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25 pages, 6489 KiB  
Article
The PERK-eIF2α-ATF4 Axis Is Involved in Mediating ER-Stress-Induced Ferroptosis via DDIT4-mTORC1 Inhibition and Acetaminophen-Induced Hepatotoxicity
by Thu-Hang Thi Nghiem, Kim Anh Nguyen, Fedho Kusuma, Soyoung Park, Jeongmin Park, Yeonsoo Joe, Jaeseok Han and Hun Taeg Chung
Antioxidants 2025, 14(3), 307; https://doi.org/10.3390/antiox14030307 - 3 Mar 2025
Viewed by 115
Abstract
Ferroptosis, a regulated form of cell death characterized by lipid peroxidation and iron accumulation, is increasingly recognized for its role in disease pathogenesis. The unfolded protein response (UPR) has been implicated in both endoplasmic reticulum (ER) stress and ferroptosis-mediated cell fate decisions; yet, [...] Read more.
Ferroptosis, a regulated form of cell death characterized by lipid peroxidation and iron accumulation, is increasingly recognized for its role in disease pathogenesis. The unfolded protein response (UPR) has been implicated in both endoplasmic reticulum (ER) stress and ferroptosis-mediated cell fate decisions; yet, the specific mechanism remains poorly understood. In this study, we demonstrated that ER stress induced by tunicamycin and ferroptosis triggered by erastin both activate the UPR, leading to the induction of ferroptotic cell death. This cell death was mitigated by the application of chemical chaperones and a ferroptosis inhibitor. Among the three arms of the UPR, the PERK-eIF2α-ATF4 signaling axis was identified as a crucial mediator in this process. Mechanistically, the ATF4-driven induction of DDIT4 plays a pivotal role, facilitating ferroptosis via the inhibition of the mTORC1 pathway. Furthermore, acetaminophen (APAP)-induced hepatotoxicity was investigated as a model of eIF2α-ATF4-mediated ferroptosis. Our findings reveal that the inhibition of eIF2α-ATF4 or ferroptosis protects against APAP-induced liver damage, underscoring the therapeutic potential of targeting these pathways. Overall, this study not only clarifies the intricate role of the PERK-eIF2α-ATF4 axis in ER-stress-and erastin-induced ferroptosis but also extends these findings to a clinically relevant model, providing a foundation for potential therapeutic interventions in conditions characterized by dysregulated ferroptosis and ER stress. Full article
(This article belongs to the Special Issue Oxidative Stress in Hepatic Diseases)
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Figure 1

Figure 1
<p>The UPR is involved in ferroptosis signaling pathway. (<b>A</b>–<b>C</b>) AML12 cells were treated with Tm (1 μg/mL) for 12 h. (<b>A</b>) Quantification of mRNA levels of indicated genes. (<b>B</b>) Intracellular ferrous iron level. (<b>C</b>) Lipid ROS was stained with BODIPY™ 581/591 C11 and measured by flow cytometry. (<b>D</b>) Protein levels of ER stress markers (GRP78 and DDIT3), apoptosis marker (cleaved caspase 3), and ferroptosis markers (GPX4, SLC7A11, and MDA) assessed by Western blot in AML12 cells after Tm treatment (0, 0.1, 0.5, 1, and 2 μg/mL) for 12 h or treatment with erastin (10 μM) for 24 h. (<b>E</b>) Cell viability in AML12 cells assessed by MTT after Tm (1 μg/mL) treatment in the presence or absence of Fer-1 (5 μM), Z-VAD (20 μM), or TUDCA (2 mM) for 12 h. (<b>F</b>) Western blot analysis of indicated proteins in AML12 cells after treatment with erastin (10 and 20 μM) for 24 h, RSL3 (2.5 and 5 μM) for 24 h, and Tm (0.5 and 1 μg/mL) for 12 h. (<b>G</b>–<b>J</b>) AML12 cells was treated with erastin (10 μM) in the presence or absence of TUDCA (1 mM), Fer-1 (5 μM), or 4-PBA (0.5 mM) for 24 h. (<b>G</b>) Western blot analysis of indicated proteins. (<b>H</b>) Quantification of mRNA levels of indicated genes. (<b>I</b>) Lipid ROS was stained with BODIPY™ 581/591 C11 and measured by flow cytometry. (<b>J</b>) Cell viability assesed by MTT. Data are mean ± SD (<span class="html-italic">n</span> = 3); * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and NS, not significant.</p>
Full article ">Figure 2
<p>PERK and its downsteam pathway is involved in the activation of ferroptic signaling. (<b>A</b>–<b>D</b>) AML12 cells were treated with Tm (1 μg/mL) in the presence or absence of GSK2606414 (0.5 μM) or Fer-1 (5 μM) for 12 h. (<b>A</b>) Quantification of mRNA levels of indicated genes. (<b>B</b>) Lipid ROS was stained with BODIPY™ 581/591 C11 and measured by flow cytometry. (<b>C</b>) Western blot analysis of indicated proteins. (<b>D</b>) Cell viability assessed by MTT. (<b>E</b>) <span class="html-italic">Perk</span><sup>+/+</sup> and <span class="html-italic">Perk</span><sup>−/−</sup> MEFs were treated with erastin (0, 1, 2.5, and 5 μM) for 6 h, and cell viability was analyzed by MTT assay. (<b>F</b>–<b>I</b>) Erastin (2.5 μM) was treated in <span class="html-italic">Perk</span><sup>+/+</sup> and <span class="html-italic">Perk</span><sup>−/−</sup> cells for 6 h. (<b>F</b>) Lipid ROS was stained with BODIPY™ 581/591 C11 and measured by flow cytometry. (<b>G</b>) Western blot analysis of indicated proteins. (<b>H</b>) Quantification of mRNA levels of indicated genes. (<b>I</b>) Representative images of transmission electron microscopy images. White arrows indicate mitochondrial shrinkage, increased electron density, and rupture of the outer mitochondrial membrane. (<b>J</b>–<b>M</b>) AML12 cells were treated with erastin (10 μM) in the presence or absence of ISRIB (1 μM) or Fer-1 (5 μM) for 24 h. (<b>J</b>) Cell viability assessed by MTT. (<b>K</b>) Lipid ROS was stained with BODIPY™ 581/591 C11 and measured by flow cytometry. (<b>L</b>) Western blot analysis of indicated proteins. (<b>M</b>) Quantification of mRNA levels of indicated genes. Data are mean ± SD (<span class="html-italic">n</span> = 3); ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and NS, not significant.</p>
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<p>ATF4 is an important transcription factor for erastin-induced ferroptotic pathway. (<b>A</b>) Cell viability assessed by MTT in <span class="html-italic">Atf4</span><sup>+/+</sup> and <span class="html-italic">Atf4</span><sup>−/−</sup> MEFs treated with erastin (0, 10, 20, and 40 μM) for 24 h. (<b>B</b>–<b>E</b>) <span class="html-italic">Atf4</span><sup>+/+</sup> and <span class="html-italic">Atf4</span><sup>−/−</sup> MEFs were treated with erastin (10 μM) for 24 h. (<b>B</b>) Quantification of mRNA levels of Ptgs2. (<b>C</b>) Lipid ROS was stained with BODIPY™ 581/591 C11 and measured by flow cytometry. (<b>D</b>) Western blot analysis of indicated proteins. (<b>E</b>) Protein expression in panel (<b>D</b>) was quantified by image J. (<b>F</b>–<b>I</b>) Wild-type MEFs were infected with Ad-GFP or Ad-ATF4 for 24 h. (<b>F</b>) Cell viability assessed by MTT after treatment with erastin (0, 10, 20, and 40 μM) for 24 h. (<b>G</b>) Quantification of mRNA levels of Ptgs2 after erastin (10 μM) treatment for 24 h. (<b>H</b>) Lipid ROS was stained with BODIPY™ 581/591 C11 and measured by flow cytometry. (<b>I</b>) Western blot analysis of indicated proteins after erastin (10 μM) treatment for 24 h. (<b>J</b>–<b>M</b>) To rescue the expression of ATF4, Ad-GFP, or Ad-ATF4 were infected in <span class="html-italic">Atf4</span><sup>−/−</sup> cells in the presence or absence of erastin (10 μM) for 24 h. (<b>J</b>) Cell viability assessed by MTT. (<b>K</b>) Quantification of mRNA level of Ptgs2. (<b>L</b>) Lipid ROS was stained with BODIPY™ 581/591 C11 and measured by flow cytometry. (<b>M</b>) Western blot analysis of indicated proteins. Data are mean ± SD (<span class="html-italic">n</span> = 3); * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>ATF4-induced DDIT4 and subsequent mTORC1 inhibition trigger ferroptotic signaling. (<b>A</b>) Western blot analysis of indicated proteins in AML12 cells after Torin1 treatment (0, 0.5, 1, and 2 μM) for 24 h. (<b>B</b>–<b>D</b>) AML12 cells were treated with erastin (5 μM) or Torin1 (0.5 μM) in the presence or absence of Fer-1 (10 μM) for 16 h. (<b>B</b>) Lipid ROS was stained with BODIPY™ 581/591 C11 and measured by flow cytometry. (<b>C</b>) Cell viability assessed by MTT. (<b>D</b>) Quantification of mRNA level of <span class="html-italic">Ptgs2</span>. (<b>E</b>) Western blot analysis of indicated proteins in AML12 after treatment with erastin (10 μM) at indicated times. (<b>F</b>–<b>I</b>) For knockdown <span class="html-italic">Ddit4</span>, AML12 cells were transfected with control siRNA (<span class="html-italic">scRNA</span>) or <span class="html-italic">siDdit4</span> for 36 h. (<b>F</b>) Western blot analysis of indicated proteins after erastin (10 μM) treatment for 24 h. (<b>G</b>) Quantification of mRNA level of indicated genes. (<b>H</b>) Lipid ROS was stained with BODIPY™ 581/591 C11 and measured by flow cytometry. (<b>I</b>) Cell viability assessed by MTT assay after erastin treatment (0, 1.25, 2.5, 5, 10, and 20 μM) for 24 h. (<b>J</b>) <span class="html-italic">Atf4</span><sup>−/−</sup> cells were infected with Ad-GFP or Ad-ATF4 and then treated with erastin (10 μM) for 24 h. Western blot analysis of indicated proteins. (<b>K</b>–<b>L</b>) Ad-GFP and Ad-ATF4 were infected in <span class="html-italic">scRNA</span> or <span class="html-italic">siDdit4</span>-transfected AML12 cells followed by erastin (10 μM) treatment for 24 h. (<b>K</b>) Western blot analysis of indicated proteins. (<b>L</b>) Lipid ROS was stained with BODIPY™ 581/591 C11 and measured by flow cytometry. Data are mean ± SD (<span class="html-italic">n</span> = 3); * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and NS, not significant.</p>
Full article ">Figure 5
<p>Acentaminophen-induced ferroptosis is attenuated by inhibition of ISR in murine and human hepatocytes. (<b>A</b>) GSEA plot of transcriptomes from human liver organoids treated with APAP (10 mM) for 24 h. (<b>B</b>–<b>E</b>) APAP (20 mM) was treated for 12 h in the presence or absence of 2BAct (5 μM) or Fer-1 (5 μM) in AML12 cells. (<b>B</b>) Lipid ROS was stained with BODIPY™ 581/591 C11 and measured by flow cytometry. (<b>C</b>) Western blot analysis of indicated proteins. (<b>D</b>) Quantification of mRNA level of indicated genes. (<b>E</b>) Cell viability assessed by MTT. (<b>F</b>–<b>I</b>) APAP (20 mM) was treated for 24 h in the presence or absence of 2BAct (5 μM) or Fer-1 (5 μM) in HepG2 cells. (<b>F</b>) Lipid ROS was stained with BODIPY™ 581/591 C11 and measured by flow cytometry. (<b>G</b>) Western blot analysis of indicated proteins. (<b>H</b>) Quantification of mRNA level of indicated genes. (<b>I</b>) Cell viability assessed by MTT. Data are mean ± SD (<span class="html-italic">n</span> = 3); * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001.</p>
Full article ">Figure 6
<p>Acetaminophen-induced liver damage is mediated by eIF2a-ATF4-driven ferroptosis. (<b>A</b>–<b>F</b>) 16 h-fasted-C57BL6/J mice (8–10 weeks) were intraperitoneally injected with vehicle, 2BAct (10 mg/kg), or Fer-1 (10 mg/kg) 1 h prior to PBS or APAP (200 mg/kg) injection. (<b>A</b>) Schematic diagram of experimental design. (<b>B</b>) Representative image of liver sections stained with Hematoxylin and Eosin (H&amp;E). The percentage of damage areas were quantified by ImageJ software. (<b>C</b>) Serum levels of AST and ALT. (<b>D</b>) Quantification of mRNA level of indicated genes. (<b>E</b>) Western blot analysis of indicated proteins. (<b>F</b>) Representative image of liver section immunohistochemically stained against 4-HNE. The percentage of 4-HNE positive areas were quantified by ImageJ software. Data are mean ± SD (<span class="html-italic">n</span> = 3–6); * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001.</p>
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13 pages, 1841 KiB  
Article
The N-Linked Glycosylation Asn191 and Asn199 Sites Are Controlled Differently Between PKA Signal Transduction and pEKR1/2 Activity in Equine Follicle-Stimulating Hormone Receptor
by Sung-Hoon Kim, Munkhzaya Byambaragchaa, Sei Hyen Park, Myung-Hum Park, Myung-Hwa Kang and Kwan-Sik Min
Curr. Issues Mol. Biol. 2025, 47(3), 168; https://doi.org/10.3390/cimb47030168 - 2 Mar 2025
Viewed by 77
Abstract
Equine follicle-stimulating hormone receptor (eFSHR) contains four extracellular N-linked glycosylation sites, which play important roles in agonist-induced signal transduction. Glycosylation regulates G protein-coupled receptor mechanisms by influencing folding, ligand binding, signaling, trafficking, and internalization. Here, we examined whether the glycosylated sites in eFSHR [...] Read more.
Equine follicle-stimulating hormone receptor (eFSHR) contains four extracellular N-linked glycosylation sites, which play important roles in agonist-induced signal transduction. Glycosylation regulates G protein-coupled receptor mechanisms by influencing folding, ligand binding, signaling, trafficking, and internalization. Here, we examined whether the glycosylated sites in eFSHR are necessary for cyclic adenosine monophosphate (cAMP) signal transduction and the phosphate extracellular signal-regulated kinase 1/2 (pERK1/2) response. We constructed mutants (N191Q, N199Q, N268Q, and N293Q) of the four N-linked glycosylation sites in eFSHR using site-directed mutagenesis. In wild-type (wt) eFSHR, the cAMP response gradually increased dose-dependently, displaying a strong response at the EC50 and Rmax. Two mutants (N191Q and N199Q) considerably decreased the cAMP response. Both EC50 values were approximately 0.46- and 0.44-fold compared to that of the eFSHR-wt, whereas Rmax levels were 0.29- and 0.45-fold compared to eFSHR-wt because of high-ligand treatment. Specifically, the EC50 and Rmax values in the N268Q mutant were increased 1.23- and 1.46-fold, respectively, by eFSHR-wt. pERK1/2 activity in eFSHR-wt cells was rapid, peaked within 5 min, consistently sustained until 15 min, and then sharply decreased. pERK1/2 activity in the N191Q mutant showed a pattern similar to that of the wild type, despite impaired cAMP responsiveness. The N199Q mutant showed low pERK1/2 activity at 5 and 15 min. Interestingly, pERK1/2 activity in the N268Q and N298Q mutants was similar to that of eFSHR-wt at 5 min, but neither mutant showed any signaling at 15 min, despite displaying high cAMP responsiveness. Overall, eFSHR N-linked glycosylation sites can signal to pERK1/2 via PKA and the other signals, dependent on G protein coupling and β-arrestin-dependent recruitment. Our results provide strong evidence for a new paradigm in which cAMP signaling is not activated, yet pERK1/2 cascade remains strongly induced. Full article
(This article belongs to the Special Issue Hormonal Regulation in Germ Cell Development)
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Figure 1

Figure 1
<p>Schematic representation of the eFSHR structure. The N-linked glycosylation sites (N191, N199, N268, and N293) in the extracellular domain regions are indicated. The green circles indicate the putative four N-glycosylated sites. The extracellular region comprises 365 amino acids, indicating the longest extracellular region among G protein-coupled receptors. The three intracellular loops comprise 9, 25, and 25 amino acids. The intracellular regions have 65 amino acids, and the 10 potential phosphorylation sites (serine and threonine residues) are S641, T655, T657, S658, S659, T660, S664, T674, T684, and S689, indicated by yellow circles. EL, extracellular loop; IL, intracellular loop.</p>
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<p>Total cAMP levels induced by stimulation with the FSH in CHO-K1 cells transiently transfected with the N-linked glycosylation site mutants of eFSHR. Empty circles denote eFSHR-wt and black circles denote each mutant. The value of ΔF% was recalculated as cAMP concentration (nM). A representative dataset was obtained from three independent experiments. The figure depicts the results of a representative experiment performed with the indicated mutants.</p>
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<p>Rmax levels in the N-linked glycosylation mutants of eFSHR. The maximal cAMP responses presented in <a href="#cimb-47-00168-f002" class="html-fig">Figure 2</a> are displayed using a bar graph. * Statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) compared to the Rmax level of the eFSHR wild type.</p>
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<p>pERK1/2 activation in HEK-293 cells transfected with eFSHR-wt and mutants after stimulation with FSH. HEK-293 cells transiently expressing eFSHR-wt or mutants were serum-starved for 4–6 h before stimulation with 500 ng/mL FSH for the indicated time periods. Whole-cell lysates were analyzed for pERK1/2 and total ERK levels. (<b>A</b>–<b>C</b>) Western blot results for phospho-ERK1/2 and total ERK. (<b>D</b>–<b>G</b>) Quantified phosphor-ERK1/2 levels, normalized to total ERK, are expressed as a percentage of the maximal response (100% for eFSHR-wt at 5 min). Densitometry was used to quantify the phospho-ERK1/2 band. Representative data are shown, and graphs represent the mean ± SEM of three independent experiments. Statistical significance was determined using one-way ANOVA, followed by Tukey’s comparison test. * <span class="html-italic">p</span> &lt; 0.05 compared with eFSHR-wt cells at the corresponding time point.</p>
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28 pages, 8440 KiB  
Article
Feasibility Study of Biodegradable Vegetable Peels as Sustainable Fluid Loss Additives in Water-Based Drilling Fluids
by Olajide Ibrahim Oladipo, Foad Faraji, Hossein Habibi, Mardin Abdalqadir, Jagar A. Ali and Perk Lin Chong
J 2025, 8(1), 10; https://doi.org/10.3390/j8010010 - 1 Mar 2025
Viewed by 296
Abstract
Drilling fluids are vital in oil and gas well operations, ensuring borehole stability, cutting removal, and pressure control. However, fluid loss into formations during drilling can compromise formation integrity, alter permeability, and risk groundwater contamination. Water-based drilling fluids (WBDFs) are favored for their [...] Read more.
Drilling fluids are vital in oil and gas well operations, ensuring borehole stability, cutting removal, and pressure control. However, fluid loss into formations during drilling can compromise formation integrity, alter permeability, and risk groundwater contamination. Water-based drilling fluids (WBDFs) are favored for their environmental and cost-effective benefits but often require additives to address filtration and rheological limitations. This study explored the feasibility of using vegetable waste, including pumpkin peel (PP), courgette peel (CP), and butternut squash peel (BSP) in fine (75 μm) and very fine (10 μm) particle sizes as biodegradable WBDF additives. Waste vegetable peels were processed using ball milling and characterized via FTIR, TGA, and EDX. WBDFs, prepared per API SPEC 13A with 3 wt% of added additives, were tested for rheological and filtration properties. Results highlighted that very fine pumpkin peel powder (PP_10) was the most effective additive, reducing fluid loss and filter cake thickness by 43.5% and 50%, respectively. PP_10 WBDF maintained mud density, achieved a pH of 10.52 (preventing corrosion), and enhanced rheological properties, including a 50% rise in plastic viscosity and a 44.2% increase in gel strength. These findings demonstrate the remarkable potential of biodegradable vegetable peels as sustainable WBDF additives. Full article
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Figure 1

Figure 1
<p>Flowchart of procedural steps.</p>
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<p>Process flow diagram for the synthesis and characterization of biodegradable drilling fluid additives from vegetable peels.</p>
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<p>EDX analysis for (<b>a</b>) butternut squash peel, (<b>b</b>) courgette peel, (<b>c</b>) pumpkin peel, and FESEM analysis for (<b>d</b>) butternut squash peel, (<b>e</b>) courgette peel, and (<b>f</b>) pumpkin peel.</p>
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<p>FTIR analysis for (<b>a</b>) butternut squash peel, (<b>b</b>) courgette peel, and (<b>c</b>) pumpkin peel.</p>
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<p>TGA analysis for (<b>a</b>) butternut squash peel, (<b>b</b>) courgette peel, and (<b>c</b>) pumpkin peel.</p>
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<p>TGA analysis for (<b>a</b>) butternut squash peel, (<b>b</b>) courgette peel, and (<b>c</b>) pumpkin peel.</p>
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<p>Yield point, plastic viscosity, and apparent viscosity of base mud (BM) and biodegradable drilling fluids with vegetable peel additives at particle sizes (<b>a</b>) below 75 µm and (<b>b</b>) below 10 µm.</p>
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<p>Initial and final gel strength of BM and biodegradable drilling fluids with vegetable peel additives at particle sizes (<b>a</b>) below 75 µm and (<b>b</b>) below 10 µm.</p>
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<p>The relationship between shear strain rate and shear stress of (<b>a</b>) biodegradable pumpkin peel at 75 µm particle size, (<b>b</b>) biodegradable pumpkin peel at 10 µm particle size, (<b>c</b>) biodegradable butternut squash peel at 75 µm particle size, (<b>d</b>) biodegradable at butternut squash peel 10 µm at particle size, (<b>e</b>) biodegradable courgette peel at 75 µm particle size, and (<b>f</b>) biodegradable courgette peel at 10 µm particle size.</p>
Full article ">Figure 8 Cont.
<p>The relationship between shear strain rate and shear stress of (<b>a</b>) biodegradable pumpkin peel at 75 µm particle size, (<b>b</b>) biodegradable pumpkin peel at 10 µm particle size, (<b>c</b>) biodegradable butternut squash peel at 75 µm particle size, (<b>d</b>) biodegradable at butternut squash peel 10 µm at particle size, (<b>e</b>) biodegradable courgette peel at 75 µm particle size, and (<b>f</b>) biodegradable courgette peel at 10 µm particle size.</p>
Full article ">Figure 8 Cont.
<p>The relationship between shear strain rate and shear stress of (<b>a</b>) biodegradable pumpkin peel at 75 µm particle size, (<b>b</b>) biodegradable pumpkin peel at 10 µm particle size, (<b>c</b>) biodegradable butternut squash peel at 75 µm particle size, (<b>d</b>) biodegradable at butternut squash peel 10 µm at particle size, (<b>e</b>) biodegradable courgette peel at 75 µm particle size, and (<b>f</b>) biodegradable courgette peel at 10 µm particle size.</p>
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<p>(<b>a</b>) Viscosity and (<b>b</b>) shear stress as functions of shear rates of BM and biodegradable drilling fluids with vegetable peel additives at particle sizes below 75 µm and 10 µm.</p>
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<p>(<b>a</b>) Mud balance test, (<b>b</b>) pH analysis of BM, and biodegradable drilling fluids with vegetable peel additives at particle sizes below 75 µm and 10 µm.</p>
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<p>(<b>a</b>) Mud balance test, (<b>b</b>) pH analysis of BM, and biodegradable drilling fluids with vegetable peel additives at particle sizes below 75 µm and 10 µm.</p>
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<p>(<b>a</b>) Filtration rate over time, (<b>b</b>) filtration rate at 30 min of BM, and biodegradable drilling fluids with vegetable peel additives at particle sizes below 75 µm and 10 µm.</p>
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<p>Filter cakes thickness of BM and biodegradable drilling fluids with vegetable peel additives at particle sizes below 75 µm and 10 µm.</p>
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<p>Mechanism of filter cake formation on the borehole wall using BM and biodegradable drilling fluids with vegetable peel additives at particle sizes below 75 µm and 10 µm. The direction of the drilling mud during the operation is shown by the arrows.</p>
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1 pages, 128 KiB  
Retraction
RETRACTED: Dahal et al. PERK Is Critical for Alphavirus Nonstructural Protein Translation. Viruses 2021, 13, 892
by Bibha Dahal, Caitlin W. Lehman, Ivan Akhrymuk, Nicole R. Bracci, Lauren Panny, Michael D. Barrera, Nishank Bhalla, Jonathan L. Jacobs, Jonathan D. Dinman and Kylene Kehn-Hall
Viruses 2025, 17(3), 318; https://doi.org/10.3390/v17030318 - 26 Feb 2025
Viewed by 175
Abstract
The journal Viruses retracts the article “PERK Is Critical for Alphavirus Nonstructural Protein Translation” [...] Full article
(This article belongs to the Section Human Virology and Viral Diseases)
19 pages, 7288 KiB  
Article
Sparstolonin B Suppresses Proliferation and Modulates Toll-like Receptor Signaling and Inflammatory Pathways in Human Colorectal Cancer Cells
by Bürke Çırçırlı, Çağatay Yılmaz, Tuğçe Çeker, Zerrin Barut, Esma Kırımlıoğlu and Mutay Aslan
Pharmaceuticals 2025, 18(3), 300; https://doi.org/10.3390/ph18030300 - 21 Feb 2025
Viewed by 221
Abstract
Background: Sparstolonin B (SsnB), a natural compound with anti-inflammatory and anti-proliferative properties, was investigated for its effects on cell viability, apoptosis, and inflammatory pathways in human colorectal cancer cells (HCT-116) and healthy human fibroblasts (BJ). Phorbol 12-myristate 13-acetate (PMA), a tumor promoter and [...] Read more.
Background: Sparstolonin B (SsnB), a natural compound with anti-inflammatory and anti-proliferative properties, was investigated for its effects on cell viability, apoptosis, and inflammatory pathways in human colorectal cancer cells (HCT-116) and healthy human fibroblasts (BJ). Phorbol 12-myristate 13-acetate (PMA), a tumor promoter and inflammatory activator, was used to stimulate proliferation and inflammatory pathways. Methods: HCT-116 and BJ cells were treated with SsnB (3.125–50 μM) or PMA (1–10 nM) for 12–18 h. Cell viability was assessed using MTT analysis, while apoptosis was evaluated through cleaved caspase-3 staining, terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL), and flow cytometry. Proliferation was analyzed through proliferating cell nuclear antigen (PCNA) staining. Toll-like receptor (TLR) signaling, cytokine expression, and sphingolipid levels were measured using immunofluorescence, enzyme-linked immunosorbent assay (ELISA), and mass spectrometry, respectively. Results: SsnB reduced HCT-116 cell viability in a dose- and time-dependent manner with minimal effects on BJ cells. SsnB (25 μM, 12 h) decreased HCT-116 viability 0.6-fold, while PMA (10 nM, 12 h) increased it 2-fold (p < 0.01). No significant change was observed in BJ cells. PCNA fluorescence staining increased 2-fold with PMA and decreased 0.4-fold with SsnB (p < 0.001). PMA upregulated TLR2 and TLR4 mRNA and protein levels, with MyD88, p-ERK, and pNF-κB fluorescence increasing 2.1-, 1.5-, and 1.7-fold, respectively (p < 0.001). PMA elevated TNF-α, IL-1β, and IL-6 levels (p < 0.01). SsnB suppressed PMA-induced effects and promoted apoptosis, increasing cleaved caspase-3 levels by 1.5-fold and TUNEL staining by 1.9-fold (p < 0.01). Flow cytometry confirmed a significant increase in early and late apoptotic cells in the SsnB group. SsnB also increased ceramide (C18, C20, C22, and C24) levels (1.3- to 2.5-fold, p < 0.01) while reducing PMA-induced S1P and C1P increases (p < 0.01). Conclusions: SsnB selectively inhibits proliferation, induces apoptosis, and modulates inflammatory and sphingolipid pathways in colorectal cancer cells, with minimal toxicity to healthy fibroblasts, supporting its potential as a targeted therapeutic agent. Full article
(This article belongs to the Section Natural Products)
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<p>Cell viability and proliferation in HCT-116 and BJ cells. Images were acquired with a 40× objective. (<b>A</b>) Values are the mean ± SD and n = 8. Statistical analysis was performed using 2-way ANOVA with Tukey’s multiple comparisons. #, <span class="html-italic">p</span> &lt; 0.01 vs. control, DMSO, 3.125 and 6.25 μM groups within the same incubation period. *, <span class="html-italic">p</span> &lt; 0.001 vs. control, DMSO, 3.125, 6.25, and 12.5 μM groups within the same incubation period. <span>$</span>, <span class="html-italic">p</span> &lt; 0.001 vs. all other groups within the same incubation period. ¶¶¶, <span class="html-italic">p</span> &lt; 0.01 18 h vs. 12 h and 16 h. ¶¶, <span class="html-italic">p</span> &lt; 0.01 18 h vs. 16 h. ¶, <span class="html-italic">p</span> &lt; 0.01 18 h vs. 12 h. (<b>B</b>) Values are the mean ± SD and n = 8. Statistical analysis was performed using 2-way ANOVA with Tukey’s multiple comparisons. *, <span class="html-italic">p</span> &lt; 0.05 vs. control within the same incubation period. #, <span class="html-italic">p</span> &lt; 0.01 vs. control and DMSO within the same incubation period. ¶, <span class="html-italic">p</span> &lt; 0.01 12 h vs. 16 h and 18 h. ¶¶, <span class="html-italic">p</span> &lt; 0.01 12 h vs. 16 h. (<b>C</b>) HCT-116 cells were treated with DMSO (1 μL/mL), SsnB (25 μM), and/or PMA (10 nM) for 12 h. Values are the mean ± SD and n = 8. Statistical analysis was performed using one-way ANOVA with Tukey’s multiple comparisons. *, <span class="html-italic">p</span> &lt; 0.05 vs. all other groups. #, <span class="html-italic">p</span> &lt; 0.05 vs. DMSO and PMA. (<b>D</b>) Values are the mean ± SD and n = 8. Statistical analysis was performed using 2-way ANOVA with Tukey’s multiple comparisons. * <span class="html-italic">p</span> &lt; 0.05 vs. control DMSO and 6.25 μM groups within the same incubation period. #, <span class="html-italic">p</span> &lt; 0.05 vs. control, DMSO, 3.125, 6.25, and 12.5 μM groups within the same incubation period. <span>$</span>, <span class="html-italic">p</span> &lt; 0.05 vs. all other groups within the same incubation period. (<b>E</b>) Values are the mean ± SD and n = 8. Statistical analysis was performed using 2-way ANOVA with Tukey’s multiple comparisons. *, <span class="html-italic">p</span> &lt; 0.05 vs. control, 1 and 5 nM groups within the same incubation period. #, <span class="html-italic">p</span> &lt; 0.05 vs. 1 nM group within the same incubation period. (<b>F</b>) BJ cells were treated with DMSO (1 μL/mL), SsnB (25 μM), and/or PMA (10 nM) for 12 h. Values are the mean ± SD and n = 8. (<b>G</b>) HCT-116 and BJ cells were treated with DMSO (1 μL/mL), SsnB (25 μM), and/or PMA (10 nM) for 12 h. (<b>H</b>) Proliferating cell nuclear antigen (PCNA) was immunofluorescence stained in HCT-116 and BJ cells treated with DMSO (1μ/mL), SsnB (25 μM), and/or PMA (10 nM) for 12 h. (<b>I</b>) PCNA fluorescence staining in HCT-116 cells was quantified using ImageJ software. Values are the mean ± SD and n = 8. Statistical analysis was performed with one-way ANOVA with Tukey’s multiple comparisons. *, <span class="html-italic">p</span>  &lt;  0.001, vs. all other groups. #, <span class="html-italic">p</span>  &lt;  0.01, vs. control, DMSO, and PMA groups. (<b>J</b>) Levels of PCNA protein in HCT-116 cells. Values are the mean  ±  SD and n = 6. Statistical analysis was performed with one-way ANOVA with Tukey’s multiple comparisons. *, <span class="html-italic">p</span>  &lt;  0.01, vs. all other groups. #, <span class="html-italic">p</span>  &lt;  0.01, vs. SsnB. (<b>K</b>) PCNA fluorescence staining in BJ cells was quantified using ImageJ software. Values are the mean ± SD and n = 8. (<b>L</b>) Levels of PCNA protein in BJ cells. Values are the mean  ±  SD and n = 6.</p>
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<p>Evaluation of the TLR2-TLR4 signaling pathway in HCT-116 cells. Cells were treated with DMSO (1 μL/mL), SsnB (25 μM), and/or PMA (10 nM) for 12 h in all experiments. Images were acquired with a 40× objective. (<b>A</b>) PCR analysis of TLR2. Data show the mean ± SD and n = 4 different measurements. Statistical analysis was performed with the Kruskal–Wallis test and the difference between the groups was determined using Tukey’s test. *, <span class="html-italic">p</span> &lt; 0.05 vs. SsnB. (<b>B</b>) PCR analysis of TLR4. Data show the mean ± SD and n = 4 different measurements. Statistical analysis was performed with the Kruskal-Wallis test and the difference between the groups was determined using Tukey’s test. *, <span class="html-italic">p</span> &lt; 0.01 vs. SsnB. (<b>C</b>) Protein levels of Toll-like Receptor 2 (TLR2). Data show the mean ± SD and n = 6 different measurements. Statistical analysis was performed with one-way ANOVA with Tukey’s multiple comparisons. *, <span class="html-italic">p</span> &lt; 0.001 vs. all other groups. (<b>D</b>) Protein levels of TLR4. Data show the mean ± SD and n = 6 different measurements. Statistical analysis was performed with one-way ANOVA with Tukey’s multiple comparisons. *, <span class="html-italic">p</span> &lt; 0.001 vs. all other groups. (<b>E</b>) Myeloid differentiation primary response protein (MyD88), phospho-ERK, and phospho-NF-kB were immunofluorescence stained in HCT-116 cells. (<b>F</b>) MyD88 fluorescence staining was quantified using ImageJ software. Values are the mean ± SD and n = 8. Statistical analysis was performed with one-way ANOVA with Tukey’s multiple comparisons. *, <span class="html-italic">p</span>  &lt;  0.001, vs. all other groups. **, <span class="html-italic">p</span>  &lt;  0.001, vs. control and DMSO groups. (<b>G</b>) Protein levels of MyD88. Data show the mean ± SD and n = 6 different measurements. Statistical analysis was performed with one-way ANOVA with Tukey’s multiple comparisons. *, <span class="html-italic">p</span> &lt; 0.001 vs. all other groups. (<b>H</b>) Phospho-ERK fluorescence staining was quantified using ImageJ software. Values are the mean ± SD and n = 8. Statistical analysis was performed with one-way ANOVA with Tukey’s multiple comparisons. *, <span class="html-italic">p</span>  &lt;  0.01, vs. all other groups. (<b>I</b>) Phospho-NF-kB fluorescence staining was quantified using ImageJ software. Statistical analysis was performed with one-way ANOVA with Tukey’s multiple comparisons. *, <span class="html-italic">p</span> &lt; 0.001 vs. all other groups. (<b>J</b>) Protein levels of tumor necrosis factor-alpha (TNF-α). Data show the mean ± SD and n = 6 different measurements. Statistical analysis was performed with the Kruskal–Wallis test and the difference between the groups was determined with Dunn’s multiple comparisons. *, <span class="html-italic">p</span> &lt; 0.05 vs. control, DMSO, and SsnB. (<b>K</b>) Protein levels of interleukin 1Β (IL-1B). Data show the mean ± SD and n = 6 different measurements. Statistical analysis was performed with one-way ANOVA with Tukey’s multiple comparisons. *, <span class="html-italic">p</span> &lt; 0.05 vs. all other groups. (<b>L</b>) Protein levels of IL-6. Data show the mean ± SD and n = 6 different measurements. Statistical analysis was performed with one-way ANOVA with Tukey’s multiple comparisons. *, <span class="html-italic">p</span> &lt; 0.001 vs. all other groups.</p>
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<p>Apoptosis in HCT-116 cells. Cells were treated with DMSO (1 μL/mL), SsnB (25 μM), and/or PMA (10 nM) for 12 h in all experiments. Images were acquired with a 40× objective. (<b>A</b>) Representative immunofluorescent cleaved caspase-3 and TUNEL staining. (<b>B</b>) Cleaved caspase-3 fluorescence staining was quantified using ImageJ software. Values are the mean ± SD and n = 8 different measurements. Statistical analysis was performed with one-way ANOVA with Tukey’s multiple comparisons. *, <span class="html-italic">p</span>  &lt;  0.01, vs. control, DMSO, and PMA. (<b>C</b>) TUNEL staining was quantified using ImageJ software. Values are the mean ± SD and n = 8. Statistical analysis was performed with one-way ANOVA with Tukey’s multiple comparisons. *, <span class="html-italic">p</span>  &lt;  0.01, vs. all other groups. #, <span class="html-italic">p</span> &lt; 0.05 vs. control. (<b>D</b>) Representative analysis of apoptosis in HCT-116 cells via Annexin V–FITC and PI-labeled flow cytometry. In each panel, the lower left quadrant shows viable cells, the upper left quadrant shows early apoptotic cells, the upper right quadrant shows late apoptotic cells, and the lower right quadrant shows necrotic cells. A total of 10,000 cells were gated and analyzed for each condition. (<b>E</b>) Quantitative analysis of Annexin-V and PI labeling in HCT-116 cells experimental groups using flow cytometry. Data are representative of three separate experiments and values are given as the mean ± SD. Statistical analysis was performed with one-way ANOVA. The difference between groups was determined with Tukey’s test. *, <span class="html-italic">p</span> &lt; 0.05, compared to the control, DMSO, PMA, and PMA + SsnB groups. #, <span class="html-italic">p</span> &lt; 0.05, compared to the control and PMA groups.</p>
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<p>Structure of Sparstolonin [<a href="#B6-pharmaceuticals-18-00300" class="html-bibr">6</a>].</p>
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14 pages, 4838 KiB  
Article
Impact of Benzo(a)pyrene and Pyrene Exposure on Activating Autophagy and Correlation with Endoplasmic Reticulum Stress in Human Astrocytes
by Tanapan Siangcham, Pornpun Vivithanaporn, Kanyaluck Jantakee, Jittiporn Ruangtong, Nattaya Thongsepee, Pongsakorn Martviset, Pathanin Chantree, Phornphan Sornchuer and Kant Sangpairoj
Int. J. Mol. Sci. 2025, 26(4), 1748; https://doi.org/10.3390/ijms26041748 - 18 Feb 2025
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Abstract
Benzo(a)pyrene (B(a)P) and pyrene, the most prominent subtypes of polycyclic aromatic hydrocarbons (PAHs), contaminate environments as organic pollutants. They adversely affect body systems, including degeneration of the central nervous system. This study investigated the in vitro toxic effects of B(a)P and pyrene on [...] Read more.
Benzo(a)pyrene (B(a)P) and pyrene, the most prominent subtypes of polycyclic aromatic hydrocarbons (PAHs), contaminate environments as organic pollutants. They adversely affect body systems, including degeneration of the central nervous system. This study investigated the in vitro toxic effects of B(a)P and pyrene on proliferation, endoplasmic reticulum (ER) stress induction, and autophagy in human astrocytes using U-87 MG human astrocytoma cells as a model. Both B(a)P and pyrene were toxic to U-87 MG cells in a concentration-dependent manner. Astrocytic proliferation was interfered with, enhancing S-phase cell cycle arrest. B(a)P promoted the presence of autophagic vesicles and the expression of autophagic markers LC3, beclin-1, and p62, suggesting activated autophagy. B(a)P enhanced the expression of ER stress markers BiP, PERK, and IRE1. ER stress appeared to be correlated with autophagy induction, as demonstrated by experiments using chloroquine, an autophagy inhibitor. Pyrene enhanced the expression of autophagic markers and ER stress primarily via PERK activation, although autophagic vesicles were not observed. The study demonstrates that B(a)P enhances ER stress-mediated autophagy more evidently than pyrene and affected toxicity to astrocytes. These results provide a basis for understanding the toxic effects of the main PAH substances affecting astrocytes. Full article
(This article belongs to the Section Molecular Toxicology)
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<p>The predicted BBB permeability of B(a)P (<b>A</b>) and pyrene (<b>B</b>) obtained from Online BBB Predictor (<a href="https://www.cbligand.org/BBB/" target="_blank">https://www.cbligand.org/BBB/</a>, accessed on 1 June 2024).</p>
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<p>Viability of U-87 MG cells after exposure to B(a)P (<b>A</b>) and pyrene (<b>B</b>) for 24 and 48 h was measured by MTT assay. The percentage of viability in each concentration was compared with the untreated control (<span class="html-italic">n</span> = 5). ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 (<b>C</b>) The representative photomicrograph of morphological change in U87-MG cells after exposure to B(a)P or pyrene at 500 μM for 48 h. Arrowheads indicate flattened cytoplasm and straight processes. (Scale bar = 50 µm). (<b>D</b>) The percentage of U-87 MG cell number after exposure to B(a)P and pyrene at 500 μM for 48 h compared with the untreated control (<span class="html-italic">n</span> = 3). ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Effect on cell proliferation. The proliferation of U-87 MG cells was analyzed by CFSE assay. The mean fluorescence intensity (MFI) detected in cells following B(a)P (<b>A</b>), and pyrene (<b>B</b>) exposures for 96 h was compared with 0.1% DMSO-treated control (<span class="html-italic">n</span> = 3). ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>(<b>A</b>) Analysis of cell cycle. Change of cell cycle phases in U-87 MG cells after exposure to B(a)P and pyrene for 48 h was shown as the histograms of propidium iodide intensity. (<b>B</b>) The bar graph represents the percentage of cell number in each phase compared with 0.1% DMSO-treated control (<span class="html-italic">n</span> = 3). * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effect on induction of cellular autophagy. Induction of autophagic flux on B(a)P and pyrene-treated U-87 MG cells after incubation for 48 h was detected by the CYTO-ID<sup>Ⓡ</sup> autophagy assay staining. The bar graph represents the green fluorescence intensity detected in treated cells compared with 0.1% DMSO or CQ-treated controls (<span class="html-italic">n</span> = 3). * <span class="html-italic">p</span> &lt; 0.05 and *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Analysis of autophagic protein expression level. (<b>A</b>) Immunoblot analysis of autophagic markers LC3, beclin-1, and p62 expression in U-87 MG cells after exposure to B(a)P and pyrene for 48 h compared with 0.1% DMSO- or CQ-treated control groups. (<b>B</b>–<b>D</b>) The relative expression levels of LC3-II, beclin-1, and p62 proteins were normalized to β-actin expression level and compared with DMSO or CQ control (<span class="html-italic">n</span> = 3). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Analysis of ER stress marker protein expression level. (<b>A</b>) Immunoblot analysis of ER stress markers BiP, PERK, and IRE1 in U-87 MG cells after exposure to B(a)P and pyrene for 48 h compared with 0.1% DMSO- or CQ-treated control groups. (<b>B</b>–<b>D</b>) The relative expression levels of BiP, PERK, and IRE1 proteins were normalized to β-actin expression level and compared with DMSO or CQ control (<span class="html-italic">n</span> = 3). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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20 pages, 2371 KiB  
Article
Enhanced Production and Functional Characterization of Recombinant Equine Chorionic Gonadotropin (rec-eCG) in CHO-DG44 Cells
by Munkhzaya Byambaragchaa, Sei Hyen Park, Myung-Hum Park, Myung-Hwa Kang and Kwan-Sik Min
Biomolecules 2025, 15(2), 289; https://doi.org/10.3390/biom15020289 - 14 Feb 2025
Viewed by 319
Abstract
Equine chorionic gonadotropin (eCG) hormone, comprising highly glycosylated α- and β-subunits, elicits responses similar to follicle-stimulating hormone (FSH) and luteinizing hormone (LH) in non-equid species. This study aimed to establish a mass production of recombinant eCG (rec-eCG) using CHO DG44 cells. Single-chain rec-eCG [...] Read more.
Equine chorionic gonadotropin (eCG) hormone, comprising highly glycosylated α- and β-subunits, elicits responses similar to follicle-stimulating hormone (FSH) and luteinizing hormone (LH) in non-equid species. This study aimed to establish a mass production of recombinant eCG (rec-eCG) using CHO DG44 cells. Single-chain rec-eCG β/α was expressed in CHO DG44 cells. FSH- and LH-like activities were evaluated in CHO-K1 and HEK 293 cells expressing the equine LH/CG receptor (eLH/CGR), rat LH/CGR (rLH/CGR), and rFSHR. pERK1/2 activation and β-arrestin 2 recruitment were assessed in PathHunter CHO-K1 cells. The expression from one, among nine isolates, peaked at 364–470 IU/mL on days 9 and 11. The molecular weight of rec-eCG β/α ranged from 40 to 47 kDa, with two distinct bands. PNGase F treatment reduced the molecular weight by 8–10 kDa, indicating N-glycosylation. Rec-eCG β/α demonstrated dose-responsive cAMP activity in cells expressing eLH/CGR, with enhanced potency in rLH/CGR and rFSHR. Phospho-ERK1/2 activation peaked at 5 min before declining rapidly. β-arrestin 2 recruitment was receptor-mediated in cells expressing hFSHR and hLH/CGR. This study provides insights into the mechanisms underlying eCG’s FSH- and LH-like activities. Stable CHO DG44 cells can produce large quantities of rec-eCG. eCG activates pERK1/2 signaling via the PKA/cAMP pathway and facilitates β-arrestin 2 recruitment. Full article
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<p>Schematic diagram of wild-type recombinant equine chorionic gonadotropin (rec-eCG). The diagram illustrates the N- and O-glycosylation sites on eCG. The eCG α-subunit has N-linked oligosaccharides at Asn56 and Asn82, while the β-subunit has one at Asn13. Additionally, the β-subunit includes up to 12 potential O-linked oligosaccharides in the carboxyl-terminal peptide (CTP) region. Circles labeled “N” and “O” indicate N-linked and O-linked glycosylation sites, respectively. A myc-tag epitope was inserted between the first and second amino acid residues of the mature β-subunit.</p>
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<p>Quantitative analysis of rec-eCG production by ELISA following monoclonal cell isolation from CHO-DG44 cells. Nine monoclonal cell lines were isolated and evaluated for secreted rec-eCG levels. Supernatants were collected on days 0, 1, 3, 5, 7, 9, and 11 of culture in 50 mL spinner flasks. The expression levels of rec-eCG from each clone were analyzed using a sandwich enzyme-linked immunosorbent assay (ELISA). Data are presented as the mean ± standard error of the mean (SEM) from at least three independent experiments.</p>
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<p>Western blot analysis of rec-eCG proteins produced by monoclonal cells. Supernatants from nine colonies were collected on days 7 and 9 of cultivation. Rec-eCG samples (20 µL) were resolved by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and transferred to a membrane. Proteins were detected using anti-myc-tag antibodies and horseradish peroxidase-conjugated goat anti-mouse IgG antibodies. Original images can be found in <a href="#app1-biomolecules-15-00289" class="html-app">Figure S1</a>.</p>
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<p>Western blot analysis of rec-eCG proteins over the cultivation period. Supernatants (20 µL) from four selected colonies were subjected to SDS-PAGE. Faint protein bands were first detected on day 3, with signal intensity gradually increasing over time. Two specific bands were consistently observed across all samples. Original images can be found in <a href="#app1-biomolecules-15-00289" class="html-app">Figure S2</a>.</p>
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<p>Deglycosylation analysis of rec-eCG proteins. Conditioned media from cells were treated with peptide-N-glycanase F (PNGase F) to remove N-linked oligosaccharides. Supernatants from cells No. 1 to 4 reacted with PNGase F at 37 °C for 1 h and then analyzed by SDS-PAGE. − indicates samples not treated with PNGase F, while + indicates samples treated with PNGase F. Original images can be found in <a href="#app1-biomolecules-15-00289" class="html-app">Figure S3</a>.</p>
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<p>Effect of rec-eCG on cyclic AMP (cAMP) production in cells expressing equine LH/chorionic gonadotropin receptor (eLH/CGR), rat LH/CGR (rLH/CGR), and rat FSH receptor (rFSHR). Cells transiently transfected with eLH/CGR, rLH/CGR, or rFSHR were seeded in 384-well plates (10,000 cells/well) 24 h post-transfection. Cells were incubated with rec-eCG for 30 min at room temperature. cAMP production was measured using a homogeneous time-resolved fluorescence (HTRF) assay and expressed as Delta F%. The mock-transfected control values were subtracted from each dataset (see Methods). Data are shown as mean ± SEM from triplicate experiments, with curve fitting performed using a one-phase exponential decay model in GraphPad Prism. %. (<b>A</b>) eLH/CGR. (<b>B</b>) rLH/CGR. (<b>C</b>) rFSHR.</p>
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<p>Dose- and time-dependent pERK1/2 activation by rec-eCG in cells expressing eLH/CGR. HEK293 cells transiently transfected with eLH/CGR were stimulated with rec-eCG under the following conditions: (<b>A</b>) Dose-dependent activation using 0, 50, 125, 250, and 500 ng/mL rec-eCG. (<b>B</b>) Time course of pERK1/2 activation with 50 ng/mL rec-eCG. (<b>C</b>) Time course of pERK1/2 activation with 250 ng/mL rec-eCG. Total ERK1/2 levels were assessed to normalize phosphorylated ERK1/2 (pERK1/2). Rec-eCG-stimulated HTRF ratios were normalized and expressed as fold changes relative to unstimulated cells.</p>
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<p>Dose- and time-dependent pERK1/2 activation by rec-eCG in cells expressing rLH/CGR and rFSHR. HEK293 cells transiently transfected with rLH/CGR or rFSHR were stimulated with rec-eCG under the following conditions: (<b>A</b>,<b>B</b>) pERK1/2 activation following treatment with 50 ng/mL rec-eCG. (<b>C</b>,<b>D</b>) pERK1/2 activation following treatment with 250 ng/mL rec-eCG.</p>
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<p>Comparison of pERK1/2 activation among eLH/CGR, rLH/CGR, and rFSHR. The pERK1/2 activation levels in eLH/CGR were compared with those in rLH/CGR and rFSHR at 5 min post-rec-eCG treatment. Data are presented as the mean ± standard error of the mean (SEM) from triplicate experiments. Values marked with asterisks indicate significant differences (* <span class="html-italic">p</span> &lt; 0.05). (<b>A</b>) Activation at 50 ng/mL rec-eCG. (<b>B</b>) Activation at 250 ng/mL rec-eCG.</p>
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<p>Effects of rec-eCG on pERK1/2 activation in eLH/CGR-stimulated cells. HEK293 cells transiently transfected with eLH/CGR were serum-starved for at least 6 h before stimulation. Cellular extracts (20 µg per sample) were analyzed by SDS-PAGE. (<b>A</b>) Dose-dependent pERK1/2 activation using rec-eCG concentrations of 0, 125, 250, 500, 1000, and 2000 ng/mL, to stimulate cells for 7 min. (<b>B</b>) Time course of pERK1/2 activation following treatment with 250 ng/mL rec-eCG. pERK1/2 and total ERK bands were quantified by densitometry, and pERK1/2 levels were normalized to total ERK levels. Equal protein amounts were loaded for each lane. Representative data are shown, and graphs depict the mean ± standard error (SE) from independent experiments. The maximal pERK1/2 response observed at 250 ng/mL and 5 min was designated as 100%. Original images can be found in <a href="#app1-biomolecules-15-00289" class="html-app">Figure S4</a>.</p>
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<p>pERK1/2 activation stimulated by rLH/CGR and rFSHR. HEK293 cells transiently transfected with rLH/CGR or rFSHR were serum-starved for at least 6 h and stimulated with 250 ng/mL of agonist for the indicated times. Whole-cell lysates (20 µg per sample) were analyzed for pERK1/2 and total ERK levels by SDS-PAGE. pERK1/2 levels were normalized to total ERK levels. Representative data are shown, and graphs represent the mean ± SE from independent experiments. The maximal pERK1/2 response observed at 5 min was designated as 100%. (<b>A</b>) rLH/CGR. (<b>B</b>) rFSHR. Original images can be found in <a href="#app1-biomolecules-15-00289" class="html-app">Figure S5</a>.</p>
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<p>Effects of β-arrestin 2 recruitment in PathHunter (DiscoverX) eXpress CHO-K1 cells expressing hFSHR and hLH/CGR. Cells were plated at 0.5 × 10<sup>4</sup> cells per well in 384-well plates and incubated for 24 or 48 h at 37 °C. Cells were stimulated with 2200 ng/mL of rec-eCG under dose- and time-dependent conditions. PathHunter detection reagents were added and incubated for 60 min at room temperature. Luminescence signals were measured using a plate reader. (<b>A</b>,<b>B</b>) β-arrestin 2 recruitment in CHO-K1 cells expressing hFSHR. (<b>C</b>,<b>D</b>) β-arrestin 2 recruitment in CHO-K1 cells expressing hLH/CGR.</p>
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33 pages, 3834 KiB  
Review
Methylglyoxal Formation—Metabolic Routes and Consequences
by Janka Vašková, Gabriela Kováčová, Jakub Pudelský, Drahomír Palenčár and Helena Mičková
Antioxidants 2025, 14(2), 212; https://doi.org/10.3390/antiox14020212 - 13 Feb 2025
Viewed by 640
Abstract
Methylglyoxal (MGO), a by-product of glycolysis, plays a significant role in cellular metabolism, particularly under stress conditions. However, MGO is a potent glycotoxin, and its accumulation has been linked to the development of several pathological conditions due to oxidative stress, including diabetes mellitus [...] Read more.
Methylglyoxal (MGO), a by-product of glycolysis, plays a significant role in cellular metabolism, particularly under stress conditions. However, MGO is a potent glycotoxin, and its accumulation has been linked to the development of several pathological conditions due to oxidative stress, including diabetes mellitus and neurodegenerative diseases. This paper focuses on the biochemical mechanisms by which MGO contributes to oxidative stress, particularly through the formation of advanced glycation end products (AGEs), its interactions with antioxidant systems, and its involvement in chronic diseases like diabetes, neurodegeneration, and cardiovascular disorders. MGO exerts its effects through multiple signaling pathways, including NF-κB, MAPK, and Nrf2, which induce oxidative stress. Additionally, MGO triggers apoptosis primarily via intrinsic and extrinsic pathways, while endoplasmic reticulum (ER) stress is mediated through PERK-eIF2α and IRE1-JNK signaling. Moreover, the activation of inflammatory pathways, particularly through RAGE and NF-κB, plays a crucial role in the pathogenesis of these conditions. This study points out the connection between oxidative and carbonyl stress due to increased MGO formation, and it should be an incentive to search for a marker that could have prognostic significance or could be a targeted therapeutic intervention in various diseases. Full article
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<p>A-dicarbonyl compounds. The formation of methylglyoxal is part of the metabolic processes in humans and mammals in general. The occurrence of the other two dicarbonyl compounds in the body is determined by the intake from dietary sources, where they are often not only a product of the bacterial fermentation of saccharides but also an indicator of the oxidation or bacterial contamination of food.</p>
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<p>The pathway for the formation of methylglyoxal (MGO) from triose phosphates in anaerobic glycolysis.</p>
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<p>The biochemical processes involved in the metabolism of methylglyoxal (MGO). In the glutathione pathway, the hemithioacetal formed non-enzymatically by glyoxalase 1 (GLO1) is converted into S-D-lactoylglutathione (a thioester). This compound is then processed by glyoxalase 2 (GLO2), which releases glutathione (GSH) and forms D-lactate, which can be further converted by lactate dehydrogenase (LDH). In addition, the non-glutathione pathways also convert methylglyoxal (MGO) through enzymes such as glyoxalase 3 (GLO3). By an oxidative pathway via 2-oxoaldehyde dehydrogenase (2-ODH) or aldehyde dehydrogenase (ALDH), conversion by reduction is also possible via aldo-keto reductases (AKRs), aldose reductase (AR), and the catalytic activity of lactaldehyde dehydrogenase (LacDH) and 1,2-propanediol oxidoreductase (FuCO).</p>
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<p>The formation and detoxification of methylglyoxal (MGO) from acetone and aminoacetone.</p>
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<p>Methylglyoxal in reaction with arginine residues forms methylglyoxal-hydroimidazolones (MGO-H1, MGO-H2, MGO-H3, or N<sub>ɛ</sub>-(5-hydro-5-methyl-4-imidazolon-2-yl)-l-ornithine; 2-amino-5-(2-amino-5-hydro-5-methyl-4-imidazolon-1-yl) pentanoic acid; 2-amino-5-(2-amino-4-hydro-4-methyl-5-imidazolon-1-yl) pentanoic acid), argpyrimidine (N<sub>δ</sub>-(5-hydroxy-4,6-dimethylpyrimidine-2-yl)-l-ornighine), and THP (<span class="html-italic">N</span><sub>δ</sub>-(4-carboxy-4,6-dimethyl-5,6-dihydroxy-1,4,5,6-tetrahydropyrimidine-2-yl)-L-ornithine). MGO-H3 is further able to form CEA (<span class="html-italic">N</span><sup>ω</sup>-carboxyethyl-arginine) by hydrolysis. The reaction of MGO with lysine residues results in CEL (Nɛ-(carboxymethyl)-l-lysine) and MOLD (methylglyoxal lysine dimer) formation. MODIC (methylglyoxal-derived imidazolium crosslink derived from methylglyoxal and lysine-arginine) arises in the reaction of arginine and lysine residues with MGO. MGO with cysteine forms a reversible hemithioacetal (CEC, carboxyethyl cysteine) and a stable mercaptomethylimidazole adduct (MICA).</p>
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<p>The impact on the tissues, organs, and systems through the activation of signaling pathways and the formation of advanced lipoxidation and glycation end products (ALEs and AGEs). This occurs due to the mutual potentiation of oxidative and carbonyl stress, resulting in the generation of reactive oxygen species (ROS) and reactive carbonyl species (RCS).</p>
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16 pages, 2344 KiB  
Article
In Vitro Inhibition of Endoplasmic Reticulum Stress: A Promising Therapeutic Strategy for Patients with Crohn’s Disease
by Bruno Lima Rodrigues, Lívia Bitencourt Pascoal, Lívia Moreira Genaro, Leonardo Saint Clair Assad Warrak, Beatriz Alves Guerra Rodrigues, Andressa Coope, Michel Gardere Camargo, Priscilla de Sene Portel Oliveira, Maria de Lourdes Setsuko Ayrizono, Lício Augusto Velloso and Raquel Franco Leal
Cells 2025, 14(4), 270; https://doi.org/10.3390/cells14040270 - 13 Feb 2025
Viewed by 466
Abstract
Background: Crohn’s disease (CD) is an inflammatory bowel disease marked by an abnormal immune response and excessive pro-inflammatory cytokines, leading to impaired protein processing and endoplasmic reticulum (ER) stress. This stress, caused by the accumulation of misfolded proteins, triggers the unfolded protein response [...] Read more.
Background: Crohn’s disease (CD) is an inflammatory bowel disease marked by an abnormal immune response and excessive pro-inflammatory cytokines, leading to impaired protein processing and endoplasmic reticulum (ER) stress. This stress, caused by the accumulation of misfolded proteins, triggers the unfolded protein response (UPR) through IRE1/Xbp-1, PERK/eIF2α, and ATF6 pathways, which are linked to intestinal inflammation. This study aimed to investigate ER stress in CD patients’ intestinal mucosa and evaluate phenylbutyrate (PBA) as an ER stress inhibitor. Methods: Colon biopsies from CD patients and controls were cultured under five conditions, including 4-PBA treatments. Real-time PCR, cytokine level, and immunohistochemistry were performed. Results: Immunohistochemistry revealed that ER stress was activated in CD patients’ intestinal epithelial cells and lamina propria cells. PERK/eIF2α, but not IRE1/Xbp-1 or ATF6, was upregulated in CD patients compared to controls. UPR-related genes (STC2, CALR, HSPA5, HSP90B1) were also elevated in CD patients. PBA treatment significantly reduced ER stress and UPR markers while decreasing apoptotic markers like DDIT3. Pro-inflammatory cytokines, such as IL-1β, IL-6, IL-17, TNF- α, and sCD40L, were significantly reduced after PBA treatment. Conclusion: ER stress and UPR pathways are activated in CD colonic mucosa, and PBA reduces these markers, suggesting potential therapeutic benefits for CD-related inflammation. Full article
(This article belongs to the Special Issue Endoplasmic Reticulum Stress Signaling Pathway: From Bench to Bedside)
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<p><b>ER stress signaling pathways: IRE1, PERK, and ATF6.</b> IRE1, PERK, and ATF6 remain inactive and bound to the chaperone GRP78 under normal conditions. Under endoplasmic reticulum (ER) stress, these proteins dissociate and trigger the UPR response: IRE1 undergoes dimerization and autophosphorylation, activating the transcription factor XBP1; PERK phosphorylates eIF2α, promoting protein folding and apoptosis via DDIT3; and ATF6 is cleaved, activating genes involved in protein folding and ER-associated degradation (ERAD).</p>
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<p><b>Activation of ER stress pathways and chaperone modulation in the colonic mucosa of Crohn’s disease patients.</b> Immunohistochemical analysis of p-eIF2α (<b>A</b>), sXBP1 (<b>B</b>), ATF6 (<b>C</b>), and GRP94 (<b>D</b>) was performed on paraffin-embedded slides from the intestinal mucosa of both Crohn’s disease and control groups. The white arrows indicate positive epithelial cells, and the black arrows signalize positive cells from the lamina propria. Scale bar: 50 μm.</p>
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<p><b>ER stress activation in the intestinal mucosa of Crohn’s disease patients and PBA inhibition effect in vitro.</b> (<b>A</b>) The EIF2AK3 (PERK pathway) transcriptional level was significantly higher in the MED CD condition than in the MED CTR condition. After treatment with PBA, the EIF2AK3 transcriptional level significantly decreased comparing MED CD to the CD PBA 5 mM condition. (<b>B</b>) ERN1 (IRE1 pathway) and (<b>C</b>) ATF6 transcriptional levels were similar when comparing the MED CD and MED CTR conditions. Moreover, no differences were observed in the ERN1 transcriptional level after PBA treatment, and neither in ATF6. MED = medium, VEH = vehicle, IFX = infliximab, PBA = 4-phenylbutyrate acid, CD = Crohn’s disease, CTR = control. * <span class="html-italic">p</span> = 0.005 vs. MED CTR, ** <span class="html-italic">p</span> &lt; 0.05 vs. MED CD.</p>
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<p><b>Activation of chaperones and UPR-related genes and the PBA treatment.</b> The transcriptional levels of DDIT3 (<b>A</b>), STC2 (<b>B</b>), DNAJC3 (<b>C</b>), CALR (<b>D</b>), HSPA5 (<b>E</b>), and HSP90B1 (<b>F</b>) were significantly increased in the MED CD condition compared to the MED CTR condition. DDIT3, STC2, DNAJC3, CALR, HSPA5, and HSP90B1 transcriptional levels significantly decreased compared to the MED CD condition after PBA treatment. MED = medium, VEH = vehicle, IFX = infliximab, PBA = 4-phenylbutyrate acid, CD = Crohn’s disease, CTR = control. * <span class="html-italic">p</span> &lt; 0.005 vs. MED CTR, ** <span class="html-italic">p</span> &lt; 0.05 vs. MED CD.</p>
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<p><b>Transcriptional and protein expression of pro-inflammatory cytokines in Crohn’s disease and the effect of PBA as an immunomodulator</b>. (<b>A</b>) The IL6 transcriptional level was significantly increased in the MED CD condition compared to the MED CTR condition; both concentrations of PBA significantly decreased the IL6 level compared to the MED CD condition. (<b>B</b>) The TNFα transcriptional level was significantly increased in the MED CD condition compared to the MED CTR condition; both concentrations of PBA and the treatment with IFX significantly decreased the TNFα level compared to the MED CD condition. (<b>C</b>–<b>G</b>) There was a significant increase in IL-1β (<b>C</b>), IL-6 (<b>D</b>), IL-17 (<b>E</b>), TNF-α (<b>F</b>), and sCD40L (<b>G</b>) protein levels in the MED CD condition compared to the MED CTR condition; in addition, a significant decrease in these proinflammatory cytokines in the PBA treatment conditions was observed for almost all cytokines compared to the MED CD condition, except for sCD40L. MED = medium, VEH = vehicle, IFX = infliximab, PBA = 4-phenylbutyrate acid, CD = Crohn’s disease, CTR = control. * <span class="html-italic">p</span> &lt; 0.05 vs. MED CTR; ** <span class="html-italic">p</span> &lt; 0.05 vs. MED CD, # <span class="html-italic">p</span> &lt; 0.05 vs. VEH CTR.</p>
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33 pages, 7980 KiB  
Review
PERK-Olating Through Cancer: A Brew of Cellular Decisions
by Laurent Mazzolini and Christian Touriol
Biomolecules 2025, 15(2), 248; https://doi.org/10.3390/biom15020248 - 8 Feb 2025
Viewed by 371
Abstract
The type I protein kinase PERK is an endoplasmic reticulum (ER) transmembrane protein that plays a multifaceted role in cancer development and progression, influencing tumor growth, metastasis, and cellular stress responses. The activation of PERK represents one of the three signaling pathways induced [...] Read more.
The type I protein kinase PERK is an endoplasmic reticulum (ER) transmembrane protein that plays a multifaceted role in cancer development and progression, influencing tumor growth, metastasis, and cellular stress responses. The activation of PERK represents one of the three signaling pathways induced during the unfolded protein response (UPR), which is triggered, in particular, in tumor cells that constitutively experience various intracellular and extracellular stresses that impair protein folding within the ER. PERK activation can lead to both pro-survival and proapoptotic outcomes, depending on the cellular context and the extent of ER stress. It helps the reprogramming of the gene expression in cancer cells, thereby ensuring survival in the face of oncogenic stress, such as replicative stress and DNA damage, and also microenvironmental challenges, including hypoxia, angiogenesis, and metastasis. Consequently, PERK contributes to tumor initiation, transformation, adaptation to the microenvironment, and chemoresistance. However, sustained PERK activation in cells can also impair cell proliferation and promote apoptotic death by various interconnected processes, including mitochondrial dysfunction, translational inhibition, the accumulation of various cellular stresses, and the specific induction of multifunctional proapoptotic factors, such as CHOP. The dual role of PERK in promoting both tumor progression and suppression makes it a complex target for therapeutic interventions. A comprehensive understanding of the intricacies of PERK pathway activation and their impact is essential for the development of effective therapeutic strategies, particularly in diseases like cancer, where the ER stress response is deregulated in most, if not all, of the solid and liquid tumors. This article provides an overview of the knowledge acquired from the study of animal models of cancer and tumor cell lines cultured in vitro on PERK’s intracellular functions and their impact on cancer cells and their microenvironment, thus highlighting potential new therapeutic avenues that could target this protein. Full article
(This article belongs to the Special Issue Feature Papers in Enzymology—2nd Edition)
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<p>The UPR signaling pathway. The unfolded protein response (UPR) involves three main branches, each initiated by a distinct ER transmembrane sensor: PERK, IRE1, and ATF6. Upon ER stress, these sensors dissociate from the ER-resident chaperone BiP/GRP78, leading to their activation. ATF6, once released from BiP, translocates to the Golgi apparatus where it is cleaved twice, releasing its cytosolic domain that acts as a transcription factor to induce the expression of ER chaperones and ERAD components. IRE1 is a bifunctional protein featuring both a kinase and an RNase domain on its cytosolic side. Once activated, IRE1’s RNase domain performs two critical functions: (i) First, it catalyzes the unconventional splicing of the XBP1 transcript into a matured mRNA form, which is then translated in the active isoform of XBP1: XBP1s. The XBP1s protein then translocates to the nucleus, where it upregulates various UPR target genes, including those encoding ER chaperones and components of the ER-associated protein degradation (ERAD) machinery. (ii) Second, IRE1s RNase domain also mediates the selective degradation of RNAs localized to the ER membrane, resulting in a reduction of protein import into the ER lumen, a process called RIDD (Regulated IRE1-Dependent Decay). IRE1 also recruits TRAF2, forming a complex that subsequently activates the kinase ASK1, which enhances the JNK pathway, a key element in stress-induced apoptosis. The third UPR mediator, <span class="html-italic">PERK</span>, once activated, phosphorylates three main substrates, each playing a crucial role in maintaining cellular homeostasis: the proteins eIF2α (A), NRF2 (B) and the lipid molecule diacylglycerol (DAG; C). The precise role of each of these PERK substrates is outlined in <a href="#biomolecules-15-00248-f002" class="html-fig">Figure 2</a>.</p>
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<p>eIF2α, NRF2, and DAG: functions and responses to phosphorylation by PERK. (<b>A</b>) The phosphorylation of eIF2α (eukaryotic initiation factor 2α) by PERK plays a critical role in regulating protein synthesis in response to unfolded protein accumulation. This phosphorylation inhibits the conversion of inactive GDP-bound eIF2 into its active, GTP-bound, form by impairing the action of the guanine nucleotide exchange factor eIF2B. Consequently, the formation of the ternary complex and assembly of the 43S ribosomal preinitiation complex is inhibited, resulting in a marked decrease in the overall rate of translation initiation. While inhibiting general cap-dependent translation, eIF2α phosphorylation also selectively promotes the translation of stress-response mRNAs harboring specific regulatory elements, like internal ribosome entry site (IRESs) or upstream open reading frames (uORFs), in their 5′ UTR. One central stress-response mRNA codes for the transcription factor ATF4, which induces the expression of numerous target genes involved in amino acid metabolism, redox homeostasis, and protein folding. Another important ATF4 target gene code for the protein GADD34, which acts as a negative feedback regulator of the stress response by recruiting protein phosphatase 1 (PP1) to eIF2α, thereby promoting its dephosphorylation and the resumption of translational initiation once the stress has been resolved. It is important to note that the phosphorylation of eIF2α can also be performed by three additional eIF2α kinases, PKR, GCN2, or HRI, in response to other stressing conditions. (<b>B</b>) Under normal conditions, NRF2 activity is tightly regulated through its interaction with KEAP1, which acts as an adapter for the ubiquitin–ligase complex, leading to NRF2 proteasomal degradation. When activated by ER stress, PERK phosphorylates NRF2, which disrupts its interaction with KEAP1. This leads to the stabilization and nuclear translocation of NRF2, where it can bind to antioxidant response elements (AREs) and activate the transcription of its target genes. This PERK-mediated activation of NRF2 represents an important mechanism by which cells adapt to ER stress and maintain redox homeostasis. (<b>C</b>) PERK also possesses an intrinsic lipid kinase activity. PERK can phosphorylate DAG to generate phosphatidic acid (PA), a key lipid-signaling molecule. This process is regulated by the p85α subunit of PI3K (phosphatidylinositol 3-kinase), which enhances PERK’s lipid kinase activity. The production of PA has several downstream effects, including the activation of the AKT, mTOR, and MAP kinase pathways, further regulating cellular proliferation and metabolic adaptation in response to ER stress.</p>
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<p>PERK-mediated activation of cell death processes. PERK activation leads to the phosphorylation of eIF2α, which selectively promotes the translation of ATF4. Prolonged ATF4 production can induce the expression of the proapoptotic transcription factor CHOP (C/EBP homologous protein), contributing to apoptotic induction by activating the expression of DR5 (death receptor 5), ERO1α (ER oxidase 1alpha), and the BH3-only proapoptotic proteins BIM, PUMA, and NOXA while inhibiting the expression of the antiapoptotic proteins BCL-2, BCL-XL, and MCL1. DR5 synthesis and activation leads to the maturation of pro-caspase 8 into active caspase-8, which initiates a caspase cascade, leading to the activation of executioners caspase-3 and caspase-7. ERO1α induces, in particular, the release of calcium ions from the ER and their import into the mitochondria, contributing to the mitochondria-mediated induction of apoptosis though the release of cytochrome C in the cytosol, allowing apoptosome assembly and the downstream activation of caspases. The antiapoptotic protein XIAP (X-linked inhibitor of apoptosis protein) protects cells against death by inhibiting both the initiator caspase-9 and the executioners caspase-3 and caspase-7. ATF4 also favors cell death by inducing the expression of ubiquitin–ligases that target XIAP for proteasome-mediated degradation, thereby restoring caspase activation.</p>
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<p>PERK pathway and the hallmarks of cancer. Tumor cells develop various characteristics that facilitate disease progression and have been defined as the “hallmarks of cancer” [<a href="#B95-biomolecules-15-00248" class="html-bibr">95</a>]. As pointed out in this review, PERK pathway activation plays a significant regulatory role on many of these hallmarks, including immune response, proliferation, resistance to hypoxia and oxidative stress, the promotion of cell invasion, metastasis, angiogenesis, the regulation of protective or cytotoxic autophagy, the regulation of apoptotic cell death, and resistance to various therapies. Inhibiting or, inversely, activating PERK depending on the tumoral cell context could provide new therapeutic avenues of interest in the treatment of a variety of cancers. The identified molecular or cellular mediators of PERK effects are indicated for each hallmark (see corresponding section of the main text for additional information).</p>
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12 pages, 1714 KiB  
Brief Report
Beauty Is Not Always a Perk: The Role of Attractiveness and Social Interest in Trust Decisions
by Junchen Shang and Yizhuo Zhang
Behav. Sci. 2025, 15(2), 175; https://doi.org/10.3390/bs15020175 - 7 Feb 2025
Viewed by 539
Abstract
This study examined the impact of males’ facial and vocal attractiveness, as well as social interest in females’ decision-making in a trust game. The results showed that trustees with attractive faces or expressing positive social interest were more likely to receive initial investments. [...] Read more.
This study examined the impact of males’ facial and vocal attractiveness, as well as social interest in females’ decision-making in a trust game. The results showed that trustees with attractive faces or expressing positive social interest were more likely to receive initial investments. Trustees with attractive voices also received more initial investments than unattractive ones in most conditions, except when they had attractive faces and positive interest. Moreover, participants reinvest in trustees with attractive faces or voices, even if they withheld repayment. However, trustees with positive interest would receive more reinvestment only when they reciprocated. In addition, trusters expressing positive social interest were expected to invest and earn repayment at higher rates. Nonetheless, trusters with attractive faces (or voices) were only expected to invest at higher rates when they had attractive voices (or faces) and negative interest. These findings suggest that beauty premium is modulated by participants’ roles, such that the effect of beauty would be stronger when participants encounter trustees rather than trusters. Positive social interest is a perk in most conditions, except when trustees withheld repayment. Full article
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<p>Schematic representation of the trust game.</p>
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<p>(<b>A</b>) Mean initial investment rates as a function of facial attractiveness, vocal attractiveness, and social interest in TG1. (<b>B</b>) Mean expected investment rates as a function of facial attractiveness, vocal attractiveness, and social interest in TG2. The error bars represent standard errors. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001.</p>
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13 pages, 2121 KiB  
Article
Pigment Epithelium-Derived Factor Inhibits Cell Motility and p-ERK1/2 Signaling in Intrahepatic Cholangiocarcinoma Cell Lines
by Veronica Porreca, Eleonora Corbella, Biagio Palmisano, Marco Peres, Pietro Angelone, Cristina Barbagallo, Michele Stella, Giuseppina Mignogna, Gianluca Mennini, Fabio Melandro, Massimo Rossi, Marco Ragusa, Alessandro Corsi, Mara Riminucci, Bruno Maras and Carmine Mancone
Biology 2025, 14(2), 155; https://doi.org/10.3390/biology14020155 - 3 Feb 2025
Viewed by 668
Abstract
Pigment epithelium-derived factor (PEDF) is a multifunctional soluble glycoprotein, primarily known for its potent anti-angiogenic properties. In recent years, its ability to counteract cell proliferation and motility has generated interest in PEDF as a potential tumor suppressor. In the intrahepatic Cholangiocarcinoma (iCCA), PEDF, [...] Read more.
Pigment epithelium-derived factor (PEDF) is a multifunctional soluble glycoprotein, primarily known for its potent anti-angiogenic properties. In recent years, its ability to counteract cell proliferation and motility has generated interest in PEDF as a potential tumor suppressor. In the intrahepatic Cholangiocarcinoma (iCCA), PEDF, Thrombospondin 1 (THBS1), and Thrombospondin 2 (THBS2) are expressed and released into the tumor microenvironment (TME), where they promote lymphangiogenesis at the expense of the neoangiogenic program, aiding the dissemination of cancer cells via lymphatic vessels. Recently, we demonstrated that THBS1 and THBS2 directly affect iCCA cells, exacerbating their malignant behavior, while the direct role of PEDF remains to be elucidated. In this study, through a cell-based assay and molecular analysis, we investigate the direct function of PEDF on two well-established iCCA cell lines. Our results show that PEDF affects cancer cell motility in a paracrine manner, reducing their migratory and invasive capabilities. Notably, our data suggest that the PEDF-induced inhibition of motility in iCCA cells occurs through the MAPK/ERK signaling pathway, as indicated by the reduced phosphorylation of ERK1/2. Overall, this study provides the first evidence of PEDF acting as a tumor suppressor in iCCA. Full article
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<p>CCLP1 and HuCCT-1 cell lines do not express PEDF. (<b>a</b>) PEDF mRNA expression in iCCA cell lines, (CCLP1 and HuCCT-1) was analyzed using Real-Time PCR. Commercial human ovary RNA was used as a positive control. The bar graph illustrates the mean 2<sup>−ΔCt</sup> of PEDF mRNA normalized with respect to the expression of GAPDH. (<b>b</b>) Western blot analysis for PEDF in total tissue extracts from non-cancerous (NCT) and cancerous tissues (iCCA) of a representative iCCA patient as well as total cell extracts from CCLP1 and HuCCT-1 cell lines. For each gel lane, 10 μg of protein were loaded. A total of 10 ng of rhPEDF was used as a positive control. Ponceau S staining of the nitrocellulose membrane is shown to confirm equal protein loading.</p>
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<p>In vitro cell growth is not influenced by rhPEDF treatment. The time course of cell growth for CCLP1 (<b>a</b>) and HuCCT-1 (<b>c</b>) cell lines was assessed by MTT cell viability assay at the indicated time points in the presence of 1000 ng/mL of rhPEDF; CTR represents untreated cells. Western blot analysis for PCNA and PARP-1 on whole cell extracts of CCLP1 (<b>b</b>) and HuCCT-1 (<b>d</b>) cells, cultured in the presence of 1000 ng/mL of rhPEDF for 24 h, was performed. Arrows indicate the expected molecular weights for the PARP-1 full-length “F” and cleaved “C” forms; actin was used as a loading control.</p>
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<p>rhPEDF inhibits the cellular adhesive properties of the epithelial HuCCT-1 cell line. Adhesion of CCLP1 and HuCCT-1 cells in response to treatment with (rhPEDF) or without (CTR) 1000 ng/mL of rhPEDF for 45 min. The left panels show representative images (4× magnification) of CCLP1 and HuCCT-1 adherent cells. The bar graphs represent the mean value ± SD of cell counts per four optical fields of three independent experiments ** <span class="html-italic">p</span> &lt; 0.01 (<span class="html-italic">t</span>-test).</p>
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<p>rhPEDF treatment restrains cell migration and invasion in iCCA cell lines. Transwell migration (<b>a</b>) and invasion (<b>b</b>) assay of CCLP1 and HuCCT-1 cells in response to treatment with (rhPEDF) or without (CTR) 1000 ng/mL of rhPEDF for 48 h. The left panels show representative images (20× magnification) of each experimental group. The bar graphs represent the mean value ± SD from independent experiments performed in triplicate; ** <span class="html-italic">p</span> &lt; 0.01 (<span class="html-italic">t</span>-test).</p>
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<p>rhPEDF downregulates ERK1/2 phosphorylation. Western blot analysis for the indicated proteins on whole cell extracts of CCLP1 (<b>a</b>) and HuCCT-1 (<b>b</b>) cells, cultured in response to treatment with (rhPEDF) or without (CTR) 1000 ng/mL of rhPEDF for 24 h; GAPDH was used as a loading control. Quantification from three independent immunoblots by densitometry analysis is shown (for details see <a href="#sec2-biology-14-00155" class="html-sec">Section 2</a>); ** <span class="html-italic">p</span> &lt; 0.01 (<span class="html-italic">t</span>-test).</p>
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26 pages, 9400 KiB  
Article
Scour near Offshore Monopiles, Jacket-Type and Caisson-Type Structures
by Leo C. van Rijn, Nathanael Geleynse, Luitze Perk and Doke Schoonhoven
J. Mar. Sci. Eng. 2025, 13(2), 266; https://doi.org/10.3390/jmse13020266 - 30 Jan 2025
Viewed by 392
Abstract
Scour near various offshore structures (monopile, caisson foundation and jacket structure) was studied by performing laboratory flume tests and numerical solutions with a semi-empirical model (SEDSCOUR) and a sophisticated 2DV model (SUSTIM2DV). The laboratory test results show that the maximum free scour depth [...] Read more.
Scour near various offshore structures (monopile, caisson foundation and jacket structure) was studied by performing laboratory flume tests and numerical solutions with a semi-empirical model (SEDSCOUR) and a sophisticated 2DV model (SUSTIM2DV). The laboratory test results show that the maximum free scour depth around a monopile without bed protection is slightly higher than the pile diameter. The maximum scour consisting of pile scour and global scour around an open jacket structure standing on four piles is much lower than the scour near the other structures (monopile and caisson). The maximum scour depth along a circular caisson foundation is found to be related to the base diameter of the structure. The main cause of the scour near these types of structures is the increase in the velocity along the flanks of the structure. Six cases have been used for validation: two laboratory cases (A and B) and four field cases (C, D, E and F). The measured scour values of the new physical model tests with the monopile and the open jacket structure presented in this paper are in reasonably good agreement with other laboratory and field scour data from the literature. The semi-empirical SEDSCOUR model proposed in this paper can be used for the reliable prediction of free scour and global scour near monopiles and jacket structures in a sandy bed (even with a small percentage of mud, up to 30%). The maximum scour depth along a large-scale caisson structure is more difficult to predict because the scour depth depends on the precise geometry and dimensions of the structure and the prevailing flow and sediment conditions. A detailed 2DV model with a fine horizontal grid (2 m) along a stream tube following the contour of the caisson is explored for scour predictions. The 2DV model simulates the flow and sediment transport at 50 to 100 points over the depth along the stream tube and can be run on a time-scale of 1 year. Full article
(This article belongs to the Section Coastal Engineering)
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<p>Flow velocity field around the monopile (<span class="html-italic">D<sub>pile</sub></span> = 0.11 m).</p>
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<p>Flow velocity field around the caisson structure (<span class="html-italic">D<sub>caisson</sub></span> = 0.32 m) with a monopile on top (<span class="html-italic">D<sub>pile</sub></span> = 0.11 m).</p>
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<p>Flow velocity field around the jacket structure (<span class="html-italic">D<sub>leg</sub></span> = 0.02 m; distance between legs = 0.365 m).</p>
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<p>Flow lines for the 3 main experiments, obtained from tracking the position of near-surface floats (flow from top to bottom).</p>
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<p>Dimensionless depth-averaged velocity as a function of dimensionless distance along the structure.</p>
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<p>Scour near the pile’s foundation structures.</p>
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<p>Scour near the monopile.</p>
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<p>Scour near the caisson with a monopile (structure tipped over after 6.5 h, signifying end of test).</p>
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<p>Scour near the legs of the jacket structure (2 cross-sections, see insets; green line is the pile’s centre).</p>
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<p>Plan view and cross-section of a scour pit due to tidal flow.</p>
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<p>Scour downstream of a hard structure (obstacle) on the seabed.</p>
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<p>Case A: scour depth as a function of current velocity; tests by Sheppard and Miller [<a href="#B28-jmse-13-00266" class="html-bibr">28</a>].</p>
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<p>Case B; measured and computed scour depths as a function of time; test by Sheppard (2003), [<a href="#B33-jmse-13-00266" class="html-bibr">33</a>].</p>
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<p>Case C: measured and computed free scour depths as function of time; Q7 windpark (NL).</p>
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<p>Case D: measured and computed free scour depths as a function of time; Luchterduinen wind park (NL).</p>
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<p>Case E: computed scour depth as a function of time; Jacket structure L9, North Sea (NL).</p>
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<p>Case F: depth-averaged flow field based on the 2DH mode (<b>left</b>) and 3D mode (<b>right</b>); depth-averaged approach velocity <span class="html-italic">u<sub>o</sub></span> = 0.42 m/s.</p>
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<p>Case F: flow field in the near-bottom layer of the 3D model run; <span class="html-italic">u<sub>o</sub></span> = 0.42 m/s.</p>
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<p><b>Left</b>: depth-averaged flow velocity of the 2DH and 3D model runs along the structure (see inset sketch); <b>Right</b>: flow velocity of 2DH along the structure and 3D in the bottom layer along the structure (<span class="html-italic">u<sub>o</sub></span> = 0.42 m/s for depth-averaged flow; <span class="html-italic">u<sub>o</sub></span> = 0.15 m/s near-bottom for 3D model).</p>
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<p>Case F: flow and scour around caisson (diameter = 40 m; height = 10 m; seabed = 0.4 mm sand).</p>
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<p>Case F: flow velocity and scour along the stream tube; maximum velocity= 0.7 m/s; <span class="html-italic">d</span><sub>50</sub> = 0.4 mm.</p>
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<p>Case F: flow velocity and scour along the stream tube; maximum upstream velocity = 0.7 m/s; <span class="html-italic">d</span><sub>50</sub> = 0.25 mm.</p>
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11 pages, 892 KiB  
Article
A 6-Year Single Center Experience in Neonatal Aortic Arch Surgery with Whole-Body Perfusion: Showing the Perks by Strict Propensity Score Matching
by Isabelle Doll, Rodrigo Sandoval Boburg, Rafal Berger, Christian Jörg Rustenbach, Walter Jost, Jörg Michel, Harry Magunia and Christian Schlensak
J. Clin. Med. 2025, 14(3), 843; https://doi.org/10.3390/jcm14030843 - 27 Jan 2025
Viewed by 355
Abstract
Objectives: Perfusion strategy is crucial for the outcome of neonatal aortic arch surgery. This study investigates Whole-Body Perfusion to potentially improve postoperative outcomes for neonates, addressing a significant gap in current research. Methods: Retrospective analysis was conducted for neonates receiving aortic [...] Read more.
Objectives: Perfusion strategy is crucial for the outcome of neonatal aortic arch surgery. This study investigates Whole-Body Perfusion to potentially improve postoperative outcomes for neonates, addressing a significant gap in current research. Methods: Retrospective analysis was conducted for neonates receiving aortic arch reconstruction in our institution: 33 patients were treated with Antegrade Cerebral Perfusion (ACP, 2014–2017) and 61 patients with Whole-Body Perfusion (WBP, 2017–2022). After strict Propensity Score Matching, 20 patients were analyzed in each group. WBP consists of ACP and Lower Body Perfusion (LBP), achieved through a femoral arterial sheath. Results: Patients with WBP had a shorter time on Cardiopulmonary Bypass (86.65 ± 25.47 vs. 172.95 ± 60.12 min) and Cross-Clamp time (46.70 ± 18.48 vs. 91.30 ± 40.10 min) (p ≤ 0.001). Lactate at the time of reperfusion and after 24 h was lower in the WBP group (1.73 ± 0.63 vs. 4.29 ± 1.61, p < 0.001; 1.45 ± 0.57 vs. 2.09 ± 0.96 mmol/L, p = 0.026). Patients with WBP needed significantly fewer intraoperative transfusions of Red Blood Cells, Fresh Frozen Plasma and Platelets (p ≤ 0.001). WBP patients had a shorter time on ventilator (5.15 ± 4.05 vs. 10.00 ± 8.72 days, p = 0.01) and a higher urine output after 24 h (200.85 ± 100.87 vs. 118.10 ± 82.33 mL, p = 0.002). Conclusions: Patients treated with WBP received significantly fewer intraoperative transfusions and had a shorter time on extracorporeal circulation and ventilator. Furthermore, there was a trend for reduced multiorgan dysfunction. Full article
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<p>Patient selection process. ACP: Antegrade Cerebral Perfusion; WBP: Whole-Body Perfusion.</p>
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<p>Perfusion strategy. Whole-Body Perfusion (WBP) is a combination of Antegrade Cerebral Perfusion (ACP) and Lower Body Perfusion (LBP). For ACP, the innominate artery was cannulated. LBP was achieved through an arterial sheath in the femoral artery, which was connected to an arterial line of the heart–lung machine. Patients were either treated with WBP or ACP only. Copyright by Perfusion, Sage Journals. Open Access Creative Commons Attribution-NonCommercial 4.0 License. Picture adapted from [<a href="#B7-jcm-14-00843" class="html-bibr">7</a>].</p>
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21 pages, 4439 KiB  
Article
MCC950 Reduces the Anxiodepressive-like Behaviors and Memory Deficits Related to Paclitaxel-Induced Peripheral Neuropathy in Mice
by Ignacio Martínez-Martel, Sylmara Esther Negrini-Ferrari and Olga Pol
Antioxidants 2025, 14(2), 143; https://doi.org/10.3390/antiox14020143 - 25 Jan 2025
Viewed by 238
Abstract
Chemotherapy-induced peripheral neuropathy and the accompanying affective disorders are serious side effects, and their resolution is not guaranteed. Oxidative stress and elevated levels of Nod-like receptor protein 3 (NLRP3) have been detected in the peripheral and central nervous systems of animals with neuropathic [...] Read more.
Chemotherapy-induced peripheral neuropathy and the accompanying affective disorders are serious side effects, and their resolution is not guaranteed. Oxidative stress and elevated levels of Nod-like receptor protein 3 (NLRP3) have been detected in the peripheral and central nervous systems of animals with neuropathic pain provoked by several antineoplastic drugs, such as paclitaxel (PTX). Several studies have further indicated that NLRP3 inflammasome inhibition could be an approach for treating chronic pain, but its impact on the anxiodepressive-like behaviors and memory deficits related to PTX-provoked neuropathy has not yet been investigated. MCC950 is a potent and specific inhibitor of the NLRP3 pathway that acts through inhibiting NLRP3 activation and inflammasome formation. We hypothesized that the administration of MCC950 could alleviate the affective and cognitive disorders accompanying PTX-provoked neuropathy. Using male C57BL/6 mice, we assessed the effects of MCC950 on the mechanical and thermal allodynia, anxiodepressive-like behavior, and memory deficits incited by this taxane. The results indicated that the intraperitoneal administration of 10 mg/kg of MCC950 twice daily for three consecutive days fully reversed the PTX-induced mechanical and thermal allodynia. This treatment also completely attenuated the anxiolytic (p < 0.004) and depressive-like behaviors (p < 0.022) and memory deficits (novel object recognition test; p < 0.0018) incited by PTX. These actions were mainly achieved through blocking NLRP3 inflammasome activation in the sciatic nerve, amygdala, and hippocampus, and oxidative stress in the amygdala and hippocampus. MCC950 also normalized the p-ERK 1/2 overexpression in the sciatic nerve and apoptotic responses in the sciatic nerve and the amygdala. This study suggests that MCC950 might be a promising treatment for PTX-induced mental illnesses and neuropathy. Full article
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<p>Schematic representation of the experimental procedures. VEH: vehicle; PTX: paclitaxel; VF: von Frey filament test; CP: cold plate test; EPM: elevated plus maze; TST: tail suspension test; FST: forced swimming test; NOR: new object recognition test.</p>
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<p>Reversion of the mechanical allodynia triggered by PTX after administration of 10 mg/kg of MCC950 (given intraperitoneally, twice a day on three consecutive days). The data are shown as the von Frey filaments strength (g) exerted on the left (<b>A</b>) and right (<b>B</b>) paws. In all graphs, the symbols indicate significant differences compared to VEH-VEH or VEH-MCC950 (*) and PTX-VEH (+) mice (<span class="html-italic">p</span> &lt; 0.05, Kruskal–Wallis test followed by Dunn’s multiple-comparisons test). The values are the means ± SEMs from 6 animals per group.</p>
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<p>Reversion of the thermal allodynia triggered by PTX after administration of 10 mg/kg of MCC950 (given intraperitoneally twice a day on three consecutive days). The data are shown as the numbers of paw lifts for the left (<b>A</b>) and right (<b>B</b>) paws. In all graphs, the symbols indicate significant differences compared to VEH-VEH or VEH-MCC950 (*) and PTX-VEH (+) mice (<span class="html-italic">p</span> &lt; 0.05, Kruskal–Wallis test followed by Dunn’s multiple-comparisons test). The values are the means ± SEMs of 6 animals per group.</p>
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<p>Inhibition of the anxiodepressive-like behaviors and memory loss associated with PTX after the intraperitoneal administration of 10 mg/kg of MCC950 on 3 consecutive days. The number of entries into the open (<b>A</b>) and closed arms (<b>B</b>) and the proportion of time spent in the open arms (<b>C</b>) in the EPM. The time that the animals remained immobile (s) in the TST (<b>D</b>) and FST (<b>E</b>) and the discrimination index in the object recognition test (<b>F</b>). In all graphs, the symbols indicate significant differences compared to VEH-VEH (*), PTX-MCC950 (#), and the other groups (@) (<span class="html-italic">p</span> &lt; 0.05, Kruskal–Wallis test followed by Dunn’s multiple-comparisons test). The data are expressed as the mean values ± SEMs of 8 animals for each group.</p>
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<p>Effects of MCC950 treatment on the protein levels of NLRP3 (<b>A</b>), 4-HNE (<b>B</b>), p-ERK 1/2 (<b>C</b>), HO-1 (<b>D</b>), NQO1 (<b>E</b>), SOD-1 (<b>F</b>), and BAX (<b>G</b>) in the sciatic nerves of PTX-injected mice. VEH-injected mice given VEH were used as controls. (<b>H</b>,<b>I</b>) Representative blots of these proteins. The symbols indicate significant differences vs. VEH-VEH (*) and PTX-MCC950 (#) (<span class="html-italic">p</span> &lt; 0.05; Kruskal–Wallis test followed by Dunn’s multiple-comparisons test). The results are shown as the means ± SEMs of 6 samples/group.</p>
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<p>Effects of MCC950 treatment on the protein levels of NLRP3 (<b>A</b>), 4-HNE (<b>B</b>), p-ERK 1/2 (<b>C</b>), HO-1 (<b>D</b>), NQO1 (<b>E</b>), SOD-1 (<b>F</b>), and BAX (<b>G</b>) in the amygdalae of PTX-injected mice. VEH-injected mice given VEH were used as controls. (<b>H</b>,<b>I</b>) Representative blots of these proteins. The symbols represent significant differences vs. VEH-VEH (*) and PTX-MCC950 (#) (<span class="html-italic">p</span> &lt; 0.05; Kruskal–Wallis test followed by Dunn’s multiple-comparisons test). The results are shown as the means ± SEMs of 6 samples/group.</p>
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<p>Effects of MCC950 treatment on the protein levels of NLRP3 (<b>A</b>), 4-HNE (<b>B</b>), p-ERK ½ (<b>C</b>), HO-1 (<b>D</b>), NQO1 (<b>E</b>), SOD-1 (<b>F</b>), and BAX (<b>G</b>) in the hippocampi of PTX-injected mice. VEH-VEH-injected mice were used as controls. (<b>H</b>,<b>I</b>) Representative blots of these proteins. The symbols indicate significant differences vs. VEH-VEH (*) and PTX-MCC950 (#) mice (<span class="html-italic">p</span> &lt; 0.05; Kruskal–Wallis test followed by Dunn’s multiple-comparisons test). The results are shown as the means ± SEMs of 6 samples/group.</p>
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<p>Effects of the acute intraperitoneal administration of MCC950 (10 mg/kg) combined with HRW (0.15 mM) on the mechanical and thermal allodynia on day 21 after PTX injection. The data are presented as the von Frey filament strength (g) on the left (<b>A</b>) and right (<b>B</b>) paws and the number of paw lifts for the left (<b>C</b>) and right (<b>D</b>) paws. In all graphs, the symbols indicate significant differences compared to the respective VEH- (*) and PTX-VEH-VEH-treated mice (+) (<span class="html-italic">p</span> &lt; 0.05, Kruskal–Wallis test followed by Dunn’s multiple-comparisons test). The results are shown as the means ± SEMs of 6 animals per group.</p>
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