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11 pages, 1476 KiB  
Article
The Emerging Role of Colchicine to Inhibit NOD-like Receptor Family, Pyrin Domain Containing 3 Inflammasome and Interleukin-1β Expression in In Vitro Models
by Tri Astiawati, Mohammad Saifur Rohman, Titin Wihastuti, Hidayat Sujuti, Agustina Endharti, Djanggan Sargowo, Delvac Oceandy, Bayu Lestari, Efta Triastuti and Ricardo Adrian Nugraha
Biomolecules 2025, 15(3), 367; https://doi.org/10.3390/biom15030367 - 3 Mar 2025
Viewed by 217
Abstract
While the beneficial effects of colchicine on inflammation and infarcted myocardium have been documented, its impact on cardiac fibroblast activation in the context of myocardial infarction (MI) remains unknown. This study aimed to investigate the effect of colchicine on the regulation of NOD-like [...] Read more.
While the beneficial effects of colchicine on inflammation and infarcted myocardium have been documented, its impact on cardiac fibroblast activation in the context of myocardial infarction (MI) remains unknown. This study aimed to investigate the effect of colchicine on the regulation of NOD-like receptor family, pyrin domain containing 3 (NLRP3) inflammasome activation and Interleukin-1β (IL-1β) expression in fibroblasts. 3T3 fibroblasts were exposed to 600 μM CoCl2 for 24 h to simulate hypoxia, with normoxic cells as controls. Colchicine (1 μM) was administered for 24 h. ASC-NLRP3 colocalization and IL-1β expression were evaluated using immunofluorescence and flow cytometry, respectively. Data were analyzed using t-tests and one-way ANOVA with post hoc tests. Hypoxia treatment significantly induced apoptosis-associated speck-like protein containing a CARD (ASC)-NLRP3 colocalization (p < 0.05). Colchicine treatment of hypoxic 3T3 cells reduced ASC-NLRP3 colocalization, although this reduction was not statistically significant. Additionally, IL-1β expression was significantly inhibited in colchicine-treated hypoxic 3T3 cells compared to those treated with placebo (p < 0.05). The findings of this study indicate that colchicine treatment inhibits the activation of the NLRP3 inflammasome by disrupting the colocalization of ASC and NLRP3, thereby reducing IL-1β expression in CoCl2-treated 3T3 cells. Full article
(This article belongs to the Special Issue Molecular Biomarkers in Cardiology 2025)
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Figure 1
<p>This figure illustrates immunofluorescence staining on 3T3 cells following various exposures, i.e., (<b>A</b>) normal condition treated with vehicle; (<b>B</b>) normal condition treated with colchicine; (<b>C</b>) ischemic condition treated with vehicle; and (<b>D</b>) ischemic condition treated with colchicine. ASC (labeled in red) and NLRP3 (labeled in green) protein co-localization configured yellow specks signifying ASC-dependent inflammasome activation. The bottom images are identical to the top images, with representative yellow arrows indicating ASC specks. All experiments were performed five times; figures are from one representative replicate. Images were taken at 40× magnification; scale bars are 50 µm. Created using BioRender.com (Science Suite Inc., Toronto, ON, Canada).</p>
Full article ">Figure 2
<p>This figure illustrates colocalization speck intensity as a ratio of ASC fluorescence intensity, revealing ASC-NLRP3 complex formation. There is no significant difference in ASC-NLRP3 colocalization in colchicine vs. placebo within the same condition related to ischemic condition (cobalt chloride exposure). Red colors defined the normal condition, whereas blue colors defined the hypoxic/ischaemic condition. * The statistical significance was identified in the control group under ischemic conditions compared to normal conditions treated with either placebo-treated or colchicine-treated hypoxic cells (<span class="html-italic">n</span> = 5; <span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 3
<p>This figure illustrates the effect of colchicine treatment in normoxic and hypoxic 3T3 cells. (<b>A</b>) Absolute number of IL-1β-positive expressions among cell cultures from immunofluorescence staining; (<b>B</b>) relative number of IL-1β-positive expressions among cell cultures. The IL-1β expression was significantly reduced in colchicine-treated hypoxic cells compared to placebo-treated hypoxic cells (62.58 ± 1.41% vs. 45.33 ± 10.22%, <span class="html-italic">n</span> = 5; <span class="html-italic">p</span> &lt; 0.001).</p>
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25 pages, 33164 KiB  
Article
Poria cocos-Derived Exosome-like Nanovesicles Alleviate Metabolic Dysfunction-Associated Fatty Liver Disease by Promoting Mitophagy and Inhibiting NLRP3 Inflammasome Activation
by Tao Wang, Jun Zhao, Qiu-Yi Li, Hui-Qiong Yang, Min Li, Rong Duan, Mei Zhang, Yan Qi, Jie Yu and Xing-Xin Yang
Int. J. Mol. Sci. 2025, 26(5), 2253; https://doi.org/10.3390/ijms26052253 - 3 Mar 2025
Viewed by 146
Abstract
Metabolic dysfunction-associated fatty liver disease (MAFLD) affects approximately one-quarter of the world’s adult population, and no effective therapeutic drugs are available. Poria cocos is a fungus used as a herb and food nutrient for centuries as well as for MAFLD treatment. Exosome-like nanovesicles [...] Read more.
Metabolic dysfunction-associated fatty liver disease (MAFLD) affects approximately one-quarter of the world’s adult population, and no effective therapeutic drugs are available. Poria cocos is a fungus used as a herb and food nutrient for centuries as well as for MAFLD treatment. Exosome-like nanovesicles have many pharmacological activities; however, studies on the effects of Poria cocos-derived exosome-like nanovesicles (PCELNs) on MAFLD are lacking. Therefore, our study aimed at identifying the effects and mechanism of action of PCELNs on MAFLD. PCELNs were isolated by ultracentrifugation and their morphology was characterized, such as particle size, zeta potential, protein distributions, as well as lipid and miRNA compositions. Then, the absorption and distribution of PCELNs were observed in vivo and in vitro. Finally, L02 cell steatosis model induced by fat emulsion and MAFLD mouse model induced by high-fat diet (HFD) were used to evaluate the effect and mechanism of PCELNs on MAFLD. PCELNs were membrane structured vesicles, with a particle size of 161.4 ± 1.7 nm, a zeta potential of −3.20 ± 0.37 mV, and contained a range of proteins, lipids, and miRNAs. PCELNs were absorbed by L02 cells and targeted the liver and spleen after intraperitoneal injection. PCELNs inhibited body weight gain and improved the index of heart, liver, spleen, and various fats, as well as decreased lipid accumulation and lipid level. They also protected mitochondrial ultrastructure and regulated oxidative stress and energy metabolism disorder. Furthermore, PCELNs increased PTEN induced kinase 1 (PINK1), E3 ubiquitin ligase (Parkin) and microtubule associated protein light chain-3 (LC3) protein expression in the liver, reduced oxidized mitochondrial DNA (Ox-mtDNA) content in mitochondria and cytoplasm of the liver, reduced nucleotide binding oligomerization domain-like receptor protein 3 (NLRP3), pro-cysteinyl aspartate specific proteinase-1 (caspase-1), cleared-caspase-1, and mature-interleukin-1β (IL-1β) protein expression in the liver, and reduced the levels of tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), IL-1β, and interleukin-18 (IL-18) in serum and liver. In conclusion, we demonstrated that PCELNs may alleviate HFD-induced MAFLD by promoting mitochondrial autophagy and inhibiting NLRP3 inflammasome activation. Full article
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Figure 1
<p>Physicochemical characterization and composition of PCELNs. (<b>A</b>) TEM image of PCELNs (scale bar = 100 nm). (<b>B</b>,<b>C</b>) Size distribution of PCELNs. (<b>D</b>) Zeta potential of PCELNs (Repeat the test three times). (<b>E</b>) Protein gel electrophoresis of PCELNs. (<b>F</b>) TLC image and (<b>G</b>) lipidomic analysis of PCELNs. (<b>H</b>) Classification of small nucleic acids contained in PCELNs. (<b>I</b>) Composition and proportion of top 10 miRNAs in PCELNs. (<b>J</b>) GO and (<b>K</b>) KEGG enrichment analysis of top 10 miRNAs in PCELNs. PCELNs, <span class="html-italic">Poria cocos</span>-derived exosome-like nanovesicles; TEM, transmission electron microscope; TLC, thin-layer chromatography; GO, Gene Ontology; KEGG, Kyoto encyclopedia of genes and genomes.</p>
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<p>Biocompatibility and cytotoxicity of PCELNs. (<b>A</b>) Uptake of PCELNs by L02 cells at different times and concentrations (scale bar = 10 µm). (<b>B</b>) Cytotoxicity of PCELNs on L02 cells for 24 h and 48 h. <span class="html-italic">n</span> = 3. Results were expressed as mean ± S.D.</p>
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<p>Effect of PCELNs on L02 cells. (<b>A</b>) Images of oil red O staining (scale bar = 100 µm). (<b>B</b>) Analysis of relative fat content. Cell levels of (<b>C</b>) TC, (<b>D</b>) TG, (<b>E</b>) ALT, (<b>F</b>) AST, (<b>G</b>) GSH, (<b>H</b>) SOD, (<b>I</b>,<b>J</b>) ROS, (<b>K</b>) Na<sup>+</sup>-K<sup>+</sup>-ATPase, (<b>L</b>) Ca<sup>2+</sup>-Mg<sup>2+</sup>-ATPase, (<b>M</b>) complex I, and (<b>N</b>) complex II. <span class="html-italic">n</span> = 3. Results were expressed as mean ± S.D. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. MOD group. NC, normal control; MOD, high-fat diet; FC, fenofibrate capsules; TG, triglyceride; TC, total cholesterol; AST, aspartate transaminase; ALT, alanine transaminase; SOD, superoxide dismutase; GSH, glutathione; ROS, reactive oxygen species; ATPase, ATP synthase; complex I, respiratory chain complex I; complex II, respiratory chain complex II.</p>
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<p>Effect of PCELNs on PINK1/Parkin-mediated mitophagy in L02 cells. (<b>A</b>) immunofluorescence images of PINK1, Parkin, LC3, and p62 (scale bar = 50 µm). Analysis of relative fluorescence intensity of (<b>B</b>) PINK1, (<b>C</b>) Parkin, (<b>D</b>) p62, and (<b>E</b>) LC3. <span class="html-italic">n</span> = 3. Results were expressed as mean ± S.D. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. MOD group. PINK1, PTEN induced kinase 1; Parkin, E3 ubiquitin ligase; LC3, microtubule associated protein light chain-3; p62, sequestosome 1.</p>
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<p>Biodistribution of PCELNs. (<b>A</b>) Biodistribution of PCELNs in mice after intraperitoneal injection. (<b>B</b>) Biodistribution of PCELNs in organs after intraperitoneal injection.</p>
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<p>Effect of PCELNs on body weight, food intake, organs, and fat index. (<b>A</b>) Body weight. (<b>B</b>) Body weight in last week. (<b>C</b>) Average daily food intake. (<b>D</b>) Heart, (<b>E</b>) liver, (<b>F</b>) spleen, (<b>G</b>) lung, (<b>H</b>) kidney, (<b>I</b>) WATi, (<b>J</b>) WATg, and (<b>K</b>) BAT index. <span class="html-italic">n</span> = 6. Results were expressed as mean ± S.D. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. MOD group. WATg, gonad white adipose tissue; WATi, inguinal white adipose tissue; BAT, brown adipose tissue; LPCELNs, low PCELN-treated group; MPCELNs, middle PCELN-treated group; HPCELNs, high PCELN-treated group.</p>
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<p>Effect of PCELNs on serum lipid-related parameters. Serum levels of (<b>A</b>) TC, (<b>B</b>) TG, (<b>C</b>) ALT, (<b>D</b>) AST, (<b>E</b>) HDL-C, (<b>F</b>) LDL-C. <span class="html-italic">n</span> = 6. Results were expressed as mean ± S.D. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. MOD group. HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol.</p>
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<p>Effect of PCELNs on liver lipid metabolism. (<b>A</b>) Images of oil red O staining (scale bar = 50 µm). (<b>B</b>) Analysis of relative fat content. (<b>C</b>) Hematoxylin and eosin (H&amp;E) images. Liver levels of (<b>D</b>) TC, (<b>E</b>) TG, (<b>F</b>) ALT, (<b>G</b>) AST, (<b>H</b>) LDL-C, and (<b>I</b>) HDL-C. <span class="html-italic">n</span> = 6. Results were expressed as mean ± S.D. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. MOD group.</p>
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<p>Effect of PCELNs on serum and liver inflammatory factors. Serum levels of (<b>A</b>) TNF-α, (<b>B</b>) IL-6, (<b>C</b>) IL-1β, and (<b>D</b>) IL-18. Expression of (<b>E</b>) TNF-α, (<b>F</b>) IL-6, (<b>G</b>) IL-1β, and (<b>H</b>) IL-18 in liver. <span class="html-italic">n</span> = 6. Results were expressed as mean ± S.D. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. MOD group. TNF-α, tumor necrosis factor-α; IL-6, interleukin-6; IL-1β, interleukin-1β; IL-18, interleukin-18.</p>
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<p>Effect of PCELNs on mitochondrial ultrastructure and function in liver. (<b>A</b>) TEM image of mitochondria (scale bar = 5 µm). Levels of (<b>B</b>) MDA, (<b>C</b>) GSH, (<b>D</b>) SOD, (<b>E</b>) ROS, (<b>F</b>) Na<sup>+</sup>-K<sup>+</sup>-ATPase, (<b>G</b>) Ca<sup>2+</sup>-Mg<sup>2+</sup>-ATPase, (<b>H</b>) complex I, and (<b>I</b>) complex II. <span class="html-italic">n</span> = 6. Results were expressed as mean ± S.D. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. MOD group. MDA, malondialdehyde.</p>
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<p>Mitophagy was involved in inhibition of NLRP3 inflammasome by PCELNs. (<b>A</b>) Immunoblotting images of PINK1, Parkin, p62, and LC3. Relative expression of (<b>B</b>) PINK1, (<b>C</b>) Parkin, (<b>D</b>) p62, and (<b>E</b>) LC3. Levels of (<b>F</b>) mitochondrial Ox-mtDNA and (<b>G</b>) cytoplasmic Ox-mtDNA. (<b>H</b>) immunoblotting images of NLRP3, pro-caspase-1, cleared-caspase-1, and mature-IL-1β. Relative expression of (<b>I</b>) NLRP3, (<b>J</b>) pro-caspase-1, (<b>K</b>) cleared-caspase-1, and (<b>L</b>) mature-IL-1β. <span class="html-italic">n</span> = 3. Results were expressed as mean ± S.D. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. MOD group. NLRP3, nucleotide binding oligomerization domain-like receptor protein 3; caspase-1, cysteinyl aspartate specific proteinase-1; Ox-mtDNA, oxidized mitochondrial DNA; 8-OHdG, 8-hydroxy-desoxyguanosine.</p>
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<p>PCELNs alleviated HFD-induced MAFLD by promoting mitophagy and inhibiting NLRP3 inflammasome activation.</p>
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17 pages, 5547 KiB  
Article
The Selective 3-MST Inhibitor I3MT-3 Works as a Potent Caspase-1 Inhibitor
by Kohei Otani, Ryuto Komatsu, Takuya Noguchi, Wakana Suzuki, Yusuke Hirata and Atsushi Matsuzawa
Int. J. Mol. Sci. 2025, 26(5), 2237; https://doi.org/10.3390/ijms26052237 - 2 Mar 2025
Viewed by 341
Abstract
I3MT-3 (HMPSNE) has been identified as a selective inhibitor of the supersulfide-producing enzyme 3-MST. In this study, we found that I3MT-3 inhibits inflammatory responses, including the secretion of the pro-inflammatory cytokine interleukin-1β (IL-1β) and inflammatory cell death pyroptosis, induced by the activation of [...] Read more.
I3MT-3 (HMPSNE) has been identified as a selective inhibitor of the supersulfide-producing enzyme 3-MST. In this study, we found that I3MT-3 inhibits inflammatory responses, including the secretion of the pro-inflammatory cytokine interleukin-1β (IL-1β) and inflammatory cell death pyroptosis, induced by the activation of the inflammasomes composed of NLRP1, NLRP3, or AIM2. However, interestingly, the knockdown of 3-MST did not affect the activation of the inflammasomes, suggesting that the inhibitory effect of I3MT-3 on inflammasome activation is mediated by alternative ways rather than the inhibition of 3-MST. Interestingly, an in vitro caspase assay revealed that I3MT-3 directly inhibits caspase-1 activation, and molecular docking simulations raised the possibility that the pyrimidone ring in I3MT-3 stabilizes direct interaction of I3MT-3 with caspase-1. Taken together, our data suggest that I3MT-3 inhibits inflammasome activation by targeting caspase-1, and show I3MT-3 as a potent inhibitor of caspase-1. Full article
(This article belongs to the Special Issue Programmed Cell Death and Oxidative Stress: 3rd Edition)
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Figure 1
<p>I3MT-3 inhibits inflammatory responses induced by the inflammasomes. (<b>A</b>) Structural formula of I3MT-3. (<b>B</b>) PMA-differentiated THP-1 cells were cotreated with the indicated concentrations of I3MT-3 or VX-765 (a caspase-1 inhibitor used as a positive control that inhibits Alum-induced IL-1β release), and 200 μg/mL Alum for 4 h [<a href="#B22-ijms-26-02237" class="html-bibr">22</a>]. Cell-free supernatants (Sup) and cell lysates were subjected to immunoblotting with the indicated antibodies. (<b>C</b>) PMA-differentiated THP-1 cells were pretreated with the indicated concentrations of I3MT-3 for 1 h and then treated with 40 μg/mL PMB for 2 h. Cell-free supernatants (Sup) and cell lysates were subjected to immunoblotting with the indicated antibodies. (<b>D</b>) PMA-differentiated THP-1 cells were cotreated with the indicated concentrations of I3MT-3 and 3 μg/mL Poly dA:dT for 4 h. Cell-free supernatants (Sup) and cell lysates were subjected to immunoblotting with the indicated antibodies. (<b>E</b>) PMA-differentiated THP-1 cells were pretreated with the indicated concentrations of I3MT-3 for 1 h and then treated with 1 μM Talabostat for 3 h. Cell-free supernatants (Sup) and cell lysates were subjected to immunoblotting with the indicated antibodies. (<b>F</b>,<b>G</b>) PMA-differentiated THP-1 cells were cotreated with the indicated concentrations of I3MT-3, or VX-765 as a positive control, and 200 μg/mL Alum for 4 h (<b>F</b>), or 3 μg/mL Poly dA:dT for 4 h (<b>G</b>). IL-1β release was analyzed by ELISA. Data shown are the mean ± S.D. Significant differences were determined by one-way ANOVA, followed by the Tukey–Kramer test; *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01, * <span class="html-italic">p</span> &lt; 0.05, N.S. not significant. (<b>H</b>) PMA-differentiated THP-1 cells were pretreated with the indicated concentrations of I3MT-3 for 1 h and then treated with 1 μM Talabostat for 3 h. IL-1β release was analyzed by ELISA. Data shown are the mean ± S.D. Significant differences were determined by one-way ANOVA, followed by the Tukey–Kramer test; *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01. (<b>I</b>,<b>J</b>) BMDMs were treated with the indicated concentrations of I3MT-3 and 100 ng/mL LPS for 4 h, and then treated with 5 μM nigericin for 1.5 h (<b>I</b>), or 1 mM ATP for 1.5 h (<b>J</b>). IL-1β release was analyzed by ELISA. Data shown are the mean ± S.D. Significant differences were determined by one-way ANOVA, followed by the Tukey–Kramer test; *** <span class="html-italic">p</span> &lt; 0.001. (<b>K</b>) The inhibitory effect of I3MT-3 on inflammatory cell death. PMA-differentiated THP-1 cells were cotreated with the indicated concentrations of I3MT-3 and 200 μg/mL Alum for 4 h. Cell cytotoxicity was measured by LDH release assay. Data shown are the mean ± S.D. Significant differences were determined by one-way ANOVA, followed by the Tukey–Kramer test; *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01. (<b>L</b>) Mice were treated with 1 µg LPS and 20 mg/kg I3MT-3 by intraperitoneal injection (IP) for 2 h, and then treated with 20 mg/kg gefitinib by IP. After 1 h, peritoneal lavage fluid was collected, and IL-1β levels were analyzed by ELISA. Data shown are the mean ± S.D. (<span class="html-italic">n</span> = 3). Significant differences were determined by one-way ANOVA, followed by the Tukey–Kramer test; ** <span class="html-italic">p</span> &lt; 0.01, * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>I3MT-3 inhibits inflammasome activation independently of 3-MST inhibition. (<b>A</b>) PMA-differentiated control or 3-MST KD THP-1 cells were cotreated with 50 μM I3MT-3 and 200 μg/mL Alum for 4 h. Cell-free supernatants (Sup) and cell lysates were subjected to immunoblotting with the indicated antibodies. (<b>B</b>,<b>C</b>) PMA-differentiated control or 3-MST KD THP-1 cells were cotreated with 50 μM I3MT-3 and 200 μg/mL Alum for 4 h (<b>B</b>), or 3 μg/mL Poly dA:dT for 4 h (<b>C</b>). IL-1β release was analyzed by ELISA. Data shown are the mean ± S.D. Significant differences were determined by one-way ANOVA, followed by the Tukey–Kramer test; *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01, * <span class="html-italic">p</span> &lt; 0.05. (<b>D</b>) PMA-differentiated control or 3-MST KD THP-1 cells were pretreated with 50 μM I3MT-3 for 1 h and then treated with 1 μM Talabostat for 3 h. IL-1β release was analyzed by ELISA. Data shown are the mean ± S.D. Significant differences were determined by one-way ANOVA, followed by the Tukey–Kramer test; *** <span class="html-italic">p</span> &lt; 0.001. (<b>E</b>,<b>F</b>) PMA-differentiated THP-1 cells were pretreated with the indicated concentrations of TFA (<b>E</b>) or PAG for 24 h (<b>F</b>), and then treated with 200 μg/mL Alum for 4 h. Cell-free supernatants (Sup) and cell lysates were subjected to immunoblotting with the indicated antibodies.</p>
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<p>I3MT-3 does not affect the transcriptional upregulation of pro-IL-1β. (<b>A</b>) PMA-differentiated THP-1 cells were treated with the indicated concentrations of I3MT-3 or 10 μM ML120B for 6 h. Cell lysates were subjected to immunoblotting with the indicated antibodies. (<b>B</b>,<b>C</b>) PMA-differentiated THP-1 cells were treated with the indicated concentrations of I3MT-3 or 10 μM ML120B for 6 h. qRT-PCR was performed, with relative mRNA levels of IL-6 (<b>B</b>) or TNF-α (<b>C</b>). Data shown are the mean ± S.D. Significant differences were determined by one-way ANOVA, followed by the Tukey–Kramer test; *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01, N.S. not significant. (<b>D</b>) HEK293-TLR4 cells were pretreated with the indicated concentrations of I3MT-3 or 10 μM ML120B for 4 h and then treated with 100 ng/mL LPS for 4 h. Cell lysates were subjected to immunoblotting with the indicated antibodies. (<b>E</b>) HEK293-TLR4 cells were transfected with a plasmid and a Renilla luciferase plasmid for normalization. After 24 h, cells were pretreated with the indicated concentrations of I3MT-3 or 10 μM ML120B for 4 h and then treated with 100 ng/mL LPS for 4 h. Firefly and Renilla luciferase activities were quantified with a dual-luciferase assay kit. Data shown are the mean ± S.D. Significant differences were determined by one-way ANOVA, followed by the Tukey–Kramer test; ** <span class="html-italic">p</span> &lt; 0.01, * <span class="html-italic">p</span> &lt; 0.05, N.S. not significant.</p>
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<p>I3MT-3 exerts an inhibitory effect on inflammasome activation by targeting caspase-1 but not ASC. (<b>A</b>,<b>B</b>) HEK293A cells were transfected with plasmids of pro-caspase-1 and pro-IL-1β for 6 h, followed by overnight treatment with the above concentrations of I3MT-3. Cell-free supernatants (Sup) and cell lysates were subjected to immunoblotting with the indicated antibodies (<b>A</b>). IL-1β release was analyzed by ELISA (<b>B</b>). Data shown are the mean ± S.D. Significant differences were determined by one-way ANOVA, followed by the Tukey–Kramer test; *** <span class="html-italic">p</span> &lt; 0.001. (<b>C</b>) BMDMs were treated with the indicated concentrations of I3MT-3 and 100 ng/mL LPS for 4 h, and then treated with 1 mM ATP for 1.5 h. Cell-free supernatants (Sup) and cell lysates were subjected to immunoblotting with the indicated antibodies. (<b>D</b>) PMA-differentiated ASC KO THP-1 cells were pretreated with 50 µM I3MT-3 for 1 h and then treated with 1 μM Talabostat for 3 h. Cell-free supernatants (Sup) and cell lysates were subjected to immunoblotting with the indicated antibodies. (<b>E</b>) HEK293A cells were transfected with plasmids of Flag-pro-caspase-1 for 24 h and then treated with 50 μM I3MT-3 or 50 μM VX-765 for 4 h. Purified Flag-caspase-1 was incubated for 20 min at RT in assay buffer. Then Ac-WEHD-pNA Colorimetric substrate 100 µM was added, and it was incubated at 37 °C for 2 h. Activity was measured using a microplate reader and the absorbance was read at 405 nm. Data shown are the mean ± S.D. Significant differences were determined by one-way ANOVA, followed by the Tukey–Kramer test; *** <span class="html-italic">p</span> &lt; 0.001. (<b>F</b>) HT1080 cells were pretreated with the indicated concentrations of I3MT-3 for 24 h and then treated with 50 ng/mL FasL for 4 h. Cell lysates were subjected to immunoblotting with the indicated antibodies. (<b>G</b>) HEK293A cells were transfected with plasmids of Flag-pro-caspase-3 for 24 h and then treated with 50 μM I3MT-3 or 20 μM z-VAD-fmk for 4 h. Caspase-3 activity was measured by the Colorimetric caspase-3 assay. Data are shown as the ratio of caspase-3 activity versus the corresponding controls. Data shown are the mean ± S.D. Significant differences were determined by one-way ANOVA, followed by the Tukey–Kramer test; *** <span class="html-italic">p</span> &lt; 0.001, N.S. not significant.</p>
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<p>(<b>A</b>,<b>B</b>) Molecular docking to predict the binding of I3MT-3 to caspase-1 via AutoDock Vina, the results were visualized by PyMOL. The predicted binding conformation of caspase-1-I3MT-3 (<b>A</b>) and of caspase-1-VX-765 (<b>B</b>) are shown.</p>
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<p>Schematic model to explain our study. I3MT-3 inhibits mature IL-1β release and pyroptosis associated with inflammasome activation. Mechanistically, I3MT-3 selectively inhibits the activity of caspase-1, an essential protein common to all inflammasomes such as NLRP3, AIM2, and NLRP1, and thereby suppresses a wide range of inflammatory stimuli.</p>
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29 pages, 6948 KiB  
Article
Host-Mediated Antimicrobial Effects and NLRP3 Inflammasome Modulation by Caulerpin and Its Derivatives in Macrophage Models of Mycobacterial Infections
by Maria Gabriella S. Sidrônio, Maria Eugênia G. Freitas, Daniel W. A. Magalhães, Deyse C. M. Carvalho, Vinícius A. B. Gonçalves, Ana Caroline M. de Queiroz Oliveira, Gisela C. Paulino, Gabriela C. Borges, Rafaelle L. Ribeiro, Natália Ferreira de Sousa, Marcus T. Scotti, Demétrius A. M. de Araújo, Francisco Jaime B. Mendonça-Junior, Kristerson R. de Luna Freire, Sandra Rodrigues-Mascarenhas, Bárbara Viviana de O. Santos and Valnês S. Rodrigues-Junior
Microorganisms 2025, 13(3), 561; https://doi.org/10.3390/microorganisms13030561 - 1 Mar 2025
Viewed by 266
Abstract
Caulerpin, a bis-indole alkaloid isolated from Caulerpa racemosa, has several documented pharmacological activities, including antineoplastic and antiviral properties. This study aimed to evaluate the anti-inflammatory and anti-tubercular potentials of caulerpin and its analogues in RAW 264.7 macrophages infected with Mycobacterium spp. Additionally, [...] Read more.
Caulerpin, a bis-indole alkaloid isolated from Caulerpa racemosa, has several documented pharmacological activities, including antineoplastic and antiviral properties. This study aimed to evaluate the anti-inflammatory and anti-tubercular potentials of caulerpin and its analogues in RAW 264.7 macrophages infected with Mycobacterium spp. Additionally, we evaluated cytokine production and NLRP3 expression in this infection model. Toxicity tests were performed using Vero E6 and HepG2 cell lines and Artemia salina. Pre-incubation of RAW 264.7 cells with caulerpin and its analogues decreased internalized M. smegmatis and M. tuberculosis H37Ra. Furthermore, treatment of M. smegmatis-infected macrophages with caulerpin and its analogues reduced bacterial loads. Caulerpin reduced the CFU count of internalized bacilli in the M. tuberculosis H37Ra infection model. In addition, caulerpin and its diethyl derivative were notably found to modulate IL-1β and TNF-α production in the M. smegmatis infection model after quantifying pro-inflammatory cytokines and NLRP3. Caulerpin and its derivates did not affect the viability of Vero E6 and HepG2 cell lines or nauplii survival in toxicity studies. These findings demonstrate that caulerpin and its analogues exhibit anti-inflammatory activity against Mycobacterium spp. infection in RAW 264.7 macrophages and show promising potential for further efficacy and safety evaluation. Full article
(This article belongs to the Special Issue Development of New Drugs to Treat Infectious Diseases)
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<p>Chemical structure of CP.</p>
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<p>Both 2 and 3 are derivatives of CP (<b>1</b>). Reagents and conditions: (a) <b>2</b>: KOH, Me<sub>2</sub>SO<sub>4</sub>; MeOH, acetone/room temperature, magnetic stirring. (b) <b>3</b>: KOH, acetonitrile: water, 60 °C, magnetic stirring [<a href="#B15-microorganisms-13-00561" class="html-bibr">15</a>].</p>
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<p>Objects 4–7 are derivatives of CP (<b>1</b>). Reagents and conditions: (a) SOCl<sub>2</sub>, ethyl alcohol (<b>4</b>), propyl alcohol (<b>5</b>), isobutyl alcohol (<b>6</b>), amyl alcohol (<b>7</b>), 60 °C, magnetic stirring.</p>
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<p>Effects of CP and analogues on RAW 264.7 cells’ viability after 24 h incubation. CP (<b>A</b>), DE (<b>B</b>), CA (<b>C</b>), DP (<b>D</b>), Diisobutyl (<b>E</b>), <span class="html-italic">N</span>-methyl (<b>F</b>), and Diamyl (<b>G</b>). Control: 0.5% DMSO-treated wells, considered as 100% of cell viability.</p>
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<p>Effects of CP and analogues on RAW 264.7 cells’ viability after 48 h incubation. CP (<b>A</b>), DE (<b>B</b>), CA (<b>C</b>), and DP (<b>D</b>). Control: 0.5% DMSO-treated wells, considered as 100% of cell viability.</p>
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<p>Evaluation of the effects of CP and its analogues on the viability of <span class="html-italic">M. smegmatis</span> bacillus after 24 h incubation. CP (<b>A</b>), DE (<b>B</b>), CA (<b>C</b>), and DP (<b>D</b>). Control: 2.5% DMSO-treated group. *** <span class="html-italic">p</span> &lt; 0.001 and ** <span class="html-italic">p</span> &lt; 0.01 compared to the control. Data were evaluated by ANOVA, followed by Dunnett’s post hoc test, using GraphPad Prism 5.0.</p>
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<p>Effects of CP and its analogues in macrophages infected with <span class="html-italic">M. smegmatis</span>. CP (<b>A</b>), DE (<b>B</b>), CA (<b>C</b>), and DP (<b>D</b>). Control: 0.5% DMSO-treated group. *** <span class="html-italic">p</span> &lt; 0.001 ** <span class="html-italic">p</span> &lt; 0.01 and * <span class="html-italic">p</span> &lt; 0.05 compared to the control group. Data were evaluated by ANOVA, followed by Dunnett’s post hoc test, using GraphPad Prism 5.0.</p>
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<p>Effects of pre-incubation of CP and its analogues with RAW 264.7 infected with <span class="html-italic">M. smegmatis.</span> (<b>A</b>): immediately after 2 h of infection, (<b>B</b>): 12 h after infection. Control: 0.5% DMSO-treated group. *** <span class="html-italic">p</span> &lt; 0.001 and ** <span class="html-italic">p</span> &lt; 0.01 compared to the control group. Data were evaluated by ANOVA, followed by Dunnett’s post hoc test, using GraphPad Prism 5.0.</p>
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<p>Effects of CP and DE on cytokine levels and inflammasome (NLRP3) expression during infection of RAW 264.7 cells with <span class="html-italic">M. smegmatis</span> after 24 h incubation. Control: RAW 264.7 cells only; Infected Control: RAW 264.7 cells infected with <span class="html-italic">M. smegmatis</span> (MOI 1:1). CP: infected cells treated with CP (15 μM); DE: infected cells treated with DE (15 μM). *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01 and * <span class="html-italic">p</span> &lt; 0.05 compared to Infected Control; # <span class="html-italic">p</span> &lt; 0.1 compared to Control. Data were analyzed by ANOVA, followed by Tukey’s post hoc test, using GraphPad Prism 5.0. (<b>A</b>) TNF-α production in pg/mL; (<b>B</b>) IL-10 production in pg/mL; (<b>C</b>) IL-1β production in pg/mL; (<b>D</b>) MFI percentage in NLRP3+ cells.</p>
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<p>Evaluation of the effects of CP and its analogues on the viability of <span class="html-italic">M. tuberculosis</span> after 48 h incubation. Control: 2.5% DMSO-treated group. RIF: 0.03 μM. * <span class="html-italic">p</span> &lt; 0.05 compared to the control group. Data were evaluated by ANOVA, followed by Dunnett’s post hoc test, using GraphPad Prism 5.0.</p>
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<p>Effects of CP and its analogues in macrophages infected with <span class="html-italic">M. tuberculosis</span>. Incubation with CP for 24 h (<b>A</b>). Incubation with DE and CA for 24 h (<b>B</b>) and 48 h (<b>C</b>). Control: 0.5% DMSO-treated group. * <span class="html-italic">p</span> &lt; 0.05 compared to the control group. Data were evaluated by ANOVA, followed by Dunnett’s post hoc test, using GraphPad Prism 5.0.</p>
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<p>Effects of pre-incubation of CP and its analogues with RAW 264.7 infected with <span class="html-italic">M. tuberculosis.</span> (<b>A</b>): immediately after 3 h of infection, (<b>B</b>): 12 h after infection. Control: 0.5% DMSO-treated group. *** <span class="html-italic">p</span> &lt; 0.001 and * <span class="html-italic">p</span> &lt; 0.05 compared to the control group. Data were evaluated by ANOVA, followed by Dunnett’s post hoc test, using GraphPad Prism 5.0.</p>
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<p>Molecular interaction maps of the CP (<b>A</b>) and DE (<b>B</b>) compounds and Ibuprofen (<b>C</b>). Interactions: Conventional hydrogen interaction (dark green dashed line), carbon–hydrogen interaction (light green dashed line), alkyl interaction (light pink dashed line). Residues: Gln (Glutamine), Ile (Isoleucine), Ser (serine), Pro (Proline), Glu (Glutamic Acid), and Lys (Lysine).</p>
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<p>Molecular interaction maps of the CP (<b>A</b>) and DE (<b>B</b>) compounds and the PDB SC-558 ligand (<b>C</b>). Interactions: Conventional hydrogen interaction (dark green dashed line), carbon–hydrogen interaction (light green dashed line), alkyl and pi–alkyl interaction (light pink dashed line), Pi–Pi T-shaped and Pi–Stacked Amide interaction (dark pink dashed line), Pi–sigma interaction (purple), Pi–sulfur interaction (orange dashed line), unfavorable interaction (red dashed line). Residues: Val (Valine), Tyr (Tyrosine), Ser (serine), Val (Valine), Gly (Glycine), Trp (Tryptophan), Met (Methionine), Leu (Leucine), Ala (Alanine), Arg (Arginine), His (Histidine), Phe (Phenylalanine) and Gln (Glutamine).</p>
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<p>Effects of CP (<b>A</b>), DE (<b>B</b>), and CA (<b>C</b>) on Vero E6 viability after 24 h incubation. Control: 1.5% DMSO-treated group, considered as 100% of cell viability. *** <span class="html-italic">p</span> &lt; 0.001 compared to the control group. Data were evaluated by ANOVA, followed by Dunnett’s post hoc test, using GraphPad Prism 5.0.</p>
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<p>Effects of CP (<b>A</b>), DE (<b>B</b>), and CA (<b>C</b>) on HepG2 viability after 24 h incubation. Control: 1.5% DMSO-treated group, considered as 100% of cell viability. ** <span class="html-italic">p</span> &lt; 0.01 compared to the control group. Data were evaluated by ANOVA, followed by Dunnett’s post hoc test, using GraphPad Prism 5.0.</p>
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<p>Effects of CP (<b>A</b>), DE (<b>B</b>), and CA (<b>C</b>) on <span class="html-italic">A. salina</span> survival after 24 h incubation. Control: 2.5% DMSO-treated group considered as 100% of <span class="html-italic">A. salina</span> survival. *** <span class="html-italic">p</span> &lt; 0.001 ** <span class="html-italic">p</span> &lt; 0.01 compared to the control group. Data were evaluated by ANOVA, followed by Dunnett’s post hoc test, using GraphPad Prism 5.0.</p>
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<p>Summarization of the effects of CP, DE, and CA in RAW 264.7 macrophages infected with <span class="html-italic">Mycobacterium</span> spp.</p>
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20 pages, 4477 KiB  
Article
Dapansutrile Regulates Mitochondrial Oxidative Stress and Reduces Hepatic Lipid Accumulation in Diabetic Mice
by Ying Wu and Jiaqiang Zhou
Curr. Issues Mol. Biol. 2025, 47(3), 148; https://doi.org/10.3390/cimb47030148 - 25 Feb 2025
Viewed by 205
Abstract
(1) Background: Hepatic lipid accumulation is the initial factor in metabolic-associated fatty liver disease (MAFLD) in type 2 diabetics, leading to accelerated liver damage. The NOD-like receptor protein 3 (NLRP3) inflammasome plays a critical role in this process. Dapansutrile (DAPA) is a novel [...] Read more.
(1) Background: Hepatic lipid accumulation is the initial factor in metabolic-associated fatty liver disease (MAFLD) in type 2 diabetics, leading to accelerated liver damage. The NOD-like receptor protein 3 (NLRP3) inflammasome plays a critical role in this process. Dapansutrile (DAPA) is a novel NLRP3 inflammasome inhibitor; however, its effect on ectopic lipid accumulation in the liver remains unclear. This study aimed to investigate the therapeutic effect of DAPA on hepatic lipid accumulation in a diabetic mouse model and its potential mechanisms. (2) Methods: The effects of DAPA on hepatic ectopic lipid deposition and liver function under metabolic stress were evaluated in vivo using db/db and high-fat diet (HFD) + streptozotocin (STZ) mouse models. Additionally, the role and mechanism of DAPA in cellular lipid deposition, mitochondrial oxidative stress, and inflammation were assessed in HepG2 cells treated with free fatty acids (FFA) and DAPA. (3) Results: Our findings indicated that DAPA treatment improved glucose and lipid metabolism in diabetic mice, particularly addressing liver heterotopic lipid deposition and insulin resistance. DAPA treatment also ameliorated lipid accumulation and mitochondrial-related functions and inflammation in HepG2 cells through the NLRP3-Caspase-1 signaling axis. (4) Conclusions: Targeting NLRP3 with DAPA may represent a novel therapeutic approach for diabetes-related fatty liver diseases. Full article
(This article belongs to the Section Molecular Medicine)
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<p>Dapansutrile improved glucose and lipid metabolism in the HFD + STZ mouse model. (<b>A</b>) Body weight monitoring in the HFD + STZ mouse model (<span class="html-italic">n</span> = 5 mice per group). (<b>B</b>) Plasma glucose levels in the HFD + STZ mouse model (<span class="html-italic">n</span> = 5 mice per group). (<b>C</b>) Insulin levels in the HFD + STZ mouse model (<span class="html-italic">n</span> = 5 mice per group). (<b>D</b>,<b>E</b>) OGTT and AUC in the HFD + STZ mouse model (<span class="html-italic">n</span> = 5 mice per group). (<b>F</b>,<b>G</b>) ITT and AUC of the HFD + STZ mouse model (<span class="html-italic">n</span> = 5 mice per group). (<b>H</b>) Liver index (liver weight/body weight). (<b>I</b>) Liver total cholesterol (<span class="html-italic">n</span> = 5). (<b>J</b>) Liver triglycerides (<span class="html-italic">n</span> = 5). (<b>K</b>) Serum AST (<span class="html-italic">n</span> = 5). (<b>L</b>) Serum ALT (<span class="html-italic">n</span> = 5). Data are expressed as means ± SEM and were analyzed using one-way or two-way ANOVA and appropriate post hoc analyses (Tukey’s multiple comparison test). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, ns means not significant. Abbreviations: CTR: control; DAPA: Dapansutrile; HFD: high-fat diet; STZ: Streptozotocin; OGTT: oral glucose tolerance test; AUC: area under the curve; ITT: insulin tolerance test.</p>
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<p>Dapansutrile improved glucose and lipid metabolism in the db/db mouse model. (<b>A</b>) Body weight monitoring in the db/db mouse model (<span class="html-italic">n</span> = 5 mice per group). (<b>B</b>) Plasma glucose levels in the db/db mouse model (<span class="html-italic">n</span> = 5 mice per group). (<b>C</b>) Insulin levels in the db/db mouse model (<span class="html-italic">n</span> = 5 mice per group). (<b>D</b>,<b>E</b>) OGTT and AUC in the db/db mouse model (<span class="html-italic">n</span> = 5 mice per group). (<b>F</b>) Liver index (liver weight/body weight). (<b>G</b>) Liver total cholesterol (<span class="html-italic">n</span> = 5). (<b>H</b>) Liver triglycerides (<span class="html-italic">n</span> = 5). (<b>I</b>) Serum AST (<span class="html-italic">n</span> = 5). (<b>J</b>) Serum ALT (<span class="html-italic">n</span> = 5). Data are expressed as means ± SEM and were analyzed using one-way or two-way ANOVA and appropriate post hoc analyses (Tukey’s multiple comparison test). ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, ns means not significant. Abbreviations: CTR: control; DAPA: Dapansutrile; HFD: high-fat diet; STZ: Streptozotocin; OGTT: oral glucose tolerance test; AUC: area under the curve; ITT: insulin tolerance test.</p>
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<p>Dapansutrile alleviated liver lipid deposition. (<b>A</b>,<b>B</b>) Representative images of gross morphology, and liver tissues stained with H&amp;E and Oil red O (<span class="html-italic">n</span> = 3). The yellow arrow indicates lipid droplets, and the red arrow indicates inflammatory cell infiltration and focal necrosis.</p>
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<p>Dapansutrile improved lipid deposition in FFA-treated HepG2 cells by enhancing mitochondrial function. (<b>A</b>,<b>B</b>) Representative images of Oil Red O staining (<span class="html-italic">n</span> = 3). The yellow arrow indicates lipid droplets. (<b>C</b>) Representative images of TEM (<b>D</b>,<b>E</b>) Mito-Tracker Deep Red of HepG2 cells. (<b>F</b>,<b>G</b>) Measurements of mitochondrial ROS levels in HepG2 cells. (<b>H</b>,<b>I</b>) JC-1 staining of mitochondria in HepG2 cells. (<b>J</b>,<b>K</b>) Oxygen consumption rate (OCR) analysis of hepG2 cells (<span class="html-italic">n</span> = 3). CTR group: control; FFA group: 0.5 mM FFA; DAPA: 0.5 mM FFA + 10 μM DAPA. Data are expressed as means ± SEM and were analyzed using one-way or two-way ANOVA and appropriate post hoc analyses (Tukey’s multiple comparison test). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, ns means not significant. Abbreviations: CTR: control; FFA: free fatty acid; DAPA: Dapansutrile; NLRP3: NLR family pyrin domain-containing.</p>
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<p>Dapansutrile alleviated liver cell damage in FFA-treated HepG2 cells by targeting the NLRP3-Caspase-1 signaling axis. (<b>A</b>–<b>H</b>) Gene expression in mouse liver tissue of <span class="html-italic">NLRP3</span> (<b>A</b>), <span class="html-italic">Asc</span> (<b>B</b>), <span class="html-italic">Caspase-1</span> (<b>C</b>), <span class="html-italic">Gsdmd</span> (<b>D</b>), <span class="html-italic">IL-1β</span> (<b>E</b>), <span class="html-italic">IL-18</span> (<b>F</b>), <span class="html-italic">IL-6</span> (<b>G</b>), and <span class="html-italic">TNF-α</span> (<b>H</b>). (<b>I</b>–<b>L</b>) Gene expression in HepG2 of <span class="html-italic">NLRP3</span> (<b>A</b>), <span class="html-italic">Asc</span> (<b>B</b>), <span class="html-italic">Caspase-1</span> (<b>C</b>) and <span class="html-italic">Gsdmd</span> (<b>D</b>). (<b>M</b>–<b>R</b>) Western blot of NLRP3, ASC, Pro-Caspase-1, p20, and GSDMD in HepG2. (<b>S</b>,<b>T</b>) IL-1β and IL-18 release of cell supernatants. CTR group: control; FFA group: 0.5 mM FFA; DAPA: 0.5 mM FFA + 10 μM DAPA. Data are expressed as means ± SEM and were analyzed using one-way ANOVA and appropriate post hoc analyses (Tukey’s multiple comparison test). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001. Abbreviations: CTR: control; FFA: free fatty acid; DAPA: Dapansutrile; NLRP3: NLR family pyrin domain-containing 3; CASP1: Caspase-1.</p>
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30 pages, 1057 KiB  
Review
Endothelial Dysfunction: Redox Imbalance, NLRP3 Inflammasome, and Inflammatory Responses in Cardiovascular Diseases
by Claudia Penna and Pasquale Pagliaro
Antioxidants 2025, 14(3), 256; https://doi.org/10.3390/antiox14030256 - 23 Feb 2025
Viewed by 438
Abstract
Endothelial dysfunction (ED) is characterized by an imbalance between vasodilatory and vasoconstrictive factors, leading to impaired vascular tone, thrombosis, and inflammation. These processes are critical in the development of cardiovascular diseases (CVDs) such as atherosclerosis, hypertension and ischemia/reperfusion injury (IRI). Reduced nitric oxide [...] Read more.
Endothelial dysfunction (ED) is characterized by an imbalance between vasodilatory and vasoconstrictive factors, leading to impaired vascular tone, thrombosis, and inflammation. These processes are critical in the development of cardiovascular diseases (CVDs) such as atherosclerosis, hypertension and ischemia/reperfusion injury (IRI). Reduced nitric oxide (NO) production and increased oxidative stress are key contributors to ED. Aging further exacerbates ED through mitochondrial dysfunction and increased oxidative/nitrosative stress, heightening CVD risk. Antioxidant systems like superoxide-dismutase (SOD), glutathione-peroxidase (GPx), and thioredoxin/thioredoxin-reductase (Trx/TXNRD) pathways protect against oxidative stress. However, their reduced activity promotes ED, atherosclerosis, and vulnerability to IRI. Metabolic syndrome, comprising insulin resistance, obesity, and hypertension, is often accompanied by ED. Specifically, hyperglycemia worsens endothelial damage by promoting oxidative stress and inflammation. Obesity leads to chronic inflammation and changes in perivascular adipose tissue, while hypertension is associated with an increase in oxidative stress. The NLRP3 inflammasome plays a significant role in ED, being triggered by factors such as reactive oxygen and nitrogen species, ischemia, and high glucose, which contribute to inflammation, endothelial injury, and exacerbation of IRI. Treatments, such as N-acetyl-L-cysteine, SGLT2 or NLRP3 inhibitors, show promise in improving endothelial function. Yet the complexity of ED suggests that multi-targeted therapies addressing oxidative stress, inflammation, and metabolic disturbances are essential for managing CVDs associated with metabolic syndrome. Full article
(This article belongs to the Section Health Outcomes of Antioxidants and Oxidative Stress)
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<p>Adequate NO production supports redox balance, vasodilation, and vascular homeostasis. In contrast, endothelial dysfunction and reduced NO levels lead to redox imbalance, favoring ROS/RNS-mediated inflammation and fibrosis, with O<sub>2</sub><sup>•−</sup>, ONOO<sup>−</sup> and NLRP3 playing key roles (See also <a href="#antioxidants-14-00256-f002" class="html-fig">Figure 2</a>). Double-headed lines indicate inhibition, while simple arrows indicate diffusion and activation. Red-colored arrows indicate a pathway linking oxidative stress to inflammation. Abbreviations are as in the text.</p>
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<p>Key molecular mechanisms linking endothelial dysfunction, NLRP3 inflammasome, and cardiovascular diseases (CVDs). Schematic illustration of the pathways and factors contributing to endothelial dysfunction and the progression of CVDs. The activation of the NLRP3 inflammasome by PAMPs, DAMPs, and hemodynamic alterations triggers the production of inflammatory cytokines (e.g., IL-1β, IL-18) via caspase-1 activation and GSDMD pore formation. Key mediators such as ROS, RNS, high glucose, trimethylamine N-oxide (TMAO), and adipokines (i.e., visfatin), leading to NF-κB activation, further exacerbate the inflammatory response. Endothelial dysfunction is also associated with metabolic syndrome and ischemia/reperfusion injury (IRI), including the no-reflow phenomenon. The main pathways are highlighted in red; additional pathways (e.g., high glucose and eNOS downregulation) are shown in blue; and the pathway activated by adipokines is marked in green. Arrow colors correspond to their respective pathways. The protective pathway, Nrf2 activation, is included to illustrate hormesis and highlight its potential as a therapeutic target.</p>
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16 pages, 2977 KiB  
Article
PCSK9 Enhances Cardiac Fibrogenesis via the Activation of Toll-like Receptor and NLRP3 Inflammasome Signaling
by Cheng-Chih Chung, Yu-Hsun Kao, Yao-Chang Chen, Yung-Kuo Lin, Satoshi Higa, Kai-Cheng Hsu and Yi-Jen Chen
Int. J. Mol. Sci. 2025, 26(5), 1921; https://doi.org/10.3390/ijms26051921 - 23 Feb 2025
Viewed by 244
Abstract
Proprotein convertase subtilisin/kexin type 9 (PCSK9) has emerged as a novel target for reducing low-density lipoprotein cholesterol. PCSK9 activates the atherosclerosis process through pro-inflammation signaling. Furthermore, the serum level of PCSK9 is positively correlated with mortality in patients with heart failure (HF). Cardiac [...] Read more.
Proprotein convertase subtilisin/kexin type 9 (PCSK9) has emerged as a novel target for reducing low-density lipoprotein cholesterol. PCSK9 activates the atherosclerosis process through pro-inflammation signaling. Furthermore, the serum level of PCSK9 is positively correlated with mortality in patients with heart failure (HF). Cardiac fibrosis plays a crucial role in the pathophysiology of HF. In this study, we intended to examine whether PCSK9 can increase fibroblast activities and explore what its underlying mechanisms are. Migration, proliferation analyses, and Western blotting were used on human cardiac fibroblasts with and without PCSK9. Alirocumab (a PCSK9 inhibitor, 10 mg/kg/week intra-peritoneally for 28 consecutive days) was treated in isoproterenol (100 mg/kg, subcutaneous injection)-induced HF rats. PCSK9 (50, 100 ng/mL) increased proliferation, myofibroblast differentiation capability, and collagen type I production. Compared with control cells, PCSK9 (100 ng/mL)-treated cardiac fibroblasts showed higher nucleotide-binding domain (NOD)-like receptor protein 3 (NLRP3), interleukin (IL)-1, myofibroblast differentiation, and collagen production capabilities, which were attenuated by MCC950 (an NLRP3 inhibitor, 100 μmol/L). PCSK9 upregulated Myd88 and NF-κB signaling, which were reduced by TAK242 (a toll-like receptor (TLR) 4 inhibitor, 10 μmol/L). Moreover, alirocumab significantly improved left ventricular systolic function and attenuated fibrosis in HF rats. In conclusion, PCSK9 upregulates NLRP3 signaling and the profibrotic activities of cardiac fibroblasts through the activation of TLR4/Myd88/NF-κB signaling. Full article
(This article belongs to the Special Issue Molecular Mechanism and Pathogenesis of Cardiac Disease)
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<p>Collagen production, myofibroblast differentiation, cell proliferation, and migration capabilities of cardiac fibroblasts treated with proprotein convertase subtilisin/kexin type 9 (PCSK9). (<b>A</b>) Photographs, individual data points, and averaged data revealed expression of pro-collagen type I, and α-smooth muscle actin (SMA), NLR Family Pyrin Domain-Containing 3 (NLRP3), and interleukin (IL)-1β (<span class="html-italic">n</span> = 6 independent experiments) and proliferation rate (<span class="html-italic">n</span> = 6 independent experiments) of control and PCSK9 (50 or 100 ng/mL)-treated cardiac fibroblasts. GAPDH was used as a loading control. (<b>B</b>) Photographs, individual data points, and averaged data revealed the migration assay results of cardiac fibroblasts treated with PCSK9 (50 or 100 ng/mL). The left upper panels display different group’s initial scratch (baseline). Left lower panels displayed the images 6 h after the scratch was created (after migration) (<span class="html-italic">n</span> = 6 independent experiments). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.005.</p>
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<p>Effects of proprotein convertase subtilisin/kexin type 9 (PCSK9) on NLR Family Pyrin Domain-Containing 3 (NLRP3) and downstream signaling. Photographs, individual data points, and averaged data of the expression of pro-collagen type I, α-smooth muscle actin (SMA), and interleukin (IL)-1β (<span class="html-italic">n</span> = 6 independent experiments) and proliferation rate (<span class="html-italic">n</span> = 6 independent experiments) of control cells and PCSK9 (100 ng/mL)-treated cardiac fibroblasts cotreated with or without NLRP3 inhibitor (MCC950, 100 μmol/L). GAPDH was used as the loading control. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.005.</p>
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<p>Pro-fibrotic and inflammatory effects of proprotein convertase subtilisin/kexin type 9 (PCSK9) on Toll-like receptor 4 (TLR4) signaling. Photographs, individual data points, and averaged data of the protein expression of pro-collagen type I, α-smooth muscle actin (SMA), NLR Family Pyrin Domain-Containing 3 (NLRP3), and interleukin (IL)-1β (<span class="html-italic">n</span> = 6 independent experiments) and proliferation rate (<span class="html-italic">n</span> = 6 independent experiments) of control cells and PCSK9 (100 ng/mL)-treated cardiac fibroblasts cotreated with or without TAK-242 (a TLR4 inhibitor, 10 μmol/L). GAPDH was used as the loading control. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.005.</p>
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<p>Effects of proprotein convertase subtilisin/kexin type 9 (PCSK9) on Toll-like receptor 4 (TLR4) downstream signaling. (<b>A</b>) Photographs, individual data points, and averaged data of the protein expression of Myd88, ratio of phosphorylated (p) to total (t) p65 and IκBα in control cells and PCSK9 (100 ng/mL)-treated cardiac fibroblasts cotreated with or without TAK-242 (a TLR4 inhibitor, 10 μmol/L) (<span class="html-italic">n</span> = 6 independent experiments). (<b>B</b>) Photographs, individual data points, and averaged data revealed similar TLR4 and Toll-like receptor adapter molecule 1 (TRIF) protein expression in control cells and PCSK9 (100 ng/mL)-treated cardiac fibroblasts (<span class="html-italic">n</span> = 6 independent experiments). GAPDH was used as the loading control. * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.005.</p>
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<p>Treatment protocol of proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor (alirocumab) and effects of alirocumab on heart structure and systolic function of rats with isoproterenol-induced heart failure (HF). (<b>A</b>) Schematic summarizing the treatment protocol for Wistar rats with isoproterenol (100 mg/kg, subcutaneous injection)-induced HF rats, alirocumab (10 mg/kg/week subcutaneously injection for 28 consecutive days)-treated HF rats, and control rats. (<b>B</b>) Photographs, individual data points, and averaged data present the results of left ventricular fractional shortening (LVFS), LV end-systolic diameter (LVESD), LV end-diastolic diameter (LVEDD), and interventricular septum (IVS) in control rats (<span class="html-italic">n</span> = 6 rats), HF rats (<span class="html-italic">n</span> = 6 rats), and alirocumab-treated HF rats (<span class="html-italic">n</span> = 6 rats). * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.005.</p>
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<p>Anti-fibrotic effect of proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor (alirocumab) on rats with isoproterenol-induced heart failure (HF). Photographs, individual data points, and averaged data reveal cardiac fibrosis (stained with blue color) studied using Masson’s trichrome staining in the left ventricular (LV) tissues from different groups. Control rats (<span class="html-italic">n</span> = 5 rats) and alirocumab-treated HF rats (<span class="html-italic">n</span> = 5 rats) exhibited less severe LV fibrosis than HF rats (<span class="html-italic">n</span> = 5 rats). The fibrosis levels of LV tissues were expressed as the collagen volume fraction, that is, the ratio of the LV total collagen surface area stained blue to the LV total surface area. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>The proposed molecular mechanism underlying the pro-fibrotic effects of proprotein convertase subtilisin/kexin type 9 (PCSK9) on cardiac fibroblasts. PCSK9 activates Toll-like receptor 4 (TLR4)/Myd88/NF-κB signaling, thereby upregulating nucleotide-binding domain (NOD)-like receptor protein 3 (NLRP3) signaling and the profibrotic activities of cardiac fibroblasts.</p>
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24 pages, 4881 KiB  
Review
Therapeutic Effects of Alkaloids on Influenza: A Systematic Review and Meta-Analysis of Preclinical Studies
by Zhaoyuan Gong, Mingzhi Hu, Guozhen Zhao, Ning Liang, Haili Zhang, Huizhen Li, Qianzi Che, Jing Guo, Tian Song, Yanping Wang, Nannan Shi and Bin Liu
Int. J. Mol. Sci. 2025, 26(5), 1823; https://doi.org/10.3390/ijms26051823 - 20 Feb 2025
Viewed by 222
Abstract
Experimental evidence suggests that alkaloids have anti-influenza and anti-inflammatory effects. However, the risk of translating existing evidence into clinical practice is relatively high. We conducted a systematic review and meta-analysis of animal studies to evaluate the therapeutic effects of alkaloids in treating influenza, [...] Read more.
Experimental evidence suggests that alkaloids have anti-influenza and anti-inflammatory effects. However, the risk of translating existing evidence into clinical practice is relatively high. We conducted a systematic review and meta-analysis of animal studies to evaluate the therapeutic effects of alkaloids in treating influenza, providing valuable references for future studies. Seven electronic databases were searched until October 2024 for relevant studies. The Review Manager 5.2 software was utilized to perform the meta-analysis. Our study was registered within the International Prospective Register of Systematic Reviews (PROSPERO) as number CRD42024607535. Alkaloids are significantly correlated with viral titers, pulmonary inflammation scores, survival rates, lung indices, and body weight. However, alkaloid therapy is not effective in reducing the levels of tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6). In addition, the therapeutic effects of alkaloids may be related to the inhibition of the Toll-like receptor 4 or 7/Nuclear factor (NF)-κB signaling pathway, NACHT, LRR, and PYD domains-containing protein 3 (NLRP3) inflammasome pathway, and the Antiviral innate immune response receptor RIG-I (RIG-I) pathway. Alkaloids are potential candidates for the prevention and treatment of influenza. However, extensive preclinical studies and clinical studies are needed to confirm the anti-influenza and anti-inflammatory properties of alkaloids. Full article
(This article belongs to the Section Molecular Immunology)
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Figure 1

Figure 1
<p>Flowchart of literature-screening process.</p>
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<p>Structure of alkaloids included in the study.</p>
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<p>Risk of bias. Assessment of literature quality results obtained through a risk of bias by SYRCLE based on Cochrane tools.</p>
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<p>Effects of alkaloids on survival rate. The effects of alkaloids on survival rate compared to the model group were shown through a forest plot (effect size and 95% confidence interval). Black diamonds represented the pooled effect size. Blue squares represented the risk ratio, of each individual study, with the size of the square reflecting the weight of the study. The references cited in 1.1.1 PR8 were [<a href="#B27-ijms-26-01823" class="html-bibr">27</a>,<a href="#B28-ijms-26-01823" class="html-bibr">28</a>,<a href="#B30-ijms-26-01823" class="html-bibr">30</a>,<a href="#B32-ijms-26-01823" class="html-bibr">32</a>,<a href="#B33-ijms-26-01823" class="html-bibr">33</a>]; The reference cited in 1.1.2 FM1 was [<a href="#B38-ijms-26-01823" class="html-bibr">38</a>].</p>
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<p>Effects of alkaloids on viral titers. The effects of alkaloids on virus titers compared to the model group were shown through a forest plot (effect size and 95% confidence interval). Black diamonds represented the pooled effect size. Green squares represent the SMD of each study, with their size indicating the study’s weight. The references cited in 2.1.1 PR8 were [<a href="#B28-ijms-26-01823" class="html-bibr">28</a>,<a href="#B29-ijms-26-01823" class="html-bibr">29</a>,<a href="#B30-ijms-26-01823" class="html-bibr">30</a>,<a href="#B32-ijms-26-01823" class="html-bibr">32</a>,<a href="#B33-ijms-26-01823" class="html-bibr">33</a>,<a href="#B34-ijms-26-01823" class="html-bibr">34</a>]; The reference cited in 2.1.2 FM1 was [<a href="#B26-ijms-26-01823" class="html-bibr">26</a>]; The reference cited in 2.1.3 Other was [<a href="#B35-ijms-26-01823" class="html-bibr">35</a>].</p>
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<p>Effects of alkaloids on pulmonary inflammation scores. The effects of alkaloids on pulmonary inflammation scores compared to the model group were shown through a forest plot (effect size and 95% confidence interval). Black diamonds represented the pooled effect size. Green squares represent the SMD of each study, with their size indicating the study’s weight. The references cited in 3.1.1 PR8 were [<a href="#B27-ijms-26-01823" class="html-bibr">27</a>,<a href="#B30-ijms-26-01823" class="html-bibr">30</a>]; The references cited in 3.1.2 FM1 were [<a href="#B26-ijms-26-01823" class="html-bibr">26</a>,<a href="#B31-ijms-26-01823" class="html-bibr">31</a>].</p>
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<p>Effects of alkaloids on lung index. The effects of alkaloids on lung index compared to the model group were shown through a forest plot (effect size and 95% confidence interval). Black diamonds represented the pooled effect size. Green squares represent the SMD of each study, with their size indicating the study’s weight. The references cited in 4.2.1 PR8 were [<a href="#B27-ijms-26-01823" class="html-bibr">27</a>,<a href="#B29-ijms-26-01823" class="html-bibr">29</a>,<a href="#B30-ijms-26-01823" class="html-bibr">30</a>,<a href="#B34-ijms-26-01823" class="html-bibr">34</a>,<a href="#B36-ijms-26-01823" class="html-bibr">36</a>]; The reference cited in 4.2.2 FM1 was [<a href="#B26-ijms-26-01823" class="html-bibr">26</a>].</p>
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<p>Effects of alkaloids on TNF-α and IL-6. The effects of alkaloids on TNF-α (<b>A</b>) and IL-6 (<b>B</b>) compared to the model group were shown through a forest plot (effect size and 95% confidence interval). Black diamonds represented the pooled effect size. Green squares represent the SMD of each study, with their size indicating the study’s weight. The references cited in 5.1.1 PR8 were [<a href="#B27-ijms-26-01823" class="html-bibr">27</a>,<a href="#B33-ijms-26-01823" class="html-bibr">33</a>]; The references cited in 5.1.2 FM1 were [<a href="#B26-ijms-26-01823" class="html-bibr">26</a>,<a href="#B37-ijms-26-01823" class="html-bibr">37</a>]; The references cited in 6.1.1 PR8 were [<a href="#B27-ijms-26-01823" class="html-bibr">27</a>,<a href="#B33-ijms-26-01823" class="html-bibr">33</a>,<a href="#B34-ijms-26-01823" class="html-bibr">34</a>,<a href="#B36-ijms-26-01823" class="html-bibr">36</a>]; The reference cited in 6.1.2 FM1 was [<a href="#B37-ijms-26-01823" class="html-bibr">37</a>].</p>
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<p>Effects of alkaloids on body weight. The effects of alkaloids on body weight compared to the model group were shown through a forest plot (effect size and 95% confidence interval). Black diamonds represented the pooled effect size. Green squares represent the SMD of each study, with their size indicating the study’s weight. The references cited in 7.1.1 PR8 were [<a href="#B27-ijms-26-01823" class="html-bibr">27</a>,<a href="#B30-ijms-26-01823" class="html-bibr">30</a>,<a href="#B32-ijms-26-01823" class="html-bibr">32</a>]; The reference cited in 7.1.2 FM1 was [<a href="#B26-ijms-26-01823" class="html-bibr">26</a>].</p>
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<p>Effect of BBR on NLRP3 inflammasome pathway and TLR7/NF-κB pathway. The downward arrow represented descent (arrows indicating inhibition end with short vertical line).</p>
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<p>Effect of BBR on RIG-I signaling pathway and other mechanisms of alkaloids in treating influenza. The red X represented the inhibitory effect on the replication of influenza virus.</p>
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27 pages, 11242 KiB  
Article
Bioinformatics Analysis of the Anti-Inflammatory Mechanism and Potential Therapeutic Efficacy of Kezimuke granules in Treating Urinary Tract Infections by Inhibiting NLRP3 Inflammasome Activation
by Alhar Baishan, Alifeiye Aikebaier, Dilihuma Dilimulati, Nuerbiye Nueraihemaiti, Yipaerguli Paerhati, Sendaer Hailati, Nulibiya Maihemuti and Wenting Zhou
Int. J. Mol. Sci. 2025, 26(4), 1764; https://doi.org/10.3390/ijms26041764 - 19 Feb 2025
Viewed by 279
Abstract
Kezimuke granules (KZMK), derived from traditional Kazakh folk medicine, exhibit a variety of pharmacological properties. Long-term clinical studies have demonstrated their efficacy in clearing heat, detoxifying, promoting qi circulation, and alleviating gonorrhea. However, their specific pharmacological effects on urinary tract infections remain unclear. [...] Read more.
Kezimuke granules (KZMK), derived from traditional Kazakh folk medicine, exhibit a variety of pharmacological properties. Long-term clinical studies have demonstrated their efficacy in clearing heat, detoxifying, promoting qi circulation, and alleviating gonorrhea. However, their specific pharmacological effects on urinary tract infections remain unclear. This study employed UHPLC-MS/MS technology to identify the blood components of KZMK and integrated network pharmacology with bioinformatics analysis for molecular docking validation. The anti-inflammatory activity of KZMK was further evaluated using a rat model of LPS-induced cystitis. A total of 17 components in KZMK were identified as capable of entering the bloodstream. Predictive analysis revealed that its primary targets include Caspase-1, NLRP3, STAT1, TLR4, and TNF, with the NLRP3 inflammasome signaling pathway emerging as the key mechanism. In vivo studies showed that KZMK effectively reduced the white blood cell (WBC) count and bladder index in urine sediments of rats with cystitis. Additionally, KZMK alleviated bladder congestion, edema, and histopathological changes in the animals. Treatment with KZMK led to decreased levels of IL-18 and IL-1β cytokines. KZMK significantly inhibited the expression of NLRP3, GSDMD, and Caspase-1 in LPS-induced cystitis, further confirming its anti-inflammatory effects. These findings indicate that KZMK provides protection against LPS-induced cystitis, primarily by inhibiting the activation of the NLRP3 inflammasome. Collectively, the results suggest that KZMK holds promise as a potential therapeutic option for urinary tract infections. Full article
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Figure 1

Figure 1
<p>Research Flowchart for the Therapeutic Effect of KZMK Granules on UTIs. In this paper, we employed UPLC-MS/MS to detect the blood components of KZMK granules, identifying a total of 17 blood components as potential active compounds and targets. Subsequently, we collected target information for these components using the SwissTarget Prediction database. Meanwhile, we obtained targets related to UTIs from the GeneCards database and conducted a cross-analysis of the collected drug targets and disease targets to construct a PPI network diagram. Furthermore, we collected normal and diseased gene data from UTI patients from the GEO database, conducted screening for DEGs, and plotted volcano plots and heatmaps to visually display changes in gene expression. We uploaded the drug targets, disease targets, DEGs, and modular genes into Venn diagram analysis, successfully screening out 5 hub genes. For these hub genes, we conducted GO analysis and KEGG pathway analysis and verified the results through molecular docking techniques. In in vivo experiments, we established an evaluation system for the therapeutic effect of KZMK granules on rats with an LPS-induced cystitis model. Through urine sediment leukocyte detection, bladder index assessment, HE pathological staining, immunohistochemical analysis, serum inflammatory factor detection, and Western blot experiments, we verified that KZMK granules exert their therapeutic effect on UTIs by inhibiting the activation of the NLRP3 inflammasome.</p>
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<p>Identification of Serum Components Derived from KZMK Extracts. (<b>a</b>) Represents the TAIC in Positive Ion Mode for Diverse Serum Samples; (<b>b</b>) Illustrates the TAIC in Negative Ion Mode for Various Serum Samples.</p>
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<p>Network Pharmacology Analysis: From top to bottom, they are (<b>a</b>), (<b>b</b>), (<b>c</b>), respectively. (<b>a</b>) Ingredient-Target Network Diagram: The deep blue diamond core in the diagram represents KZMK. The surrounding blue hexagons represent the 17 serum ingredients of KZMK. Due to the excessive length of some component names, abbreviations such as ABCDEF have been used instead, with the specific distribution as follows. A: 5-hydroxy-6-methoxy-2-(4-methoxyphenyl)-7-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxychroman-4-one; B: Glycyrrhizic acid; C: 7-hydroxy-2-(4-hydroxyphenyl)-8-[(2S,3R,4R,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl) tetrahydropyran-2-yl] chroman-4-one; D: 5-hydroxy-6,7-dimethoxy-2-[4-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl) tetrahydropyran-2-yl]oxyphenyl]chroman-4-one; E: 3-[4,5-dihydroxy-6-(hydroxymethyl)-[(2S,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyltetrahydropyran-2-yl]oxy-tetrahydropyran-2-yl]oxy-5,7-dihydroxy-2-(4-hydroxyphenyl)chroman-4-one (Note: This ingredient is repeated with F, which may be a typographical error or data redundancy requiring further verification); F: 7-[(2S,3R,4S,5S,6R)-4,5-dihydroxy-6-(hydroxymethyl)-3-[(2S,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyltetrahydropyran-2-yl]oxytetrahydropyran-2-yl]oxy-3,5-dihydroxy-2-(4-hydroxyphenyl)chromen-4-one. The three outer circles of squares represent 610 targets, and the size of these squares visually reflects the node degree of the target proteins, i.e., how many ingredients they interact with. (<b>b</b>) Venn Diagram, (<b>c</b>) PPI Network Diagram: In this diagram, the size and color intensity of the squares are defined according to the DEGREE value.</p>
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<p>Network Pharmacology Analysis: From top to bottom, they are (<b>a</b>), (<b>b</b>), (<b>c</b>), respectively. (<b>a</b>) Ingredient-Target Network Diagram: The deep blue diamond core in the diagram represents KZMK. The surrounding blue hexagons represent the 17 serum ingredients of KZMK. Due to the excessive length of some component names, abbreviations such as ABCDEF have been used instead, with the specific distribution as follows. A: 5-hydroxy-6-methoxy-2-(4-methoxyphenyl)-7-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxychroman-4-one; B: Glycyrrhizic acid; C: 7-hydroxy-2-(4-hydroxyphenyl)-8-[(2S,3R,4R,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl) tetrahydropyran-2-yl] chroman-4-one; D: 5-hydroxy-6,7-dimethoxy-2-[4-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl) tetrahydropyran-2-yl]oxyphenyl]chroman-4-one; E: 3-[4,5-dihydroxy-6-(hydroxymethyl)-[(2S,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyltetrahydropyran-2-yl]oxy-tetrahydropyran-2-yl]oxy-5,7-dihydroxy-2-(4-hydroxyphenyl)chroman-4-one (Note: This ingredient is repeated with F, which may be a typographical error or data redundancy requiring further verification); F: 7-[(2S,3R,4S,5S,6R)-4,5-dihydroxy-6-(hydroxymethyl)-3-[(2S,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyltetrahydropyran-2-yl]oxytetrahydropyran-2-yl]oxy-3,5-dihydroxy-2-(4-hydroxyphenyl)chromen-4-one. The three outer circles of squares represent 610 targets, and the size of these squares visually reflects the node degree of the target proteins, i.e., how many ingredients they interact with. (<b>b</b>) Venn Diagram, (<b>c</b>) PPI Network Diagram: In this diagram, the size and color intensity of the squares are defined according to the DEGREE value.</p>
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<p>(<b>a</b>) presents the boxplot of the normalized data. In this visualization, various colors are utilized to distinguish between different datasets. The rows of the boxplot depict individual samples, while the columns represent the corresponding gene expression values within those samples. (<b>b</b>) depicts a volcano plot, constructed utilizing fold change values and adjusted <span class="html-italic">p</span>-values. Its purpose is to emphasize notable alterations in gene expression. Specifically, the volcano plot features red dots denoting upregulated genes; contrastingly, blue dots signify downregulated genes. The horizontal dotted line in the figure represents the significance threshold line. (<b>c</b>) presents a heatmap illustrating differential gene expression. Within this heatmap, a range of colors is utilized to depict the diverse trends of gene expression across various tissues. Notably, the heatmap highlights the top 50 genes with the most significant upregulation and downregulation, offering a comprehensive view of the most prominent changes in gene expression.</p>
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<p>(<b>a</b>) Venn Diagram: Selection of Overlapping Genes. In this Venn diagram, green represents KZMK, blue represents UTls, while pink and yellow represent upregulated genes and downregulated genes, respectively; (<b>b</b>) GO Analysis; (<b>c</b>) KEGG Pathway Diagram.</p>
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<p>(<b>a</b>) A heatmap displaying the docking results of 17 serum components against 5 core targets for KZMK. The intensity of the colors in the diagram reflects the affinity or association between the receptor and the ligand, with darker colors indicating stronger binding activity. (<b>b</b>) The molecular docking results of NLRP3 with the following compounds are shown. The red box in the figure marks the location of the drug molecules.</p>
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<p>The impact of varying concentrations of KZMK on the WBC count in urine sediments was investigated. Representative photomicrographs were obtained to depict the WBC count in urine sediments (<b>a</b>). Additionally, a graphic representation of the WBC count was provided. The red arrow in the figure points to white blood cells. (<b>b</b>). The bar graph presented in (<b>b</b>) illustrates the mean and standard error of the mean (<span class="html-italic">n</span> = 6) for the WBC count. Statistical analysis revealed significant differences: ## <span class="html-italic">p</span> &lt; 0.01 denote significant differences compared to the Sham group, respectively. Similarly, ** <span class="html-italic">p</span> &lt; 0.01 indicates significant differences compared to the LPS group, respectively. Group descriptions are as follows: Sham represents the sham-operated group; LPS represents the lipopolysaccharide group; LPS + L represents the group receiving 0.676 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + M represents the group receiving 1.352 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + H represents the group receiving 2.703 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + LEVO represents the group receiving 10 mg·kg<sup>−1</sup>·d<sup>−1</sup> of levofloxacin hydrochloride after LPS instillation.</p>
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<p>Influence: Effects of Different Concentrations of KZMK on Bladder Morphology and Bladder Index. The figure presents representative photographs of bladder morphology for each group (<b>a</b>) and a graphical representation of the bladder index (<b>b</b>). The bar graph presented in (<b>b</b>) illustrates the mean and standard error of the mean (<span class="html-italic">n</span> = 6) for the WBC count. Statistical analysis indicated significant variations: ## <span class="html-italic">p</span> &lt; 0.01 represent significant differences in comparison to the Sham group, respectively. Likewise, ** <span class="html-italic">p</span> &lt; 0.01 shows significant differences when compared to the LPS group, respectively. Group descriptions are as follows: Sham represents the sham-operated group; LPS represents the lipopolysaccharide group; LPS + L represents the group receiving 0.676 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + M represents the group receiving 1.352 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + H represents the group receiving 2.703 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + LEVO represents the group receiving 10 mg·kg<sup>−1</sup>·d<sup>−1</sup> of levofloxacin hydrochloride after LPS instillation.</p>
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<p>KZMK alleviates histopathological alte (magnification 40× and 200×). The yellow arrows respectively point to the areas where bleeding, edema, and severe immune infiltration occur. Group descriptions are as follows: Sham represents the sham-operated group; LPS represents the lipopolysaccharide group; LPS + L represents the group receiving 0.676 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + M represents the group receiving 1.352 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + H represents the group receiving 2.703 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + LEVO represents the group receiving 10 mg·kg<sup>−1</sup>·d<sup>−1</sup> of levofloxacin hydrochloride after LPS instillation.</p>
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<p>KZMK treatment attenuates the activation of NLRP3 inflammasomes in the bladders of LPS-instilled rats. Representative immunohistochemical images from bladder sections of rats in each group show staining for NLRP3, GSDMD, and Caspase-1. The scale bars for these photomicrographs are all 50 μm. In the statistical results illustrates the mean and standard error of the mean (<span class="html-italic">n</span> = 6) for the WBC count. Statistical analysis indicated significant variations: ns represents no statistical difference. ## <span class="html-italic">p</span> &lt; 0.01 represent significant differences in comparison to the Sham group, respectively. Likewise, * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 show significant differences when compared to the LPS group, respectively, and ns represents not statistically significant when comparing. Group descriptions are as follows: Sham represents the sham-operated group; LPS represents the lipopolysaccharide group; LPS + L represents the group receiving 0.676 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + M represents the group receiving 1.352 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + H represents the group receiving 2.703 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + LEVO represents the group receiving 10 mg·kg<sup>−1</sup>·d<sup>−1</sup> of levofloxacin hydrochloride after LPS instillation.</p>
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<p>Displays the quantitative measurement results of IL-1β and IL-18 in the serum of rats from various groups. (<b>a</b>) represents the content of IL-1<span class="html-italic">β</span> in serum. (<b>b</b>) represents the content of IL-18 in serum. In the statistical results illustrates the mean and standard error of the mean (<span class="html-italic">n</span> = 6) for the WBC count. Statistical analysis indicated significant variations: ns represents no statistical difference. ## <span class="html-italic">p</span> &lt; 0.01 represent significant differences in comparison to the Sham group, respectively. Likewise, ** <span class="html-italic">p</span> &lt; 0.01 shows significant differences when compared to the LPS group, respectively, and ns represents not statistically significant when comparing. Group descriptions are as follows: Sham represents the sham-operated group; LPS represents the lipopolysaccharide group; LPS + L represents the group receiving 0.676 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + M represents the group receiving 1.352 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + H represents the group receiving 2.703 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + LEVO represents the group receiving 10 mg·kg<sup>−1</sup>·d<sup>−1</sup> of levofloxacin hydrochloride after LPS instillation.</p>
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<p>Displays the immunoblots and quantitative expression of representative proteins of the NLRP3 inflammasome in the bladder tissues of rats from various groups after treatment. Here, β-actin was used as the internal control standard. In the statistical results illustrates the mean and standard error of the mean (<span class="html-italic">n</span> = 6) for the WBC count. Statistical analysis indicated significant variations: ns represents no statistical difference. # <span class="html-italic">p</span> &lt; 0.05 and ## <span class="html-italic">p</span> &lt; 0.01 represent significant differences in comparison to the Sham group, respectively. Likewise, * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 show significant differences when compared to the LPS group, respectively, and ns represents not statistically significant when comparing. Group descriptions are as follows: Sham represents the sham-operated group; LPS represents the lipopolysaccharide group; LPS + L represents the group receiving 0.676 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + M represents the group receiving 1.352 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + H represents the group receiving 2.703 g·kg<sup>−1</sup>·d<sup>−1</sup> of KZMK after LPS instillation; LPS + LEVO represents the group receiving 10 mg·kg<sup>−1</sup>·d<sup>−1</sup> of levofloxacin hydrochloride after LPS instillation.</p>
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<p>Illustrates the mechanism of action of KZMK in treating urinary tract infections by inhibiting the activation of NLRP3 inflammasome. Note: This diagram was created using Figdraw 2.0. In the figure, the arrows point to the downstream parts. The T-shaped arrows indicate blockage.</p>
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21 pages, 2283 KiB  
Review
Mental Health Disorders Due to Gut Microbiome Alteration and NLRP3 Inflammasome Activation After Spinal Cord Injury: Molecular Mechanisms, Promising Treatments, and Aids from Artificial Intelligence
by Pranav Kalaga and Swapan K. Ray
Brain Sci. 2025, 15(2), 197; https://doi.org/10.3390/brainsci15020197 - 14 Feb 2025
Viewed by 505
Abstract
Aside from its immediate traumatic effects, spinal cord injury (SCI) presents multiple secondary complications that can be harmful to those who have been affected by SCI. Among these secondary effects, gut dysbiosis (GD) and the activation of the NOD (nucleotide-binding oligomerization domain) like [...] Read more.
Aside from its immediate traumatic effects, spinal cord injury (SCI) presents multiple secondary complications that can be harmful to those who have been affected by SCI. Among these secondary effects, gut dysbiosis (GD) and the activation of the NOD (nucleotide-binding oligomerization domain) like receptor-family pyrin-domain-containing three (NLRP3) inflammasome are of special interest for their roles in impacting mental health. Studies have found that the state of the gut microbiome is thrown into disarray after SCI, providing a chance for GD to occur. Metabolites such as short-chain fatty acids (SCFAs) and a variety of neurotransmitters produced by the gut microbiome are hampered by GD. This disrupts healthy cognitive processes and opens the door for SCI patients to be impacted by mental health disorders. Additionally, some studies have found an increased presence and activation of the NLRP3 inflammasome and its respective parts in SCI patients. Preclinical and clinical studies have shown that NLRP3 inflammasome plays a key role in the maturation of pro-inflammatory cytokines that can initiate and eventually aggravate mental health disorders after SCI. In addition to the mechanisms of GD and the NLRP3 inflammasome in intensifying mental health disorders after SCI, this review article further focuses on three promising treatments: fecal microbiome transplants, phytochemicals, and melatonin. Studies have found these treatments to be effective in combating the pathogenic mechanisms of GD and NLRP3 inflammasome, as well as alleviating the symptoms these complications may have on mental health. Another area of focus of this review article is exploring how artificial intelligence (AI) can be used to support treatments. AI models have already been developed to track changes in the gut microbiome, simulate drug-gut interactions, and design novel anti-NLRP3 inflammasome peptides. While these are promising, further research into the applications of AI for the treatment of mental health disorders in SCI is needed. Full article
(This article belongs to the Section Molecular and Cellular Neuroscience)
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Graphical abstract

Graphical abstract
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<p>GD occurrence and NLRP3 inflammasome activation after SCI. Two common secondary consequences in the aftermath of SCI are the occurrence of GD and activation of the NLRP3 inflammasome. The NLRP3 inflammasome is comprised of three parts. In the third part, caspase-1 is responsible for transforming pro-IL-1β and pro-IL-18 into corresponding mature cytokines that have an impact on promotion of neuroinflammation. In GD, the mucus layer of the intestinal lumen seeps into the intestinal epithelium, enabling harmful bacterial translocation and imbalance in the gut.</p>
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<p>The effects of healthy and damaged vagus nerve fibers on pro-inflammatory cytokine production post SCI. When vagus nerve afferent fibers are functioning normally, they pick up SCFAs and transport them to the CNS via the vagus nerve. After receiving the SCFAs, the CNS sends acetylcholine to the intestines via efferent fibers. Acetylcholine attaches to the alpha7 nicotinic acetylcholine receptor (α7 nAChR) on M1 macrophages (the activated macrophages for inducing pro-inflammatory response) to inhibit the production of pro-inflammatory cytokines. However, when the vagus nerve afferent fibers are damaged due to SCI, this channel of communication is broken, and the CNS does not send any acetylcholine to inhibit the production of pro-inflammatory cytokines. Additionally, there are reduced levels of SCFAs in the intestines after SCI, also negatively impacting this process.</p>
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<p>GD releases and enables LPS to activate a signal cascade that produces the pro-inflammatory cytokines. GD damages the tight-junction proteins that otherwise prevent LPS from entering the IEC layer. Once in this layer, LPS can bind to the TLR4 that holds together the MD2 adapter protein in the homodimer complex LPS-MD2-TLR4. From there, a signal cascade is initiated and propagated ending in the production of the powerful pro-inflammatory transcription factor NF-κB. NF-κB binds to the promoter regions of the pro-inflammatory genes in the nucleus and promotes the production of the mRNA molecules that eventually code for production of pro-inflammatory cytokines. Additionally, after these pro-inflammatory cytokines are produced, they have easy access to the bloodstream and can travel throughout the body to spread the inflammatory response.</p>
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25 pages, 4138 KiB  
Article
Resveratrol-Enhanced Human Neural Stem Cell-Derived Exosomes Mitigate MPP+-Induced Neurotoxicity Through Activation of AMPK and Nrf2 Pathways and Inhibition of the NLRP3 Inflammasome in SH-SY5Y Cells
by Ming-Chang Chiang, Yu-Ping Yang, Christopher J. B. Nicol, Tairui Chiang and Chiahui Yen
Life 2025, 15(2), 294; https://doi.org/10.3390/life15020294 - 13 Feb 2025
Viewed by 505
Abstract
Parkinson’s disease (PD) is a progressive neurodegenerative disorder primarily characterized by the loss of dopaminergic neurons in the substantia nigra. Mitochondrial dysfunction, oxidative stress, and neuroinflammation are recognized as critical pathological mechanisms driving neurodegeneration in PD. Exosome (Exo)-based therapies, particularly those derived from [...] Read more.
Parkinson’s disease (PD) is a progressive neurodegenerative disorder primarily characterized by the loss of dopaminergic neurons in the substantia nigra. Mitochondrial dysfunction, oxidative stress, and neuroinflammation are recognized as critical pathological mechanisms driving neurodegeneration in PD. Exosome (Exo)-based therapies, particularly those derived from human neural stem cells (hNSCs), offer promising neuroprotective effects due to their ability to transfer bioactive molecules that modulate cellular processes. Resveratrol (RES), a polyphenolic compound with potent antioxidant and anti-inflammatory properties, has been shown to enhance the therapeutic potential of stem cell (SC)-derived Exos. This study investigated the neuroprotective effects of RES-treated hNSCs-derived Exos (RES-hNSCs-Exos) on SH-SY5Y cells exposed to 1-methyl-4-phenylpyridinium (MPP+), a neurotoxin commonly used to model Parkinsonian neurotoxicity. Treating SH-SY5Y cells with MPP+ led to significant reductions in cell viability, mitochondrial dysfunction, increased oxidative stress, and the activation of inflammatory pathways. Treatment with RES-hNSCs-Exos rescued SH-SY5Y cells from MPP+-induced toxicity by improving cell viability, enhancing ATP production, increasing mitochondrial biogenesis, and reducing reactive oxygen species (ROS) generation. The findings also demonstrated the increased expression of essential genes involved in mitochondrial biogenesis, such as PGC1α, NRF1, and Tfam, indicating improved mitochondrial function in the presence of RES-hNSCs-Exos. Further analysis revealed that these protective effects were mediated by activating the AMP-activated protein kinase (AMPK) and Nrf2 signaling pathways, which promoted mitochondrial health and reduced oxidative stress. Moreover, RES-hNSCs-Exos treatment suppressed neuroinflammation by downregulating NLRP3 inflammasome activation and reducing the secretion of pro-inflammatory cytokines IL-1β and IL-18. In conclusion, the results suggest that RES-hNSCs-Exos exhibit potent neuroprotective effects against MPP+-induced neurotoxicity by enhancing mitochondrial function, reducing oxidative stress, and inhibiting neuroinflammation. These findings highlight the potential of hNSCs-Exos as a novel therapeutic strategy for neurodegenerative diseases like PD, with RES as a valuable enhancer of Exos efficacy. Full article
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Figure 1
<p><b>hNSCs-Exos</b> Rescue SH-SY5Y Cell Viability from MPP<sup>+</sup>-Induced Toxicity. The experiment was divided into four groups, each representing a different treatment condition: Control (CON) group: SH-SY5Y cells cultured in DMEM medium without treatment for 72 h. b. MPP<sup>+</sup> group: SH-SY5Y cells were treated with 50 μM MPP<sup>+</sup> for 24 h, followed by culture medium for 48 h. Resveratrol (RES) group: SH-SY5Y cells were treated with 50 μM MPP<sup>+</sup> for 24 h, followed by treatment with 10 μg/mL RES-hNSCs-Exos for another 48 h. Compound C (CC) group: SH-SY5Y cells were treated with 50 μM MPP<sup>+</sup> for 24 h, followed by treatment with 10 μg/mL CC-hNSCs-Exos for another 48 h. The figure presents the results of two measurements: (<b>A</b>) Cell viability, assessed using the MTT assay, determining the amount of cellular protein to indicate cell viability. (<b>B</b>,<b>C</b>) Caspase-3 and Caspase-9 activity: Caspase activities were measured using a fluorometric protease assay. Caspase-3 activity was assessed using the DEVD-AFC substrate, and caspase-9 activity was measured using the LEHD-FMK substrate. The data were normalized to percentages relative to the CON group and are presented as mean ± SEM from three independent experiments. The designation “a” indicates a significant difference compared to SH-SY5Y cells treated with MPP<sup>+</sup> alone (<span class="html-italic">p</span> &lt; 0.001, one-way ANOVA).</p>
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<p><b>hNSCs-Exos Prevent</b> MPP<sup>+</sup><b>-Induced Decrease in SH-SY5Y Cell Viability.</b> Cells were treated according to the experimental setup described in <a href="#life-15-00294-f001" class="html-fig">Figure 1</a>. After treatment, SH-SY5Y cells were collected and subjected to a two-color assay using fluorescent dyes to distinguish live and dead cells. Microphotographs were captured to represent the cell populations stained with calcein-AM (green, indicating live cells) and ethidium homodimer-1 (red, indicating dead cells). White arrows indicate the presence of dead cells. A representative image from three independent experiments is presented, with a scale bar indicating 200 μm.</p>
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<p><b>hNSCs-Exos Increase AMPK, Bcl-2, and CREB Gene Expression Levels</b> in SH-SY5Y Cells Exposed to MPP<sup>+</sup>. Cells were treated following the protocol described in <a href="#life-15-00294-f001" class="html-fig">Figure 1</a>. The expression levels of AMPK (<b>A</b>), Bcl-2 (<b>B</b>), and CREB (<b>C</b>) transcripts in the specified cells were analyzed using the qPCR technique. RNA from the selected cells was extracted and reverse transcribed into cDNA. A qPCR analysis of the target genes was performed, and the GAPDH reference gene was normalized. Each reaction was conducted in triplicate for accuracy and consistency across three independent experiments. The AMPK, Bcl-2, and CREB transcripts (<b>A</b>–<b>C</b>) are presented as percentages relative to the CON and represented as mean ± SEM values from the three independent experiments. The designation “a” indicates a significant difference compared to SH-SY5Y cells treated with MPP<sup>+</sup> alone (<span class="html-italic">p</span> &lt; 0.001, one-way ANOVA).</p>
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<p><b>hNSCs-Exos Increase ATP Levels and Mitochondrial Mass in SH-SY5Y Cells Exposed to</b> MPP<sup>+</sup><b>.</b> Cells were treated as outlined in <a href="#life-15-00294-f001" class="html-fig">Figure 1</a> to examine the effects of RES-hNSCs-Exos on cellular energy levels and mitochondrial mass in SH-SY5Y cells under MPP<sup>+</sup>-induced neurotoxic stress. (<b>A</b>) Cellular ATP levels were measured using an ATP assay from the lysates of treated SH-SY5Y cells. The data show that RES-hNSCs-Exos significantly increased ATP production, indicating enhanced cellular energy metabolism in cells exposed to MPP<sup>+</sup> (<span class="html-italic">p</span> &lt; 0.001). (<b>B</b>) Mitochondrial mass was assessed in SH-SY5Y cells using Mitotracker Green™ dye, which fluoresces in green. Representative images of mitochondrial mass are displayed with a scale bar of 200 μm, visually showing that RES-hNSCs-Exos increased mitochondrial mass compared to MPP<sup>+</sup>-treated cells. (<b>C</b>) Mitochondrial mass was quantified and normalized to cell number to ensure accuracy. Results show that cells treated with RES-hNSCs-Exos significantly increased mitochondrial mass compared to MPP<sup>+</sup>-only treated cells (<span class="html-italic">p</span> &lt; 0.001). The designation “a” indicates a significant difference compared to SH-SY5Y cells treated with MPP<sup>+</sup> alone (<span class="html-italic">p</span> &lt; 0.001, one-way ANOVA).</p>
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<p><b>hNSCs-Exos Increase PGC1α, NRF1, and Tfam Gene Expression Levels in SH-SY5Y Cells Exposed to</b> MPP<sup>+</sup><b>.</b> Cells were treated following the protocol in <a href="#life-15-00294-f001" class="html-fig">Figure 1</a> to investigate the effect of RES-hNSCs-Exos on the expression of genes critical for mitochondrial biogenesis and function in MPP<sup>+</sup>-treated SH-SY5Y cells. (<b>A</b>) PGC1α expression: qPCR was used to assess PGC1α expression, a master regulator of mitochondrial biogenesis. Treatment with RES-hNSCs-Exos significantly increased PGC1α expression compared to cells treated with MPP<sup>+</sup> alone, suggesting enhanced mitochondrial biogenesis. (<b>B</b>) NRF1 expression was measured by qPCR, indicating that RES-hNSCs-Exos upregulated this gene, which regulates mitochondrial gene expression and respiratory chain function. (<b>C</b>) The transcript levels of Tfam, essential for mitochondrial DNA replication and maintenance, were significantly increased in cells treated with RES-hNSCs-Exos compared to MPP<sup>+</sup> alone, pointing to improved mitochondrial function. RNA was extracted from the cells, reverse transcribed into cDNA, and subjected to qPCR, with GAPDH as the reference gene. The data represent the mean ± SEM from three independent experiments. The designation “a” indicates a significant difference compared to SH-SY5Y cells treated with MPP<sup>+</sup> alone (<span class="html-italic">p</span> &lt; 0.001, one-way ANOVA).</p>
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<p><b>hNSCs-Exos Normalize</b> MPP<sup>+</sup><b>-Induced Oxidative Stress in SH-SY5Y Cells via the AMPK Pathway.</b> SH-SY5Y cells were treated with MPP<sup>+</sup> and RES-hNSCs-Exos to investigate the effects of the Exos on oxidative stress, with a particular focus on the involvement of the AMPK pathway. (<b>A</b>) ROS determination: ROS levels in the cells were analyzed using the DCFH-DA assay, providing insight into oxidative stress levels under different treatment conditions. (<b>B</b>) DHE staining for ROS detection: Microphotographs of SH-SY5Y cells stained with DHE dye reveal differences in ROS generation. MPP<sup>+</sup> treatment alone led to a marked increase in red fluorescence, indicating high levels of ROS and oxidative stress. In contrast, treatment with RES-hNSCs-Exos significantly reduced ROS generation, as evidenced by the decrease in red fluorescence. This suggests that the Exos can mitigate oxidative stress induced by MPP<sup>+</sup>. The scale bar in the images represents 100 μm. (<b>C</b>) Quantification of ROS levels: the fluorescence intensity of DHE staining was quantitatively measured and normalized to cell numbers, ensuring accuracy by accounting for variations in cell density. The data represent the mean ± SEM from three independent experiments. The designation “a” indicates a significant difference compared to SH-SY5Y cells treated with MPP<sup>+</sup> alone (<span class="html-italic">p</span> &lt; 0.001, one-way ANOVA).</p>
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<p><b>hNSCs-Exos Increase Nrf2 Activity and Gene Expression in SH-SY5Y Cells Exposed to</b> MPP<sup>+</sup><b>.</b> SH-SY5Y cells were treated following the protocol described in <a href="#life-15-00294-f001" class="html-fig">Figure 1</a> to evaluate the effects of RES-hNSCs-Exos on the activity and gene expression of Nrf2 in the context of MPP<sup>+</sup>-induced neurotoxicity. (<b>A</b>) Nrf2 protein activity: Nrf2 activity in the nucleus was measured using the Nrf2 transcription factor assay kit, which quantifies the active form of Nrf2, reflecting its transcriptional activity. The assay demonstrated a significant increase in Nrf2 activity in cells treated with RES-hNSCs-Exos compared to those treated with MPP<sup>+</sup> alone. (<b>B</b>) Nrf2 gene expression: The mRNA expression levels of Nrf2 were analyzed using qPCR. RNA from SH-SY5Y cells was extracted, reverse transcribed into cDNA, and subjected to qPCR analysis. The results were normalized to GAPDH as the reference gene, with each reaction conducted in triplicate. The data represent mean ± SEM from three independent experiments. The designation “a” indicates a significant difference compared to SH-SY5Y cells treated with MPP<sup>+</sup> alone (<span class="html-italic">p</span> &lt; 0.001, one-way ANOVA).</p>
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<p><b>Effects of hNSCs-Exos on Immunostaining Analysis of Nrf2 Levels in SH-SY5Y Cells Exposed to</b> MPP<sup>+</sup><b>.</b> Cells were treated following the protocol outlined in <a href="#life-15-00294-f001" class="html-fig">Figure 1</a> to assess Nrf2 protein levels and their cellular localization in SH-SY5Y cells exposed to MPP<sup>+</sup>, with and without RES-hNSCs-Exos. Immunostaining: Antibodies against Nrf2 (red) were used to visualize its expression in SH-SY5Y cells. The nucleus was counterstained with DAPI (blue fluorescence). Representative images show distinct Nrf2 expression patterns across different treatment conditions. Nrf2 levels significantly increased in cells treated with RES-hNSCs-Exos. The scale bar represents 50 μm.</p>
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<p>Effects of <b>hNSCs-Exos</b> on NLRP3 Expression in SH-SY5Y Cells Exposed to MPP<sup>+</sup>. (<b>A</b>) mRNA expression analysis: the mRNA transcripts of NLRP3 were analyzed using qPCR. RNA was collected from SH-SY5Y cells, reverse transcribed into cDNA, and subjected to qPCR to determine NLRP3 expression levels. (<b>B</b>) Immunostaining: Cells were stained with antibodies specific to NLRP3, visualized with avidin–Alexa Fluor<sup>®</sup> 488-conjugated secondary antibody (green fluorescence), and counterstained with DAPI (blue) to mark nuclei. Representative images from three independent experiments are shown. Scale bar: 100 μm. (<b>C</b>) Quantification of fluorescence intensity: The fluorescence intensity of NLRP3 expression was quantified from the immunostaining results. Green fluorescence represents NLRP3 expression, and a statistical analysis of fluorescence intensity was performed. The data represent mean ± SEM from three independent experiments. S The designation “a” indicates a significant difference compared to SH-SY5Y cells treated with MPP<sup>+</sup> alone (<span class="html-italic">p</span> &lt; 0.001, one-way ANOVA).</p>
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<p>Effects of <b>hNSCs-Exos</b> on ASC and Caspase-1 Expression and Activity in SH-SY5Y Cells Exposed to MPP<sup>+</sup>. (<b>A</b>) ASC mRNA expression analysis: The mRNA transcripts of ASC were measured using qPCR. RNA was extracted from SH-SY5Y cells, reverse transcribed into cDNA, and subjected to qPCR to determine ASC expression levels. (<b>B</b>) Caspase-1 mRNA expression analysis: the mRNA transcripts of caspase-1 were also analyzed using qPCR following the same protocol as ASC to measure its expression. (<b>C</b>) Caspase-1 activity analysis: The activity of caspase-1 was measured using a Caspase-Glo<sup>®</sup> 1 inflammasome assay kit. Caspase-1 activity was quantified in SH-SY5Y cells to assess the inflammasome activation level. The data represent mean ± SEM from three independent experiments. The designation “a” indicates a significant difference compared to SH-SY5Y cells treated with MPP<sup>+</sup> alone (<span class="html-italic">p</span> &lt; 0.001, one-way ANOVA).</p>
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<p>Effects of <b>hNSCs-Exos</b> on the Secretion of Inflammatory Cytokines IL-1β and IL-18 in SH-SY5Y Cells Exposed to MPP<sup>+</sup>. (<b>A</b>) IL-1β Secretion analysis: The secretion of IL-1β from SH-SY5Y cells was measured using an ELISA assay. Cell culture supernatants were collected following treatment with MPP<sup>+</sup> and RES-hNSCs-Exos, and IL-1β levels were quantified. (<b>B</b>) IL-18 secretion analysis: similarly, the secretion of IL-18 was analyzed using ELISA from the same cell culture supernatants to assess inflammasome-induced cytokine release. The data represent mean ± SEM from three independent experiments. The designation “a” indicates a significant difference compared to SH-SY5Y cells treated with MPP<sup>+</sup> alone (<span class="html-italic">p</span> &lt; 0.001, one-way ANOVA).</p>
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20 pages, 5455 KiB  
Article
Mitofilin–mtDNA Axis Mediates Chronic Lead Exposure-Induced Synaptic Plasticity Impairment of Hippocampal and Cognitive Deficits
by Lihong Su, Jinchao Hou, Boxuan Wang, Yuqi Li, Xiaodong Huo, Tao Wang, Yuankang Zou and Gang Zheng
Biomolecules 2025, 15(2), 272; https://doi.org/10.3390/biom15020272 - 12 Feb 2025
Viewed by 519
Abstract
Neurotoxic damage resulting from lead pollution exposure constitutes a significant public health concern. The regulatory impact of lead (Pb) exposure on neuronal dendritic spine plasticity, a crucial mechanism for neuronal adaptation, warrants further investigation. To elucidate the role and mechanism of the Mitofilin–mtDNA [...] Read more.
Neurotoxic damage resulting from lead pollution exposure constitutes a significant public health concern. The regulatory impact of lead (Pb) exposure on neuronal dendritic spine plasticity, a crucial mechanism for neuronal adaptation, warrants further investigation. To elucidate the role and mechanism of the Mitofilin–mtDNA axis in hippocampal synaptic plasticity and learning and memory impairment induced by lead exposure, in this study, both in vivo and in vitro models were subjected to chronic lead exposure. The results showed that the spatial learning and memory abilities of lead-exposed mice were significantly reduced. Furthermore, Western blotting and RT-PCR analyses demonstrated a significant down-regulation in the expression of the mitochondrial inner membrane protein Mitofilin. Extended exposure to lead has the potential to compromise the plasticity of dendritic spines within the CA1 region of hippocampal neurons and disrupt the structural integrity of neuronal mitochondria. Furthermore, lead exposure was associated with elevated levels of malondialdehyde (MDA) and reactive oxygen species (ROS) in neurons. The study additionally demonstrated that the overexpression of Mitofilin ameliorated deficits in spatial learning and memory in mice subjected to chronic lead exposure. This overexpression also facilitated the normal formation of neuronal dendritic spines, preserved the structural integrity of the mitochondrial inner membrane, and mitigated mitochondrial damage. The study further revealed that the overexpression of Mitofilin markedly suppressed the release of mitochondrial DNA (mtDNA) in neurons subjected to chronic lead exposure, while concurrently reducing the expression levels of the inflammasome Nlrp3 and the inflammatory cytokine IL-1β. Additionally, there was a significant reduction in the levels of malondialdehyde (MDA) and reactive oxygen species (ROS) in lead-exposed neurons with Mitofilin overexpression. These findings suggest that the mitochondrial inner membrane protein Mitofilin may play a role in mediating synaptic plasticity impairment following chronic lead exposure through the regulation of mitochondrial function. Full article
(This article belongs to the Section Molecular Medicine)
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Figure 1
<p>Spatial learning and memory ability of mice damaged by chronic lead exposure. (<b>A</b>) The concentrations of blood and brain lead in mice following chronic lead exposure were measured using atomic absorption spectroscopy (AAS). (<b>B</b>) A representative model of the water maze experiment in mice subjected to chronic lead exposure. (<b>C</b>) The ratio of swimming speed to body weight in mice after chronic lead exposure was subjected to statistical analysis. (<b>D</b>) The water maze test trajectory of mice following chronic lead exposure(the green line represents the animal’s movement track, and the red circle is the platform location of the animal water maze experiment). (<b>E</b>) Statistical analysis of the escape latency period in mice after chronic lead exposure. (<b>F</b>) Statistical analysis of the total distance traveled in the target quadrant by mice following chronic lead exposure. (<b>G</b>) Statistical analysis of the duration spent in the target quadrant following chronic lead exposure. (<b>H</b>) Statistical analysis of the penetration time subsequent to chronic lead exposure. (<b>I</b>) Statistical analysis of the frequency of platform crossings after chronic lead exposure. (<b>J</b>) Experimental trajectory of novel object recognition in mice following chronic lead exposure(the green line represents the animal’s movement track). (<b>K</b>) Statistical analysis of the novel object cognition index subsequent to chronic lead exposure. (<b>L</b>) Statistical analysis of the frequency of novel object exploration following chronic lead exposure. (<b>M</b>) Tracking chart of mice in the open field experiment following chronic lead exposure(the green line represents the animal’s movement track). (<b>N</b>) Statistical analysis of the total distance covered in the open field after chronic lead exposure. (<b>O</b>) Statistical analysis of the average velocity in the open field following chronic lead exposure. (<b>P</b>) Statistical analysis of the total distance traveled in the central area of the open field after chronic lead exposure. (<b>Q</b>) Statistical analysis of the duration spent in the open field following chronic lead exposure. Data are presented as the mean ± SEM (n = 8). ** <span class="html-italic">p</span> &lt; 0.01 vs. Con; *** <span class="html-italic">p</span> &lt; 0.001 vs. Con.ns, not significant.</p>
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<p>The effects of chronic lead exposure on neuronal dendritic spine plasticity and mitochondrial structure and function. (<b>A</b>) Golgi staining was employed to examine alterations in neuronal dendritic spines within the CA1 region of the hippocampus in mice subjected to chronic lead exposure. (<b>B</b>) The density of neuronal dendritic spines in the hippocampal CA1 region was subjected to statistical analysis. (<b>C</b>) The length of dendritic spines in neurons of the hippocampal CA1 region was statistically analyzed. (<b>D</b>) The density of mushroom-type neuronal dendritic spines in the CA1 region of the hippocampus was statistically analyzed. (<b>E</b>) The density of stubby dendritic spines in neurons of the hippocampal CA1 region was statistically analyzed. (<b>F</b>) The mitochondrial structure of neurons in the CA1 region of the hippocampus was examined using transmission electron microscopy following chronic lead exposure (The red arrows indicate mitochondria; The red square indicates local magnification). (<b>G</b>) The effect of lead exposure on HT22 cell viability was determined by MTT. (<b>H</b>) Alterations in reactive oxygen species (ROS) levels in HT22 cells were assessed after chronic lead exposure. (<b>I</b>) Modifications in malondialdehyde (MDA) levels in HT22 cells were evaluated following chronic lead exposure. (<b>J</b>) Alterations in reactive oxygen species (ROS) levels in the hippocampus were assessed after chronic lead exposure. (<b>K</b>) Modifications in malondialdehyde (MDA) levels in the hippocampus were evaluated following chronic lead exposure. (<b>L</b>) Western blot analysis was conducted to determine the expression of Mitofilin in HT22 cells after chronic lead exposure. (<b>M</b>) Gray-scale analysis was performed to quantify the expression level of Mitofilin in HT22 cells following chronic lead exposure. (<b>N</b>) Western blot analysis was conducted to determine the expression of Mitofilin in the hippocampus tissue after chronic lead exposure. (<b>O</b>) Gray-scale analysis was performed to quantify the expression level of Mitofilin in the hippocampus tissue following chronic lead exposure. (<b>P</b>) RT-qPCR was employed to measure the expression level of Immt mRNA in HT22 cells after chronic lead exposure. Data are presented as the mean ± SEM (n = 5). ** <span class="html-italic">p</span> &lt; 0.01 vs. Con; *** <span class="html-italic">p</span> &lt; 0.001 vs. Con. Western blot original images are in the <a href="#app1-biomolecules-15-00272" class="html-app">Supplementary Materials</a>.</p>
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<p>Overexpression of Mitofilin improves learning and memory in mice by affecting the expression of Mitofilin after chronic lead exposure. (<b>A</b>) Stereotaxic injection of AAV-SYN- tdTomato-P2A-Mitofilin virus into the mouse brain to create a model map. (<b>B</b>) Statistical analysis of mRNA expression levels in the hippocampus of mice following Immt expression, as detected by RT-qPCR. (<b>C</b>) Assessment of the water maze test trajectories in mice post-Mitofilin overexpression(The green line represents the animal trajectory, and the red circle represents the location of the water maze experiment platform.). (<b>D</b>) Statistical analysis of the escape latency period following Mitofilin overexpression. (<b>E</b>) Statistical evaluation of the total distance covered in the target quadrant after Mitofilin overexpression. (<b>F</b>) Statistical analysis of the duration spent in the target quadrant following Mitofilin overexpression. (<b>G</b>) The duration of Mitofilin overexpression was subjected to statistical analysis. (<b>H</b>) Statistical analysis was conducted on the frequency of platform crossings following Mitofilin overexpression. (<b>I</b>) An experimental track map was generated to assess the interaction with new objects in mice post-Mitofilin overexpression(The red square represents the new object position). (<b>J</b>) The cognitive index related to new objects following Mitofilin overexpression underwent statistical evaluation. (<b>K</b>) The frequency of new object exploration subsequent to Mitofilin overexpression was analyzed statistically. (<b>L</b>) Western blot analysis was conducted to determine the expression of overexpressing Mitofilin in HT22 cells after chronic lead exposure. (<b>M</b>) Gray-scale analysis was performed to quantify the expression level of overexpressing Mitofilin in HT22 cells following chronic lead exposure. (<b>N</b>) Western blot analysis was conducted to determine the expression of overexpressing Mitofilin in hippocampus tissue after chronic lead exposure. (<b>O</b>) Gray-scale analysis was performed to quantify the expression level of overexpressing Mitofilin in hippocampus tissue following chronic lead exposure. Data are presented as the mean ± SEM (n = 8). * <span class="html-italic">p</span> &lt; 0.05 vs. Con+LV−NC; ** <span class="html-italic">p</span> &lt; 0.01 vs. Con+LV−NC; *** <span class="html-italic">p</span> &lt; 0.001 vs. Con+LV−NC; <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 vs. Pb+LV−NC; <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01 vs. Pb+LV−NC; <sup>###</sup> <span class="html-italic">p</span> &lt; 0.001 vs. Pb+LV−NC. Western blot original images are in the <a href="#app1-biomolecules-15-00272" class="html-app">Supplementary Materials</a>.</p>
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<p>Mitofilin overexpression protects neuronal dendritic spine plasticity damage after lead exposure by improving mitochondrial structural integrity. (<b>A</b>) Alterations in neuronal dendritic spines were examined using Golgi staining. (<b>B</b>) A statistical analysis was performed on the dendritic spine density of neurons within the CA1 region of the hippocampus. (<b>C</b>) A statistical analysis was conducted on the length of neuronal dendritic spines in the CA1 region of the hippocampus. (<b>D</b>) A statistical analysis was carried out on the density of mushroom-shaped dendritic spines in the CA1 region of the hippocampus. (<b>E</b>) A statistical analysis was conducted on the density of stubby dendritic spines in the CA1 region of the hippocampus following the overexpression of Mitofilin. (<b>F</b>) The mitochondrial architecture of neurons in the CA1 region of the hippocampus was examined using transmission electron microscopy subsequent to Mitofilin overexpression (The red arrows indicate mitochondria; The red square indicates local magnification). (<b>G</b>) Alterations in reactive oxygen species (ROS) levels in HT22 cells were assessed following Mitofilin overexpression. (H) Modifications in malondialdehyde (MDA) levels in HT22 cells were evaluated after the overexpression of Mitofilin. Data are presented as the mean ± SEM (n = 4). * <span class="html-italic">p</span> &lt; 0.05 vs. Con; ** <span class="html-italic">p</span> &lt; 0.01 vs. Con; *** <span class="html-italic">p</span> &lt; 0.001 vs. Con; <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01 vs. Pb+LV−NC; <sup>###</sup> <span class="html-italic">p</span> &lt; 0.001 vs. Pb+LV−NC.</p>
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<p>Inhibition of the release of mtDNA by mitofilin overexpression diminishes the resultant damage to neurons. (<b>A</b>) The release of mtDNA from neurons following the overexpression of Mitofilin was examined using cellular immunofluorescence staining. (<b>B</b>) Quantitative analyses were conducted to assess the alterations in mtDNA release in neurons post-Mitofilin overexpression. (<b>C</b>) The expression levels of Nlrp3 and IL-1β in HT22 cells subsequent to Mitofilin overexpression were determined via Western blot analysis. (<b>D</b>,<b>E</b>) The expression level of IL-1β in HT22 cells was evaluated through gray-scale analysis, as was the expression level of Nlrp3. (<b>F</b>) The expression levels of Nlrp3 and IL-1β in the hippocampus tissue subsequent to Mitofilin overexpression were determined via Western blot analysis. (<b>G</b>,<b>H</b>) The expression level of IL-1β in the hippocampus tissue was evaluated through gray-scale analysis, as was the expression level of Nlrp3. Data are presented as the mean ± SEM (n = 4). ** <span class="html-italic">p</span> &lt; 0.01 vs. Con; *** <span class="html-italic">p</span> &lt; 0.001 vs. Con; <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01 vs. Pb+LV−NC; <sup>###</sup> <span class="html-italic">p</span> &lt; 0.001 vs. Pb+LV−NC. Western blot original images are in the <a href="#app1-biomolecules-15-00272" class="html-app">Supplementary Materials</a>.</p>
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14 pages, 1811 KiB  
Article
COVID-19 Induces Greater NLRP3 Inflammasome Activation in Obese Patients than Other Chronic Illnesses: A Case–Control Study
by Raíssa Campos D’Amico, Seigo Nagashima, Lucas Baena Carstens, Karina de Guadalupe Bertoldi, Sabrina Mataruco, Júlio Cesar Honório D’Agostini, Elisa Carolina Hlatchuk, Sofia Brunoro da Silva, Lucia de Noronha and Cristina Pellegrino Baena
Int. J. Mol. Sci. 2025, 26(4), 1541; https://doi.org/10.3390/ijms26041541 - 12 Feb 2025
Viewed by 453
Abstract
Obesity has been identified as an independent risk factor for severe COVID-19 unfavorable outcomes. Several factors, such as increased ACE2 receptor expression and chronic inflammation, can contribute to this relationship, yet the activation of the NLRP3 inflammasome pathway is also a key element. [...] Read more.
Obesity has been identified as an independent risk factor for severe COVID-19 unfavorable outcomes. Several factors, such as increased ACE2 receptor expression and chronic inflammation, can contribute to this relationship, yet the activation of the NLRP3 inflammasome pathway is also a key element. Our primary goal was to determine whether chronic NLRP3 inflammasome activation in people with obesity is different in critical COVID-19 and in critical chronic conditions. A retrospective analysis was conducted using clinical data and post-mortem lung tissue samples from 14 COVID-19 patients with obesity (group A) and 9 patients with obesity who died from non-COVID-19 causes (group B). Immunohistochemical analysis assessed twelve markers related to the NLRP3 inflammasome pathway. Group A showed a significantly higher expression of ASC (p = 0.0387) and CASP-1 (p = 0.0142). No significant differences were found for IL-8, TNF-α, NF-kB, NLRP3, IL-1β, and gasdermin-D. Group B had higher levels of IL-6 (p < 0.0001), IL-18 (p = 0.002), CASP-9 (p < 0.0001), and HIF (p = 0.0327). We concluded that COVID-19 activates the NLRP3 inflammasome pathway, possibly leading to pyroptotic cell death mediated by caspase-1. In contrast, people with obesity without COVID-19, despite exhibiting some markers of the NLRP3 inflammasome, are more likely to experience necroptosis mediated by caspase-9. Full article
(This article belongs to the Special Issue Roles of Inflammasomes in Inflammatory Responses and Human Diseases)
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Figure 1
<p>Biomarkers with higher expression in group B. Graphical representation of the percentage of immunoexpression per high-power field (HPF, 400× magnification) for interleukin-6 (IL-6, panel (<b>A</b>)), interleukin-18 (IL-18, panel (<b>B</b>)), caspase-9 (CASP-9, panel (<b>C</b>)), and hypoxia-inducible factor (HIF, panel (<b>D</b>)). Statistical analysis revealed significant differences, with lower tissue expression levels (highlighted by red arrows) observed in group A (COVID-19) compared to group B (Control). The corresponding <span class="html-italic">p</span>-values were as follows: IL-6 (<span class="html-italic">p</span> &lt; 0.0001), IL-18 (<span class="html-italic">p</span> = 0.002), CASP-9 (<span class="html-italic">p</span> &lt; 0.0001), and HIF (<span class="html-italic">p</span> = 0.0327). Statistical significance was determined using the non-parametric Mann–Whitney test (<span class="html-italic">p</span> &lt; 0.05). Scale bar = 50 μm.</p>
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<p>Biomarkers with higher expression in group A. Graphical representation of the percentage of immunoexpression per high-power field (HPF, 400× magnification) for apoptosis-associated speck-like protein (ASC, panel (<b>A</b>)) and caspase-1 (CASP-1, panel (<b>B</b>)). Statistical analysis indicated significant differences, with higher tissue expression levels (highlighted by red arrows) observed in group A (COVID-19) compared to group B (Control). The corresponding <span class="html-italic">p</span>-values were as follows: ASC (<span class="html-italic">p</span> = 0.0387) and CASP-1 (<span class="html-italic">p</span> = 0.0142). Statistical significance was determined using the non-parametric Mann–Whitney test (<span class="html-italic">p</span> &lt; 0.05). Scale bar = 50 μm.</p>
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<p>Biomarkers with no statistical difference between the studied groups. Graphical representation of the percentage of immunoexpression per high-power field (HPF, 400× magnification) for interleukin-8 (IL-8, panel (<b>A</b>)), tumor necrosis factor alpha (TNF-α, panel (<b>B</b>)), nuclear factor-kappa B (NF-κB, panel (<b>C</b>)), interleukin-1β (IL-1β, panel (<b>E</b>)), and gasdermin D (GASD-D, panel (<b>F</b>)). The NOD-like receptor protein 3 (NLRP3, panel (<b>D</b>)) is presented using the Allred score per HPF. None of the analyzed markers showed statistically significant differences in tissue expression (highlighted by red arrows) observed in group A (COVID-19) compared to group B (Control). The <span class="html-italic">p</span>-values were as follows: IL-8 (<span class="html-italic">p</span> = 0.8291), TNF-α (<span class="html-italic">p</span> = 0.2349), NF-κB (<span class="html-italic">p</span> = 0.9784), NLRP3 (<span class="html-italic">p</span> &gt; 0.9999), IL-1β (<span class="html-italic">p</span> = 0.5856), and GASD-D (<span class="html-italic">p</span> = 0.6883). Statistical analyses were performed using the non-parametric Mann–Whitney test (<span class="html-italic">p</span> &lt; 0.05). Scale bar = 50 μm.</p>
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19 pages, 3499 KiB  
Article
Acid Sphingomyelinase and Ceramide Signaling Pathway Mediates Nicotine-Induced NLRP3 Inflammasome Activation and Podocyte Injury
by Mohammad Atiqur Rahman, Sayantap Datta, Harini Lakkakula, Saisudha Koka and Krishna M. Boini
Biomedicines 2025, 13(2), 416; https://doi.org/10.3390/biomedicines13020416 - 9 Feb 2025
Viewed by 583
Abstract
Background: Recent studies have shown that Nlrp3 inflammasome activation is importantly involved in podocyte dysfunction induced by nicotine. The present study was designed to test whether acid sphingomyelinase (Asm) and ceramide signaling play a role in mediating nicotine-induced Nlrp3 inflammasome activation and subsequent [...] Read more.
Background: Recent studies have shown that Nlrp3 inflammasome activation is importantly involved in podocyte dysfunction induced by nicotine. The present study was designed to test whether acid sphingomyelinase (Asm) and ceramide signaling play a role in mediating nicotine-induced Nlrp3 inflammasome activation and subsequent podocyte damage. Methods and Results: Nicotine treatment significantly increased the Asm expression and ceramide production compared to control cells. However, prior treatment with amitriptyline, an Asm inhibitor significantly attenuated the nicotine-induced Asm expression and ceramide production. Confocal microscopic and biochemical analyses showed that nicotine treatment increased the colocalization of NLRP3 with Asc, Nlrp3 vs. caspase-1, IL-1? production, caspase-1 activity, and desmin expression in podocytes compared to control cells. Pretreatment with amitriptyline abolished the nicotine-induced colocalization of NLRP3 with Asc, Nlrp3 with caspase-1, IL-1? production, caspase-1 activity and desmin expression. Immunofluorescence analyses showed that nicotine treatment significantly decreased the podocin expression compared to control cells. However, prior treatment with amitriptyline attenuated the nicotine-induced podocin reduction. In addition, nicotine treatment significantly increased the cell permeability, O2 production, and apoptosis compared to control cells. However, prior treatment with amitriptyline significantly attenuated the nicotine-induced cell permeability, O2 production and apoptosis in podocytes. Conclusions: Asm is one of the important mediators of nicotine-induced inflammasome activation and podocyte injury. Asm may be a therapeutic target for the treatment or prevention of glomerulosclerosis associated with smoking. Full article
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<p>Asm inhibition attenuated nicotine-induced ceramide production. Representative immunofluorescence images (<b>A</b>) and quantification analysis (<b>B</b>) depicting ceramide expression in podocytes under different treatment conditions, including nicotine stimulation and/or amitriptyline, an Asm inhibitor. Image quantification was performed using ImageJ software. N = 20. * Indicates a significant difference compared to the control group, while # denotes a significant difference from the nicotine-treated group.</p>
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<p>Asm inhibition attenuated nicotine-induced Asm expression and activity. Analysis of acid sphingomyelinase (Asm) activity (<b>A</b>) and expression (<b>B</b>) in podocytes treated with nicotine and/or amitriptyline, an Asm inhibitor. Immunofluorescence images were quantified using ImageJ software. N = 20 for immunofluorescence analysis. * Represents a significant difference from the control group, while # indicates a significant difference from the nicotine-treated group.</p>
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<p>Inhibition of Asm attenuated nicotine-induced inflammasomes formation in podocytes. Confocal images representing the colocalization of Nlrp3 (green) with Caspase-1 (red) (<b>A</b>) and Nlrp3 (green) with Asc (red) (<b>C</b>) in podocytes (original magnification ×100). Summarized data showing the fold change of the Pearson coefficient correlation (PCC) for the colocalization of Nlrp3 with caspase-1 (<b>B</b>) and Nlrp3 with Asc (<b>D</b>). Ctrl: control, Veh: vehicle, Ami: amitriptyline. Images were quantified using Image Pro Plus software. N = 18–20. * Significant difference from the control, # Significant difference from the nicotine-treated group.</p>
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<p>Inhibition of Asm attenuated nicotine-induced inflammasomes activation in podocytes. Data are presented as arithmetic means ± SEM (n = 6 per group) for IL-1β production (<b>A</b>) and caspase-1 activity (<b>B</b>) in podocytes exposed to nicotine, with or without amitriptyline, an Asm inhibitor. * Significant difference from the control, # Significant difference from the nicotine-treated group.</p>
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<p>Inhibition of Asm attenuated nicotine-induced podocytes damage. Confocal images represent the expressions of Podocin (<b>A</b>) and summarized quantification of Podocin (<b>B</b>). Western Blot data show the expression of Podocin (<b>C</b>) and summarized quantification of Podocin (<b>D</b>). N = 15–20 each group for immunofluorescence expression. Ctrl: control, Veh: vehicle, Ami: amitriptyline. Image analysis was performed using ImageJ software. * Indicates a significant difference from the control group, while # denotes a significant difference from the nicotine-treated group.</p>
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<p>Inhibition of Asm attenuated nicotine-induced podocytes damage. Confocal images represent the expressions of desmin (<b>A</b>) and summarized quantification of desmin (<b>B</b>). Western blot data show the expression of desmin (<b>C</b>) and summarized quantification of desmin (<b>D</b>). N = 15–20 each group for immunofluorescence expression. Ctrl: control, Veh: vehicle, Ami: amitriptyline. Images were quantified using Image J software. * Significant difference from the control; # significant difference from the nicotine-treated group.</p>
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<p>Suppression of Asm effectively reduced nicotine-induced increases in podocyte permeability. Data are presented as arithmetic means ± SEM (n = 9 per group) for podocyte permeability in podocytes with or without nicotine stimulation and/or amitriptyline, an Asm inhibitor. * Indicates a significant difference from the control group, while # denotes a significant difference from the nicotine-treated group.</p>
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<p>O<sub>2</sub>.<sup>−</sup> Production in podocytes with or without nicotine and/or amitriptyline treatment. Values are arithmetic means ± SE (n = 6 each group) of O<sub>2</sub>.<sup>−</sup> production in podocytes with or without nicotine and/or amitriptyline treatment. Ctrl: control, * significant difference (<span class="html-italic">p</span> &lt; 0.05) compared to the control group; # significant difference from the nicotine-treated group.</p>
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<p>Inhibition of Asm protects against nicotine-induced apoptosis in podocytes. Flow cytometry analysis (<b>A</b>) and corresponding quantification (<b>B</b>) were performed to investigate the role of Asm in nicotine-mediated podocyte apoptosis. Data were analyzed using FlowJo v10.10.0 software, with apoptotic cells (%) calculated as the sum of early apoptotic, late apoptotic, and necrotic populations. Results are presented as fold change relative to the control group. * <span class="html-italic">p</span> &lt; 0.05 vs. control group, <span class="html-italic">p</span> &lt; 0.05 vs. nicotine-treated group; <sup>#</sup> significant difference from the nicotine-treated group. Q1: necrotic cells, Q2: late apoptotic cells, Q3: early apoptotic cells, Q4: live cells, Ctrl: control podocytes, Nico: nicotine (8 µM)-treated podocytes.</p>
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15 pages, 3018 KiB  
Article
Withaferin A Attenuates Muscle Cachexia Induced by Angiotensin II Through Regulating Pathways Activated by Angiotensin II
by Sham S. Kakar, Vasa Vemuri and Mariusz Z. Ratajczak
Cells 2025, 14(4), 244; https://doi.org/10.3390/cells14040244 - 8 Feb 2025
Viewed by 542
Abstract
Cachexia is a multifactorial syndrome characterized by severe muscle wasting and is a debilitating condition frequently associated with cancer. Previous studies from our group revealed that withaferin A (WFA), a steroidal lactone, mitigated muscle cachexia induced by ovarian tumors in NSG mice. However, [...] Read more.
Cachexia is a multifactorial syndrome characterized by severe muscle wasting and is a debilitating condition frequently associated with cancer. Previous studies from our group revealed that withaferin A (WFA), a steroidal lactone, mitigated muscle cachexia induced by ovarian tumors in NSG mice. However, it remains unclear whether WFA’s protective effects are direct or secondary to its antitumor properties. We developed a cachectic model through continuous angiotensin II (Ang II) infusion in C57BL/6 mice to address this issue. Ang II infusion resulted in profound muscle atrophy, evidenced by significant reductions in grip strength and in the TA, GA, and GF muscle mass. Molecular analyses indicated elevated expression of inflammatory cytokines (TNFα, IL-6, MIP-2, IL-18, IL-1β), NLRP3 inflammasome, and genes associated with the UPS (MuRF1, MAFBx) and autophagy pathways (Bacl1, LC3B), along with suppression of anti-inflammatory heme oxygenase-1 (HO-1) and myogenic regulators (Pax7, Myod1). Strikingly, WFA treatment reversed these pathological changes, restoring muscle mass, strength, and molecular markers to near-normal levels. These findings demonstrate that WFA exerts direct anti-cachectic effects by targeting key inflammatory and atrophic pathways in skeletal muscle, highlighting its potential as a novel therapeutic agent for cachexia management. Full article
(This article belongs to the Section Cells of the Cardiovascular System)
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<p>Withaferin A effectively restores grip strength impaired by Ang II. The normalized average grip strength, including (<b>A</b>) forelimb and (<b>B</b>) total limb strength, was assessed across Ang II-infused vehicle-treated groups and saline-infused controls, as well as the WFA-treated group (4 mg/kg) at baseline (week 0) and subsequent time points (week 1, week 2, and week 4) after osmotic pump implantation (N = 5 per group). Statistical analysis utilizing two-way ANOVA and Tukey’s multiple comparison tests revealed significant differences between groups. Statistical significance is indicated as follows: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001, comparing Ang II-infused vehicle-treated groups to saline-infused controls. Additionally, <sup>@@</sup> <span class="html-italic">p</span> &lt; 0.01, <sup>@@@</sup> <span class="html-italic">p</span> &lt; 0.001 denote significant differences between Ang II-infused WFA-treated groups and Ang II-infused vehicle-treated groups. N = 5/group.</p>
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<p>Withaferin A reduces muscle weight loss caused by Ang II infusion. The graph displays the wet weights of the tibialis anterior (TA), gastrocnemius (GA), and quadriceps femoris (QF) muscles, normalized to initial body weight (IBW) to account for baseline variability among experimental groups (N = 5 per group). Ang II infusion significantly decreased normalized muscle weights compared to the saline-infused vehicle-treated controls. Treatment with withaferin A (WFA) significantly recovered muscle mass in Ang II-infused animals and increased muscle weights in saline-infused animals. Statistical significance was assessed using two-way ANOVA followed by Tukey’s multiple comparison post hoc analysis. Symbols denote: ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001 for comparisons between Ang II-infused vehicle-treated and saline-infused groups, and <sup>@@</sup> <span class="html-italic">p</span> &lt; 0.01; <sup>@@@</sup> <span class="html-italic">p</span> &lt; 0.001; <sup>@@@@</sup> <span class="html-italic">p</span> &lt; 0.0001 for comparisons between Ang II-infused WFA-treated and Ang II-infused vehicle-treated groups.</p>
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<p>Withaferin A restores myofibrillar integrity in skeletal muscle. (<b>A</b>) Representative transverse sections of the tibialis anterior (TA) muscle, stained with hematoxylin and eosin (H&amp;E), highlight structural differences among the treatment groups. The images illustrate how withaferin A affects muscle architecture, showing visible differences in myofiber size and organization. Insets provide magnified views of selected areas from the larger images to effectively showcase the cellular and tissue-level changes. Scale bar = 50 μm. (<b>B</b>) Quantitative analysis of myofiber cross-sectional area (CSA) clarifies the impact of withaferin A treatment on myofiber size. (<b>C</b>) Minimal Feret’s diameter measurements further quantify myofiber integrity, assessing the structural alterations in the TA muscle. Together, these parameters reveal the restorative effects of withaferin A on muscle structure and integrity. Data represent a sample size of N = 5 per group. Statistical analysis indicates significance at ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001, marking significant differences between Ang II-infused groups and their saline-infused counterparts. Additionally, <sup>@@@@</sup> <span class="html-italic">p</span> &lt; 0.0001 highlights a significant difference between Ang II-infused, WFA-treated groups and Ang II-infused vehicle-treated groups. Statistical assessments were conducted using two-way ANOVA followed by Tukey’s multiple comparison test for post hoc analysis.</p>
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<p>Withaferin A influences the expression of inflammatory cytokines in gastrocnemius (GA) muscles induced by Ang II. Relative mRNA expression levels of pro-inflammatory cytokines (TNF-α, IL-6, MIP-2, IL-18, IL-1β) and the anti-inflammatory cytokine HO-1 in GA muscles were measured. Data are presented as the mean ± SD, with individual data points shown as black circles (N = 5 per group). Statistical significance was assessed using two-way ANOVA followed by Tukey’s multiple comparison test. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001 indicate significant differences between the Ang II-infused and saline-infused vehicle-treated groups. <sup>@@</sup> <span class="html-italic">p</span> &lt; 0.01, <sup>@@@</sup> <span class="html-italic">p</span> &lt; 0.001, <sup>@@@@</sup> <span class="html-italic">p</span> &lt; 0.0001 denote significant differences between the Ang II-infused WFA-treated group and the Ang II-infused vehicle-treated group.</p>
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<p>Withaferin A reverses Ang II-induced activation of the NLRP3 inflammasome. Mice were infused with Ang II, as outlined in the Materials and Methods section. After 4 weeks of continuous Ang II infusion, gastrocnemius muscle tissues were collected from each of the four experimental groups. The mRNA expression levels of NLRP3 and Caspase-1 were quantified using quantitative reverse transcription polymerase chain reaction (qRT-PCR). Data are presented as mean ± SD (n = 5 per group). Statistical significance was assessed by comparing the Ang II-infused groups to the saline-infused controls, with ** <span class="html-italic">p</span> &lt; 0.01 and **** <span class="html-italic">p</span> &lt; 0.0001. Additionally, <sup>@@@@</sup> <span class="html-italic">p</span> &lt; 0.0001 denotes a significant difference between the Ang II-infused vehicle-treated and Ang II-infused WFA-treated groups.</p>
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<p>Withaferin A downregulates the activation of the ubiquitin–proteasome system (UPS) and autophagy-related genes. This figure displays relative mRNA levels of key markers linked to the UPS and autophagy in gastrocnemius (GA) muscles from both saline-infused and Ang II-infused groups. Data are presented as mean ± SD, with N = 5 per group. Statistical significance was assessed using two-way ANOVA followed by Tukey’s multiple comparison post hoc analysis. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001 indicate significant differences between Ang II-infused and saline-infused vehicle-treated groups. Additionally, <sup>@@@@</sup> <span class="html-italic">p</span> &lt; 0.0001 shows significant differences from the corresponding values of the Ang II-infused WFA-treated group compared to the Ang II-infused vehicle-treated group.</p>
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<p>Withaferin A (WFA) reduces the expression of satellite cell-related genes in response to Ang II infusion. mRNA levels of Pax7 and Myod1 were measured in gastrocnemius (GA) muscles from saline-infused and Ang II-infused animals, both with and without WFA treatment. N = 5 per group. Data are presented as mean ± SD. * <span class="html-italic">p</span> &lt; 0.05 and **** <span class="html-italic">p</span> &lt; 0.0001 indicate significant differences from the corresponding value of the Ang II-infused vehicle-treated group, as determined by two-way ANOVA followed by Tukey’s multiple comparison test. <sup>@@@@</sup> <span class="html-italic">p</span> &lt; 0.0001 indicates a significant difference comparing the Ang II-infused vehicle-treated group to the Ang II-infused WFA-treated group.</p>
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