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18 pages, 2698 KiB  
Article
ANT-Mediated Inhibition of the Permeability Transition Pore Alleviates Palmitate-Induced Mitochondrial Dysfunction and Lipotoxicity
by Natalia V. Belosludtseva, Anna I. Ilzorkina, Dmitriy A. Serov, Mikhail V. Dubinin, Eugeny Yu. Talanov, Maxim N. Karagyaur, Alexandra L. Primak, Jiankang Liu and Konstantin N. Belosludtsev
Biomolecules 2024, 14(9), 1159; https://doi.org/10.3390/biom14091159 (registering DOI) - 15 Sep 2024
Viewed by 141
Abstract
Hyperlipidemia is a major risk factor for vascular lesions in diabetes mellitus and other metabolic disorders, although its basis remains poorly understood. One of the key pathogenetic events in this condition is mitochondrial dysfunction associated with the opening of the mitochondrial permeability transition [...] Read more.
Hyperlipidemia is a major risk factor for vascular lesions in diabetes mellitus and other metabolic disorders, although its basis remains poorly understood. One of the key pathogenetic events in this condition is mitochondrial dysfunction associated with the opening of the mitochondrial permeability transition (MPT) pore, a drop in the membrane potential, and ROS overproduction. Here, we investigated the effects of bongkrekic acid and carboxyatractyloside, a potent blocker and activator of the MPT pore opening, respectively, acting through direct interaction with the adenine nucleotide translocator, on the progression of mitochondrial dysfunction in mouse primary lung endothelial cells exposed to elevated levels of palmitic acid. Palmitate treatment (0.75 mM palmitate/BSA for 6 days) resulted in an 80% decrease in the viability index of endothelial cells, which was accompanied by mitochondrial depolarization, ROS hyperproduction, and increased colocalization of mitochondria with lysosomes. Bongkrekic acid (25 µM) attenuated palmitate-induced lipotoxicity and all the signs of mitochondrial damage, including increased spontaneous formation of the MPT pore. In contrast, carboxyatractyloside (10 μM) stimulated cell death and failed to prevent the progression of mitochondrial dysfunction under hyperlipidemic stress conditions. Silencing of gene expression of the predominate isoform ANT2, similar to the action of carboxyatractyloside, led to increased ROS generation and cell death under conditions of palmitate-induced lipotoxicity in a stably transfected HEK293T cell line. Altogether, these results suggest that targeted manipulation of the permeability transition pore through inhibition of ANT may represent an alternative approach to alleviate mitochondrial dysfunction and cell death in cell culture models of fatty acid overload. Full article
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Figure 1

Figure 1
<p>Effect of bongkrekic acid (BA) and carboxyatractyloside (CAT) on the viability of mouse lung endotheliocytes under conditions of normo- (<b>A</b>) and hyperlipidemia (<b>B</b>). (<b>A</b>) Cells were treated with BA and CAT at different concentrations for 48 h, and the cell viability index was quantified. (<b>B</b>) Effect of 25 µM BA and 10 µM CAT on palmitate (PA)-induced lipotoxicity (0.75 mM PA/fatty acid-free BSA complex solution for 6 days) in the mouse lung endothelial cells. Data represent the mean ± SD from 3–4 independent experiments, including at least 25 fields of view.</p>
Full article ">Figure 2
<p>Effect of bongkrekic acid (BA, 25 µM) and carboxyatractyloside (CAT, 10 µM) on production of reactive oxygen species in mouse lung endothelial cells under conditions of palmitate lipotoxicity (0.75 mM PA/fatty acid-free BSA complex solution for 48 h). (<b>A</b>) DCF fluorescence level reflecting ROS production in the cell cytoplasm; (<b>B</b>) MitoSOX red fluorescence, reflecting the production of superoxide anion in the mitochondria. The addition of 10 μM antimycin A (AA), an inhibitor of the respiratory chain complex III, demonstrated the highest level of superoxide anion generation by mitochondria of mouse lung endothelial cells. Data represent the mean ± SD from 3–4 independent experiments, including at least 25 fields of view.</p>
Full article ">Figure 3
<p>Effect of bongkrekic acid (BA, 25 µM) and carboxyatractyloside (CAT, 10 µM) on mitochondrial membrane potential (Δψ) in mouse lung endothelial cells under conditions of palmitate-induced lipotoxicity (0.75 mM PA/fatty acid-free BSA complex solution for 48 h). Data represent the mean ± SD from four independent experiments.</p>
Full article ">Figure 4
<p>MPT pore opening in mouse lung endothelial cells. (<b>A</b>) Typical images of calcein fluorescence in the presence of CoCl<sub>2</sub> in endothelial cells of the experimental groups. Scale bar—25 μm. (<b>B</b>) Intensity of calcein fluorescence in mitochondria of the mouse lung endothelial cells from six experimental groups. Conditions: CTR—BSA solution, PA—0.75 mM palmitate/BSA complex solution. Data represent the mean ± SD from four independent experiments, including at least 25 fields of view.</p>
Full article ">Figure 5
<p>Effect of bongkrekic acid (25 µM) and carboxyatractyloside (10 µM) on the level of colocalization of mitochondria and lysosomes in endothelial cells during palmitate-induced lipotoxicity. (<b>A</b>) Typical fluorescence images of MitoTracker DeepRed FM (red dots) and LysoTracker Green (green dots) and their colocalization are shown. Scale bar—10 μm. (<b>B</b>) Number of mitochondria (%) colocalized with lysosomes in the mouse lung endotheliocytes from four experimental groups. Abbreviations used: BA, bongkrekic acid; CAT, carboxyatractyloside; PA, palmitic acid. Conditions: CTR—BSA solution, PA—0.75 mM palmitate/BSA complex solution. Data represent the mean ± SD from four independent experiments, including at least 10 fields of view.</p>
Full article ">Figure 6
<p>The amount of ANT2 protein in HEK293T cells with normal (WT) and decreased (ANT2-) expression of ANT2 (<b>A</b>). Survival of HEK293T cells with normal and reduced expression of ANT2 under conditions of palmitate PA-induced lipotoxicity (0.5 mM PA/fatty acid-free BSA complex solution for 6 days) (<b>B</b>). Conditions: 0—BSA solution, 0.5 PA—0.5 mM PA/BSA complex solution. Data represent the mean ± SD from four independent experiments, including at least 25 fields of view. Original images of (<b>A</b>) can be found in <a href="#app1-biomolecules-14-01159" class="html-app">supplementary materials (Figure S3)</a>.</p>
Full article ">Figure 7
<p>Changes in production of reactive oxygen species (<b>A</b>) and mitochondrial membrane potential (Δψ) (<b>B</b>) in HEK293T cells with normal (WT) and reduced (ANT2-) expression of ANT2 under conditions of PA-induced lipotoxicity (0.5 mM PA/fatty acid-free BSA complex solution for 48 h). Conditions: 0—BSA solution, 0.5 PA—0.5 mM palmitate/BSA complex solution. Data represent the mean ± SD from four independent experiments, including at least 25 fields of view.</p>
Full article ">Figure 8
<p>MPT pore opening in HEK293T cells with normal (WT) and reduced expression of ANT2 (ANT2-). Intensity of calcein fluorescence in HEK293T cell mitochondria from four experimental groups. Conditions: 0—BSA solution, PA—0.5 mM palmitate/BSA complex solution. Data represent the mean ± SD from 3–4 independent experiments, including at least 25 fields of view.</p>
Full article ">
18 pages, 2852 KiB  
Article
Effects of Caffeine, Zinc, and Their Combined Treatments on the Growth, Yield, Mineral Elements, and Polyphenols of Solanum lycopersicum L.
by Elena Vichi, Alessandra Francini, Andrea Raffaelli and Luca Sebastiani
Antioxidants 2024, 13(9), 1100; https://doi.org/10.3390/antiox13091100 - 11 Sep 2024
Viewed by 321
Abstract
(1) Background: The effects of Zn and caffeine as promoters of fruit quality in the Solanum lycopersicum L. cultivar ‘Panarea’ were tested. (2) Methods: During the 56 days of the experiment, plants were treated weekly with 100 mL of 1 mM Zn (Zn), [...] Read more.
(1) Background: The effects of Zn and caffeine as promoters of fruit quality in the Solanum lycopersicum L. cultivar ‘Panarea’ were tested. (2) Methods: During the 56 days of the experiment, plants were treated weekly with 100 mL of 1 mM Zn (Zn), 1 mg L−1 caffeine trimethyl-13C (caffeine), and 1 mM Zn + 1 mg L−1 caffeine trimethyl-13C (Zn + caffeine) and compared to plants that were given tap water (control). (3) Results: Caffeine was taken up by the roots and translocated to the leaves, which positively influenced the number of fruits per plant. After 56 days of treatment, Zn induced a positive increase in tomato dry weight, reducing shoot length (−16.7%) compared to the other treatments. Zn + caffeine had a positive effect on the phenylpropanoid pathway of fruits, and 4-coumaric acid, caffeic acid, and t-ferulic acid were significantly increased, as well as the total antioxidant capacity of the tomatoes. In the flavonoid pathway, only apigenin and luteolin contents were reduced by treatments. The tomatoes showed similar concentrations of the mineral elements Cu, Mn, Fe, Na, Ca, Mg, and K. The Zn and caffeine target hazard quotients were <1, indicating that health risks via the consumption of these tomatoes did not occur. (4) Conclusions: Tomato plants could be irrigated with water containing lower values of Zn, caffeine, and a combination of the two. The treated fruits are rich in antioxidant compounds, such as coumaric acid, caffeic acid, and t-ferulic acid, which are beneficial for human health. No considerable health risks associated with human consumption have been detected. Full article
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Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>(<b>a</b>) Overview of plants (<span class="html-italic">Solanum lycopersicum</span> cv ‘Panarea’) grown under greenhouse conditions; (<b>b</b>) tomato truss; and (<b>c</b>) stem length at 0, 32, 48, and 56 days of the experiment. Plants were treated with tap water (control), 0.136 mg L<sup>−1</sup> Zn (Zn), 1 mg L<sup>−1</sup> caffeine-(trimethyl-<sup>13</sup>C) (caffeine), and 1 mg L<sup>−1</sup> caffeine (trimethyl-<sup>13</sup>C) + 0.136 mg L<sup>−1</sup> Zn (Zn + caffeine). Data represent the mean ± SD (<span class="html-italic">n</span> = 7). The data followed a normal distribution and were subjected to two-way ANOVA, and the values indicated with different letters were significantly different from each other following Tukey’s post-hoc test, <span class="html-italic">p</span> ≤ 0.05 (<a href="#app1-antioxidants-13-01100" class="html-app">Supplementary Table S2</a>).</p>
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<p>Box plot representation of the effects of treatments with tap water (control), 0.136 mg L<sup>−1</sup> Zn (Zn), 1 mg L<sup>−1</sup> caffeine-(trimethyl-<sup>13</sup>C) (caffeine), and 1 mg L<sup>−1</sup> caffeine (trimethyl-<sup>13</sup>C) + 0.136 mg L<sup>−1</sup> Zn (Zn + caffeine) on the fruit of <span class="html-italic">Solanum lycopersicum</span> cv ‘Panarea’ after 56 days of the experiment. (<b>a</b>) Fruit yield (<span class="html-italic">n</span> = 7); (<b>b</b>) fruit number per plant (<span class="html-italic">n</span> = 7); (<b>c</b>) caliber (<span class="html-italic">n</span> = 7); (<b>d</b>) total antioxidant capacity (DPPH%) (<span class="html-italic">n</span> = 4); (<b>e</b>) one fruit dry weight of the first tomato per truss (<span class="html-italic">n</span> = 7). The data followed a normal distribution and were subjected to two-way ANOVA (<a href="#app1-antioxidants-13-01100" class="html-app">Supplementary Table S3</a>). Values indicated with different letters differ significantly from each other (Tukey’s post-hoc test, <span class="html-italic">p</span> ≤ 0.05). <span class="html-italic">t</span>-test analyses * = <span class="html-italic">p</span> &lt;0.05.</p>
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<p>(<b>a</b>) Zn concentration (mg kg<sup>−1</sup> DW) and (<b>b</b>) caffeine concentration (ng g<sup>−1</sup> FW) in the roots, stems, and leaves of <span class="html-italic">Solanum lycopersicum</span> cv ‘Panarea’ after 56 days of treatment with tap water (control), 0.136 mg L<sup>−1</sup> Zn (Zn), 1 mg L<sup>−1</sup> caffeine-(trimethyl-<sup>13</sup>C) (caffeine), and 1 mg L<sup>−1</sup> caffeine-(trimethyl-<sup>13</sup>C) + 0.136 mg L<sup>−1</sup> Zn (Zn + caffeine). Statistical significances were determined with two-way ANOVA (data n = 7), and different letters indicate a statistical difference according to Tukey’s multiple comparison test (<span class="html-italic">p</span> ≤ 0.05) (<a href="#app1-antioxidants-13-01100" class="html-app">Supplementary Table S5</a>); nd = not detected; * = <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 4
<p>(<b>a</b>) Zn concentration (mg kg<sup>−1</sup> DW); (<b>b</b>) Caffeine concentration (ng g FW<sup>−1</sup>) in tomato fruits <span class="html-italic">Solanum lycopersicum</span> cv ‘Panarea’ after 32, 48, and 56 days of treatments with tap water (control), 0.136 mg L<sup>−1</sup> Zn (Zn), 1 mg L<sup>−1</sup> caffeine-(trimethyl-<sup>13</sup>C) (caffeine), and 1 mg L<sup>−1</sup> caffeine-(trimethyl-<sup>13</sup>C) + 0.136 mg L<sup>−1</sup> Zn (Zn + caffeine). Statistical significances were determined with two-way ANOVA (data <span class="html-italic">n</span> = 7), and different letters indicated a statistical difference according to Tukey’s multiple comparison test (<span class="html-italic">p</span> ≤ 0.05) (<a href="#app1-antioxidants-13-01100" class="html-app">Supplementary Table S6</a>); ns = not significant; nd = not detected; * = <span class="html-italic">p</span> &lt; 0.05. <span class="html-italic">t</span>-test between caffeine and mix results was also performed.</p>
Full article ">Figure 5
<p>Translocation factors for Zn (<b>a</b>) and caffeine (<b>b</b>) in <span class="html-italic">Solanum lycopersicum</span> ‘Panarea’ stem, leaves, and tomatoes after 56 days of treatment with 0.136 mg L<sup>−1</sup> Zn (Zn), 1 mg L<sup>−1</sup> caffeine-(trimethyl-<sup>13</sup>C) (caffeine), 1 mg L<sup>−1</sup> caffeine (trimethyl-<sup>13</sup>C), and 0.136 mg L<sup>−1</sup> Zn (Zn + caffeine). Data were analyzed by <span class="html-italic">t</span>-test, and significant results are reported (* = <span class="html-italic">p</span> &lt; 0.05; ** = <span class="html-italic">p</span> &lt; 0.01; ns = not significant).</p>
Full article ">Figure 6
<p>Principal component analysis (PCA) biplot of (<b>a</b>) mineral elements analyzed in the first fruit of the first, second, and third trusses (<a href="#app1-antioxidants-13-01100" class="html-app">Supplementary Tables S7 and S8</a>). Principal component analysis (<b>b</b>) of selected polyphenol–protocatechuic acid (PCTA), 4-coumaric acid (PCA), caffeic acid (CFA), trans-ferulic acid (TFRA), naringenin (NRG), apigenin (APG), luteolin (LTO), quercetin (QCT), chlorogenic acid (CGA), piceid (PCD), phloridzin (PDZ), kaempferol 7-G (QCT7G), kaempferol 3-G (QCT3G), kaempferol 3-O-rutinoside (KPF3R), rutin (RTN), quercetin 3,4 DG (QCTDG) of <span class="html-italic">Solanum lycopersicum</span> cv ‘Panarea’ treated with tap water (control), 0.136 mg L<sup>−1</sup> Zn (Zn), 1 mg L<sup>−1</sup> caffeine (trimethyl-<sup>13</sup>C) (caffeine), 1 mg L<sup>−1</sup> caffeine (trimethyl-<sup>13</sup>C), and 0.136 mg L<sup>−1</sup> Zn (Zn + caffeine). The loadings (red color) and score (grey color) of the PCA are reported.</p>
Full article ">Figure 7
<p>Schematic representation of the putative biosynthetic pathways of the main secondary compounds and hierarchical clustering analysis (HCA) plot of polyphenols in <span class="html-italic">Solanum lycopersicum</span> cv ‘Panarea’; box plot representation of 4-coumaric acid (PCA) (<b>a</b>–<b>c</b>), caffeic acid (CFA) (<b>d</b>–<b>f</b>), t-ferulic acid (TFRA) (<b>g</b>–<b>i</b>), apigenin (APG) (<b>j</b>–<b>l</b>), and luteolin (LTO) (<b>m</b>–<b>o</b>) in <span class="html-italic">Solanum lycopersicum</span> cv ‘Panarea’ after 32, 48, and 56 days of treatment with tap water (control), 0.136 mg L<sup>−1</sup> Zn (Zn), 1 mg L<sup>−1</sup> caffeine-(trimethyl-<sup>13</sup>C) (caffeine), and 1 mg L<sup>−1</sup> caffeine-(trimethyl-<sup>13</sup>C) + 0.136 mg L<sup>−1</sup> Zn (Zn + caffeine). Statistical significances were determined with two-way ANOVA (<span class="html-italic">n</span> = 5) and different letters indicated a statistical difference according to Tukey’s multiple comparison test (<span class="html-italic">p</span> ≤ 0.05) (<a href="#app1-antioxidants-13-01100" class="html-app">Supplementary Table S9</a>); ns = not significant.</p>
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26 pages, 25701 KiB  
Article
Key Factors Controlling Cadmium and Lead Contents in Rice Grains of Plants Grown in Soil with Different Cadmium Levels from an Area with Typical Karst Geology
by Long Li, Lijun Ma, Lebin Tang, Fengyan Huang, Naichuan Xiao, Long Zhang and Bo Song
Agronomy 2024, 14(9), 2076; https://doi.org/10.3390/agronomy14092076 - 11 Sep 2024
Viewed by 197
Abstract
Cadmium (Cd) is a naturally occurring element often associated with lead (Pb) in the Earth’s crust, particularly in karst regions, posing significant safety hazards for locally grown rice. Identifying the key factors controlling Cd and Pb content in local rice is essential under [...] Read more.
Cadmium (Cd) is a naturally occurring element often associated with lead (Pb) in the Earth’s crust, particularly in karst regions, posing significant safety hazards for locally grown rice. Identifying the key factors controlling Cd and Pb content in local rice is essential under the natural soil condition, as this will provide a crucial theoretical foundation for implementing security intervention measures within the local rice-growing industry. This study collected three types of paddy field soils with varying Cd concentrations from karst areas for pot experiments. The rice varieties tested included a low-Cd-accumulating variety, a high-Cd-accumulating variety, and a locally cultivated variety. Soil physicochemical properties and plant physiological indices were monitored throughout the rice growth stages. These data were used to construct a segmented regression model of Cd and Pb levels in rice grains based on the plant’s metabolic pathways and the structure of polynomial regression equations. Stepwise regression identified the key factors controlling Cd and Pb accumulation in rice grains. In conclusion, the key factors controlling Cd and Pb levels in rice grains should be classified into two categories: (i) factors influencing accumulation in roots and (ii) factors regulating transport from roots to grains. The aboveground translocation abilities for Cd, Pb, zinc (Zn), iron (Fe), manganese (Mn), calcium (Ca), and magnesium (Mg) in soil among the three rice varieties showed no significant interspecific differences under identical soil conditions. Soil Mg uptake by rice roots may represent a key mechanism for inhibiting soil Cd uptake by rice roots. In karst areas with high background soil Cd, increased soil organic matter (SOM) levels enhance Pb bioavailability. Additionally, the rice YXY may possess a potential for low Cd accumulation. Full article
(This article belongs to the Section Soil and Plant Nutrition)
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Figure 1

Figure 1
<p>Collection situation of soil samples for testing. GS(2022)1873 refers to the base map review number from the Ministry of Natural Resources of China’s standard map service system. The national, provincial, municipal (or state), and district boundaries depicted in (<b>a</b>–<b>c</b>) comply with the specifications of base map GS(2022)1873. <a href="#agronomy-14-02076-f001" class="html-fig">Figure 1</a>a shows the locations where potting soil samples were collected at XQ and WP in Duyun City, Qiannan Prefecture, Guizhou Province. (<b>b</b>) illustrates the sampling locations of RA potting soil in Rong’an County, Liuzhou City, Guangxi Zhuang Autonomous Region. (<b>c</b>–<b>e</b>) depict the distribution of actual sample points at XQ-Sample Point, WP-Sample Point, and RA-Sample Point, respectively. (<b>f</b>) presents the total Cd content in the potting soil sample points collected from the three locations, note the different y-axis ranges.</p>
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<p>The Process of Rice Growth in a Pot Experiment.</p>
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<p>Metabolic Pathways and Interactions of Soil Heavy Metals in Rice Plants.</p>
Full article ">Figure 4
<p>Analysis of Heavy Metal Content in the Pot Experiments. The abbreviations JLY, YXY, and ZZY refer to the names of the three rice varieties. (<b>a</b>) on the left depicts the correspondence between rice Cd content and soil Cd content in each group of soils, according to both food and soil standards. (<b>b</b>) on the left shows the correspondence between rice Pb content and soil Pb content in each group of soils, based on food and soil standards. The significance of differences between data was tested using Duncan’s method (<span class="html-italic">p</span> &lt; 0.05). The Cd and Pb contents in rice grains were compared among three varieties grown in the same soil. Differences are marked in the figures using lowercase English letters. When the markings between the different varieties do not share the same letter, a significant difference is indicated.</p>
Full article ">Figure 5
<p>Analysis of rice biomass in the pot experiments. The abbreviations JLY, YXY, and ZZY refer to the names of the three rice varieties. The proportion of dry matter in different parts of the rice plant relative to the whole plant was calculated as follows: = (dry weight of various parts of the rice plant/dry weight of the whole rice plant) × 100%. The significance of differences between data was tested using Duncan’s method (<span class="html-italic">p</span> &lt; 0.05). The data were classified according to rice variety, and differences in data for the same rice plant parts across the three soil types were compared. The differences are indicated in the figures by lowercase letters. If the same letter does not appear in the markings between the comparison data, it signifies a significant difference.</p>
Full article ">Figure 5 Cont.
<p>Analysis of rice biomass in the pot experiments. The abbreviations JLY, YXY, and ZZY refer to the names of the three rice varieties. The proportion of dry matter in different parts of the rice plant relative to the whole plant was calculated as follows: = (dry weight of various parts of the rice plant/dry weight of the whole rice plant) × 100%. The significance of differences between data was tested using Duncan’s method (<span class="html-italic">p</span> &lt; 0.05). The data were classified according to rice variety, and differences in data for the same rice plant parts across the three soil types were compared. The differences are indicated in the figures by lowercase letters. If the same letter does not appear in the markings between the comparison data, it signifies a significant difference.</p>
Full article ">Figure 6
<p>Data characterization of the BCF and TF at different growth phases. (<b>a</b>–<b>g</b>) illustrate the differences in data between the three rice varieties in terms of BCFs and TFs for Cd, Pb, Zn, Fe, Mn, Ca, and Mg across two growth stages (Phase 4 and Phase 5), all under the same soil conditions. Statistical significance of differences between data was assessed using Duncan’s method (<span class="html-italic">p</span> &lt; 0.05). Data were classified by soil collection location, and BCF and TF differences among the three rice varieties in the same soil were compared. Labels with the same color denote data from the same soil type. The differences are indicated in the figures by lowercase letters. If the same letter does not appear in the markings between the comparison data, it signifies a significant difference.</p>
Full article ">Figure 7
<p>Interaction of heavy metal metabolic processes between grain and root in rice across various growth phases. Phase 4 corresponds to the full-heading stage, and phase 5 corresponds to the full-ripe stage. The abbreviations JLY, YXY, and ZZY represent the three rice varieties examined.</p>
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<p>Screening results for the main controlling factors of heavy metal contents in rice grain. The stepwise regression conditions were set as follows: <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>α</mi> </mrow> <mrow> <mi>e</mi> <mi>n</mi> <mi>t</mi> <mi>r</mi> <mi>y</mi> </mrow> </msub> <mo>=</mo> <mn>0.35</mn> </mrow> </semantics></math>; <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>α</mi> </mrow> <mrow> <mi>r</mi> <mi>e</mi> <mi>m</mi> <mi>o</mi> <mi>v</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> <mo>=</mo> <mn>0.65</mn> </mrow> </semantics></math>. The screening outcomes align with the least squares method: <span class="html-italic">n</span> &gt; <span class="html-italic">p</span> + 1 [<a href="#B64-agronomy-14-02076" class="html-bibr">64</a>], where <span class="html-italic">n</span> represents the number of samples, and <span class="html-italic">p</span> indicates the number of independent variables. The R squared represents the multiple coefficients of determination (<math display="inline"><semantics> <mrow> <msup> <mrow> <mi>R</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msup> </mrow> </semantics></math>), while the adjusted R squared represents the adjusted multiple coefficients of determination (<math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi>R</mi> </mrow> <mrow> <mi>a</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msubsup> </mrow> </semantics></math>). The optimal subset of the models, which has been filtered, is indicated by the red numbers marked on the x-axis. The model results for each soil type are based on standardized coefficients.</p>
Full article ">Figure 8 Cont.
<p>Screening results for the main controlling factors of heavy metal contents in rice grain. The stepwise regression conditions were set as follows: <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>α</mi> </mrow> <mrow> <mi>e</mi> <mi>n</mi> <mi>t</mi> <mi>r</mi> <mi>y</mi> </mrow> </msub> <mo>=</mo> <mn>0.35</mn> </mrow> </semantics></math>; <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>α</mi> </mrow> <mrow> <mi>r</mi> <mi>e</mi> <mi>m</mi> <mi>o</mi> <mi>v</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> <mo>=</mo> <mn>0.65</mn> </mrow> </semantics></math>. The screening outcomes align with the least squares method: <span class="html-italic">n</span> &gt; <span class="html-italic">p</span> + 1 [<a href="#B64-agronomy-14-02076" class="html-bibr">64</a>], where <span class="html-italic">n</span> represents the number of samples, and <span class="html-italic">p</span> indicates the number of independent variables. The R squared represents the multiple coefficients of determination (<math display="inline"><semantics> <mrow> <msup> <mrow> <mi>R</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msup> </mrow> </semantics></math>), while the adjusted R squared represents the adjusted multiple coefficients of determination (<math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi>R</mi> </mrow> <mrow> <mi>a</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msubsup> </mrow> </semantics></math>). The optimal subset of the models, which has been filtered, is indicated by the red numbers marked on the x-axis. The model results for each soil type are based on standardized coefficients.</p>
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<p>Chemical speciation analysis (BCR) of Cd and Pb in soil during rice cultivation. (<b>a</b>) presents data on the different chemical speciation of soil Cd during the three critical growth phases of rice, the differential changes in each speciation, and between the growth phases and the correlation between the basic physical and chemical properties of the soil, the Cd content in rice roots, and the chemical speciation of soil Cd. (<b>b</b>) presents data on the different chemical speciation of soil Pb during the three critical growth phases of rice, the differential changes in each speciation, and between the growth phases and the correlation between the basic physical and chemical properties of the soil, the Pb content in rice roots, and the chemical speciation of soil Pb. Phase 2 corresponds to the rice transplanting stage, phase 4 to the full-heading stage, and phase 5 to the full-ripe stage. The abbreviations JLY, YXY, and ZZY refer to the names of the three rice varieties. The significance of differences between data was tested using Duncan’s method (<span class="html-italic">p</span> &lt; 0.05). The data were classified according to rice growth phase and compared within each soil type. The differences are indicated in the figures by lowercase letters. If the same letter does not appear in the markings between the comparison data, it signifies a significant difference.</p>
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<p>Chemical speciation analysis (BCR) of Cd and Pb in soil during rice cultivation. (<b>a</b>) presents data on the different chemical speciation of soil Cd during the three critical growth phases of rice, the differential changes in each speciation, and between the growth phases and the correlation between the basic physical and chemical properties of the soil, the Cd content in rice roots, and the chemical speciation of soil Cd. (<b>b</b>) presents data on the different chemical speciation of soil Pb during the three critical growth phases of rice, the differential changes in each speciation, and between the growth phases and the correlation between the basic physical and chemical properties of the soil, the Pb content in rice roots, and the chemical speciation of soil Pb. Phase 2 corresponds to the rice transplanting stage, phase 4 to the full-heading stage, and phase 5 to the full-ripe stage. The abbreviations JLY, YXY, and ZZY refer to the names of the three rice varieties. The significance of differences between data was tested using Duncan’s method (<span class="html-italic">p</span> &lt; 0.05). The data were classified according to rice growth phase and compared within each soil type. The differences are indicated in the figures by lowercase letters. If the same letter does not appear in the markings between the comparison data, it signifies a significant difference.</p>
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11 pages, 281 KiB  
Article
The Potential of Helichsryum splendidum (Thunb.) Less. for the Restoration of Sites Polluted with Coal Fly Ash
by Alexis Munyengabe, Ledwaba Samuel Kamogelo, Titus Yeliku-ang Ngmenzuma and Maria Fezile Banda
Plants 2024, 13(18), 2551; https://doi.org/10.3390/plants13182551 - 11 Sep 2024
Viewed by 244
Abstract
The disposal of coal fly ash (CFA) generated from coal-fired power stations has serious impact on the ecosystem, by converting large pieces of land to barren ash dams with the potential to contaminate groundwater, surface water, air and soil. The aim of this [...] Read more.
The disposal of coal fly ash (CFA) generated from coal-fired power stations has serious impact on the ecosystem, by converting large pieces of land to barren ash dams with the potential to contaminate groundwater, surface water, air and soil. The aim of this study was to clarify the potential of phytoremediation using Helichrysum splendidum (Thunb.) Less. in areas polluted by CFA through conduction of pot trial experiments for 14 weeks. Plants of the same age were cultivated in CFA to assess their growth, photosynthetic rate and tolerance towards metal toxicity. This study revealed that the CFA was moderately polluted with heavy metals, and a lower photosynthetic rate was recorded for the CFA plants in comparison to the controls (plants grown in soil). Although the CO2 assimilation rate was lower for the CFA plants, increased growth was recorded for all the plants tested. Inductively coupled plasma mass spectrometry (ICP-MS) was used to quantify the amount of trace elements in samples and parameters including translocation factor (TF) and bioconcentration factor (BCF) were used to evaluate the phytoremediation potential of H. splendidum (Thunb.) Less. The results revealed that higher concentrations of Cd, Co, Cr, Cu, Mn and Pb were accumulated in the roots, while As, Ni and Zn were found in the shoots. Elements including As, Cr and Zn reported TF values above 1, indicating the plants’ phytoextraction potential. The BCF values for As, Cu and Zn were 1.22, 1.19 and 1.03, indicating effectiveness in the phytostabilization processes. A removal rate efficiency ranging from 18.0 to 56.7% was recorded confirming that, H. splendidum (Thunb.) Less. can be employed for restoration of CFA dams. Full article
(This article belongs to the Topic Effect of Heavy Metals on Plants, 2nd Volume)
13 pages, 293 KiB  
Review
Dermatofibrosarcoma Protuberans: An Updated Review of the Literature
by Marcin Jozwik, Katarzyna Bednarczuk and Zofia Osierda
Cancers 2024, 16(18), 3124; https://doi.org/10.3390/cancers16183124 - 11 Sep 2024
Viewed by 288
Abstract
Dermatofibrosarcoma protuberans (DFSP) is a rare proliferative condition representing skin sarcomas which is known to locally recur yet very rarely metastasizes. Its genetic background is a reciprocal translocation t(17;22)(q22;q13) that produces COL1A1-PDGFB gene fusion. Complete resection is the primary treatment. The aim of [...] Read more.
Dermatofibrosarcoma protuberans (DFSP) is a rare proliferative condition representing skin sarcomas which is known to locally recur yet very rarely metastasizes. Its genetic background is a reciprocal translocation t(17;22)(q22;q13) that produces COL1A1-PDGFB gene fusion. Complete resection is the primary treatment. The aim of this review is to outline the pathogenesis, diagnosis, and management of DFSP. A clear-cut distinction between low-to-moderate-grade DFSP with excellent prognosis and high-grade fibrosarcomatous DFSP with a much worse prognosis is underlined. Malignant transformation within DFSP (or high histologic grade), older age, being female, large primary tumor size (≥10 cm), narrow surgical margins of excision (<3 cm), surgical margin positivity for tumor cells, short time to recurrence, numerous recurrences, tumor that was recently rapidly enlarging, and presence of pain in the tumor have all been proposed as clinicopathological risk factors for recurrence and metastasis. A tendency for local growth and local relapses of well- and moderately differentiated DFSPs is an argument for their surgical excision, possibly combined with reconstructive surgery, even in patients of advanced age. Another main point of this review is that cases of DFSP with fibrosarcomatous transformation are a challenge and require careful medical attention. Both anatomopathological evaluation of the presence of lymphovascular space invasion and sentinel lymph node biopsy at DFSP surgery merit further study. Full article
(This article belongs to the Special Issue Advances in the Diagnosis and Treatment of Genitourinary Cancers)
21 pages, 3481 KiB  
Article
Does Nitrogen Fertilization Improve Nitrogen-Use Efficiency in Spring Wheat?
by Aixia Xu, Yafei Chen, Xuexue Wei, Zechariah Effah, Lingling Li, Junhong Xie, Chang Liu and Sumera Anwar
Agronomy 2024, 14(9), 2049; https://doi.org/10.3390/agronomy14092049 - 7 Sep 2024
Viewed by 362
Abstract
To investigate the effects and mechanism of prolonged inorganic nitrogen (N) fertilization on the N-use efficiency of spring wheat (Triticum aestivum L.), a long-term study initiated in 2003 was conducted. The study analyzed how N fertilization affects dry matter translocation, N translocation, [...] Read more.
To investigate the effects and mechanism of prolonged inorganic nitrogen (N) fertilization on the N-use efficiency of spring wheat (Triticum aestivum L.), a long-term study initiated in 2003 was conducted. The study analyzed how N fertilization affects dry matter translocation, N translocation, soil NO3-N, and N-use efficiency. Five different N-fertilizer rate treatments were tested: N0, N52.5, N105, N157.5, and N210, corresponding to annual N fertilizer doses of 0, 52.5, 105.0, 157.5, and 210.0 kg N ha−1, respectively. Results showed that increasing N-fertilizer rates significantly enhanced the two-year average dry matter accumulation amount (DMA) at maturity by 22.97–56.25% and pre-flowering crop growth rate (CGR) by 17.11–92.85%, with no significant increase beyond 105 kg N ha−1. However, no significant correlation was observed between the dry matter translocation efficiency (DTE) and wheat grain yield. Both insufficient and excessive N applications resulted in an imbalanced N distribution favoring vegetative growth over reproductive growth, thus negatively impacting N-use efficiency. At maturity, the N-fertilized treatments significantly increased the two-year average N accumulation amount (NAA) by 52.04–129.98%, with no further increase beyond 105 kg N ha−1. N fertilization also improved the two-year average N translocation efficiency (NTE) by 56.89–63.80% and the N contribution proportion (NCP) of wheat vegetative organs by 27.79–57.83%, peaking in the lower-N treatment (N52.5). However, high-N treatment (N210) led to an increase in NO3-N accumulation in the 0–100 cm soil layer, with an increase of 26.27% in 2018 and 122.44% in 2019. This higher soil NO3-N accumulation in the 0–100 cm layer decreased NHI, NUE, NAE, NPFP, and NMB. Additionally, N fertilization significantly reduced the two-year average N harvest index (NHI) by 9.89–12.85% and N utilization efficiency (NUE) by 11.14–20.79%, both decreasing with higher N application rates. The NAA followed the trend of anthesis > maturity > jointing. At the 105 kg N ha−1 rate, the highest N agronomic efficiency (NAE) (9.31 kg kg−1), N recovery efficiency (NRE) (38.32%), and N marginal benefit (NMB) (10.67 kg kg−1) were observed. Higher dry matter translocation amount (DTA) and N translocation amount (NTA) reduced NHI and NUE, whereas higher NTE improved NHI, NUE, and N partial factor productivity (NPFP). Overall, N fertilization enhanced N-use efficiency in spring wheat by improving N translocation rather than dry matter translocation. Full article
(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)
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<p>Monthly rainfall and temperature for the experimental years.</p>
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<p>The dry matter translocation amount (DTA) in total aboveground (<b>A</b>) and different tissues (<b>D</b>), dry matter translocation efficiency (DTE) of total aboveground (<b>B</b>) and different tissues (<b>E</b>), and dry matter contribution proportion (DCP) of total aboveground (<b>C</b>) and different tissues (<b>F</b>) of wheat according to N fertilizer supply (N0, N52.5, N105, N157.5, and N210 represent annual N-fertilizer rates of 0, 52.5, 105.0, 157.5, and 210.0 kg N ha<sup>−1</sup>, respectively). Vertical bars represent standard errors, and columns with different letters indicate statistically significant differences according to Duncan’s multiple range test (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Nitrogen (N) accumulation (mg stem<sup>−1</sup>) in various wheat tissues according to N fertilizer supply (N0, N52.5, N105, N157.5, and N210 represent annual N-fertilizer rate of 0, 52.5, 105.0, 157.5, and 210.0 kg N ha<sup>−1</sup>, respectively) at (<b>A</b>) anthesis in 2018, (<b>B</b>) anthesis in 2019, (<b>C</b>) anthesis as a two-year average, (<b>D</b>) maturity in 2018, (<b>E</b>) maturity in 2019, and (<b>F</b>) maturity as a two-year average. Vertical bars represent standard errors, and columns with different letters indicate statistically significant differences according to Duncan’s multiple range test (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Nitrogen translocation and contribution to grain with different nitrogen (N) treatments (mg stem<sup>−1</sup>). The N translocation amount of wheat vegetative organs (<b>A</b>) and various tissues (<b>D</b>), N translocation efficiency of vegetative organs (<b>B</b>) and various tissues (<b>E</b>), and N contribution proportion of wheat vegetative organs (<b>C</b>) and different tissues (<b>F</b>) according to N fertilizer supply (N0, N52.5, N105, N157.5, and N210 represent annual N-fertilizer rates of 0, 52.5, 105.0, 157.5, and 210.0 kg N ha<sup>−1</sup>, respectively). Vertical bars represent standard errors, and columns with different letters indicate statistically significant differences according to Duncan’s multiple range test (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>NO<sub>3</sub>–N accumulation (kg ha<sup>−1</sup>) in the 0–100 cm soil layers at maturity of wheat in 2018 (<b>A</b>) and 2019 (<b>B</b>) (N0, N52.5, N105, N157.5, and N210 represent annual N-fertilizer rates of 0, 52.5, 105.0, 157.5, and 210.0 kg N ha<sup>−1</sup>, respectively). Vertical bars represent standard errors, and columns with different letters indicate statistically significant differences according to Duncan’s multiple range test (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>(<b>A</b>) Nitrogen (N) harvest index (NHI), (<b>B</b>) N utilization efficiency (NUE, kg kg<sup>−1</sup>), (<b>C</b>) N agronomic efficiency (NAE, kg kg<sup>−1</sup>), (<b>D</b>) N recovery efficiency (NRE, %), (<b>E</b>) N partial factor productivity (NPFP, kg kg<sup>−1</sup>), and (<b>F</b>) N marginal benefit (NMB, kg kg<sup>−1</sup>) according to N fertilizer supply (N0, N52.5, N105, N157.5, and N210 represent annual N-fertilizer rates of 0, 52.5, 105.0, 157.5, and 210.0 kg N ha<sup>−1</sup>, respectively). Vertical bars represent standard errors, and columns with different letters indicate statistically significant differences according to Duncan’s multiple range test (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Correlation coefficients among nitrogen (N) harvest index (NHI), N utilization efficiency (NUE, kg kg<sup>−1</sup>), N agronomic efficiency (NAE, kg kg<sup>−1</sup>), N recovery efficiency (NRE, %), N partial factor productivity (NPFP, kg kg<sup>−1</sup>), N marginal benefit (NMB, kg kg<sup>−1</sup>), dry matter translocation amount (DTA, mg stem<sup>−1</sup>), dry matter translocation efficiency (DTE, %), N translocation amount (NTA, kg ha<sup>−1</sup>), and N translocation efficiency (NTE, %) across N fertilizer treatments. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01.</p>
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21 pages, 6082 KiB  
Article
Downregulation of IL-8 and IL-10 by LRRC8A Inhibition through the NOX2–Nrf2–CEBPB Transcriptional Axis in THP-1-Derived M2 Macrophages
by Miki Matsui, Junko Kajikuri, Hiroaki Kito, Elghareeb E. Elboray, Takayoshi Suzuki and Susumu Ohya
Int. J. Mol. Sci. 2024, 25(17), 9612; https://doi.org/10.3390/ijms25179612 - 5 Sep 2024
Viewed by 343
Abstract
M2-polarized, tumor-associated macrophages (TAMs) produce pro-tumorigenic and angiogenic mediators, such as interleukin-8 (IL-8) and IL-10. Leucine-rich repeat-containing protein 8 members (LRRC8s) form volume-regulated anion channels and play an important role in macrophage functions by regulating cytokine and chemokine production. We herein [...] Read more.
M2-polarized, tumor-associated macrophages (TAMs) produce pro-tumorigenic and angiogenic mediators, such as interleukin-8 (IL-8) and IL-10. Leucine-rich repeat-containing protein 8 members (LRRC8s) form volume-regulated anion channels and play an important role in macrophage functions by regulating cytokine and chemokine production. We herein examined the role of LRRC8A in IL-8 and IL-10 expression in THP-1-differentiated M2-like macrophages (M2-MACs), which are a useful tool for investigating TAMs. In M2-MACs, the pharmacological inhibition of LRRC8A led to hyperpolarizing responses after a transient depolarization phase, followed by a slight elevation in the intracellular concentration of Ca2+. Both the small interfering RNA-mediated and pharmacological inhibition of LRRC8A repressed the transcriptional expression of IL-8 and IL-10, resulting in a significant reduction in their secretion. The inhibition of LRRC8A decreased the nuclear translocation of phosphorylated nuclear factor-erythroid 2-related factor 2 (Nrf2), while the activation of Nrf2 reversed the LRRC8A inhibition-induced transcriptional repression of IL-8 and IL-10 in M2-MACs. We identified the CCAAT/enhancer-binding protein isoform B, CEBPB, as a downstream target of Nrf2 signaling in M2-MACs. Moreover, among several upstream candidates, the inhibition of nicotinamide adenine dinucleotide phosphate (NADPH) oxidase 2 (NOX2) suppressed the Nrf2–CEBPB transcriptional axis in M2-MACs. Collectively, the present results indicate that the inhibition of LRRC8A repressed IL-8 and IL-10 transcription in M2-MACs through the NOX2–Nrf2–CEBPB axis and suggest that LRRC8A inhibitors suppress the IL-10-mediated evasion of tumor immune surveillance and IL-8-mediated metastasis and neovascularization in TAMs. Full article
(This article belongs to the Special Issue Advances in Cell Signaling Pathways and Signal Transduction)
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Graphical abstract

Graphical abstract
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<p>Expression of LRRC8A in M<sub>2</sub>-MACs. (<b>A</b>) Real-time PCR examination of LRRC8A and ANO1 in M<sub>2</sub>-MACs. Expression levels are shown as the ratio to the ACTB (<span class="html-italic">n</span> = 4 for each). (<b>B</b>) Protein expression of LRRC8A (a) and ANO1 (b) in M<sub>2</sub>-MACs protein lysates. Blots were probed with anti-LRRC8A (approx. 95 kDa), anti-ANO1 (approx. 115 kDa), and anti-ACTB (approx. 45 kDa) antibodies. (<b>C</b>) Confocal fluorescence images (green) of Alexa Fluor 488-labeled LRRC8A (b) and ANO1 (c) and negative control with Alexa Fluor 488 alone (a) in M<sub>2</sub>-MACs. Dashed lines show cell boundaries. The scale bar in ‘(a)’ shows 10 μm (same in (b,c)).</p>
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<p>Functional expression of LRRC8A in M<sub>2</sub>-MACs. (<b>A</b>,<b>B</b>) Simultaneous measurement of changes in membrane potential (<b>A</b>) and [Ca<sup>2+</sup>]<sub>i</sub> (<b>B</b>) following the application of the LRRC8/ANO1 inhibitor, endovion (EDV, 1 μM), using bis-(1,3-dibutylbarbituric acid)trimethine oxonol [DiBAC<sub>4</sub>(3)] and Fura 2-acetoxymethyl ester (Fura 2-AM), respectively. The relative time course of changes in fluorescence intensities (1.0 at time 0 s) from an M<sub>2</sub>-MAC is shown. (<b>C</b>,<b>D</b>) Summarized results of EDV (1 μM)-induced depolarization (at 1 min) (<b>C</b>) and hyperpolarization (at 10 min) (<b>D</b>) responses. (<b>E</b>,<b>F</b>) Summarized results of EDV (1 μM)-induced changes in [Ca<sup>2+</sup>]<sub>i</sub> at 1 min (<b>E</b>) and 10 min (<b>F</b>). (<b>G</b>,<b>H</b>) Measurement of changes in membrane potential following the application of the selective ANO1 inhibitor, ANO1-IN-1 (1 μM), using DiBAC<sub>4</sub>(3). The relative time course of changes in fluorescence intensities (1.0 at time 0 s) from an M<sub>2</sub>-MAC is shown (<b>G</b>). Summarized results of ANO1-IN-1-induced responses (<b>H</b>). Numbers used for experiments are shown in parentheses. **: <span class="html-italic">p</span> &lt; 0.01 vs. the vehicle control.</p>
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<p>Effects of the siRNA-mediated and pharmacological inhibition of LRRC8A on IL-8 and IL-10 expression and secretion in M<sub>2</sub>-MACs. (<b>A</b>,<b>C</b>) Real-time PCR examination of IL-8 (<b>A</b>) and IL-10 (<b>C</b>) expression in M<sub>2</sub>-MACs 48 h after the transfection of LRRC8A siRNA (siLRRC8A). The mRNA expression level in the control siRNA (siCont)-transfected group is expressed as 1.0 (<span class="html-italic">n</span> = 4 for each). (<b>B</b>,<b>D</b>) Quantitative detection of IL-8 (<b>B</b>) and IL-10 (<b>D</b>) secretion by an ELISA assay in the siCont and siLRRC8A groups. The cytokine secretion level in the siCont group is expressed as 1.0 (<span class="html-italic">n</span> = 4 for each). (<b>E</b>,<b>G</b>) Real-time PCR examination of IL-8 (<b>E</b>) and IL-10 (<b>G</b>) expression in vehicle- and endovion (EDV: 1, 3, and 10 μM)-treated M<sub>2</sub>-MACs for 12 h. The mRNA expression level in the vehicle control is expressed as 1.0 (<span class="html-italic">n</span> = 4 for each). (<b>F</b>,<b>H</b>) Quantitative detection of IL-8 (<b>F</b>) and IL-10 (<b>H</b>) secretion by an ELISA assay in the vehicle- and EDV (10 μM)-treated groups. The cytokine secretion level in the vehicle control is expressed as 1.0 (<span class="html-italic">n</span> = 4 for each). *, **: <span class="html-italic">p</span> &lt; 0.05, 0.01 vs. siCont and the vehicle control.</p>
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<p>Effects of the siRNA-mediated inhibition of Nrf2 on IL-10 and IL-8 expression and secretion and effects of the activation of Nrf2 on EDV-induced decreases in their expression levels in M<sub>2</sub>-MACs. (<b>A</b>,<b>C</b>) Real-time PCR examination of IL-8 (<b>A</b>) and IL-10 (<b>C</b>) expression in M<sub>2</sub>-MACs 48 h after the transfection of Nrf2 siRNA (siNrf2). The mRNA expression level in the control siRNA (siCont)-transfected group is expressed as 1.0 (<span class="html-italic">n</span> = 4 for each). (<b>B</b>,<b>D</b>) Quantitative detection of IL-8 (<b>B</b>) and IL-10 (<b>D</b>) secretion by an ELISA assay in the siCont- and siNrf2-transfected groups. The cytokine secretion level in the siCont group is expressed as 1.0 (<span class="html-italic">n</span> = 4 for each). (<b>E</b>,<b>F</b>) Real-time PCR examination of IL-8 (<b>E</b>) and IL-10 (<b>F</b>) in M<sub>2</sub>-MACs treated (+) or untreated (−) with 10 μM endovion (EDV) and 100 μM NK252, the Nrf2 activator for 12 h (<span class="html-italic">n</span> = 4 for each). After normalization to ACTB mRNA expression levels, IL-8 and IL-10 mRNA expression levels in the vehicle control (−/−) are expressed as 1.0. **: <span class="html-italic">p</span> &lt; 0.01 vs. siCont and −/−; <sup>##</sup>: <span class="html-italic">p</span> &lt; 0.01 vs. +/−.</p>
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<p>Effects of EDV on the nuclear translocation of P-Nrf2 in M<sub>2</sub>-MACs. (<b>A</b>) Confocal fluorescent images of Alexa Fluor 488-labeled P-Nrf2 in vehicle-treated (a), endovion- (EDV) (10 μM) (b), and NK252-treated (100 μM) (c) M<sub>2</sub>-MACs for 2 h (upper panels, single green image). (<b>B</b>,<b>C</b>) Summarized results of the percentages of P-Nrf2-positive [P-Nrf2(+)] M<sub>2</sub>-MACs in nuclei (<span class="html-italic">n</span> = 6 for each). In each batch (<span class="html-italic">n</span> = 1), more than 30 cells treated with EDV (<b>B</b>) and NK-252 (<b>C</b>) were observed by confocal laser scanning microscopy. (<b>D</b>) Confocal fluorescent images of Alexa Fluor 488-labeled Nrf2 in vehicle- (a), EDV (b)-, and NK252 (c)-treated M<sub>2</sub>-MACs (upper panels, single green image). (<b>E</b>) Confocal fluorescent images of Alexa Fluor 488 alone in vehicle-treated M<sub>2</sub>-MACs. Nuclear morphologies are shown by DAPI images (lower panels). Thick and thin dashed lines show the plasma membrane and nuclear boundary, respectively. The scale bars in ‘<b>A</b>(a)’ (same in <b>A</b>(b,c)) and ‘<b>D</b>(a)’ (same in <b>D</b>(b,c)) show 20 μm. **: <span class="html-italic">p</span> &lt; 0.01 vs. the vehicle control.</p>
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<p>Identification of CEBP isoforms as downstream transcriptional factors of Nrf2 in M<sub>2</sub>-MACs. (<b>A</b>) Real-time PCR examination of CEBP isoform expression in M<sub>2</sub>-MACs. Expression levels are shown as the ratio to the ACTB (<span class="html-italic">n</span> = 4 for each). (<b>B</b>,<b>C</b>) Real-time PCR examination of IL-8 (<b>B</b>) and IL-10 (<b>C</b>) expression in M<sub>2</sub>-MACs 48 h after the transfection of CEBPB siRNA (siCEBPB). The mRNA expression level in the control siRNA (siCont)-transfected group is expressed as 1.0 (<span class="html-italic">n</span> = 4 for each). (<b>D</b>,<b>E</b>) Real-time PCR examination of CEBPB expression in vehicle-, endovion (EDV; 10 μM)- (<b>D</b>), and ML385 (5 μM)-treated (<b>E</b>) M<sub>2</sub>-MACs for 12 h. The mRNA expression level in the vehicle control is expressed as 1.0 (<span class="html-italic">n</span> = 4 for each). **: <span class="html-italic">p</span> &lt; 0.01 vs. siCont and the vehicle control.</p>
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<p>No involvement of AKT or AMPK in the LRRC8A inhibition-induced downregulation of IL-8 and IL-10 in M<sub>2</sub>-MACs. (<b>A</b>) Protein expression of P-Nrf2, Nrf2, P-AKT, and AKT in protein lysates of M<sub>2</sub>-MACs. Blots were probed with anti-P-Nrf2/Nrf2 (approx. 100 kDa), anti-P-AKT/AKT (approx. 60 kDa), and anti-ACTB (approx. 45 kDa) antibodies. (<b>B</b>,<b>C</b>) Real-time PCR examination of IL-8 (<b>B</b>) and IL-10 (<b>C</b>) expression in vehicle- and AKT inhibitor AZD5363 (2 μM)-treated M<sub>2</sub>-MACs for 12 h. The mRNA level in the vehicle control is expressed as 1.0 (<span class="html-italic">n</span> = 4 for each). (<b>D</b>) Protein expression of P-AMPK and AMPK in protein lysates of vehicle- and endovion (EDV; 10 μM)-treated M<sub>2</sub>-MACs for 2 h. Blots were probed with anti-P-AMPK/AMPK (approx. 65 kDa) and anti-ACTB (approx. 45 kDa) antibodies. (<b>E</b>) Summarized results of the relative expression of P-AMPK/AMPK were obtained from the optical density of P-AMPK, AMPK, and ACTB band signals (<span class="html-italic">n</span> = 4 for each).</p>
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<p>Involvement of NOX2 in the LRRC8A inhibition-induced downregulation of IL-8 and IL-10 in M<sub>2</sub>-MACs. (<b>A</b>) Identification of NOX isoforms mainly expressed in M<sub>2</sub>-MACs by a real-time PCR examination. Expression levels are shown as the ratio to the ACTB. The mRNA expression level in the vehicle control is expressed as 1.0 (<span class="html-italic">n</span> = 4 for each). (<b>B</b>) Protein expression of NOX2 in M<sub>2</sub>-MAC protein lysates. Blots were probed with anti-NOX2 (approx. 60 kDa) and anti-ACTB (approx. 45 kDa) antibodies. (<b>C</b>–<b>E</b>) Real-time PCR examination of IL-8 (<b>C</b>), IL-10 (<b>D</b>), and CEBPB (<b>E</b>) in vehicle- and NOX4/NOX2 inhibitor GLX351322 (GLX) (10 and 100 μM)-treated M<sub>2</sub>-MACs for 12 h. The mRNA expression level in the vehicle control is expressed as 1.0 (<span class="html-italic">n</span> = 4 for each). (<b>F</b>,<b>G</b>) Quantitative detection of IL-8 (<b>F</b>) and IL-10 (<b>G</b>) secretion by an ELISA assay in vehicle- and GLX (100 μM)-treated M<sub>2</sub>-MACs for 24 h. The cytokine secretion level in the vehicle control is expressed as 1.0 (<span class="html-italic">n</span> = 4 for each). (<b>H</b>–<b>J</b>) Real-time PCR examination of IL-8 (<b>H</b>), IL-10 (<b>I</b>), and CEBPB (<b>J</b>) in vehicle- and selective NOX2 inhibitor GSK2796039 (GSK) (10 μM)-treated M<sub>2</sub>-MACs for 12 h. The mRNA expression level in the vehicle control is expressed as 1.0 (<span class="html-italic">n</span> = 4 for each). (<b>K</b>,<b>L</b>) Quantitative detection of IL-8 (<b>K</b>) and IL-10 (<b>L</b>) secretion by an ELISA assay in vehicle- and GSK-treated M<sub>2</sub>-MACs for 24 h. The cytokine secretion level in the vehicle control is expressed as 1.0 (<span class="html-italic">n</span> = 4 for each). **: <span class="html-italic">p</span> &lt; 0.01 vs. the vehicle control.</p>
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<p>Suppressive effects of the nuclear translocation of P-Nrf2 by NOX2 inhibition in M<sub>2</sub>-MACs. (<b>A</b>,<b>D</b>) Confocal fluorescent images of Alexa Fluor 488-labeled P-Nrf2 (upper panels, single green image) in nuclei in vehicle- (<b>A</b>(a), <b>D</b>(a)), GLX351322 (GLX, 100 μM) (<b>A</b>(b))-, and GSK2795039 (GSK, 10 μM) (<b>D</b>(b))-treated M<sub>2</sub>-MACs for 2 h. (<b>B</b>,<b>E</b>) Summarized results of the percentages of P-Nrf2-positive [P-Nrf2(+)] M<sub>2</sub>-MACs treated with GLX (<b>B</b>) and GSK (<b>E</b>) in ‘A’ and ‘D’ (<span class="html-italic">n</span> = 6 for each). In each batch (<span class="html-italic">n</span> = 1), more than 30 cells were observed by confocal laser scanning microscopy. **: <span class="html-italic">p</span> &lt; 0.01 vs. the vehicle control. (<b>C</b>,<b>F</b>) Confocal fluorescent images of Alexa Fluor 488-labeled Nrf2 (upper panels, single green image) in vehicle (<b>C</b>(a),<b>F</b>(a))-, GLX (<b>C</b>(b))-, and GSK (<b>F</b>(b))-treated M<sub>2</sub>-MACs for 2 h. Nuclear morphologies are shown by DAPI images (lower panels). Thick and thin dashed lines show the plasma membrane and nuclear boundary, respectively. The scale bars in ‘<b>A</b>(a)’ (same in <b>A</b>(b), ‘<b>C</b>(a)’ (same in <b>C</b>(b)), ‘<b>D</b>(a)’ (same in <b>D</b>(b)), and ‘<b>F</b>(a)’ (same in <b>F</b>(b)) show 20 μm.</p>
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<p>Inhibition of ROS activity by treatments with EDV and GSK in M<sub>2</sub>-MACs. (<b>A</b>) Typical pseudo-colored images of the fluorescent compound 2,7-dichlorofluorescein oxidized by ROS 30 min after the treatments with vehicle (a), endovion (EDV, 1 μM) (b), and GSK2795039 (GSK, 10 μM) (c) in M<sub>2</sub>-MACs. The color bar is scaled in the same range, and the warmer colors represent higher ROS levels. (<b>B</b>) Summarized results of relative fluorescence intensity (1.0 at time 0 min) were obtained from the optical density of 2,7-dichlorofluorescein. Numbers used for experiments are shown in parentheses. The scale bar in ‘<b>A</b>(a)’ (same in <b>A</b>(b,c)) shows 20 μm. **: <span class="html-italic">p</span> &lt; 0.01 vs. the vehicle control.</p>
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<p>Effects of EDV on high [K<sup>+</sup>]<sub>e</sub>-stimulated IL-8 and IL-10 expression and secretion in M<sub>2</sub>-MACs. (<b>A</b>–<b>C</b>) Real-time PCR examination of IL-8 (<b>A</b>), IL-10 (<b>B</b>), and CEBPB (<b>C</b>) expression in normal [K<sup>+</sup>]<sub>e</sub> (5 mM) (−)- and high [K<sup>+</sup>]<sub>e</sub> (35 mM) (+)-treated M<sub>2</sub>-MACs for 24 h in the presence (+) or absence (−) of endovion (EDV; 10 μM) (<span class="html-italic">n</span> = 4 for each). (<b>D</b>,<b>E</b>) Quantitative detection of IL-8 (<b>D</b>) and IL-10 (<b>E</b>) secretion by an ELISA assay in vehicle- and EDV-treated M<sub>2</sub>-MACs for 24 h (<span class="html-italic">n</span> = 4 for each). (<b>F</b>–<b>H</b>) Real-time PCR examination of IL-8 (<b>F</b>), IL-10 (<b>G</b>), and CEBPB (<b>H</b>) expression in normal [K<sup>+</sup>]<sub>e</sub> (5 mM) (−)- and high [K<sup>+</sup>]<sub>e</sub> (35 mM) (+)-treated M<sub>2</sub>-MACs for 24 h in the presence (+) or absence (−) of GSK2796039 (GSK) (10 μM) (<span class="html-italic">n</span> = 4 for each). (<b>I</b>,<b>J</b>) Quantitative detection of IL-8 (<b>I</b>) and IL-10 (<b>J</b>) secretion by an ELISA assay in vehicle- and GSK-treated M<sub>2</sub>-MACs for 24 h (<span class="html-italic">n</span> = 4 for each). Both mRNA expression and cytokine secretion in normal [K<sup>+</sup>]<sub>e</sub> (−/−) are expressed as 1.0. **,<sup>##</sup>: <span class="html-italic">p</span> &lt; 0.01 vs. −/− and +/−, respectively.</p>
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<p>HDAC3-mediated transcriptional repression of LRRC8A in M<sub>2</sub>-MACs. (<b>A</b>–<b>C</b>) Real-time PCR examination of LRRC8A (<b>A</b>), NSUN2 (<b>B</b>), and YBX1 (<b>C</b>) in native THP-1 and M<sub>0</sub>- and M<sub>2</sub>-MACs (<span class="html-italic">n</span> = 4 for each). Expression levels are shown as the ratio to the ACTB. (<b>D</b>,<b>E</b>) Effects of the siRNA-mediated NSUN2 inhibition (siNSUN2) (<b>D</b>) and pharmacological inhibition of YBX-1 with SU056 (10 μM) for 12 h (<b>E</b>) on the expression levels of LRRC8A transcripts in M<sub>2</sub>-MACs (<span class="html-italic">n</span> = 4 for each). (<b>F</b>,<b>G</b>) Identification of histone deacetylase (HDAC) (<b>F</b>) and sirtuin (SIRT) (<b>G</b>) isoforms expressed in M<sub>2</sub>-MACs by a real-time PCR examination. Expression levels are shown as the ratio to the ACTB (<span class="html-italic">n</span> = 4 for each). (<b>H</b>) Effects of treatments with the pan-HDAC inhibitor, vorinostat (1 μM), the HDAC1/2 dual inhibitor, AATB (10 μM), the selective HDAC3 inhibitor, T247 (10 μM), and the selective SIRT1 inhibitor, Ex527 (1 μM), for 24 h on the expression levels of LRRC8A transcripts in M<sub>2</sub>-MACs. (<b>I</b>) Effects of siRNA-mediated HDAC3 inhibition (siHDAC3) on the LRRC8A expression levels in M<sub>2</sub>-MACs. mRNA expression levels in siCont and the vehicle control are expressed as 1.0 (<span class="html-italic">n</span> = 4 for each). **: <span class="html-italic">p</span> &lt; 0.01 vs. the vehicle control or siCont.</p>
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17 pages, 785 KiB  
Article
Genetic Diversity of Promising Spring Wheat Accessions from Russia and Kazakhstan for Rust Resistance
by Elena Gultyaeva, Ekaterina Shaydayuk, Ekaterina Shreyder, Igor Kushnirenko and Vladimir Shamanin
Plants 2024, 13(17), 2469; https://doi.org/10.3390/plants13172469 - 4 Sep 2024
Viewed by 324
Abstract
Spring bread wheat (Triticum aestivum) is a major crop in Russia and in Kazakhstan. The rust pathogens, leaf rust caused by the fungus Puccinia triticina, stem rust incited by P. graminis and yellow rust caused by P. striiformis, are [...] Read more.
Spring bread wheat (Triticum aestivum) is a major crop in Russia and in Kazakhstan. The rust pathogens, leaf rust caused by the fungus Puccinia triticina, stem rust incited by P. graminis and yellow rust caused by P. striiformis, are the significant biotic factors affecting wheat production. In this study, 40 new promising spring wheat genotypes from the Kazakhstan-Siberia Network for Spring Wheat Improvement (KASIB) were tested for resistance to leaf, stem and yellow rust at the seedling stage, and for identification of rust resistance genes using molecular markers. In addition, the collection was tested for leaf rust resistance and grain yields in the South Urals agroclimatic zone of Russia in 2023. As a result, 16 accessions with seedling resistance to leaf rust, 21 to stem rust and 4 to yellow rust were identified. Three breeding accessions were resistant to all rust species, and nine to P. triticina and P. graminis. Wheat accessions resistant to leaf rust at the seedling stage were also resistant in the field. Molecular analysis showed the presence of cataloged resistance genes, Lr1, Lr3a, Lr9, Lr10, Lr19, Lr20, Lr24, Lr26, Sr15, Sr24, Sr25, Sr31, Sr38, Yr9 and Yr18; uncatalogued genes Lr6Agi1 and Lr6Agi2 from Thinopyrum intermedium and LrAsp from Aegilops speltoides; and 1AL.1RS translocation. The current analysis showed an increase in leaf and stem rust resistance of new KASIB genotypes and their genetic diversity due to the inclusion of alien genetic material in breeding. Full article
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<p>Response of KASIB accessions to race TTKTF of <span class="html-italic">Puccinia graminis</span> at the seedling stage. 1–40 wheat accessions according to <a href="#plants-13-02469-t001" class="html-table">Table 1</a>.</p>
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11 pages, 2095 KiB  
Article
ALCAT1-Mediated Pathological Cardiolipin Remodeling and PLSCR3-Mediated Cardiolipin Transferring Contribute to LPS-Induced Myocardial Injury
by Dong Han, Chenyang Wang, Xiaojing Feng, Li Hu, Beibei Wang, Xinyue Hu and Jing Wu
Biomedicines 2024, 12(9), 2013; https://doi.org/10.3390/biomedicines12092013 - 3 Sep 2024
Viewed by 392
Abstract
Cardiolipin (CL), a critical phospholipid situated within the mitochondrial membrane, plays a significant role in modulating intramitochondrial processes, especially in the context of certain cardiac pathologies; however, the exact effects of alterations in cardiolipin on septic cardiomyopathy (SCM) are still debated and the [...] Read more.
Cardiolipin (CL), a critical phospholipid situated within the mitochondrial membrane, plays a significant role in modulating intramitochondrial processes, especially in the context of certain cardiac pathologies; however, the exact effects of alterations in cardiolipin on septic cardiomyopathy (SCM) are still debated and the underlying mechanisms remain incompletely understood. This study highlights a notable increase in the expressions of ALCAT1 and PLSCR3 during the advanced stage of lipopolysaccharide (LPS)-induced SCM. This up-regulation potential contribution to mitochondrial dysfunction and cellular apoptosis—as indicated by the augmented oxidative stress and cytochrome c (Cytc) release—coupled with reduced mitophagy, decreased levels of the antiapoptotic protein B-cell lymphoma-2 (Bcl-2) and lowered cell viability. Additionally, the timing of LPS-induced apoptosis coincides with the decline in both autophagy and mitophagy at the late stages, implying that these processes may serve as protective factors against LPS-induced SCM in HL-1 cells. Together, these findings reveal the mechanism of LPS-induced CL changes in the center of SCM, with a particular emphasis on the importance of pathological remodeling and translocation of CL to mitochondrial function and apoptosis. Additionally, it highlights the protective effect of mitophagy in the early stage of SCM. This study complements previous research on the mechanism of CL changes in mediating SCM. These findings enhance our understanding of the role of CL in cardiac pathology and provide a new direction for future research. Full article
(This article belongs to the Special Issue Sepsis: Pathophysiology and Early Diagnostics)
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<p>Changes in cell death and oxidative stress in the LPS-induced HL-1 cardiac cells: (<b>a</b>) cell viability was scored by methyl thiazolyl tetrazolium (MTT) assay, <span class="html-italic">n</span> = 5 independent experiments; (<b>b</b>) the level of SOD activity decreased in LPS-induced HL-1 cells, <span class="html-italic">n</span> = 3 independent experiments; (<b>c</b>) the level of MDA activity increased in LPS-induced HL-1 cells, <span class="html-italic">n</span> = 3 independent experiments. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, compared with the control group.</p>
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<p>Changes in autophagy and apoptosis in the LPS-induced HL-1 cardiac cells: (<b>a</b>) Western blot images showing the time-course change in LC3-II in LPS-induced HL-1 cells, <span class="html-italic">n</span> = 5 independent experiments; (<b>b</b>) Western blot images showing the time-course change in P62 in LPS-induced HL-1 cells, <span class="html-italic">n</span> = 4 independent experiments; (<b>c</b>) Western blot images showing the change in BCL2 in LPS-induced HL-1 cells, <span class="html-italic">n</span> = 4 independent experiments; (<b>d</b>) Western blot images showing the change in cytochrome c in LPS-induced HL-1 cells, <span class="html-italic">n</span> = 3 independent experiments; (<b>e</b>) LC3 aggregation quantified under confocal fluorescence microscopy. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, compared with the control group.</p>
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<p>Changes in mitophagy in the LPS-induced HL-1 cardiac cells. Representative TEM images of HL-1 cells in control, LPS-treated for 4 h, LPS-treated for 24 h. The images below showcase an enlarged view delineated by the dashed boundary. Arrows, formation of autophagosomes.</p>
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<p>Changes in ALCAT1 protein and PLSCR3 protein in LPS-induced HL-1 cells: (<b>a</b>) Western blot images showing the time-course change in ALCAT1 in LPS-induced HL-1 cells, <span class="html-italic">n</span> = 4 independent experiments; (<b>b</b>) Western blot images showing the time-course change in PLSCR3 in LPS-induced HL-1 cells, <span class="html-italic">n</span> = 4 independent experiments. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, compared with the control group.</p>
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15 pages, 1881 KiB  
Article
Variations in Root Characteristics and Cadmium Accumulation of Different Rice Varieties under Dry Cultivation Conditions
by Chaoping Shan, Can Shi, Xinran Liang, Yanqun Zu, Jixiu Wang, Bo Li and Jianjun Chen
Plants 2024, 13(17), 2457; https://doi.org/10.3390/plants13172457 - 2 Sep 2024
Viewed by 446
Abstract
Variations in the cadmium (Cd) accumulation and root characteristics of different genotypes of rice during three developmental periods of dry cultivation were investigated in pot experiments in which two levels of Cd were added to the soil (0 and 10 mg kg−1 [...] Read more.
Variations in the cadmium (Cd) accumulation and root characteristics of different genotypes of rice during three developmental periods of dry cultivation were investigated in pot experiments in which two levels of Cd were added to the soil (0 and 10 mg kg−1). The results show that the Cd concentration in each organ of the different rice genotypes decreased in both the order of roots > shoots > grains and during the three developmental periods in the order of the maturity stage > booting stage > tillering stage. The lowest bioaccumulation factor (BCF) and translocation factor (TF) were found in Yunjing37 (YJ37) under Cd stress. At maturity, Cd stress inhibited the root length of Dianheyou34 (DHY34) the most and that of Dianheyou 918 (DHY918) the least, also affecting the root volume of DHY34 and Dianheyou615 (DHY615) the most and that of YJ37 and Yiyou 673 (YY673) the least; the inhibition rates were 41.80, 5.09, 40.95, and 10.51%, respectively. The exodermis showed the greatest thickening in YY673 and the lowest thickening in DHY615, while the endodermis showed the opposite result. The rates of change were 16.48, 2.45, 5.10, and 8.49%, respectively. The stele diameter of DHY615 decreased the most, and that of YY673 decreased the least, while the secondary xylem area showed the opposite result; the rates of change were −21.50, −14.29, −5.86, and −26.35%, respectively. Under Cd stress treatment at maturity, iron plaque was extracted using the dithionite–citrate–bicarbonate (DCB) method. The concentration of iron (DCB-Fe) was highest in YJ37, and the concentration of cadmium (DCB-Cd) was lowest in DHY34. YJ37 was screened as a low Cd-accumulating variety. The concentration of available Cd in the rhizosphere soil, iron plaque, root morphology, and anatomy affect Cd accumulation in rice with genotypic differences. Our screening of Cd-accumulating rice varieties provides a basis for the dry cultivation of rice in areas with high background values of Cd in order to avoid the health risks of Cd intake. Full article
(This article belongs to the Special Issue Crop Plants and Heavy Metals)
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<p>The Cd concentrations in the various organs and rhizosphere soil of different genotypes of rice under dry cultivation conditions. (<b>a</b>) Cd concentrations in roots of different genotypes of rice in three developmental periods (<span class="html-italic">n</span> = 3); (<b>b</b>) Cd concentrations in shoots of different genotypes of rice in three developmental periods (<span class="html-italic">n</span> = 3); (<b>c</b>) Cd concentrations in grains of different genotypes of rice at maturity stage (<span class="html-italic">n</span> = 3); (<b>d</b>) available Cd concentrations in the rhizosphere soil of different genotypes of rice in three developmental periods. The values are the mean ± standard deviation (<span class="html-italic">n</span> = 3). Different letters represent significance at <span class="html-italic">p</span> &lt; 0.05 (Duncan) among the different genotypes of rice under the same treatment during the same stage of dry cultivation. CK represents a concentration of 0 mg kg<sup>−1</sup> Cd added externally to the soil. Cd treatment represents a concentration of 10 mg kg<sup>−1</sup> Cd added externally to the soil. Abbreviations: DHY34, Dianheyou 34; DHY615, Dianheyou 615; DHY918, Dianheyou 918; YY673, Yiyou 673; YJ37, Yunjing 37.</p>
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<p>The effect of Cd stress treatments on the BCF (<b>a</b>) and TF (<b>b</b>) values of different genotypes of rice under dry cultivation conditions. The BCF values use the date at maturity, and the TF values use the date in three developmental periods. The BCF was calculated using Equation (1) to evaluate the accumulation of Cd in soils and grains. The TF was calculated using Equation (2) to evaluate the upward conduction ability of Cd in roots and shoots. The values are the mean ± standard deviation (<span class="html-italic">n</span> = 3). Different letters represent significance at <span class="html-italic">p</span> &lt; 0.05 (Duncan) among the different genotypes of rice under the same treatment during the same stage of dry cultivation. CK represents a concentration of 0 mg kg<sup>−1</sup> Cd added externally to the soil. Cd treatment represents a concentration of 10 mg kg<sup>−1</sup> Cd added externally to the soil. Abbreviations: DHY34, Dianheyou 34; DHY615, Dianheyou 615; DHY918, Dianheyou 918; YY673, Yiyou 673; YJ37, Yunjing 37.</p>
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<p>Cluster analyses of Cd accumulation characteristic phenotypes. The grain Cd concentration, Cd accumulation, BCFs, and TFs of five different genotypes with Cd stress under dry cultivation conditions (<span class="html-italic">n</span> = 3). The Cd concentrations in grains and BCFs use the date at the maturity stage, while the Cd accumulation and TFs use the dates for the three developmental periods. Abbreviations: DHY34, Dianheyou 34; DHY615, Dianheyou 615; DHY918, Dianheyou 918; YY673, Yiyou 673; YJ37, Yunjing 37.</p>
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<p>The effect of the Cd stress treatment on the root morphology of different genotypes of rice under dry cultivation. (<b>a</b>) Inhibition rate of Cd stress treatment on the root lengths of 5 genotypes of rice under dry cultivation conditions in three developmental periods. (<b>b</b>) Inhibition rate of Cd stress treatment on the root volume of 5 genotypes of rice in three developmental periods. Fresh and clean whole roots were used to analyze root morphology. The inhibition rate was obtained using Equation (3) and represents the degree of inhibition of rice root morphology under the Cd stress treatments. The values are the mean ± standard deviation (<span class="html-italic">n</span> = 3). Different letters indicate significance at <span class="html-italic">p</span> &lt; 0.05 (Duncan) between the inhibition rates of the Cd stress treatments on the root length and root volume of different genotypes of rice at the same stage under dry cultivation conditions. Abbreviations: DHY34, Dianheyou 34; DHY615, Dianheyou 615; DHY918, Dianheyou 918; YY673, Yiyou 673; YJ37, Yunjing 37.</p>
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<p>The anatomy of the root systems of different rice genotypes under dry cultivation conditions. The scale bar is 250 μm. The number of rice root sections used for anatomical observation was 30 (<span class="html-italic">n</span> = 3). Abbreviations: DHY34, Dianheyou 34; DHY615, Dianheyou 615; DHY918, Dianheyou 918; YY673, Yiyou 673; YJ37, Yunjing 37.</p>
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<p>Rates of change in the anatomical parameters of the root systems of different rice genotypes under dry cultivation conditions. The rates of change were calculated using Equation (3) to represent the extent of the effect of the Cd stress treatment on rice. The values are the mean ± standard deviation (n = 3). Different letters indicate significance at p &lt; 0.05 (Duncan) among the change rates. Abbreviations: DHY34, Dianheyou 34; DHY615, Dianheyou 615; DHY918, Dianheyou 918; YY673, Yiyou 673; YJ37, Yunjing 37.</p>
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<p>Effects of Cd stress treatments on DCB-Fe and DCB-Cd concentrations in different rice genotypes at maturity under dry cultivation. DCB-Fe indicates the Fe concentration in the iron plaque on the root surface, and DCB-Cd indicates the Cd concentration in the iron plaque on the root surface. The values are the mean ± standard deviation (<span class="html-italic">n</span> = 3). Different letters represent the variability of DCB-Fe and DCB-Cd concentrations among different rice genotypes in the same treatment at maturity. Abbreviations: DHY34, Dianheyou 34; DHY615, Dianheyou 615; DHY918, Dianheyou 918; YY673, Yiyou 673; YJ37, Yunjing 37.</p>
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<p>Correlation analysis of Cd accumulation in different genotypes of rice at maturity under dry cultivation. Correlation analyses (Pearson, <span class="html-italic">p</span> ≤ 0.05) between Cd concentrations in various rice organs and available Cd concentrations in the rhizosphere soil, root morphology, root anatomy, DCB-Fe, and DCB-Cd at maturity under Cd stress treatments. Asterisks indicate significance at * <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>An SEM showing the direct and indirect effects of Cd treatment, the available Cd concentrations in the rhizosphere soil, root morphology, root anatomy, root surface iron plaques, root Cd concentration, and shoot Cd concentration on grain Cd concentration (<b>a</b>). Standardized direct, indirect, and total effects of Cd treatment, available Cd concentrations in the rhizosphere soil, root morphology, root anatomy, root surface iron plaques, root Cd concentration, and shoot Cd (<b>b</b>). An SEM plotted using maturity data. Root morphology was analyzed using principal components for root length and root volume, and the first principal component was selected with a contribution of 78.60%. Root anatomy was analyzed using principal components for exodermis and endodermis thickness, and the first principal component was selected with a contribution of 71.13%. Iron plaque was analyzed using principal components for DCB-Fe and DCB-Cd concentration, and the first principal component was selected with a contribution of 81.73%. Numbers adjacent to arrows are standardized path coefficients, analogous to relative regression weights, and are indicative of the magnitude of the correlation. Continuous and dashed arrows indicate positive and negative relationships, respectively. The arrow width is proportional to the strength of the relationship. The proportion of variance explained (<span class="html-italic">R</span><sup>2</sup>) appears alongside every response variable in the model. Goodness-of-fit statistics for the model are shown at the bottom of the image. * <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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30 pages, 2340 KiB  
Review
Bio-Pathological Functions of Posttranslational Modifications of Histological Biomarkers in Breast Cancer
by Anca-Narcisa Neagu, Claudiu-Laurentiu Josan, Taniya M. Jayaweera, Hailey Morrissiey, Kaya R. Johnson and Costel C. Darie
Molecules 2024, 29(17), 4156; https://doi.org/10.3390/molecules29174156 - 2 Sep 2024
Viewed by 539
Abstract
Proteins are the most common types of biomarkers used in breast cancer (BC) theranostics and management. By definition, a biomarker must be a relevant, objective, stable, and quantifiable biomolecule or other parameter, but proteins are known to exhibit the most variate and profound [...] Read more.
Proteins are the most common types of biomarkers used in breast cancer (BC) theranostics and management. By definition, a biomarker must be a relevant, objective, stable, and quantifiable biomolecule or other parameter, but proteins are known to exhibit the most variate and profound structural and functional variation. Thus, the proteome is highly dynamic and permanently reshaped and readapted, according to changing microenvironments, to maintain the local cell and tissue homeostasis. It is known that protein posttranslational modifications (PTMs) can affect all aspects of protein function. In this review, we focused our analysis on the different types of PTMs of histological biomarkers in BC. Thus, we analyzed the most common PTMs, including phosphorylation, acetylation, methylation, ubiquitination, SUMOylation, neddylation, palmitoylation, myristoylation, and glycosylation/sialylation/fucosylation of transcription factors, proliferation marker Ki-67, plasma membrane proteins, and histone modifications. Most of these PTMs occur in the presence of cellular stress. We emphasized that these PTMs interfere with these biomarkers maintenance, turnover and lifespan, nuclear or subcellular localization, structure and function, stabilization or inactivation, initiation or silencing of genomic and non-genomic pathways, including transcriptional activities or signaling pathways, mitosis, proteostasis, cell–cell and cell–extracellular matrix (ECM) interactions, membrane trafficking, and PPIs. Moreover, PTMs of these biomarkers orchestrate all hallmark pathways that are dysregulated in BC, playing both pro- and/or antitumoral and context-specific roles in DNA damage, repair and genomic stability, inactivation/activation of tumor-suppressor genes and oncogenes, phenotypic plasticity, epigenetic regulation of gene expression and non-mutational reprogramming, proliferative signaling, endocytosis, cell death, dysregulated TME, invasion and metastasis, including epithelial–mesenchymal/mesenchymal–epithelial transition (EMT/MET), and resistance to therapy or reversal of multidrug therapy resistance. PTMs occur in the nucleus but also at the plasma membrane and cytoplasmic level and induce biomarker translocation with opposite effects. Analysis of protein PTMs allows for the discovery and validation of new biomarkers in BC, mainly for early diagnosis, like extracellular vesicle glycosylation, which may be considered as a potential source of circulating cancer biomarkers. Full article
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<p>PTMs of ERα in BC.</p>
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<p>PTMs of p53 tumor-suppressor protein in BC.</p>
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28 pages, 723 KiB  
Review
Multidrug-Resistant Bacteria in Immunocompromised Patients
by Alexandru Duhaniuc, Diana Păduraru, Eduard-Vasile Nastase, Felicia Trofin, Luminița-Smaranda Iancu, Cristina-Mihaela Sima and Olivia-Simona Dorneanu
Pharmaceuticals 2024, 17(9), 1151; https://doi.org/10.3390/ph17091151 - 30 Aug 2024
Viewed by 272
Abstract
The increasing incidence of antibiotic resistance in bacteria is a major problem in terms of therapeutic options, especially in immunocompromised patients, such as patients from intensive care units (ICUs), HIV-positive patients, patients with malignancies or transplant patients. Commensal bacteria, especially anaerobes, serve to [...] Read more.
The increasing incidence of antibiotic resistance in bacteria is a major problem in terms of therapeutic options, especially in immunocompromised patients, such as patients from intensive care units (ICUs), HIV-positive patients, patients with malignancies or transplant patients. Commensal bacteria, especially anaerobes, serve to maintain microbial stability by preventing overpopulation with pathogenic bacteria. In immunocompromised patients, microbiota imbalance caused by antibiotic therapy and decreased host immunity favors intestinal overpopulation with pathogenic species, leading to increased bacterial translocation and susceptibility to systemic infections. Infections with multidrug-resistant (MDR) bacteria pose major challenges to the establishment of appropriate treatment and lead to increased mortality. Asymptomatic colonization with MDR bacteria usually precedes infection and tends to persist for long periods of time, and in immunocompromised patients, colonization with MDR bacteria is a risk factor for systemic infections. This review aims to assess the relation between colonization and infection with MDR bacteria in immunocompromised patients such as ICU patients, HIV-positive patients and cancer patients and to identify the prevalence and patterns of MDR bacterial colonization and infection in this category of patients. Full article
(This article belongs to the Special Issue Infectious Disease Epidemiology and Pharmaceutical Development)
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<p>The selection process of the articles.</p>
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14 pages, 2252 KiB  
Article
Metals Transfer in Mushroom Tricholoma matsutake from Regional High Geochemical Background Areas: Environmental Influences and Human Health Risk
by Cuiting Wang, Jue Bi, Yukang Zhang, Yixuan Zhang and Xue Liu
J. Fungi 2024, 10(9), 608; https://doi.org/10.3390/jof10090608 - 26 Aug 2024
Viewed by 295
Abstract
Wild-grown edible mushrooms are important in world diets and are also efficient metal accumulators. Yunnan, Southwest China, is the main producing region, with typically high levels of geochemical metals. The environmental factors, bioaccumulation, distribution and human health risks of metals were examined in [...] Read more.
Wild-grown edible mushrooms are important in world diets and are also efficient metal accumulators. Yunnan, Southwest China, is the main producing region, with typically high levels of geochemical metals. The environmental factors, bioaccumulation, distribution and human health risks of metals were examined in paired soil and Tricholoma matsutake (n = 54). T. matsutake grows on acidified soils (pH = 3.95–6.56), and metals show a strong heterogeneity, with Fe, Mn, Zn and Cu in the ranges of 16–201, 0.046–8.58 g kg−1, and 22.6–215, 3.7–155 mg kg−1. High soil Fe content led to great accumulation in T. matsutake (0.24–18.8 g kg1). However, though the soil Mn content was higher than that of Zn and Cu, their concentrations in T. matsutake were comparable (21.1–487 vs. 38.7–329 and 24.9–217 mg kg1). This suggested that T. matsutake prefers to accumulate Zn and Cu compared to Mn, and this is supported by the bioaccumulation factors (BAFs = 0.32–17.1 vs. 0.006–1.69). Fe was mainly stored in stipes, while Mn, Zn and Cu were stored in caps, and the translocation factors (TFs) were 0.58 vs. 1.28–1.94. Therefore, stipe Fe showed the highest health risk index (HRI) at 1.28–26.9, followed by cap Cu (1.01–2.33), while 98–100% of the Mn and Zn were risk-free. The higher concentration and greater risk of Fe was attributed to the significant effect of soil Fe content (R = 0.34) and soil pH (R = −0.57). This study suggested that Fe, as an essential mineral, may exert toxic effects via the consumption of T. matsutake from high geochemical background areas. Full article
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<p>Distribution of 54 sampling sits in Luoji (n = 40) and Jiantang (n = 14), Yunnan Province, Southwest China.</p>
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<p>Metals (Fe, Mn, Zn, Cu) concentration in soils (<b>A</b>) and variations between the regions of Luoji (n = 40) and Jiantang (n = 14) (<b>B</b>). The bottom and top of the box represent the 25th and 75th percentiles and the error bars represent the minimum and maximum values within the normal range. The solid lines inside the box represent the median value.</p>
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<p>Metals (Fe, Mn, Zn, Cu) concentrations in <span class="html-italic">T</span>. <span class="html-italic">matsutake</span> cap and stipe and comparisons between the regions of Luoji (n = 40) and Jiantang (n = 14). The bottom and top of the box represent the 25th and 75th percentiles and the error bars represent the minimum and maximum values within the normal range. The solid lines inside the box represent the median value.</p>
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<p>Bioaccumulation factor (BAF) of Fe, Mn, Zn and Cu in cap (<b>A</b>) and stipe (<b>B</b>) and the translocation factor (TF) (<b>C</b>) in <span class="html-italic">T</span>. <span class="html-italic">matsutake</span> (n = 54). BAF &gt; 1 and TF &gt; 1 (red line) indicates that <span class="html-italic">T</span>. <span class="html-italic">matsutake</span> possesses accumulating or stipe-to-cap translocating ability towards the given element, respectively.</p>
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<p>Health risk index (HRI) of Fe, Mn, Zn and Cu via ingestion of <span class="html-italic">T</span>. <span class="html-italic">matsutake</span> cap (<b>A</b>) and stipe (<b>B</b>) (n = 54). HRI &gt; 1 (blue line) indicates there is a potential health risk of the element via consumption of the <span class="html-italic">T</span>. <span class="html-italic">matsutake</span> cap or stipe.</p>
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<p>Correlations of metals (Fe, Mn, Zn and Cu) concentration in <span class="html-italic">T</span>. <span class="html-italic">matsutake</span> cap and stipe with soil pH, organic matter content (OM) and metals concentration with significance at <span class="html-italic">p</span> &lt; 0.05 (*) or <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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15 pages, 3632 KiB  
Article
Glutamic-Alanine Rich Glycoprotein from Undaria pinnatifida: A Promising Natural Anti-Inflammatory Agent
by Md Saifur Rahman, Md Badrul Alam, Marufa Naznin, Mst Hur Madina and S. M. Rafiquzzaman
Mar. Drugs 2024, 22(9), 383; https://doi.org/10.3390/md22090383 - 26 Aug 2024
Viewed by 468
Abstract
This study aimed to assess the anti-inflammatory properties of a bioactive glutamic-alanine rich glycoprotein (GP) derived from Undaria pinnatifida on both LPS-stimulated RAW264.7 cells, peritoneal macrophages, and mouse models of carrageenan- and xylene-induced inflammation, investigating the underlying molecular mechanisms. In both in-vitro and [...] Read more.
This study aimed to assess the anti-inflammatory properties of a bioactive glutamic-alanine rich glycoprotein (GP) derived from Undaria pinnatifida on both LPS-stimulated RAW264.7 cells, peritoneal macrophages, and mouse models of carrageenan- and xylene-induced inflammation, investigating the underlying molecular mechanisms. In both in-vitro and in-vivo settings, GP was found to reduce the expression of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2) while also inhibiting the production of nitric oxide (NO) and prostaglandin E2 (PGE2) in response to lipopolysaccharide (LPS) stimulation. GP treatment significantly impeded the nuclear translocation of the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) pathway by blocking the phosphorylation of IKKα and IκBα, leading to a reduction in proinflammatory cytokines such as tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and interleukin-6 (IL-6). Additionally, GP effectively inhibited the activation of mitogen-activated protein kinases (MAPKs), with specific inhibitors of p38 and extra-cellular signal regulated kinase (ERK) enhancing GP’s anti-inflammatory efficacy. Notably, GP administration at 10 mg/kg/day (p.o.) markedly reduced carrageenan-induced paw inflammation and xylene-induced ear edema by preventing the infiltration of inflammatory cells into targeted tissues. GP treatment also downregulated key inflammatory markers, including iNOS, COX-2, IκBα, and NF-κB, by suppressing the phosphorylation of p38 and ERK, thereby improving the inflammatory index in both carrageenan- and xylene-induced mouse models. These findings suggest that marine resources, particularly seaweeds like U. pinnatifida, could serve as valuable sources of natural anti-inflammatory proteins for the effective treatment of inflammation and related conditions. Full article
(This article belongs to the Special Issue The Bioactive Potential of Marine-Derived Peptides and Proteins)
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<p>Cell viability and inhibitory effect of GP on NO and PEG<sub>2</sub> in LPS-stimulated RAW 264.7 and peritoneal cells. (<b>A</b>,<b>D</b>) Viability of RAW 264.7 macrophages and peritoneal macrophages, respectively, after exposure to 0.5 μg/mL LPS. Viability was expressed as a percentage of the non-treated control (NT) and non-significant (ns) changes in cell viability, indicating no cytotoxic effects. (<b>B</b>,<b>E</b>) NO generation in RAW 264.7 and peritoneal macrophages, respectively. L-NIL/NS-398 was used as a positive control. (<b>C</b>,<b>F</b>) Production of PGE<sub>2</sub> in RAW 264.7 and peritoneal macrophages, respectively. Statistical significance is indicated as follows: ns (not significant); (#) indicates <span class="html-italic">p</span> &lt; 0.05 vs. NT. (**) indicates <span class="html-italic">p</span> &lt; 0.05 vs. LPS alone. The data are shown as the mean ± SD of three independent experiments.</p>
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<p>Effects of GP on LPS-induced iNOS and COX-2 in macrophages. (<b>A</b>,<b>C</b>) Quantitative PCR analysis of iNOS and COX-2 mRNA levels in GP treated (5, 10, and 20 µg/mL) RAW 264.7 and peritoneal macrophages. (<b>B</b>,<b>D</b>) Quantification of iNOS and COX-2 protein expression levels in RAW 264.7 and peritoneal macrophages. The fold change is normalized to NT using β-actin as a loading control. (#) indicates <span class="html-italic">p</span> &lt; 0.05 vs. NT; (**) indicates <span class="html-italic">p</span> &lt; 0.05 vs. LPS alone. The data are shown as the mean ± SD of three independent experiments.</p>
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<p>Cytokine expression and secretion in macrophage cultures. (<b>A</b>,<b>C</b>) Quantitative analysis of mRNA expression levels of TNF-α, IL-1β, and IL-6 in RAW 264.7 and peritoneal macrophages. Treatments included non-treatment (NT), LPS alone, or co-treatment with GP at 5, 10, and 20 μg/mL. (<b>B</b>,<b>D</b>) TNF-α, IL-1β, and IL-6 levels were measured in pg/mL in RAW 264.7 and peritoneal macrophages. (#) indicates <span class="html-italic">p</span> &lt; 0.05 vs. NT; (**) indicates <span class="html-italic">p</span> &lt; 0.05 vs. LPS alone. The data are shown as the mean ± SD of three independent experiments.</p>
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<p>Effects of GP on NF-κB activation pathway in LPS-stimulated macrophages. (<b>A</b>) RAW 264.7 macrophage NF-κB luciferase reporter assay evaluating GP pre-treatment. To reduce NF-κB activity, cells were non-treated (NT), treated with LPS (0.5 μg/mL), or pre-treated with GP at 5, 10, or 20 μg/mL before LPS stimulation. (<b>B</b>,<b>F</b>) Western blot of RAW264.7 and peritoneal cell phosphorylated p65 (p-p65). (<b>C</b>) Immunofluorescence staining displays NF-κB p65 subunit (green) and nuclei (red, PI-stained) in RAW 264.7 cells. (<b>D</b>,<b>G</b>) Western blot analysis shows the expression of phosphorylated IKKα (p-IKKα) in RAW264.7 and peritoneal macrophages after GP administration. (<b>E</b>,<b>H</b>) In RAW264.7 and peritoneal macrophages treated with GP before LPS exposure, Western blot analysis showes expression of phosphorylated IκBα (p-IκBα). (#) indicates <span class="html-italic">p</span> &lt; 0.05 vs. NT; (**) indicates <span class="html-italic">p</span> &lt; 0.05 vs. LPS alone. The data are shown as the mean ± SD of three independent experiments.</p>
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<p>GP attenuates LPS-induced activation of MAPK pathways. (<b>A</b>) Representative Western blots and densitometry analysis of phosphorylated and total p38 (p-p38/p38), ERK (p-ERK/ERK), and JNK (p-JNK/JNK) in cells treated with LPS and varying concentrations of GP (5, 10, 20 µg/mL). β-actin serves as a loading control. (<b>B</b>) NO production was quantified by Griess assay in cells pre-treated with GP (20 µg/mL) or PDTC before LPS stimulation. NO levels are expressed as fold change over NT (non-treated) control. (<b>C</b>) ELISA measured PGE<sub>2</sub> concentrations in cell culture supernatants after treatment with LPS, GP, and PDTC. Δ <span class="html-italic">p</span> &lt; 0.05 compared to LPS + GP20 treatment. ‘ns’ denotes not significant. (#) indicates <span class="html-italic">p</span> &lt; 0.05 vs. NT; (**) indicates <span class="html-italic">p</span> &lt; 0.05 vs. LPS alone. The data are shown as the mean ± SD of three in-dependent experiments.</p>
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<p>Effects in models of paw inflammation and ear edema. (<b>A</b>–<b>C</b>) The experimental six mice/group. The control, C1, received dH<sub>2</sub>O; C2, carrageenan-induced inflammation; C3, indomethacin; and C4, GP (10 mg/kg/day, p.o.) for 6 days. (<b>A</b>) Representative paw images from each group indicate carrageenan-induced inflammation. (<b>B</b>) Paw edema development over 6 h post-carrageenan injection (left <span class="html-italic">y</span>-axis) and overall edema volume (right <span class="html-italic">y</span>-axis) for each group. (<b>C</b>) Hematoxylin–eosin-stained paw tissue sections with yellow arrows suggest inflammatory cell infiltration. Right: quantified inflammatory score. (<b>D</b>–<b>F</b>) Western blot analyses show iNOS and COX-2 expression, NF-κB pathway phosphorylation (p-IκBα and p-p65), and MAPK pathway phosphorylation (p-p38 and p-ERK1/2) among groups. (<b>G</b>,<b>H</b>) The experimental mice groups had six mice each. X1 received dH<sub>2</sub>O as the control, X2 received xylene (xyl)-induced ear edema, X3 received indomethacin (indo), and X4 received GP (10 mg/kg/day, p.o.) for 6 days. In the xylene-induced ear edema model, ear tissue thickness demonstrates edema severity for each group. Edema and inflammatory cell infiltration are visible in stained ear tissue (red arrows). A hash symbol (#) indicates a significant difference from C1 or X1, whereas an asterisk (**) indicates a significant difference from C2 or X2 (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Mechanism of GP in inhibiting NF-κB-mediated inflammation.</p>
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11 pages, 235 KiB  
Article
Association of Functional Polymorphisms in MSH3 and IL-6 Pathway Genes with Different Types of Microsatellite Instability in Sporadic Colorectal Cancer
by Anamarija Salar, Kristina Vuković Đerfi, Arijana Pačić, Anita Škrtić, Tamara Cacev and Sanja Kapitanović
Cancers 2024, 16(16), 2916; https://doi.org/10.3390/cancers16162916 - 22 Aug 2024
Viewed by 473
Abstract
Microsatellite instability (MSI) has been recognized as an important factor in colorectal cancer (CRC). It arises due to deficient mismatch repair (MMR), mostly attributed to MLH1 and MSH2 loss of function leading to a global MMR defect affecting mononucleotide and longer microsatellite loci. [...] Read more.
Microsatellite instability (MSI) has been recognized as an important factor in colorectal cancer (CRC). It arises due to deficient mismatch repair (MMR), mostly attributed to MLH1 and MSH2 loss of function leading to a global MMR defect affecting mononucleotide and longer microsatellite loci. Recently, microsatellite instability at tetranucleotide loci, independent of the global MMR defect context, has been suggested to represent a distinct entity with possibly different consequences for tumorigenesis. It arises as a result of an isolated MSH3 loss of function due to its translocation from the nucleus to the cytoplasm under the influence of interleukin-6 (IL-6). In this study the influence of MSH3 and IL-6 signaling pathway polymorphisms (MSH3 exon 1, MSH3+3133A/G, IL-6-174G/C, IL-6R+48892A/C, and gp130+148G/C) on the occurrence of different types of microsatellite instability in sporadic CRC was examined by PCR–RFLP and real-time PCR SNP analyses. A significant difference in distribution of gp130+148G/C genotypes (p = 0.037) and alleles (p = 0.031) was observed in CRC patients with the C allele being less common in tumors with di- and tetranucleotide instability (isolated MSH3 loss of function) compared to tumors without microsatellite instability. A functional polymorphism in gp130 might modulate the IL-6 signaling pathway, directing it toward the occurrence of microsatellite instability corresponding to the IL-6-mediated MSH3 loss of function. Full article
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