👤 Wenhao Deng

This study aims to construct a prognostic model for hepatocellular carcinoma (HCC) based on palmitoylation-related genes and explore its molecular mechanisms through multi-dimensional analyses. The research integrated single-cell transcriptome data (GSE189903) with bulk transcriptome data (TCGA-LIHC, GEO datasets), focusing on palmitoylation-related genes in HCC epithelial cells. The scAB deconvolution algorithm was used to analyze the association between epithelial cell subsets and patient survival, and hdWGCNA was combined to construct a gene co-expression network. Through differential expression analysis, univariate Cox regression, and LASSO penalized regression, 7 key genes (SERPINE1, FMO3, ALDH2, CPS1, SLCO1B1, ACAT1, ACADS) were identified to build a prognostic risk model. Validation results showed that the model could effectively distinguish the survival prognosis of high-risk and low-risk patients (AUC values for 1/3/5 years in the TCGA cohort were 0.676, 0.656, and 0.642, respectively; those in the GSE14520 validation set were 0.702, 0.658, and 0.654, respectively), and the risk score was an independent prognostic factor. Further analyses revealed that the risk score was associated with tumor staging, immune cell infiltration (e.g., T cells, monocytes), response to immunotherapy, and drug sensitivity. Functional enrichment analysis indicated that the high-risk group was enriched in cell cycle regulation and oncogenic signaling pathways, while the low-risk group was related to metabolic pathways. This study is the first to analyze the regulatory network of palmitoylation in HCC epithelial cells by combining single-cell and bulk transcriptomes, providing new molecular targets and methodological references for HCC prognosis evaluation and precision therapy. Show less

Acute kidney injury (AKI), a critical clinical syndrome marked by high incidence and mortality, is currently diagnosed mainly by serum creatinine (SCr) and blood urea nitrogen (BUN), which have high miss rates. This study innovatively proposes using urinary hydrogen peroxide (H Show less

Hepatocellular carcinoma (HCC) is a major malignancy with rising global incidence and mortality. Clinical treatment is limited by molecular heterogeneity and drug resistance. In recent years, endocrine-disrupting chemicals (EDCs) have attracted attention as emerging risk factors, but systematic pathogenic evidence for their roles in HCC initiation and progression remains insufficient. First, we predicted potential targets of EDCs using SwissTargetPrediction, STITCH, and ChEMBL, and intersected them with differentially expressed genes and key module genes from WGCNA in the GEO database to screen candidate key genes. Second, based on these candidates, we constructed diagnostic models using 14 machine-learning algorithms and evaluated feature importance via the SHAP framework to identify key biomarkers and their functional contributions. Molecular docking and molecular dynamics simulations were used to validate interaction mechanisms between EDCs and key target proteins. We then built a multivariable Cox proportional hazards model in the TCGA-LIHC cohort and performed stratified survival analysis, somatic mutation profiling, and immune evasion characterization. Subsequently, we evaluated the tumor immune microenvironment using CIBERSORT and ssGSEA, and integrated single-cell transcriptomic data to resolve cell-subtype heterogeneity, target expression distributions, and cell-cell communication. Meanwhile, we integrated the GDSC drug-sensitivity database to evaluate associations between risk scores and drug response, and conducted pan-cancer analyses to examine cross-cancer applicability. We identified 18 genes jointly associated with EDCs and HCC, significantly enriched in AMPK, p53, and FoxO signaling pathways and cell cycle-related pathways. Among models built with 14 machine-learning algorithms, CatBoost showed the best discriminative performance and identified CCNB2 and AKR1C3 as core driver genes. Docking and dynamics simulations indicated strong binding affinities and stable binding conformations between EDCs and target proteins including CCNB1 (-8.9 kcal/mol), AKR1C3 (-8.4 kcal/mol), and FADS1 (-8.5 kcal/mol). A multivariable Cox risk model based on nine key genes served as an independent prognostic predictor for HCC (HR = 1.746, 95% CI: 1.477-2.064, P < 0.001). The nomogram achieved AUCs of 0.836, 0.810, and 0.788 at 1, 3, and 5 years, respectively, indicating good predictive performance. The high-risk group was significantly associated with high tumor mutational burden (TMB), TP53 mutations, and low immune evasion scores. Regarding the tumor immune microenvironment, CIBERSORT and ssGSEA analyses showed marked enrichment of Tregs and M0 macrophages, while most effector immune cells and functions were suppressed. Single-cell transcriptomics further showed enrichment of endothelial cells, fibroblasts, hepatocytes, and macrophages in HCC tissues, with notable reductions in T cells, B cells, NK cells, and neutrophils, indicating an immunosuppressive microenvironment with stromal remodeling. Cell-cell communication analysis indicated that the MIF-CD74 receptor axis is central in immune-cell interactions. Drug-sensitivity analysis suggested that the high-risk group was more sensitive to GDC0810, BPD-00008900, and Fulvestrant, indicating potential beneficiary populations. Pan-cancer analysis showed that the risk model also had diagnostic and prognostic value in LUAD, KIRP, KIRC, and KICH, suggesting cross-cancer generalizability. This study systematically reveals that EDCs promote HCC initiation and progression by perturbing cell cycle, metabolic, and immune homeostasis through multi-target, multi-pathway mechanisms. The nine-gene risk model demonstrates superior performance in HCC diagnosis and prognosis and shows potential clinical translational value in drug-sensitivity prediction and pan-cancer analyses. This work provides a new perspective at the intersection of environmental toxicology and precision oncology and informs individualized therapeutic strategies. Show less

Distant metastasis of colorectal cancer (CRC) is strongly driven by metabolic reprogramming and epithelial-mesenchymal transition (EMT). Increasing evidence suggests that these two processes form a reinforcing positive feedback loop; however, the integrated regulatory mechanism and its potential for pharmacological intervention remain insufficiently understood. This study aimed to elucidate the mechanistic coupling between autophagy, metabolic reprogramming, and EMT, and to develop a targeted pharmacological strategy capable of disrupting this positive feedback loop. We systematically constructed and validated an autophagy-metabolism-phenotypic transformation regulatory axis centered on ATG4B and PKM2, and evaluated the therapeutic efficacy of Curcumol as a pathway-specific natural compound intervention. Biochemical assays, protein-protein interaction analyses, and functional experiments were performed to determine how ATG4B regulates PKM2 Tyr105 phosphorylation, nuclear translocation, and glycolytic activity. Curcumol was applied to assess its ability to activate ATG4B-dependent autophagy and inhibit PKM2 activation. Anti-tumor efficacy was validated using colorectal cancer organoids, orthotopic implantation, and liver metastasis mouse models. ATG4B was identified as a core autophagy enzyme that directly binds to and shields the PKM2 Tyr105 site, preventing FGFR1-mediated phosphorylation and nuclear translocation. This blockade suppressed the Warburg effect, reduced lactate production, and synergistically inhibited EMT progression. Curcumol activated ATG4B-dependent autophagy, inhibited PKM2 activation, and effectively disrupted the metabolism-EMT positive feedback loop. In multiple CRC models, Curcumol markedly suppressed tumor growth and metastasis, supporting its therapeutic potential. This study reveals the ATG4B-PKM2 axis as a critical regulatory node linking autophagy, metabolic reprogramming, and EMT. Targeting this axis with Curcumol provides a precise strategy to interrupt metabolism-phenotype coupling, offering a mechanistically grounded and translationally promising approach for inhibiting CRC progression and metastasis. Show less

Aberrant fibroblast growth factor receptor 3 (FGFR3) activation drives bladder carcinogenesis in humans, but currently approved pan-FGFR inhibitors lack FGFR3 isoform selectivity and fail to counter clinically acquired resistance mutations (e.g., FGFR3 V555M/L). Herein, we report the structure-based drug design of 4-(1-methyl-1 Show less

Steroid-refractory (SR) disease develops in a substantial fraction of patients with grade II-IV acute graft-versus-host disease (aGvHD) and is associated with poor long-term survival. Improved mechanistic insight is needed to identify reliable predictors of steroid resistance. We retrospectively profiled peripheral blood collected prior to glucocorticoid treatment from allogeneic hematopoietic cell transplantation recipients without aGvHD, with steroid-sensitive aGvHD, and with SR-aGvHD using an integrated multi-omics approach, and validated findings in an independent multicenter cohort. Mass cytometry revealed expansion of activated CD28+ CD8+ effector-memory T (Tem) cells in SR-aGvHD. Absolute counts of these cells at neutrophil engraftment predicted subsequent steroid resistance in the multicenter cohort and performed comparably to established clinical classifiers. This phenotype was associated with a proinflammatory milieu enriched for IL-2, IL-27, and IFN-γ. Single-cell RNA sequencing and functional assays implicated a STAT1-glucocorticoid receptor (GR) regulatory axis in which inflammatory cytokines induce STAT1 phosphorylation and suppress GR expression, consistent with intrinsic glucocorticoid resistance. JAK inhibition rescued cytokine-induced steroid resistance in vitro, while in SR-aGvHD patients, clinical response to ruxolitinib was accompanied by reduced STAT1 activation, restoration of GR expression, and contraction of the expanded CD8+ Tem pool. These findings identify immune dysregulation at SR-aGvHD centered on CD8+ Tem cells with a STAT1-dependent GR deficit and support a mechanistic link to steroid refractoriness. CD28+ CD8+ Tem cell counts may serve as a biomarker of SR-aGvHD and inform development of pre-emptive, pathway-targeted strategies. Show less

Given the globalization of the nursing workforce, psychological empowerment represents a critical intrinsic determinant of nurses' mobility intentions, specifically regarding cross-border work. To identify latent profiles of nurses' psychological empowerment, examine associated factors, and explore the relationship between these profiles and cross-border working intention. A cross-sectional multicenter study was conducted from March to September 2023. Using convenience sampling, clinical nurses were recruited through liaisons from nursing societies in nine cities of Guangdong Province. Data were collected through questionnaires covering sociodemographic questionnaire, psychological empowerment, and cross-border working intention, with analyses including chi-square tests, logistic regression, and latent profile analysis (LPA) performed using SPSS 23.0 and Mplus 8.3. A total of 3671 valid questionnaires were collected, and 39.5% of the respondents reported cross-border intentions. LPA identified three psychological empowerment profiles among nurses, ranked from high to low: the core-driven empowerment profile (16.94%), the adaptive empowerment profile (70.42%), and the constrained empowerment profile (12.64%). The nurses with lower salary, intermediate title, and without specialist nurse qualification were more likely to fall into the constrained empowerment profile. Psychological empowerment was positively correlated with nurses' cross-border work intention. The core-driven profile showed the highest cross-border work intention (50.6%), followed by the adaptive (38.2%) and constrained profiles (31.7%). For cross-border work, the constrained profile prioritized salary (87.1%) as the key concern, while the core-driven profile focused more on good promotion opportunities (70.3%). Psychological empowerment exerts a positive impact on clinical nurses' cross-border work intention, with the three identified empowerment profiles exhibiting divergent motivational priorities and decision logics. These findings highlight the need for subgroup-specific strategies to balance nursing workforce mobility and stability. The findings support a differentiated human resource strategy based on nurses' psychological empowerment profiles. For core-driven nurses, institutions should provide international career development channels to strengthen their domestic job embeddedness. For adaptive nurses, tailored skill training and decision-making autonomy should be offered to guide their mobility aspirations. For constrained nurses, competitive compensation and family support services should be prioritized to address their stability needs and rebuild professional confidence. These targeted measures balance talent mobility and domestic workforce stability. Show less

Through the selective breeding of superior strains, livestock and poultry can achieve enhanced disease resistance and production performance, thereby improving farming efficiency and increasing chicken meat yield. This study analyzed the expression of gut health-related genes, cecal microbiota, and untargeted serum metabolomics in Wenchang chickens from the NS strain (Normal strain) and the AFS strain (Antibiotic-free strain), and explored the relationships between their cecal microbiota and serum metabolites. Our results show that in the ileum, antioxidant-related indicators T-AOC (P < 0.05), T-SOD (P < 0.05), and GSH-PX (P < 0.05) were significantly higher in the AFS strain than in the NS strain, while MDA (P < 0.05) was significantly lower in the AFS strain than in the NS strain. The mRNA expression level of RORγt/FoxP3, which is related to immune regulation, was significantly lower in the AFS strain than in the NS strain (P < 0.05). The differential microorganisms in the cecum primarily included Muribaculum, Cryptobacteroides, Blautia, Enterocloster, Lachnoclostridium, Hydrogenoanaerobacterium, Ruminococcus, Subdoligranulum, Clostridioides, and Evtepia. The main differential metabolites in serum included folinic acid, biotin, lysophosphatidic acid (LPA), 3-hydroxy-3-methylbutanoic acid, 3-hydroxybutyric acid, and others. The differential metabolites are primarily enriched in the following metabolic pathways: gap junction, glycolipid metabolism, and fatty acid biosynthesis. In addition, the Pearson correlation analysis between the gut microbiota and serum metabolites showed that Blautia was positively correlated with folinic acid (P < 0.05) and biotin (P < 0.05); Lachnoclostridium was positively correlated with biotin (P < 0.01); and Ruminococcus was positively correlated with 3-hydroxybutyric acid (P < 0.05). This study mainly elucidates the metabolic characteristics of the antibiotic-free Wenchang chicken strain by analyzing gut microbiota and serum metabolites. Show less

Background Although substantial evidence has demonstrated the impact of obesity on brain structure and cognition, the heterogeneity of adiposity-particularly in terms of fat distribution patterns-and its differential neurologic effects remain poorly understood. Purpose To identify body fat distribution patterns with MRI and latent profile analysis (LPA) and their associations with brain structure measurements, cognition, and neurologic diseases. Materials and Methods This secondary analysis used prospective data from the UK Biobank, including health records and MRI scans of the brain, heart, and abdomen. Fat distribution profiles were classified using LPA based on eight body mass index (BMI)-adjusted MRI-derived fat quantification metrics. Differences in brain volume, white matter properties, cognition, and the risk of neurologic disorders were analyzed across profiles and relative to a benchmark lean profile; analyses were stratified by sex. Group differences were examined using analysis of covariance (ANCOVA) or rank-based ANCOVA. Results Among 25 997 participants (mean age, 55 years ± 7.4 [SD]; 13 536 female participants), LPA identified six profiles of body fat distribution in both sexes. Four high-adiposity patterns were identified, including the pancreatic-predominant profile (profile 1), with elevated proton density fat fraction (mean BMI-adjusted Show less

Pregnant women have a high incidence of perinatal mood and anxiety disorders (PMADs). To explore the influence factor on perinatal psychology, we analysed the SCFAs, lipids, cognition, emotion, and cytokines in the late pregnant women. The mood, cognition, SCFAs of the non-pregnant group were compared to those in the late pregnancy. The differences in SCFAs, lipids, cognition, and cytokines between the high-risk and low-risk groups for affective disorders among women in the late pregnancy were analysed, and the risk factors were sought. Compared with the non-pregnant group, the pregnant group scored lower on the SDMT (P < 0.001), DST (P = 0.035), VRT (P = 0.001), and VFT (P < 0.001), and took longer on the TMTA (P = 0.004). Acetate (P = 0.001) and butyrate (P = 0.002) were higher, while propionate (P < 0.001) and isobutyrate (P = 0.001) were lower in the pregnant group than in the non-pregnant group. Among the pregnant women, CRP was higher in the high-risk group for mood disorders than in the low-risk group (P = 0.048). Meanwhile, HDL was positively associated with DST (P = 0.000), VRT (P = 0.015), and VFT (P < 0.001). Longer TMTA completion times were associated with reduced propionate (P = 0.072) and LPa (P = 0.022). Longer TMTB completion time was associated with lower life satisfaction (P = 0.037), as well as decreased cholesterol (P = 0.026). Pregnant women experience changes in cognition and SCFAs. CRP is a sensitive indicator for monitoring affective disorder. Regulation of SCFAs and lipids may be beneficial for cognition and affect. Show less

This study integrates fluorescence resonance energy transfer (FRET) and small-angle X-ray scattering (SAXS) to elucidate, in real time, how triacylglycerol (TAG) self-assembly dynamics in human milk regulate digestion and absorption. Among three major human milk TAGs-1-oleoyl-2-palmitoyl-3-linoleoyl-glycerol (OPL), 1,3-dioleoyl-2-palmitoyl-glycerol (OPO), and 1,3-dilinoleoyl-2-palmitoyl-glycerol (LPL)-OPL showed ∼20% faster lipolysis and more rapid micelle formation (I Show less

This study was conducted to investigate the clinical and genetic characteristics of a family affected by hereditary spherocytosis (HS) combined with familial chylomicronemia syndrome (FCS), identify the pathogenic cause, and provide a basis for the clinical diagnosis, treatment, and genetic counseling of affected children. Clinical data were collected from family members. High-throughput sequencing was performed to identify pathogenic variants in genes associated with HS and FCS in the proband. Suspected pathogenic mutations were confirmed in family members via PCR-Sanger sequencing. Bioinformatics analysis and three-dimensional protein structure prediction were also conducted. The proband presented with severe anemia, splenomegaly, and jaundice. Genetic testing revealed a heterozygous mutation, c.6005G>A (p.Trp2002*), in the spectrin beta chain ( The heterozygous mutations Show less

The primary renal complication of diabetes mellitus is diabetic kidney disease (DKD). The precise pathogenic mechanisms of DKD remain poorly elucidated. The aim of this study was to identify potential energy metabolism-related genes associated with DKD. The GSE30529 and GSE30528 datasets were retrieved from the Gene Expression Omnibus, and energy metabolism-related genes were obtained from the GeneCards database. Differentially expressed genes (DEGs) between DKD and control groups were analyzed. The biological functions and signaling pathways of these DEGs were evaluated using Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA). The diagnostic performance of hub genes for DKD was assessed using receiver operating characteristic (ROC) curve analysis. Expression levels of five significant energy metabolism-related genes were validated through immunohistochemistry. The Nephroseq V5 tool was used to evaluate gene expression in DKD and to determine correlations between gene expression and renal function in patients with DKD. A total of 17 energy metabolism-related DEGs were identified. Five hub genes-ALB, IGF1, CD36, LPL, and UCP2-were identified. Among these, CD36 and LPL demonstrated relatively high diagnostic accuracy for DKD. The findings suggest that CD36, IGF1, LPL, and UCP2 may serve as potential biomarkers for DKD. The genes CD36, IGF1, LPL, and UCP2 represent potential energy metabolism-related biomarkers with possible applications in the diagnosis and treatment of DKD. Show less

We aimed to investigate whether maternal and fetal genetic predispositions to insulin deficiency and resistance affect offspring fetal growth through distinct pathways in multi-ethnic populations. In 5065 multi-ethnic mother-infant pairs, we examined the conditional associations of maternal and fetal partitioned polygenic risk scores (pPRSs) for type 2 diabetes-related pathways with fetal growth outcomes, including birthweight, sum of skinfold thicknesses (SSF), large-for-gestational-age (LGA) births and small-for-gestational-age (SGA) births. Two-sample Mendelian randomisation (2SMR) in Europeans was performed for triangulation. Exposures were eight type 2 diabetes-related pathways (n=1,812,017), eight beta cell function indices (n=26,356) and two insulin sensitivity indices (n=53,657). Outcomes were maternal and fetal genetically determined birthweight (n=406,063). Mediation analysis was used to assess the mediation effects of maternal glucose levels and BMI on maternal genetic effects and of cord blood C-peptide on fetal genetic effects. Co-localisation analyses were performed to test for shared causal variants. Fetal type 2 diabetes polygenic risk score (PRS) and pPRSs for lipodystrophy-related insulin resistance and impaired fasting glucose (IFG)-related insulin deficiency were associated with lower birthweight and SSF, while maternal type 2 diabetes PRS and pPRSs for IFG-related insulin deficiency and obesity-related insulin resistance were associated with higher offspring birthweight, SSF and LGA. These associations were consistent across five ethnic groups. Maternal post-load hyperglycaemia mediated 44.2% and 34.2% of the effects of type 2 diabetes PRS and IFG pPRS, respectively, while maternal BMI mediated 43.4% of the effect of Obesity pPRS. 2SMR found consistent results in Europeans and further revealed that fetal insulin sensitivity index and corrected insulin response were associated with higher birthweight. Some loci with shared causal variants acted through multiple pathways, including CDKAL1, TCF7L2, ADCY5 and MACF1. Reduced fetal growth may be driven by lipodystrophy-related insulin resistance and IFG-related insulin deficiency pathways. Targeting pregnant women with high type 2 diabetes PRS/pPRS and prescribing interventions to reduce their post-load hyperglycaemia and BMI may help reduce offspring risk of LGA. Show less

Microtubule and actin crosslinking factor 1 (MACF1) plays a critical role in cytoskeletal regulation. Pathogenic variants in We identified two Chinese patients with Our findings broaden the phenotypic spectrum of The online version contains supplementary material available at 10.1186/s40246-026-00917-y. Show less

Excessive fructose intake is strongly associated with metabolic diseases, with the carbohydrate response element-binding protein (ChREBP) playing a key role in its metabolism, particularly in renal tubules. However, the role of its active form, ChREBP-β, was previously unclear. In this study, ChREBP-β overexpression and ChREBP knockout mouse models were utilized to investigate the effects of excessive fructose intake in vivo. In addition, primary renal tubular epithelial cells from mice and human kidney-2 (HK2) cells were applied for further validation in vitro. We found that ChREBP-β leads to increased transcription to mediate endoplasmic reticulum stress and mitochondrial dysfunction, which ultimately impairs renal function. Our findings underscore the critical role of ChREBP-β in fructose-related renal disorders. Show less

To investigate the role of BDNF/TrkB signaling in Central Post-Stroke Pain (CPSP) and to investigate whether this signaling is related to the analgesic effect of optogenetics. This study was conducted in two parts. First, 40 rats were acquired and randomly divided into four groups: Sham, CPSP, CPSP + ANA-12 (inhibitor of the BDNF/TrkB signaling pathway), and CPSP + 1% DMSO. The Sham group received a saline injection into the Ventral Posterolateral Nucleus of the Thalamus (VPL), whereas the other three groups were injected with type IV collagenase. Additionally, the two groups of CPSP rats were separately injected with ANA-12 or 1% DMSO in the VPL. Second, 50 rats were acquired and randomly divided into five groups: Sham, CPSP, CPSP + NpHR, CPSP + NpHR + BDNF, and CPSP + NpHR + PBS. From day 3 after collagenase injection, rats in the three NpHR groups received yellow laser stimulation at a wavelength of 589 nm six times a day for 12 consecutive days. Subsequently, two groups of stimulated rats were separately injected with BDNF or PBS in the VPL. Optogenetic therapy effectiveness and potential mechanisms were evaluated using pain threshold tests and molecular biology, among other methods. According to the pain threshold test results, optogenetic therapy and ANA-12 injection reversed aberrant CPSP while downregulating BDNF and TrkB. Conversely, exogenous BDNF injection reversed the therapeutic effect of optogenetics on pain. The BDNF/TrkB signaling pathway in the ascending pain modulation system may crucially modulate CPSP in rats. Furthermore, optogenetic therapy could suppress BDNF/TrkB signaling in the ascending pain modulation system, potentially alleviating thalamic hemorrhage-induced Neuropathic Pain (NP). Show less

We aimed to discover the biomarkers associated with UI and their correlation with immune cell infiltration. The GSE165004 data set was extracted from the Gene Expression Omnibus and IRGs were obtained from Immport and InnateDB databases. Differential expression analysis, WGCNA, and three machine learning algorithms (LASSO, SVM, and random forest) were used to determine the immune-related hub biomarkers for UI. The diagnostic performance of these markers was evaluated in GSE165004 and validation set (GSE16532). Furthermore, single-sample GSEA was employed to analyze the infiltration level of immune cells and Spearman analysis was conducted to assess the correlation between biomarker and immune cells. The functional enrichment and potential drugs for each biomarker were explored. The biomarker genes were validated in clinical samples by real time PCR assay. Six shared genes (ANXA2, CD300E, IL27RA, SEMA3F, GIPR, and WFDC2) were identified as diagnostic biomarkers by integration analysis. ROC analysis revealed that these markers had diagnostic value for UI both in training and validation sets. Moreover, these biomarkers are closely associated with immune cells, such as natural killer T cells and effector memory CD8 T cells. GSEA analysis showed that these genes were mainly involved in chromosome and mitochondria-related biological functions. Drug prediction indicated that all genes targeted Benzo(a)pyrene. All the biomarker genes, expect for GIPR were differentially expressed in endometrium tissues of UI patients, compared with controls. This study identified immune-related diagnostic biomarkers in UI, providing new insights into understanding the molecular mechanisms and therapeutic targets of UI. Show less

Osteosarcoma demonstrates limited responsiveness to PD-1 blockade, largely due to its immunosuppressive tumor microenvironment (TME). The specific mechanisms by which cancer-associated fibroblasts (CAFs) contribute to immunosuppression in osteosarcoma are not fully understood. We performed single-cell RNA sequencing (scRNA-seq) on osteosarcoma tissues from patients treated with neoadjuvant chemotherapy and anti-PD-1 therapy to investigate the tumor microenvironment. Cellular composition, gene expression programs, and signaling pathways were analyzed. Functional assays, pull-down and PLA-flow binding validation, and in vivo mouse models were used to dissect the mechanisms by which CAF-derived factors influence CD8⁺ T cell function and contribute to immunotherapy response. We identified a subpopulation of CD36⁺ CAFs, characterized by adaptive uptake of oxidized low-density lipoprotein (OxLDL) and activation of the PPARG-FABP4 axis. This metabolic program promoted ANGPTL4 secretion, which bound integrin on CD8⁺ T cells and activated the JAK2-STAT3 pathway, leading to T cell exhaustion and impaired effector function. In vivo, administration of VitE effectively scavenged OxLDL, reprogrammed the TME, enhanced CD8⁺ T cell infiltration, and synergized with PD-1 blockade to improve tumor control. CD36⁺ CAFs drive immunosuppressive metabolic reprogramming via the OxLDL-PPARG-ANGPTL4 axis, promoting CD8⁺ T cell exhaustion and resistance to immunotherapy in osteosarcoma. Targeting this pathway with VitE alleviated CAF-mediated immune suppression and enhanced PD-1 blockade responses in preclinical models, providing a rationale for metabolism-based combinatorial strategies in osteosarcoma. Show less

Excessive inflammation is a capital cause of scar formation and inflammation microenvironment that result in challenge of axonal regeneration after spinal cord injury (SCI). Macrophages and astrocytes play important roles in the inflammatory response. Tip cells, a critical endothelial sub-population, play pivotal roles in post-injury vascular regeneration. Nevertheless, their characteristics in SCI remain poorly documented. This study based on single cell RNA sequencing (scRNA-seq) and in vitro experiment, investigates the effects of tip cells on astrocytes and macrophages. For astrocytes, tip cells can recruit astrocytes to migrant, contribute to the formation of fence-like structure of astrocytes, finally inhibit the diffusion of inflammation via the Angptl4-Sdc4 ligand-receptor pathway. For macrophages, similarly through the Angptl4-Sdc4 ligand-receptor pathway, tip cells can promote macrophages to polarize more toward the M2 phenotype and inhibit their polarization toward M1 phenotype, thus alleviate the inflammatory response. Tip cells after SCI exhibit conserved ribosomal protein expression, implicating ribosome-dependent signaling in their function. These finding highlight the critical role of tip cells in microenvironment after SCI, offering a potential treatment target for SCI. Show less

The prognosis for colorectal cancer (CRC) patients with liver metastasis remains poor, and the molecular mechanisms driving CRC liver metastasis are not fully understood. Tumor-derived hypoxia-induced extracellular vesicles have emerged as key players in inducing angiogenesis by transferring noncoding RNAs. However, the specific role of CRC-derived hypoxic extracellular vesicles (H-EVs) in regulating premetastatic microenvironment (PMN) formation by inducing angiogenesis remains unclear. Our study demonstrates that H-EVs induce angiogenesis and liver metastasis. Through microRNA microarray analysis, we identified a reduction in miR-6084 levels within H-EVs. We found that miR-6084 inhibited angiogenesis by being transferred to endothelial cells via EVs. In endothelial cells, miR-6084 directly targeted angiopoietin like 4 (ANGPTL4) mRNA, thereby suppressing angiogenesis through the ANGPTL4-mediated JAK2/STAT3 pathway. Furthermore, we uncovered that specificity protein 1 (SP1) acted as a transcription factor regulating miR-6084 transcription, while hypoxia-inducible factor 1A (HIF1A) decreased miR-6084 expression by promoting SP1 protein dephosphorylation and facilitating ubiquitin-proteasome degradation in SW620 cells. In clinical samples, we observed low expression of miR-6084 in plasma-derived EVs from CRC patients with liver metastasis. In summary, our findings suggest that CRC-derived H-EVs promote angiogenesis and liver metastasis through the HIF1A/SP1/miR-6084/ANGPTL4 axis. Additionally, miR-6084 holds promise as a diagnostic and prognostic biomarker for CRC liver metastasis. Show less

Dormant lung adenocarcinoma (LUAD) cells in the bone microenvironment can re-emerge as metastatic disease through osteoclast interactions. Using a 3D dormancy model and a mouse bone metastasis model, this study reveals that arachidonic acid (AA) is the initiating molecule transferred from osteoclasts to dormant LUAD cells, triggering their activation. Dormant LUAD cells uptake AA through CD36, which activates the PPARγ-ANGPTL4 pathway and activates tumor cells. There is a dose-response relationship in the activation effect of AA, and inhibiting AA metabolism prevents this reactivation. The study also finds that the serum levels of AA and ANGPTL4 are significantly elevated in patients with clinical bone metastases compared to those without. This research confirms that osteoclasts transmit AA via the CD36-PPARγ-ANGPTL4 axis to activate dormant LUAD cells, suggesting that AA and ANGPTL4 may serve as valuable biomarkers and potential clinical applications in treatment and prediction of LUAD bone metastasis. Show less

Diabetes mellitus-related erectile dysfunction (DMED) is characterized by complicated pathogenesis and unsatisfactory therapeutic remedies. Glycolysis plays an essential role in diabetic complications and whether it is involved in the process of DMED has not been expounded. The aim of this study was to investigate the genetic profiling of glycolysis and explore potential mechanisms for DMED. Glycolysis-related genes (GRGs) and gene expression matrix of DMED were obtained from the molecular signatures database and gene expression omnibus dataset. Differentially expressed analysis and support vector machine-recursive feature elimination (SVM-RFE) method were both used to obtain hub GRGs. Interactive network and functional enrichment analyses were performed to clarify the associated biological roles of these genes. The expression profile of hub GRGs was validated in cavernous endothelial cells, animals, and clinical patients. The subpopulation distribution of hub GRGs was further identified. In addition, a miRNA-GRGs network was constructed and expression patterns as well as molecular functions of relevant miRNAs were explored and validated. In addition, the relationship between hypoxia and DMED was also uncovered. Based on the combined analysis, 48 differentially expressed GRGs were obtained. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses revealed that these genes were significantly enriched in carbon metabolism and oxidoreductase activities. Then hub GRGs including down-regulated as well as up-regulated genes in DMED were identified ultimately. Among them, We clarified the expression signature of GRGs in DMED based on multi-omics analysis for the first time. It will be significantly important to reveal pathological mechanisms and promising treatments in DMED. Show less

Abdominal aortic aneurysm (AAA) is a life-threatening vascular disease with no effective pharmacological treatments. The causal role of triglycerides (TGs) in AAA development remains unclear and controversial. Mendelian randomization was applied to assess causal relationships between lipoproteins, circulating proteins, metabolites, and the risk of AAA. To test the hypothesis that elevated plasma TG levels accelerate AAA development, we used Mendelian randomization analyses integrating genetic, proteomic, and metabolomic data identified causal relationships between elevated TG-rich lipoproteins, TG metabolism-related proteins/metabolites, and AAA risk. In the angiotensin II infusion AAA model, most These findings identify hypertriglyceridemia as a key contributor to AAA pathogenesis and suggest that targeting TG-rich lipoproteins may be a promising therapeutic strategy for AAA. Show less

Abdominal aortic aneurysm (AAA) is a life-threatening vascular disease without effective medications. This study integrated genetic, proteomic, and metabolomic data to identify causation between increased triglyceride (TG)-rich lipoproteins and AAA risk. Three hypertriglyceridemia mouse models were employed to test the hypothesis that increased plasma TG concentrations accelerate AAA development and rupture. In the angiotensin II-infusion AAA model, most Show less

Pulmonary Hypertension (PH) is a significant contributor to cardiac mortality in Dilated Cardiomyopathy (DCM) patients. Inflammatory processes and oxidative stress play pivotal roles in the advancement of Pulmonary Hypertension (PH). The Monocyte-to-High-- Density-Lipoprotein Cholesterol Ratio (MHR), a newly identified biomarker indicative of inflammatory and oxidative stress, has not been extensively researched in the context of pulmonary hypertension, especially within the scope of dilated cardiomyopathy. Given the reason mentioned above, our research explores the correlation between the MHR and the severity of PH in patients suffering from DCM. In this study, we conducted a retrospective review of medical data from 107 individuals diagnosed with non-ischemic DCM, evaluating their clinical profiles, biochemical indicators, MHR, and echocardiographic parameters. We analyzed the relationships between Pulmonary Arterial Systolic Pressure (PASP) and the Ejection Fraction of the Left Ventricle (LVEF). Utilizing logistic regression analysis, we determined the predictors of PH. Findings indicated that the DCM-PH group exhibited a significantly larger male population and elevated New York Heart Association (NYHA) classification scores (both with p-values <0.001 and 0.01, respectively) compared to the DCM-only group. A positive association was observed between the PASP and parameters, such as the Dimensions of the Left Atrium (LAD) and Left Ventricle in Systole (LVDs), Monocyte (M) levels, Direct Bilirubin (DB), and MHR. Conversely, an inverse relationship was noted with serum lipid profiles, including Total Cholesterol (TC), HDL Cholesterol (HDL-c), and apolipoprotein A1. LVEF demonstrated positive linkage with the same lipid profiles and the Left Ventricular Posterior Wall Thickness (LVPWT) yet showed negative correlations with the NYHA classification, Red Blood Cell Distribution Width Standard Deviation (RDW-SD), Total Bilirubin (TB), Direct Bilirubin (DB), and dimensions of the left ventricle in diastole and systole, as well as MHR. Through logistic regression analysis, several factors were recognized as significant predictors for the severity of PH within the DCM cohort, with weight (OR1.20, CI 1.022-1.409, p=0.026), RDW-SD (OR1.988, CI 1.015-3.895, p=0.045), LVPW (OR3.577, CI 1.307-9.792, p=0.013), LVDd (OR1.333, CI 1.058-1.680, p=0.015), MHR (OR3.575, CI 1.502-8.506, p=0.032), and TB (OR1.416, CI 1.014-1.979, p=0.041) showing positive associations, while apoB (OR0.001 CI0.001-0.824, p=0.045) exhibiting negative associations, all with p-values <0.05. Higher MHR and LVD correlate with increased PASP and reduced LVEF in DCMPH patients. MHR and LVPW are independent predictors of PH severity, indicating their potential as novel severity markers in DCM-related PH. Show less

Citrus pulp (CP) is rich in pectin, which exhibits anti-inflammatory, antioxidant, and hypolipidemic properties. Despite these advantages, the application of CP in aquafeed remains limited. This study investigated the effects of dietary CP inclusion on the glucolipid metabolism of largemouth bass (Micropterus salmoides). Juveniles were fed diets containing varying levels of CP (0%, 3%, 6%, 9%, 12%, or 15%) for 58 days. Adding 3-6% CP in feed has no adverse effect on growth performance. Dietary CP had direct effects on lipid and glucose metabolism. For lipid metabolism, the inclusion of 3-12% CP resulted in reduced serum complement 3, complement 4, total cholesterol and triglyceride levels, as well as low-density lipoprotein cholesterol/high-density lipoprotein cholesterol (LDL-C/HDL-C) ratio. Additionally, the inclusion upregulated the relative expression levels of lipid metabolism-related genes such as ppar-α, cpt-1α, and apoa1, but downregulated the relative expression level of apob in liver. However, higher doses (>12%) of CP led to increased serum LDL-C and HDL-C levels. Regarding glucose metabolism, the inclusion of 3-12% CP enhanced hepatic glucose-6-phosphate dehydrogenase (G6PDH), phosphoenolpyruvate carboxykinase (PEPCK), hexokinase and phosphofructokinase-6 (PFK-6) activities as well as serum insulin, insulin-like growth factor 1, growth hormone, G6PDH, PEPCK, hexokinase and PFK-6 levels. Additionally, the inclusion upregulated the relative expression levels of glucose metabolism-related genes such as glut2, glut4, gk, hk, pk, pfk, pepck, g6pase, fbp1, ir, irs1, and pik3r1 in liver. However, higher doses (>12%) of CP did not improve the indicators of glucose metabolism and even downregulated the relative expression level of irs1. In summary, the recommended dietary inclusion of CP is between 3% and 12%, as this range can enhance lipid and glucose metabolism in largemouth bass, and the addition of 6% CP had the most beneficial effect on the glucolipid metabolism of largemouth bass. © 2025 Society of Chemical Industry. Show less