👤 Riping Wu

Male infertility, often linked to impaired spermatogenesis, is increasingly associated with environmental pollutants such as bisphenol S (BPS), a common bisphenol A substitute, yet its molecular mechanisms in human Sertoli cells remain unclear. In this study, immortalized human Sertoli cells were exposed to BPS, and cell viability, proliferation, and transcriptomic changes were assessed, with bulk RNA sequencing integrated with single-cell transcriptomic profiles from non-obstructive azoospermia (NOA) testes to identify key regulatory factors. Potential BPS targets were predicted via pharmacophore mapping and confirmed through molecular docking, molecular dynamics simulations, and MM/GBSA binding free energy calculations, while functional validation was performed using NR1H3 knockdown and overexpression assays with luciferase reporter and Western blot analyses. BPS significantly inhibited cell viability and proliferation at concentrations ≥ 20 μM, inducing transcriptomic dysregulation involving cell cycle suppression, metabolic pathway alterations, and steroid biosynthesis disruption. Integration of computational and transcriptomic analyses identified NR1H3 as a direct BPS target, with docking and dynamics simulations demonstrating stable binding (-20.64 ± 2.26 kcal/mol), and experimental data showing that BPS reduced NR1H3 protein levels and transcriptional activity, while NR1H3 knockdown impaired cell survival and overexpression partially rescued BPS-induced cytotoxicity. These findings provide the first evidence that BPS impairs human Sertoli cell function by targeting NR1H3, revealing a critical role of NR1H3 in Sertoli cell survival and suggesting that BPS exposure may contribute to male infertility through NR1H3-mediated pathways. Show less

Necrosis induced by sodium overload has recently been identified as a novel form of regulated cell death. However, the specific genes associated with sodium overload in breast cancer (BC) remain uncharacterized. We identified 753 differentially expressed sodium-overload-related genes (DESORGs) in BC. We performed pathway enrichment analyses, then used univariate Cox regression to select 67 prognostic DESORGs. To build prognostic models, we tested 101 combinations of ten machine learning algorithms. SHAP analysis was used to determine feature importance. Mendelian randomization (MR) was applied to assess causal effects. Experimental validation (in vitro) included overexpression and knockdown studies. GSEA/GSVA and molecular docking were conducted to explore downstream pathways and potential drug candidates. The ridge regression model showed optimal prognostic power. IFNG was identified as the key feature. The computed risk score was an independent prognostic factor, outperforming traditional clinical variables (AUC = 0.845), and a nomogram built with it yielded good calibration (C-index = 0.815). MR suggested a protective causal effect of NR1H3 in BC, and patients with high NR1H3 expression had significantly better overall survival (p = 0.02). These findings highlight NR1H3 as a novel DESORG and a promising therapeutic target in breast cancer. Show less

This study was aimed at identifying the effects of liver X receptor alpha (LXRα) on sepsis-induced acute lung injury (ALI) and clarifying its novel regulatory mechanisms using bioinformatics and experimental methods. Bioinformatics analysis of the differentially expressed genes and functional annotations were performed. Lipopolysaccharide (LPS) was administered intraperitoneally for sepsis-induced ALI in a mouse model; then, the LXR agonist T0901317 (T0) was administered to the mice along with RAW264.7 macrophages for LXRα activation. We then performed hematoxylin and eosin staining, estimated the total protein in the bronchoalveolar lavage fluid, and detected the expressions of TNFα and IL6 by reverse transcription polymerase chain reaction to evaluate the inflammatory injury in the lung tissues. Autophagy was detected via immunohistochemistry, transmission electron microscopy, and Western blotting. RNA sequencing was then used to analyze the autophagy-related genes regulated by LXRα, and the cells were transfected with S100A8-siRNA to determine whether LXRα regulated inflammatory damage by regulating the autophagy-related gene S100A8. The clinical correlation between LXRα and S100A8 was determined through analysis of human transcriptome data. The bioinformatics analyses revealed that LXRα (NR1H3) was downregulated in sepsis-induced ALI models and that LXRα might regulate autophagy. The animal- and cell-based experiments further verified these findings. The LXR agonist T0 was found to alleviate lung damage and reduce the expressions of inflammatory factors in the lung tissues and cells. After inhibiting autophagy with 3-methyladenine, the protective effects of T0 on inflammatory damage were shown to be inhibited. Subsequently, RNA sequencing of the macrophages was performed, and four genes ( The findings of this study suggest that T0 attenuates sepsis-induced pulmonary injury by promoting macrophage autophagy via suppression of S100A8 expression. Show less

By 2020, breast cancer (BRCA) surpassed lung cancer as the most prevalent cancer globally, exhibiting high morbidity and mortality. Given the emerging role of circadian rhythm in cancer progression, this study aimed to develop a prognostic signature based on circadian rhythm-related genes (CRRGs) to predict BRCA patient survival. Gene expression profiles and clinical data were sourced from the Gene Expression Omnibus (GEO), The Cancer Genome Atlas (TCGA), and the Molecular Signatures Database (MSigDB). A multigene signature was constructed using LASSO-penalized Cox regression. Patients were stratified into high- and low-risk groups based on median risk scores. Pathway activity was assessed via gene set variation analysis (GSVA). Prognostic performance was evaluated using ROC curves, Kaplan-Meier (K-M) analysis, and multivariate Cox regression. A 20-CRRG prognostic signature was identified, effectively stratifying patients into distinct risk groups (K-M *P* < .05). ROC analysis demonstrated high predictive accuracy (AUC > 0.7). Functional enrichment linked these CRRGs to circadian regulation, nuclear components, and DNA binding. Further refinement revealed a 9-gene subset (ADRB1, BHLHE41, BTG1, EGR3, NONO, NR1H3, NTRK3, OPN4, PIGF) with superior 5-year survival prediction (AUC 0.82) compared to 1- and 3-year outcomes. The CRRG-based signature, particularly the 9-gene subset, robustly predicts BRCA patient survival, offering potential clinical utility for long-term prognosis. These findings underscore the role of circadian rhythms in BRCA progression and highlight novel biomarkers for risk stratification. Show less

Breast cancer (BRCA) is a prevalent female malignancy. PANoptosis, integrating diverse cell death traits, is pivotal in BRCA, thus necessitating deeper study. Data from Gene Expression Omnibus (GEO, GSE180286 and GSE20685) and The Cancer Genome Atlas (TCGA) were analyzed. Weighted gene co-expression network analysis (WGCNA) identified PANoptosis-related genes in BRCA patients from TCGA. Further refinement of these module genes was conducted through univariate Cox regression, LASSO regression (glmnet package), and stepwise multivariate regression analysis to derive the final biomarkers. Based on these biomarkers, a risk model was established, and in-vitro experiments (wound healing assay, Transwell assay, and qRT-PCR) were carried out to validate the accuracy of these biomarkers. The MCPcounter package and the oncoPredict package were used to assess immune cell infiltration and sensitivity to drugs in BRCA patients, respectively. This study identified 8 biomarkers (ACY3, CD83, CXCL13, KLHDC7B, NR1H3, SMCO4, TRPM2, and UPP1) and established a risk model. In-vitro experiments revealed significant differences in biomarker expression between BRCA cells and the control group, with TRPM2 knockdown inhibiting BRCA cell migration and invasion. Enrichment analysis showed metabolic pathways were activated in high-risk group. Additionally, immune analysis showed lower immune cell enrichment and significant enrichment of fibroblasts in the high-risk group. Drug sensitivity analysis linked 13 drugs to RiskScore. Finally, single-cell analysis identified six cell types (including cancer stem cells, fibroblasts, T-cells, macrophages, B/Plasma cells, and endothelial cells) for BRCA and found that macrophages had higher PANoptosis activity. The current research introduces a novel model for BRCA prognosis analysis but also provides a fresh perspective on BRCA treatment strategies. Show less

CKN is a self-developed LXRα agonist capable of up-regulating the expression of ABCA1, diminishing intracellular lipid deposition, and attenuating the inflammatory response. Nevertheless, the protective effect and mechanism of ischemic stroke remain indistinct. The aim of this study is to investigate the therapeutic effects and the underlying mechanisms of CKN in ischemic stroke. In this study, the tMCAO model was utilized to induce cerebral artery occlusion in mice, and cholesterol-induced BV2 and primary microglia models were adopted. Neuronal damage and the effect of CKN on ABCA1 expression, lipid deposition, and TLR4 signaling in penumbra microglia were assessed. The results demonstrated that: (1) CKN treatment markedly ameliorated the neurological deficit score of the tMCAO model, contracted the infarct size, and mitigated the damage of the cerebral cortex. (2) CKN has the capacity to up-regulate the expression of ABCA1 in microglia within the ischemic penumbra by activating the LXRα/ABCA1 signaling pathway, and minimize lipid deposition and inflammatory responses. (3) The activation of the LXRα/ABCA1 signaling pathway is profoundly implicated in the inflammatory response triggered by CKN inhibition of the TLR4 signaling pathway in microglia. The present study demonstrated for the first time that the activation of the LXRα/ABCA1 signaling possessed the ability to attenuate reperfusion injury in ischemic stroke by means of reducing lipid droplet formation and TLR4-mediated inflammatory signaling within microglia in the ischemic penumbra. Show less

Liver X receptor α (LXRα) plays an important role in inflammatory immune response induced by hepatic ischemia-reperfusion injury (IRI) and acute rejection (AR). Macrophage M1-polarization play an important role in the occurrence and development of AR. Although the activation of LXR has anti-inflammatory effects, the role of LXRα in AR after liver transplantation (LT) has not been elucidated. We aimed to investigate LXRα anti-inflammatory and macrophage polarization regulation effects and mechanisms in acute rejection rat models. LXRα anti-inflammatory and liver function protective effects was initially measured in primary Kupffer cells and LT rat models. Subsequently, a flow cytometry assay was used to detect the regulation effect of LXRα in macrophage polarization. HE staining, TUNEL and ELISA were used to evaluate the co-treatment effects of TO901317 and tacrolimus on hepatic apoptosis and liver acute rejection after LT. In this study, we found that LPS can inhibit the expression of LXRα and activate MAPK pathway and PI3K/AKT/mTOR. We also found that LXRα agonist (TO901317) could improve liver function and rat survival after LT by activating the level of ABCA1 and inhibiting MAPK. TO901317 could inhibit macrophage M1-polarization by activating PI3K/AKT/mTOR signal pathway to improve the liver lesion of AR rats after liver transplantation. Additionally, co-treatment with TO901317 and tacrolimus more effectively alleviated the damaging effects of AR following LT than either drug alone. Our results suggest that the activation of LXRα can improve liver function and rat survival after LT by regulate ABCA1/MAPK and PI3K/AKT/mTOR signaling axis in macrophages. Show less

Prenatal exposure to bisphenol analogs (BPs) may pose hazards to offspring's health; however, their underlying mechanisms remain to be elucidated. DNA methylation, a major epigenetic mechanism, may be involved in early programming following environmental disturbances. In this prospective study, we investigated associations between prenatal BPs exposure and the placental DNA methylation levels of 14 candidate genes in the peroxisome proliferator-activated receptor (PPAR) signaling pathway among 205 mother-infant pairs and explored the potential mediating role of the DNA methylation in the association of prenatal BPs exposure with anthropometric measurements of infants aged 1 year. We observed a general pattern that prenatal BPs exposure was associated with the DNA hypomethylation of candidate genes, with associations consistently and notably observed for PPAR α (PPARA), retinoid X receptor α (RXRA), acetyl-CoA acyltransferase 1, and acyl-CoA dehydrogenase medium chain (ACADM) in linear regression and Bayesian kernel machine regression. Both models identified bisphenol F (BPF) as the predominant compound. We found inverse associations between the placental DNA methylation levels of most candidate genes, such as PPARA, RXRA, ACADM, and nuclear receptor subfamily 1 group H member 3 (NR1H3), and the length-for-age z-score, arm circumference-for-age z-score, subscapular skinfold-for-age z-score, and abdominal skinfold thickness of the infants. The DNA methylation levels of RXRA and NR1H3 could mediate the associations between prenatal BPF exposure and increased infant anthropometric measurements, with mediating portions ranging from 23.02% to 30.53%. Our findings shed light on the potential mechanisms underlying the effects of prenatal BPs exposure on infant growth and call for urgent actions for risk assessment and regulation of BPF. Future cohort studies with larger sample sizes are warranted to confirm our findings. Show less

Mesenchymal cells constitute the primary structural support elements within endometriotic lesions, yet their pivotal roles in endometriotic pathogenesis remain largely uncharted. This study aimed to construct a single-cell atlas of endometriosis using samples from three ovarian tissues affected by endometriosis and three normal ovarian tissues. Through the utilization of scRNA-seq, we have unveiled six distinct mesenchymal subclusters in normal and endometriosis-afflicted ovaries, elucidating the diverse functions of mesenchymal populations in endometriosis. Our comprehensive analysis has revealed that mesenchymal cells predominantly engage in three key functions: ribosome-mediated protein synthesis and processing, cell adhesion facilitating intercellular support and communication, and a range of metabolic processes. Furthermore, our findings have identified several pivotal differentially expressed genes (e.g. C3, FN1, COL3A1, COL1A1, NRXN3), primarily associated with the complement and coagulation cascades, extracellular matrix (ECM) regulation, ECM receptor interactions, and cell adhesion molecules. In essence, our study provides a comprehensive transcriptomic dataset and novel insights into adhesive molecule and integrin networks within mesenchymal subclusters in endometriosis. This, in effect, has deepened the understanding of the pathomechanisms governing this condition. Show less

The comorbidity of major depressive disorder (MDD) and Parkinson's disease (PD) were prevalent and has a profound impact on patients. However, whether this comorbidity results from specific pathological processes or a mutual cause-and-effect relationship was largely controversial. Additionally, although MDD can appear before or after PD, the health impact of the comorbidity sequence is poorly understood. We used mendelian randomization (MR) and UK biobank (UKB) cohort to explore the associations between MDD and PD. MR was also utilized to investigate potential confounders. By classifying UKB patients into MDD first and PD first groups, we evaluated the health impact of the comorbidity sequence using Cox regression. Bidirectional MR and cohort study showed conflicting results. MR did not find associations between MDD followed by PD (odds ratio [OR] = 1.28, 95 % confidence interval [CI] = 0.85-1.94) or PD followed by MDD (OR = 0.99, 95 % CI = 0.97-1.01). However, the cohort study found a significant effect of MDD on PD (hazard ratio [HR] = 1.75, 95 % CI = 1.55-1.97) and PD on MDD (HR = 4.35, 95 % CI = 3.65-5.19). By performing MR on 4709 proteins, we identified ESD, LEAP2, NDRG3, NRXN3, and PLXNB2 as potential common causes of MDD and PD. Additionally, PD first group had higher risks of all-cause mortality (HR = 1.65, 95 % CI = 1.03-1.90), dementia (HR = 1.88, 95 % CI = 1.16-3.04), and aspiration pneumonia (HR = 1.89, 95 % CI = 1.09-3.27). Our study suggested the comorbidity of MDD and PD is likely the result of certain pathological processes. Additionally, patients with PD first had higher risks of several adverse outcomes. Show less

Previous studies have reported several genetic loci associated with lung function. However, the mediating mechanism between these genetic loci and lung function phenotype is rarely explored. In this research, we used a cross-tissue multi-omics post-GWAS analysis to explain the associations between DNA methylation, gene expression, and lung function. We conducted integration analyses of lung function traits using genome-wide association study (GWAS) summary data alongside expression quantitative trait loci (eQTLs) and DNA methylation quantitative trait loci (mQTLs) derived from whole blood, utilizing multi-omics SMR and Bayesian colocalization analysis. Considering the genetic differences of tissues, we replicated the shared causal signals of eQTLs and lung function in 48 diverse tissues and the shared causal signals of mQTLs and lung function in 8 diverse tissues. Multi-trait colocalization analyses were utilized to identify the causal signals between gene expression in blood, blood cell traits, and lung function, as well as between cross-tissue gene expression in diverse tissues and lung function. Eight genes from blood tissue were prioritized as FEV1 causal genes using multi-omics SMR analysis and COLOC colocalization analysis: EML3, UBXN2A, ROM1, ZBTB38, RASGRP3, FAIM, PABPC4, and SNIP1. Equally, five genes (CD46, EML3, UBXN2A, ZBTB38, and LMCD1) were prioritized as FVC causal genes and one gene (LMCD1) was prioritized as FEV1/FVC causal genes. The causal signals between 8 genes (EML3, ROM1, UBXN2A, ZBTB38, RASGRP3, FAIM, PABPC4, and CD46) and lung function were successfully replicated in diverse tissues. More importantly, MOLCO colocalization analysis showed that 3 genes (CD46, LMCD1, and ZBTB38) expression in blood, blood cell traits, and lung function traits shared the same causal signals. Finally, through cross-tissue colocalization analysis of multiple traits, we found that the heart-lung axis EML3 expressions and lung function mediate the same causal signal. This study identified potential cross-tissue molecular targets associated with lung function traits from DNA methylation and gene expression of diverse tissues and explored the probable regulation mechanism of these molecular targets. This provides multi-omics and cross-tissue evidence for the molecular regulation mechanism of lung function and may provide new insight into the influence of crosstalk between organs and tissues on lung function. Show less

Macroautophagy/autophagy is a stress-responsive lysosomal catabolic pathway that promotes cellular homeostasis and tumor cell survival, but its role in breast cancer progression and metastasis remains unclear. Here, we show that a brain-specific serine/threonine protein kinase, BRSK2, a marker of aggressive metastatic disease in breast cancer patients, is crucial in regulating autophagy. BRSK2 is overexpressed in aggressive cancer and is associated with reduced disease-specific survival. BRSK2 also regulates basal autophagy and activates AKT, STAT3, and NF-κB-mediated cancer cell survival pathways. In addition, BRSK2 overexpression increases the levels of inflammatory cytokines and chemokines in breast cancer cells. Downregulation of BRSK2 using specific siRNAs or the BRSK2 kinase small-molecule inhibitor GW296115 markedly reduced nutrient-deprivation stress-mediated autophagy, cell growth, and metastatic potential, and enhanced breast cancer cell apoptosis. Endogenous BRSK2 is associated with the Vps34-class III PI3K-Beclin-1-ATG14 autophagy signaling complexes that could protect cancer cells from nutrient-deprivation stress. Our findings demonstrate the key role of the BRSK2-mediated protective autophagy and cell growth and survival under nutrient deprivation stress via survival signals, e.g., PI3K/AKT or STAT3-NF-kB, in aggressive breast cancer cells. Show less

Cancer persists as one of the most formidable global public health crises and socioeconomic burdens of our era, compelling the scientific community to develop innovative and diversified therapeutic modalities to revolutionize clinical management and enhance patient outcomes. The recent seminal discovery by Swamynathan et al. has unveiled menadione, a vitamin K precursor, as a potent inducer of triaptosis-a novel regulated cell death pathway mediated through the oxidative modulation of phosphatidylinositol 3-kinase PIK3C3/VPS34. This mechanistically distinct cell death paradigm, characterized by its intimate association with endosomal dysfunction and oxidative stress-induced cellular catastrophe, has demonstrated remarkable therapeutic efficacy in preclinical prostate cancer models, outperforming conventional therapeutic regimens and emerging as a potential paradigm-shifting strategy in oncology. This comprehensive review provides a critical synthesis of the triaptosis discovery landscape, elucidating its molecular intricacies and pathophysiological implications. We systematically examine the multifaceted roles of endosomal biology in oncogenesis and tumor progression, while offering a nuanced perspective on redox homeostasis in malignant cells and the therapeutic potential of oxidative stress modulation. Furthermore, we address the inherent dichotomy of oxidative stress induction in cancer therapy, balancing its therapeutic promise against potential adverse effects. Looking toward the horizon of cancer research, we explore transformative therapeutic strategies leveraging triaptosis induction and its potential applications beyond oncology, aiming to catalyze a new era of precision medicine that ultimately enhances patient survival and quality of life. Show less

Halting breast cancer metastatic relapse following primary tumor removal remains challenging due to a lack of specific vulnerabilities to target during the clinical dormancy phase. To identify such vulnerabilities, we conducted genome-wide CRISPR screens on two breast cancer cell lines with distinct dormancy properties: 4T1 (short-term dormancy) and 4T07 (prolonged dormancy). The dormancy-prone 4T07 cells displayed a unique dependency on class III PI3K (PIK3C3). Unexpectedly, 4T07 cells exhibited higher mechanistic target of rapamycin complex 1 (mTORC1) activity than 4T1 cells due to lysosome-dependent signaling occurring at the cell periphery. Pharmacologic inhibition of PIK3C3 suppressed this phenotype in the 4T1-4T07 models as well as in human breast cancer cell lines and a breast cancer patient-derived xenograft. Furthermore, inhibiting PIK3C3 selectively reduced metastasis burden in the 4T07 model and eliminated dormant cells in a HER2-dependent murine breast cancer dormancy model. These findings suggest that PIK3C3-peripheral lysosomal signaling to mTORC1 may represent a targetable axis for preventing dormant cancer cell-initiated metastasis in patients with breast cancer. Dormancy-prone breast cancer cells depend on the class III PI3K to mediate peripheral lysosomal positioning and mTORC1 hyperactivity, which can be targeted to blunt breast cancer metastasis. Show less

Autophagy is essential in DNA damage response by limiting damage, but its responsive activation remains unclear. RBM38 (RBM38a), an RNA-binding protein, regulates mRNA metabolism and plays a key role in controlling cell cycle progression, senescence, and cancer. In this study, we uncovered a novel primate-specific isoform, RBM38c, with 32 extra amino acids from exon 2, which imparts a distinct capacity to promote autophagy upon DNA damage. TP53 increases RBM38c expression upon DNA damage, while TRIM21 facilitates its K63-linked ubiquitination at lysine (K) 35. Activated RBM38c enhances its interaction with BECN1, promoting the formation of the ATG14-containing PtdIns3K-C1 complex and thus autophagy initiation. A K35R mutation or TRIM21 deficiency impairs RBM38c ubiquitination, preventing autophagy activation upon DNA damage. Moreover, RBM38c-driven autophagy protects cells from DNA damage-induced apoptosis and promotes survival, with this beneficial effect susceptible to suppression by the autophagy inhibitor 3-methyladenine. Consequently, depleting RBM38c enhances the efficacy of DNA-damaging drugs by impairing autophagy and increasing DNA damage. Clinical lung cancer samples show a positive correlation between RBM38c expression and LC3 expression, and this correlation is linked to chemotherapy resistance. Together, our study reveals a novel mechanism for DNA damage-induced autophagy, involving K63-linked ubiquitination of RBM38c as a critical interactor with BECN1. Show less

NRBF2, a component of autophagy-associated PIK3C3/VPS34-containing phosphatidylinositol 3-kinase complex, plays a crucial role in learning and memory processes, yet its specific impact on memory and the underlying molecular mechanisms remains unclear. Here, we utilized NRBF2 knockout mice to examine its influence on the time course of fear memory. Employing quantitative PCR, Western blot analysis, behavioral tests, and electrophysiology, we investigated the mechanisms through which NRBF2 affects memory processing. We observed an increase in This study offer new insights into the role of NRBF2 and highlight the potential of targeting NRBF2 as a therapeutic strategy for addressing cognitive deficits associated with various disorders. Show less

Swine enteric coronaviruses pose a significant challenge to the global pig industry, inflicting severe diarrhea and high mortality rates among piglets, and resulting in substantial economic losses. In our clinical practice, we observed that the addition of potassium molybdate (PM) to the feed could dramatically reduce diarrhea and diarrhea-related mortality in piglets. However, the underlying mechanisms remain elusive and merit further investigation. In this study, we revealed that PM effectively inhibited the infection of both aminopeptidase N (APN)-dependent coronaviruses, transmissible gastroenteritis virus (TGEV), and porcine respiratory coronavirus (PRCV), both Show less

Fatigue is a common but poorly understood issue in type 2 diabetes (T2DM) that affects quality of life. Although ceRNA networks regulate disease progression, their role in T2DM-related fatigue (F-T2DM) is unclear. This study developed a circRNA-mediated ceRNA network to uncover the molecular interactions causing fatigue in F-T2DM. The study included healthy control group (Control, n = 21), F-T2DM group (n = 21), and non-fatigue type 2 diabetes patients (NF-T2DM, n = 21). By combining high-throughput sequencing to screen differentially expressed circRNAs (F-T2DM vs Control: 1144; F-T2DM vs NF-T2DM: 1303) and mRNAs (F-T2DM vs Control: 912; F-T2DM vs NF-T2DM: 1190), it was found that hsa_circ₀₀₇₈₅₃₉ and hsa_circ₀₀₂₆₂₃₉ were significantly upregulated in F-T2DM compared to both Control and NF-T2DM groups, and their host genes were involved in cytoskeleton remodeling. The GO/KEGG enrichment analysis combined with weighted gene co-expression network (WGCNA) of F-T2DM compared with Control indicated that the core pathways of F-T2DM focused on actin cytoskeleton dynamic regulation, AMPK signaling pathway, tricarboxylic acid cycle, and oxidative stress response. In the enrichment analysis of F-T2DM and NF-T2DM, cytoskeleton dynamics regulation, AMPK signaling pathway, and tricarboxylic acid cycle were further enriched, and the specific activation of reactive oxygen metabolism balance and AGE-RAGE pathway was also observed. Further, through multi-database prediction and experimental verification, a F-T2DM-specific ceRNA network was constructed, and key regulatory axes hsa_circ₀₀₄₄₆₂₃/hsa-mir-129-5p/MYLK3, hsa_circ₀₀₀₂₆₂₂/hsa-mir-200b-3p/RAB21, and hsa_circ₀₀₇₈₅₃₉/hsa-mir-4695-3p/SLC7A14 were screened out. The ceRNA regulatory network in human and animal samples was confirmed using RT-qPCR. These axes drive the pathological process by regulating myocardial contractility efficiency, glucose transport, mitochondrial energy metabolism, and insulin signaling pathway. This study clarified the molecular regulatory mode of patients with fatigue type 2 diabetes from the perspective of ceRNA network, providing a new direction for the research on diabetes classification and diagnosis. Show less

Factors influencing the macrophage surfaceome define macrophage identity and behavior. Here, we use genome-wide phenotypic screens to identify genes affecting the accessibility and surface expression of macrophage signal regulatory protein alpha (SIRPA). Our data are consistent with previous evidence but also implicate glutaminyl-peptide cyclotransferase-like (QPCTL) in cis CD47-SIRPA interactions. We also identify endolysosomal factors encoded by Ras-associated binding protein 21 (RAB21) and members of the CCC (COMMD/CCDC22/CCDC93) and Wiskott-Aldrich syndrome protein and SCAR homolog (WASH) complexes as modulators of SIRPA expression. Surface immunophenotyping and surfaceome profiling show that inactivation of either Sirpa or Rab21 remodels cell surface protein expression. In contrast to Sirpa, Rab21 appears to be a general regulator of established macrophage cell surface markers. Perturbation of RAB21/Rab21 reduced Fc gamma receptor (FcγR) expression, leading to decreased uptake of antibody-nanoparticle conjugates and impaired phagocytosis of opsonized cells. To summarize, our study describes circuitry controlling SIRPA expression on macrophages and reveals a conserved RAB21-dependent trafficking pathway that has a role in modeling the cell surface of macrophages. Show less

The tumor immune microenvironment (TIME) and its impact on the prognoses and treatment of lung adenocarcinoma (LUAD) represent a major focus of research in this field. The present study primarily elucidates the role of RGS17 in TIME of LUAD. A comprehensive array of analytical methods was employed to assess the gene expression levels, including RT-qPCR, Western blots assay and Immunohistochemistry. The assessment of cell apoptosis and viability was conducted through the utilization of Flow cytometry, Colony formation, or CCK-8 assays. To comprehensively evaluate glycolysis, the glucose consumption, lactate production and extracellular acidification rate (ECAR) were detected. RGS17 was highly expressed in LUAD patients, which predicted adverse prognosis of LUAD patients. Functionally, RGS17 promoted LUAD tumor growth by hindering the anti-tumor immune response. Specifically, knockdown of RGS17 in tumor cells was observed to result in increased CD8 + T cell infiltration into the tumors, thereby impeding LUAD tumor growth. Furthermore, tumor-secreted RGS17 impeded CD8 + T cell function by reducing IFN-γ and Granzyme B secretion, thus impeding the anti-tumor immune response. Mechanically, RGS17 impeded glycolysis in CD8 + T cells by regulating the PI3K/AKT pathway. Tumor-secreted RGS17 impairs CD8 + T cell cytotoxicity in LUAD through impeding glycolysis mediated by PI3K/AKT pathway, thereby promoting tumor growth. Show less

Fibromyalgia (FM) is a complex autoimmune disorder characterized by widespread pain and fatigue, with significant diagnostic challenges due to the absence of specific biomarkers. This study aims to identify and validate potential genetic markers for FM to facilitate earlier diagnosis and intervention. We analyzed gene expression data from the Gene Expression Omnibus (GEO) to identify differentially expressed genes (DEGs) associated with FM. Comprehensive enrichment analyses, including Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG), and Reactome pathways, were performed to elucidate the biological functions and disease associations of the candidate genes. We used the eXtreme Gradient Boosting (XGBoost) algorithm to develop a diagnostic model, which was validated using independent datasets. Three genes, namely, dual-specificity tyrosine phosphorylation-regulated kinase 3 The study successfully identifies three diagnostic biomarkers for FM, supported by both bioinformatics analysis and machine learning models. These findings could significantly improve diagnostic accuracy for FM, leading to better patient management and treatment outcomes. Show less

Diabetic retinopathy (DR), a microvascular disease, also involves retinal neurodegeneration. Müller cells exert an important role in the retina, and their destabilization and reduction affect the physiological function of the retina. To investigate the effect and mechanism of hedgehog acyltransferase-like (Hhatl) on Müller cells in DR. The differentially expressed genes (DEGs) in Müller cells of DR rats were first analyzed by single-cell transcriptomics techniques (scRNA-seq). Regulating Hhatl expression, cell viability was detected using cell counting kit-8 (CCK-8) assay; apoptosis was detected by terminal deoxynucleotidyl transferase nick-end labeling (TUNEL); the expression of B-cell lymphoma 2 (Bcl2), Bcl2-associated X protein (Bax), activating transcription factor 6 (ATF6), C/EBP homologous protein (CHOP), and glucose-regulated protein 78 (GRP78) was assessed by immunofluorescence; and Ca scRNA-seq analysis revealed that Hhatl was low-expressed in Müller cells of DR rats. In vitro assays confirmed that upregulation of Hhatl could increase rMC-1 Bcl2 expression, decrease Bax expression, and reduce apoptosis in HG environments. In addition, Hhatl did downregulate ATF6 expression, decrease CHOP and GRP78 levels, and reduce Ca Hhatl reduces apoptosis of Müller cells in DR by alleviating ATF6-related ERS signaling. Show less

To investigate the role and mechanism of the SREBP1/SNAI1 signalling pathway in the effect of brexpiprazole on the EMT and metastasis of CRC. The effects of different concentrations of brexpiprazole on cell migration, cell invasion and protein expression Brexpiprazole significantly inhibited the migration and invasion of CRC cells; downregulated the expression of SREBP1(m), SNAI1 and MMP9; upregulated the expression of E-Cad and ZO1; and decreased the levels of secreted ICAM-1 and VEGF in the supernatant of CRC cells. Western blotting and dual-luciferase assays revealed that SREBP1 could directly regulate the expression of SANI1. On the other hand, Brexpiprazole inhibits the migration, invasion and metastasis of CRC cells by inhibiting the SREBP1/SNAI1 signalling pathway and downregulating the expression of EMT-related factors. Show less

The development of an immunosuppressive microenvironment is a critical factor in stomach carcinogenesis. Polymorphonuclear myeloid-derived suppressor cells (PMN-MDSCs) serve a pivotal function in mediating immune suppression. However, the precise mechanisms underlying PMN-MDSCs infiltration into the tumor immune microenvironment (TIME) and their immunosuppressive functions remain poorly understood. In this investigation, we observed that PMN-MDSCs were up-regulated during stomach carcinogenesis, with gastric cancer (GC) cells secreting CCL26 to promote the infiltration of PMN-MDSCs into the TIME via the CX3CR1 receptor. The infiltrating CX3CR1 Show less

Rheumatoid arthritis (RA) is one of the most common chronic inflammatory autoimmune diseases, and ferroptosis has been associated with its pathogenesis. TRIM16 belongs to the TRIM protein family and possesses various biological function. However, the role of TRIM16 in RA has not been reported. Our results showed that TRIM16 was upregulated in collagen-induced arthritis (CIA) mice, and TRIM16 overexpression alleviated joint inflammation. Notably, the level of 4-HNE was decreased in CIA mice, whereas TRIM16 overexpression restored it. The expression of GPX4 and SLC7A11 was upregulated in CIA mice, whereas TRIM16 overexpression significantly suppressed their levels, suggesting that TRIM16 promotes ferroptosis. We then detected TRIM16 expression in TNF-α-induced fibroblast-like synoviocytes (FLS), and found that TNF-α stimulation reduced TRIM16 expression. Overexpression of TRIM16 increased the lipid ROS, Fe Show less

Idiopathic pulmonary fibrosis (IPF) is a chronic and progressive fatal disease characterized by the activation of lung fibroblasts (LFs). Wogonoside (WG), a natural compound with multiple pharmacological properties including anti-fibrotic activities, shows promise in treating IPF. This study aims to investigate the pharmacological effects and underlying mechanisms of WG on LF activation and the progression of IPF. Initially, we validated the anti-fibrotic properties of WG using a bleomycin (Bleomycin)-induced IPF model in mice, followed by RNA sequencing to identify its pharmacological targets. Subsequent in vitro experiments assessed the activities of key enzymes involved in the whole processes of glycolysis and lactic acid production, the changes of cellular energy metabolism and mitophagy-related pathways in LFs treated with transforming growth factor beta (TGF-β) or WG. Finally, reverse validation experiments were performed by further administration of lactic acid or cyclosporin A (CsA) into mice. We demonstrated that WG reduced the production of lactic acid and the lactylation of lactate of snail homolog 1 (Snail1) at K9 site by promoting pyruvate kinase isozymes R/l (PKLR) and inhibiting glyceraldehyde-3-phosphate dehydrogenase (GAPDH), while triggered mitophagy and reduced reactive oxygen species production and mtDNA release by promoting peroxisome proliferator-activated receptor gamma coactivator 1α (PGC1α) and PTEN-induced kinase 1 (PINK1)/PARKIN pathways. These two processes compatibly inhibited the TGF-β transcription and ultimately LF activation, which were reversed by lactic acid supplementation or mitophagy depletion in mice. Overall, our findings first underscore the potential pharmacological benefits of WG in the treatment of IPF by impeding lactate accumulation and mitophagy damage, thereby providing a novel theoretical framework for therapies targeting pulmonary diseases. Show less

Idiopathic frozen shoulder (FS) can lead to difficulties in daily activities and significantly impact the quality of life. Early diagnosis and treatment can help alleviate symptoms and restore shoulder function. Therefore, we aimed to explore the diagnostic biomarkers and potential mechanisms of FS from a transcriptomics perspective. Total RNA was extracted from tissue samples of 15 FS and 11 controls. At the outset, we conducted differential expression analysis, weighted gene co-expression network analysis (WGCNA), and utilized the cytoHubba plugin, complemented by two machine learning algorithms, receiver operating characteristic (ROC) analysis, and expression level evaluation to identify biomarkers for FS. Subsequently, a nomogram was constructed based on the biomarkers. Additionally, we conducted enrichment and immune infiltration analyses to explore the mechanisms associated with these biomarkers. Finally, we confirmed the expression patterns of the biomarkers at the clinical level through reverse transcription-quantitative polymerase chain reaction (RT-qPCR). This study established a link between FS biomarkers that have strong diagnostic potential and specific immune responses, highlighting possible targets for diagnosing and treating FS. Show less

Anoikis is a new mode of cell death that has been shown to correlate significantly with tumors. However, the clinical prognostic significance of anoikis in lung squamous cell carcinoma (LUSC) remains poorly studied. The differentially expressed ARGs and candidate genes were selected by the differential analysis to construct a predictive model. Independent prognostic gene was determined by Cox and LASSO analysis and we used the HCC95 and NCI H520 cell line to verify the gene function. We used the data from TCGA, GEO, GeneCards, and Harmonizome databases to analyze the immune microenvironment, functional enrichment, and drug sensitivity analysis. We identified 717 differentially expressed and selected 3 ARGs (FADD, SNAI1, and BAG4) to construct a predictive model. We found that SNAI1 is an independent prognostic gene and confirmed that knocking out the SNAI1 inhibited the HCC95 We used ARGs to construct a prognosis model for LUSC that can accurately predict the prognosis of LUSC patients. ARGs, especially SNAI1, play an essential role in developing LUSC. These findings could provide individualized treatment plans and new research ideas for LUSC patients. Show less

Metastatic spread of cancer is the leading cause of death in patients with epithelial ovarian cancer (EOC), and elucidation of the molecular mechanisms underlying this process is a major focus of cancer research. Fibroblast growth factor-inducible 14 (Fn14) has been shown to regulate wound repair, inflammation, angiogenesis, and chemoresistance, but its functional role in metastasis in EOC is still unknown. Here it is reported that Fn14 is identified as a cancer metastasis suppressor that inhibits the migratory and invasive potential of EOC cells by down-regulating epithelial-mesenchymal transition (EMT). Mechanistically, it is identified that Fn14 promotes acetylation-dependent protein degradation of Slug, a key transcriptional factor associated with EMT. The deacetylase Sirtuin 2 (SIRT2) has been reported to be involved in the deacetylation of Slug protein to stabilize it and then prevent its degradation in the nucleus. The results showed that Fn14 alters the subcellular localization of (SIRT2) by interacting with SIRT2, leading to reduced SIRT2 shuttling into the nucleus and subsequently promoting the acetylated degradation of Slug. Collectively, the work has demonstrated for the first time that Fn14 inhibits EOC metastasis by regulating SIRT2-mediated Slug deacetylation, providing a new perspective and method for the development of future novel therapeutic strategies for the treatment of EOC metastasis. Show less