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Int. J. Mol. Sci., Volume 17, Issue 2 (February 2016) – 125 articles

Cover Story (view full-size image): The image shows immunofluorescent staining of the hippocampus of SLICK-CB1 mice. The cannabinoid 1 receptor (CB1) is red, nuclei are blue and EYFP positive neurons are green. SLICK refers to “single neuron labeling with Cre-inducible knockout”. In tamoxifen treatment, CB1 is deleted in EYFP positive neurons. By Irmgard Tegeder View this paper
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2472 KiB  
Article
Exploring the Role of Different Neonatal Nutrition Regimens during the First Week of Life by Urinary GC-MS Metabolomics
by Angelica Dessì, Antonio Murgia, Rocco Agostino, Maria Grazia Pattumelli, Andrea Schirru, Paola Scano, Vassilios Fanos and Pierluigi Caboni
Int. J. Mol. Sci. 2016, 17(2), 265; https://doi.org/10.3390/ijms17020265 - 22 Feb 2016
Cited by 45 | Viewed by 6743
Abstract
In this study, a gas-chromatography mass spectrometry (GC-MS) metabolomics study was applied to examine urine metabolite profiles of different classes of neonates under different nutrition regimens. The study population included 35 neonates, exclusively either breastfed or formula milk fed, in a seven-day timeframe. [...] Read more.
In this study, a gas-chromatography mass spectrometry (GC-MS) metabolomics study was applied to examine urine metabolite profiles of different classes of neonates under different nutrition regimens. The study population included 35 neonates, exclusively either breastfed or formula milk fed, in a seven-day timeframe. Urine samples were collected from intrauterine growth restriction (IUGR), large for gestational age (LGA), and appropriate gestational age (AGA) neonates. At birth, IUGR and LGA neonates showed similarities in their urine metabolite profiles that differed from AGA. When neonates started milk feeding, their metabolite excretion profile was strongly characterized by the different diet regimens. After three days of formula milk nutrition, urine had higher levels of glucose, galactose, glycine and myo-inositol, while up-regulated aconitic acid, aminomalonic acid and adipic acid were found in breast milk fed neonates. At seven days, neonates fed with formula milk shared higher levels of pseudouridine with IUGR and LGA at birth. Breastfed neonates shared up-regulated pyroglutamic acid, citric acid, and homoserine, with AGA at birth. The role of most important metabolites is herein discussed. Full article
(This article belongs to the Section Biochemistry)
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<p>Gas-chromatography mass spectrometry (GC-MS) chromatograms of urine samples collected at the first day of life.</p>
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<p>Orthogonal partial least square discriminant analysis (OPLS-DA) of appropriate gestational age (AGA) <span class="html-italic">vs.</span> intrauterine growth restriction (IUGR) + large for gestational age (LGA) neonates at birth, R<sup>2</sup>Y = 0.71, Q<sup>2</sup>Y = 0.36. Score plot, triangles represent the AGA class, filled and empty circles LGA and IUGR, respectively. Separation of classes is maximized through the predictive component (<span class="html-italic">x</span>-axis), intraclass variability is described through the orthogonal component (<span class="html-italic">y</span>-axis).</p>
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<p>OPLS-DA of breast milk (BM) <span class="html-italic">vs.</span> formula milk (FM) fed neonates at T2, R<sup>2</sup>Y = 0.81 and Q<sup>2</sup>Y = 0.69. Score plot, triangles represent the AGA class, filled and empty circles LGA and IUGR, respectively. Black and grey colours represent BM and FM feeding, respectively. Separation of classes is maximized through the predictive component (<span class="html-italic">x</span>-axis), intraclass variability is described through the orthogonal component (<span class="html-italic">y</span>-axis).</p>
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<p>Comparison between the most discriminant metabolites. Box plots display the metabolite quantitative variation in each class.</p>
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<p>OPLS-DA of BM <span class="html-italic">vs.</span> FM neonates at T3, R<sup>2</sup>Y = 0.88 and Q<sup>2</sup>Y = 0.61. Score plot, triangles represent the AGA class, filled and empty circles LGA and IUGR, respectively. Black and grey colours represent BM and FM feeding, respectively.</p>
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<p>Comparison between most discriminant metabolites. Box plots display the metabolite quantitative variation in each class.</p>
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2125 KiB  
Article
Benzyl Isothiocyanate Inhibits Prostate Cancer Development in the Transgenic Adenocarcinoma Mouse Prostate (TRAMP) Model, Which Is Associated with the Induction of Cell Cycle G1 Arrest
by Han Jin Cho, Do Young Lim, Gyoo Taik Kwon, Ji Hee Kim, Zunnan Huang, Hyerim Song, Yoon Sin Oh, Young-Hee Kang, Ki Won Lee, Zigang Dong and Jung Han Yoon Park
Int. J. Mol. Sci. 2016, 17(2), 264; https://doi.org/10.3390/ijms17020264 - 22 Feb 2016
Cited by 21 | Viewed by 7105
Abstract
Benzyl isothiocyanate (BITC) is a hydrolysis product of glucotropaeolin, a compound found in cruciferous vegetables, and has been shown to have anti-tumor properties. In the present study, we investigated whether BITC inhibits the development of prostate cancer in the transgenic adenocarcinoma mouse prostate [...] Read more.
Benzyl isothiocyanate (BITC) is a hydrolysis product of glucotropaeolin, a compound found in cruciferous vegetables, and has been shown to have anti-tumor properties. In the present study, we investigated whether BITC inhibits the development of prostate cancer in the transgenic adenocarcinoma mouse prostate (TRAMP) mice. Five-week old, male TRAMP mice and their nontransgenic littermates were gavage-fed with 0, 5, or 10 mg/kg of BITC every day for 19 weeks. The weight of the genitourinary tract increased markedly in TRAMP mice and this increase was suppressed significantly by BITC feeding. H and E staining of the dorsolateral lobes of the prostate demonstrated that well-differentiated carcinoma (WDC) was a predominant feature in the TRAMP mice. The number of lobes with WDC was reduced by BITC feeding while that of lobes with prostatic intraepithelial neoplasia was increased. BITC feeding reduced the number of cells expressing Ki67 (a proliferation marker), cyclin A, cyclin D1, and cyclin-dependent kinase (CDK)2 in the prostatic tissue. In vitro cell culture results revealed that BITC decreased DNA synthesis, as well as CDK2 and CDK4 activity in TRAMP-C2 mouse prostate cancer cells. These results indicate that inhibition of cell cycle progression contributes to the inhibition of prostate cancer development in TRAMP mice treated with BITC. Full article
(This article belongs to the Special Issue The Mechanism of Action of Food Components in Disease Prevention)
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<p>BITC administration delays prostate cancer development in TRAMP mice. Male TRAMP mice and their nontransgenic littermates at five weeks of age were randomly divided into control and BITC-treatment groups and gavage-fed with 0 (vehicle), 5, or 10 mg/kg of BITC every day. At 24 weeks of age, all mice were sacrificed, the GU tracts were excised from the mice and weighed. (<b>A</b>) Body weights and (<b>B</b>) the GU tract weights; (<b>C</b>) Representative photographs of the H and E stained DP from each group (×200); (<b>D</b>) The incidence of the prostatic intraepithelial neoplasia and adenocarcinoma of the prostate in TRAMP mice. Data represents the mean ± SEM (<span class="html-italic">n</span> = 5). Means without a common letter differ, <span class="html-italic">p</span> &lt; 0.05. GU tract, genitourinary tract; PIN, prostatic intraepithelial neoplasia; WDC, well-differentiated carcinoma. Scale bar, 100 μm.</p>
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<p>BITC administration reduces the expression of Ki67, CDK2, cyclin A, and cyclin D1 in the prostate epithelium. The prostate sections were immunohistochemically stained using a Ki67, CDK2, CDK4, cyclin A, cyclin D1, or p21 antibody. (<b>A</b>) Representative photographs of DAB-stained tissue specimens; (<b>B</b>) The number of immune-positive cells were counted and expressed as a percentage of total cells; (<b>C</b>) The staining intensity was quantified and the control groups (0 mg/kg BITC-fed TRAMP mice) were set as 100%. Data represents the mean ± SEM (<span class="html-italic">n</span> = 5). Means without a common letter differ, <span class="html-italic">p</span> &lt; 0.05. Scale bar, 100 μm.</p>
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<p>BITC inhibits cell proliferation and induces G1 cell cycle arrest in TRAMP-C2 cells. TRAMP-C2 or DU145 cells were plated in 24-well plates at 5 × 10<sup>4</sup> cells/well. Twenty-four hours after plating, the monolayers were serum-deprived in DMEM/F12 containing 1% charcoal-stripped FBS for 6 h. (<b>A</b>) TRAMP-C2 cells were treated with 0, 5, 10, or 20 µmol/L BITC for one, two, and three days; (<b>B</b>) DU145 human prostate cancer cells were treated with 0, 5, or 10 µmol/L BITC for one day. (<b>A</b>,<b>B</b>) Viable cell numbers were estimated by MTT assay. Each bar represents the mean ± SEM (<span class="html-italic">n</span> = 6); (<b>C</b>) TRAMP-C2 cells were treated with 0, 5, 10, or 20 µmol/L BITC in the presence of [<sup>3</sup>H]thymidine for 3 h. Each bar represents the mean ± SEM (<span class="html-italic">n</span> = 6); (<b>D</b>) TRAMP-C2 cells were incubated for 3 h in serum-deprivation medium containing BITC (0 or 20 µmol/L). The nuclei were stained with propidium iodide and the cell cycle was analyzed via flow cytometry. Each bar represents the mean ± SEM (<span class="html-italic">n</span> = 5). (<b>A</b>–<b>C</b>) Means without a common letter differ, <span class="html-italic">p</span> &lt; 0.05; (<b>D</b>) * <span class="html-italic">p</span> &lt; 0.05 as compared with the control group.</p>
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<p>BITC reduces the expression of cyclin A and cyclin D1 and inhibits the activity of CDK2 and CDK4 in TRAMP-C2 mouse prostate cancer cells. Cells were plated in 100 mm dishes at 1 × 10<sup>6</sup> cells/dish. Twenty-four h after plating, the monolayers were serum-deprived in serum-deprivation medium for 6 h. Cells were then incubated for 3 h with serum-deprivation medium containing various concentrations of BITC (0, 5, 10, or 20 µmol/L); (<b>A</b>) The expression of CDK2, CDK4, cyclin A, and cyclin D1 were estimated by immunoblotting. The relative intensity of each band (normalized with its own β-actin) is shown above each band; (<b>B</b>,<b>C</b>) Cell lysates were incubated with an anti-CDK2 (<b>B</b>) or an anti-CDK4 (<b>C</b>) antibody and the immune complexes were precipitated with protein A sepharose. For the <span class="html-italic">in vitro</span> kinase assay, immunoprecipitated proteins were incubated with a substrate (<b>B</b>: Histone H1, <b>C</b>: retinoblastoma protein (Rb)) and [γ-<sup>32</sup>P]ATP. Each sample was subjected to SDS-PAGE and the gel was dried. The bands were visualized by autoradiography. For Western blot analysis, immunoprecipitated proteins were analyzed by Western blotting with an anti-CDK2 (<b>B</b>) or an anti-CDK4 (<b>C</b>) antibody. The relative intensity of each band was quantified and the control (0 μmol/L BITC) levels were set at 100%. Data denotes the mean ± SEM (<span class="html-italic">n</span> = 3). Means without a common letter differ, <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 5
<p>Proposed mechanisms by which BITC inhibits prostate cancer development. <span class="html-italic">In vitro</span> cell culture results (blue arrow) revealed that BITC treatment decreases the expression of CDK2, CDK4, cyclin A, and cyclin D1, as well as the activity of CDK2 and CDK4, thereby resulting in the induction of G1 cell cycle arrest. <span class="html-italic">In vivo</span> results (red arrow) revealed that BITC administration decreases the expression of CDK2, cyclin A, cyclin D1, and the number of Ki67 (a proliferation marker)-positive cells in the prostatic tissue, resulting in decreases in prostate cancer development.</p>
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216 KiB  
Review
Intracellular Delivery of Proteins with Cell-Penetrating Peptides for Therapeutic Uses in Human Disease
by Ana Dinca, Wei-Ming Chien and Michael T. Chin
Int. J. Mol. Sci. 2016, 17(2), 263; https://doi.org/10.3390/ijms17020263 - 22 Feb 2016
Cited by 123 | Viewed by 9695
Abstract
Protein therapy exhibits several advantages over small molecule drugs and is increasingly being developed for the treatment of disorders ranging from single enzyme deficiencies to cancer. Cell-penetrating peptides (CPPs), a group of small peptides capable of promoting transport of molecular cargo across the [...] Read more.
Protein therapy exhibits several advantages over small molecule drugs and is increasingly being developed for the treatment of disorders ranging from single enzyme deficiencies to cancer. Cell-penetrating peptides (CPPs), a group of small peptides capable of promoting transport of molecular cargo across the plasma membrane, have become important tools in promoting the cellular uptake of exogenously delivered proteins. Although the molecular mechanisms of uptake are not firmly established, CPPs have been empirically shown to promote uptake of various molecules, including large proteins over 100 kiloDaltons (kDa). Recombinant proteins that include a CPP tag to promote intracellular delivery show promise as therapeutic agents with encouraging success rates in both animal and human trials. This review highlights recent advances in protein-CPP therapy and discusses optimization strategies and potential detrimental effects. Full article
(This article belongs to the Special Issue Cell-Penetrating Peptides)
1510 KiB  
Article
Identification and Evolution of Functional Alleles of the Previously Described Pollen Specific Myrosinase Pseudogene AtTGG6 in Arabidopsis thaliana
by Lili Fu, Bingying Han, Deguan Tan, Meng Wang, Mei Ding and Jiaming Zhang
Int. J. Mol. Sci. 2016, 17(2), 262; https://doi.org/10.3390/ijms17020262 - 22 Feb 2016
Cited by 6 | Viewed by 5036
Abstract
Myrosinases are β-thioglucoside glucohydrolases and serve as defense mechanisms against insect pests and pathogens by producing toxic compounds. AtTGG6 in Arabidopsis thaliana was previously reported to be a myrosinase pseudogene but specifically expressed in pollen. However, we found that AlTGG6, an ortholog [...] Read more.
Myrosinases are β-thioglucoside glucohydrolases and serve as defense mechanisms against insect pests and pathogens by producing toxic compounds. AtTGG6 in Arabidopsis thaliana was previously reported to be a myrosinase pseudogene but specifically expressed in pollen. However, we found that AlTGG6, an ortholog to AtTGG6 in A. lyrata (an outcrossing relative of A. thaliana) was functional, suggesting that functional AtTGG6 alleles may still exist in A. thaliana. AtTGG6 alleles in 29 A. thaliana ecotypes were cloned and sequenced. Results indicate that ten alleles were functional and encoded Myr II type myrosinase of 512 amino acids, and myrosinase activity was confirmed by overexpressing AtTGG6 in Pichia pastoris. However, the 19 other ecotypes had disabled alleles with highly polymorphic frame-shift mutations and diversified sequences. Thirteen frame-shift mutation types were identified, which occurred independently many times in the evolutionary history within a few thousand years. The functional allele was expressed specifically in pollen similar to the disabled alleles but at a higher expression level, suggesting its role in defense of pollen against insect pests such as pollen beetles. However, the defense function may have become less critical after A. thaliana evolved to self-fertilization, and thus resulted in loss of function in most ecotypes. Full article
(This article belongs to the Special Issue Gene–Environment Interactions)
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<p>Chromosomal locations and phylogenetic analysis of Myr II members in <span class="html-italic">Arabidopsis lyrata</span> and <span class="html-italic">A. thaliana</span>. (<b>A</b>) Chromosomal locations of Myr II genes in <span class="html-italic">A. thaliana</span>; (<b>B</b>) Chromosomal locations of Myr II genes in <span class="html-italic">A. lyrata</span>; (<b>C</b>) Phylogeny inferred from cDNAs of Myr II members in <span class="html-italic">A. thaliana</span> and <span class="html-italic">A. lyrata</span>, using Myr I myrosinases <span class="html-italic">AtTGG1</span> (At5g26000), <span class="html-italic">AtTGG2</span> (At5g25980), and <span class="html-italic">AtTGG3</span> (At5g48375) as outgroups. Note: <span class="html-italic">AtTGG4</span> (At1g47600) and <span class="html-italic">AtTGG5</span> (At1g51470) cDNA sequences were from ecotype Col-0, <span class="html-italic">AtTGG6</span> (At1g51490) sequence was from ecotype Tsu-1 (GenBank accession number KU301834). <span class="html-italic">AlTGG</span> cDNA sequences were obtained by annotating a genomic scaffold (NW_003302555) in <span class="html-italic">A. lyrata</span>, and partially confirmed by sequencing the PCR-amplified cDNAs. The sequences were deposited in the GenBank database under accession numbers KU301856, KU301857, KU301858, and KU301859 for <span class="html-italic">AlTGG4</span>, <span class="html-italic">AlTGG5</span>, <span class="html-italic">AlTGG6</span>, and <span class="html-italic">AlTGG45</span>, respectively.</p>
Full article ">Figure 2
<p>Myrosinase activity of recombinant AtTGG6 from <span class="html-italic">Arabidopsis</span> ecotype Tsu-1. (<b>A</b>) Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) of recombinant protein overexpressed in <span class="html-italic">Pichia pastoris</span> GS115; <b>Lane 1</b>, molecular weight marker, the mass of each band in kilodalton (kD) is shown to the left; <b>Lane 2</b>, purified recombinant AtTGG6; (<b>B</b>) Myrosinase activity of purified AtTGG6 as visualized using a glucose test reagent; AtTGG6 + Vc, AtTGG6 (50 ng) plus 0.8 mM ascorbic acid (Vc); AtTGG6 − Vc, AtTGG6 (50 ng) only, Vc not added; CK, AtTGG6 (50 ng) disabled by heating at 95 °C for 5 min before use.</p>
Full article ">Figure 3
<p>Phylogenetic analysis of <span class="html-italic">AtTGG6</span> genomic (<b>A</b>) and cDNA (<b>B</b>) sequences by Maximum Likelihood method. The evolutionary history was inferred based on the Tamura–Nei model [<a href="#B23-ijms-17-00262" class="html-bibr">23</a>]. The bootstrap values over 50% are shown next to the branches. Initial tree(s) for the heuristic search were obtained automatically. The tree is drawn to scale, with branch lengths measured in million years (MYA) and substitutions per site (SPS). Evolutionary analyses were conducted in MEGA6 [<a href="#B24-ijms-17-00262" class="html-bibr">24</a>]. Functional alleles are highlighted in green or blue. The two functional alleles in Tsu-1 and Mr-0 which are clustered different in genomic and cDNA phylogenies are highlighted in blue.</p>
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<p>Expression pattern of functional (<b>A</b>–<b>H</b>) and disabled (<b>I</b>–<b>L</b>) alleles of <span class="html-italic">AtTGG6</span> in <span class="html-italic">Arabidopsis thaliana</span>. Functional <span class="html-italic">Prom::GUS</span> and disabled <span class="html-italic">Prom::GUS</span> were transformed into Col-0, and stained with X-gluxuronide solution. (<b>A</b>) Rosette; (<b>B</b>) stem; (<b>C</b>) leaves; and (<b>D</b>) root of transgenic plant with functional <span class="html-italic">Prom::GUS</span>; (<b>E</b>) a flower bud opened with a needle showing no <span class="html-italic">GUS</span> staining; (<b>F</b>) a flower one day before flowering opened with a needle showing the early expression; (<b>G</b>) a fully opened flower showing the high expression level; (<b>H</b>) an anther showing predominant expression in pollen; (<b>I</b>) a flower bud of disabled <span class="html-italic">Prom::GUS</span> opened with a needle showing no GUS staining; (<b>J</b>) a flower of disabled <span class="html-italic">Prom::GUS</span> one day before flowering showing weak expression; (<b>K</b>) a fully opened flower of disabled <span class="html-italic">Prom::GUS</span> showing expression at moderate level; (<b>L</b>) an anther showing disabled <span class="html-italic">AtTGG6</span> predominantly transcribed in pollen.</p>
Full article ">
4907 KiB  
Article
Cloning and Characterization of a Flavonoid 3′-Hydroxylase Gene from Tea Plant (Camellia sinensis)
by Tian-Shan Zhou, Rui Zhou, You-Ben Yu, Yao Xiao, Dong-Hua Li, Bin Xiao, Oliver Yu and Ya-Jun Yang
Int. J. Mol. Sci. 2016, 17(2), 261; https://doi.org/10.3390/ijms17020261 - 22 Feb 2016
Cited by 38 | Viewed by 8211
Abstract
Tea leaves contain abundant flavan-3-ols, which include dihydroxylated and trihydroxylated catechins. Flavonoid 3′-hydroxylase (F3′H: EC 1.14.13.21) is one of the enzymes in the establishment of the hydroxylation pattern. A gene encoding F3′H, designated as CsF3H, was isolated from Camellia sinensis [...] Read more.
Tea leaves contain abundant flavan-3-ols, which include dihydroxylated and trihydroxylated catechins. Flavonoid 3′-hydroxylase (F3′H: EC 1.14.13.21) is one of the enzymes in the establishment of the hydroxylation pattern. A gene encoding F3′H, designated as CsF3H, was isolated from Camellia sinensis with a homology-based cloning technique and deposited in the GenBank (GenBank ID: KT180309). Bioinformatic analysis revealed that CsF3H was highly homologous with the characterized F3Hs from other plant species. Four conserved cytochrome P450-featured motifs and three F3′H-specific conserved motifs were discovered in the protein sequence of CsF3H. Enzymatic analysis of the heterologously expressed CsF3H in yeast demonstrated that tea F3′H catalyzed the 3′-hydroxylation of naringenin, dihydrokaempferol and kaempferol. Apparent Km values for these substrates were 17.08, 143.64 and 68.06 μM, and their apparent Vmax values were 0.98, 0.19 and 0.44 pM·min−1, respectively. Transcription level of CsF3H in the new shoots, during tea seed germination was measured, along with that of other key genes for flavonoid biosynthesis using real-time PCR technique. The changes in 3′,4′-flavan-3-ols, 3′,4′,5′-flavan-3-ols and flavan-3-ols, were consistent with the expression level of CsF3H and other related genes in the leaves. In the study of nitrogen supply for the tea plant growth, our results showed the expression level of CsF3H and all other tested genes increased in response to nitrogen depletion after 12 days of treatment, in agreement with a corresponding increase in 3′,4′-catechins, 3′,4′,5′-catechins and flavan 3-ols content in the leaves. All these results suggest the importance of CsF3H in the biosynthesis of 3′,4′-catechins, 3′,4′,5′-catechins and flavan 3-ols in tea leaves. Full article
(This article belongs to the Special Issue Molecular Research in Plant Secondary Metabolism 2015)
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Full article ">Figure 1
<p>Suggested biosynthetic pathways of flavan 3-ols in <span class="html-italic">Camellia sinensis</span> leaves. Abbreviations of enzymes are as follows: PAL, phenylalanine ammonia-lyase (EC 4.3.1.24); C4H, cinnamic acid 4-hydroxylase (EC 1.14.13.11); 4CL, 4-coumarate-CoA ligase (EC 6.2.1.12); CHS, chalcone synthase (EC 2.3.1.74); CHI, chalcone isomerase (EC 5.5.1.6); F3H, flavanone 3-hydroxylase (EC 1.14.11.9); F3′,5′H, flavonoid 3′,5′-hydroxylase (EC 1.14.13.88); F3′H, flavonoid 3′-hydroxylase (EC 1.14.13.21); FLS, flavonol synthase (EC 1.14.11.23); DFR, dihydroflavanol 4-reductase (EC 1.1.1.219); ANS, anthocyanidin synthase (EC 1.14.11.19); ANR, anthocyanidin reductase (EC 1.3.1.77); LAR, leucocyanidin reductase (EC 1.17.1.3); FGS, flavan 3-ol gallate synthase (EC number not assigned).</p>
Full article ">Figure 2
<p>Multiple sequence alignment of the CsF3′H protein and five flavonoid 3′-hydroxylases (F3′Hs). Besides CsF3′H, other amino acid sequences included in this alignment were AtF3′H (Genbank ID: CAB62611.1); PhF3′H (Genbank ID: AAD56282.1); EgF3′H (Genbank ID: BAP94456.1); MdF3′H (Genbank ID: ACR14867.1) and IbF3′H (Genbank ID: AEH42499.1). At, <span class="html-italic">Arabidopsis thaliana</span>; Ph, <span class="html-italic">Petunia hybrida</span>; Eg, <span class="html-italic">Eustoma grandiflorum</span>; Md, <span class="html-italic">Malus×domestica</span>; Ib, <span class="html-italic">Ipomoea batatas</span>. Dark-blue shading and pinkish shading reflect 100% and 75% amino acid residues conservation, respectively. The P450-featured conserved motif, including the proline-rich “hinge” region (I), oxygen binding pocket motif (II), E-R-R motif (III) and heme-binding domain (IV) are boxed in green. Three F3′H-specific conserved motifs are boxed in yellow (marked A, B and C).</p>
Full article ">Figure 3
<p>Phylogenetic analysis of CsF3′H protein and the proteins of F3′H and F3′5′H from other species. The phylogenetic tree was constructed from the ClustalW alignment using the neighbour joining method by the MEGA 6.0 program. Branches were labelled with the protein names and GenBank accession numbers. The scale bar represents 0.1 substitutions per site, and the numbers next to the nodes were bootstrap values from 1000 replicates.</p>
Full article ">Figure 4
<p>HPLC chromatograms of products from yeast cells with naringenin, dihydrokaempferol and kaempferol as substrates. HPLC chromatograms of products from pYES-dest52-<span class="html-italic">CsF3</span>′<span class="html-italic">H</span> with naringenin (<b>A</b>), dihydrokaempferol (<b>C</b>) and kaempferol (<b>E</b>) as substrates; HPLC chromatograms of products from the control with naringenin (<b>B</b>), dihydrokaempferol (<b>D</b>) and kaempferol (<b>F</b>) as substrates.</p>
Full article ">Figure 5
<p>Tea seedlings at different developmental stages. <b>S1</b>, <b>S2</b>, <b>S3</b> and <b>S4</b> indicate the tea seedling at 20, 30, 40 and 50 d after germination respectively. Sampling sites were boxed in yellow.</p>
Full article ">Figure 6
<p>Expression levels of <span class="html-italic">CsF3</span>′<span class="html-italic">H</span> &amp; other flavan 3-ol biosynthesis related genes for tea seedling at different stages. The data represent the mean ± SD from three independent measurements. Means in each column for each genes labeled with the same letter are not significantly different (<span class="html-italic">p</span> &gt; 0.05) based on one-way ANOVA with Duncan’s multiple range test.</p>
Full article ">Figure 6 Cont.
<p>Expression levels of <span class="html-italic">CsF3</span>′<span class="html-italic">H</span> &amp; other flavan 3-ol biosynthesis related genes for tea seedling at different stages. The data represent the mean ± SD from three independent measurements. Means in each column for each genes labeled with the same letter are not significantly different (<span class="html-italic">p</span> &gt; 0.05) based on one-way ANOVA with Duncan’s multiple range test.</p>
Full article ">Figure 7
<p>Content of flavan 3-ols in tea seedling at different developmental stages. The data represent the mean ± SD from three independent measurements. Means in each column for each flavan 3-ol labeled with the same letter are not significantly different (<span class="html-italic">p</span> &gt; 0.05) based on one-way ANOVA with Duncan’s multiple range test.</p>
Full article ">Figure 7 Cont.
<p>Content of flavan 3-ols in tea seedling at different developmental stages. The data represent the mean ± SD from three independent measurements. Means in each column for each flavan 3-ol labeled with the same letter are not significantly different (<span class="html-italic">p</span> &gt; 0.05) based on one-way ANOVA with Duncan’s multiple range test.</p>
Full article ">Figure 8
<p>Content of flavan 3-ols in nitrogen deprived tea plants. The data represent the mean ± SD from three independent measurements.</p>
Full article ">Figure 9
<p>Expression levels of <span class="html-italic">CsF3′H</span> and other flavan 3-ol biosynthesis related genes in nitrogen deprived tea plants. The data represents the mean ± SD from three independent measurements. Means in each column for each genes labeled with the same letter are not significantly different (<span class="html-italic">p</span> &gt; 0.05) based on one-way ANOVA with Duncan’s multiple range test.</p>
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8877 KiB  
Article
Chalcone-Induced Apoptosis through Caspase-Dependent Intrinsic Pathways in Human Hepatocellular Carcinoma Cells
by Rodrigo Ramirez-Tagle, Carlos A. Escobar, Valentina Romero, Ignacio Montorfano, Ricardo Armisén, Vincenzo Borgna, Emanuel Jeldes, Luis Pizarro, Felipe Simon and Cesar Echeverria
Int. J. Mol. Sci. 2016, 17(2), 260; https://doi.org/10.3390/ijms17020260 - 22 Feb 2016
Cited by 33 | Viewed by 6994
Abstract
Hepatocellular carcinoma (HCC) is one of the most commonly diagnosed cancers worldwide. Chemoprevention of HCC can be achieved through the use of natural or synthetic compounds that reverse, suppress or prevent the development of cancer progression. In this study, we investigated the antiproliferative [...] Read more.
Hepatocellular carcinoma (HCC) is one of the most commonly diagnosed cancers worldwide. Chemoprevention of HCC can be achieved through the use of natural or synthetic compounds that reverse, suppress or prevent the development of cancer progression. In this study, we investigated the antiproliferative effects and the mechanism of action of two compounds, 2,3,4′-trimethoxy-2′-hydroxy-chalcone (CH1) and 3′-bromo-3,4-dimethoxy-chalcone (CH2), over human hepatoma cells (HepG2 and Huh-7) and cultured mouse hepatocytes (HepM). Cytotoxic effects were observed over the HepG2 and Huh-7, and no effects were observed over the HepM. For HepG2 cells, treated separately with each chalcone, typical apoptotic laddering and nuclear condensation were observed. Additionally, the caspases and Bcl-2 family proteins activation by using Western blotting and immunocytochemistry were studied. Caspase-8 was not activated, but caspase-3 and -9 were both activated by chalcones in HepG2 cells. Chalcones also induced reactive oxygen species (ROS) accumulation after 4, 8 and 24 h of treatment in HepG2 cells. These results suggest that apoptosis in HepG2 was induced through: (i) a caspase-dependent intrinsic pathway; and (ii) by alterations in the cellular levels of Bcl-2 family proteins, and also, that the chalcone moiety could be a potent candidate as novel anticancer agents acting on human hepatomas. Full article
(This article belongs to the Special Issue Molecular Mechanisms of Human Liver Diseases)
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<p>Expression of hepatic markers by RT-PCR and Western blot: (<b>a</b>) Markers of hepatic mRNAs were amplified. Electrophoresis agarose seen in the amplified fragments of 310, 210 and 190 bp, corresponding to albumin, transferrin and HNF-4α, respectively. The fragment was generated from the cDNA obtained from total RNA Huh-7, HepG2 and HEPM cells. Huh-7 and HepG2 cells were used as positive control. HFK cells were used as negative control. Reverse transcriptase in the absence of product is not detected (lanes 2, 4, 6, 8). M corresponds to the marking of 100 bp molecular size; (<b>b</b>) Constitutively expressed gene 18S rRNA was used as an internal control; (<b>c</b>) Expression of the protein αSMA. By Western blot, the protein expression of αSMA was determined in the hepatic (Huh-7, HepG2 and HepM) and fibroblast cells (Fb (+)). Constitutively expressed calnexin was used as an internal control.</p>
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<p>Effect of the chalcones CH1 and CH2 on the growth of human hepatocellular carcinoma (HepG2 and HuH-7) and normal mouse hepatocyte (HepM). Structures of CH1 and CH2 (<b>a</b>); HepG2 (<b>b</b>,<b>c</b>); HuH-7 (<b>d</b>) and HepM (<b>e</b>) were treated with various concentrations of the compounds CH1 (Black bars) and CH2 (White bars) for 24 (<b>b</b>) and 48 (<b>c</b>–<b>e</b>) h. Chalcones combined (CH1:CH2) were used in HepG2 (<b>f</b>) and HuH-7 (<b>g</b>) cells for 48 h. Cell viability was measured using the MTT assay. Data are expressed as the mean ± SEM from three independent experiments, each performed in triplicate. Statistical differences were assessed by a one-way ANOVA (Kruskal–Wallis) followed by Dunn’s <span class="html-italic">post hoc</span> test. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 compared with the condition 0 μM, NS, Non-significant.</p>
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<p>HepG2 and HepM cells exposed to chalcones CH1 and CH2. HepG2 and HepM cells were grown for 24 h, and then treated with each chalcone, independently. Figures show representative phase-contrast images from at least three separates experiments of HepG2 (<b>a</b>–<b>c</b>) and HepM (<b>d</b>–<b>f</b>) exposed to vehicle (control) (<b>a</b>,<b>d</b>); 50 μM CH1 (green) (<b>b</b>,<b>e</b>); and 50 μM CH2 (green) (<b>c</b>,<b>f</b>). Bar scale represents 10 μm.</p>
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<p>Chalcones induced laddering and nuclear condensation of HepG2 cells a process that requires caspase activity. (<b>a</b>) Cells were treated with CH1 and CH2 (50 μM) for 24 h and preincubated with zVAD (50 μM) for 2 h (case +), when the cells were incubated in the absence of inhibitor (case -), typical laddering indicative of apoptosis was observed. DMSO was used as control positive of laddering; (<b>b</b>) HepG2 (<b>i</b>–<b>iii</b>) and HepM (<b>iv</b>–<b>vi</b>) cells were treated with vehicle (<b>i</b>,<b>iv</b>), CH1 (<b>ii</b>,<b>v</b>) and CH2 (<b>iii</b>,<b>vi</b>) for 24 h. Cells were stained with DAPI (blue) and the arrow indicated nuclear condensation. Bar scale represents 10 μm.</p>
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<p>Chalcone-induced apoptosis in HepG2 cells as assayed by flow cytometry. (<b>a</b>) HepG2 cells were treated with CH1 and CH2 (50 μM) for 24 h. The cells were then harvested and stained with Annexin V and PI and flow cytometric analysis was performed to analyze the apoptosis; (<b>b</b>) Summary of the apoptosis data in histogram form. Data are expressed as the mean ± standard error of the mean (SEM) from at least three independent experiments. * <span class="html-italic">p</span> &lt; 0.05 <span class="html-italic">vs.</span> the untreated (UT) group; ** <span class="html-italic">p</span> &lt; 0.01 <span class="html-italic">vs.</span> the untreated group.</p>
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<p>Chalcones do not induce caspase extrinsic pathway in HepG2 cells. (<b>a</b>–<b>d</b>) Cells were treated with CH1 and CH2 (50 μM, each) and protein expression was analyzed. (<b>a</b>,<b>c</b>) Representative images from Western blot experiments performed for the detection of caspase-8; (<b>b</b>,<b>d</b>) Densitometric analyses of the experiments shown in (<b>a</b>,<b>c</b>), respectively. Protein levels were normalized against HSP70 and data are expressed relative to the UT (untreated) condition. Data are expressed as the mean ± standard error of the mean (SEM) from at least three independent experiments. Statistical differences were assessed by a one-way ANOVA (Kruskal–Wallis) followed by Dunn’s <span class="html-italic">post hoc</span> test. NS: Not significant.</p>
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<p>Chalcones-induced caspase intrinsic pathway in HepG2 cells. (<b>a</b>–<b>h</b>) Cells were treated with CH1 and CH2 (50 μM, each) and protein expression was analyzed. (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>) Representative images from Western blot experiments performed for the detection of C-caspase-9 and C-caspase-3; (<b>b</b>,<b>d</b>,<b>f</b>,<b>h</b>) Densitometric analyses of the experiments shown in (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>), respectively. Protein levels were normalized against HSP70 and data are expressed relative to the UT (untreated) condition. Data are expressed as the mean ± standard error of the mean (SEM) from at least three independent experiments. Statistical differences were assessed by a one-way ANOVA (Kruskal–Wallis) followed by Dunn’s <span class="html-italic">post hoc</span> test. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01 <span class="html-italic">vs.</span> UT group.</p>
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<p>Chalcones-induced increase ratio Bax/Bcl-2 in HepG2 cells. (<b>a</b>–<b>h</b>) Cells were treated with CH1 and CH2 (50 μM, each) and protein expression was analyzed; (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>) Representative images from Western blot experiments performed for the detection of Bax and Bcl-2; (<b>b</b>,<b>d</b>,<b>f</b>,<b>h</b>) Densitometric analyses of the experiments shown in (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>), respectively. (<b>i</b>,<b>j</b>) the data were presented in the bar graphs as Bax/Bcl-2 ratio. Protein levels were normalized against HSP70 and data were expressed relative to the UT (untreated) condition. Data are expressed as the mean ± standard error of the mean (SEM) from at least three independent experiments. Statistical differences were assessed by a one-way ANOVA (Kruskal–Wallis) followed by Dunn’s <span class="html-italic">post hoc</span> test. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01 <span class="html-italic">vs.</span> UT group.</p>
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<p>Protein expression of caspase-3 and Bcl-2 in HepG2 cells as shown by immunocytochemical analysis. HepG2 cells were treated with 50 μM of CH1 for 24 h, and then immunocytochemical analyses were performed as described in Materials and Methods. Cells were fixed and immunostained with anti-tubulin antibody (green), anti-caspase-3 (red) and cell nuclei were counterstained with DAPI reagent (blue). (<b>a</b>) The results revealed that CH1 increased caspase-3 expression in HepG2 cells; (<b>b</b>) CH1 was shown to decrease Bcl-2 expression in HerpG2 cells. These findings also suggest that CH1 induces the apoptosis of HepG2 cells <span class="html-italic">in vitro</span>. Tubulin was used as expression control. Bar scale represents 20 μm.</p>
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<p>Protein expression of caspase-3 and Bcl-2 in HepG2 cells as shown by immunocytochemical analysis. Cells were treated with 50 μM of CH2 for 24 h, and then immunocytochemical analyses were performed as described in Materials and Methods. Cells were fixed and immunostained with anti-tubulin antibody (green), anti-caspase-3 (red) and cell nuclei were counterstained with DAPI reagent (blue). (<b>a</b>) The results revealed that CH2 increased caspase-3 expression in HepG2 cells; (<b>b</b>) CH2 was shown to decrease Bcl-2 expression in HerpG2 cells. These findings also suggest that CH2 induces the apoptosis of HepG2 cells <span class="html-italic">in vitro</span>. Tubulin was used as expression control. Bar scale represents 20 μm.</p>
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<p>Chalcone effects on the HepG2 cells; Intercelular reactive oxygen species generation. CH1 and CH2 enhanced cellular ROS level. Cells were exposed to CH1 and CH2 at 50 μM for 4, 8 and 24 h. (<b>a</b>) Stained cells with DCFDA and analyzed by fluorescence in a plate reader (Tecan infinite<sup>®</sup> m200pro, Grodig, Austria); (<b>b</b>) Stained cells with DAPI (blue) and DCFDA (green), and analyzed under fluorescent microscopy EVOS<sup>®</sup> FLoid<sup>®</sup> cell (Life Tehnologies, CA, USA), Black bars represents CH1 and White bars represents CH2. Data are expressed as the mean ± standard error of the mean (SEM) from three independent experiments, each performed in triplicate. Statistical differences were assessed by a one-way ANOVA (Kruskal–Wallis) followed by Dunn’s <span class="html-italic">post hoc</span> test. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001 <span class="html-italic">vs.</span> Untreated (UT) group. Bar scale represents 20 μm.</p>
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<p>Proposed model for Chalcone-mediated apoptosis in human hepatoma cells. Solid arrow represent activation.</p>
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Article
Synthetic Human TLR9-LRR11 Peptide Attenuates TLR9 Signaling by Binding to and thus Decreasing Internalization of CpG Oligodeoxynucleotides
by Xichun Pan, Bin Li, Mei Kuang, Xin Liu, Yanyan Cen, Rongxin Qin, Guofu Ding, Jiang Zheng and Hong Zhou
Int. J. Mol. Sci. 2016, 17(2), 242; https://doi.org/10.3390/ijms17020242 - 22 Feb 2016
Cited by 30 | Viewed by 6042
Abstract
Toll-like receptor (TLR) 9 is an endosomal receptor recognizing bacterial DNA/CpG-containing oligodeoxynucleotides (CpG ODN). Blocking CpG ODN/TLR9 activity represents a strategy for therapeutic prevention of immune system overactivation. Herein, we report that a synthetic peptide (SP) representing the leucine-rich repeat 11 subdomain of [...] Read more.
Toll-like receptor (TLR) 9 is an endosomal receptor recognizing bacterial DNA/CpG-containing oligodeoxynucleotides (CpG ODN). Blocking CpG ODN/TLR9 activity represents a strategy for therapeutic prevention of immune system overactivation. Herein, we report that a synthetic peptide (SP) representing the leucine-rich repeat 11 subdomain of the human TLR9 extracellular domain could attenuate CpG ODN/TLR9 activity in RAW264.7 cells by binding to CpG ODN and decreasing its internalization. Our results demonstrate that preincubation with SP specifically inhibited CpG ODN- but not lipopolysaccharide (LPS)- and lipopeptide (PAM3CSK4)-stimulated TNF-α and IL-6 release. Preincubation of SP with CpG ODN dose-dependently decreased TLR9-driven phosphorylation of IκBα and ERK and activation of NF-κB/p65. Moreover, SP dose-dependently decreased FAM-labeled CpG ODN internalization, whereas non-labeled CpG ODN reversed the inhibition. The KD value of SP-CpG ODN binding was within the micromolar range. Our results demonstrated that SP was a specific inhibitor of CpG ODN/TLR9 activity via binding to CpG ODN, leading to reduced ODN internalization and decreased activation of subsequent pathways within cells. Thus, SP could be used as a potential CpG ODN antagonist to block TLR9 signaling. Full article
(This article belongs to the Section Biochemistry)
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<p>Synthetic peptide (SP) decreased TNF-α and IL-6 release from RAW264.7 cells treated with CpG oligodeoxynucleotides (CpG ODN). RAW264.7 cells (4.0 × 10<sup>5</sup> cells) grown in 48-well plates were treated with 1.5 μM of ODN2006 or ODN107 preincubated with SP (0, 0.5, 1.5, or 4.5 μM) or unrelated peptide (URP) (4.5 μM) at 37 °C for 15 min. After incubation for 6 h, the supernatants were collected to detect TNF-α (<b>A</b>) and IL-6 (<b>B</b>) using enzyme-linked immunosorbent assay (ELISA) kits. Data from one of three independent experiments are shown (<span class="html-italic">n</span> = 4). “<b>*</b>”, <span class="html-italic">p</span> &lt; 0.05 <span class="html-italic">vs.</span> ODN2006 or ODN107; “<b>**</b>”, <span class="html-italic">p</span> &lt; 0.01 <span class="html-italic">vs.</span> ODN2006 or ODN107; “#”, <span class="html-italic">p</span> &gt; 0.05 <span class="html-italic">vs.</span> ODN2006 or ODN107.</p>
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<p>Synthetic peptide (SP) did not inhibit TNF-α and IL-6 release induced by lipopolysaccharide (LPS) or PAM3CSK4 (PAM3) from RAW264.7 cells. Experiments were performed as described in <a href="#ijms-17-00242-f001" class="html-fig">Figure 1</a>. The concentrations of ODN2006, LPS, PAM3 and SP were 1.5 μM, 20 ng/mL, 5 μg/mL and 1.5 μM, respectively. Data from one of three independent experiments are shown (<span class="html-italic">n</span> = 3).</p>
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<p>Synthetic peptide (SP) inhibited NF-κB activation induced by CpG oligodeoxynucleotides (CpG ODN) in RAW264.7 cells. RAW264.7 cells (5.0 × 10<sup>6</sup> cells) grown in six-well plates were treated with 1.5 μM of ODN2006 (<b>A</b>) or ODN107 (<b>B</b>) preincubated with SP (0, 0.5, 1.5, or 4.5 μM) or unrelated peptide (URP) (4.5 μM) at 37 °C for 15 min. After incubation for 4 h, the cells were collected to extract nuclear proteins. The p65 subunit was detected using enzyme-linked immunosorbent assay (ELISA) kits. Data from one of three independent experiments are shown (<span class="html-italic">n</span> = 3). “<b>*</b>”, <span class="html-italic">p</span> &lt; 0.05 <span class="html-italic">vs.</span> ODN2006 or ODN107; “<b>**</b>”, <span class="html-italic">p</span> &lt; 0.01 <span class="html-italic">vs.</span> ODN2006 or ODN107; “#”, <span class="html-italic">p</span> &gt; 0.05 <span class="html-italic">vs.</span> ODN2006 or ODN107.</p>
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<p>Synthetic peptide (SP) decreased the phosphorylation of IκBα and ERK1/2 in RAW264.7 cells treated with CpG oligodeoxynucleotides (CpG ODN). RAW264.7 cells (1.0 × 10<sup>7</sup> cells) grown in 10-cm dishes were treated with 1.5 μM of ODN2006 (<b>A</b>) or ODN107 (<b>B</b>) pre-incubated with SP (0, 0.5, 1.5, or 4.5 μM) at 37 °C for 15 min. After incubation for 4 h, cells were harvested to extract total protein; and the protein expressions of IκBα, phosphorylated (p)-IκBα, ERK1/2 and p-ERK1/2 were detected by western blotting. Data from one of three independent experiments are shown.</p>
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<p>Synthetic peptide (SP) inhibited ODN2006 internalization, as assessed using laser confocal scanning (Scale bar = 20 μm). RAW264.7 cells (1 × 10<sup>6</sup> cells) grown on 2-cm glass bottom dishes were treated with normal medium, 1.5 μM of FAM-labeled ODN2006 (FAM-2006) that had been preincubated with SP (0, 0.5, 1.5 or 4.5 μM) or unrelated peptide (URP; 4.5 μM) at 37 °C for 15 min. After treatment for 30 min, cells were washed with warm phosphate buffered saline (PBS) and fixed with 4% (<span class="html-italic">m</span>/<span class="html-italic">v</span>) paraformaldehyde, then stained with DAPI (4′,6-diamidino-2-phenylindole) (blue). The intracellular FAM-2006 (green) was observed using a laser confocal microscope (<b>A</b>); Mean fluorescence intensity (MFI) values (<b>B</b>) and the percentages of cells with FAM-2006 dots (green fluorescence) (<b>C</b>) were calculated by the ZENlite 2012 software (<span class="html-italic">n</span> = 100). “**”, <span class="html-italic">p</span> &lt; 0.01; “#”, <span class="html-italic">p</span> &gt; 0.05 <span class="html-italic">vs.</span> FAM-2006 alone.</p>
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<p>Synthetic peptide (SP) inhibited ODN2006 internalization, as assessed using flow cytometry analysis. RAW264.7 cells (5.0 × 10<sup>5</sup> cells) grown in 12-well plates were treated as described in <a href="#ijms-17-00242-f005" class="html-fig">Figure 5</a>. After 30 min, cells were washed with cold phosphate buffered saline (PBS), detached with trypsin/ethylenediaminetetraacetic acid (EDTA), counted, and immediately detected by flow cytometry (<b>A</b>). Mean fluorescence intensity (MFI) values (<b>B</b>) and the percentages of cells with FAM-2006 dots (green fluorescence) (<b>C</b>) were calculated using the Flowjo software (<span class="html-italic">n</span> = 3). “Count”, counted cells. “FL1-H”, the height of FL1 channel detecting FAM. “<b>**</b>”, <span class="html-italic">p</span> &lt; 0.01; “#”, <span class="html-italic">p</span> &gt; 0.05 <span class="html-italic">vs.</span> FAM-2006 alone.</p>
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<p>Non-labeled ODN2006 restored internalization of FAM-labeled ODN2006 preincubated with synthetic peptide (SP) (Scale bar = 20 μm). RAW264.7 cells (1.0 × 10<sup>6</sup> cells) grown on 2-cm glass bottom dishes were treated with FAM-labeled ODN2006 (FAM-2006) (1.5 μM) that had been pre-incubated with SP (1.5 μM) and non-labeled ODN2006 (ODN; 0, 0.5, 1.5 or 4.5 μM) at 37 °C for 15 min. After another 30-minute incubation, cells were treated as described in <a href="#ijms-17-00242-f005" class="html-fig">Figure 5</a>, then stained with DAPI (4′,6-diamidino-2-phenylindole) (blue). The intracellular FAM-2006 (green) (<b>A</b>), mean fluorescence intensity (MFI) values (<b>B</b>) and the percentages of cells with FAM-2006 dots (green fluorescence) (<b>C</b>) were observed as described in <a href="#ijms-17-00242-f005" class="html-fig">Figure 5</a> (<span class="html-italic">n</span> = 100). “<b>**</b>”, <span class="html-italic">p</span> &lt; 0.01; “#”, <span class="html-italic">p</span> &gt; 0.05 <span class="html-italic">vs.</span> FAM-2006 alone.</p>
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<p>Synthetic peptide (SP) specifically binds ODN2006. (<b>A</b>) Binding curves generated by the IAsys biosensor. Biotinylated ODN2006 was immobilized on the surface of a streptavidin-coated cuvette. A series of concentration of SP (3.1, 6.3, 12.5, 25 or 50 μM) or unrelated peptide (URP) (50 μM) were added separately into the cuvette to generate the binding curves. Data were analyzed using FASTplot, and the dissociation equilibrium constant (K<sub>D</sub>) of SP was calculated using FASTfit; (<b>B</b>) Binding curves generated by the Biacore biosensor. Biotinylated ODN2006 was immobilized on a streptavidin-coated chip, and then a series of concentrations of SP (0.63, 1.25, 2.5, 5 or 10 μM) or URP (10 μM) were loaded separately to generate the binding curves. Data analysis and K<sub>D</sub> calculation were performed using the BIAevaluation software.</p>
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Article
Transcriptome-Based Identification of Differently Expressed Genes from Xanthomonas oryzae pv. oryzae Strains Exhibiting Different Virulence in Rice Varieties
by Tae-Hwan Noh, Eun-Sung Song, Hong-Il Kim, Mi-Hyung Kang and Young-Jin Park
Int. J. Mol. Sci. 2016, 17(2), 259; https://doi.org/10.3390/ijms17020259 - 19 Feb 2016
Cited by 6 | Viewed by 6383
Abstract
Xanthomonas oryzae pv. oryzae (Xoo) causes bacterial blight (BB) in rice (Oryza sativa L.). In this study, we investigated the genome-wide transcription patterns of two Xoo strains (KACC10331 and HB1009), which showed different virulence patterns against eight rice cultivars, including [...] Read more.
Xanthomonas oryzae pv. oryzae (Xoo) causes bacterial blight (BB) in rice (Oryza sativa L.). In this study, we investigated the genome-wide transcription patterns of two Xoo strains (KACC10331 and HB1009), which showed different virulence patterns against eight rice cultivars, including IRBB21 (carrying Xa21). In total, 743 genes showed a significant change (p-value < 0.001 in t-tests) in their mRNA expression levels in the HB1009 (K3a race) strain compared with the Xoo KACC10331 strain (K1 race). Among them, four remarkably enriched GO terms, DNA binding, transposition, cellular nitrogen compound metabolic process, and cellular macromolecule metabolic process, were identified in the upregulated genes. In addition, the expression of 44 genes was considerably higher (log2 fold changes > 2) in the HB1009 (K3a race) strain than in the Xoo KACC10331 (K1 race) strain. Furthermore, 13 and 12 genes involved in hypersensitive response and pathogenicity (hrp) and two-component regulatory systems (TCSs), respectively, were upregulated in the HB1009 (K3a race) strain compared with the Xoo KACC10331 (K1 race) strain, which we determined using either quantitative real-time PCR analysis or next-generation RNA sequencing. These results will be helpful to improve our understanding of Xoo and to gain a better insight into the Xoo–rice interactions. Full article
(This article belongs to the Special Issue Microbial Genomics and Metabolomics)
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<p>Virulence assay (<b>A</b>) and lesion length (<b>B</b>) of rice varieties inoculated with two <span class="html-italic">Xanthomonas oryzae</span> pv. <span class="html-italic">oryzae</span> strains (K1 and K3a race). Asterisks represent statistically significant differences relative to a susceptible rice cultivar (IR24) (paired, two-tailed Student’s <span class="html-italic">t</span> test, ** <span class="html-italic">p</span>-value &lt; 0.01).</p>
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<p>Total number of R-seq reads from each <span class="html-italic">Xanthomonas</span> <span class="html-italic">oryzae</span> pv. <span class="html-italic">oryzae</span> strain library and mapped reads to the <span class="html-italic">Xanthomonas</span> <span class="html-italic">oryzae</span> pv. <span class="html-italic">oryzae</span> KACC10331 genome.</p>
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<p>Functional categorization of the upregulated and downregulated genes in <span class="html-italic">Xanthomonas oryzae</span> pv. <span class="html-italic">oryzae</span> HB1009 (K3a race) based on the GO annotation.</p>
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<p>The expression patterns of <span class="html-italic">hrp</span> genes of the <span class="html-italic">Xanthomonas</span> <span class="html-italic">oryzae</span> pv. <span class="html-italic">oryzae</span> KACC10331 (K1 race) and HB1009 (K3a race) strains. The gene expression levels (arbitrary units) of <span class="html-italic">hpaB</span> (<b>A</b>); <span class="html-italic">hrpD5</span> (<b>B</b>); <span class="html-italic">hpaA</span> (<b>C</b>); <span class="html-italic">hrcS</span> (<b>D</b>); <span class="html-italic">hrcR</span> (<b>E</b>); <span class="html-italic">hrcQ</span> (<b>F</b>); <span class="html-italic">hpaP</span> (<b>G</b>); <span class="html-italic">hrpB2</span> (<b>H</b>); <span class="html-italic">hrpB8</span> (<b>I</b>); and <span class="html-italic">hpa2</span> (<b>J</b>) were normalized using 16S RNA as an internal reference. Gene expression levels were quantified by real-time RT-PCR.</p>
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<p>The expression patterns of TCS and <span class="html-italic">rax</span> genes of the <span class="html-italic">Xanthomonas oryzae</span> pv. <span class="html-italic">oryzae</span> KACC10331 (K1 race) and HB1009 (K3a race) strains. The gene expression levels (arbitrary units) of <span class="html-italic">regR</span> (<b>A</b>); XOO0519 (<b>B</b>); XOO3710 (<b>C</b>); <span class="html-italic">colS</span> (<b>D</b>); XOO3875 (<b>E</b>); <span class="html-italic">raxP</span> (<b>F</b>); <span class="html-italic">raxR</span> (<b>G</b>); <span class="html-italic">raxB</span> (<b>H</b>); <span class="html-italic">raxA</span> (<b>I</b>); and <span class="html-italic">raxST</span> (<b>J</b>) were normalized using 16S RNA as an internal reference. Gene expression levels were quantified by real-time RT-PCR.</p>
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Article
In Silico Screening Identifies a Novel Potential PARP1 Inhibitor Targeting Synthetic Lethality in Cancer Treatment
by Jian Li, Nan Zhou, Peiling Cai and Jinku Bao
Int. J. Mol. Sci. 2016, 17(2), 258; https://doi.org/10.3390/ijms17020258 - 19 Feb 2016
Cited by 25 | Viewed by 6986
Abstract
Synthetic lethality describes situations in which defects in two different genes or pathways together result in cell death. This concept has been applied to drug development for cancer treatment, as represented by Poly (ADP-ribose) polymerase (PARPs) inhibitors. In the current study, we performed [...] Read more.
Synthetic lethality describes situations in which defects in two different genes or pathways together result in cell death. This concept has been applied to drug development for cancer treatment, as represented by Poly (ADP-ribose) polymerase (PARPs) inhibitors. In the current study, we performed a computational screening to discover new PARP inhibitors. Among the 11,247 compounds analyzed, one natural product, ZINC67913374, stood out by its superior performance in the simulation analyses. Compared with the FDA approved PARP1 inhibitor, olaparib, our results demonstrated that the ZINC67913374 compound achieved a better grid score (−86.8) and amber score (−51.42). Molecular dynamics simulations suggested that the PARP1-ZINC67913374 complex was more stable than olaparib. The binding free energy for ZINC67913374 was −177.28 kJ/mol while that of olaparib was −159.16 kJ/mol. These results indicated ZINC67913374 bound to PARP1 with a higher affinity, which suggest ZINC67913374 has promising potential for cancer drug development. Full article
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<p>ROC evaluation of grid and amber scoring functions. Corresponding AUC values for each ROC curve are labeled above the line. Color code: Red—amber scoring function; Blue—grid scoring function; Gray—random.</p>
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<p>Binding modes of inhibitors towards PARP1 at the binding site. (<b>a</b>) Binding mode of olaparib; (<b>b</b>) binding mode of ZINC67913374. The surface of PARP1 is presented as gray with 70% transparency. Inhibitors are shown as yellow stick. Corresponding residues of PRAP1 forming hydrogen bonds with ligands are displayed as tan stick. Color code for elements: tan—C of PARP1; yellow—C of inhibitor; blue—N; red—O; green—H.</p>
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<p>Backbone RMSD of PARP1<sup>®</sup>C inhibitor complexes. Black line denotes RMSD of the olaparib system while red line represents the PARP1-ZINC67913374 complex.</p>
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<p>Superimposed 2D interaction diagrams of olaparib (background) and ZINC67913374 (foreground) with PARP1. Ball and stick denotes ligands. Corresponding PARP1 residues are shown as wires.</p>
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<p>RMSF plots of backbone atoms for PARP1<sup>®</sup>Cinhibitor systems. Black line is for olaparib and red line is the PARP1-ZINC67913374 system.</p>
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<p>Binding free energy decomposition on a per-residue basis for olaparib- and ZINC67913374-PARP1 complexes.</p>
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Article
Deletion of Phytochelatin Synthase Modulates the Metal Accumulation Pattern of Cadmium Exposed C. elegans
by Yona J. Essig, Samuel M. Webb and Stephen R. Stürzenbaum
Int. J. Mol. Sci. 2016, 17(2), 257; https://doi.org/10.3390/ijms17020257 - 19 Feb 2016
Cited by 15 | Viewed by 5361
Abstract
Environmental metal pollution is a growing health risk to flora and fauna. It is therefore important to fully elucidate metal detoxification pathways. Phytochelatin synthase (PCS), an enzyme involved in the biosynthesis of phytochelatins (PCs), plays an important role in cadmium detoxification. The PCS [...] Read more.
Environmental metal pollution is a growing health risk to flora and fauna. It is therefore important to fully elucidate metal detoxification pathways. Phytochelatin synthase (PCS), an enzyme involved in the biosynthesis of phytochelatins (PCs), plays an important role in cadmium detoxification. The PCS and PCs are however not restricted to plants, but are also present in some lower metazoans. The model nematode Caenorhabditis elegans, for example, contains a fully functional phytochelatin synthase and phytochelatin pathway. By means of a transgenic nematode strain expressing a pcs-1 promoter-tagged GFP (pcs-1::GFP) and a pcs-1 specific qPCR assay, further evidence is presented that the expression of the C. elegans phytochelatin synthase gene (pcs-1) is transcriptionally non-responsive to a chronic (48 h) insult of high levels of zinc (500 μM) or acute (3 h) exposures to high levels of cadmium (300 μM). However, the accumulation of cadmium, but not zinc, is dependent on the pcs-1 status of the nematode. Synchrotron based X-ray fluorescence imaging uncovered that the cadmium body burden increased significantly in the pcs-1(tm1748) knockout allele. Taken together, this suggests that whilst the transcription of pcs-1 may not be mediated by an exposure zinc or cadmium, it is nevertheless an integral part of the cadmium detoxification pathway in C. elegans. Full article
(This article belongs to the Special Issue Metal Metabolism in Animals)
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<p>The transcriptional activity of the <span class="html-italic">pcs-1</span> promoter. The expression pattern of the <span class="html-italic">pcs-1</span> promoter was visualized in <span class="html-italic">Ppcs-1</span>::GFP transgenic nematodes (synchronized at L4 stage) by means of confocal microscopy (Leica DMIRE2) (<b>A</b>); fluorescence in the head and tail region was quantified using ImageJ (<b>B</b>); Note, the fluorescence intensity, though universally higher in the pharyngeal intestinal valve compared to the intensity in the rectal valve, were statistically indistinguishable in nematodes raised under control conditions or nematodes exposed to 500 μM zinc for 48 h or 300 μM cadmium for 3 h. The error bars represent the standard error of the mean (±SEM, biological repeats <span class="html-italic">n</span> = 9). A quantitative RT-PCR confirmed the transcriptional invariance of <span class="html-italic">pcs-1</span> in wild-type nematodes challenged with metals (<b>C</b>). The error bars denote ±SEM (technical repeats <span class="html-italic">n</span> = 3, biological repeats <span class="html-italic">n</span> = 3). Statistical analyses were performed using a one way ANOVA). Note, P<span class="html-italic">pcs-1</span>::GFP fluorescence signal intensity or <span class="html-italic">pcs-1</span> transcription did not differ (<span class="html-italic">p</span> &gt; 0.05) in control and metal exposed nematodes.</p>
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<p>Accumulation of metals in the nematode body. X-ray fluorescence imaging (XFI) was utilized to assess the distribution and accumulation of zinc and cadmium in the body of <span class="html-italic">C. elegans</span> raised either on control plates or transferred to plates supplemented with 500 μM zinc for 48 h or 300 μM cadmium for 3 h (<b>A</b>); Note, base-line levels of zinc (but not cadmium) were observed in nematodes raised on control plates. All quantitative analyses of metal load within the body of nematodes were performed using the MicroAnalysis Toolkit (<b>A</b>,<b>B</b>). A highly significant difference (<span class="html-italic">p</span> = 0.002) was apparent in nematodes exposed to zinc (500 μM zinc for 48 h), however no significant difference was observed between the strains (wild-type and the <span class="html-italic">pcs-1</span>(tm1748) mutant). Likewise, exposure to cadmium resulted in a highly significant (<span class="html-italic">p</span> = 0.002) increase in metal load in wild-type and <span class="html-italic">pcs-1</span>(tm1748). However, strain specific differences were also observed, where the <span class="html-italic">pcs-</span><span class="html-italic">1</span>(tm1748) accumulated significantly (<span class="html-italic">p</span> = 0.002) more cadmium than the respective wild-type (<b>B</b>). Note: whilst zinc could be measured in nematodes raised on control plates, the cadmium signal was below the detection limit. Statistical analyses were performed using a factorial ANOVA. Note, the pixel densities differ because Cd and Zn quantifications were performed at different beamlines (Cd: 14-3; Zn 2-3), different incident energies (Cd: 3.575 keV; Zn 10 keV), and different spot sizes (Cd: 5 × 5 μM; Zn 2 × 2 μM). ** denotes <span class="html-italic">p</span> ≤ 0.01.</p>
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Review
Recent Advances in Disease Modeling and Drug Discovery for Diabetes Mellitus Using Induced Pluripotent Stem Cells
by Mohammed Kawser Hossain, Ahmed Abdal Dayem, Jihae Han, Subbroto Kumar Saha, Gwang-Mo Yang, Hye Yeon Choi and Ssang-Goo Cho
Int. J. Mol. Sci. 2016, 17(2), 256; https://doi.org/10.3390/ijms17020256 - 19 Feb 2016
Cited by 27 | Viewed by 9911
Abstract
Diabetes mellitus (DM) is a widespread metabolic disease with a progressive incidence of morbidity and mortality worldwide. Despite extensive research, treatment options for diabetic patients remains limited. Although significant challenges remain, induced pluripotent stem cells (iPSCs) have the capacity to differentiate into any [...] Read more.
Diabetes mellitus (DM) is a widespread metabolic disease with a progressive incidence of morbidity and mortality worldwide. Despite extensive research, treatment options for diabetic patients remains limited. Although significant challenges remain, induced pluripotent stem cells (iPSCs) have the capacity to differentiate into any cell type, including insulin-secreting pancreatic β cells, highlighting its potential as a treatment option for DM. Several iPSC lines have recently been derived from both diabetic and healthy donors. Using different reprogramming techniques, iPSCs were differentiated into insulin-secreting pancreatic βcells. Furthermore, diabetes patient-derived iPSCs (DiPSCs) are increasingly being used as a platform to perform cell-based drug screening in order to develop DiPSC-based cell therapies against DM. Toxicity and teratogenicity assays based on iPSC-derived cells can also provide additional information on safety before advancing drugs to clinical trials. In this review, we summarize recent advances in the development of techniques for differentiation of iPSCs or DiPSCs into insulin-secreting pancreatic β cells, their applications in drug screening, and their role in complementing and replacing animal testing in clinical use. Advances in iPSC technologies will provide new knowledge needed to develop patient-specific iPSC-based diabetic therapies. Full article
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<p>Schematic presentation of generation of iPSCs (induced pluripotent stem cells) from healthy and diabetic patients and their application in the patient-specific iPSC-based diabetic therapy. Footprint-free iPSCs can be generated from healthy individual- or diabetic patient-derived somatic cells using reprogramming DNA-, RNA-, protein-, miRNA-, or small molecule-mediated reprogramming system. DiPSCs (iPSCs derived from diabetic patients) can be further differentiated into insulin-secreting pancreatic β cells for cell-based diabetic drug screening or for transplantation into diabetic patients for cell therapy. DiPSCs can also be repaired by gene correction and then be differentiated into functional insulin-secreting pancreatic β cells, which can be transplanted into a specific diabetic patient. For disease modeling, DiPSCs can be differentiated into insulin-secreting pancreatic β cells for drug screening or pathogenesis studies to develop the compounds or therapies to treat specific type of diabetes.</p>
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<p>Schematic diagram depicting the various pancreatic β cell differentiation protocols for healthy iPSCs (<b>A</b>) and/or DiPSCs (<b>B</b>). The iPSCs and DiPSC can be differentiated into insulin-secreting functional β cells through the stages, embryoid body (EB), definitive endoderm (DE), pancreatic gut tube (PGT), pancreatic progenitor (PP), posterior fore gut (PFG), multi-lineage progenitor (MP), spontaneous differentiation (SD), progenitor expansion (PE), pancreatic differentiation (PD), NKX6-1<sup>+</sup>/C-peptide<sup>+</sup> EN cells, stem cell-derived β (SC-β) cells, and/or pancreatic β-cells using specific transcription factors and small molecules. The following transcription factors, small molecules, and specific differentiation markers were used for the pancreatic β cell differentiation; EGF (epidermal growth factor), bFGF (basic fibroblast growth factor), NA butyrate (sodium butyrate), CHIR99021 (aGSK3β inhibitor), KGF (keratinocyte growth factor), RA (retinoic acid), SANT1 (a sonic hedgehog pathway antagonist), CMRL-supplement, PdBu (phorbol 12,13-dibutyrate; a PKC activator), LDN (LDN193189; a BMP pathway inhibitor), T3 (triiodothyronine; a thyroid hormone), Alk5i (ALK5 receptor inhibitor), FGF10 (fibroblast growth factor 10), CYC (cyclopamine; a Hh signaling pathway inhibitor), ILV (indolactam V; a PKC activator), SST (somatostatin; somatotropin (growth hormone) release–inhibiting hormone), GCG (glucagon), INS (insulin), HGF (hepatocyte growth factor), DAPT (a γ-secretase (NOTCH signaling pathway) inhibitor), GLP-1 (glucagon-like peptide 1), LP1 (synaptic membrane fractions), Nico (nicotinamide), FOXA2 (forkhead box protein A2), PAX4 (paired homeobox transcription factor 4), PAX 6 (paired homeobox transcription factor 6), NGN3 (neurogenin 3), HNF (hepatocyte nuclear factor), PDX1 (pancreatic and duodenal homeobox 1); NKX6.1 (NK6 homeobox transcription factor related, locus 1), SOX17 (SRY-box 17), and NKX2.2 (NK2 homeobox transcription factor related, locus 2).</p>
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Article
Prenylated Flavonoids from Cudrania tricuspidata Suppress Lipopolysaccharide-Induced Neuroinflammatory Activities in BV2 Microglial Cells
by Dong-Cheol Kim, Chi-Su Yoon, Tran Hong Quang, Wonmin Ko, Jong-Su Kim, Hyuncheol Oh and Youn-Chul Kim
Int. J. Mol. Sci. 2016, 17(2), 255; https://doi.org/10.3390/ijms17020255 - 19 Feb 2016
Cited by 28 | Viewed by 6394
Abstract
In Korea and China, Cudrania tricuspidata Bureau (Moraceae) is an important traditional medicinal plant used to treat lumbago, hemoptysis, and contusions. The C. tricuspidata methanol extract suppressed both production of NO and PGE2 in BV2 microglial cells. Cudraflavanone D (1), isolated from [...] Read more.
In Korea and China, Cudrania tricuspidata Bureau (Moraceae) is an important traditional medicinal plant used to treat lumbago, hemoptysis, and contusions. The C. tricuspidata methanol extract suppressed both production of NO and PGE2 in BV2 microglial cells. Cudraflavanone D (1), isolated from this extract, remarkably suppressed the protein expression of inducible NO synthase and cyclooxygenase-2, and decreased the levels of NO and PGE2 in BV2 microglial cells exposed to lipopolysaccharide. Cudraflavanone D (1) also decreased IL-6, TNF-α, IL-12, and IL-1β production, blocked nuclear translocation of NF-κB heterodimers (p50 and p65) by interrupting the degradation and phosphorylation of inhibitor of IκB-α, and inhibited NF-κB binding. In addition, cudraflavanone D (1) suppressed the phosphorylation of c-Jun N-terminal kinase (JNK) and p38 MAPK pathways. This study indicated that cudraflavanone D (1) can be a potential drug candidate for the cure of neuroinflammation. Full article
(This article belongs to the Special Issue Plant-Derived Pharmaceuticals by Molecular Farming 2016)
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<p>The structures of compounds <b>1</b>–<b>7</b>.</p>
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<p>The effects of compounds <b>1</b>–<b>7</b> on nitrite production in BV2 microglial cells stimulated with LPS. The cells were pre-treated for 3 h with the indicated concentrations of compounds <b>1</b>–<b>7</b> and then stimulated for 24 h with LPS (1 μg/mL). The concentrations of nitrite were determined as described in the Materials and Methods section. The data represent the mean values ± SD of three experiments. * <span class="html-italic">p</span> &lt; 0.05, as compared with cells treated with LPS only.</p>
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<p>The effects of cudraflavanone D (<b>1</b>) on TNF-α (<b>A</b>), IL-1β (<b>B</b>), IL-12 (<b>C</b>), and IL-6 (<b>D</b>) mRNA expression in BV2 microglial cells stimulated with LPS. Cells were pre-treated for 3 h with the indicated concentrations of cudraflavanone D (<b>1</b>) and then stimulated for 12 h with LPS (1 μg/mL). The concentrations of TNF-α (<b>A</b>), IL-1β (<b>B</b>), IL-12 (<b>C</b>), and IL-6 (<b>D</b>) were determined as described in Materials and Methods. RNA quantification was performed as described in Materials and Methods and representative blots of three independent experiments are shown. The data represent the mean values of three experiments ± SD. * <span class="html-italic">p</span> &lt; 0.05, as compared with the cells treated with LPS only.</p>
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<p>The effects of cudraflavanone D (<b>1</b>) on TNF-α (<b>A</b>), IL-1β (<b>B</b>), IL-12 (<b>C</b>), and IL-6 (<b>D</b>) mRNA expression in BV2 microglial cells stimulated with LPS. Cells were pre-treated for 3 h with the indicated concentrations of cudraflavanone D (<b>1</b>) and then stimulated for 12 h with LPS (1 μg/mL). The concentrations of TNF-α (<b>A</b>), IL-1β (<b>B</b>), IL-12 (<b>C</b>), and IL-6 (<b>D</b>) were determined as described in Materials and Methods. RNA quantification was performed as described in Materials and Methods and representative blots of three independent experiments are shown. The data represent the mean values of three experiments ± SD. * <span class="html-italic">p</span> &lt; 0.05, as compared with the cells treated with LPS only.</p>
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<p>(<b>A</b>) The effects of cudraflavanone D (<b>1</b>) on protein expression of iNOS and COX-2 (<b>B</b>) in BV2 microglial cells stimulated with LPS. Cells were pre-treated for 3 h with the indicated concentrations of cudraflavanone D (<b>1</b>) and then stimulated for 24 h with LPS (1 μg/mL). The concentrations of iNOS and COX-2 (<b>B</b>) were determined as described in Materials and Methods. Western blot analyses were performed as described in Materials and Methods and representative blots of three independent experiments are shown. Band intensity was quantified by densitometry and normalized to β-actin; the values are presented below each band. Relative data represent the mean values of three experiments ± SD. * <span class="html-italic">p</span> &lt; 0.05, as compared to the cells treated with LPS only.</p>
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<p>The effects of cudraflavanone D (<b>1</b>) on IκB-α phosphorylation and degradation (<b>A</b>), NF-κB activation (<b>B</b>,<b>C</b>), NF-κB localization (<b>D</b>), and NF-κB DNA binding activity (<b>E</b>) in BV2 microglial cells. Cells were pre-treated for 3 h with the indicated concentrations of cudraflavanone D (<b>1</b>), and then stimulated for 1 h with LPS (1 μg/mL). Western blot analyses of IκB-α and phosphorylated (p)-IκB-α in the cytoplasm (<b>A</b>), and NF-κB in the cytoplasm (<b>B</b>) and nucleus (<b>C</b>), and immunofluorescent analysis (<b>E</b>), were performed as described in Materials and Methods. Band intensity was quantified by densitometry and normalized to β-actin and PCNA, and the values are presented below each band. Relative data represent the mean values of three experiments ± SD. * <span class="html-italic">p</span> &lt; 0.05, as compared to the cells treated with LPS only.</p>
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<p>The effects of cudraflavanone D (<b>1</b>) on ERK, JNK, and p38 MAPK protein expression and phosphorylation. Cells were pre-treated for 3 h with the indicated concentrations of cudraflavanone D (<b>1</b>) and stimulated for 1 h with LPS (1 μg/mL) (<b>A</b>–<b>C</b>). The levels of (<b>A</b>) phosphorylated-ERK (p-ERK), (<b>B</b>) phosphorylated-JNK (p-JNK), and (<b>C</b>) phosphorylated-p38 MAPK (p-p38 MAPK) were determined by Western blotting. Representative blots from three independent experiments are shown. Band intensity was quantified by densitometry and normalized to β-actin; the values are presented below each band. Relative data represent the mean values of three experiments.</p>
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2952 KiB  
Article
Effect of the Solvent Temperatures on Dynamics of Serine Protease Proteinase K
by Peng Sang, Qiong Yang, Xing Du, Nan Yang, Li-Quan Yang, Xing-Lai Ji, Yun-Xin Fu, Zhao-Hui Meng and Shu-Qun Liu
Int. J. Mol. Sci. 2016, 17(2), 254; https://doi.org/10.3390/ijms17020254 - 19 Feb 2016
Cited by 21 | Viewed by 6022
Abstract
To obtain detailed information about the effect of the solvent temperatures on protein dynamics, multiple long molecular dynamics (MD) simulations of serine protease proteinase K with the solute and solvent coupled to different temperatures (either 300 or 180 K) have been performed. Comparative [...] Read more.
To obtain detailed information about the effect of the solvent temperatures on protein dynamics, multiple long molecular dynamics (MD) simulations of serine protease proteinase K with the solute and solvent coupled to different temperatures (either 300 or 180 K) have been performed. Comparative analyses demonstrate that the internal flexibility and mobility of proteinase K are strongly dependent on the solvent temperatures but weakly on the protein temperatures. The constructed free energy landscapes (FELs) at the high solvent temperatures exhibit a more rugged surface, broader spanning range, and higher minimum free energy level than do those at the low solvent temperatures. Comparison between the dynamic hydrogen bond (HB) numbers reveals that the high solvent temperatures intensify the competitive HB interactions between water molecules and protein surface atoms, and this in turn exacerbates the competitive HB interactions between protein internal atoms, thus enhancing the conformational flexibility and facilitating the collective motions of the protein. A refined FEL model was proposed to explain the role of the solvent mobility in facilitating the cascade amplification of microscopic motions of atoms and atomic groups into the global collective motions of the protein. Full article
(This article belongs to the Section Physical Chemistry, Theoretical and Computational Chemistry)
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<p>Flexibility profiles of proteinase K calculated from the joined trajectories at the four combined temperatures. (<b>A</b>) Per-residue C<sub>α</sub> RMSF profiles as a function of residue number. SSEs were marked along the horizontal axis with spirals and arrows representing α (or 3/10) helices and β strands, respectively; (<b>B</b>) C<sub>α</sub> RMSF values as a function of distance from the protein core to the protein surface. In both (<b>A</b>) and (<b>B</b>), the black, red, green, and blue lines are profiles corresponding to the combined temperatures P180/S180, P180/S300, P300/S180, and P300/S300, respectively.</p>
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<p>Eigenvalues as a function of eigenvector index derived from ED analyses of the joined trajectories at the four combined temperatures. Only eigenvalues of the first 30 eigenvectors (total is 837) are shown. Black line: P180/S180; red line: P180/S300; green line: P300/S180; blue line: P300/S300.</p>
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<p>Projection extremes of the first eigenvector obtained from ED analyses of the joined trajectories at the four combined temperatures: (<b>A</b>) P180/S180; (<b>B</b>) P300/S180; (<b>C</b>) P180/S300; and (<b>D</b>) P300/S300. The linear interpolations between the two extremes are colored from blue to red to highlight conformational differences between these two states but do not represent the transition pathway.</p>
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<p>Eigenvector projections and their properties obtained from combined ED analysis of the merged MD trajectories of P300/S180 and P180/S300. (<b>A</b>) Projections of the merged trajectory (P300/S180: 0–84 ns; P180/S300: 84–168 ns) onto the combined eigenvectors 1–4 and 30; (<b>B</b>) Distributions of the corresponding eigenvector projections; (<b>C</b>) Average values of the first 30 eigenvector projections as a function of eigenvector index; (<b>D</b>) Mean square displacement (MSD) values of the first 30 eigenvector projections as a function of eigenvector index. The projection properties (average and MSD values) were calculated separately from the two equal halves of a combined eigenvector projection that correspond to the P300/S180 and P180/S300 parts, respectively.</p>
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<p>Projections of the joined MD trajectories onto the two-dimensional conformational subspace spanned by the first two eigenvectors: (<b>A</b>) P180/S180; (<b>B</b>) P300/S180; (<b>C</b>) P180/S300; and (<b>D</b>) P300/S300.</p>
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<p>Constructed FELs of the proteinase K-solvent system at the four combined temperatures. (<b>A</b>–<b>D</b>) FELs as a function of two-dimensional conformational subspace at the combined temperatures: (<b>A</b>) P180/S180; (<b>B</b>) P300/S180; (<b>C</b>) P180/S300; and (<b>D</b>) P300/S300. The color bar represents the free energy value in unit of kJ/mol; (<b>E</b>,<b>F</b>) One-dimensional FELs along the projection of the eigenvectors (<b>E</b>) 1 and (<b>F</b>) 2. Black line: P180/S180; red line: P180/S300; green line: P300/S180; blue line: P300/S300.</p>
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<p>A proposed FEL model to explain the effect of the solvent mobility on protein dynamics. This model is represented as a hierarchical organization of free energy wells (<span class="html-italic">i.e.</span>, the smallest tier-2 wells are within the relatively large tier-1 wells, and the tier-1 wells are within the largest tier-0 wells), which dictates the hierarchical dynamics of the protein (<span class="html-italic">i.e.</span>, different structural components feature different amplitude and timescale of the fluctuations). The tier-2 and tier-1 substates and tier-0 states (<b>A</b> and <b>B</b>) are located within respective free energy wells. The tier-2, tier-1, and tier-0 dynamics, which are defined as conformational interconversion between respective substates/states, involve the side chain rotations on ps timescale, loop motions on ns timescale, and collective motions of the entire structure on timescale of μs to ms, respectively. The tire-0 dynamics are a result of the accumulation of the tier-1 and tier-2 dynamics. By exacerbating the competitive interactions between the protein and solvent and between atoms within the protein, the solvent mobility plays its role in facilitating the cascade amplification of microscopic motions of atoms and atomic groups into the global collective motions of the protein (for details, see the text).</p>
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Article
Assessment of Radiation Induced Therapeutic Effect and Cytotoxicity in Cancer Patients Based on Transcriptomic Profiling
by Sajjad Karim, Zeenat Mirza, Adeel G. Chaudhary, Adel M. Abuzenadah, Mamdooh Gari and Mohammed H. Al-Qahtani
Int. J. Mol. Sci. 2016, 17(2), 250; https://doi.org/10.3390/ijms17020250 - 19 Feb 2016
Cited by 15 | Viewed by 7227
Abstract
Toxicity induced by radiation therapy is a curse for cancer patients undergoing treatment. It is imperative to understand and define an ideal condition where the positive effects notably outweigh the negative. We used a microarray meta-analysis approach to measure global gene-expression before and [...] Read more.
Toxicity induced by radiation therapy is a curse for cancer patients undergoing treatment. It is imperative to understand and define an ideal condition where the positive effects notably outweigh the negative. We used a microarray meta-analysis approach to measure global gene-expression before and after radiation exposure. Bioinformatic tools were used for pathways, network, gene ontology and toxicity related studies. We found 429 differentially expressed genes at fold change >2 and p-value <0.05. The most significantly upregulated genes were synuclein alpha (SNCA), carbonic anhydrase I (CA1), X-linked Kx blood group (XK), glycophorin A and B (GYPA and GYPB), and hemogen (HEMGN), while downregulated ones were membrane-spanning 4-domains, subfamily A member 1 (MS4A1), immunoglobulin heavy constant mu (IGHM), chemokine (C-C motif) receptor 7 (CCR7), BTB and CNC homology 1 transcription factor 2 (BACH2), and B-cell CLL/lymphoma 11B (BCL11B). Pathway analysis revealed calcium-induced T lymphocyte apoptosis and the role of nuclear factor of activated T-cells (NFAT) in regulation of the immune response as the most inhibited pathways, while apoptosis signaling was significantly activated. Most of the normal biofunctions were significantly decreased while cell death and survival process were activated. Gene ontology enrichment analysis revealed the immune system process as the most overrepresented group under the biological process category. Toxicity function analysis identified liver, kidney and heart to be the most affected organs during and after radiation therapy. The identified biomarkers and alterations in molecular pathways induced by radiation therapy should be further investigated to reduce the cytotoxicity and development of fatigue. Full article
(This article belongs to the Collection Radiation Toxicity in Cells)
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<p>Agglomerative average-linkage hierarchical clustering for differentially expressed genes between radiation treatment stage and controls. Dendrogram obtained using Partek GS 6.6 software shows the change in expression levels of genes (<span class="html-italic">n</span> = 429, 32-up and 397-downregulated) in RT treated cancer patients compared to untreated controls, Differentially Expressed Genes (DEGs) on <span class="html-italic">X</span> axis and treatment stage on <span class="html-italic">Y</span> axis. The cluster color represents the normalized expression level of a given gene in response to radiation treatment, Purple denotes upregulation and green denotes downregulation according the color scale.</p>
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<p>Inhibition of Calcium-induced T Lymphocyte Apoptosis pathway. Based on overlap of identified DEGs to Calcium-induced T Lymphocyte Apoptosis pathways, IPA had predicted its inhibition. <span class="html-italic">CD3</span>, <span class="html-italic">CAMK4</span>, <span class="html-italic">TRGV9</span>, <span class="html-italic">NFAT</span>, <span class="html-italic">ZAP70</span>, <span class="html-italic">LCK</span>, <span class="html-italic">PRKC</span>, <span class="html-italic">HLA-DOB</span>, <span class="html-italic">ITPR1</span> genes involved in this pathway were downregulated as shown by the purple circles. XXXX line indicate DNA strand. The white end arrow means “translocation” and the dark end arrow means “acts on”.</p>
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<p>Functional analysis and regulatory effect of differentially expressed genes. Using Ingenuity Pathways Analysis (IPA), Differentially Expressed Genes (DEGs) were overlaid on to the network to find a biological regulatory functional effect based on previously reported interactions in the literature. Function colored with blue denote inhibition and orange denotes activation; development of hematopoietic progenitor cells and development of lymphocytes were inhibited whereas cell death of immune cells as activated function.</p>
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<p>Gene Ontology of differentially expressed genes. Pie Chart obtained using Partek GS 6.6 software shows the change in the biological process of the immune system, biological adhesion, response to stimulus, multi-organism process, biological regulation and developmental process as a significantly affected process.</p>
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Review
Energy Metabolism Plays a Critical Role in Stem Cell Maintenance and Differentiation
by Chenxia Hu, Linxiao Fan, Panpan Cen, Ermei Chen, Zhengyi Jiang and Lanjuan Li
Int. J. Mol. Sci. 2016, 17(2), 253; https://doi.org/10.3390/ijms17020253 - 18 Feb 2016
Cited by 94 | Viewed by 10912
Abstract
Various stem cells gradually turned to be critical players in tissue engineering and regenerative medicine therapies. Current evidence has demonstrated that in addition to growth factors and the extracellular matrix, multiple metabolic pathways definitively provide important signals for stem cell self-renewal and differentiation. [...] Read more.
Various stem cells gradually turned to be critical players in tissue engineering and regenerative medicine therapies. Current evidence has demonstrated that in addition to growth factors and the extracellular matrix, multiple metabolic pathways definitively provide important signals for stem cell self-renewal and differentiation. In this review, we mainly focus on a detailed overview of stem cell metabolism in vitro. In stem cell metabolic biology, the dynamic balance of each type of stem cell can vary according to the properties of each cell type, and they share some common points. Clearly defining the metabolic flux alterations in stem cells may help to shed light on stemness features and differentiation pathways that control the fate of stem cells. Full article
(This article belongs to the Special Issue Stem Cell Activation in Adult Organism)
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<p>Metabolic pathways may provide important signals to direct the self-renewal and differentiation potency of stem cells.</p>
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<p>Successful reprogramming is always accompanied by a metabolic shift from a pro-oxidative state to glycolysis, and it will conversely shift after differentiation.</p>
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Article
Metabolic Activity of Radish Sprouts Derived Isothiocyanates in Drosophila melanogaster
by Nieves Baenas, Stefanie Piegholdt, Anke Schloesser, Diego A. Moreno, Cristina García-Viguera, Gerald Rimbach and Anika E. Wagner
Int. J. Mol. Sci. 2016, 17(2), 251; https://doi.org/10.3390/ijms17020251 - 18 Feb 2016
Cited by 48 | Viewed by 9330
Abstract
We used Drosophila melanogaster as a model system to study the absorption, metabolism and potential health benefits of plant bioactives derived from radish sprouts (Raphanus sativus cv. Rambo), a Brassicaceae species rich in glucosinolates and other phytochemicals. Flies were subjected to a [...] Read more.
We used Drosophila melanogaster as a model system to study the absorption, metabolism and potential health benefits of plant bioactives derived from radish sprouts (Raphanus sativus cv. Rambo), a Brassicaceae species rich in glucosinolates and other phytochemicals. Flies were subjected to a diet supplemented with lyophilized radish sprouts (10.6 g/L) for 10 days, containing high amounts of glucoraphenin and glucoraphasatin, which can be hydrolyzed by myrosinase to the isothiocyanates sulforaphene and raphasatin, respectively. We demonstrate that Drosophila melanogaster takes up and metabolizes isothiocyanates from radish sprouts through the detection of the metabolite sulforaphane-cysteine in fly homogenates. Moreover, we report a decrease in the glucose content of flies, an upregulation of spargel expression, the Drosophila homolog of the mammalian PPARγ-coactivator 1 α, as well as the inhibition of α-amylase and α-glucosidase in vitro. Overall, we show that the consumption of radish sprouts affects energy metabolism in Drosophila melanogaster which is reflected by lower glucose levels and an increased expression of spargel, a central player in mitochondrial biogenesis. These processes are often affected in chronic diseases associated with aging, including type II diabetes mellitus. Full article
(This article belongs to the Section Biochemistry)
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<p>Glucosinolates in radish sprouts and their corresponding hydrolysis to isothiocyanates.</p>
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<p>Effect of 10-day radish sprout supplementation on male <span class="html-italic">Drosophila melanogaster</span>. (<b>a</b>) relative food intake analyzed by the gustatory assay (<span class="html-italic">n</span> = 3 + SEM; extraction from 3 × 15 flies); (<b>b</b>) relative fitness score detected by the RING assay (<span class="html-italic">n</span> = 3 + SEM).</p>
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<p>(<b>a</b>) Metabolites present in <span class="html-italic">Drosophila melanogaster</span> following the consumption of radish sprouts for 10 days; (<b>b</b>) Representative chromatogram of metabolites found in <span class="html-italic">Drosophila melanogaster</span> following the consumption of radish sprouts for 10 days. F.W. = fresh weight, SFE = sulforaphene, SFN = sulforaphane, I3C = indole-3-carbinole, SFN–CYS = sulforaphane–cysteine; <span class="html-italic">n</span> = 3 + SD.</p>
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<p>Effect of 10-day radish sprout supplementation on male <span class="html-italic">Drosophila melanogaster</span>. (<b>a</b>) relative glucose levels (<span class="html-italic">n</span> = 9 + SEM; extraction from 9 × 5 flies); (<b>b</b>) relative mRNA levels of <span class="html-italic">spargel</span> related to the housekeeping gene <span class="html-italic">RpL32</span> (<span class="html-italic">n</span> = 3 + SEM; extraction from 3 × 5 flies). * indicates significant differences between control and radish sprout-fed flies (<span class="html-italic">p</span> &lt; 0.05, Student’s <span class="html-italic">t</span>-test).</p>
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Article
Antinociceptive and Anti-Inflammatory Effects of Zerumbone against Mono-Iodoacetate-Induced Arthritis
by Ting-Yi Chien, Steven Kuan-Hua Huang, Chia-Jung Lee, Po-Wei Tsai and Ching-Chiung Wang
Int. J. Mol. Sci. 2016, 17(2), 249; https://doi.org/10.3390/ijms17020249 - 18 Feb 2016
Cited by 40 | Viewed by 7242
Abstract
The fresh rhizome of Zingiber zerumbet Smith (Zingiberaceae) is used as a food flavoring and also serves as a folk medicine as an antipyretic and for analgesics in Taiwan. Zerumbone, a monocyclic sesquiterpene was isolated from the rhizome of Z. zerumbet and is [...] Read more.
The fresh rhizome of Zingiber zerumbet Smith (Zingiberaceae) is used as a food flavoring and also serves as a folk medicine as an antipyretic and for analgesics in Taiwan. Zerumbone, a monocyclic sesquiterpene was isolated from the rhizome of Z. zerumbet and is the major active compound. In this study, the anti-inflammatory and antinociceptive effects of zerumbone on arthritis were explored using in vitro and in vivo models. Results showed that zerumbone inhibited inducible nitric oxide (NO) synthase (iNOS), cyclooxygenase (COX)-2 expressions, and NO and prostaglandin E2 (PGE2) production, but induced heme oxygenase (HO)-1 expression in a dose-dependent manner in lipopolysaccharide (LPS)-stimulated RAW 264.7 cells. When zerumbone was co-treated with an HO-1 inhibitor (tin protoporphyrin (SnPP)), the NO inhibitory effects of zerumbone were recovered. The above results suggest that zerumbone inhibited iNOS and COX-2 through induction of the HO-1 pathway. Moreover, matrix metalloproteinase (MMP)-13 and COX-2 expressions of interleukin (IL)-1β-stimulated primary rat chondrocytes were inhibited by zerumbone. In an in vivo assay, an acetic acid-induced writhing response in mice was significantly reduced by treatment with zerumbone. Furthermore, zerumbone reduced paw edema and the pain response in a mono-iodoacetate (MIA)-induced rat osteoarthritis model. Therefore, we suggest that zerumbone possesses anti-inflammatory and antinociceptive effects which indicate zerumbone could be a potential candidate for osteoarthritis treatment. Full article
(This article belongs to the Special Issue Phenolics and Polyphenolics 2015)
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<p>Anti-inflammatory action of zerumbone on lipopolysaccharide (LPS)-stimulated RAW 264.7 cells after treatment for 6 h. (<b>A</b>) Inducible nitric oxide (NO) synthase (iNOS), cyclooxygenase (COX)-2, and heme oxygenase (HO)-1 protein expressions; (<b>B</b>) Quantitational and statistical analysis of protein expressions, * <span class="html-italic">p</span> &lt; 0.05 compared to control; (<b>C</b>) prostaglandin E<sub>2</sub> (PGE<sub>2</sub>) production level, * <span class="html-italic">p</span> &lt; 0.05, the zerumbone group compared to the control group; (<b>D</b>) NO production inhibition of zerumbone co-treated with tin protoporphyrin (SnPP), * <span class="html-italic">p</span> &lt; 0.05, the zerumbone group compared to the group co-treated with SnPP. C: control, cells were pretreated with vehicle and LPS (500 ng/mL) B: blank, the cells incubated with vehicle alone. Data are summarized and expressed as Mean ± SEM of three individual experiments (<span class="html-italic">n</span> = 3).</p>
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<p>(<b>A</b>) Effects of zerumbone inhibiting matrix metalloproteinase (MMP)-13 expressions on interleukin (IL)-β-induced chondrocytes; (<b>B</b>) Quantitational and statistical analysis of protein expressions, * <span class="html-italic">p</span> &lt; 0.05 compared to control; Data were used from three separate experiments; a picture of one is shown. C: control, cells were pretreated with vehicle and IL-1β (10 ng/mL) B: blank.</p>
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<p>Abdominal writhing response of acetic-acid induces in mice. There were six mice per group. Results are expressed as Mean ± SEM. The positive control (PC) was morphine (5 mg/kg). * <span class="html-italic">p</span> &lt; 0.05, compared to the control group.</p>
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<p>Change in the swelling volume due to paw edema after a mono-iodoacetate (MIA) injection in the ankle of a rat on days 1 to 4. The positive control (PC) was indomethacin (10 mg/kg). *** <span class="html-italic">p</span> &lt; 0.0005 compared to the control.</p>
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<p>Distribution ratio of right and left hind-limb weight-bearing with mono-iodoacetate (MIA)-induced rat osteoarthritis on day 6. The positive control (PC) was indomethacin (10 mg/kg). * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.0005 compared to the control group.</p>
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<p>Chemical structure of zerumbone isolated from the fresh rhizome of <span class="html-italic">Zingiber zerumbet</span>.</p>
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<p>The experimental schedule of MIA-induced osteoarthritis model.</p>
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Article
Hinokitiol Inhibits Melanogenesis via AKT/mTOR Signaling in B16F10 Mouse Melanoma Cells
by Yu-Tzu Tsao, Yu-Fen Huang, Chun-Yu Kuo, Yu-Chiang Lin, Wei-Cheng Chiang, Wei-Kuang Wang, Chia-Wei Hsu and Che-Hsin Lee
Int. J. Mol. Sci. 2016, 17(2), 248; https://doi.org/10.3390/ijms17020248 - 18 Feb 2016
Cited by 28 | Viewed by 9544
Abstract
H inokitiol purified from the heartwood of cupressaceous plants has had various biological functions of cell differentiation and growth. Hinokitiol has been demonstrated as having an important role in anti-inflammation and anti-bacteria effect, suggesting that it is potentially useful in therapies for hyperpigmentation. [...] Read more.
H inokitiol purified from the heartwood of cupressaceous plants has had various biological functions of cell differentiation and growth. Hinokitiol has been demonstrated as having an important role in anti-inflammation and anti-bacteria effect, suggesting that it is potentially useful in therapies for hyperpigmentation. Previously, hinokitiol inhibited the production of melanin by inhibiting tyrosinase activity. The autophagic signaling pathway can induce hypopigmentation. This study is warranted to investigate the mechanism of hinokitiol-induced hypopigmentation through autophagy in B16F10 melanoma cells. The melanin contents and expression of microthphalmia associated transcription factor (MITF) and tyrosinase were inhibited by treatment with hinokitiol. Moreover, the phosphorylation of the protein express levels of phospho-protein kinase B (P-AKT) and phospho-mammalian targets of rapamycin (P-mTOR) were reduced after hinokitiol treatment. In addition, the microtubule associated protein 1 light chain 3 (LC3) -II and beclin 1 (autophagic markers) were increased after the B16F10 cell was treated with hinokitiol. Meanwhile, hinokitiol decreased cellular melanin contents in a dose-dependent manner. These findings establish that hinokitiol inhibited melanogenesis through the AKT/mTOR signaling pathway. Full article
(This article belongs to the Special Issue Biochemistry and Mechanisms of Melanogenesis)
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<p>Chemical structure of hinokitiol.</p>
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<p>Effects of hinokitiol on cell viability and melanin production in B16F10 cell. B16F10 cells were treated with indicated concentrations of hinokitiol for 48 h. (<b>a</b>) Cell viability was measured by WST-1 assay; (<b>b</b>) Effect of hinokitiol on cellular melanin content; (<b>c</b>) Photograph of precipitated B16F10 melanoma cells. Cells were incubated for 48 h with (1.25–125 nM) and without hinokitiol; (<b>d</b>) Tyrosinase activity was measured. * <span class="html-italic">p</span> &lt; 0.05 (mean ± SD, <span class="html-italic">n</span> = 6). Each experiment was repeated three times with similar results.</p>
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<p>The expression levels of tyrosinase and microphthalmia-associated transcription factor (MITF) after hinokitiol treatment. B16F10 cells were treated with hinokitiol at the concentration of 1.25, 12.5 or 125 nM for 48 h. The protein expression was determined by immunoblotting. Inserted values indicated relative proteins expression in comparison with β-actin. Each experiment was repeated three times with similar results. (mean ± SD, <span class="html-italic">n</span> = 3).</p>
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<p>Constitutively active-AKT reduced the expression of tyrosinase and MITF. The B16F10 (10<sup>5</sup>) cells were transfected with constitutively active AKT plasmid (5 μg) for 16 h prior to treated with hinokitiol (125 nM) for 48 h. The expression of P-AKT, AKT, m-TOR, P-mTOR, MITF tyrosinase and LC3 protein in B16F10 cells was determined. The inserted values indicate relative protein expression compared to β-actin. This experiment was repeated with similar results. (mean ± SD, <span class="html-italic">n</span> = 3).</p>
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<p>Hinokitiol reduces melanin content through AKT pathway. The B16F10 (10<sup>5</sup>) cells were transfected with constitutively active AKT plasmid (5 μg) for 16 h prior to treated with hinokitiol (125 nM) for 48 h. The melanin expression were measured. * <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001 (mean ± SD, <span class="html-italic">n</span> = 6). Each experiment was repeated three times with similar results.</p>
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Review
Systems Pharmacology in Small Molecular Drug Discovery
by Wei Zhou, Yonghua Wang, Aiping Lu and Ge Zhang
Int. J. Mol. Sci. 2016, 17(2), 246; https://doi.org/10.3390/ijms17020246 - 18 Feb 2016
Cited by 107 | Viewed by 15019
Abstract
Drug discovery is a risky, costly and time-consuming process depending on multidisciplinary methods to create safe and effective medicines. Although considerable progress has been made by high-throughput screening methods in drug design, the cost of developing contemporary approved drugs did not match that [...] Read more.
Drug discovery is a risky, costly and time-consuming process depending on multidisciplinary methods to create safe and effective medicines. Although considerable progress has been made by high-throughput screening methods in drug design, the cost of developing contemporary approved drugs did not match that in the past decade. The major reason is the late-stage clinical failures in Phases II and III because of the complicated interactions between drug-specific, human body and environmental aspects affecting the safety and efficacy of a drug. There is a growing hope that systems-level consideration may provide a new perspective to overcome such current difficulties of drug discovery and development. The systems pharmacology method emerged as a holistic approach and has attracted more and more attention recently. The applications of systems pharmacology not only provide the pharmacodynamic evaluation and target identification of drug molecules, but also give a systems-level of understanding the interaction mechanism between drugs and complex disease. Therefore, the present review is an attempt to introduce how holistic systems pharmacology that integrated in silico ADME/T (i.e., absorption, distribution, metabolism, excretion and toxicity), target fishing and network pharmacology facilitates the discovery of small molecular drugs at the system level. Full article
(This article belongs to the Section Biochemistry)
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<p>Flowchart for systems pharmacology-based drug discovery.</p>
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<p>Topological structure of static network.</p>
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<p>Modeling and simulation flow chart of dynamic network.</p>
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Review
The Potential of Plant Phenolics in Prevention and Therapy of Skin Disorders
by Magdalena Działo, Justyna Mierziak, Urszula Korzun, Marta Preisner, Jan Szopa and Anna Kulma
Int. J. Mol. Sci. 2016, 17(2), 160; https://doi.org/10.3390/ijms17020160 - 18 Feb 2016
Cited by 490 | Viewed by 27092
Abstract
Phenolic compounds constitute a group of secondary metabolites which have important functions in plants. Besides the beneficial effects on the plant host, phenolic metabolites (polyphenols) exhibit a series of biological properties that influence the human in a health-promoting manner. Evidence suggests that people [...] Read more.
Phenolic compounds constitute a group of secondary metabolites which have important functions in plants. Besides the beneficial effects on the plant host, phenolic metabolites (polyphenols) exhibit a series of biological properties that influence the human in a health-promoting manner. Evidence suggests that people can benefit from plant phenolics obtained either by the diet or through skin application, because they can alleviate symptoms and inhibit the development of various skin disorders. Due to their natural origin and low toxicity, phenolic compounds are a promising tool in eliminating the causes and effects of skin aging, skin diseases, and skin damage, including wounds and burns. Polyphenols also act protectively and help prevent or attenuate the progression of certain skin disorders, both embarrassing minor problems (e.g., wrinkles, acne) or serious, potentially life-threatening diseases such as cancer. This paper reviews the latest reports on the potential therapy of skin disorders through treatment with phenolic compounds, considering mostly a single specific compound or a combination of compounds in a plant extract. Full article
(This article belongs to the Special Issue Phenolics and Polyphenolics 2015)
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<p>The classification of phenolic compounds.</p>
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<p>The examples of molecular structures of the most common phenolic compounds.</p>
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<p>The scheme of factors involved in the formation of free radicals and a cellular response to reactive oxygen species (ROS). The red arrow and the text in red emphasize the importance of phenolic compounds, other antioxidants and the relationship between them. The sun signifies protection of other antioxidants by phenolic compounds.</p>
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<p>The scheme presents the cross-section of the skin structure and the specific influence phenolic compounds (delivered in the cosmetic formulation form) on dermal tissue components. Black arrows indicate the particular component of skin tissue, according to which are listed the main classes of phenolic, effective in prevention or treatment signs of skin-aging. The yellow arrow indicates the direction and the depth of the cosmetic formulation permeability through the skin. The various layers of the skin structure are indicated on the left. The scheme is based on data described in the review.</p>
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<p>The factors and phenolic compounds involved in the maintenance of the proper skin structure through the regulation of matrix metalloproteinases (MMPs). The white cross in the red circle and the red signs in the letter “T” shape indicate the inhibition of the MMPs activity.</p>
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<p>The involvement of the tyrosinase in the reaction of melanin synthesis and the inhibition of melanogenesis by the substrate analog inhibitor, <span class="html-italic">i.e.</span>, resveratrol. The black arrows indicate the direction of the reaction, the dash line indicates the involvement of the enzyme tyrosinase and the sign in the letter “T” shape indicates the inhibition of the tyrosinase by resveratrol.</p>
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<p>Anticancer properties of curcumin. The green fields indicate the properties of the curcumin, while violet fields indicate the particular examples of the of the curcumin action.</p>
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<p>The anticancer properties of phenolic compounds.</p>
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<p>Anti-allergic properties of phenolic compounds.</p>
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<p>The process of wound healing.</p>
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<p>The effect of phenolic compounds derived from the flax dressing on the wound healing. Left picture presents the wound before treatment and the right presents the wound after the 12 weeks of treatment (based on the unpublished data from research of Szopa <span class="html-italic">et al.</span>).</p>
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Article
Investigation of the Antiproliferative Properties of Natural Sesquiterpenes from Artemisia asiatica and Onopordum acanthium on HL-60 Cells in Vitro
by Judit Molnár, Gábor J. Szebeni, Boglárka Csupor-Löffler, Zsuzsanna Hajdú, Thomas Szekeres, Philipp Saiko, Imre Ocsovszki, László G. Puskás, Judit Hohmann and István Zupkó
Int. J. Mol. Sci. 2016, 17(2), 83; https://doi.org/10.3390/ijms17020083 - 17 Feb 2016
Cited by 18 | Viewed by 6504
Abstract
Plants and plant extracts play a crucial role in the research into novel antineoplastic agents. Four sesquiterpene lactones, artecanin (1), 3β-chloro-4α,10α-dihydroxy-1α,2α-epoxy-5α,7αH-guaia-11(13)-en-12,6α-olide (2), iso-seco-tanapartholide 3-O-methyl ether (3) and 4β,15-dihydro-3-dehydrozaluzanin C (4), were isolated from two [...] Read more.
Plants and plant extracts play a crucial role in the research into novel antineoplastic agents. Four sesquiterpene lactones, artecanin (1), 3β-chloro-4α,10α-dihydroxy-1α,2α-epoxy-5α,7αH-guaia-11(13)-en-12,6α-olide (2), iso-seco-tanapartholide 3-O-methyl ether (3) and 4β,15-dihydro-3-dehydrozaluzanin C (4), were isolated from two traditionally used Asteraceae species (Onopordum acanthium and Artemisia asiatica). When tested for antiproliferative action on HL-60 leukemia cells, these compounds exhibited reasonable IC50 values in the range 3.6–13.5 μM. Treatment with the tested compounds resulted in a cell cycle disturbance characterized by increases in the G1 and G2/M populations, while there was a decrease in the S phase. Additionally, 1–3 elicited increases in the hypodiploid (subG1) population. The compounds elicited concentration-dependent chromatin condensation and disruption of the membrane integrity, as revealed by Hoechst 33258–propidium staining. Treatment for 24 h resulted in significant increases in activity of caspases-3 and -9, indicating that the tested sesquiterpenes induced the mitochondrial pathway of apoptosis. The proapoptotic properties of the sesquiterpene lactones were additionally demonstrated withannexin V staining. Compounds 1 and 2 increased the Bax/Bcl-2 expression and decreased the expressions of CDK1 and cyclin B2, as determined at the mRNA level by means of RT-PCR. These experimental results indicate that sesquiterpene lactones may be regarded as potential starting structures for the development of novel anticancer agents. Full article
(This article belongs to the Special Issue Molecular Research in Plant Secondary Metabolism 2015)
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<p>Chemical structures of the investigated sesquiterpenes.</p>
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<p>Concentration–response curves of <b>1</b>–<b>4</b> after incubation for 24 ( <span class="html-fig-inline" id="ijms-17-00083-i001"> <img alt="Ijms 17 00083 i001" src="/ijms/ijms-17-00083/article_deploy/html/images/ijms-17-00083-i001.png"/></span>), 48 ( <span class="html-fig-inline" id="ijms-17-00083-i002"> <img alt="Ijms 17 00083 i002" src="/ijms/ijms-17-00083/article_deploy/html/images/ijms-17-00083-i002.png"/></span>) and 72 h (■) and their IC<sub>50</sub> values calculated from 72-h data. Data are means ± SEM from three experiments.</p>
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<p>Concentration–response curves of <b>1</b> and <b>2</b> after incubation for 72 h, and their calculated IC<sub>50</sub> values. <span class="html-fig-inline" id="ijms-17-00083-i002"> <img alt="Ijms 17 00083 i002" src="/ijms/ijms-17-00083/article_deploy/html/images/ijms-17-00083-i002.png"/></span> and ■ indicate fibroblast and HL-60 cells, respectively. Data are means ± SEM from three experiments.</p>
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<p>Cell-cycle distributions of HL-60 cells after treatment with <b>1</b>–<b>4</b> for 24 and 48 h. Open, gray and black columns indicate data from control cells and cells treated with 5 or 10 µM test substance, respectively. * and ** denote <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01, respectively, as compared with the control condition. Data are means ± SEM from three determinations.</p>
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<p>Representative cell-cycle histograms of control HL-60 cells after treatment with 5 or 10 µM <b>1</b>–<b>4</b> for 48 h.</p>
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<p>Hypodiploid (subG1) population of HL-60 cells after treatment with <b>1</b>–<b>4</b> for 48 h (<b>upper panel</b>). ** denotes <span class="html-italic">p</span> &lt; 0.01 as compared with the control condition. Data are means ± SEM from three determinations. Histograms representing the same conditions (<b>lower panel</b>).</p>
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<p>Fluorescence microscopic images of sesquiterpenes <b>1</b>–<b>4</b> after incubation for 24 and 48 h. Two separate pictures from the same field were taken for the two markers. The blue fluorescence (<b>left panels</b>) relates to Hoechst 33258, and the red coloration (<b>right panels</b>) reflects cellular PI accumulation. The bar in the PI control picture indicates 100 µm.</p>
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<p>Induction of caspase-3 and caspase-9 activities after incubation with compounds <b>1</b>–<b>4</b> for 24 h. White, gray and black columns denote the control, or 5 and 10 µM sesquiterpene, respectively. * and ** denote <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01, respectively, as compared with the control condition. The activities of caspase-3 and caspase-9 were determined with fluorimetric and colorimetric assay kits, respectively. Data are means ± SEM from three determinations.</p>
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<p>Proportion ofannexin V positivity after incubation with compounds <b>1</b>–<b>4</b> for 24 and 48 h (<b>upper panels</b>). * and ** denote <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01, respectively, as compared with the control condition. Baseline values have been subtracted from treated values. Data are means ± SEM from three determinations. Representative dot-plots from 48-h treatments (<b>lower panels</b>).</p>
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<p>Calculated ratios Bax/Bcl-2 at an mRNA level after incubation with compound <b>1</b> or <b>2</b> for 24 h. White, gray and black columns relate to the control, or 5 and 10 µM sesquiterpene, respectively. * denotes <span class="html-italic">p</span> &lt; 0.05, as compared with the control condition. Data are means ± SEM from three determinations.</p>
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<p>Expression of CDK1, cyclin B1 and cyclin B2 at the mRNA level after incubation with <b>1</b> or <b>2</b> for 24 h. White, gray and black columns relate to the control, or 5 and 10 µM sesquiterpene, respectively. * and ** denote <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01, respectively, as compared with the control condition. Data are means ± SEM from three determinations.</p>
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Editorial
Toward Precision Medicine: How Far Is the Goal?
by Gloria Ravegnini and Sabrina Angelini
Int. J. Mol. Sci. 2016, 17(2), 245; https://doi.org/10.3390/ijms17020245 - 17 Feb 2016
Cited by 5 | Viewed by 4664
Abstract
The accomplishment of the Human Genome Project, followed by the availability of high-throughput technologies, has led to an impressive change in biomedical research.[...] Full article
(This article belongs to the Special Issue Pharmacogenetics and Personalized Medicine)
1474 KiB  
Article
Therapeutic Effects of Erythroid Differentiation Regulator 1 on Imiquimod-Induced Psoriasis-Like Skin Inflammation
by Kyung Eun Kim, Younkyung Houh, Hyun Jeong Park and Daeho Cho
Int. J. Mol. Sci. 2016, 17(2), 244; https://doi.org/10.3390/ijms17020244 - 17 Feb 2016
Cited by 14 | Viewed by 7190
Abstract
Psoriasis is a common skin disease accompanied by chronic inflammation. In previous studies, erythroid differentiation regulator 1 (ERDR1) was shown to have a negative correlation with proinflammatory cytokine IL-18. However, the role of ERDR1 in the inflammatory skin disease psoriasis has not been [...] Read more.
Psoriasis is a common skin disease accompanied by chronic inflammation. In previous studies, erythroid differentiation regulator 1 (ERDR1) was shown to have a negative correlation with proinflammatory cytokine IL-18. However, the role of ERDR1 in the inflammatory skin disease psoriasis has not been evaluated. In this study, to investigate the role of ERDR1 in psoriasis, recombinant ERDR1 was injected intraperitoneally into a psoriasis mouse model. Recombinant ERDR1 (rERDR1) significantly alleviated the symptoms of psoriasis-like skin inflammation and reduced the mRNA of various psoriasis-related markers, including keratin 14, S100A8, and Th17-related cytokines IL-17 and IL-22, suggesting that rERDR1 exerts therapeutic effects on psoriasis via the regulation of Th17 functions. Additionally, the expression of CCL20, a well-known Th17 attracting chemokine, was determined. CCL20 expression significantly decreased in the rERDR1-injected group compared with the vehicle (PBS)-injected group. CCR6 expression in the psoriatic lesional skin was also decreased by rERDR1 administration, implying the inhibition of CCR6-expressing Th17 cell chemotaxis via the downregulation of CCL20. Taken together, this study provides the first evidence that ERDR1 may be a potential therapeutic target for psoriasis. Full article
(This article belongs to the Special Issue Inflammatory Skin Conditions)
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<p>Recombinant erythroid differentiation regulator 1 (ERDR1) exerts therapeutic effects on psoriasis-like skin inflammation. (<b>a</b>) Photos showing redness and scales of psoriatic lesional skin induced by topical application of Aldara cream (5% imiquimod) on the shaved back skin of female 6-week-old C57BL/6J mice treated by 10 or 100 μg/kg intraperitoneally injected recombinant ERDR1 (rERDR1) versus PBS vehicle control. Five mice were used for each group, experiments were repeated independently three times, and data shown represent one mouse from each group; (<b>b</b>) H&amp;E staining of the lesional skin shows decreased inflammatory infiltration, acanthosis, parakeratosis, and severe desquamation in rERDR1-injected mice compared to controls (×100 magnification); (<b>c</b>) Severities of redness, thickness, and scales of psoriasis-like skin lesions were evaluated from 0 to 4 (0, none; 1, mild; 2, moderate; 3, severe; and 4, very severe). Scoring was based on the severity of redness, thickness, and scales. Data are reported as mean ± standard deviation (SD). All values were analyzed using an unpaired Student’s <span class="html-italic">t</span>-test. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.0005; (<b>d</b>) The overall local clinical score was totaled from the sum of each category, including redness, thickness, and scales. Data are reported as mean ± SD. All values were analyzed using an unpaired Student’s <span class="html-italic">t</span>-test. ** <span class="html-italic">p</span> &lt; 0.01; (<b>e</b>) Back skin thickness of the rERDR1-injected group <span class="html-italic">vs.</span> vehicle (PBS)-injected group, as measured using a thickness gauge. Data are reported as mean ± SD. All values were analyzed using an unpaired Student’s <span class="html-italic">t</span>-test. * <span class="html-italic">p</span> &lt; 0.05. Data shown represent one of three independent experiments.</p>
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<p>Expression of various biomarkers for psoriasis is regulated by rERDR1 administration. (<b>a</b>) Expression of hyper-proliferating marker, keratin 6, keratin 14, keratin 16, and antimicrobial peptide, S100A8, was detected by RT-PCR. The <span class="html-italic">Krt1</span>, <span class="html-italic">Krt14</span>, <span class="html-italic">Krt16</span> and <span class="html-italic">S100a8</span> mRNAs increased by imiquimod treatment were significantly decreased by rERDR1 administration; (<b>b</b>) Transcription of effector cytokines IL-17 and IL-22 that are produced by Th17 cells and act in psoriasis pathogenesis, as well as the inflammatory cytokine TNF-α, were detected in psoriatic lesional skin tissues. rERDR1 reduced mRNA expression of <span class="html-italic">IL-17</span>, <span class="html-italic">IL-22</span>, and <span class="html-italic">TNF-α</span>; (<b>c</b>) <span class="html-italic">Erdr1</span> mRNA expression was detected in psoriatic lesional skin tissues. <span class="html-italic">Erdr1</span> mRNA was significantly decreased following imiquimod treatment, and levels increased following rERDR1 administration. Data shown represent one of three independent experiments.</p>
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<p>Recombinant ERDR1 inhibits CCL20 expression, resulting in decreased CCR6+ cells in psoriatic lesional skin. (<b>a</b>) Expression of CCL20, a chemokine for the trafficking of Th17 cells, was detected using RT-PCR. The increased <span class="html-italic">CCL20</span> mRNA expression by imiquimod treatment was markedly reduced by rERDR1 administration; (<b>b</b>) To detect CCR6 expression in the skin tissues, immunohistochemistry was performed with a polyclonal rat anti-mouse CCR6 antibody. Staining results were visualized under a microscope (original magnification; ×100). Data shows one of three independent experiments.</p>
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Article
Integrative Transcriptome, Genome and Quantitative Trait Loci Resources Identify Single Nucleotide Polymorphisms in Candidate Genes for Growth Traits in Turbot
by Diego Robledo, Carlos Fernández, Miguel Hermida, Andrés Sciara, José Antonio Álvarez-Dios, Santiago Cabaleiro, Rubén Caamaño, Paulino Martínez and Carmen Bouza
Int. J. Mol. Sci. 2016, 17(2), 243; https://doi.org/10.3390/ijms17020243 - 17 Feb 2016
Cited by 27 | Viewed by 7209
Abstract
Growth traits represent a main goal in aquaculture breeding programs and may be related to adaptive variation in wild fisheries. Integrating quantitative trait loci (QTL) mapping and next generation sequencing can greatly help to identify variation in candidate genes, which can result in [...] Read more.
Growth traits represent a main goal in aquaculture breeding programs and may be related to adaptive variation in wild fisheries. Integrating quantitative trait loci (QTL) mapping and next generation sequencing can greatly help to identify variation in candidate genes, which can result in marker-assisted selection and better genetic structure information. Turbot is a commercially important flatfish in Europe and China, with available genomic information on QTLs and genome mapping. Muscle and liver RNA-seq from 18 individuals was carried out to obtain gene sequences and markers functionally related to growth, resulting in a total of 20,447 genes and 85,344 single nucleotide polymorphisms (SNPs). Many growth-related genes and SNPs were identified and placed in the turbot genome and genetic map to explore their co-localization with growth-QTL markers. Forty-five SNPs on growth-related genes were selected based on QTL co-localization and relevant function for growth traits. Forty-three SNPs were technically feasible and validated in a wild Atlantic population, where 91% were polymorphic. The integration of functional and structural genomic resources in turbot provides a practical approach for QTL mining in this species. Validated SNPs represent a useful set of growth-related gene markers for future association, functional and population studies in this flatfish species. Full article
(This article belongs to the Special Issue Fish Molecular Biology)
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<p>Single nucleotide polymorphisms (SNPs) detected in muscle and liver turbot RNA-seq. SNPs found by RNA-seq and aligned with turbot genomic sequences are separated according to their type.</p>
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<p>Predictive genome position of growth-related genes in the turbot genetic map. Estimated gene map positions are shown in red, underlining the 45 selected genes for SNP detection. (*) Map positions inferred by comparative mapping against model fish [<a href="#B26-ijms-17-00243" class="html-bibr">26</a>]. Reported growth-related markers [<a href="#B29-ijms-17-00243" class="html-bibr">29</a>,<a href="#B30-ijms-17-00243" class="html-bibr">30</a>,<a href="#B32-ijms-17-00243" class="html-bibr">32</a>] are shown in blue, either associated with growth traits (qBW, body weight; qL, length; qK, Fulton factor) or located within the confidence interval (CI) of growth QTLs. (†) Outlier markers proposed to be under selection in turbot [<a href="#B32-ijms-17-00243" class="html-bibr">32</a>].</p>
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Article
Delivery of Flavonoids and Saponins from Black Bean (Phaseolus vulgaris) Seed Coats Incorporated into Whole Wheat Bread
by Rocio A. Chávez-Santoscoy, Marco A. Lazo-Vélez, Sergio O. Serna-Sáldivar and Janet A. Gutiérrez-Uribe
Int. J. Mol. Sci. 2016, 17(2), 222; https://doi.org/10.3390/ijms17020222 - 17 Feb 2016
Cited by 23 | Viewed by 8206
Abstract
Cereal-based products can be used as vehicles for the delivery of relevant bioactive compounds since they are staple foods for most cultures throughout the world. The health promoting benefits of flavonoids and saponins contained in black bean seed coats have been previously described. [...] Read more.
Cereal-based products can be used as vehicles for the delivery of relevant bioactive compounds since they are staple foods for most cultures throughout the world. The health promoting benefits of flavonoids and saponins contained in black bean seed coats have been previously described. In the present work, the effect of adding flavonoids and saponins from black bean seed coat to the typical yeast-leavened whole wheat bread formulation in terms of bread features, organoleptic properties and phytochemical profile was studied. The retention of bioactive compounds was determined and the inhibitory effects of in vitro enzyme digested samples on two colon cancer cell lines (Caco-2 and HT29) was evaluated. The addition of bioactive compounds did not significantly affect baking properties or texture parameters. Among organoleptic properties of enriched breads, only crumb color was affected by the addition of bioactive compounds. However, the use of whole wheat flour partially masked the effect on color. More than 90% of added flavonoids and saponins and 80% of anthocyanins were retained in bread after baking. However, saponins were reduced more than 50% after the in vitro enzyme digestion. The black bean seed coat phytochemicals recovered after in vitro enzyme digestion of enriched breads significantly reduced by 20% the viability of colon cancer cells without affecting standard fibroblast cells (p < 0.05). Full article
(This article belongs to the Special Issue Advances in Molecular Research of Functional and Nutraceutical Food)
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<p>Appearance of (<b>a</b>) control whole wheat bread (CN); and (<b>b</b>) bread supplemented with 0.5% of black bean extract (BBE).</p>
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<p>Growth inhibitory potency of whole wheat bread enriched with black bean seed coat extract (BBE) in comparison to whole wheat bread (CN) in cancer colon cell lines (HT-29, Caco-2) and standard fibroblast (NIH 3T3) used as control cell line. * Significant differences among treatments in each cell line after mean comparison with a Student’s <span class="html-italic">t</span>-test (<span class="html-italic">p</span> &gt; 0.05). Treatments were carried out with the obtained supernatant of <span class="html-italic">in vitro</span> gastric digestion of 100 mg of bread (CN or BBE) diluted 1:10.</p>
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Article
Deep Sequencing and Screening of Differentially Expressed MicroRNAs Related to Milk Fat Metabolism in Bovine Primary Mammary Epithelial Cells
by Binglei Shen, Liying Zhang, Chuanjiang Lian, Chunyan Lu, Yonghong Zhang, Qiqi Pan, Runjun Yang and Zhihui Zhao
Int. J. Mol. Sci. 2016, 17(2), 200; https://doi.org/10.3390/ijms17020200 - 17 Feb 2016
Cited by 36 | Viewed by 6884
Abstract
Milk fat is a key factor affecting milk quality and is also a major trait targeted in dairy cow breeding. To determine how the synthesis and the metabolism of lipids in bovine milk is regulated at the miRNA level, primary mammary epithelial cells [...] Read more.
Milk fat is a key factor affecting milk quality and is also a major trait targeted in dairy cow breeding. To determine how the synthesis and the metabolism of lipids in bovine milk is regulated at the miRNA level, primary mammary epithelial cells (pMEC) derived from two Chinese Holstein dairy cows that produced extreme differences in milk fat percentage were cultured by the method of tissue nubbles culture. Small RNA libraries were constructed from each of the two pMEC groups, and Solexa sequencing and bioinformatics analysis were then used to determine the abundance of miRNAs and their differential expression pattern between pMECs. Target genes and functional prediction of differentially expressed miRNAs by Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes analysis illustrated their roles in milk fat metabolism. Results show that a total of 292 known miRNAs and 116 novel miRNAs were detected in both pMECs. Identification of known and novel miRNA candidates demonstrated the feasibility and sensitivity of sequencing at the cellular level. Additionally, 97 miRNAs were significantly differentially expressed between the pMECs. Finally, three miRNAs including bta-miR-33a, bta-miR-152 and bta-miR-224 whose predicted target genes were annotated to the pathway of lipid metabolism were screened and verified by real-time qPCR and Western-blotting experiments. This study is the first comparative profiling of the miRNA transcriptome in pMECs that produce different milk fat content. Full article
(This article belongs to the Special Issue MicroRNA Regulation)
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<p>Sequencing reads distribution of known miRNAs in pMECs and mammary gland tissues. The distribution sequencing reads in the bovine lactating mammary gland was reported by Zhen <span class="html-italic">et al.</span> [<a href="#B15-ijms-17-00200" class="html-bibr">15</a>].</p>
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<p>Validation of known miRNAs using stem-loop qPCR. (<b>a</b>) 13 known miRNAs were detected by stem-loop qPCR, using three replicates. The relative expression was calculated using the 2<sup>−ΔΔ<span class="html-italic">C</span>t</sup> method after the threshold cycle (<span class="html-italic">C</span><sub>t</sub>) and was normalized using the <span class="html-italic">C</span><sub>t</sub> of U6. The relative expression levels were presented as the 2<sup>−ΔΔ<span class="html-italic">C</span>t</sup> means ± standard error. The error bars indicate the standard error of the 2<sup>−ΔΔ<span class="html-italic">C</span>t</sup> mean values. *: 0.01 &lt; <span class="html-italic">p</span> &lt; 0.05, **: <span class="html-italic">p</span> &lt; 0.01; (<b>b</b>) Comparison of expression patterns for known miRNAs (identified by Solexa sequencing) between pMECs and mammary gland (MG) tissues. <span class="html-italic">X</span>-axis: the miRNA types; <span class="html-italic">Y</span>-axis: expression differences of miRNAs in high and low fat samples. Because the methods used to calculate differential expression by stem-loop qPCR differs from that used by Solexa sequencing, significance analysis was not performed, and the figure only shows the general trend of miRNA expression.</p>
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<p>Validation of known miRNAs using stem-loop qPCR. (<b>a</b>) 13 known miRNAs were detected by stem-loop qPCR, using three replicates. The relative expression was calculated using the 2<sup>−ΔΔ<span class="html-italic">C</span>t</sup> method after the threshold cycle (<span class="html-italic">C</span><sub>t</sub>) and was normalized using the <span class="html-italic">C</span><sub>t</sub> of U6. The relative expression levels were presented as the 2<sup>−ΔΔ<span class="html-italic">C</span>t</sup> means ± standard error. The error bars indicate the standard error of the 2<sup>−ΔΔ<span class="html-italic">C</span>t</sup> mean values. *: 0.01 &lt; <span class="html-italic">p</span> &lt; 0.05, **: <span class="html-italic">p</span> &lt; 0.01; (<b>b</b>) Comparison of expression patterns for known miRNAs (identified by Solexa sequencing) between pMECs and mammary gland (MG) tissues. <span class="html-italic">X</span>-axis: the miRNA types; <span class="html-italic">Y</span>-axis: expression differences of miRNAs in high and low fat samples. Because the methods used to calculate differential expression by stem-loop qPCR differs from that used by Solexa sequencing, significance analysis was not performed, and the figure only shows the general trend of miRNA expression.</p>
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<p>The number of miRNA predicted target genes mapped by pathway. Blue column: the significantly enriched pathway of target genes. Pink column: the annotated pathway related to the lipid metabolism.</p>
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<p>Six miRNAs and their target genes that are involved in milk fat metabolism in bovine mammary gland. The oval color represents the pathway that the target genes involved. Blue oval: Unsaturated fatty acid synthesis. Green oval: fatty acid biosynthesis. Red oval: fatty acid metabolism. Black oval: the targets involved in more than one metabolic pathway. The colored boxes represent the expression trend. Black rectangle: down-regulated miRNAs in pMEC-LL. Blue rectangle: up-regulated miRNAs in pMEC-LL.</p>
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<p>Relative expression analysis of miRNAs and their predicted target genes. (<b>a</b>) Bta-miR-33a was down-regulated, which was opposite to the expression level of <span class="html-italic">ELOVL5</span>, <span class="html-italic">ELOVL6</span> and <span class="html-italic">SC4MOL</span> in MG-LL; (<b>b</b>) Bta-miR-152 was down-regulated in MG-LL and the significantly up-regulated genes were <span class="html-italic">PTGS2</span>, <span class="html-italic">PRKAA1</span> and <span class="html-italic">UCP3</span>; (<b>c</b>) Bta-miR-224 was up-regulated in MG-LL and the corresponding down-regulated genes were <span class="html-italic">ALOX15</span>, <span class="html-italic">PTGS1</span>, <span class="html-italic">LPL</span> and <span class="html-italic">GST</span>; (<b>d</b>) Western-blotting results of five target genes. All of the results are expressed as the mean ± S.D. of three replicates. * <span class="html-italic">p</span> &lt; 0.05; GAPDH is internal control.</p>
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Brief Report
Atypical Antipsychotics in the Treatment of Acute Bipolar Depression with Mixed Features: A Systematic Review and Exploratory Meta-Analysis of Placebo-Controlled Clinical Trials
by Michele Fornaro, Brendon Stubbs, Domenico De Berardis, Giampaolo Perna, Alessandro Valchera, Nicola Veronese, Marco Solmi and Licínia Ganança
Int. J. Mol. Sci. 2016, 17(2), 241; https://doi.org/10.3390/ijms17020241 - 16 Feb 2016
Cited by 42 | Viewed by 9875
Abstract
Evidence supporting the use of second generation antipsychotics (SGAs) in the treatment of acute depression with mixed features (MFs) associated with bipolar disorder (BD) is scarce and equivocal. Therefore, we conducted a systematic review and preliminary meta-analysis investigating SGAs in the treatment of [...] Read more.
Evidence supporting the use of second generation antipsychotics (SGAs) in the treatment of acute depression with mixed features (MFs) associated with bipolar disorder (BD) is scarce and equivocal. Therefore, we conducted a systematic review and preliminary meta-analysis investigating SGAs in the treatment of acute BD depression with MFs. Two authors independently searched major electronic databases from 1990 until September 2015 for randomized (placebo-) controlled trials (RCTs) or open-label clinical trials investigating the efficacy of SGAs in the treatment of acute bipolar depression with MFs. A random-effect meta-analysis calculating the standardized mean difference (SMD) between SGA and placebo for the mean baseline to endpoint change in depression as well as manic symptoms score was computed based on 95% confidence intervals (CI). Six RCTs and one open-label placebo-controlled studies (including post-hoc reports) representing 1023 patients were included. Participants received either ziprasidone, olanzapine, lurasidone, quetiapine or asenapine for an average of 6.5 weeks across the included studies. Meta-analysis with Duval and Tweedie adjustment for publication bias demonstrated that SGA resulted in significant improvements of (hypo-)manic symptoms of bipolar mixed depression as assessed by the means of the total scores of the Young Mania Rating Scale (YMRS) (SMD −0.74, 95% CI −1.20 to −0.28, n SGA = 907, control = 652). Meta-analysis demonstrated that participants in receipt of SGA (n = 979) experienced a large improvement in the Montgomery–Åsberg Depression Rating Scale (MADRS) scores (SMD −1.08, 95% CI −1.35 to −0.81, p < 0.001) vs. placebo (n = 678). Publication and measurement biases and relative paucity of studies. Overall, SGAs appear to offer favorable improvements in MADRS and YMRS scores vs. placebo. Nevertheless, given the preliminary nature of the present report, additional original studies are required to allow more reliable and clinically definitive conclusions. Full article
(This article belongs to the Special Issue Antipsychotics)
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<p>Flowchart of the study.</p>
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<p>Forest plot of the Young Mania Rating Scale (YMRS) across the included studies. CI = confidence intervals. Referenced studies: McIntyre R.S. <span class="html-italic">et al</span>., 2015 [<a href="#B29-ijms-17-00241" class="html-bibr">29</a>]; Patkar A. <span class="html-italic">et al.</span>, 2012 [<a href="#B33-ijms-17-00241" class="html-bibr">33</a>] &amp; Pae C.U. <span class="html-italic">et al.</span>, 2012 [<a href="#B34-ijms-17-00241" class="html-bibr">34</a>].</p>
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<p>Forest plot of the Montgomery–Åsberg Depression Rating Scale (MADRS) across the included studies. Referenced studies: Tohen M. <span class="html-italic">et al.</span>, 2014 [<a href="#B14-ijms-17-00241" class="html-bibr">14</a>]; Patkar A. <span class="html-italic">et al.</span>, 2012 [<a href="#B33-ijms-17-00241" class="html-bibr">33</a>] &amp; Pae C.U. <span class="html-italic">et al.</span>, 2012 [<a href="#B34-ijms-17-00241" class="html-bibr">34</a>]; Berk M. <span class="html-italic">et al.</span>, 2015 [<a href="#B31-ijms-17-00241" class="html-bibr">31</a>]; McIntyre R.S. <span class="html-italic">et al</span>., 2015 [<a href="#B29-ijms-17-00241" class="html-bibr">29</a>].</p>
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Article
Role of miR-222-3p in c-Src-Mediated Regulation of Osteoclastogenesis
by Shinya Takigawa, Andy Chen, Qiaoqiao Wan, Sungsoo Na, Akihiro Sudo, Hiroki Yokota and Kazunori Hamamura
Int. J. Mol. Sci. 2016, 17(2), 240; https://doi.org/10.3390/ijms17020240 - 16 Feb 2016
Cited by 25 | Viewed by 6566
Abstract
MicroRNAs (miRNAs) are small non-coding RNAs that play a mostly post-transcriptional regulatory role in gene expression. Using RAW264.7 pre-osteoclast cells and genome-wide expression analysis, we identified a set of miRNAs that are involved in osteoclastogenesis. Based on in silico analysis, we specifically focused [...] Read more.
MicroRNAs (miRNAs) are small non-coding RNAs that play a mostly post-transcriptional regulatory role in gene expression. Using RAW264.7 pre-osteoclast cells and genome-wide expression analysis, we identified a set of miRNAs that are involved in osteoclastogenesis. Based on in silico analysis, we specifically focused on miR-222-3p and evaluated its role in osteoclastogenesis. The results show that the inhibitor of miR-222-3p upregulated the mRNA levels of nuclear factor of activated T-cells, cytoplasmic 1 (NFATc1) and tartrate-resistant acid phosphatase (TRAP), while its mimicking agent downregulated their mRNA levels. Western blot analysis showed that its inhibitor increased the protein levels of TRAP and cathepsin K, while its mimicking agent decreased their levels. Genome-wide mRNA expression analysis in the presence and absence of receptor activator of nuclear factor κ-B ligand (RANKL) predicted c-Src as a potential regulatory target of miR-222-3p. Live cell imaging using a fluorescence resonance energy transfer (FRET) technique revealed that miR-222-3p acted as an inhibitor of c-Src activity, and a partial silencing of c-Src suppressed RANKL-induced expression of TRAP and cathepsin K, as well as the number of multi-nucleated osteoclasts and their pit formation. Collectively, the study herein demonstrates that miR-222-3p serves as an inhibitor of osteoclastogenesis and c-Src mediates its inhibition of cathepsin K and TRAP. Full article
(This article belongs to the Special Issue MicroRNA Regulation)
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<p>Microarray-based miRNA expression analysis. Cells were stimulated with 20 ng/mL RANKL for two days. (<b>A</b>) Heat map of the selected miRNAs (signal values &lt; 500 and <span class="html-italic">p</span> &lt; 0.05) in response to receptor activator of nuclear factor κ-B ligand (RANKL). The green and red colors indicate downregulation and upregulation, respectively. Of note, C1, C2, and C3 are control samples, and R1, R2, and R3 are RANKL-treated samples; (<b>B</b>) Principal component analysis (PCA) for six samples (C1–C3, and R1–R3) in the first and second principal plane; and (<b>C</b>) PCA for miRNAs in the first and second principal plane. Two miRNAs (221-3p and 222-3) are positioned with the smallest values along the second principal axis.</p>
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<p>PCR-based mRNA and miRNA expression levels on Days 2 and 4 after RANKL addition (<span class="html-italic">n</span> = 5). CN = control sample; and RANKL = RANKL-treated sample (20 ng/mL): The single and double asterisks indicate <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01, respectively. (<b>A</b>) nuclear factor of activated T-cells, cytoplasmic 1 (NFATc1) mRNA level; (<b>B</b>) tartrate-resistant acid phosphatase (TRAP) mRNA level; (<b>C</b>) miR-125b-5b level; (<b>D</b>) miR-146a-5p level; (<b>E</b>) miR-182-5p level; (<b>F</b>) miR-27b-3p level; (<b>G</b>) miR-221-3p level; and (<b>H</b>) miR-222-3p level.</p>
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<p>PCR-based mRNA and miRNA expression levels on Days 2 and 4 after RANKL addition (<span class="html-italic">n</span> = 5). CN = control sample; and RANKL = RANKL-treated sample (20 ng/mL): The single and double asterisks indicate <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01, respectively. (<b>A</b>) nuclear factor of activated T-cells, cytoplasmic 1 (NFATc1) mRNA level; (<b>B</b>) tartrate-resistant acid phosphatase (TRAP) mRNA level; (<b>C</b>) miR-125b-5b level; (<b>D</b>) miR-146a-5p level; (<b>E</b>) miR-182-5p level; (<b>F</b>) miR-27b-3p level; (<b>G</b>) miR-221-3p level; and (<b>H</b>) miR-222-3p level.</p>
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<p>Effects of miR221-3p inhibitor and mimicking agent. Of note, 50 ng/mL RANKL was used for one day in (<b>C</b>,<b>D</b>). The sample number was three in (<b>A</b>,<b>B</b>), four in (<b>C</b>), and six in (<b>D</b>). NC = non-specific control. The single and double asterisks indicate <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01, respectively. (<b>A</b>) miR-221-3p level in response to its inhibitor; (<b>B</b>) miR-221-3p level in response to its mimicking agent; (<b>C</b>) NFATc1, TRAP, and cathepsin K mRNA levels in response to miR-221-3p inhibitor; and (<b>D</b>) NFATc1, TRAP, and cathepsin K mRNA levels in response to miR-221-3p mimic.</p>
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<p>Effects of miR222-3p inhibitor and mimicking agent. Of note, 50 ng/mL RANKL was used for one day in (<b>C</b>,<b>D</b>). The sample number was three in (<b>A</b>,<b>B</b>), and four in (<b>C</b>,<b>D</b>). NC = non-specific control. The single and double asterisks indicate <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01, respectively. (<b>A</b>) miR-222-3p level in response to its inhibitor; (<b>B</b>) miR-222-3p level in response to its mimicking agent; (<b>C</b>) NFATc1, TRAP, and cathepsin K mRNA levels in response to miR-222-3p inhibitor; and (<b>D</b>) NFATc1, TRAP, and cathepsin K mRNA levels in response to miR-222-3p mimic.</p>
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<p>Western blot analysis of NFATc1, TRAP, and cathepsin K in response to the inhibitor or mimic specific to miR-222-3p. Of note, 50 ng/mL RANKL was used for three days in all cases. The sample number was three in (<b>C</b>,<b>D</b>). NC = non-specific control; inh = inhibitor; and mim = mimicking agent. The single asterisk indicates <span class="html-italic">p</span> &lt; 0.05. (<b>A</b>) Expression of NFATc1, TRAP, and cathepsin K in response to the inhibitor of miR-222-3p; (<b>B</b>) Expression of NFATc1, TRAP, and cathepsin K in response to the mimic of miR-222-3p; and (<b>C</b>,<b>D</b>) Quantified expression levels of TRAP and cathepsin K, respectively, in response to the inhibitor and mimic of miR-222-3p.</p>
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<p>RANKL responsive genes and their potential link to miRNAs. (<b>A</b>) Heat map of RANKL-responsive genes that are related to osteoclasts. The blue and red colors indicate downregulation and upregulation, respectively. Note that CN1, CN2, and CN3 are control samples, and RN1, RN2, and RN3 are RANKL-treated samples; and (<b>B</b>) Predicted link between RANKL-responsive genes and miRNAs. The grey code indicates a confidence measure of <span class="html-italic">in silico</span> prediction. The arrows indicates they were chosen for further study.</p>
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<p>Responses of c-Src and Dcstamp to the inhibitor of miR-222-3p. Of note, 50 ng/mL RANKL was used for one day. The sample number was four in (<b>A</b>), and the scale bar is 10 µm in (<b>B</b>). NC = non-specific control; and inh = inhibitor of miR-222-3p. The single and double asterisks indicate <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01, respectively. (<b>A</b>) c-Src and Dcstamp mRNA levels in response to the inhibitor of miR-222-3p; and (<b>B</b>) c-Src activity levels in response to the inhibitor of miR-222-3p.</p>
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<p>Effects of c-Src siRNA. Of note, 50 ng/mL RANKL was used for two days in (<b>B</b>–<b>E</b>). The sample number was three in all cases. NC = non-specific control siRNA. The single and double asterisks indicate <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01, respectively. (<b>A</b>) c-Src mRNA levels in response to c-Src siRNA; (<b>B</b>) Western blot analysis of c-Src, NFATc1, TRAP, and cathepsin K in response to c-Src siRNA; (<b>C</b>) Quantified protein levels of c-Src in response to c-Src siRNA; (<b>D</b>) Quantified protein levels of NFATc1, TRAP and cathepsin K in response to c-Src siRNA; and (<b>E</b>) Levels of miR-221-3p and miR-222-3p in response to c-Src siRNA.</p>
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<p>TRAP staining and osteoclast activity in the presence of c-Src siRNA. NC = non-specific control siRNA. The double asterisk indicates <span class="html-italic">p</span> &lt; 0.01. (<b>A</b>,<b>B</b>) Number of multi-nucleated cells and TRAP staining in the presence and absence of 50 ng/mL RANKL for four days; and (<b>C</b>,<b>D</b>) Number of pits and their images in the presence and absence of 50 ng/mL RANKL for five days.</p>
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<p>Schematic illustration of the proposed role of miR-222-3p in RANKL-stimulated osteoclastogenesis. Of note, cat K = cathepsin K.</p>
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Article
Food-Derived Bioactives Can Protect the Anti-Inflammatory Activity of Cortisol with Antioxidant-Dependent and -Independent Mechanisms
by Erik J. B. Ruijters, Guido R. M. M. Haenen, Mathijs Willemsen, Antje R. Weseler and Aalt Bast
Int. J. Mol. Sci. 2016, 17(2), 239; https://doi.org/10.3390/ijms17020239 - 15 Feb 2016
Cited by 12 | Viewed by 6524
Abstract
In chronic inflammatory diseases the anti-inflammatory effect of glucocorticoids (GCs) is often decreased, leading to GC resistance. Inflammation is related with increased levels of reactive oxygen species (ROS), leading to oxidative stress which is thought to contribute to the development of GC resistance. [...] Read more.
In chronic inflammatory diseases the anti-inflammatory effect of glucocorticoids (GCs) is often decreased, leading to GC resistance. Inflammation is related with increased levels of reactive oxygen species (ROS), leading to oxidative stress which is thought to contribute to the development of GC resistance. Plant-derived compounds such as flavonoids are known for their ability to protect against ROS. In this exploratory study we screened a broad range of food-derived bioactives for their antioxidant and anti-inflammatory effects in order to investigate whether their antioxidant effects are associated with the ability to preserve the anti-inflammatory effects of cortisol. The anti-inflammatory potency of the tested compounds was assessed by measuring the oxidative stress–induced GC resistance in human macrophage-like cells. Cells were pre-treated with H2O2 (800 µM) with and without bioactives and then exposed to lipopolysaccharides (LPS) (10 ng/mL) and cortisol (100 nM). The level of inflammation was deducted from the concentration of interleukin-8 (IL-8) in the medium. Intracellular oxidative stress was measured using the fluorescent probe 2′,7′-dichlorofluorescein (DCFH). We found that most of the dietary bioactives display antioxidant and anti-inflammatory action through the protection of the cortisol response. All compounds, except for quercetin, revealing antioxidant activity also protect the cortisol response. This indicates that the antioxidant activity of compounds plays an important role in the protection of the GC response. However, next to the antioxidant activity of the bioactives, other mechanisms also seem to be involved in this protective, anti-inflammatory effect. Full article
(This article belongs to the Special Issue Antioxidant 2.0——Redox Modulation by Food and Drugs)
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<p>Effect of bioactives on intracellular oxidative stress and glucocorticoid resistance arranged in accordance to their ability to restore the anti-inflammatory effect of cortisol. (<b>A</b>) IL-8 levels (%) in medium after cells were pre-incubated with H<sub>2</sub>O<sub>2</sub> (800 µM) ± bioactives (10 µM) for 1 h. and subsequently exposed to LPS (10 ng/mL) and cortisol (100 nM) for 16 h (<span class="html-italic">N</span> = 6, mean ± SEM); (<b>B</b>) Intracellular oxidative stress levels. Differentiated monocytes were incubated with DCFH for 45 min and then exposed to H<sub>2</sub>O<sub>2</sub> (800 µM) ± bioactives (10 µM) and fluorescence was recorded for 1 h (<span class="html-italic">N</span> = 4, mean ± SD, * <span class="html-italic">p</span> &lt; 0.05 Dunnett’s); (<b>C</b>) Correlation of the ability to reduce intracellular oxidative stress and to protect the cortisol response. Dotted lines represent maximal IL-8 production or fluorescence because no bioactives were added during H<sub>2</sub>O<sub>2</sub> incubation.</p>
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<p>Effect of the flavanol EC and several metabolites on intracellular oxidative stress and glucocorticoid resistance. (<b>A</b>) Cells were pre-incubated with H<sub>2</sub>O<sub>2</sub> (800 µM) ± flavanols (10 µM) for 1 h and subsequently exposed to LPS (10 ng/mL) and cortisol (100 nM) for 16 h. IL-8 levels (%) were measured in the cell medium (<span class="html-italic">N</span> = 6, mean ± SEM); (<b>B</b>) Intracellular oxidative stress. Differentiated monocytes were incubated with DCFH for 45 min, exposed to H<sub>2</sub>O<sub>2</sub> (800 µM) ± flavanols and fluorescence was measured for 1 h (<span class="html-italic">N</span> = 4, mean ± SD, * <span class="html-italic">p</span> &lt; 0.05 Dunnett’s). The dotted line represents IL-8 production or fluorescence of cells pre-incubated with H<sub>2</sub>O<sub>2</sub> (800 µM) without the bioactives, and subsequently exposed to LPS (10 ng/mL) and cortisol (100 nM).</p>
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<p>Effect of quercetin (Q) metabolites on cortisol response. Cells were pre-incubated with H<sub>2</sub>O<sub>2</sub> (800 µM) ± Q metabolites (10 µM) for 1 h and subsequently exposed to LPS (10 ng/mL) and cortisol (100 nM) for 16 h and IL-8 levels (%) measured in the cell medium (<span class="html-italic">N</span> = 6, mean ± SD, * <span class="html-italic">p</span> &lt; 0.05 Mann-Whitney <span class="html-italic">U</span> test). The dotted line represents IL-8 production of cells pre-incubated with H<sub>2</sub>O<sub>2</sub> (800 µM) without the bioactives, and subsequently exposed to LPS (10 ng/mL) and cortisol (100 nM).</p>
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5669 KiB  
Article
The Chinese Herbal Medicine Formula mKG Suppresses Pulmonary Fibrosis of Mice Induced by Bleomycin
by Ying Gao, Li-Fu Yao, Yang Zhao, Li-Man Wei, Peng Guo, Meng Yu, Bo Cao, Tan Li, Hong Chen and Zhong-Mei Zou
Int. J. Mol. Sci. 2016, 17(2), 238; https://doi.org/10.3390/ijms17020238 - 15 Feb 2016
Cited by 24 | Viewed by 6809
Abstract
Pulmonary fibrosis (PF) is a serious progressive lung disease and it originates from inflammation-induced parenchymal injury with excessive extracellular matrix deposition to result in the destruction of the normal lung architecture. Modified Kushen Gancao Formula (mKG), derived from traditional Chinese herbal [...] Read more.
Pulmonary fibrosis (PF) is a serious progressive lung disease and it originates from inflammation-induced parenchymal injury with excessive extracellular matrix deposition to result in the destruction of the normal lung architecture. Modified Kushen Gancao Formula (mKG), derived from traditional Chinese herbal medicine, has a prominent anti-inflammatory effect. The present study is to explore the inhibitory effects of mKG on bleomycin (BLM)-induced pulmonary fibrosis in mice. mKG significantly decreased pulmonary alveolitis, fibrosis scores, and interleukin-6 (IL-6), interleukin-17 (IL-17), transforming growth factor-β (TGF-β) and hydroxyproline (HYP) levels in lung tissue of mice compared with BLM treatment. It markedly alleviated the increase of HYP content in the lung tissues and pathologic changes of pulmonary fibrosis caused by BLM instillation. In conclusion, mKG has an anti-fibrotic effect and might be employed as a therapeutic candidate agent for attenuating pulmonary fibrosis. Full article
(This article belongs to the Section Biochemistry)
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Graphical abstract
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<p>Effect of <span class="html-italic">m</span>KG on histopathologic changes in BLM-induced pulmonary fibrosis mice. (<b>A</b>) Normal group; (<b>B</b>) BLM group; (<b>C</b>) Pirfenidone group; (<b>D</b>) Dexamethasone group; (<b>E</b>) <span class="html-italic">m</span>KG-H group; (<b>F</b>) <span class="html-italic">m</span>KG-M group; (<b>G</b>) <span class="html-italic">m</span>KG-L group. All sections were stained with HE and representative sections are shown at the same magnification (200×).</p>
Full article ">Figure 2
<p>Effect of <span class="html-italic">m</span>KG on histopathologic changes in BLM-induced pulmonary fibrosis mice. (<b>A</b>) Normal group; (<b>B</b>) BLM group; (<b>C</b>) Pirfenidone group; (<b>D</b>) Dexamethasone group; (<b>E</b>) <span class="html-italic">m</span>KG-H group; (<b>F</b>) <span class="html-italic">m</span>KG-M group; (<b>G</b>) <span class="html-italic">m</span>KG-L group. All sections were stained with Masson trichrome and representative sections are shown at the same magnification (200×).</p>
Full article ">Figure 3
<p>Effect of <span class="html-italic">m</span>KG on the mRNA Expression of IL-6 in the lung tissues of BLM-induced pulmonary fibrosis mice. (<b>a</b>) The mRNA expressions of IL-6 in the lung tissues were detected by RT-PCR; (<b>b</b>) The semiquantitative result of the IL-6 mRNA expression. Data were expressed as mean ± S.D. <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01 compared with the control group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 compared with the BLM group. (A) Normal group; (B) BLM group; (C) Pirfenidone group; (D) Dexamethasone group; (E) <span class="html-italic">m</span>KG-H group; (F) <span class="html-italic">m</span>KG-M group; (G) <span class="html-italic">m</span>KG-L group.</p>
Full article ">Figure 4
<p>Effect of <span class="html-italic">m</span>KG on the mRNA Expression of IL-17 in the lung tissues of BLM-induced pulmonary fibrosis mice. (<b>a</b>) The mRNA expressions of IL-17 in the lung tissues were detected by RT-PCR; (<b>b</b>) The semiquantitative result of the IL-17 mRNA expression. Data were expressed as mean ± S.D. <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01 compared with the control group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 compared with the BLM group. (A) Normal group; (B) BLM group; (C) Pirfenidone group; (D) Dexamethasone group; (E) <span class="html-italic">m</span>KG-H group; (F) <span class="html-italic">m</span>KG-M group; (G) <span class="html-italic">m</span>KG-L group.</p>
Full article ">Figure 5
<p>Effect of <span class="html-italic">m</span>KG on the mRNA Expression of Col-1, Col-3 in the lung tissues of BLM-induced pulmonary fibrosis mice by immunohistochemical analysis. (<b>a</b>) The Col-1, Col-3 expressions in the lung tissues were detected by immunohistochemical analysis (Col-1: upper panels; Col-3: lower panels). (Magnification, 200×); (<b>b</b>) The quantitative result of Col-1 expression; (<b>c</b>) The quantitative result of Col-3 expression. Data were expressed as mean ± S.D. <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01 compared with the control group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 compared with the BLM group. (A) Normal group; (B) BLM group; (C) Pirfenidone group; (D) Dexamethasone group; (E) <span class="html-italic">m</span>KG-H group; (F) <span class="html-italic">m</span>KG-M group; (G) <span class="html-italic">m</span>KG-L group.</p>
Full article ">Figure 6
<p>Effect of <span class="html-italic">m</span>KG on the content of TGF-β1, HYP, IL-6 and IL-17 in the lung tissues of BLM-induced pulmonary fibrosis mice by ELISA analysis. (<b>a</b>) TGF-β1 content in the lung tissues were detected by ELISA; (<b>b</b>) Hydroxyproline content in the lung tissues were detected by ELISA; (<b>c</b>) IL-6 content in the lung tissues were detected by ELISA; (<b>d</b>) IL-17 content in the lung tissues were detected by ELISA. Data were expressed as mean ± S.D. <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01 compared with the control group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 compared with the BLM group. (A) Normal group; (B) BLM group; (C) Pirfenidone group; (D) Dexamethasone group; (E) <span class="html-italic">m</span>KG-H group; (F) <span class="html-italic">m</span>KG-M group; (G) <span class="html-italic">m</span>KG-L group.</p>
Full article ">Figure 6 Cont.
<p>Effect of <span class="html-italic">m</span>KG on the content of TGF-β1, HYP, IL-6 and IL-17 in the lung tissues of BLM-induced pulmonary fibrosis mice by ELISA analysis. (<b>a</b>) TGF-β1 content in the lung tissues were detected by ELISA; (<b>b</b>) Hydroxyproline content in the lung tissues were detected by ELISA; (<b>c</b>) IL-6 content in the lung tissues were detected by ELISA; (<b>d</b>) IL-17 content in the lung tissues were detected by ELISA. Data were expressed as mean ± S.D. <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01 compared with the control group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 compared with the BLM group. (A) Normal group; (B) BLM group; (C) Pirfenidone group; (D) Dexamethasone group; (E) <span class="html-italic">m</span>KG-H group; (F) <span class="html-italic">m</span>KG-M group; (G) <span class="html-italic">m</span>KG-L group.</p>
Full article ">Figure 7
<p>Effect of <span class="html-italic">m</span>KG on the expression of α-SMA in the lung tissues of BLM-induced pulmonary fibrosis mice by Western blot analysis. (<b>a</b>) The α-SMA expressions in the lung tissues were detected by Western blot analysis; (<b>b</b>) The quantitative result of the α-SMA expression. Data were expressed as mean ± S.D. <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01 compared with the control group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 compared with the BLM group. (A) Normal group; (B) BLM group; (C) Pirfenidone group; (D) Dexamethasone group; (E) <span class="html-italic">m</span>KG-H group; (F) <span class="html-italic">m</span>KG-M group; (G) <span class="html-italic">m</span>KG-L group.</p>
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