👤 Kai Cai

Based on the TCM theory of "phlegm-stasis intermingling", this study aims to investigate the mechanism of Danzha Tongmai Pills(DZTMW) in treating atherosclerosis(AS), focusing on elucidating its in vivo active components, metabolic regulatory effects in serum, hepatoprotective effects, and anti-inflammatory efficacy. An AS model was established in apolipoprotein E knockout(ApoE~(-/-)) mice, which were divided into a normal group, an model group, low/medium/high-dose DZTMW groups, and an atorvastatin positive control group. The normal group was fed a standard diet, while the other groups were fed a high-fat diet to induce AS lesions. During the intervention phase, the groups were administered corresponding drugs or an equal volume of solvent by gavage. A series of tests were conducted after continuous intervention. Ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS) was used to identify the blood-entering components of DZTMW, and liquid chromatography-high-resolution mass spectrometry(LC-HRMS) was employed for non-targeted serum metabolomics analysis. Pearson correlation analysis was used to analyze the correlation between blood-entering components and differential metabolites. Levels of serum lipid [total cholesterol(TC), triglycerides(TG), low-density lipoprotein cholesterol(LDL-C), high-density lipoprotein cholesterol(HDL-C), and free fatty acids(FFA)] and liver function markers [alanine aminotransferase(ALT) and aspartate aminotransferase(AST)] were measured. Liver histopathology and lipid deposition were assessed by HE and oil red O staining, and serum levels of inflammatory factors [lipoprotein-associated phospholipase A2(LP-PLA2), high-sensitivity C-reactive protein(hs-CRP), interleukin-6(IL-6), tumor necrosis factor-alpha(TNF-α), and interleukin-1 beta(IL-1β)] were measured by enzyme-linked immunosorbent assay(ELISA). The results showed that 23 blood-entering components were identified from DZTMW, including three prototype compounds, 20 metabolites, and 142 differential metabolites of serum. Core blood-entering components such as hydroxyl asiatic acid M1 and neocryptotanshinone metabolite were highly/extremely correlated with differential metabolites like 5-hydroxytryptamine, lysophosphatidylcholine(P-18:1/0:0) and sphingomyelin(d18:1/15:0). DZTMW administration at various doses significantly reduced the serum levels of TC, TG, LDL-C, and FFA(P<0.01), increased the HDL-C level(P<0.01), decreased ALT and AST activities(P<0.05, P<0.01), alleviated hepatocyte steatosis and lipid droplet deposition, and down-regulated the expression of inflammatory factors in a dose-dependent manner(P<0.01). The effects of the high-dose DZTMW group were comparable to those of the atorvastatin group. In summary, DZTMW can effectively inhibit the progression of AS in ApoE~(-/-) mice. Its mechanism may involve the regulation of hepatic lipid metabolism by its in vivo active components to ameliorate the "phlegm-turbidity" pathology and reduce liver injury, and the inhibition of systemic inflammation to alleviate the "blood stasis" process. The study can provide a modern biological basis for the theory of "phlegm-stasis intermingling". Show less

Antihypertensive medications (AHMs) may modulate Alzheimer's disease (AD) pathogenesis via cerebrovascular or neuroinflammatory pathways, yet evidence remains conflicting. This study investigated causal associations between AHM use and AD risk, focusing on drug classes, blood pressure status, and apolipoprotein E epsilon 4 (APOE ε4) effects. We integrated genetic causal inference with longitudinal survival analyses in a dual-evidence framework. Mendelian randomization (MR) was used to estimate class-specific causal effects at the population level. To examine effect modification by genetic and clinical factors, we analyzed 532 cognitively normal or mildly impaired older adults in ADNI with baseline assessments, with time-to-AD conversion modeled using Cox regression stratified by hypertension history and APOE ε4 status. Overall antihypertensive use showed no significant association with AD risk in hypertensive individuals (HR = 0.71) or APOE ε4 carriers (HR = 0.72). However, ARBs demonstrated protective associations in APOE ε4 carriers (HR = 0.32, 95% CI: 0.12-0.86). MR analysis supported causal protective effects for angiotensin II receptor blockers (ARBs, OR = 0.94, 95% CI: 0.89-0.98), calcium channel blockers (CCBs, OR = 0.93, 95% CI: 0.90-0.97), and beta-blockers (BBs, OR = 0.92, 95% CI: 0.86-0.98), whereas ACEIs lacked MR support and thiazide diuretics showed no benefit. Our findings reveal class-specific antihypertensive effects on AD risk. ARBs demonstrated the strongest protection, particularly in APOE ε4 carriers, while BBs and CCBs showed neuroprotective benefits. Results suggest AD prevention involves mechanisms beyond blood pressure reduction alone, supporting precision medicine with genotype-guided antihypertensive selection for genetically vulnerable individuals. Show less

This study aims to systematically investigate the multi-target mechanisms of cobalamin in the treatment of ischemic stroke using network pharmacology and molecular docking approaches. We screened databases to identify the targets of cobalamin and performed intersected with with ischemic stroke-related targets to construct a “drug-target-disease” interaction network. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to identify key biological processes and signaling pathways. Additionally, molecular docking simulations were performed to assess the binding affinity between cobalamin and hub proteins. Molecular dynamics (MD) simulations were used to assess the stability of the protein–ligand complexes over a 500 ns simulation period. Additionally, ADME (Absorption, Distribution, Metabolism, Excretion) and blood–brain barrier (BBB) permeability predictions were made using ADMETlab 3.0 and admetSAR 3.0. A total of 95 therapeutic targets of cobalamin for ischemic stroke were identified. Network analysis and molecular docking highlighted eight core targets—ALB, TIMP1, PLG, FN1, AGT, SERPINE1, APOE, and SPP1—with high binding affinities to cobalamin. GO analysis suggested that cobalamin regulates inflammatory responses, post-translational modifications, complement binding, and lipoprotein particle binding. KEGG analysis identified complement and coagulation cascades, the PI3K/AKT pathway, and inflammation-related signaling as central to its therapeutic effects. Molecular docking showed strong binding to ALB and TIMP1, which was further confirmed by MD simulations, with minimal conformational changes. The PLG-cobalamin complex exhibited more fluctuations. ADME analysis revealed low passive permeability, particularly across the blood–brain barrier, but moderate distribution and high plasma protein binding. This study provides evidence that cobalamin may offer neuroprotective effects in ischemic stroke by interacting with key target proteins involved in coagulation, inflammation, and lipid metabolism. The findings highlight the potential of cobalamin as a therapeutic agent, although its limited ability to cross the blood–brain barrier may restrict its oral use. Further experimental validation and development of suitable delivery methods are needed to fully realize cobalamin’s potential in stroke therapy. The online version contains supplementary material available at 10.1038/s41598-026-41564-6. Show less

Benzo[a]pyrene (BaP), a pervasive environmental pollutant, has been implicated in cardiovascular injury, yet its mechanistic contribution to atherosclerosis remains unclear. Here, we combined network toxicology, RNA-seq profiling, molecular simulations, and cellular validation to elucidate BaP-driven vascular effects. Integration of BaP-associated targets with atherosclerosis gene sets identified SPP1 as a key hub. Transcriptomic analysis of aortas from BaP-treated ApoE Show less

Coronary restenosis remains a major challenge following percutaneous coronary intervention (PCI), necessitating the development of effective stent-eluting drugs. Previous studies indicate that scutellarin protects vascular endothelial cells and exhibits anti-thrombotic and anti-platelet effects. Notably, our prior research demonstrated that scutellarin specifically counteracts oxidative stress-driven endothelial dysfunction, a key initiating event in restenosis. This combined evidence strongly suggests its potential against in-stent restenosis (ISR). Therefore, this study explores the efficacy of scutellarin in preventing ISR after PCI. We investigated scutellarin, derived from Erigeron breviscapus, for its potential to prevent ISR following PCI. The efficacy and mechanism of scutellarin were evaluated using both in vivo and in vitro models. An experimental atherosclerosis model was established in APOE In APOE This study establishes the efficacy of scutellarin in mitigating ISR using two complementary in vivo models. Scutellarin-eluting stents in atherosclerotic minipigs overcome translational barriers through full interventional simulation. Furthermore, scutellarin inhibits VSMCs proliferation, migration and promotes autophagy-coordinated apoptosis by the coordinated downregulation of both the Pl3K/AKT and lKKs/NF-κB cascades.These findings highlight scutellarin as a promising candidate for next-generation bioactive stent coatings, bridging phytopharmacology and precision interventional cardiology. Show less

Alzheimer's disease (AD) disproportionately affects women and carriers of the apolipoprotein E ε4 allele (APOE4), yet little is known about how sex and APOE interact to influence white matter (WM) integrity during disease progression. We integrated diffusion MRI and matched blood transcriptomic data to investigate these interactions and their underlying biological mechanisms. WM microstructure was quantified using diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI), and regional vulnerability was assessed with a composite vulnerability score (CVS) derived from associations between diffusion features and AD severity across clinical traits in each of the four sex-APOE groups (female or male, with or without APOE4). Brain parcellation with the Eve atlas revealed regions consistently affected across sex-APOE groups (e.g., parahippocampal and superior temporal gyri) and regions specific to individual groups (e.g., the cingulum in females with APOE4 and the middle frontal gyrus in males without APOE4). Gene co-expression network analysis of the matched blood expression data identified gene subnetworks linked to group-specific regional vulnerability, including a muscle tissue morphogenesis module regulated by NEURL1B and HIST1H2BN associated with middle frontal gyrus vulnerability. These findings demonstrate that sex and APOE genotype jointly shape region-specific WM vulnerability and its molecular signatures in AD. Understanding these interactions provides novel mechanistic insights and may inform precision approaches to drug development, biomarker discovery, and clinical trial design for AD. Show less

The purpose of this study was to estimate the prevalence and number of cerebral microbleeds (CMBs) in a Hispanic and Latino cohort from various self-identified backgrounds and test associations with age, vascular risk factors, APOE (apolipoprotein E), and cognitive function. The 3T brain magnetic resonance imaging exams were obtained on SOL-INCA-MRI (Study of Latinos-Investigation of Neurocognitive Aging-MRI) magnetic resonance imaging study participants, a community-based study. CMB number was counted and categorized as: (1) any CMB, (2) lobar only, (3) deep only, (4) mixed, (5) deep+mixed, and (6) lobar+mixed. We examined whether prevalence of CMBs varied by age, sex, education, Hispanic background, cardiovascular risk factors (hypertension, diabetes, Framingham Risk Score), APOE genotype, and cognition. A total of 2455 participants were included who were 63.0±8.4 years of age, 67.9% women, and 62.2% high school education or higher. CMBs prevalence was 11.7% (8.3% lobar only, 2.0% deep only, 1.4% mixed locations). After adjusting for age, sex, and education, a high Framingham Risk Score was associated with the presence of CMBs of all types, except lobar only. Prevalent stroke/transient ischemic attack was associated with higher likelihood of deep-only CMBs. For participants with cognitive impairment, the adjusted prevalence of mixed CMBs (2.2% versus 1.1%, High vascular risk scores, self-reported history of stroke/transient ischemic attack, and cognitive status were associated with a higher likelihood of CMBs, especially in deep regions. Show less

BackgroundEducation promotes cognitive reserve (CR), potentially buffering Alzheimer's disease pathology (ADP). However, the education-CR relationship may differ by population and genetic background.ObjectiveTo examine education, Show less

Toll-like receptor 9 (TLR9), expressed in both microglia and neurons of the CNS, represents a promising therapeutic target for Alzheimer's disease (AD). While either microglial or neuronal TLR9 activation exerts neuroprotective effects that ameliorate AD pathology and preserve cognitive function, CpG oligodeoxynucleotides (ODNs), the synthetic agonists, cannot cross the blood-brain barrier (BBB). To overcome this, we developed tNCpG, an apolipoprotein E (ApoE)-functionalized polymersome nanocarrier for brain-targeted delivery of CpG ODNs. APP/PS1 transgenic mice, which overexpress human mutant APP/PS1 and are widely used in AD mouse models for preclinical studies, were administered tNCpG intravenously biweekly for 3 months, starting at 4 months of age. tNCpG achieved efficient brain delivery while specifically targeting microglia and neurons. tNCpG treatment enhanced microglial recruitment to and phagocytosis of Aβ plaques, suppressed Aβ production while promoting its degradation, and improved BBB integrity and Aβ efflux. Collectively, these effects significantly reduced cerebral Aβ burden, neuroinflammation, and neurodegeneration, leading to the rescue of cognitive deficits. Our study establishes targeted TLR9 activation via tNCpG as a disease-modifying therapeutic strategy for AD. Show less

Smooth muscle cells (SMCs) exhibit remarkable plasticity, undergoing extensive phenotypic switching to generate a highly heterogeneous population within atherosclerotic plaques. While recent studies have highlighted the contribution of SMC-derived macrophage-like cells to plaque inflammation, the specific molecular drivers governing the transition to these pathogenic states remain poorly understood. Here, we re-analyzed single-cell RNA sequencing data from lineage-traced mice to dissect SMC heterogeneity during atherogenesis. Trajectory analysis revealed that SMCs transdifferentiate into a distinct pro-inflammatory macrophage-like subpopulation (macrophage 4) via an intermediate "stem-endothelial-monocyte" cell state. Integrated gene regulatory network inference and Clinically, IRF7 expression was significantly upregulated in unstable and advanced human atherosclerotic plaques, correlating strongly with inflammatory macrophage burden. These findings identify IRF7 as a critical checkpoint in maladaptive SMC phenotype switching. We demonstrate that IRF7 drives the transdifferentiation of SMCs into a pro-inflammatory macrophage-like state, thereby fueling plaque instability. Consequently, therapeutic strategies capable of inhibiting IRF7-mediated SMC plasticity may prove effective in stabilizing vulnerable atherosclerotic plaques. Show less

Extracorporeal cardiac shock wave (ECSW) therapy enhances the function of endothelial colony-forming cells (ECFCs), but whether it can serve as a preconditioning strategy to enhance myocardial infarction (MI) therapy remains unclear. This study investigated the efficacy and mechanism of intravenously delivered ECSW-preconditioned ECFCs (SW-ECFCs) in a rat MI model. ECFCs were isolated from the bone marrow of ApoE Transcriptomic analysis revealed significant enrichment of the PI3K/AKT pathway in SW-ECFCs. Functionally, ECSW enhanced ECFCs migration, tube formation, proliferation, and VEGF-A secretion, while reducing apoptosis; these effects were largely abolished by PI3K inhibition. In vivo, serum levels of CK, CK-MB, and LDH were significantly elevated in all MI groups compared to the Sham group (P < 0.01), indicating comparable initial injury. However, no significant differences were observed among treatment groups (P > 0.05). SW-ECFCs transplantation significantly improved cardiac function, reduced infarct size, fibrosis, and apoptosis, and enhanced angiogenesis (P < 0.05). These benefits were associated with increased levels of p-AKT, p-eNOS, and BCL-2 protein as well as nitric oxide content, while suppressing the expression of cleaved caspase-3 (P < 0.05). Crucially, all these therapeutic benefits were largely abolished by PI3K inhibition. In conclusion, this study demonstrates that preconditioning ECFCs with ECSW significantly enhances their therapeutic efficacy for myocardial infarction, improving both cardiac function and structural repair. These benefits are mediated primarily through activation of the PI3K/AKT signaling pathway, which augments cell homing, paracrine activity, and survival, thereby providing a novel and promising strategy for cardiac regeneration. Show less

To have maximal benefit, Alzheimer's disease-modifying treatments might need to be started before the onset of clinical symptoms. Mutations of the PSEN1 gene are inherited as fully penetrant, autosomal-dominant traits, which almost always result in the clinical onset of Alzheimer's disease before the age of 65 years. We aimed to evaluate the efficacy, including possible delayed emergence of cognitive impairment, and safety of crenezumab, an anti-amyloid monoclonal antibody, in cognitively unimpaired carriers of the PSEN1 This 5-8-year common-close, double-blind, placebo-controlled, single-centre trial screened kindred members aged 30-60 years from the main health-care site in Medellín, Colombia. Participants who were cognitively unimpaired and carried the PSEN1 619 Colombian API registrants were prescreened, 315 were assessed for eligibility, and 252 were enrolled (crenezumab-carrier, n=85; placebo-carrier, n=84; placebo-non-carrier, n=83; 160 [63%] women and 92 [37%] men) between Dec 20, 2013, and Feb 27, 2017. 237 (94%) completed the trial, with final data collection on March 22, 2022. The annualised rate of change in the API ADAD composite was -1·10 (SE 0·29) in the crenezumab group and -1·43 (0·29) in the placebo group (between-group difference 0·33 [95% CI -0·48 to 1·13]; p=0·43). The annualised rate of change in FCSRT-CI was -0·03 (0·00) in the crenezumab group and -0·04 (0·00) in the placebo group (between-group difference 0·01 [0·00 to 0·02]; p=0·16). All participants had at least one adverse event; serious adverse events occurred in 23 (27%) of 84 in the crenezumab group and 21 (25%) of 84 in the placebo group. No fatalities occurred. Crenezumab therapy administered for 5-8 years did not result in significant benefits on our primary clinical outcomes in cognitively unimpaired participants predisposed to developing ADAD dementia; secondary and exploratory outcomes also showed no significant effect on removal of amyloid plaques or other clinical or biomarker outcomes. Together with the results of other anti-amyloid β trials, robust fibrillar amyloid removal appears necessary for clinical efficacy in people with elevated brain amyloid. This study will further inform the biomarker, cognitive, and clinical trajectory of preclinical ADAD, the risk of clinical progression in amyloid-positive and amyloid-negative mutation carriers, and the size and design of future secondary and primary prevention trials. US National Institute on Aging (NIA), Banner Alzheimer's Institute, Genentech, F Hoffmann-La Roche. Show less

This study utilized a novel Proximity Barcoding Assay to perform high-resolution proteomic profiling of individual plasma extracellular vesicles from 85 patients with advanced high-grade serous ovarian carcinoma (OC) and 95 healthy controls (HC). Single-EV analysis identified 119 differentially expressed proteins and 17 distinct EV subpopulations. Cluster 7 (enriched in integrins ITGB3, ITGB1, and ITGA6) was significantly elevated in OC plasma (4.47% in HC vs. 14.79-15.82% in OC). Machine learning (SVM-RFE, LASSO, Random Forest) identified a diagnostic panel (ITGA6, ITGB2, ILK) achieving exceptional accuracy in distinguishing OC from HC (AUC = 0.999 training; 1.000 validation). Furthermore, risk models incorporating specific protein signatures effectively stratified patients by platinum sensitivity/resistance (9-protein panel: ILK, CDCP1, CD86, CLDN4, CLEC1B, CDHR5, CLDN11, JAM2, FOLH1), lymph node metastasis status (7-protein panel: APOE, CD28, CLDN4, FOLH1, ITGAL, JAML, ULBP3), and post-surgical residual disease burden (4-protein panel: CD44, CLMP, ITGA4, AMIGO1), with Cluster 13 (ITGB1-high) also significantly associated with residual disease. This work demonstrates the power of single-EV proteomics combined with machine learning for non-invasive diagnosis and clinical outcome assessment in advanced ovarian cancer, though the absence of early-stage patients limits its applicability for early detection. Show less

The clinical interpretation of Alzheimer's disease (AD) is frequently complicated by the prevalence of missense variants designated as being of uncertain significance within associated genes. Conventional computational prediction tools often overlook disease-specific pathophysiological contexts and lack pertinence and interpretability. Therefore, the present study aimed to develop a novel, interpretable framework for predicting the pathogenicity of AD missense variants by integrating transcriptomic and proteomic data enrichment patterns with machine learning methods. A cross-sectional variant-level analysis was performed using publicly available databases. Missense variants in APOE, APP, PSEN1, PSEN2, SORL1, and TREM2 reported in AD patients were retrieved from Alzforum and compared with missense variants from individuals without neurological diseases, as cataloged in the gnomAD v2.1.1 non-neuro subset. Variants were annotated with tissue-specific expression, secondary structure, relative solvent accessibility, and other functional features using tools like AlphaFold. Enrichment of specific features was assessed with Fisher's exact tests with Bonferroni correction for multiple comparisons. Given that PSEN1 showed the strongest enrichment signals, six machine-learning algorithms were trained on PSEN1 variants to distinguish AD-associated variants from gnomAD variants, using a 10 × 5 nested cross-validation scheme. External validation was conducted using PSEN1 missense variants from ClinVar annotated as pathogenic/likely pathogenic or benign/likely benign. Model performance was compared with SIFT and PolyPhen-2, and interpretability was evaluated by feature ablation and SHapley Additive exPlanations analyses. AD-associated variants exhibited statistically significant enrichment within some transcriptomic or proteomic features, with PSEN1 contributing significantly to the enrichment observed across these features. Random forest and gradient boosting models achieved high performance in the internal training dataset and maintained high recall in the external validation dataset, outperforming SIFT and approaching the performance of PolyPhen-2. Relative solvent accessibility was the most discriminative individual feature, while regional and topological features provided complementary discriminative power. This integrative, multi-omics framework links disease-specific enrichment patterns with interpretable gene-level machine learning for AD missense variants. The results highlight the importance of expression level, structural context, etc. for PSEN1 variant pathogenicity and may help prioritize variants for functional studies. Further validation in additional genes and independent cohorts is warranted prior to any clinical application. Show less

Apolipoprotein E (ApoE) mediates the bidirectional transport of lipids between cells. In the brain, this includes the transfer of lipids from neurons to glia. ApoE4, a major risk factor for Alzheimer's disease, impairs this transport pathway, increasing risk for neurodegeneration. ApoE2 and ApoE3 Christchurch (ApoE3Ch) confer resistance to disease, yet little is known regarding how these variants affect lipid trafficking. Here, we explored how lipoprotein particles containing different ApoE isoforms affect neuronal health. We demonstrate that ApoE2 and ApoE3Ch particles protect neurons from ferroptosis by extracting oxidized unsaturated lipids through the ABCA7 transporter. ApoE4 particles, on the other hand, exacerbate the effects of these toxic lipids, leading to endolysosomal dysfunction. By reducing the oxidized lipid burden in ApoE4 neurons, ApoE2 and ApoE3Ch particles rescue endolysosomal function and restore defects in neuronal activity caused by excitotoxicity. Our findings reveal how ApoE2 and ApoE3Ch help protect neurons from neurodegeneration. Show less

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by amyloid-beta (Aβ) plaque deposition, neurofibrillary tangles of hyperphosphorylated tau protein, and chronic neuroinflammation, leading to synaptic dysfunction and cognitive decline. Current diagnostic methods rely on clinical symptoms and limited biomarkers, while available treatments only provide symptomatic relief without halting disease progression. MicroRNAs (miRNAs), small non-coding RNAs of 19-22 nucleotides, have emerged as crucial regulators of gene expression through post-transcriptional mechanisms and show distinct dysregulation patterns in AD patients' blood, cerebrospinal fluid (CSF), and brain tissues. Key miRNAs such as miR-132, miR-146a, miR-34a, and miR-125b demonstrate consistent alterations in expression levels, correlating with disease progression and offering potential as non-invasive diagnostic tools. This review comprehensively examines the dual role of miRNAs as diagnostic biomarkers and therapeutic targets for AD. We also provide an analysis of specific miRNA signatures in different biofluids (plasma, serum, CSF) and brain regions that correlate with disease stages, highlighting their potential for early and non-invasive diagnosis. Therapeutically, miRNAs modulate multiple AD-related pathways, including neuroinflammation via NF-κB signaling, Aβ production through BACE1 inhibition, and tau phosphorylation via GSK3β regulation. miRNAs also influence synaptic plasticity, mitochondrial function, and autophagy, presenting multifaceted opportunities for intervention. However, challenges, including miRNA heterogeneity, stability, and targeted delivery, remain critical impediments. Advances in nanocarriers, exosomal miRNAs, and viral vectors show promise in overcoming these obstacles, enabling precise miRNA modulation. In addition, we underscore the need for standardized protocols, further validation in clinical cohorts, and the development of cost-effective detection methods to translate miRNA-based approaches into practical diagnostics and therapies. By integrating miRNA biomarkers with existing diagnostic tools and exploring combinatorial therapeutic strategies, researchers can harness the potential of miRNAs to revolutionize AD intervention, paving the way for early detection and effective treatment of this devastating disease. Show less

Osteosarcoma, the most common primary malignant bone tumor with poor prognosis, underscores the need for a deeper understanding of its molecular mechanisms. Recent studies have highlighted the importance of RNA modifications, including 5-methylcytosine (m5C), in cancer progression, yet the m5C modification landscape in osteosarcoma remains unexplored. Here, we performed transcriptome-wide profiling of m5C modifications in osteosarcoma using meRIP-seq and RNA-seq, analyzing four pairs of osteosarcoma and adjacent normal tissues. Furthermore, through conjunction analyses of meRIP-seq and RNA-seq data, we identified 637 genes with significant changes in both the m5C modification and mRNA levels. Among these, GPRC5B emerged as a key prognostic gene, with its high expression and m5C hypermethylation significantly associated with poor survival in osteosarcoma patients. Functional experiments demonstrated that GPRC5B suppresses apoptosis and promotes osteosarcoma cell proliferation and migration. Mechanistically, NSUN2-mediated m5C modification upregulates GPRC5B expression, and the anti-apoptotic effects of NSUN2 are primarily dependent on its ability to modulate GPRC5B m5C modification and expression. Knockdown of GPRC5B partially rescues the anti-apoptotic effects of NSUN2, highlighting the critical role of GPRC5B in osteosarcoma survival. Our study identified an m5C-dependent NSUN2-GPRC5B regulatory axis, providing insights into osteosarcoma progression and revealing its therapeutic potential. Show less

To assess the feasibility of intravoxel incoherent motion imaging (IVIM) for detecting renal injury in an obese rat model and monitoring renal function after weight-loss therapy. Forty-two male rats were randomly divided into high-fat diet (HF) and standard diet (St) groups ( The D, D* and IVIM is a potential tool for noninvasive and longitudinally detection of early obesity-related renal injury and renal function improvement after weight-loss therapy. The online version contains supplementary material available at 10.1186/s12880-026-02288-1. Show less

Lung adenocarcinoma (LUAD) exhibits substantial heterogeneity in tumor immune microenvironment (TIME) composition, shaping disease progression and therapeutic response. Here, we integrated transcriptomic and clinical data from TCGA-LUAD to develop a TIME-associated prognostic model. LASSO Cox regression identified eight key genes-S100P, CPLX2, CD200R1, LINC01857, CLEC7A, CLEC17A, COL6A5, and CX3CR1- that yielded a risk score separating patients into two groups with distinct immune states. High-risk tumors were characterized by diminished CD4 Show less

Psoriasis and atopic dermatitis (AD) are two prevalent inflammatory skin disorders, each characterized by distinct adaptive immune responses. However, recent evidence suggests that these diseases may share overlapping immune mechanisms, especially concerning keratinocyte function. The specific cytokines that coordinate these inflammatory pathways remain largely undefined. The expression of IL-27 and its receptor was analyzed using data derived from GEO datasets. Imiquimod-induced psoriasis-like and MC903-induced AD-like skin inflammation models were established in wild-type and Il27ra knockout littermates. Skin inflammation was evaluated using clinical scoring, histology, and immunostaining. Flow cytometry was employed to characterize immune cell populations in skin. Expression of relevant cytokines and signaling molecules was assessed using quantitative PCR, bulk RNA sequencing, and Western blotting. We found significantly elevated expression of the IL-27 receptor in the lesional skin of patients with psoriasis or AD. IL-27 receptor-deficient mice exhibited markedly reduced skin inflammation in both psoriasis-like and AD-like murine models. Mechanistic investigations revealed that IL-27 induces tumor necrosis factor-α production via signal transducer and activator of transcription 1 activation in keratinocytes, thereby potentiating inflammatory responses. Our findings identify IL-27 signaling in keratinocytes as a pivotal regulator of skin inflammation in both psoriasis and AD. This highlights IL-27 as a promising therapeutic target for inflammatory skin diseases. Show less

The aim of this study was to investigate the impact of interleukin-27 (IL- 27) gene polymorphism and additional interactions with environmental factors on non-small cell lung cancer (NSCLC) risk based on a Chinese population. SNPStats online software ( http://bioinfo.iconcologia.net/SNPstats ) was used for Hardy-Weinberg equilibrium (HWE) testing. Stratified analysis was performed by logistic regression model to examine the impact of IL- 27 gene SNPs and environmental factors, and additional gene-environment interaction on NSCLC risk. Logistic regression analysis showed a significant association between rs153109, rs181206 and increased NSCLC risk. However, no significant relationship was found between NSCLC risk and rs17855750 or rs40837 genotype with minor allele. Logistic regression also indicated a significant association between smoking status or alcohol consumption and NSCLC risk in this study. We performed crossover analysis to investigate the interaction between two SNPs (rs153109 and rs181206) and two environmental factors (smoking status and alcohol consumption) using logistic regression. We found that ever or current smokers with rs153109- AG or GG genotype have the highest NSCLC risk, compared with never smokers with the AA genotype after covariate adjustment, OR (95%CI) = 3.02 (1.97-5.12), p = 0.012. However, no significant interaction effect was found between rs153109 and alcohol consumption, rs181206 and smoking, rs181206 and alcohol consumption. Our results support an important association of the IL- 27 gene rs153109, rs181206, smoking and alcohol consumption with increased NSCLC risk. We also found a significant impact of an interaction between rs153109 minor allele and ever or current smoking on NSCLC risk. Show less

To investigate the genetic causality between Human blood cell (HBC) traits and sporadic lymphangioleiomyomatosis (sLAM) by mediation joint multi-omics and eQTL Mendelian randomization analysis. Quality control processes were followed to select eligible instrumental variables strongly associated with 35 kinds of HBC traits. Independent cohort of European ancestry with sLAM and lung function genome-wide association study (GWAS) summary statistics were used separately. We utilized a two-step MR approach to explore potential mediators and evaluate the proportion of effect mediated in the associations linking HBC trait candidates to sLAM. Finally MR analysis integrating single cell expression quantitative trait loci (sc-eQTL) from 14 immune cell types with GWAS of sLAM was conducted. Increased level of basophil count was positively associated with higher risk of sLAM (BASO#; OR = 3.878, 95%CI:1.137–13.221, For the first time, this study leverages mediation analysis and multi-omics MR integrated with sc-eQTL data to elucidate the roles of HBC traits, immune cells, inflammatory proteins, VEGF-related proteins and immune cell-specific genes in the pathogenesis of sLAM among the European populations. The online version contains supplementary material available at 10.1186/s13023-026-04224-6. Show less

The quality of informal care for people with dementia (PwD) has gained increasing importance, as most PwD prefer home-based care over institutional placement. However, evidence-based intervention programs tailored to distinct care quality profiles remain limited. Additionally, the absence of clear thresholds to identify PwD receiving low-quality informal care poses a challenge for research and clinical practice. Thus, this study aimed to identify the profiles of quality of care (QoC) among informal caregivers of PwD, explore influencing factors of different profile, and determine the optimal cut-off score of the Exemplary Care Scale (ECS). A cross-sectional survey was conducted. A total of 213 dyads of PwD and their informal caregivers were recruited from memory clinic, rehabilitation clinic, and neurological clinic of a tertiary hospitals and communities in Wuhan, Hubei, China, between July 15, 2023, and July 14, 2024. Latent profile analysis (LPA) was employed to identify QoC profiles. Multinomial logistic regression was performed to explore influencing factors of profile membership. Receiver Operating Characteristic (ROC) analysis was conducted to determine the ECS cut-off score. Three distinct QoC profiles were identified: high (24.41%), moderate (44.60%), and low (30.99%). Among informal caregivers, lower monthly income, insufficient social support, and higher perceived overload were associated with low QoC profile, whereas, better quality of pre-illness relationship with PwD and greater activities of daily living (ADL) of PwD were associated with high QoC. ROC analysis yielded an optimal ECS cut‑off score of 15, with high sensitivity (0.993) and specificity (0.955). This study identified three distinct QoC profiles among caregivers of PwD, underscoring the heterogeneity of informal care quality. The identified predictors and the validated ECS cut‑off score of 15 provide an empirical basis for developing tailored screening tools and targeted interventions for high‑risk caregiver subgroups. Show less

The engagement and burnout profiles of preschool teachers are closely linked to young children's developmental outcomes. This study investigated engagement and burnout profiles among 529 Chinese preschool teachers in relation to their emotional states, varying experiences, and professional backgrounds. The sample predominantly consisted of early-career educators, with 47.8% aged between 21 and 30 years and 33.1% having 0-5 years of work experience. Using a quantitative cross-sectional design and latent profile analysis (LPA), this study identified four distinct profiles: slightly exhausted (48.58%), moderately burned out (18.53%), engaged (25.90%), and highly burned out (6.99%). Positive emotional states, such as enjoyment, were associated with higher work engagement, while anxiety was associated with a higher probability of belonging to burnout profiles. In contrast, perceived career success and negative emotions like anger did not significantly predict work engagement and burnout profiles. Teachers with extensive teaching experience and pre-service early childhood education (ECE) training were more likely to maintain high work engagement. This study highlights the critical role of emotional states and professional ECE training in promoting preschool teachers' work engagement and sustainable practice, particularly among early-career teachers. Show less

Previous research on breast cancer patients has primarily examined singular behavioral indicators, often overlooking the coexistence and interaction between physical activity and sedentary behavior-particularly screen-based sedentary time. This study aims to identify the latent activity pattern categories among breast cancer patients during chemotherapy intervals and explore their associated factors to inform targeted behavioral interventions. A cross-sectional survey was conducted with 292 breast cancer patients undergoing chemotherapy intervals at four general hospitals in Foshan, Guangdong Province. Latent Profile Analysis (LPA) was applied as a person-centered analytic approach to identify distinct activity pattern profiles. Data were collected using a general information questionnaire, the Adult Sedentary Behavior Questionnaire (ASBQ), the Chinese version of the International Physical Activity Questionnaire (IPAQ-SC), the Exercise Self-Efficacy Scale (ESES), the Perceived Social Support Scale (PSSS), and the Hospital Anxiety and Depression Scale (HADS). The activity patterns of breast cancer patients were categorized into three groups: Moderate Activity-Dominant Group (37.33%), Screen-Sedentary High-Risk Group (8.22%), and Activity-Sedentary Coexistence Group (54.45%). Logistic regression analysis showed that, compared to the Moderate Activity-Dominant Group, patients with low exercise self-efficacy and higher anxiety and depression levels were more likely to be classified into the Screen-Sedentary High-Risk Group and Activity-Sedentary Coexistence Group. Higher education levels and being on medical leave were associated with a higher probability of belonging to the Activity-Sedentary Coexistence Group (all Activity patterns in breast cancer patients show significant heterogeneity. Healthcare providers should pay attention to the individual physical activity characteristics of patients and offer personalized physical activity guidance. Tailored interventions that meet the needs of breast cancer patients should be developed to improve health outcomes. Show less

Movement behaviours, including moderate-to-vigorous-intensity physical activity (MVPA), light-intensity physical activity (LPA), sedentary behaviour (SB), and sleep, influence childhood adiposity. However, their collective impact on adiposity from a sex-specific perspective remains underexplored. Our research examined the sex-specific longitudinal associations of 24-h movement behaviours with body mass index (BMI) and abdominal adiposity among children. In the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort study, we repeatedly measured 24-h movement behaviours using wrist-worn accelerometers (ActiGraph GT3x) and assessed adiposity (BMI, abdominal circumference, and MRI-based abdominal fat volumes) at three time points (ages 5.5-6, 7.5-8, and 10-10.5 years) within the same children in a longitudinal design. Compositional multivariable linear mixed-effect modelling and isotemporal substitution were used to estimate the associations. 531 children (49.5% girls) were included in the analysis. Significant interactions between movement behaviours and sex were observed across all outcomes. In girls, higher MVPA relative to other behaviours was linked to lower BMI [-0.8 (-1.5, -0.1) kg/m²] and total abdominal adiposity [-225.5 (-451.6, -2.5) mL], while in boys, longer sleep duration was associated with lower BMI [-1.6 (-3.2, -0.1) kg/m²] and total abdominal adiposity [-624.2 (-1225.6, -31.3) mL]. The isotemporal substitution model showed that replacing 30 min of LPA/SB with MVPA reduced BMI and abdominal circumference by 1-2% and MRI-measured abdominal adiposity by 6-9% in both sexes. However, replacing LPA/SB with sleep reduced BMI and abdominal circumference by 1% and MRI-measured adiposity by 3-6% only in boys, with no changes in girls. These associations were pronounced on visceral adiposity. This study highlights sex-specific associations of movement behaviours with adiposity in school-aged children, with stronger associations observed in MRI-derived measures compared to conventional adiposity indices. Replacing LPA/SB with MVPA reduced BMI and abdominal adiposity in both sexes, with particularly pronounced effects on visceral adiposity. However, sleep replacement benefits were observed only in boys, suggesting the need for gender-sensitive approaches in lifestyle interventions. Show less

Dibutyl phthalate (DBP) is a widely distributed endocrine-disrupting chemical with potential carcinogenic properties, yet its role in head and neck squamous cell carcinoma (HNSC) remains unclear. Here, we applied an integrative framework combining network toxicology, Mendelian randomization (MR), multi-omics analyses, molecular docking, molecular dynamics simulations, and in vitro experiments to elucidate the mechanisms underlying DBP-associated HNSC. Lipoprotein lipase (LPL) was identified as the sole overlapping gene between DBP-related targets and HNSC-associated genes. MR analysis supported a potential causal relationship between LPL and HNSC susceptibility. Expression profiling demonstrated tissue- and cell type-specific patterns of LPL and its dysregulation in HNSC, with associations to tumor stage and prognosis. Genomic analyses revealed that LPL alterations were infrequent and mainly driven by copy number loss. LPL expression positively correlated with immune and stromal infiltration. Enrichment analyses implicated immune regulation and PI3K-AKT signaling. Molecular simulations showed stable DBP-LPL binding. Functionally, DBP promoted SCC9 proliferation and reduced LPL expression, and was associated with transcriptional changes in PI3K-AKT-mTOR-related genes, whereas LPL restoration mitigated these effects. These findings reveal a novel DBP-LPL axis in HNSC. Show less

This study investigated the synergistic effects of combining ferulic acid esterase (FAE)-producing lactobacillus with homofermentative and heterofermentative lactic acid bacteria (LAB) on the fermentation quality, nutrient composition, and aerobic stability of corn stover silage. In this study, five LAB strains were isolated and identified from various silages. Among them, strain AR1 was identified as The results showed that the co-fermentation of homofermentative and heterofermentative strains improved silage fermentation quality. The addition of AR1 to the combination of homofermentative and heterofermentative LAB further enhanced lactic acid and acetic acid production, decreased neutral and acid detergent fiber contents, and improved aerobic stability. Principal component analysis and membership function analysis identified the LPLR group (an equal mixture of AR1, R10, JF2, and R3 at 1 × 10 Show less

Inhibitors of the menin-KMT2A interaction are promising agents for the treatment of KMT2A-rearranged leukemias. We evaluated menin inhibition in patient-derived xenografts of KMT2A-rearranged leukemias with high-risk features. Three acute myeloid leukemias with high-risk fusion partners (mixed-lineage leukemia-10 [MLLT10] and mixed-lineage leukemia-4 [MLLT4]) and two infant acute lymphocytic leukemia (ALL) samples were sensitive to menin inhibition. We also evaluated serial samples from two patients with multiply relapsed ALL. We found that highly pretreated KMT2A::AFF1 ALL samples were much less sensitive compared with cells obtained earlier in the same patients' disease course. Because none of the patients had been treated with a menin inhibitor, resistance in these highly pretreated samples was acquired in the absence of menin-inhibitor exposure. Transcriptomic analysis documented sustained on-target efficacy toward the canonical targets of the menin inhibitor in resistant cells. Targeted genomic analysis documented the emergence of multiple comutations, including RAS pathway and TP53 mutations, although neither was sufficient to induce menin-inhibitor resistance in vitro. Downregulation of KMT3D may account for resistance in one patient; inactivation of KMT2C/D has been reported to result in menin-inhibitor resistance, and KMT2C-edited cells from this patient were selected for in menin-inhibitor-containing growth conditions. Future studies will need to clarify more broadly which genomic/epigenomic alterations drive upfront resistance. Regardless of mechanism, our data support using menin inhibitors upfront or in early lines of therapy before substantial genomic or epigenomic evolution has occurred. Show less

BRCA1-deficient epithelial ovarian cancer (EOC) is reported to respond to poly (adenosine diphosphate-ribose) polymerase inhibitors (PARPis); however, acquired resistance frequently emerges, limiting the long-term clinical efficacy of PARPis. The mechanisms driving acquired PARPi resistance in these patients remain poorly understood. In this study, we performed a systemic screen of epigenetic inhibitors in patient-derived organoids (PDOs) and identified enhancer of zeste homolog 2 (EZH2) as the key driver of PARPi resistance in BRCA1-deficient EOC. We found that in PARPi-resistant cells, intracellular EZH2 translocated from the nucleus to the mitochondria, where it promoted mitochondrial fusion and subsequently prevented PARPi-mediated apoptosis. Mechanistically, we determined that PARPi treatment activated YES1 to phosphorylate EZH2 at the Y728 residue, which promoted the mitochondrial translocation of EZH2 in a TOM20-dependent manner. Using mass spectrometry, we identified MYO19 as a main substrate of EZH2 in mitochondria and found that EZH2 trimethylated MYO19 at the K928 residue to trigger mitochondrial fusion. Moreover, Y728 phosphorylation also increased EZH2 protein stability by hindering TRIM4 binding, thus blocking TRIM4-mediated ubiquitination and subsequent proteasomal degradation. Notably, the efficacy of targeting YES1 or EZH2 to resensitize tumors to PARPis was validated in PDOs, xenograft models and EOC cell lines. Here, our findings reveal a YES1-EZH2-MYO19 post-translational modification cascade, whereby PARPi-induced phosphorylation of EZH2 triggered mitochondrial fusion, and targeting phosphorylated EZH2 rebalanced mitochondrial dynamics and resensitized BRCA1-deficient EOC to PARPis, suggesting a promising therapeutic strategy. Show less