👤 Lin Shu

Ambient air pollution aggravates cardiovascular-kidney-metabolic (CKM) disorders and sarcopenia, yet the shared genetic and epigenetic mechanisms that underlie their frequent co-occurrence remain poorly understood. We integrated genome-wide association study (GWAS) data for CKM components (cardiovascular disease [CVD], chronic kidney disease [CKD], metabolic syndrome), CKM-related cardiovascular events, and sarcopenia diagnostic criteria from European-ancestry cohorts, and conducted meta-analyses harmonizing each phenotype across at least three studies. We employed Mendelian Randomization (MR) to assess potential causal links and genetic correlation analyses (global and local) to quantify shared heritability. Multi-omics analyses included two sequential phases: Phase 1 identified and validated novel shared CKM-sarcopenia genes through integrated methylation (n = 1980) and expression (n = 31,684) analyses, followed by cross-validation using two complementary transcriptome-wide association studies (TWAS). Phase 2 prioritized druggable targets through proteomic analysis across five independent cohorts (deCODE, n = 35,559; UK Biobank Pharma Proteomics Project (UKB-PPP), n = 54,219; Fenland, n = 10,708; FinnGen Olink, n = 619; FinnGen Somascan, n = 828) and integrated colocalization. MR suggested genetically predicted associations between sarcopenia and CKM; genetically slower walking pace was associated with higher CVD risk (OR = 0.85, P = 9.56 × 10 Ambient air pollution likely promotes CKM-sarcopenia comorbidity chiefly via inflammatory signaling and epigenetic modifications. Our multi-omics integration reveals convergent pathways, candidate driver genes, and differential methylation sites that link these conditions. We propose these targets for environmental mitigation and molecular intervention, which require validation in diverse populations. Show less

To explore the clinical value of D-lactate (D-LA), apolipoprotein B/A1 ratio (APO B/A1) and systemic immune-inflammatory response index (SIRI) in acute pancreatitis (AP) progression and concurrent infectious pancreatic necrosis. This retrospective study included 116 AP patients (Jun 2021 - Dec 2024, Chongqing University Qianjiang Hospital). Patients were assigned to the model group, categorized into bedside indices for severity in acute pancreatitis (BISAP) of mild (n=57), moderate (n=31), and severe (n=28) subgroups. D-LA, APOB/A1, SIRI, and BISAP were compared. Correlations were analyzed via Pearson. Patients were also divided into an infected group (36 cases) and a non-infected group (80 cases) to compare clinical data as well as the above indices. Multivariate logistic regression identified its influencing factors. An external cohort (54 patients) validated the model via ROC and calibration curves. As the severity of AP worsens, D-LA, APO B/A1, and SIRI all increase, and D-LA, APO B/A1, and SIRI were positively correlated with BISAP scores ( D-LA, APO B/A1, SIRI correlate with AP severity and the combined model enables early assessment and personalized measures. Show less

The triglyceride-glucose (TyG) index, an insulin resistance marker linked to the progression of metabolic dysfunction-associated steatotic liver disease (MASLD), underscores the redox imbalance-mediated crosstalk between MASLD and cardiovascular-liver-metabolic health (CLMH), although its causal mechanisms and molecular drivers remain unresolved. We employed a multi-omics framework to integrate Mendelian randomization (MR) and transcriptome-wide association studies (TWAS). MR leveraged 192 genome-wide significant single-nucleotide polymorphisms for TyG from the UK Biobank, employing inverse-variance weighted (IVW) and generalized summary-data MR (GSMR). Transcriptomic integration utilized four approaches: Multi-marker Analysis of GenoMic Annotation for gene-set enrichment; Joint-Tissue Imputation PrediXcan (JTI-PrediXcan) for tissue-specific expression; Sparse Multi-Tissue Imputation Xcan (SMulTiXcan) for cross-tissue meta-analysis; and Fine-mapping of Causal Gene Sets (FOCUS) for Bayesian fine-mapping. Comorbid genes were validated using Functional Summary-based Imputation (FUSION) and prioritized based on the Polygenic Priority Score (PoPS). Single-cell spatial transcriptomics (sc-ST) in embryonic mice (E16.5) mapped tissue-specific expression via genetically informed spatial mapping (gsMap). The MR analysis demonstrated a causal effect of TyG on MASLD risk [IVW: odds ratio (OR) = 1.58, 95% CI = 1.04-2.38, P = 0.030; GSMR: OR = 1.43, 95% CI = 1.27-1.61, P = 5.20 × 10 -9 ]. TWAS identified 12 comorbid genes (C2orf16/SPATA31H1, FNDC4, GCKR, GMIP, HAPLN4, LPAR2, MAU2, MEF2B, NDUFA13, NRBP1, TM6SF2, and ZNF513). Independent validation using the FUSION framework confirmed nine TyG-MASLD comorbid genes with genome-wide significant false discovery rate-adjusted associations. Notably, TM6SF2 (TyG-PoPS = 7.2491) and GCKR (TyG-PoPS = 6.7102) showed strong positive associations in TyG, whereas NDUFA13 exhibited negative scores in MASLD (PoPS = -0.5028). Spatial mapping revealed conserved enrichment of APOA1, APOB, and APOC4 (sc-ST, P < 0.001) in murine liver and vascular tissues. Organ-specific analysis showed significant MASLD signals including the liver (sc-ST, P = 6.43 × 10 -5 ), adrenal gland (Cauchy P = 0.0064), and connective tissue (sc-ST, P = 3.29 × 10 -5 ). This study establishes TyG as a causal MASLD driver mediated by redox-sensitive hubs and evolutionarily conserved apolipoproteins, linking hepatic lipid peroxidation to systemic metabolic dysregulation. Targeting these pathways may mitigate dual hepatic-cardiovascular risks, advancing precision therapies for CLMH. Show less

Vascular smooth muscle cell (VSMC)-derived foam cells critically drive atherosclerotic plaque progression, yet their regulatory mechanisms remain incompletely understood. This study aimed to elucidate the pathophysiological role of the VSMC-enriched factor axin interactor, dorsalization-associated (AIDA) in this process and evaluate its therapeutic potential. We utilized VSMC-specific AIDA knockout in male ApoE Show less

C1q/TNF-related proteins (CTRPs) belong to the adipokine family. Here, we aimed to assess the relation of CTRP4 levels in serum and perivascular adipose tissue (PVAT) with coronary artery disease (CAD), and investigate the effect of CTRP4 on atherosclerosis and the underlying mechanisms. CTRP4 levels were examined in serum and epicardial adipose tissue (a major PVAT) from patients with CAD. Atherosclerotic lesions were analysed in CTRP4 CTRP4 levels were lower in serum and epicardial adipose tissue of patients with CAD compared to non-CAD controls. CTRP4 knockout promoted atherosclerosis in ApoE Decreased CTRP4 levels in serum and epicardial adipose tissue are associated with CAD in patients. CTRP4 deficiency promotes the development of atherosclerosis in ApoE Show less

Atherosclerosis is attributable to a series of diabetes-related complications. CAV1 (caveolin 1)-mediated low-density lipoprotein (LDL) particle transcytosis across endothelial cells (ECs) is the initial step of atherosclerosis. MAP1LC3/LC3-interacting regions in the intramembrane domain (IMD) of CAV1 were buried in the caveolae and were not accessible for LC3B interaction, protecting CAV1 from autophagic degradation. However, the CSD domain of CAV1, exposed in the cytosol, directly interacted with a CBM domain of LC3B and inhibited autophagy. Therefore, the peptide IMD-CBM was constructed to induce the selective autophagic degradation of CAV1 and suppress LDL transcytosis in diabetic atherosclerosis. EC-specific expression of IMD-CBM was achieved using adenovirus. IMD-CBM directly interacted with CAV1 and LC3B in ECs, leading to the selective autophagic degradation of CAV1, activation of autophagy, and subsequent inhibition of LDL transcytosis. IMD-CBM promoted the autophagic degradation of CAV1 and consequently reduced the area of atherosclerotic plaques in Show less

Atherosclerosis preferentially develops in regions exposed to disturbed flow, where is more susceptible to trans-endothelial retention of oxidized low-density lipoprotein (ox-LDL) and subsequent vascular inflammation. While 12/15-lipoxygenase (12/15-LOX) is implicated in lipid oxidation, its role in accumulation of oxLDL in disturbed flow areas remains unknown. Human coronary artery endarterectomy specimens and cultured endothelial cells were analyzed for 12/15-LOX expression and localization under disturbed flow. Oxidized phospholipids were quantified via E06 antibody by ELISA, while ROS generation was measured using DCFH-DA. ApoE Disturbed flow upregulated 12/15-LOX expression in endothelial cells. In vitro, disturbed flow increased LDL oxidation and ROS production, both attenuated by 12/15-LOX siRNA or the specific inhibitor baicalein and ML351. Genetic deletion or pharmacological inhibition of 12/15-LOX reduced oxidized lipid deposition in disturbed flow regions. Mechanistically, 12/15-LOX increased ROS production in disturbed flow conditions in a pathway upstream of NAPDH oxidase 2. However, the 12/15-LOX-mediated LDL oxidation was independent of NOX. We identify 12/15-LOX as a hemodynamic-sensitive enzyme that is upregulated under disturbed flow to promote LDL oxidation, which proposes a promising target to mitigate atherosclerosis especially in disturbed flow areas. Show less

Liver metastasis is the predominant cause of mortality among individuals diagnosed with colorectal cancer (CRC). However, the mechanisms underlying the tumor-microenvironment interactions that promote this process remain poorly defined. Here, we developed an integrative multiomics framework to dissect the cellular and molecular determinants of colorectal cancer liver metastasis (CRLM). By analyzing 1,156 metastasis-associated genes, we identified three molecular subtypes with distinct prognostic and immunometabolic features: C1 with mixed phenotypes and favorable survival, C2 with metabolic activation and immune suppression, and C3 with immune activation and signaling dysregulation, which had the poorest outcomes. Mechanistically, we discovered that SPP1⁺ macrophages secrete PDGFB, which activates PDGFRB signaling in FADS1⁺ tumor cells to trigger epithelial-mesenchymal transition (EMT) and promote liver metastasis. This macrophage-tumor crosstalk was validated by single-cell transcriptomics, genetic perturbation, and coculture experiments. Collectively, our findings define a macrophage-derived PDGFB-PDGFRB axis that drives CRC liver metastasis and highlight a potential therapeutic target for overcoming metastatic progression and immune resistance. Show less

Anxiety and depression are highly comorbid mental health disorders with heterogeneous symptom patterns and poorly understood transdiagnostic mechanisms. This study aims to characterize latent subgroups, risk factors, and symptom-level interactions underlying depression-anxiety comorbidity across adolescents and adults in multi-ethnic Southwest China. The study included a total of 41,394 adolescents (aged 9-19) and 17,345 adults (aged 18-80). Adolescents were recruited using multistage stratified cluster sampling, whereas adults were recruited by convenience sampling. All participants completed a self-designed sociodemographic questionnaire, the Patient Health Questionnaire-9 (PHQ-9), and the Generalized Anxiety Disorder-7 (GAD-7). Latent profile analysis identified subgroups, logistic regression analyzed risk/protective factors, and network analysis mapped symptom interactions and bridge nodes. This study found that three adolescent profiles emerged: high (11.66 %), moderate (31.95 %), and low/no depression-anxiety (56.39 %). Adults were classified into low/no comorbidity (90.63 %) and comorbid depression-anxiety (9.37 %). Risk factors for adolescents included female gender (OR = 2.77, 95 %CI: 2.55-3.00; OR = 1.59, 95 %CI: 1.52-1.67), higher grade levels (OR = 3.45, 95 %CI: 3.10-3.84; OR = 3.56, 95 %CI: 3.33-3.80), smoking (OR = 1.72, 95 %CI: 1.51-1.96; OR = 1.28, 95 %CI: 1.17-1.41),drinking (OR = 2.45, 95 %CI: 2.23-2.70; OR = 1.66, 95 %CI: 1.55-1.77), family instability (OR = 1.16, 95 %CI: 1.02-1.31; OR = 1.33, 95 %CI: 1.14-1.56) and "other" ethnic minority (OR = 1.15, 95 %CI: 1.04-1.26). For adults, female gender(OR = 1.68; 95 %CI: 1.44-1.97), living alone(OR = 1.37; 95 %CI: 1.14-1.65), poor self-rated health (OR = 0.13, 95 %CI: 0.11-0.15), and Dai ethnicity (OR = 0.70, 95 %CI: 0.49-0.96) predicted comorbidity. Network analysis revealed distinct bridge symptoms: adolescents in the high depression-anxiety group had five symptoms: depressed or sad mood (phq2), psychomotor agitation/retardation (phq8), nervousness or anxiety (gad1), restlessness (gad5), and irritable (gad6); however, adults with comorbidity had one symptom: afraid something will happen (gad7). This study identified three patterns of depression-anxiety comorbidity in adolescents and two in adults. Efforts should prioritize adolescents from "other" ethnic minorities, strengthening family and peer support, as well as smoking and drinking interventions for adolescents, and addressing social isolation, physical health, and catastrophizing cognition in adults may mitigate the comorbidity burden. Show less

Hepatic intercellular communication is the driving force for the progression of chronic Hepatitis B virus (CHB)-associated hepatopathologies, with the dynamic molecular mechanisms largely unknown. Combining scRNA-seq and spatial transcriptomic analysis, the kinetic landscape of the liver microenvironment across time and space in AAV-HBV mice, which develop from inflammation to ultimately hepatocellular carcinoma is generated. Kupffer cells (KCs), originally resided within the peri-portal area, are persistently recruited to the HBV-enriched peri-central region via increased CXCL9 produced by endothelial cells, facilitating the interaction between KCs and HBV Show less

Animal models are used widely to study pulmonary hypertension (PH). The cell populations that respond to disease-inducing stimuli in these models and their relationship to human disease remain incompletely defined. This study analyzed the relationship between several rodent models of PH and human disease at single-cell resolution. scRNA-seq was performed on lungs from mice exposed to hypoxia or Sugen/hypoxia, rats exposed to monocrotaline, and controls. A cross-species single-cell dataset was integrated with human lung cell atlas (HLCA) and single-cell dataset from idiopathic pulmonary arterial hypertension (IPAH) to identify overlapping cell subsets between experimental and human disease and species. High levels of overlap were found between species and models of PH, HLCA, and IPAH datasets. Cell subsets perturbed in rat and mouse PH were similar to those found in human disease, with macrophages and endothelial cells being most affected. A novel We established a comprehensive cross-species single-cell atlas of mainstream rodent PH models, highlighting several novel macrophage and endothelial subtypes and signaling motifs potentially contributing to human disease. Show less

This study aims to comprehensively analyze the genetic characteristics and prognostic value of stemness- and epithelial-mesenchymal transformation (EMT)-related gene signatures in lung adenocarcinoma (LUAD). The RNA-sequencing transcriptome profiling data and corresponding clinical information of LUAD were procured from TCGA-LUAD and GEO datasets. After screening, we first obtained 1488 stemness- and EMT-related genes. Then 304 hub genes were obtained via WGCNA, of which 52 genes were established to be prognosis-related hub genes. Thereafter, a prognostic model containing 11 genes (ANGPTL4, CCL20, ENO1, FGF2, LGR4, PIM2, S100P, SATB2, SHOX2, ZNF322, and CFTR) was constructed. We demonstrated that a higher risk score was an independent negative prognostic factor in LUAD patients. A nomogram was further constructed to better predict the survival of LUAD patients. More importantly, we found that the low-risk group has a more favorable anti-tumor immune microenvironment and may benefit more from immunotherapy. We finally noticed that the high-risk group was more sensitive to most drugs including drugs commonly used to treat LUAD patients. In conclusion, this study has summarized the alterations and prognostic role of stemness- and EMT-related gene signatures in LUAD and constructed a prognostic model to accurately and stably predict survival and guide individualized treatment decisions. Show less

Cholesterol (CH) plays a crucial role in enhancing the membrane stability of drug delivery systems (DDS). However, its association with conditions such as hyperlipidemia often leads to criticism, overshadowing its influence on the biological effects of formulations. In this study, we reevaluated the delivery effect of CH using widely applied lipid microspheres (LM) as a model DDS. We conducted comprehensive investigations into the impact of CH on the distribution, cell uptake, and protein corona (PC) of LM at sites of cardiovascular inflammatory injury. The results demonstrated that moderate CH promoted the accumulation of LM at inflamed cardiac and vascular sites without exacerbating damage while partially mitigating pathological damage. Then, the slow cellular uptake rate observed for CH@LM contributed to a prolonged duration of drug efficacy. Network pharmacology and molecular docking analyses revealed that CH depended on LM and exerted its biological effects by modulating peroxisome proliferator-activated receptor gamma (PPAR-γ) expression in vascular endothelial cells and estrogen receptor alpha (ERα) protein levels in myocardial cells, thereby enhancing LM uptake at cardiovascular inflammation sites. Proteomics analysis unveiled a serum adsorption pattern for CH@LM under inflammatory conditions showing significant adsorption with CH metabolism-related apolipoprotein family members such as apolipoprotein A-V (Apoa5); this may be a major contributing factor to their prolonged circulation Show less

To date, no meta-analysis has reported on the role of transdermal estrogens combined with Medroxyprogesterone Acetate (MPA) in relation to cardiovascular disease (CVD) risk factors in postmenopausal women. To fill this knowledge gap, a meta-analysis of randomized controlled trials (RCTs) was conducted to assess the effects of transdermal estrogens and MPA on CVD risk factors in postmenopausal women. A systematic literature search was conducted in major databases including PubMed/Medline, Web of Science, SCOPUS, and Embase, from inception to 12 February 2025. The combination of Medical Subject Headings (MeSH) and non-MeSH keywords was used. A total of 14 trials were included in the meta-analysis. The combined eligible trials found that transdermal estrogens combined with MPA significantly decreased total cholesterol (TC) (WMD: -13.37 mg/dL, 95% CI: -21.54 to -5.21, p = 0.001), low density lipoprotein cholesterol (LDL-C) (WMD: -12.17 mg/dL, 95% CI: -23.26 to -1.08, p = 0.031), and apolipoprotein B (ApoB) (WMD: -7.26 mg/dL, 95% CI: -11.48 to -3.03, p = 0.001) compared to the control. No statistically significant associations were observed between transdermal estrogens combined with MPA on triglyceride (TG), high density lipoprotein cholesterol (HDL-C), lipoprotein(a) (Lp(a)), and apolipoprotein A1 (ApoAI). Based on the results of the current meta-analysis, transdermal estrogens combined with oral MPA administration had a beneficial effect on certain CVD risk factors in postmenopausal women, as evidenced by the significant reductions in TC, LDL-C, and ApoB. Show less

The activation of blood monocytes and the infiltration of monocyte-derived macrophages into the vessel walls are the central part of atherosclerosis. However, the mechanisms underlying the processes remain unclear. Here, we report that G-protein signaling modulator 1 (GPSM1) plays a critical role in atherogenesis. We found that GPSM1 expression in lesional macrophages was increased during atherosclerosis development both in mice and humans. Myeloid-specific GPSM1 ablation protects mice against atherosclerosis and reduces aortic inflammation in both Show less

Examining how hypoglycemic medications affect brain function is one of the best approaches to addressing cognitive impairment. In this study, trelagliptin, a dipeptidyl peptidase-4 (DPP4) inhibitor, was utilized to assess memory loss in diabetic rats through fear conditioning tests. Trelagliptin restored fear memory in diabetic rats that had been disrupted over a relatively long period (24 h) or extended period (5 days). Moreover, trelagliptin treatment reduced the higher incidence of neuronal cell death in the cerebral cortex, as observed via Nissl or hematoxylin and eosin staining. Subsequent analyses revealed that diabetic rats exhibited elevated levels of inflammatory cytokines (p-IKKα and p-NFκB) and a trend toward oxidative damage, indicated by malondialdehyde (MDA), superoxide dismutase 2 (SOD2), and glutathione peroxidase 4 (GPX4) detection. However, administration of trelagliptin reversed these markers to baseline levels. Additionally, trelagliptin activated p-AMPK, p-AKT, and p-GSK-3β. Notably, trelagliptin upregulated the expression of postsynaptic density protein 95 (PSD95) and synaptotagmin 1 (SYT1) while downregulating amyloid precursor protein (APP) and beta-site amyloid precursor protein cleaving enzyme 1 (BACE1). These findings suggest that trelagliptin alleviates cognitive impairment in diabetic rats, likely through AMPK-AKT-GSK-3β-mediated mitigation of oxidative stress, enhancement of synaptic plasticity, and reduction of Aβ accumulation. Show less

The treatment of functional tricuspid regurgitation (TR) is still controversial. Characterizing the cellular composition of the tricuspid valve and identifying the molecular alterations of each cell type in valves with TR will advance our understanding of the mechanisms of TR and guide improvements in treatment. The authors aimed to investigate the changes in cellular composition and gene expression patterns of cells in regurgitant tricuspid valves and shed light on the mechanisms of functional TR. To improve our understanding of the pathogenesis of functional TR, we performed single-cell RNA sequencing of tricuspid valve from 10 patients, including 5 patients with moderate-to-severe functional TR and 5 nondiseased control subjects. Multiplexed fluorescence was used to detect the spatial distributions of valvular cell states and validated the cell-cell interaction. We assessed the transcriptional profiles of 84,102 cells and identified 6 major cell clusters, along with 25 cell subtypes, in the specimens. Valve interstitial cells (VICs) were the largest population. VICs and lymphoid cells exhibited more heterogeneity in TR patients. VICs exhibited higher transcriptional activity toward matrifibrocyte-like cells and myofibroblast-like cell differentiation, myeloid cells activated immune response, and lymphoid cells promoted fibrosis. In TR, the alternation of COMP-CD47 and FGF2-FGFR1 interaction may occur in TR specimens, which may serve as promising therapeutic targets for TR. Our single-cell atlas highlights the transcriptomic heterogeneity underlying the cell functions and interactions in human tricuspid valves and defines molecular and cellular perturbations in functional TR. We identified VIC clusters with fibrosis activation accumulated in TR valves. Show less

Chemoresistance is one ofthe main challenges for advanced NPCtreatment.We previouslyproved LHX2 transcriptionally regulates FGF1 and promotes cancer progression through activating FGF1/FGFR axis,which prompted us toexplore the potential inhibitors for FGFR to improve the therapy response. RT-qPCR, immunohistochemistry, western blot assayand immunofluorescencewere applied to verify the gene expression levels. Xenograftmodel as well as lung metastasis model was performed forin vitroassays. Flow cytometry and Tunel stainingwere used to determine the apoptosis of NPC cells.The interaction between β-eudesmol and FGFR1/2 was analyzed by Autodock software. β-eudesmol inhibited the growth and metastasisof NPCin vivoandin vitro.In addition,β-eudesmol treatment promoted NPC apoptosis and sensitized NPC to cisplatin. β-eudesmol putatively bound to FGFR and blocked the Akt signaling, STAT3 signalingandERKsignaling,which in turn restrainedABCC1 transcription. β-eudesmol suppressed cell growth, metastasis and chemoresistance in NPC through targetingFGF1/FGFR signaling, thereby blocking the Akt signaling, STAT3 signaling andERKsignaling, as well as down-regulating ABCC1 expression. Our findings provided a novel potential drug for NPC treatment. Show less

Type 2 diabetes mellitus (T2DM) is a metabolic disorder characterized by hyperglycemia and insulin resistance, Migraine is a common chronic neurological disease caused by increased excitability of the central nervous system, both exerting substantial health burdens. However, the shared genetic basis and underlying molecular mechanisms remain largely unexplored. This study integrates single-cell data and Mendelian randomization (MR) analysis to identify comorbidity-associated genes and elucidate potential mechanistic links between these two conditions. Single-cell datasets from T2DM and migraine were analyzed to identify differentially expressed genes (DEGs). MR analysis was employed to prioritize key causal genes, followed by network-based functional characterization, disease-drug association analysis, cell annotation, and pseudo-time trajectory modeling. Analysis of single-cell data identified 2,128 migraine-associated and 3,833 T2DM-associated genes, with 714 genes shared between the two diseases. MR analysis highlighted AP4E1 and HSD17B12 as key regulators implicated in both conditions. Network analysis further linked these genes to lipid metabolism and vesicle transport pathways. Computational predictions revealed common comorbidities, including metabolic dysregulation and chemical-induced liver injury, as well as potential therapeutic agents such as valproic acid and bisphenol A. Single-cell annotation identified six major immune cell types in T2DM (T cells, NK cells, B cells, CD14 monocytes, CD16 monocytes, and dendritic cells), with T cells emerging as central players. In migraine, five immune cell types were identified (CD4 T cells, CD8 T cells, B cells, NK cells, and monocytes), with monocytes being the predominant cell type. Pseudo-time analysis delineated seven subpopulations of T cells and four subpopulations of monocytes, suggesting distinct functional trajectories in disease pathogenesis. However, due to the use of peripheral blood-derived single-cell data, genes primarily expressed in the central nervous system, such as CALCA and RAMP1, could not be detected, limiting the identification of certain migraine-specific pathways. This single-cell data and MR analysis investigation identifies AP4E1 and HSD17B12 as pivotal genetic determinants in T2DM-migraine comorbidity, shedding light on their molecular interplay and potential therapeutic relevance. Show less

Obesity is turning into a more critical problem for public health. Vitamin D The study aims to examine the influence of VD Firstly, a small sample population study was conducted to compare the disparities in serum 25(OH)D A correlation was identified between serum 25(OH)D The study shows that VD Show less

Estrogen receptor-positive (ER+) breast cancer is the most common molecular subtype of breast cancer and is strongly influenced by hormonal and environmental factors. Endocrine-disrupting chemicals (EDCs), which interfere with hormone signaling, have been suggested to contribute to ER+ breast cancer risk, but causal mechanisms remain unclear. We integrated chemical-gene interaction data from the TEDX and CTD databases with large-scale genomic datasets to investigate the relationship between EDC-regulated gene expression and ER+ breast cancer. A total of 5797 EDC-related genes were identified and filtered using cis-expression quantitative trait loci (cis-eQTL) data from eQTLGen. Mendelian randomization (MR) and colocalization analyses were performed using ER+ breast cancer GWAS summary statistics to assess causal associations and shared genetic signals. Interacting EDCs were mapped to colocalized genes. Among 4207 genes with available cis-eQTLs, 50 showed statistically significant associations (FDR < 0.05) with ER+ breast cancer. Of these, 24 genes, including CIRBP, JMJD1C, and TET2, demonstrated strong evidence of colocalization. Key EDCs, such as bisphenol A and phthalates, were identified to interact with multiple high-risk genes, suggesting potential environmental drivers of ER+ breast cancer. This study provides genetic evidence supporting the causal role of EDC-regulated gene expression in ER+ breast cancer. The integration of MR, colocalization, and chemical-gene networks offers a novel framework for identifying environmentally relevant risk factors and contributes to understanding the gene-environment mechanisms underlying hormone-dependent cancers. Show less

This study aimed to examine reticulon 4 (RTN4), neurite outgrowth inhibitor protein expression that changes in high-altitude traumatic brain injury (HA-TBI) and affects on blood-brain barrier's (BBB) function. C57BL/6J 6-8-week-old male mice were used for TBI model induction and randomized into the normal altitude group and the 5000-m high-altitude (HA) group, each group was divided into control (C) and 8h/12h/24h/48h-TBI according to different times post-TBI. Brain water content (BWC) and modified Neurological Severity Score were measured, RTN4 and autophagy-related indexes (Beclin1, LC3B, and SQSTM1/p62) were detected by western blot, immunofluorescence technique, and PCR in peri-injury cortical tissues. The expression of NgR1, Lingo-1, TROY, P75, PirB, S1PR2, and RhoA receptors' downstream of RTN4 was detected by PCR. HA-TBI caused increased neurological deficits including motor, sensory, balance and reflex deficits, increased BWC, earlier peak RTN4 expression and a longer duration of high expression in peri-injury cortical tissues, and enhanced levels of Beclin1, LC3B, and SQSTM1/p62 to varying degrees. Concurrently, the transcription of S1PR2 and PirB, the main signaling molecules downstream of RTN4, was significantly increased. In HA-TBI's early stages, the increased RTN4 may regulate enhanced autophagic initiation and impaired autolysosome degradation in vascular endothelial cells via S1PR2 receptor activation, thereby reducing BBB function. This suggests that autophagy could be a new target using RTN4 intervention as a clinical HA-TBI mechanism. Show less

Early identification of individuals with low advance care planning (ACP) engagement remains a critical component of clinical care. However, we know little about the heterogeneity of ACP engagement at the individual level. This study identified latent subgroups of ACP engagement using latent profile analysis (LPA), and explored their associations with death attitudes. This study recruited 302 end-stage renal disease (ESRD) patients undergoing dialysis. Data included sociodemographic characteristics, the Advance Care Planning Engagement Survey (ACPES; Chinese version), and the Death Attitude Profile-Revised (DAP-R). Based on multidimensional indicators, LPA was employed to identify distinct ACP engagement profiles. Model fit and classification quality in LPA were evaluated based on class sizes and entropy values. All analyses were completed in SPSS 26.0 and Mplus 8.3, with R3STEP and BCH methods employed to uncover underlying patterns and relationships. Among dialysis-dependent ESRD patients, ACP engagement was categorized into two latent profiles: a "low-ACP Engagement" profile (n = 162, 53.6%) and a "high-ACP Engagement" profile (n = 140, 46.4%), with good classification quality (entropy = 0.909). The profile membership was significantly associated with dialysis vintage, and educational level (both This study identifies two distinct ACP engagement profiles among dialysis-dependent ESRD patients. Findings emphasize the need for tailored interventions, particularly for patients with shorter dialysis vintage and lower education level, and highlight the role of death attitudes in shaping ACP engagement. These findings should be interpreted with caution due to the cross-sectional design and single-center setting. Show less

Childhood cancer can disrupt family functioning, increase caregiver psychological distress, and impair caregiver quality of life. While family resilience is crucial for adaptation, most research has focused on individual-level factors, neglecting heterogeneity and multilevel influences on family resilience. Guided by the Social Ecological Model (SEM), this cross-sectional observational study used latent profile analysis (LPA) to identify distinct profiles of family resilience among caregivers of children with cancer and to explore factors associated with these profiles. Between July 2022 and March 2024, 292 caregivers were recruited. Family resilience was measured using the Family Resilience Assessment Scale. LPA was employed to identify resilience profiles, and binary logistic regression was used to explore influencing factors. Two latent profiles were identified: the Low Resources-Low Positivity profile (86%) and the High Internal Resilience profile (14%). The Low Resource-Low Positivity profile demonstrated generally lower scores, especially in utilizing social and economic resources and maintaining a positive outlook. The High Internal Resilience profile showed higher scores across all family resilience dimensions, particularly in communication/problem solving, positive outlook, and meaning-making, while the use of external social and economic resources remained relatively lower. Univariate analysis showed significant differences between profiles in residence, number of siblings, caregiver education, individual resilience, social support, caregivers' physical and psychological well-being and child communication (caregiver-reported). Binary logistic regression identified having more than one child (OR = 3.184, 95% CI: 1.437 ~ 7.057, P = 0.004) and higher individual resilience (OR = 1.095, 95% CI: 1.028 ~ 1.165, P = 0.005) as significant predictors of High Internal Resilience profile. This study identified two distinct family resilience profiles among caregivers of children with cancer. Limited use of social and economic resources was common, while caregiver resilience and having multiple children predicted higher family resilience. Interventions should enhance caregiver coping capacity, support one-child families through peer and family programs, and improve access to social support, flexible employment, and affordable care to strengthen family resilience. Not applicable. Show less

IgA nephropathy (IgAN) is the most common primary glomerulonephritis worldwide. Aging is a major risk factor for progression of IgAN to end-stage renal disease. The purpose of this study was to identify and verify aging-related genes associated with IgAN through bioinformatics analysis. Microarray datasets of GSE93798 and GSE37460 were downloaded from the Gene Expression Omnibus (GEO) database. The aging-related DEGs (AR-DEGs) associated with IgAN were analyzed using R programming software, and then Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed. The PPI network of AR-DEGs was then constructed, and hub genes were ranked using five methods of the cytoHubba plugin in Cytoscape software. CIBERSORT algorithm was used to evaluate immune infiltration and its relationship with hub genes. Next, Nephroseq V5 online platform was used to verify and analyze the mRNA expression patterns of hub genes in IgAN patients and normal controls. A total of 372 differentially expressed genes (DEGs) were identified, of which 158 were upregulated and 214 were downregulated. GO and KEGG enrichment analyses mainly focused on regulation of macrophage-derived foam cell differentiation and PI3K-Akt signaling pathway. Based on the results of PPI network analysis, eight hub genes were identified, including AGT, ALB, CD36, EGF, KDR, LPL, MYC, and PPARGC1A. Immune infiltration analysis indicated that CD36 was closely related to immune cell infiltration. Furthermore, the expression levels of these hub genes were validated using the Nephroseq V5 online platform. Further clinical samples confirmed that CD36 was highly expressed in renal tissues of IgAN patients. These findings provide new insights into potential aging-related genes associated with IgAN, which may contribute to better understanding the pathogenesis of IgAN. CD36 may have diagnostic value for aging-related IgAN. Show less

Follicular development is tightly regulated by the coordinated action of multiple hormones and complex gene regulatory networks in granulosa cells, which play a crucial role in egg production and fertility in hens. Extensive studies have established that Niemann-Pick C2 (NPC2) is a key regulator of cholesterol metabolism and steroid hormone secretion in mammals. However, its specific role in chicken ovarian granulosa cells remains unclear. In this study, cultured chicken ovarian granulosa cells were used to investigate the function of NPC2 through transfection with NPC2 overexpression vectors or small interfering RNAs (siRNAs). The results showed that silencing NPC2 significantly increased the expression of SREBP1, SREBP2, LPL, SCD1, CPT1 and DGAT2 genes involved in lipid synthesis (P < 0.01), and also increased the synthesis of Triglyceride (TG) and Cholesterol (TC) in granulosa cells (P < 0.05), whereas NPC2 overexpression led to a marked reduction in the expression of these indicators of lipid metabolism (P < 0.01). Furthermore, NPC2 knockdown significantly inhibited the production of progesterone (P Show less

Osteosarcoma (OS) is a highly invasive bone tumor that frequently metastasizes to the lungs. This study aims to investigate the role of the Id-1 gene in OS invasion and metastasis, and its relationship with the Snail gene. This study included tissue samples from 12 non-metastatic osteosarcomas and 9 metastatic osteosarcoma patients to examine the expression of Id-1 and Snail using RT-qPCR and analyze their correlation. In cell-based experiments, four osteosarcoma cell lines (Saos-2, U2OS, MG-63, and 143B) and the human osteoblast cell line hFOB 1.19 were cultured. The expression of Id-1 and Snail was evaluated by RT-qPCR and Western blotting.Cells were randomly divided into the Control group, sh-NC group, and sh-Id-1 group using lentiviral infection. Transwell invasion and scratch assays were used to assess cell migration and invasion. WB was employed to detect the expression of Id-1, Snail, and epithelial-mesenchymal transition (EMT)-related proteins (E-cadherin, vimentin, and N-cadherin) in the OS cells of each group. In animal experiments, Tumor formation in each group was evaluated by injecting cells subcutaneously into mice. An osteosarcoma lung metastasis model was established by injecting infected cells into the tibia of mice. Tumor growth and lung metastasis were observed using HE staining. The expression of Id-1, Snail, and EMT-related proteins in osteosarcoma and lung tissues from each group of mice was assessed using Western blot and immunohistochemistry. The expression of Id-1 and Snail was significantly higher in osteosarcoma tissues than in normal bone tissues, and the expression of Id-1 was positively correlated with that of Snail. In cell experiments, downregulation of Id-1 reduced Snail expression and significantly inhibited EMT, as well as the migration and invasion of OS cells (P < 0.05). In animal experiments, compared to the Control group, the sh-Id-1 group mice was no significant change in body weight, but the tumor volume was significantly reduced, and fewer lung metastatic nodules (P < 0.05). HE staining indicated decreased nuclear atypia, reduced invasion and destruction, fewer new blood vessels, and less calcification in the sh-Id-1 group tumors. Immunohistochemistry and WB results showed upregulation of E-cadherin and downregulation of vimentin, N-cadherin, Id-1, and Snail in the sh-Id-1 group (P < 0.05). Downregulation of Id-1 inhibits the EMT process by reducing Snail expression, effectively suppressing the growth, invasion, and lung metastasis of OS. Show less

The human genome is widely transcribed, with part of these transcribed regions producing stably expressed protein-coding or non-coding RNAs. Long intergenic non-coding RNAs (lincRNAs) are significantly differentially expressed in various cell lines and tissues. However, the influence of their transcription events remains unclear. In this study, we constructed a human genomic interaction network and found frequent interactions between lincRNA genes and protein-coding genes that are highly related to the occupancy of RNA polymerase II on the lincRNA gene. Interestingly, in the human genome interaction networks, the degree of lincRNA genes was significantly higher than that of protein-coding genes. The promoter regions of the protein-coding genes interacting with the lincRNA genes are enriched with R-loop structures, indicating that lincRNA may influence the target genes through R-loop structures. These promoters were enriched in more transcription factor binding sites. Furthermore, the whole network and sub-network could be utilized to explore potential biomarkers of leukemia. We found that zinc finger protein 668 (ZNF668), eosinophil granule ontogeny transcript (EGOT), and glutamate metabotropic receptor 7 (GRM7) could serve as novel biomarkers for acute myeloid leukemia (LMAL). Pasireotide acetate (CAS No. 396091-76-2) represents a potential drug for LMAL patients. These results suggested that potential biomarkers and corresponding drugs for cancer could be identified based on lincRNA-promoter network/sub-network topological parameters. Show less

Increasing evidence suggests that metabolic disorders such as obesity are implicated in the development of Alzheimer's disease (AD). The pathological buildup of lipids in microglia is regarded as a key indicator in brain aging and the progression of AD, yet the mechanisms behind this process remain uncertain. The adipokine ANGPTL4 is strongly associated with obesity and is thought to play a role in the advancement of neurodegenerative diseases. This study utilized RNA sequencing to identify differential expression in lipid-accumulating BV2 microglia and investigated the potential mechanism through ANGPTL4 overexpression in BV2. Subsequently, animal models and clinical data were employed to further explore alterations in circulating ANGPTL4 levels in AD. RNA sequencing results indicated a correlation between ANGPTL4 and microglial lipid accumulation. The overexpression of ANGPTL4 in microglia resulted in increased secretion of inflammatory factors, elevated oxidative stress levels, and diminished antiviral capacity. Furthermore, when simulating the coexistence of AD and obesity through combined treatment with Amyloid-Beta 1-42 peptide (Aβ) and Free Fatty Acids (FFA) in vitro, we observed a notable upregulation of ANGPTL4 expression, highlighting its potential role in the interplay between AD and obesity. In vivo experiments, we also observed a significant increase in ANGPTL4 expression in the hippocampus and plasma of APP/PS1 mice compared to wild-type controls. This was accompanied by heightened microglial activation and reduced expression of longevity-related genes in the hippocampus. Clinical data from the UK Biobank indicated that plasma ANGPTL4 levels are elevated in patients with AD when compared to healthy controls. Moreover, significantly higher ANGPTL4 levels were observed in obese AD patients relative to their non-obese counterparts. Our findings suggest that ANGPTL4-mediated microglial aging may serve as a crucial link between AD and obesity, proposing ANGPTL4 as a potential biomarker for AD. Show less

The yak is a symbol of the Qinghai-Tibet Plateau and provides important basic resources for human life on the plateau. Domestic yaks have been subjected to strong artificial selection and environmental pressures over the long-term. Understanding the molecular mechanisms of phenotypic differences in yak populations can reveal key functional genes involved in the domestication process and improve genetic breeding. Here, we re-sequenced 80 yaks (Maiwa, Yushu, and Huanhu populations) to identify single-nucleotide polymorphisms (SNPs) as genetic variants. After filtering and quality control, remaining SNPs were kept to identify the genome-wide regions of selective sweeps associated with domestic traits. The four methods (π, XPEHH, iHS, and XP-nSL) were used to detect the population genetic separation. By comparing the differences in the population stratification, linkage disequilibrium decay rate, and characteristic selective sweep signals, we identified 203 putative selective regions of domestic traits, 45 of which were mapped to 27 known genes. They were clustered into 4 major GO biological process terms. All known genes were associated with seven major domestication traits, such as dwarfism (ANKRD28), milk (HECW1, HECW2, and OSBPL2), meat (SPATA5 and GRHL2), fertility (BTBD11 and ARFIP1), adaptation (NCKAP5, ANTXR1, LAMA5, OSBPL2, AOC2, and RYR2), growth (GRHL2, GRID2, SMARCAL1, and EPHB2), and the immune system (INPP5D and ADCYAP1R1). We provided there is an obvious genetic different among domestic progress in these three yak populations. Our findings improve the understanding of the major genetic switches and domestic processes among yak populations. Show less