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Int. J. Mol. Sci., Volume 16, Issue 10 (October 2015) – 145 articles , Pages 23127-25933

Cover Story: ESI mass spectrometry studies have made enormous contributions with macromolecules and their complexes. Nucleic acids are attractive therapeutic targets for compounds to modulate genetic processes and we have prepared several compound classes to target DNA. Screening for ligand–DNA complexes can prove daunting but a competitive mass spectrometric binding assay can help rapidly identify compounds with DNA sequence specificity. This powerful assay provides stoichiometry, binding mode and relative binding affinity and helps form rationally designed compounds with therapeutic potential. View this article.
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3515 KiB  
Review
Combined Treatments with Photodynamic Therapy for Non-Melanoma Skin Cancer
by Silvia Rocío Lucena, Nerea Salazar, Tamara Gracia-Cazaña, Alicia Zamarrón, Salvador González, Ángeles Juarranz and Yolanda Gilaberte
Int. J. Mol. Sci. 2015, 16(10), 25912-25933; https://doi.org/10.3390/ijms161025912 - 28 Oct 2015
Cited by 113 | Viewed by 12312
Abstract
Non-melanoma skin cancer (NMSC) is the most common form of cancer in the Caucasian population. Among NMSC types, basal cell carcinoma (BCC) has the highest incidence and squamous cell carcinoma (SCC) is less common although it can metastasize, accounting for the majority of [...] Read more.
Non-melanoma skin cancer (NMSC) is the most common form of cancer in the Caucasian population. Among NMSC types, basal cell carcinoma (BCC) has the highest incidence and squamous cell carcinoma (SCC) is less common although it can metastasize, accounting for the majority of NMSC-related deaths. Treatment options for NMSC include both surgical and non-surgical modalities. Even though surgical approaches are most commonly used to treat these lesions, Photodynamic Therapy (PDT) has the advantage of being a non-invasive option, and capable of field treatment, providing optimum cosmetic outcomes. Numerous clinical research studies have shown the efficacy of PDT for treating pre-malignant and malignant NMSC. However, resistant or recurrent tumors appear and sometimes become more aggressive. In this sense, the enhancement of PDT effectiveness by combining it with other therapeutic modalities has become an interesting field in NMSC research. Depending on the characteristics and the type of tumor, PDT can be applied in combination with immunomodulatory (Imiquimod) and chemotherapeutic (5-fluorouracil, methotrexate, diclofenac, or ingenol mebutate) agents, inhibitors of some molecules implicated in the carcinogenic process (COX2 or MAPK), surgical techniques, or even radiotherapy. These new strategies open the way to a wider improvement of the prevention and eradication of skin cancer. Full article
(This article belongs to the Special Issue Advances in Photodynamic Therapy)
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<p>Formation process, clinical and histological appearance of basal cell carcinoma and squamous cell carcinoma.</p>
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<p>Treatments and procedures that have been combined with photodynamic therapy to treat non-melanoma skin cancer.</p>
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<p>(<b>a</b>) Patient with recurrent Bowen disease after surgery and a cycle of methyl-aminolevulinate photodynamic therapy (MAL-PDT) (two sessions one week apart using 37 J·cm<sup>−2</sup> Aktilite<sup>®</sup> (Galderma SA, París, France); (<b>b</b>) Tumor persists one month after a second cycle of MAL-PDT and before treatment with topical imiquimod, five days per week during six weeks. (<b>c</b>) No recurrence after nine months of follow-up.</p>
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1183 KiB  
Article
Identification of Molecular Fingerprints in Human Heat Pain Thresholds by Use of an Interactive Mixture Model R Toolbox (AdaptGauss)
by Alfred Ultsch, Michael C. Thrun, Onno Hansen-Goos and Jörn Lötsch
Int. J. Mol. Sci. 2015, 16(10), 25897-25911; https://doi.org/10.3390/ijms161025897 - 28 Oct 2015
Cited by 41 | Viewed by 9252
Abstract
Biomedical data obtained during cell experiments, laboratory animal research, or human studies often display a complex distribution. Statistical identification of subgroups in research data poses an analytical challenge. Here were introduce an interactive R-based bioinformatics tool, called “AdaptGauss”. It enables a valid identification [...] Read more.
Biomedical data obtained during cell experiments, laboratory animal research, or human studies often display a complex distribution. Statistical identification of subgroups in research data poses an analytical challenge. Here were introduce an interactive R-based bioinformatics tool, called “AdaptGauss”. It enables a valid identification of a biologically-meaningful multimodal structure in the data by fitting a Gaussian mixture model (GMM) to the data. The interface allows a supervised selection of the number of subgroups. This enables the expectation maximization (EM) algorithm to adapt more complex GMM than usually observed with a noninteractive approach. Interactively fitting a GMM to heat pain threshold data acquired from human volunteers revealed a distribution pattern with four Gaussian modes located at temperatures of 32.3, 37.2, 41.4, and 45.4 °C. Noninteractive fitting was unable to identify a meaningful data structure. Obtained results are compatible with known activity temperatures of different TRP ion channels suggesting the mechanistic contribution of different heat sensors to the perception of thermal pain. Thus, sophisticated analysis of the modal structure of biomedical data provides a basis for the mechanistic interpretation of the observations. As it may reflect the involvement of different TRP thermosensory ion channels, the analysis provides a starting point for hypothesis-driven laboratory experiments. Full article
(This article belongs to the Special Issue Molecular and Cellular Mechanisms of Pain)
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<p>Screenshot of the interface of the AdaptGauss R tool. The following actions can be done by the user: ❶ Select the Gaussian that you intend to edit. The selected Gaussian is shown in green; ❷ Modify the parameters of the selected Gaussian; ❸ Add a new Gaussian or delete the selected one; ❹ Execute expectation maximization (EM) algorithm with displayed number of iterations; ❺ Prior to the execution of the EM algorithm the parameters of the current GMM is saved. Click here to restore these parameters; ❻ Normalize all Gaussians, so that the sum of the weights is equal to 1; ❼ Preserve the weight of the selected Gaussian, but normalize the weights of the other ones; ❽ Single Gaussians will just be shown if selected. GMM is always shown; ❾ Select to show Bayes boundaries; ❿ Plot figure for further processing; ⓫ Restore number of Gaussians and parameters of the GMM with the lowest RMS; ⓬ Close AdaptGauss. If it was started by “results = AdaptGauss(data)”, the variable “results” is now a list that contains the following elements: “Means”, “SDs”, “Weights”, “ParetoRadius”, “RMS”, and “BayesBoundaries”.</p>
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<p>Heat pain thresholds acquired from 127 healthy volunteers (rescaled for body area and sex). The data is shown as squares. A Gaussian distribution is overlaid as a red line (mean = 40.7 °C, standard deviation = 3.0) while the Pareto Density Estimation (PDE [<a href="#B11-ijms-16-25897" class="html-bibr">11</a>] is shown as a black line. The observed distribution of the data clearly differs from the Gaussian.</p>
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<p>Distribution of heat pain thresholds acquired from 127 volunteers (rescaled for body area and sex). The distribution is shown as the probability density function (PDF), estimated by means of the Pareto Density Estimation (PDE [<a href="#B11-ijms-16-25897" class="html-bibr">11</a>], black line in both panels). The red line shows the Gaussian distribution of the data. Using noninteractive EM fitting of a GMM (R-library “mclust” [<a href="#B12-ijms-16-25897" class="html-bibr">12</a>]) resulted in only a single component of a Gaussian mixture (top panel, red line). By contrast, interactively adapting a GMM (“AdaptGauss”) resulted in a substantially better multimodal Gaussian mixture (brown, orange, blue and green lines) describing the overall data distribution satisfactorily (red line displaying the sum of the single Gaussians).</p>
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<p>Quantile-quantile (QQ) plot comparing the observed distribution of heat pain threshold data (ordinate) with the distribution expected from the GMM (abscissa), which was fitted to the data as shown in <a href="#ijms-16-25897-f003" class="html-fig">Figure 3</a> bottom. The blue dots symbolize the quantiles of single observations <span class="html-italic">versus</span> predictions and the red line indicates identity.</p>
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Article
Heat Killed Lactobacillus reuteri GMNL-263 Reduces Fibrosis Effects on the Liver and Heart in High Fat Diet-Hamsters via TGF-β Suppression
by Wei-Jen Ting, Wei-Wen Kuo, Dennis Jine-Yuan Hsieh, Yu-Lan Yeh, Cecilia-Hsuan Day, Ya-Hui Chen, Ray-Jade Chen, Viswanadha Vijaya Padma, Yi-Hsing Chen and Chih-Yang Huang
Int. J. Mol. Sci. 2015, 16(10), 25881-25896; https://doi.org/10.3390/ijms161025881 - 28 Oct 2015
Cited by 48 | Viewed by 7876
Abstract
Obesity is one of the major risk factors for nonalcoholic fatty liver disease (NAFLD), and NAFLD is highly associated with an increased risk of cardiovascular disease (CVD). Scholars have suggested that certain probiotics may significantly impact cardiovascular health, particularly certain Lactobacillus species, such [...] Read more.
Obesity is one of the major risk factors for nonalcoholic fatty liver disease (NAFLD), and NAFLD is highly associated with an increased risk of cardiovascular disease (CVD). Scholars have suggested that certain probiotics may significantly impact cardiovascular health, particularly certain Lactobacillus species, such as Lactobacillus reuteri GMNL-263 (Lr263) probiotics, which have been shown to reduce obesity and arteriosclerosis in vivo. In the present study, we examined the potential of heat-killed bacteria to attenuate high fat diet (HFD)-induced hepatic and cardiac damages and the possible underlying mechanism of the positive effects of heat-killed Lr263 oral supplements. Heat-killed Lr263 treatments (625 and 3125 mg/kg-hamster/day) were provided as a daily supplement by oral gavage to HFD-fed hamsters for eight weeks. The results show that heat-killed Lr263 treatments reduce fatty liver syndrome. Moreover, heat-killed Lactobacillus reuteri GMNL-263 supplementation in HFD hamsters also reduced fibrosis in the liver and heart by reducing transforming growth factor β (TGF-β) expression levels. In conclusion, heat-killed Lr263 can reduce lipid metabolic stress in HFD hamsters and decrease the risk of fatty liver and cardiovascular disease. Full article
(This article belongs to the Section Biochemistry)
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<p>The animal epididymal adipose tissue weight and liver lipid and cholesterol metabolism biomarkers. (<b>A</b>) The HFD hamster epididymal adipose tissue weights were higher than in the control group, and the apididymal adipose tissue weight was lower in the heat-killed Lr263 (625 and 3125 mg/kg-hamster/day) treatment groups; (<b>B</b>) FAS; (<b>C</b>) HMG-CoA reductase; (<b>D</b>) CYP7A1; (<b>E</b>) PPARγ; and (<b>F</b>) LDLR are liver lipid metabolism biomarkers and were analyzed using RT-PCR. FAS and HMG-CoA reductase were greater in the HFD group and lower in the heat killed Lr263 (3125 mg/kg-hamster/day) treatment groups, but the difference in HMG-CoA reductase was not significant in the heat-killed Lr263 treatment groups. LDLR and CYP7A1 was lower in the HFD group and greater in the heat killed Lr263 (625 and 3125 mg/kg-hamster/day) treatment groups. (* <span class="html-italic">p</span> &lt; 0.05 compared with the HFD group).</p>
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<p>Fibrosis assessments. Cirrhosis was assessed using Massion’s trichrome (MS) staining assay to indicate the collagen accumulation (by the blue color) in liver tissue slides. The bar length is 100 μm.</p>
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<p>TGF-β protein levels in animal livers. (<b>A</b>) High TGF-β expression was observed only in the HFD group hamster livers; (<b>B</b>) The normalized protein expression of TGF-β with β-actin (* <span class="html-italic">p</span> &lt; 0.05 compared with the control group, # <span class="html-italic">p</span> &lt; 0.05, and ### <span class="html-italic">p</span> &lt; 0.001 compared with the HFD group).</p>
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<p>The echocardiography analysis of the hamster was performed using a 10 MHz transducer (GE 10S-RS). The B-mode was visualized for two-dimensional (long-axis and short-axis of the left ventricle) mode images and B-mode perspectives were further used to evaluate the left ventricle for the M-mode cursor. An M-mode evaluation of heart function was performed by comparing the left ventricular systolic and diastolic distances, which are shown as ejection fraction (EF) values and fractional shortening (FS) values (<span class="html-italic">n</span> = 6 in each group, * <span class="html-italic">p</span> &lt; 0.05 compared with control group, and # <span class="html-italic">p</span> &lt; 0.05 compared with HFD group).</p>
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<p>Assessment of fibrosis in the animal hearts. Cirrhosis was assessed using Masson’s trichrome (MS) staining assay to indicate collagen accumulation (the blue color indicated by the arrows) in the heart tissue slides. The bar length is 100 μm.</p>
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<p>TGF-β pathway protein expression analysis. (<b>A</b>) The TGF-β/Smad-3/CTGF expression levels increased in the HFD treatment hamster hearts and decreased in the heat-killed Lr263 (625 and 3125 mg/kg-hamster/day) treatment hamster hearts; (<b>B</b>) The normalized protein expression of TGF-β/β-actin, p-Erk/Erk, p-Smad3/Smad3, and CTGF/β-actin (*** <span class="html-italic">p</span> &lt; 0.001 compared with the control group, # <span class="html-italic">p</span> &lt; 0.05, and ### <span class="html-italic">p</span> &lt; 0.001 compared with the HFD group).</p>
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980 KiB  
Review
Aminolevulinic Acid-Based Tumor Detection and Therapy: Molecular Mechanisms and Strategies for Enhancement
by Xue Yang, Pratheeba Palasuberniam, Daniel Kraus and Bin Chen
Int. J. Mol. Sci. 2015, 16(10), 25865-25880; https://doi.org/10.3390/ijms161025865 - 28 Oct 2015
Cited by 132 | Viewed by 8835
Abstract
Aminolevulinic acid (ALA) is the first metabolite in the heme biosynthesis pathway in humans. In addition to the end product heme, this pathway also produces other porphyrin metabolites. Protoporphyrin (PpIX) is one heme precursor porphyrin with good fluorescence and photosensitizing activity. Because tumors [...] Read more.
Aminolevulinic acid (ALA) is the first metabolite in the heme biosynthesis pathway in humans. In addition to the end product heme, this pathway also produces other porphyrin metabolites. Protoporphyrin (PpIX) is one heme precursor porphyrin with good fluorescence and photosensitizing activity. Because tumors and other proliferating cells tend to exhibit a higher level of PpIX than normal cells after ALA incubation, ALA has been used as a prodrug to enable PpIX fluorescence detection and photodynamic therapy (PDT) of lesion tissues. Extensive studies have been carried out in the past twenty years to explore why some tumors exhibit elevated ALA-mediated PpIX and how to enhance PpIX levels to achieve better tumor detection and treatment. Here we would like to summarize previous research in order to stimulate future studies on these important topics. In this review, we focus on summarizing tumor-associated alterations in heme biosynthesis enzymes, mitochondrial functions and porphyrin transporters that contribute to ALA-PpIX increase in tumors. Mechanism-based therapeutic strategies for enhancing ALA-based modalities including iron chelators, differentiation agents and PpIX transporter inhibitors are also discussed. Full article
(This article belongs to the Special Issue Advances in Photodynamic Therapy)
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<p>Heme biosynthesis pathway (in red) connects with glucose (in green) and glutamine (in blue) metabolic pathways. Porphyrin synthesis converges with energy metabolism through TCA (tricarboxylic acid) cycle. Enhanced glycolysis and glutaminolysis in tumor cells may activate heme biosynthetic pathway to ensure energy production and avoid the accumulation of TCA metabolites.</p>
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<p>Current therapeutic strategies for enhancing ALA-based tumor detection and therapy. These strategies include enhancing PpIX synthesis, reducing PpIX conversion and inhibiting PpIX efflux.</p>
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2342 KiB  
Review
Site-Specific PEGylation of Therapeutic Proteins
by Jonathan K. Dozier and Mark D. Distefano
Int. J. Mol. Sci. 2015, 16(10), 25831-25864; https://doi.org/10.3390/ijms161025831 - 28 Oct 2015
Cited by 225 | Viewed by 17390
Abstract
The use of proteins as therapeutics has a long history and is becoming ever more common in modern medicine. While the number of protein-based drugs is growing every year, significant problems still remain with their use. Among these problems are rapid degradation and [...] Read more.
The use of proteins as therapeutics has a long history and is becoming ever more common in modern medicine. While the number of protein-based drugs is growing every year, significant problems still remain with their use. Among these problems are rapid degradation and excretion from patients, thus requiring frequent dosing, which in turn increases the chances for an immunological response as well as increasing the cost of therapy. One of the main strategies to alleviate these problems is to link a polyethylene glycol (PEG) group to the protein of interest. This process, called PEGylation, has grown dramatically in recent years resulting in several approved drugs. Installing a single PEG chain at a defined site in a protein is challenging. Recently, there is has been considerable research into various methods for the site-specific PEGylation of proteins. This review seeks to summarize that work and provide background and context for how site-specific PEGylation is performed. After introducing the topic of site-specific PEGylation, recent developments using chemical methods are described. That is followed by a more extensive discussion of bioorthogonal reactions and enzymatic labeling. Full article
(This article belongs to the Special Issue Protein Engineering)
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<p>The general strategy for protein PEGylation: A functional group (X) on a protein is reacted with a complementary group (Y) on a poly(ethylene glycol) polymer (PEG) molecule forming a protein–PEG conjugate.</p>
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<p>Site-specific PEGylation of a protein via chemical modification of cysteine: First a cysteine is encoded into a protein that lacks any free cysteines. Then, that cysteine is reacted with a maleimide–PEG group forming a covalent bond between the protein and the PEG group.</p>
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<p>A general scheme for the PEGylation of disulfide bridges: The disulfide bond of the protein is first reduced and then both of the free cysteines are reacted with a bridging PEG-based reagent. This both attaches a PEG to the protein and helps to preserve the protein’s secondary structure.</p>
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<p>PEGylation using a His-tagging approach. A protein is encoded with a polyhistidine tag. Once incubated with a Ni–nitrilotriacetic acid (NTA)–PEG reagent, a complex is formed between the histidine residues and the nickel ion, thus PEGylating the protein.</p>
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<p>Site specific PEGylation using sortagging. A protein of interest is appended with a LPETG peptide sequence followed by any other desired sequence (red box). The sortase enzyme will then cleave the T–G bond and attach the triglycine PEG substrate to the protein via formation of a new amide bond.</p>
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<p>Protein PEGylation using protein farnesyltransferase (PFTase): A protein is engineered with a “CaaX-box” tag and then PFTase is used to attach a farnesyl aldehyde analogue to the cysteine of the CaaX box. Afterward, a secondary reaction is performed with an aminooxy–PEG group to form an oxime linkage between the protein and the PEG group. The catalyst <span class="html-italic">m</span>-phenylenediamine (mPDA) was used in these experiments.</p>
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<p>GlycoPEGylation of proteins: A protein that is naturally glycosylated is incubated with a galactosyltransferase and uridine 5′-diphospho-<span class="html-italic">N</span>-acetylgalactosamine (UDP-GalNac). GalNac is represented by a red box. Once the GalNac is installed on the protein, it is next incubated with a cytidine monophosphate (CMP) activated sialic acid group containing a PEG moiety (shown as pink hexagon) and a sialyltransferase. The enzyme adds the sialyl–PEG group to the GalNac residue and thus the protein becomes covalently PEGylated.</p>
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<p>Transglutaminase (TGase) catalyzed PEGylation: A protein with a glutamine residue in a flexible loop is incubated with a TGase and a PEG molecule containing a primary amine. The TGase will PEGylate the protein, creating a new covalent bond.</p>
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<p>PEGylation using formylglycine-generating enzyme (FGE): FGE will convert a cysteine in a CXPXR consensus sequence to an aldehyde-containing formylglycine (fGly) residue. This new aldehyde can then be used to react with an aminooxy-containing PEG molecule to create an oxime bond between the PEG and the protein.</p>
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Article
Interleukins 6 and 15 Levels Are Higher in Subcutaneous Adipose Tissue, but Obesity Is Associated with Their Increased Content in Visceral Fat Depots
by Marta Izabela Jonas, Alina Kurylowicz, Zbigniew Bartoszewicz, Wojciech Lisik, Maurycy Jonas, Zbigniew Wierzbicki, Andrzej Chmura, Piotr Pruszczyk and Monika Puzianowska-Kuznicka
Int. J. Mol. Sci. 2015, 16(10), 25817-25830; https://doi.org/10.3390/ijms161025817 - 28 Oct 2015
Cited by 45 | Viewed by 8035
Abstract
Excess adiposity is associated with chronic inflammation, which takes part in the development of obesity-related complications. The aim of this study was to establish whether subcutaneous (SAT) or visceral (VAT) adipose tissue plays a major role in synthesis of pro-inflammatory cytokines. Concentrations of [...] Read more.
Excess adiposity is associated with chronic inflammation, which takes part in the development of obesity-related complications. The aim of this study was to establish whether subcutaneous (SAT) or visceral (VAT) adipose tissue plays a major role in synthesis of pro-inflammatory cytokines. Concentrations of interleukins (IL): 1β, 6, 8 and 15 were measured at the protein level by an ELISA-based method and on the mRNA level by real-time PCR in VAT and SAT samples obtained from 49 obese (BMI > 40 kg/m2) and 16 normal-weight (BMI 20–24.9 kg/m2) controls. IL-6 and IL-15 protein concentrations were higher in SAT than in VAT for both obese (p = 0.003 and p < 0.0001, respectively) and control individuals (p = 0.004 and p = 0.001, respectively), while for IL-1β this was observed only in obese subjects (p = 0.047). What characterized obese individuals was the higher expression of IL-6 and IL-15 at the protein level in VAT compared to normal-weight controls (p = 0.047 and p = 0.016, respectively). Additionally, obese individuals with metabolic syndrome had higher IL-1β levels in VAT than did obese individuals without this syndrome (p = 0.003). In conclusion, concentrations of some pro-inflammatory cytokines were higher in SAT than in VAT, but it was the increased pro-inflammatory activity of VAT that was associated with obesity and metabolic syndrome. Full article
(This article belongs to the Special Issue Molecular Research on Obesity and Diabetes)
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<p>Mean protein levels of interleukin 1β (<b>a</b>); interleukin 6 (<b>b</b>); interleukin 8 (<b>c</b>) and interleukin 15 (<b>d</b>) in the visceral (VAT) and subcutaneous (SAT) adipose tissues of obese (O) and normal-weight (N) individuals. Results are shown as mean ± standard deviation.</p>
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<p>Mean interleukin 1β (<b>a</b>), interleukin 6 (<b>b</b>) interleukin 8 (<b>c</b>) and interleukin 15 (<b>d</b>) mRNA levels in the visceral (VAT) and subcutaneous (SAT) adipose tissues of obese (O) and normal-weight (N) individuals. Results, normalized against the expression of <span class="html-italic">ACTB</span>, are shown as mean ± standard deviation.</p>
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<p>Correlation of interleukin 6 and interleukin 8 protein and mRNA levels in the visceral (VAT) and subcutaneous (SAT) adipose tissues.</p>
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Review
Hormonal Regulation of Response to Oxidative Stress in Insects—An Update
by Dalibor Kodrík, Andrea Bednářová, Milada Zemanová and Natraj Krishnan
Int. J. Mol. Sci. 2015, 16(10), 25788-25816; https://doi.org/10.3390/ijms161025788 - 27 Oct 2015
Cited by 104 | Viewed by 10913
Abstract
Insects, like other organisms, must deal with a wide variety of potentially challenging environmental factors during the course of their life. An important example of such a challenge is the phenomenon of oxidative stress. This review summarizes the current knowledge on the role [...] Read more.
Insects, like other organisms, must deal with a wide variety of potentially challenging environmental factors during the course of their life. An important example of such a challenge is the phenomenon of oxidative stress. This review summarizes the current knowledge on the role of adipokinetic hormones (AKH) as principal stress responsive hormones in insects involved in activation of anti-oxidative stress response pathways. Emphasis is placed on an analysis of oxidative stress experimentally induced by various stressors and monitored by suitable biomarkers, and on detailed characterization of AKH’s role in the anti-stress reactions. These reactions are characterized by a significant increase of AKH levels in the insect body, and by effective reversal of the markers—disturbed by the stressors—after co-application of the stressor with AKH. A plausible mechanism of AKH action in the anti-oxidative stress response is discussed as well: this probably involves simultaneous employment of both protein kinase C and cyclic adenosine 3′,5′-monophosphate pathways in the presence of extra and intra-cellular Ca2+ stores, with the possible involvement of the FoxO transcription factors. The role of other insect hormones in the anti-oxidative defense reactions is also discussed. Full article
(This article belongs to the Section Biochemistry)
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<p>A hypothetical model for AKH action and for the role of FoxO in response to OS in insects. Activation of adenylate cyclase (AC) by AKH through G-protein coupled receptors (GPCRs) leads to an elevation of cAMP, which can directly affect FoxO; FoxO can then feedback and modulate the level of cAMP by direct activation of ac76e. This will induce FoxO localization in the nucleus, where FoxO can act as a transcription factor. Activation of phospholipase C (PLC), on the other hand, leads to elevation in levels of IP3 and protein kinase B (Akt), which leads to degradation of FoxO and its release from the nucleus. Protein kinase B causes phosphorylation of FoxO in the nucleus at the 14-3-3 binding site. This phosphorylation of FoxO masks the nuclear localization signal and prevents nuclear translocation, thereby inhibiting the activities of FoxO. Activation of Jun N-terminus kinase (JNK) under OS conditions directly affects FoxO and leads to its phosphorylation and nuclear translocation, where FoxO can manifest its function in protection against OS. It might also be possible that AKH directly (or indirectly through JNK) stimulates FoxO translocation into the nucleus. FoxO might then have a feedback regulation effect on AKH. FoxO may also activate AMP-activated protein kinase (AMPK) by increasing levels of sestrin in response to stress, which will subsequently lead to inhibition of TOR. TOR is a downstream effector of Akt-IP3. Moreover, AMPK activated by FoxO through sestrin inhibits TOR and at the same time has a positive feedback effect on FoxO. The mechanism by which FoxO confers oxidative-stress resistance most probably runs via the transcriptional uregulation of anti-oxidative enzyme genes e.g., manganese superoxide dismutase (MnSOD), catalase (CAT), and genes encoding cytochrome P450 enzymes (Cyp4e2), or stress responsive proteins such as sestrin (see also corresponding text). Bold arrows represent known pathways whereas dashed arrows represent hypothetical pathways.</p>
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Article
Rare Titin (TTN) Variants in Diseases Associated with Sudden Cardiac Death
by Oscar Campuzano, Olallo Sanchez-Molero, Irene Mademont-Soler, Helena Riuró, Catarina Allegue, Monica Coll, Alexandra Pérez-Serra, Jesus Mates, Ferran Picó, Anna Iglesias and Ramon Brugada
Int. J. Mol. Sci. 2015, 16(10), 25773-25787; https://doi.org/10.3390/ijms161025773 - 27 Oct 2015
Cited by 17 | Viewed by 9089
Abstract
A leading cause of death in western countries is sudden cardiac death, and can be associated with genetic disease. Next-generation sequencing has allowed thorough analysis of genes associated with this entity, including, most recently, titin. We aimed to identify potentially pathogenic genetic variants [...] Read more.
A leading cause of death in western countries is sudden cardiac death, and can be associated with genetic disease. Next-generation sequencing has allowed thorough analysis of genes associated with this entity, including, most recently, titin. We aimed to identify potentially pathogenic genetic variants in titin. A total of 1126 samples were analyzed using a custom sequencing panel including major genes related to sudden cardiac death. Our cohort was divided into three groups: 432 cases from patients with cardiomyopathies, 130 cases from patients with channelopathies, and 564 post-mortem samples from individuals showing anatomical healthy hearts and non-conclusive causes of death after comprehensive autopsy. None of the patients included had definite pathogenic variants in the genes analyzed by our custom cardio-panel. Retrospective analysis comparing the in-house database and available public databases also was performed. We identified 554 rare variants in titin, 282 of which were novel. Seven were previously reported as pathogenic. Of these 554 variants, 493 were missense variants, 233 of which were novel. Of all variants identified, 399 were unique and 155 were identified at least twice. No definite pathogenic variants were identified in any of genes analyzed. We identified rare, mostly novel, titin variants that seem to play a potentially pathogenic role in sudden cardiac death. Additional studies should be performed to clarify the role of these variants in sudden cardiac death. Full article
(This article belongs to the Special Issue Human Single Nucleotide Polymorphisms and Disease Diagnostics)
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<p>Representative diagram of titin’s position in myocyte architecture. Titin extends from the Z-disk of the sarcomere (N-terminus) to the M-band (C-terminus). The central part of the protein contains I-band region (I) and A-band region (A).</p>
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<p>Representation of cases and variants. (<b>A</b>) Distribution of samples in the cohort; (<b>B</b>) Distribution of variants grouped by number of repetitions in the cohort. SUD: Sudden Unexplained Death; SIDS: Sudden Infant Death Syndrome; ARVC: Arrhythmogenic Right Ventricular Cardiomyopathy; DCM: Dilated Cardiomyopathy; HCM: Hypertrophic Cardiomyopathy; LQT: Long QT Syndrome; CPVT: Catecholaminergic Polymorphic Ventricular Tachycardia; SQT: Short QT Syndrome; BrS: Brugada Syndrome; LVNC: Left Ventricular Non-Compaction.</p>
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<p>Representation of cases and variants. (<b>A</b>) Distribution of samples in the cohort; (<b>B</b>) Distribution of variants grouped by number of repetitions in the cohort. SUD: Sudden Unexplained Death; SIDS: Sudden Infant Death Syndrome; ARVC: Arrhythmogenic Right Ventricular Cardiomyopathy; DCM: Dilated Cardiomyopathy; HCM: Hypertrophic Cardiomyopathy; LQT: Long QT Syndrome; CPVT: Catecholaminergic Polymorphic Ventricular Tachycardia; SQT: Short QT Syndrome; BrS: Brugada Syndrome; LVNC: Left Ventricular Non-Compaction.</p>
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2436 KiB  
Article
Identification and Analysis of Regulatory Elements in Porcine Bone Morphogenetic Protein 15 Gene Promoter
by Qianhui Wan, Yaxian Wang and Huayan Wang
Int. J. Mol. Sci. 2015, 16(10), 25759-25772; https://doi.org/10.3390/ijms161025759 - 27 Oct 2015
Cited by 5 | Viewed by 5029
Abstract
Bone morphogenetic protein 15 (BMP15) is secreted by the mammalian oocytes and is indispensable for ovarian follicular development, ovulation, and fertility. To determine the regulation mechanism of BMP15 gene, the regulatory sequence of porcine BMP15 was investigated in this study. The cloned BMP15 [...] Read more.
Bone morphogenetic protein 15 (BMP15) is secreted by the mammalian oocytes and is indispensable for ovarian follicular development, ovulation, and fertility. To determine the regulation mechanism of BMP15 gene, the regulatory sequence of porcine BMP15 was investigated in this study. The cloned BMP15 promoter retains the cell-type specificity, and is activated in cells derived from ovarian tissue. The luciferase assays in combination with a series of deletion of BMP15 promoter sequence show that the −427 to −376 bp region of BMP15 promoter is the primary regulatory element, in which there are a number of transcription factor binding sites, including LIM homeobox 8 (LHX8), newborn ovary homeobox gene (NOBOX), and paired-like homeodomain transcription factor 1 (PITX1). Determination of tissue-specific expression reveals that LHX8, but not PITX1 and NOBOX, is exclusively expressed in pig ovary tissue and is translocated into the cell nuclei. Overexpression of LHX8 in Chinese hamster ovary (CHO) cells could significantly promote BMP15 promoter activation. This study confirms a key regulatory element that is located in the proximal region of BMP15 promoter and is regulated by the LHX8 factor. Full article
(This article belongs to the Section Biochemistry)
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<p>Porcine <span class="html-italic">BMP15</span> gene 5ʹ untranslated region (UTR) and transcription regulatory region. The 2166 bp 5ʹ UTR and promoter region of porcine <span class="html-italic">BMP15</span> gene was cloned from porcine ovary tissue. The potential transcription initiation site is underlined. The predicted DNA binding sites are highlighted.</p>
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<p>Functional analysis of cloned porcine <span class="html-italic">BMP15</span> promoter. (<b>A</b>) Reporter vector pE2.2 is derived from pEGFP-1 vector and contains 2.2 kb <span class="html-italic">BMP15</span> promoter fragment that is confirmed by Xho<span class="html-italic">I</span>/Hind<span class="html-italic">III</span> digestions; (<b>B</b>) Reporter vector pL2.2 is derived from pGL3-basic vector and contains 2.2 kb fragment confirmed by Xho<span class="html-italic">I</span>/Hind<span class="html-italic">III</span> digestions; (<b>C</b>) Cell-specific activation of <span class="html-italic">BMP15</span> promoter in different cell lines. Scale bar, 100 μm; and (<b>D</b>) Time-dependent luciferase assay for <span class="html-italic">BMP15</span> promoter activity in CHO cells. The pGL3-Basic vector was used as control. Values are represented as mean ± SD, <b>*</b> <span class="html-italic">p</span> &lt; 0.05, <b>**</b> <span class="html-italic">p</span> &lt; 0.01, <b>***</b> <span class="html-italic">p</span> &lt; 0.001, <span class="html-italic">n</span> = 3.</p>
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<p>Screening of the core regulatory sequence in <span class="html-italic">BMP15</span> promoter. (<b>A</b>) The schematic diagram of vector pL2.2. The sites of truncated constructs are denoted in black bars. Circle dots indicate the potential DNA binding sites, and a triangle indicates the predicted transcription start site of porcine <span class="html-italic">BMP15</span>; (<b>B</b>) PCR amplified fragments of truncated <span class="html-italic">BMP15</span> promoter (<b>a</b>) and the constructs digested by Xho<span class="html-italic">I</span> and Hind<span class="html-italic">III</span> (<b>b</b>). M, 2000 bp DNA marker; and (<b>C</b>) Luciferase assays of the truncated constructs in CHO, C2C12, and NIH3T3 cells. The pGL3-Basic vector was used as control. Values are represented as mean ± SD, <b>*</b> <span class="html-italic">p</span> &lt; 0.05, <b>**</b> <span class="html-italic">p</span> &lt; 0.01, <b>***</b> <span class="html-italic">p</span> &lt; 0.001, <span class="html-italic">n</span> = 3.</p>
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<p>Functional analysis of regulatory elements in porcine <span class="html-italic">BMP15</span> promoter. (<b>A</b>) Alignment of <span class="html-italic">BMP15</span> promoter sequences among animal species. The potential DNA binding sites are highlighted in boxes; (<b>B</b>) The consensus sequences of TFAP2C, LHX8, PITX1, NOBOX, and FOXO1 are predicted by JASPAR program (jaspar.genereg.net); (<b>C</b>) The proximal sequence (–460 to –1 bp) of <span class="html-italic">BMP15</span> promoter has multiple potential DNA binding sites (<b>a</b>). Luciferase assays were performed with different deletion constructs in CHO, C2C12, and NIH3T3 cells (<b>b</b>); and (<b>D</b>) Partial proximal sequence (−460 to −175 bp) of <span class="html-italic">BMP15</span> promoter region (<b>a</b>). Luciferase assays were performed with different deletion constructs in CHO, C2C12, and NIH3T3 cells (<b>b</b>). The primer sequences used to generate the deletion are indicated by arrows. Values are represented as mean ± SD; <b>**</b> <span class="html-italic">p</span> &lt; 0.01; <b>***</b> <span class="html-italic">p</span> &lt; 0.001; <span class="html-italic">n</span> = 3.</p>
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<p>LHX8 enhances the activation of <span class="html-italic">BMP15</span> promoter. (<b>A</b>) RT-PCR analysis of expression of transcription factors in different porcine tissues; (<b>B</b>) Overexpression of LHX8 in CHO and NIH3T3 cells. The plasmid pEGFP-C1 was used as control. Scale bar, 100 μm; and (<b>C</b>) Luciferase assays of <span class="html-italic">BMP15</span> promoter activity that was enhanced by LHX8 were performed by cotransfection of vectors into CHO and NIH3T3 cells for 36 h. +, indicats a vector was transfected into the recipient cells. Values are represented as mean ± SD. <b>*</b> <span class="html-italic">p</span> &lt; 0.05; <b>**</b> <span class="html-italic">p</span> &lt; 0.01; <span class="html-italic">n</span> = 3.</p>
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5751 KiB  
Article
JNK-Bcl-2/Bcl-xL-Bax/Bak Pathway Mediates the Crosstalk between Matrine-Induced Autophagy and Apoptosis via Interplay with Beclin 1
by Jiong Yang and Shukun Yao
Int. J. Mol. Sci. 2015, 16(10), 25744-25758; https://doi.org/10.3390/ijms161025744 - 27 Oct 2015
Cited by 93 | Viewed by 10021
Abstract
Autophagy is associated with drug resistance which has been a threat in chemotherapy of hepatocellular carcinoma (HCC). The interconnected molecular regulators between autophagy and apoptosis serve as switching points critical to the ultimate outcome of the cell. Our study was performed to investigate [...] Read more.
Autophagy is associated with drug resistance which has been a threat in chemotherapy of hepatocellular carcinoma (HCC). The interconnected molecular regulators between autophagy and apoptosis serve as switching points critical to the ultimate outcome of the cell. Our study was performed to investigate the crosstalk between autophagy and apoptosis in HCC after the treatment of matrine. Flow cytometry and TUNEL (terminal dexynucleotidyl transferase (TdT)-mediated dUTP nick end labeling) assay were used to detect apoptosis in vitro and in vivo, respectively. Bax oligomerization and Cytochrome c release assay were performed. Immunoprecipitation and siRNA transfection were used to detect the interplay between Bcl-2/Bcl-xL,Bax, and Beclin 1. Our results showed that: (1) matrine not only activated caspase and PARP (poly ADP-ribose polymerase) cleavage, but also triggered autophagy as shown by the increased levels of LC3II, Beclin 1, and PI3KC3, and the decreased level of p62; (2) matrine treatment promoted the JNK-Bcl-2/ Bcl-xL-Bax/Bak pathway; (3) Bax was oligomerized, the mitochondrial membrane potential altered, and Cytochrome c was released subsequently; (4) Bax interacts with Beclin 1 and inhibits autophagy, which may be a new crosstalk point; and (5) finally, we showed that matrine suppressed the growth of a MHCC97L xenograft in vivo for the first time. In conclusion, the JNK-Bcl-2/Bcl-xL-Bax/Bak pathway mediates the crosstalk between matrine-induced autophagy and apoptosis via interplay with Beclin 1. Full article
(This article belongs to the Section Biochemistry)
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<p>Matrine-induced cytotoxicity in HCC cells. MHCC97L (<b>a</b>) and Huh-7 (<b>b</b>) cells were treated with a series of concentration gradients of matrine for 24, 48, and 72 h. Then (<b>a</b>,<b>b</b>) cell viability was analyzed by the CCK-8 cell viability assay; after drug treatments (0.8 mg/mL matrine) for 24 h; MHCC97L and Huh-7 cells (<b>c</b>) were stained with PI (propidine iodide) and FITC (fluorescein isothiocyanate) Annexin V. Apoptosis was then detected using flow cytometric assay three times; (<b>d</b>,<b>e</b>) statistical analysis of apoptotic rate; <b>**</b> represents a statistically significant difference at <span class="html-italic">p</span> &lt; 0.01; <b>***</b> represents a statistically significant difference at <span class="html-italic">p</span> &lt; 0.001, respectively; (<b>f</b>,<b>g</b>) after drug treatments (0.8 mg/mL matrine, 25 μM Z-VAD-FMK, 0.8 mg/mL matrine + 25 μM Z-VAD-FMK) for 24 h, cell viability was then analyzed by the CCK-8 cell viability assay; <b>****</b> represents a statistical significance at <span class="html-italic">p</span> &lt; 0.0001; <span class="html-italic">p</span>-values of <b>**</b> in (<b>f</b>,<b>g</b>) were 0.002 and 0.0015, respectively.</p>
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<p>Matrine-induced cytotoxicity in HCC cells. MHCC97L (<b>a</b>) and Huh-7 (<b>b</b>) cells were treated with a series of concentration gradients of matrine for 24, 48, and 72 h. Then (<b>a</b>,<b>b</b>) cell viability was analyzed by the CCK-8 cell viability assay; after drug treatments (0.8 mg/mL matrine) for 24 h; MHCC97L and Huh-7 cells (<b>c</b>) were stained with PI (propidine iodide) and FITC (fluorescein isothiocyanate) Annexin V. Apoptosis was then detected using flow cytometric assay three times; (<b>d</b>,<b>e</b>) statistical analysis of apoptotic rate; <b>**</b> represents a statistically significant difference at <span class="html-italic">p</span> &lt; 0.01; <b>***</b> represents a statistically significant difference at <span class="html-italic">p</span> &lt; 0.001, respectively; (<b>f</b>,<b>g</b>) after drug treatments (0.8 mg/mL matrine, 25 μM Z-VAD-FMK, 0.8 mg/mL matrine + 25 μM Z-VAD-FMK) for 24 h, cell viability was then analyzed by the CCK-8 cell viability assay; <b>****</b> represents a statistical significance at <span class="html-italic">p</span> &lt; 0.0001; <span class="html-italic">p</span>-values of <b>**</b> in (<b>f</b>,<b>g</b>) were 0.002 and 0.0015, respectively.</p>
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<p>Matrine-induced apoptosis and autophagy in hepatocellular carcinoma cells. MHCC97L (<b>a</b>) and Huh-7 (<b>b</b>) cells were treated with matrine (0.8 mg/mL) for 4, 8, 16, 24, and 48 h. After matrine treatment, the cleavage of caspase 3, 9, or PARP and p62, LC3, PI3KC3, and Beclin 1 were detected by immunoblotting.</p>
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<p>Role of the JNK-Bcl-2/Bcl-xL pathway in apoptosis and autophagy. (<b>a</b>) MHCC97L cells were treated with matrine (0.8 mg/mL) for 4, 8, 16, 24, and 48 h. After matrine treatment, proteins in cell lysate were separated by SDS–PAGE. JNK, p-JNK, Akt, p-Akt, p38, p-p38, ERK, p-ERK, Bcl-2, p-Bcl-2, Bcl-xL, and p-Bcl-xL were detected by immunoblotting; (<b>b</b>), (<b>c</b>) and MHCC97L and Huh-7 cells were treated with matrine (0.8 mg/mL) and matrine (0.8 mg/mL) + SP600125 (90 nM) for 48 h. Cell viability was then analyzed by CCK-8 cell viability assay. <b>***</b> represents a statistical significance at <span class="html-italic">p</span> &lt; 0.001. <span class="html-italic">p</span>-Values of (<b>b</b>,<b>c</b>) were 0.0006 and 0.0003, respectively; and (<b>d</b>) After the separation of proteins in cell lysate with SDS–PAGE, Bcl-2, p-Bcl-2, Bcl-xL, p-Bcl-xL, p62, LC3, and the cleavage of caspase 3 were detected by immunoblotting.</p>
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<p>Mitochondrial membrane potential alteration, Bax oligomerization, and cytochrome c release. (<b>a</b>) MHCC97L and HuH-7 cells were treated with 10 mM CCCP (carbonylcyanide-<span class="html-italic">m</span>-chlorophenylhydrazone) or 0.8 mg/mL matrine for 24 h, stained with JC-1, and then analyzed under fluorescence microscope. Cells treated by CCCP were used as positive control and normal cells were used as negative control; (<b>b</b>–<b>e</b>) After drug treatment for 16, 24, and 48 h, cell lysate (<b>b</b>), cytosolic (<b>d</b>) and mitochondrial (<b>c</b>,<b>e</b>) fractions of MHCC97L cells were obtained. Proteins from each fraction were then preceded to immunoblotting with anti-cytochrome c, anti-Bax, and anti-Bak antibody; (<b>e</b>) Bax monomer (1×, 21 kDa) and multimers (2×, 3×, and 4×) were indicated. COX IV was used as the mitochondrial marker and actin as the cytosolic marker.</p>
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<p>Role of interaction between Bcl-2/Bcl-xL/Bax and Beclin 1 in matrine-induced apoptosis and autophagy. (<b>a</b>) MHCC97L cells were treated with matrine (0.8 mg/mL) for 48 h, cell lysates were extracted and immunoprecipitated with anti-Beclin 1 antibody or IgG, and then immunoblotted with anti-Beclin 1, anti-Bcl-2, anti-Bcl-xL or anti-Bax antibodies; (<b>b</b>,<b>c</b>) MHCC97L cells were transfected with Bax- and Bak-specific siRNAs or negative control for 40 h; (<b>b</b>) Cells were treated with or without matrine for 40 h. After being separated by SDS–PAGE, proteins were immunoblotted with anti-p62 and anti-LC3 antibodies; (<b>c</b>) Cells were treated with 0.8 mg/mL matrine for 40 h. After being separated by SDS–PAGE, proteins were immunoblotted with anti-Bax, anti-Bak, anti-Bcl-2, anti-p-Bcl-2, anti-Bcl-xL, anti-p-Bcl-xL, anti-p62, anti-LC3 antibodies.</p>
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<p>Effect of matrine on the growth of MHCC97L xenograft. Normal saline (NS) or matrine (50 mg/kg) was administered daily by intraperitoneal injection when the tumor volume reached about 200 mm<sup>3</sup>. All mice were killed after four weeks of matrine administration. <b>*</b> represents a statistically significant difference at <span class="html-italic">p</span> &lt; 0.05; <b>**</b> represents a statistically significant difference at <span class="html-italic">p</span> &lt; 0.01. (<b>a</b>) Photograph of tumor removed from each group; (<b>b</b>) Tumor weight of each group (<b>*</b> <span class="html-italic">p</span> = 0.0123); (<b>c</b>) The apoptotic status of tissues was evaluated by TUNEL assay; (<b>d</b>) Apoptotic rate of each group (<b>**</b> <span class="html-italic">p</span> = 0.0075); and (<b>e</b>) LC3 was detected by immunoblotting.</p>
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743 KiB  
Review
Epidemiology of Hepatitis E Virus in European Countries
by Daniele Lapa, Maria Rosaria Capobianchi and Anna Rosa Garbuglia
Int. J. Mol. Sci. 2015, 16(10), 25711-25743; https://doi.org/10.3390/ijms161025711 - 27 Oct 2015
Cited by 96 | Viewed by 8652
Abstract
Over the last decade the seroprevalence of immunoglobulin (IgG) anti hepatitis E virus (HEV) has been increasing in European countries and shows significant variability among different geographical areas. In this review, we describe the serological data concerning the general population and risk groups [...] Read more.
Over the last decade the seroprevalence of immunoglobulin (IgG) anti hepatitis E virus (HEV) has been increasing in European countries and shows significant variability among different geographical areas. In this review, we describe the serological data concerning the general population and risk groups in different European countries. Anti-HEV antibody prevalence ranged from 1.3% (blood donors in Italy) to 52% (blood donors in France). Various studies performed on risk groups in Denmark, Moldova and Sweden revealed that swine farmers have a high seroprevalence of HEV IgG (range 13%–51.1%), confirming that pigs represent an important risk factor in HEV infection in humans. Subtypes 3e,f are the main genotypes detected in the European population. Sporadic cases of autochthonous genotype 4 have been described in Spain, France, and Italy. Although most HEV infections are subclinical, in immune-suppressed and transplant patients they could provoke chronic infection. Fulminant hepatitis has rarely been observed and it was related to genotype 3. Interferon and ribavirin treatment was seen to represent the most promising therapy. Full article
(This article belongs to the Special Issue Viral Hepatitis Research)
2418 KiB  
Article
ClRTL1 Encodes a Chinese Fir RNase III–Like Protein Involved in Regulating Shoot Branching
by Xia Li, Qian Su, Renhua Zheng, Guangxin Liu, Ye Lu, Liming Bian, Jinhui Chen and Jisen Shi
Int. J. Mol. Sci. 2015, 16(10), 25691-25710; https://doi.org/10.3390/ijms161025691 - 26 Oct 2015
Cited by 4 | Viewed by 6534
Abstract
Identification of genes controlling shoot branching is crucial for improving plant architecture and increasing crop yield or biomass. A branching mutant of Chinese fir named “Dugansha” (Cunninghamia lanceolata var. dugan.) has been isolated in our laboratory. We chose the cDNA-AFLP technique [...] Read more.
Identification of genes controlling shoot branching is crucial for improving plant architecture and increasing crop yield or biomass. A branching mutant of Chinese fir named “Dugansha” (Cunninghamia lanceolata var. dugan.) has been isolated in our laboratory. We chose the cDNA-AFLP technique and an effective strategy to screen genes that potentially regulate shoot branching in Chinese fir using this mutant. An RNase III-like1 cDNA fragment named ClRTL1 was identified as a potential positive regulator. To investigate the function of ClRTL1 in regulating shoot branching, we cloned the full-length cDNA sequence from C. lanceolata (Lamb.) Hook, deduced its secondary structure and function, and overexpressed the coding sequence in Arabidopsis. The ClRTL1 cDNA is 1045 bp and comprises an open reading frame of 705 bp. It encodes a protein of 235 amino acids. The deduced secondary structure of the ClRTL1 indicates that it is a mini-RNase III-like protein. The expression analysis and phenotypes of 35S: ClRTL1 in A. thaliana implies that ClRTL1 plays a role in promoting shoot branching in Chinese fir. Full article
(This article belongs to the Special Issue Molecular Research in Plant Secondary Metabolism 2015)
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<p>Phenotypes of the Chinese fir mutant line “Dugansha” and the respective wild-type No. 020. (<b>a</b>) Six-year-old tree of the Chinese fir elite genotype No. 020 (wild type), H (Height) 10.5 m, DBH (Diameter at breast height) 12 cm; (<b>b</b>) The Chinese fir mutant “Dugansha” (6 years old), H 3.0 m, DBH 2 cm; (<b>c</b>) Two-year-old cutting of the Chinese fir elite genotype No. 020 (wild type); (<b>d</b>) Two-year-old cutting of the Chinese fir mutant “Dugansha”; (<b>e</b>) Annual height growth (between the white dash-arrow bar) of “Dugansha”.</p>
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<p>Schematic structures of class I–IV RNase III proteins. Ec RNase III: <span class="html-italic">E. coli</span> RNase III, SWISS-PROT PROT P05797; Dm Drosha: <span class="html-italic">D. melanogaster</span> Drosha, SWISS-PROT Q9XYN5; Hs Dicer: <span class="html-italic">H. sapiens</span> Dicer, GenBank AB028449; Bsu mini-RNase III: <span class="html-italic">B. subtilis</span> mini-RNase III (SWISS-PRO C69742). Boxes with black back ground represent catalytic endonuclease domains (endo ND) and PAZ domains (PAZ); Boxes with white back ground represent dsRNA-binding domains (dsRBD) and N-terminal DEXH-box RNA helicase domains (Helicase).</p>
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<p>Differentially expressed cDNA fragments on a silver-stained cDNA-AFLP PAGE gel. (1) Primary SAMs of Chinese fir No. 020 that start elongation (are initiating AMs). The materials were obtained on 6 May; (2) Primary SAMs of Chinese fir No. 020 in un-elongation (before AMs initiation). The materials were obtained on 15 April 2009; (3) Primary SAMs of Chinese fir mutant “Dugansha”. The materials were obtained on 6 May 2009. Fragment “A”: Differentially expressed cDNA fragment that potentially regulate shoot branching positively Fragment “B”: Differentially expressed cDNA fragments that potentially regulate shoot branching negatively.</p>
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<p>Full length cDNA sequence and deduced protein sequence of Cl<span class="html-italic">RTL1</span>. ★: active site; #: metal binding site; *: dimerization interface.</p>
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<p>Alignment of the deduced amino acid sequence of Cl<span class="html-italic">RTL1</span> with four bacterial RNase III proteins. Amino acids corresponding to <span class="html-italic">A. aeolicus</span> (Aa) RNase III (PROTEIN DATA BANK 2NUE), <span class="html-italic">T. maritima</span> (Tm) RNase III (PROTEIN DATA BANK 10OW), <span class="html-italic">B. cereus</span> (Bce) mini-RNase III (PROTEIN DATA BANK 1U61), and <span class="html-italic">B. subtilis</span> (Bsu) mini-RNase III (SWISS-PRO C69742) are aligned with Cl<span class="html-italic">RTL1</span>. The secondary structures are indicated with shading, as follows: α1–α10, α-helix are shaded in red; and β1–β3, β-sheet are shaded in yellow; the catalytic, dsRNA binding, and linker domains are depicted above the sequence alignment in green, purple, and pink, respectively; the positions of RBM1–4 are shown. Catalytic residues are indicated by #. The key catalytic residues, D44 and E110 (<span class="html-italic">A. aeolicus</span> numbering), are shown with red arrows; E40, D107, and E110, which play roles in Mg<sup>2+</sup> binding to RNase III, are shown with black arrows.</p>
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<p>Phylogenetic tree of Cl<span class="html-italic">RTL1</span> deduced protein with other numbers of the RNase III family. The phylogenetic tree was constructed using MEGA 6.0 with the Neighbor-Joining method, following CLUSTAL X. The number at each node presents the percentage of bootstrapping after 1000 replications. At: <span class="html-italic">A. thaliana</span>; Os: <span class="html-italic">O. sativa</span>; Sc: <span class="html-italic">Saccharomyces cerevisiae</span>; Sp: <span class="html-italic">Schizosaccharomyces pombe</span>; E.coli: <span class="html-italic">E. coli</span>; Aa: <span class="html-italic">A. aeolicus</span>; Tm: <span class="html-italic">T. Maritima</span>; Dm: <span class="html-italic">D. melanogaster</span>; H. sapiens: <span class="html-italic">H. sapiens</span>; Bce: <span class="html-italic">B. cereus</span>; Bsu: <span class="html-italic">B. subtilis</span>; Aet: <span class="html-italic">A. tauschii</span>; Tu; <span class="html-italic">T. urartu</span>; Cl: <span class="html-italic">C. lanceolata</span>; Mn: <span class="html-italic">M. notabilis</span>; Ga: <span class="html-italic">G. arboreum</span>; Gs: <span class="html-italic">G. soja</span>. Cl<span class="html-italic">RTL1</span> deduced protein was highlighted with a black box.</p>
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<p>Expression analysis of Cl<span class="html-italic">RTL1</span>. (<b>A</b>) Semi-quantitative expression analysis of Cl<span class="html-italic">RTL1</span> in three types of SAMs. (1) Primary SAMs of Chinese fir No. 020 that are initiating AMs. The materials were obtained on 6 May; (2) Primary SAMs of Chinese fir No. 020 before AMs initiation. The materials were obtained on 15 April; (3) Primary SAMs of Chinese fir mutant “Dugansha”. The materials were obtained on 6 May; (<b>B</b>) Expression analysis of Cl<span class="html-italic">RTL1</span> in different tissues of Chinese fir. Real-time PCR was conducted using the cDNA of two-year-old Chinese fir as the template. Actin was used for normalization. The error bars indicate the standard deviation. Results were the mean of at least three biological replicates.</p>
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<p>The increased shoot branching phenotypes of 35S<span class="html-italic">:</span> Cl<span class="html-italic">RTL1</span> seedlings. (<b>A</b>) 35S<span class="html-italic">:</span> Cl<span class="html-italic">RTL1</span> seedlings showing increased shoot branching (at four weeks after transplanting) Col-0: wild type <span class="html-italic">A. thaliana</span> (ecotype Columbia). Heterozygous 35S<span class="html-italic">:</span> Cl<span class="html-italic">RTL1</span> seedlings which showed a higher number of cauline branches than wild-type plants. Homozygous 35S<span class="html-italic">:</span> Cl<span class="html-italic">RTL1</span> seedlings which showed more severe phenotype with significantly higher numbers of cauline branches and rosette branches than wild-type plants; (<b>B</b>) Quantitative analysis of the secondary shoot development in 35S: Cl<span class="html-italic">RTL1</span> seedlings. Rosette branches and cauline branches were counted at four weeks after transplanting. Error bars represent the standard errors of the means: <span class="html-italic">n</span> = 10–20. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. Col-0: wild-type <span class="html-italic">A. thaliana</span> (ecotype Columbia); Heterozygotes: Heterozygous 35S: Cl<span class="html-italic">RTL1 A. thaliana</span> seedlings; Homozygotes: Homozygous 35S: Cl<span class="html-italic">RTL1 A. thaliana</span> seedlings.</p>
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2151 KiB  
Article
The Effect of Interferon-γ and Zoledronate Treatment on Alpha-Tricalcium Phosphate/Collagen Sponge-Mediated Bone-Tissue Engineering
by Peiqi Li, Yoshiya Hashimoto, Yoshitomo Honda, Yoshiyuki Arima and Naoyuki Matsumoto
Int. J. Mol. Sci. 2015, 16(10), 25678-25690; https://doi.org/10.3390/ijms161025678 - 26 Oct 2015
Cited by 9 | Viewed by 6335
Abstract
Inflammatory responses are frequently associated with the expression of inflammatory cytokines and severe osteoclastogenesis, which significantly affect the efficacy of biomaterials. Recent findings have suggested that interferon (IFN)-γ and zoledronate (Zol) are effective inhibitors of osteoclastogenesis. However, little is known regarding the utility [...] Read more.
Inflammatory responses are frequently associated with the expression of inflammatory cytokines and severe osteoclastogenesis, which significantly affect the efficacy of biomaterials. Recent findings have suggested that interferon (IFN)-γ and zoledronate (Zol) are effective inhibitors of osteoclastogenesis. However, little is known regarding the utility of IFN-γ and Zol in bone tissue engineering. In this study, we generated rat models by generating critically sized defects in calvarias implanted with an alpha-tricalcium phosphate/collagen sponge (α-TCP/CS). At four weeks post-implantation, the rats were divided into IFN-γ, Zol, and control (no treatment) groups. Compared with the control group, the IFN-γ and Zol groups showed remarkable attenuation of severe osteoclastogenesis, leading to a significant enhancement in bone mass. Histomorphometric data and mRNA expression patterns in IFN-γ and Zol-injected rats reflected high bone-turnover with increased bone formation, a reduction in osteoclast numbers, and tumor necrosis factor-α expression. Our results demonstrated that the administration of IFN-γ and Zol enhanced bone regeneration of α-TCP/CS implants by enhancing bone formation, while hampering excess bone resorption. Full article
(This article belongs to the Special Issue Biomaterials for Tissue Engineering)
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<p>Alpha-tricalcium phosphate (α-TCP)/collagen sponge (CS) material observations and measurements. (<b>a</b>) Visual image of an α-TCP/CS; (<b>b</b>) SEM image of an α-TCP/CS. The white asterisk is overlaid on a collagen fiber, and the white arrows point to an α-TCP particle; (<b>c</b>) FTIR spectra recordings of an α-TCP powder, an α-TCP/CS; and a CS (<b>d</b>) XRD patterns of α-TCP/CS particles, α-TCP particles, and a CS.</p>
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<p><span class="html-italic">In vivo</span> models generated with critically sized defects in rat calvarias filled with α-TCP/CS material. (<b>a</b>) After four weeks, rats were administered interferon (IFN)-γ, and bone regeneration was compared with that occurring in no-drug-treated control rats and zoledronate (Zol)-injected rats; (<b>b</b>) Micro-computed tomography and bone-mineral density (BMD) images of rat calvarias defects. Scale bars = 10 mm (long bars) or 2 mm (short bars); (<b>c</b>) Post-operative bone volumes/tissue volumes (BV/TV) and BMDs were measured each week. The data shown represent the mean ± standard deviation (SD; <span class="html-italic">n</span> = 4). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 (Tukey–Kramer method).</p>
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<p>Bone-turnover capacities of material implants following drug treatment. (<b>a</b>) Von Kossa staining. Brown staining represents bone tissue, and white arrows show the α-TCP/CS particles in the bone defect. Broken squares represent the magnified areas; (<b>b</b>) Alkaline phosphatase (ALP) staining. Black staining represents ALP-positive tissue; (<b>c</b>) <span class="html-italic">Alp</span> mRNA expression in bone defects. Data show the mean ± SD (<span class="html-italic">n</span> = 4). <sup>#</sup> Control <span class="html-italic">vs.</span> IFN-γ; * Control <span class="html-italic">vs.</span> Zol; *<sup>,#</sup> <span class="html-italic">p</span> &lt; 0.05; **<sup>,##</sup> <span class="html-italic">p</span> &lt; 0.01 (Tukey–Kramer method); (<b>d</b>) Fluorescence labeling analysis. Calcein (blue staining: new bone growth at 4–6 weeks post-implantation) and tetracycline (green: new bone growth at 6–8 weeks) labeling of regenerative bone tissue in calvarial defects. Scale bars: von Kossa = 1.8 mm and 120 μm (magnified areas), ALP staining = 120 μm, fluorescence labeling = 100 μm; (<b>e</b>) Quantification of labeling fluorescence. The data show the mean ± SD (<span class="html-italic">n</span> = 4). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 (Tukey–Kramer method).</p>
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<p>Effect of Zol and IFN-γ administration on osteoclastogenesis and immune responses in defects treated with α-TCP/CS. (<b>a</b>) Tartrate-resistant acid phosphatase (TRAP) staining representing the presence of osteoclasts (TRAP-positive cells) in tissue sections; (<b>b</b>,<b>c</b>) Tumor necrosis factor alpha (TNF-α; purple) and receptor activator of nuclear factor-kappa B ligand (RANKL) expression (brown). Scale bars: 120 μm; (<b>d</b>) Expression of genes closely related to osteoclast differentiation and bone resorption (<span class="html-italic">Rankl</span>, <span class="html-italic">Tnf-</span>α, <span class="html-italic">Il-1</span>β, and <span class="html-italic">M-csf</span>). The data show the mean ± SD (<span class="html-italic">n</span> = 4). <sup>#</sup> Control <span class="html-italic">vs.</span> IFN-γ, * Control <span class="html-italic">vs.</span> Zol; *<sup>,#</sup> <span class="html-italic">p</span> &lt; 0.05, **<sup>,##</sup> <span class="html-italic">p</span> &lt; 0.01 (Tukey–Kramer method).</p>
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1856 KiB  
Article
De Novo Sequencing and Analysis of the Safflower Transcriptome to Discover Putative Genes Associated with Safflor Yellow in Carthamus tinctorius L.
by Xiuming Liu, Yuanyuan Dong, Na Yao, Yu Zhang, Nan Wang, Xiyan Cui, Xiaowei Li, Yanfang Wang, Fawei Wang, Jing Yang, Lili Guan, Linna Du, Haiyan Li and Xiaokun Li
Int. J. Mol. Sci. 2015, 16(10), 25657-25677; https://doi.org/10.3390/ijms161025657 - 26 Oct 2015
Cited by 26 | Viewed by 7944
Abstract
Safflower (Carthamus tinctorius L.), an important traditional Chinese medicine, is cultured widely for its pharmacological effects, but little is known regarding the genes related to the metabolic regulation of the safflower’s yellow pigment. To investigate genes related to safflor yellow biosynthesis, 454 [...] Read more.
Safflower (Carthamus tinctorius L.), an important traditional Chinese medicine, is cultured widely for its pharmacological effects, but little is known regarding the genes related to the metabolic regulation of the safflower’s yellow pigment. To investigate genes related to safflor yellow biosynthesis, 454 pyrosequencing of flower RNA at different developmental stages was performed, generating large databases.In this study, we analyzed 454 sequencing data from different flowering stages in safflower. In total, 1,151,324 raw reads and 1,140,594 clean reads were produced, which were assembled into 51,591 unigenes with an average length of 679 bp and a maximum length of 5109 bp. Among the unigenes, 40,139 were in the early group, 39,768 were obtained from the full group and 28,316 were detected in both samples. With the threshold of “log2 ratio ≥ 1”, there were 34,464 differentially expressed genes, of which 18,043 were up-regulated and 16,421 were down-regulated in the early flower library. Based on the annotations of the unigenes, 281 pathways were predicted. We selected 12 putative genes and analyzed their expression levels using quantitative real time-PCR. The results were consistent with the 454 sequencing results. In addition, the expression of chalcone synthase, chalcone isomerase and anthocyanidin synthase, which are involved in safflor yellow biosynthesis and safflower yellow pigment (SYP) content, were analyzed in different flowering periods, indicating that their expression levels were related to SYP synthesis. Moreover, to further confirm the results of the 454 pyrosequencing, full-length cDNA of chalcone isomerase (CHI) and anthocyanidin synthase (ANS) were cloned from safflower petal by RACE (Rapid-amplification of cDNA ends) method according to fragment of the transcriptome. Full article
(This article belongs to the Special Issue Plant Molecular Biology)
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<p>Safflower flower phenotypes in different flowering stages. (<b>A</b>) early stage after flowering; and (<b>B</b>) full stage after flowering.</p>
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<p>Length distribution of the safflower unigenes. The longest unigene was 5109 bp, and the average length of the unigenes was 679 bp.</p>
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<p>Safflower flowering gene expression statistics. The red represents genes that express in the early stage, and the blue represents genes that express in the full stage.</p>
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<p>The scatter of expressed genes in the early and full flowering stages of safflower. The blue dots represent genes that are not differentially expressed, and the red and green dots represent up-regulated and down-regulated genes, respectively. (<b>A</b>) Correlation between expression in the early and full flowering stages of safflower; (<b>B</b>) Gene expression level in the early and full flowering stages of safflower.</p>
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<p>Gene ontology (GO) annotation of all safflower unigenes. There are 26 functional annotations in biological.</p>
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<p>Clusters of orthologous groups (COG) classification. The safflower unigenes are classified into different functional groups based on the predicted proteins.</p>
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<p>Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways mapped in the safflower transcriptome. The 51,591 unigenes are annotated to 281 KEGG pathways.</p>
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<p>qRT-PCR validation of selected safflower unigenes. The qRT-PCR data are presented as the mean value of three repeats. “454” indicates the value of the unigene in 454 pyrosequencing. “Early” indicates the early flowering stage and “full” indicates the full flowering stage. Error bars indicate the standard deviation of the mean value of each stage.</p>
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<p>The metabolic pathways for safflor yellow biosynthesis. Blue circles indicate the important enzymes that were focused on in flavonoid biosynthesis. The red boxes represent up-regulation, and the green boxes represent down-regulation.</p>
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<p>Relationships among the relative expression levels of the three genes and the content of Safflower yellow pigments during flower development in different varieties. HY, Jihongyou var.; EH, Jihongerhao var.; bud, early, full and fade indicate the flowering stages; CHS, chalcone synthase; CHI, chalcone isomerase; and ANS, anthocyanidin synthase. Data were obtained from three biological replicates of three independent experiments and are means ± SE (<span class="html-italic">n</span> = 3).</p>
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<p>The amino acid sequence of chalcone isomerase (<span class="html-italic">CHI</span>) gene of safflower. It encoded 217 amino acids containing 654 bases.</p>
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<p>Phylogenetic tree of <span class="html-italic">CHI</span> gene from Safflower and other species. CHI gene in safflower has high homologywith <span class="html-italic">Ipomoea batatas</span>, <span class="html-italic">Agastache rugosa</span>, <span class="html-italic">Camellia nitidissima</span>, <span class="html-italic">Paeonia lactiflora</span> and <span class="html-italic">Canarium album</span><span class="html-italic">.</span></p>
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<p>The amino acid sequence of anthocyanidin synthase (<span class="html-italic">ANS</span>) gene of safflower. It encoded a polypeptide of 349 amino acids.</p>
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<p>Phylogenetic tree of <span class="html-italic">ANS</span> gene from Safflower and other species. <span class="html-italic">ANS</span> of Safflower has higher homology with other plants.</p>
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790 KiB  
Article
Theoretical Mechanistic and Kinetic Studies on Homogeneous Gas-Phase Formation of Polychlorinated Naphthalene from 2-Chlorophenol as Forerunner
by Fei Xu, Ruiming Zhang, Yunfeng Li, Qingzhu Zhang and Wenxing Wang
Int. J. Mol. Sci. 2015, 16(10), 25641-25656; https://doi.org/10.3390/ijms161025641 - 26 Oct 2015
Cited by 8 | Viewed by 5874
Abstract
Polychlorinated naphthalenes (PCNs) are dioxins-like compounds and are formed along with polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs) in thermal and combustion procedures. Chlorophenols (CPs) are the most important forerunners of PCNs. A comprehensive comprehension of PCN formation procedure from CPs [...] Read more.
Polychlorinated naphthalenes (PCNs) are dioxins-like compounds and are formed along with polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs) in thermal and combustion procedures. Chlorophenols (CPs) are the most important forerunners of PCNs. A comprehensive comprehension of PCN formation procedure from CPs is a precondition for reducing the discharge of PCNs. Experiments on the formation of PCNs from CPs have been hindered by PCN toxicity and short of precise detection methods for active intermediate radicals. In this work, PCN formation mechanism in gas-phase condition from 2-chlorophenol (2-CP) as forerunner was studied by quantum chemistry calculations. Numbers of energetically advantaged formation routes were proposed. The rate constants of key elementary steps were calculated over 600–1200 K using canonical variational transition-state theory (CVT) with small curvature tunneling contribution (SCT) method. This study illustrates formation of PCNs with one chlorine atom loss from 2-CP is preferred over that without chlorine atom loss. In comparison with formation of PCDFs from 2-CP, PCN products are less chlorinated and have lower formation potential. Full article
(This article belongs to the Section Physical Chemistry, Theoretical and Computational Chemistry)
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<p>The electron densities of <span class="html-italic">syn</span> and <span class="html-italic">anti</span> 2-CP. (<b>A</b>) <span class="html-italic">syn</span> 2-CP; (<b>B</b>) <span class="html-italic">anti</span> 2-CP. 2-CP: 2-chlorophenol.</p>
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<p>Chlorinated dihydrofulvalene formation routes embedded with the potential barriers Δ<span class="html-italic">E</span> (in kcal/mol) and reaction heats Δ<span class="html-italic">H</span> (in kcal/mol) from the 2-CP as forerunner at the MPWB1K/aug-cc-pVTZ//MPWB1K/6-31+G(d,p) level. Δ<span class="html-italic">H</span> is calculated at 0 K. IM: intermediate; TS: transition state.</p>
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<p>PCN formation routes embedded with the potential barriers Δ<span class="html-italic">E</span> (in kcal/mol) and reaction heats Δ<span class="html-italic">H</span> (in kcal/mol) from IM5 at the MPWB1K/aug-cc-pVTZ//MPWB1K/6-31+G(d,p) level. Δ<span class="html-italic">H</span> is calculated at 0 K. PCN: Polychlorinated naphthalene; MCN: monochlorinated naphthalene; DCN: dichlorinated naphthalene.</p>
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<p>PCN formation routes from IM5 proposed by Kim [<a href="#B21-ijms-16-25641" class="html-bibr">21</a>,<a href="#B22-ijms-16-25641" class="html-bibr">22</a>], starting with <span class="html-italic">H</span>-shift step. These routes are embedded with the potential barriers Δ<span class="html-italic">E</span> (in kcal/mol) and reaction heats Δ<span class="html-italic">H</span> (in kcal/mol) at the MPWB1K/aug-cc-pVTZ//MPWB1K/6-31+G(d,p) level. Δ<span class="html-italic">H</span> is calculated at 0 K.</p>
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<p>PCN formation routes embedded with the potential barriers Δ<span class="html-italic">E</span> (in kcal/mol) and reaction heats Δ<span class="html-italic">H</span> (in kcal/mol) from IM10 at the MPWB1K/aug-cc-pVTZ//MPWB1K/6-31+G(d,p) level. Δ<span class="html-italic">H</span> is calculated at 0 K.</p>
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<p>Arrhenius plot of the CVT/SCT rate constants in the temperature range of 600–1200 K for reaction of (<b>A</b>) IM24/IM25 → IM32 via TS34 and (<b>B</b>) IM5 + H → IM19 + H<sub>2</sub> via TS17. CVT: canonical variational transition-state theory; SCT: small curvature tunneling contribution.</p>
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1002 KiB  
Review
Perturbation of Brain Oscillations after Ischemic Stroke: A Potential Biomarker for Post-Stroke Function and Therapy
by Gratianne Rabiller, Ji-Wei He, Yasuo Nishijima, Aaron Wong and Jialing Liu
Int. J. Mol. Sci. 2015, 16(10), 25605-25640; https://doi.org/10.3390/ijms161025605 - 26 Oct 2015
Cited by 82 | Viewed by 9863
Abstract
Brain waves resonate from the generators of electrical current and propagate across brain regions with oscillation frequencies ranging from 0.05 to 500 Hz. The commonly observed oscillatory waves recorded by an electroencephalogram (EEG) in normal adult humans can be grouped into five main [...] Read more.
Brain waves resonate from the generators of electrical current and propagate across brain regions with oscillation frequencies ranging from 0.05 to 500 Hz. The commonly observed oscillatory waves recorded by an electroencephalogram (EEG) in normal adult humans can be grouped into five main categories according to the frequency and amplitude, namely δ (1–4 Hz, 20–200 μV), θ (4–8 Hz, 10 μV), α (8–12 Hz, 20–200 μV), β (12–30 Hz, 5–10 μV), and γ (30–80 Hz, low amplitude). Emerging evidence from experimental and human studies suggests that groups of function and behavior seem to be specifically associated with the presence of each oscillation band, although the complex relationship between oscillation frequency and function, as well as the interaction between brain oscillations, are far from clear. Changes of brain oscillation patterns have long been implicated in the diseases of the central nervous system including ischemic stroke, in which the reduction of cerebral blood flow as well as the progression of tissue damage have direct spatiotemporal effects on the power of several oscillatory bands and their interactions. This review summarizes the current knowledge in behavior and function associated with each brain oscillation, and also in the specific changes in brain electrical activities that correspond to the molecular events and functional alterations observed after experimental and human stroke. We provide the basis of the generations of brain oscillations and potential cellular and molecular mechanisms underlying stroke-induced perturbation. We will also discuss the implications of using brain oscillation patterns as biomarkers for the prediction of stroke outcome and therapeutic efficacy. Full article
(This article belongs to the Special Issue Neurological Injuries’ Monitoring, Tracking and Treatment)
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<p>Generation of extracellular voltage fields. Relationship between the polarity of surface potentials and the location of dendritic postsynaptic potentials. EPSP depolarizing cell membrane induces a local negative local field potential (- -) and a positive local field potential (+ +) far away from the source. EPSP can also induce negative or positive activity in the scalp depending on the cortical layers excited.</p>
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<p>Acute cortical ischemia induces a reduction in the hippocampal θ frequency and the θ/δ ratio. Extracellular recordings were performed using multisite silicon probes (A1X16-5mm-100-703, NeuroNexus Technologies) under urethane anesthesia for 2 h. Data from the channel located at the stratum lacunosum moleculare were used for the analysis based on the high signal-to-noise ratio of θ and low-γ oscillations at the molecular layer compared to other hippocampal layers. Experimental stroke was induced by a permanent occlusion of the left, distal MCA and temporary occlusion of the bilateral common carotid arteries (CCAs) for 60 min. An immediate transition to slow-wave sleep from θ state occurred after MCAO, followed by the return of the θ state after reperfusion. Reductions in θ frequency, θ/δ (T/D) ratio, and modulation index between θ and low γ (MI<sub>Low γ</sub>) and a decrease in low γ power were evident during some periods of occlusion and reperfusion. MI was computed based on Tort <span class="html-italic">et al</span>., (2010) with the band-pass filter set at 20–50 Hz [<a href="#B211-ijms-16-25605" class="html-bibr">211</a>], corresponding to the low-γ power modulated by the θ phase. Color: relative values of low-γ power or modulation index (warmer color reflects larger value). Black arrows: stroke onset at 30 min; orange arrows: start of the reperfusion of the bilateral common carotid arteries at 60 min after stroke. Blue line: Non-theta periods. Note: recording of the initial period after MCAO was temporarily interrupted due to ischemic surgery.</p>
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2824 KiB  
Review
The Role of Plant–Microbe Interactions and Their Exploitation for Phytoremediation of Air Pollutants
by Nele Weyens, Sofie Thijs, Robert Popek, Nele Witters, Arkadiusz Przybysz, Jordan Espenshade, Helena Gawronska, Jaco Vangronsveld and Stanislaw W. Gawronski
Int. J. Mol. Sci. 2015, 16(10), 25576-25604; https://doi.org/10.3390/ijms161025576 - 26 Oct 2015
Cited by 138 | Viewed by 23462
Abstract
Since air pollution has been linked to a plethora of human health problems, strategies to improve air quality are indispensable. Despite the complexity in composition of air pollution, phytoremediation was shown to be effective in cleaning air. Plants are known to scavenge significant [...] Read more.
Since air pollution has been linked to a plethora of human health problems, strategies to improve air quality are indispensable. Despite the complexity in composition of air pollution, phytoremediation was shown to be effective in cleaning air. Plants are known to scavenge significant amounts of air pollutants on their aboveground plant parts. Leaf fall and runoff lead to transfer of (part of) the adsorbed pollutants to the soil and rhizosphere below. After uptake in the roots and leaves, plants can metabolize, sequestrate and/or excrete air pollutants. In addition, plant-associated microorganisms play an important role by degrading, detoxifying or sequestrating the pollutants and by promoting plant growth. In this review, an overview of the available knowledge about the role and potential of plant–microbe interactions to improve indoor and outdoor air quality is provided. Most importantly, common air pollutants (particulate matter, volatile organic compounds and inorganic air pollutants) and their toxicity are described. For each of these pollutant types, a concise overview of the specific contributions of the plant and its microbiome is presented. To conclude, the state of the art and its related future challenges are presented. Full article
(This article belongs to the Special Issue Plant Microbe Interaction)
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<p>Schematic overview of phytoremediation of air pollution.</p>
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<p>A concise overview of the specific contributions of the plant and its microbiome to the phytoremediation of the different categories of air pollution (increasing effects are indicated with <span class="html-fig-inline" id="ijms-16-25576-i001"> <img alt="Ijms 16 25576 i001" src="/ijms/ijms-16-25576/article_deploy/html/images/ijms-16-25576-i001.png"/></span>).</p>
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1607 KiB  
Article
Novel Electrokinetic Microfluidic Detector for Evaluating Effectiveness of Microalgae Disinfection in Ship Ballast Water
by Myint Myint Maw, Junsheng Wang, Fabo Li, Jinhu Jiang, Younan Song and Xinxiang Pan
Int. J. Mol. Sci. 2015, 16(10), 25560-25575; https://doi.org/10.3390/ijms161025560 - 26 Oct 2015
Cited by 15 | Viewed by 5837
Abstract
Ship ballast water treatment methods face many technical challenges. The effectiveness of every treatment method usually is evaluated by using large scale equipment and a large volume of samples, which involves time-consuming, laborious, and complex operations. This paper reports the development of a [...] Read more.
Ship ballast water treatment methods face many technical challenges. The effectiveness of every treatment method usually is evaluated by using large scale equipment and a large volume of samples, which involves time-consuming, laborious, and complex operations. This paper reports the development of a novel, simple and fast platform of methodology in evaluating the efficiency and the best parameters for ballast water treatment systems, particularly in chemical disinfection. In this study, a microfluidic chip with six sample wells and a waste well was designed, where sample transportation was controlled by electrokinetic flow. The performance of this microfluidic platform was evaluated by detecting the disinfection of Dunaliella salina (D. salina) algae in ballast water treated by sodium hypochlorite (NaClO) solution. Light-induced chlorophyll fluorescence (LICF) intensity was used to determine the viability of microalgae cells in the system, which can be operated automatically with the dimension of the detector as small as 50 mm × 24 mm × 5 mm. The 40 µL volume of sample solution was used for each treatment condition test and the validity of detection can be accomplished within about five min. The results show that the viability of microalgae cells under different treatment conditions can be determined accurately and further optimal treatment conditions including concentrations of NaClO and treatment time can also be obtained. These results can provide accurate evaluation and optimal parameters for ballast water treatment methods. Full article
(This article belongs to the Special Issue Microalgal Biotechnology)
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<p>Fluorescence signal of <span class="html-italic">D. salina</span> after 6 min treatment with 3 mg/L of NaClO.</p>
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<p>Fluorescence signal of algae when treated approximately 12 min with 3 mg/L of NaClO.</p>
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<p>Graph of <span class="html-italic">D. salina</span> activity variation in accordance with the variation in concentrations of NaClO.</p>
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<p>Relative activity of <span class="html-italic">D. salina</span> varies with time with 3 mg/L of NaClO treatment.</p>
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<p>Diagram of system structure (the green dots represents the microalgae cells, the blue arrow represents the excitation light and the red arrow represents emitted chlorophyll fluorescence).</p>
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<p>Structure and dimensions of a microfluidic chip.</p>
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671 KiB  
Article
Non-Alcoholic Steatohepatitis (NASH): Risk Factors in Morbidly Obese Patients
by Alexandre Losekann, Antonio C. Weston, Angelo A. De Mattos, Cristiane V. Tovo, Luis A. De Carli, Marilia B. Espindola, Sergio R. Pioner and Gabriela P. Coral
Int. J. Mol. Sci. 2015, 16(10), 25552-25559; https://doi.org/10.3390/ijms161025552 - 23 Oct 2015
Cited by 25 | Viewed by 6302
Abstract
The aim was to investigate the prevalence of non-alcoholic steatohepatitis (NASH) and risk factors for hepatic fibrosis in morbidly obese patients submitted to bariatric surgery. This retrospective study recruited all patients submitted to bariatric surgery from January 2007 to December 2012 at a [...] Read more.
The aim was to investigate the prevalence of non-alcoholic steatohepatitis (NASH) and risk factors for hepatic fibrosis in morbidly obese patients submitted to bariatric surgery. This retrospective study recruited all patients submitted to bariatric surgery from January 2007 to December 2012 at a reference attendance center of Southern Brazil. Clinical and biochemical data were studied as a function of the histological findings of liver biopsies done during the surgery. Steatosis was present in 226 (90.4%) and NASH in 176 (70.4%) cases. The diagnosis of cirrhosis was established in four cases (1.6%) and fibrosis in 108 (43.2%). Risk factors associated with NASH at multivariate analysis were alanine aminotransferase (ALT) >1.5 times the upper limit of normal (ULN); glucose ≥ 126 mg/dL and triglycerides ≥ 150 mg/dL. All patients with ALT ≥1.5 times the ULN had NASH. When the presence of fibrosis was analyzed, ALT > 1.5 times the ULN and triglycerides ≥ 150 mg/dL were risk factors, furthermore, there was an increase of 1% in the prevalence of fibrosis for each year of age increase. Not only steatosis, but NASH is a frequent finding in MO patients. In the present study, ALT ≥ 1.5 times the ULN identifies all patients with NASH, this finding needs to be further validated in other studies. Moreover, the presence of fibrosis was associated with ALT, triglycerides and age, identifying a subset of patients with more severe disease. Full article
(This article belongs to the Special Issue Non-Alcoholic Fatty Liver Disease Research 2016)
1106 KiB  
Review
Cell Death Conversion under Hypoxic Condition in Tumor Development and Therapy
by Yu Qiu, Peng Li and Chunyan Ji
Int. J. Mol. Sci. 2015, 16(10), 25536-25551; https://doi.org/10.3390/ijms161025536 - 23 Oct 2015
Cited by 34 | Viewed by 9587
Abstract
Hypoxia, which is common during tumor progression, plays important roles in tumor biology. Failure in cell death in response to hypoxia contributes to progression and metastasis of tumors. On the one hand, the metabolic and oxidative stress following hypoxia could lead to cell [...] Read more.
Hypoxia, which is common during tumor progression, plays important roles in tumor biology. Failure in cell death in response to hypoxia contributes to progression and metastasis of tumors. On the one hand, the metabolic and oxidative stress following hypoxia could lead to cell death by triggering signal cascades, like LKB1/AMPK, PI3K/AKT/mTOR, and altering the levels of effective components, such as the Bcl-2 family, Atg and p62. On the other hand, hypoxia-induced autophagy can serve as a mechanism to turn over nutrients, so as to mitigate the adverse condition and then avoid cell death potentially. Due to the effective role of hypoxia, this review focuses on the crosstalk in cell death under hypoxia in tumor progression. Additionally, the illumination of cell death in hypoxia could shed light on the clinical applications of cell death targeted therapy. Full article
(This article belongs to the Section Biochemistry)
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<p>Mechanisms of hypoxia-induced autophagy and apoptosis resistance. In hypoxia, the rapid induction of the BH3-only proteins (BNIP3 and BNIP3L) displaces Beclin1 from Bcl-xL and Bcl-2, leading to autophagy. Additionally, the low affinity complexes, which consist of BNIP proteins and Bcl-XL or Bcl-2, fail to induce cell death. Hypoxia-induced autophagy can also be induced in an HIF-independent manner, which is mediated by AMPK. In addition, hypoxia modulates the expression levels of anti- and pro-apoptotic proteins, which then favor the apoptosis resistance.</p>
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<p>Interactions among apoptosis, autophagy and necroptosis under metabolic stress. Stimuli, like hypoxia, lead to metabolic stress and then ATP depletion, increased intracellular calcium and ROS. If protective signals, such as AMPK, are activated, cells could exploit autophagy as a strategy to survive; whereas cells that fail to sustain homeostasis undergo apoptosis. Stress-induced autophagy may also promote cell death by autophagic cell death or necroptosis. But the exact mechanism of the occurrence of autophagic cell death has not been figured out. The broad-spectrum caspase inhibitor zVAD-fmk shifts the balance from apoptosis towards necrosis/autophagy by inactivating caspase-8. Autophagy and necrotic cell death are interconnected by RIPKs and negative regulation by caspase-8. Autophagy could convert to necrotic cell death by inducing an increased level of ROS and PARP1 over-activation.</p>
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<p>Autophagy and apoptosis after anti-tumor therapy under hypoxia or autophagy inhibition. Induced autophagy can provide substrates, as well as maintain the functional pool of mitochondria. Stress was solved by autophagic flow, and some apoptosis was activated at first; however, if the saturation point were achieved after prolonged hypoxia, then apoptosis could be dominant. Under hypoxia, autophagy seems to be activated in a more efficient way, leading to magnification of the prosurvival role of autophagy, thereby promoting tumor progression. However, autophagy inhibition may push the cell fate decision from autophagy to apoptosis and exacerbate injury.</p>
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6512 KiB  
Article
Molecular Cloning and Characterization of DXS and DXR Genes in the Terpenoid Biosynthetic Pathway of Tripterygium wilfordii
by Yuru Tong, Ping Su, Yujun Zhao, Meng Zhang, Xiujuan Wang, Yujia Liu, Xianan Zhang, Wei Gao and Luqi Huang
Int. J. Mol. Sci. 2015, 16(10), 25516-25535; https://doi.org/10.3390/ijms161025516 - 23 Oct 2015
Cited by 62 | Viewed by 8282
Abstract
1-Deoxy-d-xylulose-5-phosphate synthase (DXS) and 1-deoxy-d-xylulose-5-phosphate reductoisomerase (DXR) genes are the key enzyme genes of terpenoid biosynthesis but still unknown in Tripterygium wilfordii Hook. f. Here, three full-length cDNA encoding DXS1, DXS2 and DXR were cloned from suspension cells of T. wilfordii with ORF [...] Read more.
1-Deoxy-d-xylulose-5-phosphate synthase (DXS) and 1-deoxy-d-xylulose-5-phosphate reductoisomerase (DXR) genes are the key enzyme genes of terpenoid biosynthesis but still unknown in Tripterygium wilfordii Hook. f. Here, three full-length cDNA encoding DXS1, DXS2 and DXR were cloned from suspension cells of T. wilfordii with ORF sizes of 2154 bp (TwDXS1, GenBank accession no.KM879187), 2148 bp (TwDXS2, GenBank accession no.KM879186), 1410 bp (TwDXR, GenBank accession no.KM879185). And, the TwDXS1, TwDXS2 and TwDXR were characterized by color complementation in lycopene accumulating strains of Escherichia coli, which indicated that they encoded functional proteins and promoted lycopene pathway flux. TwDXS1 and TwDXS2 are constitutively expressed in the roots, stems and leaves and the expression level showed an order of roots > stems > leaves. After the suspension cells were induced by methyl jasmonate, the mRNA expression level of TwDXS1, TwDXS2, and TwDXR increased, and triptophenolide was rapidly accumulated to 149.52 µg·g−1, a 5.88-fold increase compared with the control. So the TwDXS1, TwDXS2, and TwDXR could be important genes involved in terpenoid biosynthesis in Tripterygium wilfordii Hook. f. Full article
(This article belongs to the Special Issue Molecular Research in Plant Secondary Metabolism 2015)
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Figure 1

Figure 1
<p>Multiple alignments of TwDXS1 and TwDXS2 with other plant DXSs. A multiple alignment of <span class="html-italic">T. wilfordii</span> DXS with the DXS of other plants was analyzed on DNAMAN 8.0 and based on the following protein-sequence data: <span class="html-italic">Hevea brasiliensis</span> (BAF98289.1), <span class="html-italic">Chrysanthemum x morifolium</span> (BAE79547.1), <span class="html-italic">Salvia miltiorrhiza</span> (ACQ66107.1), <span class="html-italic">Arabidopsis thaliana</span> (NP_196699.1), <span class="html-italic">Pyrus x bretschneideri</span> (XP_009364235.1), <span class="html-italic">Jatropha curcas</span> (XP_012076628.1), <span class="html-italic">Fragaria vesca</span> (XP_011459218.1), <span class="html-italic">Nelumbo nucifera</span> (XP_010254310.1). Dark blue: identity = 100%; red: 75% ≤ identity &lt; 100%; light blue: 50% ≤ identity ≤ 75%. The functional conserved site Glu was marked with a red triangle.</p>
Full article ">Figure 1 Cont.
<p>Multiple alignments of TwDXS1 and TwDXS2 with other plant DXSs. A multiple alignment of <span class="html-italic">T. wilfordii</span> DXS with the DXS of other plants was analyzed on DNAMAN 8.0 and based on the following protein-sequence data: <span class="html-italic">Hevea brasiliensis</span> (BAF98289.1), <span class="html-italic">Chrysanthemum x morifolium</span> (BAE79547.1), <span class="html-italic">Salvia miltiorrhiza</span> (ACQ66107.1), <span class="html-italic">Arabidopsis thaliana</span> (NP_196699.1), <span class="html-italic">Pyrus x bretschneideri</span> (XP_009364235.1), <span class="html-italic">Jatropha curcas</span> (XP_012076628.1), <span class="html-italic">Fragaria vesca</span> (XP_011459218.1), <span class="html-italic">Nelumbo nucifera</span> (XP_010254310.1). Dark blue: identity = 100%; red: 75% ≤ identity &lt; 100%; light blue: 50% ≤ identity ≤ 75%. The functional conserved site Glu was marked with a red triangle.</p>
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<p>Multiple alignments of TwDXR with other plant DXRs. A multiple alignment of <span class="html-italic">T. wilfordii</span> DXR with the DXR of other plants was analyzed on DNAMAN 8.0 and based on the following protein-sequence data: <span class="html-italic">Tripterygium wilfordii</span> (AHW46302.1), <span class="html-italic">Rosa rugosa</span> (AEZ53171.1), <span class="html-italic">Arabidopsis thaliana</span> (AED97657.1), <span class="html-italic">Solanum lycopersicum</span> (NP_001234553.1), <span class="html-italic">Hevea brasiliensis</span> (ABD92702.1), <span class="html-italic">Croton stellatopilosus</span> (ABO38177.1), and <span class="html-italic">Populus trichocarpa</span> (XP_002318048.2). Dark blue boxes stand for identical residues; pink boxes stand for homologous residues. Dark blue: identity = 100%; red: 75% ≤ identity &lt; 100%; light blue: 50% ≤ identity ≤ 75%.</p>
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<p>Phylogenetic analysis of the amino acid sequences of <span class="html-italic">DXSs</span> (<b>A</b>) and <span class="html-italic">DXRs</span> (<b>B</b>). The Neighbor-Joining phylogenetic trees were constructed using the bootstrap method on MEGA 5.1 and the number of Bootstrap replications was 1000. The protein sequences used in these trees are as follows: (<b>A</b>) <span class="html-italic">DXS</span>: <span class="html-italic">Alpinia officinarum</span> 1 (AEK69518.1), <span class="html-italic">Alpinia officinarum</span> 2 (AEK69519.1), <span class="html-italic">Medicago truncatula</span> 1 (CAD22530.1), <span class="html-italic">Medicago truncatula</span> 2 (CAD22531.1), <span class="html-italic">Pinus taeda</span> 1 (ACJ67021.1), <span class="html-italic">Pinus taeda</span> 2 (ACJ67020.1), <span class="html-italic">Catharanthus roseus</span> 1 (ABI35993.1), <span class="html-italic">Catharanthus roseus</span> 2 (AGL40532.1), <span class="html-italic">Jatropha curcas</span> (XP_012076628.1), <span class="html-italic">Fragaria vesca</span> subsp. <span class="html-italic">Vesca</span> (XP_011459218.1), <span class="html-italic">Nelumbo nucifera</span> (XP_010254310.1), <span class="html-italic">Escherichia coli</span> (AIZ85961.1), <span class="html-italic">Colwellia psychrerythraea</span> (KGJ90592.1); (<b>B</b>) <span class="html-italic">DXR</span>: <span class="html-italic">Tripterygium wilfordii</span> (AHW46302.1), <span class="html-italic">Rosa rugosa</span> (AEZ53171.1), <span class="html-italic">Arabidopsis thaliana</span> (AED97657.1), <span class="html-italic">Solanum lycopersicum</span> (NP_001234553.1), <span class="html-italic">Amomum villosum</span> (ACS26204.1), <span class="html-italic">Zea mays</span> (ACG33012.1), <span class="html-italic">Hevea brasiliensis</span> (ABD92702.1), <span class="html-italic">Haematococcus pluvialis</span> (AEY80027.1), <span class="html-italic">Taxus x media</span> (AAU87836.1), <span class="html-italic">Pinus taeda</span> (ACJ67022.1), <span class="html-italic">Plagiochasma appendiculatum</span> (AFM78686.1), <span class="html-italic">Dendrobium officinale</span> (AGT29340.1), <span class="html-italic">Alpinia officinarum</span> (AEK69520.1).</p>
Full article ">Figure 3 Cont.
<p>Phylogenetic analysis of the amino acid sequences of <span class="html-italic">DXSs</span> (<b>A</b>) and <span class="html-italic">DXRs</span> (<b>B</b>). The Neighbor-Joining phylogenetic trees were constructed using the bootstrap method on MEGA 5.1 and the number of Bootstrap replications was 1000. The protein sequences used in these trees are as follows: (<b>A</b>) <span class="html-italic">DXS</span>: <span class="html-italic">Alpinia officinarum</span> 1 (AEK69518.1), <span class="html-italic">Alpinia officinarum</span> 2 (AEK69519.1), <span class="html-italic">Medicago truncatula</span> 1 (CAD22530.1), <span class="html-italic">Medicago truncatula</span> 2 (CAD22531.1), <span class="html-italic">Pinus taeda</span> 1 (ACJ67021.1), <span class="html-italic">Pinus taeda</span> 2 (ACJ67020.1), <span class="html-italic">Catharanthus roseus</span> 1 (ABI35993.1), <span class="html-italic">Catharanthus roseus</span> 2 (AGL40532.1), <span class="html-italic">Jatropha curcas</span> (XP_012076628.1), <span class="html-italic">Fragaria vesca</span> subsp. <span class="html-italic">Vesca</span> (XP_011459218.1), <span class="html-italic">Nelumbo nucifera</span> (XP_010254310.1), <span class="html-italic">Escherichia coli</span> (AIZ85961.1), <span class="html-italic">Colwellia psychrerythraea</span> (KGJ90592.1); (<b>B</b>) <span class="html-italic">DXR</span>: <span class="html-italic">Tripterygium wilfordii</span> (AHW46302.1), <span class="html-italic">Rosa rugosa</span> (AEZ53171.1), <span class="html-italic">Arabidopsis thaliana</span> (AED97657.1), <span class="html-italic">Solanum lycopersicum</span> (NP_001234553.1), <span class="html-italic">Amomum villosum</span> (ACS26204.1), <span class="html-italic">Zea mays</span> (ACG33012.1), <span class="html-italic">Hevea brasiliensis</span> (ABD92702.1), <span class="html-italic">Haematococcus pluvialis</span> (AEY80027.1), <span class="html-italic">Taxus x media</span> (AAU87836.1), <span class="html-italic">Pinus taeda</span> (ACJ67022.1), <span class="html-italic">Plagiochasma appendiculatum</span> (AFM78686.1), <span class="html-italic">Dendrobium officinale</span> (AGT29340.1), <span class="html-italic">Alpinia officinarum</span> (AEK69520.1).</p>
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<p>Functional identification of <span class="html-italic">TwDXS1</span>, <span class="html-italic">TwDXS2</span>, and <span class="html-italic">TwDXR</span> in <span class="html-italic">E. coli</span> Trans1-Blue cells. The pTrc-<span class="html-italic">TwDXS1</span> (S1), pTrc-<span class="html-italic">TwDXS2</span> (S2) and pTrc-<span class="html-italic">TwDXR</span> (R) were respectively co-transformed into the <span class="html-italic">E. coli Trans</span>1-Blue cells with pAC-LYC. Single transformation of pAC-LYC was used as C1. The <span class="html-italic">E. coli</span> cells with pTrc and pAC-LYC were treated as C2. All of them were co-cultured in the LB medium with 150 mg·L<sup>−1</sup> Ap and 50 mg·L<sup>−1</sup> Chl.</p>
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<p>Expression patterns of <span class="html-italic">TwDXS1</span> and <span class="html-italic">TwDXS2</span> in different tissues of <span class="html-italic">T. wilfordii</span> aseptic seedling. The data represented the average of four independent experiments each carried out in triplicate; the error bars showed standard deviations. The asterisks indicated that the difference is significant compared with leaf (<b>**</b> <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Expression of <span class="html-italic">TwDXS1</span> (<b>A</b>); <span class="html-italic">TwDXS2</span> (<b>B</b>) and <span class="html-italic">TwDXR</span> (<b>C</b>) in <span class="html-italic">T. wilfordii</span> suspension cells after MeJA induction. The data represented the average of four independent experiments each carried out in triplicate; the error bars showed standard deviations. MeJA: methyl jasmonate treated group; CK: untreated control group.</p>
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<p>Triptophenolide contents in <span class="html-italic">T.wilfordii</span> suspension cells after treatment with MeJA. The data represented the average of four independent experiments each carried out in triplicate; the error bars showed standard deviations.</p>
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1268 KiB  
Article
The Fab Fragment of a Humanized Anti-Toll Like Receptor 4 (TLR4) Monoclonal Antibody Reduces the Lipopolysaccharide Response via TLR4 in Mouse Macrophage
by Binggang Cai, Maorong Wang, Xuhui Zhu, Jing Xu, Wenkai Zheng, Yiqing Zhang, Feng Zheng, Zhenqing Feng and Jin Zhu
Int. J. Mol. Sci. 2015, 16(10), 25502-25515; https://doi.org/10.3390/ijms161025502 - 23 Oct 2015
Cited by 17 | Viewed by 6872
Abstract
Lipopolysaccharides (LPS) can induce acute inflammation, sepsis, or chronic inflammatory disorders through the Toll receptor 4 (TLR4) signaling pathway. The TLR4/MD2 (myeloid differentiation protein 2) complex plays a major role in the immune response to LPS. However, there is not a good method [...] Read more.
Lipopolysaccharides (LPS) can induce acute inflammation, sepsis, or chronic inflammatory disorders through the Toll receptor 4 (TLR4) signaling pathway. The TLR4/MD2 (myeloid differentiation protein 2) complex plays a major role in the immune response to LPS. However, there is not a good method to suppress the immune response induced by LPS via this complex in macrophages. In this article, we aimed to evaluate the effects of humanized anti-TLR4 monoclonal antibodies on LPS-induced responses in mouse macrophages. The peritoneal macrophages of mice were incubated with anti-TLR4 monoclonal antibodies and stimulated with LPS. The expression levels of cytokines were analyzed by quantitative polymerase chain reaction and enzyme-linked immunosorbent assays. Additionally, activation of various signaling pathways was evaluated by Western blotting. The results showed that the humanized anti-TLR4 monoclonal antibody blocked the inflammatory cytokines expression at both the mRNA and protein level. We also found that the Fab fragment significantly inhibited the nuclear factor kappaB signaling pathway by reducing the phosphorylation of the inhibitor of kappaBalpha and decreasing the translocation of p65, resulting in the suppression of p38, extracellular signal-regulated kinase 1/2, c-Jun N-terminal kinase 1/2, and IFN-β regulatory factor 3 phosphorylation. Therefore, our study showed that this humanized anti-TLR4 monoclonal antibody could effectively protect against LPS-induced responses by blocking the TLR4 signaling pathway in mouse peritoneal macrophages. Full article
(This article belongs to the Section Molecular Recognition)
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<p>Detection of the purified antibody by plyacrylamide gelelectrophoresis. Lane a: lysate of induced recombinant vector; lane b: the purified Fab; lane c: supernatant of sonicated lysate after purification; lane M: protein marker.</p>
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<p>Affinity of anti-TLR4 antibody Fab to TLR4 measured by flow cytometry. (<b>A</b>) Blank; (<b>B</b>) Without Fab antibody treatment group; (<b>C</b>) Fab antibody treatment group. UL: upper left; UR: upper right; FITC: fluorescein isothiocyanate.</p>
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<p>Concentration of humanized anti-TLR4 antibody Fab with effective inhibitory effect on lipopolysaccharides (LPS)-stimulated macrophages. (<b>A</b>,<b>B</b>) Effects of different concentration of the antibody on inhibition of TNF-α (<b>A</b>) and IFN-β (<b>B</b>) expression induced by LPS (1 µg/mL) in mouse macrophages; (<b>C</b>,<b>D</b>) Effects of different concentration of the antibody on inhibition of TNF-α (<b>C</b>) and IFN-β (<b>D</b>) expression induced by LPS (100 ng/mL) in mouse macrophages; (<b>E</b>,<b>F</b>) Effects of different concentration of the antibody on inhibition of TNF-α (<b>E</b>) and IFN-β (<b>F</b>) expression induced by LPS (10 ng/mL) in mouse macrophages. The expressions of TNF-α, IFN-β were measured by Q-PCR. L: LPS; A: humanized anti-TLR4 antibody. Data are shown as mean ± SD of pooled results of three independent experiments (* <span class="html-italic">p</span> &lt; 0.05 compared to LPS group).</p>
Full article ">Figure 3 Cont.
<p>Concentration of humanized anti-TLR4 antibody Fab with effective inhibitory effect on lipopolysaccharides (LPS)-stimulated macrophages. (<b>A</b>,<b>B</b>) Effects of different concentration of the antibody on inhibition of TNF-α (<b>A</b>) and IFN-β (<b>B</b>) expression induced by LPS (1 µg/mL) in mouse macrophages; (<b>C</b>,<b>D</b>) Effects of different concentration of the antibody on inhibition of TNF-α (<b>C</b>) and IFN-β (<b>D</b>) expression induced by LPS (100 ng/mL) in mouse macrophages; (<b>E</b>,<b>F</b>) Effects of different concentration of the antibody on inhibition of TNF-α (<b>E</b>) and IFN-β (<b>F</b>) expression induced by LPS (10 ng/mL) in mouse macrophages. The expressions of TNF-α, IFN-β were measured by Q-PCR. L: LPS; A: humanized anti-TLR4 antibody. Data are shown as mean ± SD of pooled results of three independent experiments (* <span class="html-italic">p</span> &lt; 0.05 compared to LPS group).</p>
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<p>Inhibitory effect of Fab on cytokine transcription in LPS-stimulated mouse macrophages. Humanized anti-TLR4 antibody Fab inhibits the cytokine transcription, including TNF-α (<b>A</b>); IFN-β (<b>B</b>); IL-6 (<b>C</b>); IL-1 (<b>D</b>), in mouse macrophages stimulated by LPS. Mouse macrophages were treated with humanized anti-TLR4 antibody for 2 h, and then stimulated with 1 µg/mL LPS for 4, 8, or 12 h. After stimulation the cells were collected, and TNF-α, IFN-β, IL-1, IL-6 were measured by Q-PCR. L: LPS; A: humanized anti-TLR4 antibody. Data are shown as mean ± SD (<span class="html-italic">n</span> = 6, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 compared to LPS group).</p>
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<p>Inhibitory effect of humanized anti-TLR4 antibody Fab on cytokine expression in cell culture supernatant of LPS-stimulated mouse macrophages. (<b>A</b>–<b>D</b>) represent levels of TNF-α, IFN-β, IL-1, IL-6 in mouse macrophage culture supernatant determined by ELISA analysis. L: LPS; A: humanized anti-TLR4 antibody. Data are shown as mean ± SD (<span class="html-italic">n</span> = 3, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 compare to LPS group).</p>
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<p>Western blot analysis for inhibition of LPS-induced NF-κB activation by humanized anti-TLR4 Fab. Cells were pretreated with humanized anti-TLR4 antibody for 2 h and further incubated in presence or absence of LPS (1 µg/mL). After immunoblotting, the phosphorylation levels of IKK, IκB, p65 were identified using phosphor-specific antibodies. β-Actin was used to ensure equal loading. L: LPS, A: humanized anti-TLR4 antibody. Data are shown as mean ± SD (<span class="html-italic">n</span> = 3, ** <span class="html-italic">p</span> &lt; 0.01 compare to LPS group).</p>
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<p>Western blot analysis for inhibition of LPS-induced NF-κB activation by humanized anti-TLR4 Fab. Cells were pretreated with humanized anti-TLR4 antibody for 2 h and further incubated in presence or absence of LPS (1 µg/mL). After immunoblotting, the phosphorylation levels of IKK, IκB, p65 were identified using phosphor-specific antibodies. β-Actin was used to ensure equal loading. L: LPS, A: humanized anti-TLR4 antibody. Data are shown as mean ± SD (<span class="html-italic">n</span> = 3, ** <span class="html-italic">p</span> &lt; 0.01 compare to LPS group).</p>
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<p>Western blot analysis for inhibition of MAPK activation by humanized anti-TLR4 antibody Fab. Cells were pretreated with humanized anti-TLR4 antibody for 2 h and further incubated in presence or absence of LPS (1 µg/mL). After immunoblotting, the phosphorylation levels of ERK1/2, JNK1/2, p38 were identified using phosphor-specific antibodies. β-Actin was used to ensure equal loading. L: LPS, A: humanized anti-TLR4 antibody. Data are shown as mean ± SD (<span class="html-italic">n</span> = 3, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 <span class="html-italic">versus</span> LPS group).</p>
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<p>Western blot analysis for inhibition of IRF-3 activation by humanized anti-TLR4 antibody Fab. Cells were pretreated with humanized anti-TLR4 antibody for 2 h and further incubated in presence or absence of LPS (1 µg/mL). After immunoblotting, the phosphorylation level of IRF-3 was identified using phosphor-specific antibody. β-Actin was used to ensure equal loading. L: LPS, A: humanized anti-TLR4 antibody. Data are shown as mean ± SD (<span class="html-italic">n</span> = 3, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 <span class="html-italic">versus</span> LPS group).</p>
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736 KiB  
Review
Stem Cells in Skin Regeneration, Wound Healing, and Their Clinical Applications
by Nkemcho Ojeh, Irena Pastar, Marjana Tomic-Canic and Olivera Stojadinovic
Int. J. Mol. Sci. 2015, 16(10), 25476-25501; https://doi.org/10.3390/ijms161025476 - 23 Oct 2015
Cited by 224 | Viewed by 18839
Abstract
The skin is the largest organ of the body and has an array of functions. Skin compartments, epidermis, and hair follicles house stem cells that are indispensable for skin homeostasis and regeneration. These stem cells also contribute to wound repair, resulting in restoration [...] Read more.
The skin is the largest organ of the body and has an array of functions. Skin compartments, epidermis, and hair follicles house stem cells that are indispensable for skin homeostasis and regeneration. These stem cells also contribute to wound repair, resulting in restoration of tissue integrity and function of damaged tissue. Unsuccessful wound healing processes often lead to non-healing wounds. Chronic wounds are caused by depletion of stem cells and a variety of other cellular and molecular mechanisms, many of which are still poorly understood. Current chronic wound therapies are limited, so the search to develop better therapeutic strategies is ongoing. Adult stem cells are gaining recognition as potential candidates for numerous skin pathologies. In this review, we will discuss epidermal and other stem cells present in the skin, and highlight some of the therapeutic applications of epidermal stem cells and other adult stem cells as tools for cell/scaffold-based therapies for non-healing wounds and other skin disorders. We will also discuss emerging concepts and offer some perspectives on how skin tissue-engineered products can be optimized to provide efficacious therapy in cutaneous repair and regeneration. Full article
(This article belongs to the Special Issue Molecular Research of Epidermal Stem Cells 2015)
1030 KiB  
Article
Photodynamic Therapy (PDT) with Chemotherapy for Advanced Lung Cancer with Airway Stenosis
by Masakazu Kimura, Kuniharu Miyajima, Masakazu Kojika, Takafumi Kono and Harubumi Kato
Int. J. Mol. Sci. 2015, 16(10), 25466-25475; https://doi.org/10.3390/ijms161025466 - 23 Oct 2015
Cited by 63 | Viewed by 8524
Abstract
Intractable advanced lung cancer can be treated palliatively with photodynamic therapy (PDT) combined with chemotherapy to remove central and peripheral (lobar or segmental bronchi) bronchial stenosis and obstruction. We present data for 12 (eight men, four women) consecutive patients with 13 advanced non-small [...] Read more.
Intractable advanced lung cancer can be treated palliatively with photodynamic therapy (PDT) combined with chemotherapy to remove central and peripheral (lobar or segmental bronchi) bronchial stenosis and obstruction. We present data for 12 (eight men, four women) consecutive patients with 13 advanced non-small cell lung carcinomas in whom curative operations were contraindicated, who underwent PDT combined with chemotherapy for local control of the intraluminal lesions. The mean age was 73.3 years (range, 58–80 years), and the stages of cancer were IIA–IV. The median stenosis rates before treatment, one week post-treatment, and one month post-treatment were 60% (range, 30%–100%), 15% (range, 15%–99%), and 15% (range 15%–60%), respectively. The mean and median survival times were 9.3 and 5.9 months, respectively. The overall 1-year survival rate was 30.0%. No PDT-related morbidity or mortality occurred. In this single-institution study, all patients experienced improved symptoms and quality of life at one week after treatment; furthermore, an objective response was evidenced by the substantial increase in the openings of the bronchial lumen and prevention of obstructive pneumonia. Therefore, PDT with chemotherapy was useful and safe for the treatment of bronchial obstruction. Full article
(This article belongs to the Special Issue Advances in Photodynamic Therapy)
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<p>Bronchoscopic appearance of case 1 (<b>A</b>) before photodynamic therapy (PDT), when squamous cell carcinoma can be seen in the left upper lobe bronchus (left B1 and B2); (<b>B</b>) during photodynamic diagnosis (PDD) with the SAFE-3000 before PDT; (<b>C</b>) immediately after PDT; and (<b>D</b>) 1 month after PDT (left B1 and B2 are visible).</p>
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<p>Bronchoscopic appearance (<b>A</b>) before photodynamic therapy (PDT) in case 2; (<b>B</b>) after PDT in case 2; (<b>C</b>) before PDT in case 12; (<b>D</b>) after PDT in case 12.</p>
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<p>Bronchoscopic appearance (<b>A</b>) before photodynamic therapy (PDT) in case 2; (<b>B</b>) after PDT in case 2; (<b>C</b>) before PDT in case 12; (<b>D</b>) after PDT in case 12.</p>
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<p>Significant improvement in the median airway stenosis rate 1 week (<span class="html-italic">p</span> = 0.0003) and 1 month (<span class="html-italic">p</span> = 0.0016) after photodynamic therapy (PDT), compared with before surgery.</p>
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<p>Survival curve for cases of advanced lung cancer with airway stenosis, as measured from the time of photodynamic therapy (PDT), the mean survival time (MST) was 177.5 days.</p>
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2310 KiB  
Article
TP53inp1 Gene Is Implicated in Early Radiation Response in Human Fibroblast Cells
by Nikolett Sándor, Boglárka Schilling-Tóth, Enikő Kis, Lili Fodor, Fruzsina Mucsányi, Géza Sáfrány and Hargita Hegyesi
Int. J. Mol. Sci. 2015, 16(10), 25450-25465; https://doi.org/10.3390/ijms161025450 - 23 Oct 2015
Cited by 11 | Viewed by 7518
Abstract
Tumor protein 53-induced nuclear protein-1 (TP53inp1) is expressed by activation via p53 and p73. The purpose of our study was to investigate the role of TP53inp1 in response of fibroblasts to ionizing radiation. γ-Ray radiation dose-dependently induces the expression of TP53inp1 [...] Read more.
Tumor protein 53-induced nuclear protein-1 (TP53inp1) is expressed by activation via p53 and p73. The purpose of our study was to investigate the role of TP53inp1 in response of fibroblasts to ionizing radiation. γ-Ray radiation dose-dependently induces the expression of TP53inp1 in human immortalized fibroblast (F11hT) cells. Stable silencing of TP53inp1 was done via lentiviral transfection of shRNA in F11hT cells. After irradiation the clonogenic survival of TP53inp1 knockdown (F11hT-shTP) cells was compared to cells transfected with non-targeting (NT) shRNA. Radiation-induced senescence was measured by SA-β-Gal staining and autophagy was detected by Acridine Orange dye and microtubule-associated protein-1 light chain 3 (LC3B) immunostaining. The expression of TP53inp1, GDF-15, and CDKN1A and alterations in radiation induced mitochondrial DNA deletions were evaluated by qPCR. TP53inp1 was required for radiation (IR) induced maximal elevation of CDKN1A and GDF-15 expressions. Mitochondrial DNA deletions were increased and autophagy was deregulated following irradiation in the absence of TP53inp1. Finally, we showed that silencing of TP53inp1 enhances the radiation sensitivity of fibroblast cells. These data suggest functional roles for TP53inp1 in radiation-induced autophagy and survival. Taken together, we suppose that silencing of TP53inp1 leads radiation induced autophagy impairment and induces accumulation of damaged mitochondria in primary human fibroblasts. Full article
(This article belongs to the Collection Radiation Toxicity in Cells)
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<p>Dose-dependent expression of <span class="html-italic">TP53inp1</span> in immortalized human fibroblast cells (F11hT). Relative gene expression was measured by qPCR with the delta-delta cycle threshold (ΔΔ<span class="html-italic">C</span><sub>t</sub>) method as described in the Experimental Section. The data are derived from at least three independent experiments, and error bars show SEM of the mean. Gene expression in the F11hT cells is expressed in comparison with the sham-irradiated fibroblasts cells (calibrators), in which levels of expression are regarded as a level of one. Cells were harvested 2 h after γ-irradiation. One-way ANOVA was used for analysis. (<b>*</b> <span class="html-italic">p</span> &lt; 0.05, <b>***</b> <span class="html-italic">p</span> &lt; 0.001).</p>
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<p><span class="html-italic">TP53inp1</span> gene silencing in F11hT-NT and F11hT-shTP cells. (<b>A</b>) Values were calculated by qPCR with the ΔΔCT method. Data are given from at least four experiments, and error bars show SEM of the mean. Gene expression in the F11hT-shTP cells is compared with the sham-irradiated F11ht-NT cells, where the expression is fixed as a level of one. Statistical analysis was performed using one-way ANOVA-test (<b>*</b> <span class="html-italic">p</span> &lt; 0.05, <b>***</b> <span class="html-italic">p</span> &lt; 0.001). (<b>B</b>) Irradiation induces expression of <span class="html-italic">TP53inp1</span>. <span class="html-italic">TP53inp1</span> protein level was detected by Western blot at 24h post-irradiation with 2 and 6 Gy and normalized to Histone-H3. Expression of <span class="html-italic">TP53inp1</span> protein was significantly lower in <span class="html-italic">TP53inp1</span> silenced F11hT-shTP cells as compared to the F11hT-NT cells. Densitometric analysis of the bands, relative to Histone-H3, was performed using ImageJ softwer (<a href="http://imagej.nih.gov/ij/" target="_blank">http://imagej.nih.gov/ij/</a>).</p>
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<p>Radiation survival curve of the F11hT-NT and F11hT-shTP cell lines. On the <b>left</b> panel quantitative analysis is shown. Data are based on at least six independent experiments, and error bars represent SEM of the mean survival following exposure to 0, 0.1, 2, and 4 Gy γ-radiation. SF% was calculated according to the following formula: SF% = (PE of treated sample/PE control sample) X 100. PE: plating efficiency. Welch’s test was used for statistical evaluation (<b>*</b> <span class="html-italic">p</span> &lt; 0.05); The <b>right</b> panel shows representative Coomassie BB stained colonies. For the colony-forming assay, 1500 cells were seeded on 10 cm diameter Petri dishes and irradiated with 0.1-, 2-, and 4 Gy γ-rays. The upper series are representing the F11hT-NT fibroblasts, while the lower panel shows the F11hT-shTP cells.</p>
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<p>The effect of <span class="html-italic">TP53inp1</span> silencing on the formation of radiation-induced autophagic vacuoles. (<b>A</b>) Quantitation of autophagic vacuoles shows a significant increase in the 6 Gy treated groups as compared to the sham irradiated F11hT-NT cells (<b>*</b> <span class="html-italic">p</span> value &lt; 0.5). Silencing of <span class="html-italic">TP53inp1</span> is resulted significantly less autophagosome in 6 Gy-exposed F11hT-shTP cells (<b>*</b> <span class="html-italic">p</span> value &lt; 0.5). Two days after irradiation, cells were treated with Acridine Orange dye and red (autophagosome) puncta were counted from minimum eight cover slips (<span class="html-italic">n</span> ≥ 8) under fluorescent microscope. White arrowheads denote the autophagic vacuoles. Results were analyzed with One-way ANOVA; (<b>B</b>) fluorescence photomicrograps obtained after Acridine Orange staining. Control cells (0 Gy) showing a few cytoplasmic AV formation, the number of AV increased in irradiated F11hT-NT cells and, to a lesser extent, in F11hT-shTP cells; (<b>C</b>) Representative flow cytometry plots are demonstrative of LC3B intracellular staining in response to 6 Gy exposures. Dot plot analysis is derived from the non-gated cell population. Flow cytometry analysis of F11hT-NT and F11hT-shTP cells using LC3B Antibody (Sigma, St. Louis, MI, USA) compared to a nonspecific isotype control antibody. Acquisition of 10,000 events was collected and for analysis the CellQuest software (BD Biosciences, San Jose, CA, USA) was used; (<b>D</b>) Representative flow cytometry histograms of percent LC3B-positive fibroblast are shown at right. Labeling of LC3B-positive cells at 48 h in F11hT-NT cells (right, top graph) and F11hT-shTP cells (right, bottom graph) after irradiation are graphed.</p>
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<p>The effect of <span class="html-italic">TP53inp1</span> silencing on the formation of radiation-induced autophagic vacuoles. (<b>A</b>) Quantitation of autophagic vacuoles shows a significant increase in the 6 Gy treated groups as compared to the sham irradiated F11hT-NT cells (<b>*</b> <span class="html-italic">p</span> value &lt; 0.5). Silencing of <span class="html-italic">TP53inp1</span> is resulted significantly less autophagosome in 6 Gy-exposed F11hT-shTP cells (<b>*</b> <span class="html-italic">p</span> value &lt; 0.5). Two days after irradiation, cells were treated with Acridine Orange dye and red (autophagosome) puncta were counted from minimum eight cover slips (<span class="html-italic">n</span> ≥ 8) under fluorescent microscope. White arrowheads denote the autophagic vacuoles. Results were analyzed with One-way ANOVA; (<b>B</b>) fluorescence photomicrograps obtained after Acridine Orange staining. Control cells (0 Gy) showing a few cytoplasmic AV formation, the number of AV increased in irradiated F11hT-NT cells and, to a lesser extent, in F11hT-shTP cells; (<b>C</b>) Representative flow cytometry plots are demonstrative of LC3B intracellular staining in response to 6 Gy exposures. Dot plot analysis is derived from the non-gated cell population. Flow cytometry analysis of F11hT-NT and F11hT-shTP cells using LC3B Antibody (Sigma, St. Louis, MI, USA) compared to a nonspecific isotype control antibody. Acquisition of 10,000 events was collected and for analysis the CellQuest software (BD Biosciences, San Jose, CA, USA) was used; (<b>D</b>) Representative flow cytometry histograms of percent LC3B-positive fibroblast are shown at right. Labeling of LC3B-positive cells at 48 h in F11hT-NT cells (right, top graph) and F11hT-shTP cells (right, bottom graph) after irradiation are graphed.</p>
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<p>Effect of <span class="html-italic">TP53inp1</span> silencing on the accumulation of CD (common deletion) in the mitochondrial genome. Dose-dependent increase of mitochondrial common DNA deletions was compared in irradiated F11hT-NT and F11hT-shTP cells by qPCR. The mean ± SEM of at least three independent experiments are shown. Changes in the relative amount of CD were measured 72 h after the γ-irradiation. The mean ± SEM data derived from at least three experiments. Statistically significant changes calculated with One-way ANOVA are labeled as <b>*</b> <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>(<b>A</b>) Effect of <span class="html-italic">TP53inp1</span> silencing on radiation induced senescence. Senescence associated-β-galactosidase positive F11hT-NT and F11hT-shTP cells was measured six days after exposure to a single dose of 6 Gy irradiation. Data presented are means ± SEM, <span class="html-italic">n</span> = 9 from three separate experiments. Statistical analysis was performed with one-way ANOVA followed by a Bonferroni post-test. A statistically significant difference <span class="html-italic">p</span> &lt; 0.05 (<b>*</b>) is indicated; (<b>B</b>) Representative pictures of human fibroblasts (F11hT-NT) and <span class="html-italic">TP53inp1</span> silenced fibroblasts (F11hT-shTP) were irradiated with 6Gy and stained with SA-βGal. The sham irradiated control shows exiguous staining, while the 6 Gy irradiated samples are powerfully stained. (Photo: Zeiss Axioskop2plus microscope, 100× magnification; Olympus Camedia camera; 3× optical zoom).</p>
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<p><span class="html-italic">TP53inp1</span> silencing alters expression of IR–induced p53 targets. Graphs show relative transcript expression of <span class="html-italic">CDKN1A</span> in (<b>A</b>) panel GDF-15 and in (<b>B</b>) panel, as quantified by qPCR in F11hT-NT and F11hT-shTP fibroblasts without treatment and after 2 Gy γ ray exposure for 2 h (<b>*</b> and <b>**</b> are <span class="html-italic">p</span> &lt; 0.05 and 0.01 compared with treated F11hT-NT and F11hT-shTP cells, respectively). Target transcript expression was normalized by the corresponding mean of housekeeping GAPDH and β-Actin values. Data are means of triplicates ± SEM. Statistically significant changes calculated with One-way ANOVA are labelled as <b>*</b> <span class="html-italic">p</span> &lt; 0.05.</p>
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909 KiB  
Article
Characterization of Peripheral Immune Cell Subsets in Patients with Acute and Chronic Cerebrovascular Disease: A Case-Control Study
by Peter Kraft, Christiane Drechsler, Michael K. Schuhmann, Ignaz Gunreben and Christoph Kleinschnitz
Int. J. Mol. Sci. 2015, 16(10), 25433-25449; https://doi.org/10.3390/ijms161025433 - 23 Oct 2015
Cited by 7 | Viewed by 5657
Abstract
Immune cells (IC) play a crucial role in murine stroke pathophysiology. However, data are limited on the role of these cells in ischemic stroke in humans. We therefore aimed to characterize and compare peripheral IC subsets in patients with acute ischemic stroke/transient ischemic [...] Read more.
Immune cells (IC) play a crucial role in murine stroke pathophysiology. However, data are limited on the role of these cells in ischemic stroke in humans. We therefore aimed to characterize and compare peripheral IC subsets in patients with acute ischemic stroke/transient ischemic attack (AIS/TIA), chronic cerebrovascular disease (CCD) and healthy volunteers (HV). We conducted a case-control study of patients with AIS/TIA (n = 116) or CCD (n = 117), and HV (n = 104) who were enrolled at the University Hospital Würzburg from 2010 to 2013. We determined the expression and quantity of IC subsets in the three study groups and performed correlation analyses with demographic and clinical parameters. The quantity of several IC subsets differed between the AIS/TIA, CCD, and HV groups. Several clinical and demographic variables independently predicted the quantity of IC subsets in patients with AIS/TIA. No significant changes in the quantity of IC subsets occurred within the first three days after AIS/TIA. Overall, these findings strengthen the evidence for a pathophysiologic role of IC in human ischemic stroke and the potential use of IC-based biomarkers for the prediction of stroke risk. A comprehensive description of IC kinetics is crucial to enable the design of targeted treatment strategies. Full article
(This article belongs to the Special Issue The Immune System and Inflammation in Cerebral Ischemia)
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<p>Numbers or fractions of important immune cell subsets in acute ischemic stroke (AIS)/transitory ischemic attack (TIA), chronic cerebrovascular disease (CCD), and healthy volunteers (HV). The number of leukocytes, neutrophils, lymphocytes, monocytes, CD4<sup>+</sup>CD8<sup>−</sup>, CD8<sup>+</sup>CD4<sup>−</sup>, and FoxP3 regulatory T cells (T<sub>reg</sub>) are depicted in box-and-whisker plots indicating the first and third quartiles as well as the 1.5 interquartile range (IQR, Tukey plot). Outliers that lie outside the 1.5 IQR are represented by single dots. The numbers of leukocytes, neutrophils, lymphocytes and FoxP3<sup>+</sup> T<sub>reg</sub> differed significantly between the three groups, as determined by analysis of variance with Bonferroni <span class="html-italic">post</span> <span class="html-italic">hoc</span> test, <b>***</b> <span class="html-italic">p</span> &lt; 0.001, <b>*</b> <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Numbers or fractions of important immune cell subsets in acute ischemic stroke (AIS)/transitory ischemic attack (TIA), chronic cerebrovascular disease (CCD), and healthy volunteers (HV). The number of leukocytes, neutrophils, lymphocytes, monocytes, CD4<sup>+</sup>CD8<sup>−</sup>, CD8<sup>+</sup>CD4<sup>−</sup>, and FoxP3 regulatory T cells (T<sub>reg</sub>) are depicted in box-and-whisker plots indicating the first and third quartiles as well as the 1.5 interquartile range (IQR, Tukey plot). Outliers that lie outside the 1.5 IQR are represented by single dots. The numbers of leukocytes, neutrophils, lymphocytes and FoxP3<sup>+</sup> T<sub>reg</sub> differed significantly between the three groups, as determined by analysis of variance with Bonferroni <span class="html-italic">post</span> <span class="html-italic">hoc</span> test, <b>***</b> <span class="html-italic">p</span> &lt; 0.001, <b>*</b> <span class="html-italic">p</span> &lt; 0.05.</p>
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Review
Changes in Regenerative Capacity through Lifespan
by Maximina H. Yun
Int. J. Mol. Sci. 2015, 16(10), 25392-25432; https://doi.org/10.3390/ijms161025392 - 23 Oct 2015
Cited by 122 | Viewed by 17117
Abstract
Most organisms experience changes in regenerative abilities through their lifespan. During aging, numerous tissues exhibit a progressive decline in homeostasis and regeneration that results in tissue degeneration, malfunction and pathology. The mechanisms responsible for this decay are both cell intrinsic, such as cellular [...] Read more.
Most organisms experience changes in regenerative abilities through their lifespan. During aging, numerous tissues exhibit a progressive decline in homeostasis and regeneration that results in tissue degeneration, malfunction and pathology. The mechanisms responsible for this decay are both cell intrinsic, such as cellular senescence, as well as cell-extrinsic, such as changes in the regenerative environment. Understanding how these mechanisms impact on regenerative processes is essential to devise therapeutic approaches to improve tissue regeneration and extend healthspan. This review offers an overview of how regenerative abilities change through lifespan in various organisms, the factors that underlie such changes and the avenues for therapeutic intervention. It focuses on established models of mammalian regeneration as well as on models in which regenerative abilities do not decline with age, as these can deliver valuable insights for our understanding of the interplay between regeneration and aging. Full article
(This article belongs to the Special Issue Molecular and Cellular Basis of Regeneration and Tissue Repair)
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<p>Variation in regenerative capacity through phylogeny, ontogeny and aging. * Note that the ability to regenerate the indicated systems is present in most other animal groups; ** Lens regeneration is observed throughout lifespan in newts, but it can only occur during a limited developmental window in axolotls.</p>
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<p>Regeneration of complex structures in classic regeneration models. (<b>A</b>) Regeneration of a hydra polyp following amputation across the body stalk. Regeneration takes place through mobilisation and activation of multipotent endodermal and ectodermal stem cell populations; (<b>B</b>) Regeneration of a planarian flatworm following bisection. This process takes place through recruitment of pluripotent stem cells, termed “neoblasts”, which are present throughout the animal and carry out tissue maintenance functions. A single clonogenic neoblast is capable of regenerating an entire organism; (<b>C</b>) Regeneration of the zebrafish fin. Upon amputation of the fin, differentiated cells at the amputation plane undergo dedifferentiation and proliferate to form a pool of progenitors called a blastema, which will then undergo growth and redifferentiation into the new fin tissues; (<b>D</b>) Salamander limb regeneration depends, as in the zebrafish case, on the dedifferentiation of mature cells from the tissues at the amputation plane. Unlike the zebrafish fin, which grows continuously, salamander regeneration takes place in the context of mature adult tissues. Both in zebrafish and salamanders, the dedifferentiation process generates progenitors of limited potential, which can only regenerate their tissues of origin. The wound epithelium, nerve supply and macrophages are critical components of the regenerating niche, without which regeneration cannot proceed. Adapted from Brockes <span class="html-italic">et al.</span> [<a href="#B48-ijms-16-25392" class="html-bibr">48</a>].</p>
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<p>Factors that alter regenerative capacity upon aging. Multiple cell-intrinsic and cell-extrinsic factors are associated with the decline of regenerative capacity during aging (<b>left</b>). These impact on regenerative cell types by altering key cellular processes (<b>middle</b>), leading to various negative outcomes that result in regeneration impairment (<b>right</b>). * Cell senescence can be considered an intrinsic and, potentially, extrinsic factor (see <a href="#sec4-ijms-16-25392" class="html-sec">Section 4</a>).</p>
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<p>Impact of cellular senescence on regenerative processes during aging. Senescent cells accumulate in most organisms as they age, and this can negatively affect various regenerative processes. In the case of aged mammalian stem cells such as satellite cells (<b>A</b>), an age-associated switch to cellular senescence leads to loss of quiescence resulting in impaired regenerative ability; In addition to direct effects on regenerative capacity, senescent cells could promote tissue disruption, inflammation and niche or systemic alterations (<b>B</b>) through their phenotype (SASP), leading to further regenerative impairment; Senescent cell accumulation through aging can result from increases in stimuli that trigger cellular senescence (e.g., ROS, DNA damage, telomere attrition) or impairments in the immune-mediated clearance mechanism. In contrast to mammals, salamanders (<b>C</b>) have highly efficient mechanisms of senescence immunesurveillance which prevent senescent cell accumulation and could support their extensive regenerative abilities through lifespan.</p>
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<p>Therapeutic strategies for improving regenerative capacity.</p>
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Article
MicroRNA-214 and MicroRNA-126 Are Potential Biomarkers for Malignant Endothelial Proliferative Diseases
by Kazuki Heishima, Takashi Mori, Yukie Ichikawa, Hiroki Sakai, Yuki Kuranaga, Takayuki Nakagawa, Yuiko Tanaka, Yasuhiko Okamura, Mikio Masuzawa, Nobuhiko Sugito, Mami Murakami, Nami Yamada, Yukihiro Akao and Kohji Maruo
Int. J. Mol. Sci. 2015, 16(10), 25377-25391; https://doi.org/10.3390/ijms161025377 - 23 Oct 2015
Cited by 37 | Viewed by 7080
Abstract
Malignant endothelial proliferative diseases including human angiosarcoma (AS) and canine hemangiosarcoma (HSA) are serious diseases with a grave prognosis. Establishing liquid biopsy-based biomarkers for screening has definite clinical utility; however, plasma miRNAs up- or down-regulated in these sarcomas have been unclear. For identifying [...] Read more.
Malignant endothelial proliferative diseases including human angiosarcoma (AS) and canine hemangiosarcoma (HSA) are serious diseases with a grave prognosis. Establishing liquid biopsy-based biomarkers for screening has definite clinical utility; however, plasma miRNAs up- or down-regulated in these sarcomas have been unclear. For identifying possible diagnostic plasma miRNAs for these sarcomas, we investigated whether plasma miR-214 and miR-126, which miRNAs play important roles in angiogenesis and tumorigenesis, were elevated in malignant endothelial proliferative diseases. For this investigation, human angiosarcoma and canine hemangiosarcoma cell lines and clinical plasma samples of canine hemangiosarcoma were examined by performing miRNA qRT-PCR. We report here that human angiosarcoma and canine hemangiosarcoma cell lines over-secreted miR-214 and miR-126 via microvesicles; in addition, their levels in the plasma samples from canines with hemangiosarcoma were increased. Moreover, the surgical resection of primary tumors decreased the levels of plasma miR-214 and miR-126. Our findings suggest that these malignant endothelial proliferative diseases over-secreted miR-214 and miR-126, thus suggesting that these miRNAs have potential as diagnostic biomarkers for malignant endothelial proliferative diseases in canine and possible in human angiosarcoma. Full article
(This article belongs to the Special Issue MicroRNA in Various Disease States as Biomarkers)
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<p>AS and HSA cell lines over-secreted miR-214 and miR-126 via MVs. (<b>A</b>) Immunoblotting for MV-markers: CD63 and CD81. The nanoparticles from all cell lines expressed CD63 or CD81 although CD81 was absent or weakly detected in MVs derived from HAMON, CnAOEC, JuB2, and Re12. β-actin was used as a negative control for excluding contamination by cellular contents; (<b>B</b>) Nanoparticle tracking analysis for AS and HSA cell lines and control ECs. The peaks of MV diameters showed a range of 144–269 nm, indicating that AS, HSA cell lines and control ECs mostly secreted MVs having a diameter of over 100 nm; (<b>C</b>) Quantitative measurement of miR-214 and miR-126 in the MVs from the conditioned media from AS, HSA cell lines and control ECs. The levels of miR-214 were significantly increased in the conditioned media of AS and HSA cell lines compared with those for the control cell lines. The levels of miR-126 were also increased likewise, except in the case of ISO-HAS. The degree of increase in canine cell lines was dramatically higher than that in human cell lines. All data are presented as the mean of triplicate experiments with error bars indicating the s.e.m. (Unpaired two-tailed <span class="html-italic">t</span>-test; <b>*</b> <span class="html-italic">p</span> &lt; 0.05, <b>**</b> <span class="html-italic">p</span> &lt; 0.01 for comparisons with the levels of control cell lines).</p>
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<p>miR-16 was a suitable internal control for canine plasma miRNA analysis in this study. (<b>A</b>) Levels of <span class="html-italic">RNU6B</span>, <span class="html-italic">RNU19</span>, <span class="html-italic">RNU48</span>, miR-16, and miR-1228 in 6 cases (HSA, <span class="html-italic">n</span> = 2; Benign, <span class="html-italic">n</span> = 2; Control, <span class="html-italic">n</span> = 2), as determined by miRNA qRT-PCR. miR-16 was the most stable miRNA; (<b>B</b>) miR-16 expression in all samples used. miR-16 was stably detected in all samples. There were no significant differences among HSA, benign, and control groups (Steel-Dwass test).</p>
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<p>miR-214 and miR-126 was significantly increased in the plasma of HSA group. (<b>A</b>) Levels of miR-214 and miR-126 in the plasma of HSA, benign, and control groups. The levels of both miR-214 and miR-126 were significantly increased in the plasma from the HSA group compared with those for the benign and control groups; (<b>B</b>) Boxplots of the miR-214 and miR-126 levels in the plasma of HSA, benign, and control groups. The HSA group showed significantly increased levels of miR-214 and miR-126 (Steel-Dwass test; <b>**</b> <span class="html-italic">p</span> &lt; 0.01 for each comparison); (<b>C</b>) ROC curve analysis for the single use of miR-214 and miR-126. The AUC values of miR-214 and miR-126 were 0.9 and 0.9421, indicating the sensitivities and specificities were significantly high; (<b>D</b>) miR-214 and miR-126 showed similar profile patterns in the HSA group, which showed increased levels of both miR-214 and miR-126; (<b>E</b>) ROC curve analysis for the combination of miR-214 and miR-126. The AUC value was 0.9684, suggesting that the combination of miR-214 and miR-126 showed better accuracy than the single use of each miRNA.</p>
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<p>Clinical information about mass, anemia, and coagulopathy. (<b>A</b>) The clinical information of each case including the TNM classification (T.N.M.), stage, the count of mass, rupture, metastasis, hematocrit (Hct.), the severity of anemia, the state of disseminated intravascular coagulation (DIC), platelet (Plat.), fibrinogen (Fibn.), prothrombin time (PT), and activated partial thromboplastin time (APTT). The values of Hct. lower than 35% were considered as anemia and marked as red. The severity of anemia was determined based on the following criteria (Severity 1 = 30% to 35% of Hct., Severity 2 = 18% to 29% of Hct., Severity 3 = lower than 18% of Hct.). The values of Plat. lower than 100,000/μL were considered as thrombocytopenia and marked as red. The values of Fibn. lower than 150 mg/dL were considered as hypofibrinogenemia and marked as red. The values of PT longer than 10 s. and the values of APTT longer than 19 s. were considered as prolongation and marked as red. The cases were diagnosed as DIC (Pre-DIC) on the presence of together with three (two) of the following anomalies: thrombocytopenia, PT and/or APTT prolongation, and hypofibrinogenemia—considered as pre-DIC when two criteria; (<b>B</b>) The p-values regarding the differences of Hct., Plat., Fibn., PT, APTT, miR-214, and miR-126 between HSA and benign groups. There was no significant difference between HSA and benign group in the clinical conditions but in the levels of miR-214 and miR-126 (Mann-Whitney <span class="html-italic">U</span>-test); (<b>C</b>) The result of Pearson product-moment correlation coefficient. There was not any correlation between the levels of miRNAs and these clinical conditions.</p>
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<p>Surgical resection of the primary tumor decreased the levels of plasma miR-214 and miR-126. Surgical resection of primary tumor significantly decreased the levels of both miR-214 and miR-126 in two out of three cases shown. (Paired two-tailed <span class="html-italic">t</span>-test; <b>**</b> <span class="html-italic">p</span> &lt; 0.01 for comparisons with the levels of pre-operation samples).</p>
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2536 KiB  
Article
Structure-Functional Study of Tyrosine and Methionine Dipeptides: An Approach to Antioxidant Activity Prediction
by Anna Torkova, Olga Koroleva, Ekaterina Khrameeva, Tatyana Fedorova and Mikhail Tsentalovich
Int. J. Mol. Sci. 2015, 16(10), 25353-25376; https://doi.org/10.3390/ijms161025353 - 23 Oct 2015
Cited by 37 | Viewed by 5916
Abstract
Quantum chemical methods allow screening and prediction of peptide antioxidant activity on the basis of known experimental data. It can be used to design the selective proteolysis of protein sources in order to obtain products with antioxidant activity. Molecular geometry and electronic descriptors [...] Read more.
Quantum chemical methods allow screening and prediction of peptide antioxidant activity on the basis of known experimental data. It can be used to design the selective proteolysis of protein sources in order to obtain products with antioxidant activity. Molecular geometry and electronic descriptors of redox-active amino acids, as well as tyrosine and methionine-containing dipeptides, were studied by Density Functional Theory method. The calculated data was used to reveal several descriptors responsible for the antioxidant capacities of the model compounds based on their experimentally obtained antioxidant capacities against ABTS (2,2′-Azino-bis-(3-ethyl-benzothiazoline-6-sulfonate)) and peroxyl radical. A formula to predict antioxidant activity of peptides was proposed. Full article
(This article belongs to the Section Physical Chemistry, Theoretical and Computational Chemistry)
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<p>Antioxidant capacity of acetylated (Ac) and/or amidated (NH<sub>2</sub>) amino acids in TEAC (<b>a</b>) and ORAC (<b>b</b>) assays.</p>
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<p>Antioxidant capacity of tyrosine dipeptides in TEAC (<b>a</b>) and ORAC (<b>b</b>) assays. The red squares indicate peculiar behavior of dipeptides with ionogenic side chains.</p>
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<p>Mutual effects of redox-active amino acid residues on the antioxidant capacity of tyrosine dipeptides against the ABTS cation-radical (<b>a</b>) and the peroxyl radical (<b>b</b>).</p>
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<p>Antioxidant capacity of methionine dipeptides against peroxyl radical.</p>
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<p>Mutual effects of redox-active amino acid residues on the antioxidant capacity of methionine dipeptides against the ABTS cation-radical (<b>a</b>) and the peroxyl radical (<b>b</b>).</p>
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<p>Three-dimensional structures of the redox-active <span class="html-small-caps">l</span>-amino acids in the gas phase-Tyr (<b>a</b>); Trp (<b>b</b>); Cys (<b>c</b>); Met (<b>d</b>); His (<b>e</b>). The C atoms are shown as grey, H—white, O—red, N—blue, S—yellow.</p>
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<p>The structures of tyrosine-containing dipeptides in vacuum: Leu-Tyr (<b>a</b>); Cys-Tyr (<b>b</b>); Asp-Tyr (<b>c</b>); Thr-Tyr (<b>d</b>); Tyr-Asp (<b>e</b>); Lys-Tyr (<b>f</b>); Tyr-Lys (<b>g</b>). The C atoms are shown as grey, H—white, O—red, N—blue, S—yellow.</p>
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<p>Average Mulliken charge values on sulfur and carbon atoms of methionine residues at C-terminal (<b>a</b>) and N-terminal (<b>b</b>) position in dipeptides.</p>
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<p>The ionization potential (<b>a</b>); electronegativity (<b>b</b>) and electrophilicity (<b>c</b>) of the dipeptides with N- and C-terminal position of methionine residues in the gas phase at 298 K.</p>
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<p>Correlation analysis between the AOC values of methionine dipeptides against peroxyl radical and the values of their ionization potentials IPe (<b>a</b>); electronegativity χ (<b>b</b>) and electrophilicity ω (<b>c</b>).</p>
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<p>The mechanism of interaction of methionine with peroxyl radical.</p>
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<p>Ionization potential IPe (<b>a</b>), bond dissociation energy of phenolic O–H bond (<b>b</b>) and electronegativity (<b>c</b>) of N- and C-terminal tyrosine dipeptides in gas phase at 298 K.</p>
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Article
A Parallel Biological Optimization Algorithm to Solve the Unbalanced Assignment Problem Based on DNA Molecular Computing
by Zhaocai Wang, Jun Pu, Liling Cao and Jian Tan
Int. J. Mol. Sci. 2015, 16(10), 25338-25352; https://doi.org/10.3390/ijms161025338 - 23 Oct 2015
Cited by 16 | Viewed by 4421
Abstract
The unbalanced assignment problem (UAP) is to optimally resolve the problem of assigning n jobs to m individuals (m < n), such that minimum cost or maximum profit obtained. It is a vitally important Non-deterministic Polynomial (NP) complete problem in operation [...] Read more.
The unbalanced assignment problem (UAP) is to optimally resolve the problem of assigning n jobs to m individuals (m < n), such that minimum cost or maximum profit obtained. It is a vitally important Non-deterministic Polynomial (NP) complete problem in operation management and applied mathematics, having numerous real life applications. In this paper, we present a new parallel DNA algorithm for solving the unbalanced assignment problem using DNA molecular operations. We reasonably design flexible-length DNA strands representing different jobs and individuals, take appropriate steps, and get the solutions of the UAP in the proper length range and O(mn) time. We extend the application of DNA molecular operations and simultaneity to simplify the complexity of the computation. Full article
(This article belongs to the Section Physical Chemistry, Theoretical and Computational Chemistry)
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