Cerebrospinal fluid amyloid beta 42, total tau, and phosphorylated tau 181 are well accepted markers of Alzheimer's disease. These biomarkers better reflect disease pathogenesis compared to clinical d Show more
Cerebrospinal fluid amyloid beta 42, total tau, and phosphorylated tau 181 are well accepted markers of Alzheimer's disease. These biomarkers better reflect disease pathogenesis compared to clinical diagnosis. Here, we perform a genome wide association study meta-analysis including 18,948 individuals of European ancestry and identify 12 genome-wide significant loci across all three biomarkers, eight of them novel. We replicate the association of biomarkers with APOE, CR1, GMNC/CCDC50 and C16orf95/MAP1LC3B. Novel loci include BIN1 for amyloid beta and GNA12, MS4A6A, SLCO1A2 with both total tau and phosphorylated tau 181, as well as additional loci on chr. 8, near ANGPT1 and chr. 9 near SMARCA2. We also demonstrate that these variants have significant association with Alzheimer's disease risk, disease progression and/or brain amyloidosis. The associated genes are implicated in lipid metabolism independent of APOE, coupled with autophagy and brain volume regulation driven by total tau and phosphorylated tau 181 dysregulation. Show less
Effective real-time monitoring and tracking of lipid droplets (LDs) are essential for the precise diagnosis of atherosclerotic plaques and the assessment of pathological progression. However, viable s Show more
Effective real-time monitoring and tracking of lipid droplets (LDs) are essential for the precise diagnosis of atherosclerotic plaques and the assessment of pathological progression. However, viable strategies for Show less
The Lipoprotein(a) (LPA) rs3798220 and rs10455872 polymorphisms have been indicated to be involved with the coronary heart disease (CHD) susceptibility. However, there are still differences between th Show more
The Lipoprotein(a) (LPA) rs3798220 and rs10455872 polymorphisms have been indicated to be involved with the coronary heart disease (CHD) susceptibility. However, there are still differences between the individual studies. To explore the correlation of LPA gene rs3798220 and rs10455872 polymorphisms and CHD, the current meta-analysis was performed. The random or fixed effect genetic models were used to calculate the pooled odds ratios (ORs) and their corresponding 95 % confidence intervals (CI). A significant association was found between LPA rs3798220 polymorphism and CHD under allelic (OR: 1.488), recessive (OR: 1.543), dominant (OR: 1.534), homozygous (OR: 1.544), heterozygous (OR: 1.498) and additive genetic models (OR: 1.531). There was also a significant association between LPA rs10455872 polymorphism and CHD under allelic (OR: 1.607), dominant (OR: 1.751), heterozygous (OR: 1.723) and additive genetic models (OR: 1.686). LPA rs3798220 and rs10455872 polymorphisms were significantly associated with increased CAD risk. The persons carrying C allele of LPA rs3798220 and G allele of LPA rs10455872 polymorphisms might have higher CHD risk than the T allele of rs3798220 or A allele of rs10455872 carriers. Show less
Gene fusions are common primary drivers of pediatric leukemias and are the result of underlying structural variants (SVs). Current clinical workflows to detect such alterations rely on a multimodal ap Show more
Gene fusions are common primary drivers of pediatric leukemias and are the result of underlying structural variants (SVs). Current clinical workflows to detect such alterations rely on a multimodal approach, which often increases analysis time and overall cost of testing. In this study, we used long-read sequencing (lrSeq) as a proof-of-concept to determine whether clinically relevant (cr) SVs could be detected within a small (n = 17) pediatric leukemia cohort. We show that this methodology successfully determined all known crSVs (n = 5/5) detected through routine clinical testing. This approach also identified crSVs that resulted in the classification of a leukemia genetic subtype for four additional patients (n = 4/12), such as an ins(11;10)(q23.3;p12p12) forming a KMT2A::MLLT10 fusion, that were missed by routine clinical approaches. This study demonstrates the diagnostic potential of lrSeq as an assay for SV detection in pediatric leukemia and supports lrSeq as a valuable tool for the accurate detection of crSVs. Show less
The global aging crisis has increased the risk of atherosclerosis (AS), positioning vascular senescence as a critical therapeutic target. Procyanidin C1 (PCC1), a bioactive polyphenol from hawthorn, d Show more
The global aging crisis has increased the risk of atherosclerosis (AS), positioning vascular senescence as a critical therapeutic target. Procyanidin C1 (PCC1), a bioactive polyphenol from hawthorn, demonstrates dual senolytic and longevity-enhancing effects. This study explored the regulatory role and mechanisms of PCC1 in AS using an ApoE Show less
Alzheimer's disease (AD) is increasingly recognized as a multisystem disorder shaped not only by central neurodegeneration but also by peripheral metabolic and immune dysregulation. Growing evidence h Show more
Alzheimer's disease (AD) is increasingly recognized as a multisystem disorder shaped not only by central neurodegeneration but also by peripheral metabolic and immune dysregulation. Growing evidence highlights the gut microbiota and its metabolites as key modulators of amyloid accumulation, tau phosphorylation, neuroinflammation, and microglial dysfunction. This review aims to synthesize current advances on how plant-derived bioactive compounds modulate AD pathophysiology through microbiota-dependent metabolic and neuroimmune mechanisms, and to establish a systems-level framework linking botanical interventions to gut microbiota remodeling and metabolite signaling. A comprehensive literature survey was conducted using PubMed, Web of Science, ScienceDirect, and Google Scholar, covering publications from 2010 to 2026. Studies investigating gut microbiota, microbial metabolites, and plant-derived bioactive compounds in AD-related metabolic, immune, and neurodegenerative pathways were systematically reviewed and integrated. Plant-derived bioactive compounds, including phytochemicals, polysaccharides, and multi-herb formulations, interact extensively with the gut microbiota, undergoing microbial biotransformation to yield more active metabolites while simultaneously reshaping microbial community structure and metabolite profiles. These bidirectional interactions position the microbiota as a central mediator of plant-derived therapeutic activity. We summarize current evidence on how plant-derived compounds influence AD pathophysiology through microbiota-dependent metabolic and neuroimmune pathways. Major microbial metabolites, including short-chain fatty acids (SCFAs), trimethylamine N-oxide (TMAO), bile acids (BAs), and indole derivatives, are discussed, together with their regulatory roles in signaling networks such as nuclear factor κB (NF-κB), phosphatidylinositol 3-kinase/Akt (PI3K/Akt), cAMP response element-binding protein/brain-derived neurotrophic factor (CREB/BDNF), and triggering receptor expressed on myeloid cells 2 (TREM2)-associated microglial states. We further summarize evidence for synergistic strategies combining plant bioactives with probiotics and highlight advances in microbial biotransformation, precision metabolite modulation, and engineered microbial systems. Finally, future directions integrating multi-omics, personalized microbiota-guided interventions, and synthetic biology are outlined to support the development of targeted, mechanism-based therapies. By framing AD through a gut microbiota-centered perspective, this review provides a unified mechanistic foundation for the development of next-generation interventions based on plant-derived compounds and microbiota regulation. Show less
Brain-derived neurotrophic factor (BDNF) plays an important role in the survival of dopaminergic neurons. Clinical studies have suggested that serum BDNF levels are reduced in patients with Parkinson' Show more
Brain-derived neurotrophic factor (BDNF) plays an important role in the survival of dopaminergic neurons. Clinical studies have suggested that serum BDNF levels are reduced in patients with Parkinson's disease (PD). However, no study has investigated peripheral BDNF levels and BDNF Val66Met polymorphism in the prodromal stage of PD and their relationship with disease conversion. In total, 120 patients with video-polysomnography confirmed isolated REM sleep behavior disorder (iRBD) and 120 healthy controls (HCs) were enrolled. Genetic analyses were performed, and plasma levels of BDNF were measured. All patients with iRBD underwent comprehensive clinical testing, and 107 iRBD patients were prospectively followed up. Plasma BDNF levels were significantly lower in the iRBD group than in HCs (18,878.85 pg/mL vs. 24,649.85 pg/mL, p = 0.002), but no differences were observed in BDNF Val66Met carrier rates between the two groups. Plasma BDNF levels did not differ significantly between BDNF Val66Met carriers and noncarriers. Notably, higher plasma BDNF levels were associated with an increased risk of short-term disease conversion (hazard ratio = 3.418, 95% CI: 1.520-7.684, p = 0.003), whereas BDNF Val66Met carrier rates showed no such association. Our findings suggest that plasma BDNF is significantly associated with iRBD and may likely serve as a prognostic biomarker for the development of neurodegenerative disease. However, the BDNF Val66Met polymorphism may not be involved in the pathogenesis of iRBD as well as phenoconversion in the studied population. Show less
Backfat thickness, a key selection trait in pig-breeding programmes, has traditionally been measured as a homogeneous layer. However, backfat is anatomically structured into three distinct layers, and Show more
Backfat thickness, a key selection trait in pig-breeding programmes, has traditionally been measured as a homogeneous layer. However, backfat is anatomically structured into three distinct layers, and each layer likely contributes differently to carcass quality. In addition, previous studies have shown that the deposition of the third layer of backfat is phenotypically correlated with intramuscular fat (IMF). Therefore, targeted selection for specific backfat layers, particularly the third layer, represents a potential strategy to increase IMF content while maintaining a high lean meat percentage. However, the genetic architecture of these distinct porcine backfat layers remains poorly understood. The aim of this study was to estimate the genetic parameters and identify key candidate genes underlying the three backfat layers. We collected B-mode ultrasound images from 561 Landrace pigs to measure individual layer thickness, followed by DNA extraction, genotyping, genetic parameter estimation, and a genome-wide association study (GWAS). Our measurements showed that the first layer of backfat (FBF) is the thickest, followed by the second (SBF) and the third (TBF) layers. Genetic parameter estimation yielded heritability estimates of 0.37, 0.42, 0.38, 0.34, 0.32, 0.24, and 0.21 for total backfat (BF), FBF, FBF/BF, SBF, SBF/BF, TBF, and TBF/BF, respectively. Through integrated analysis of GWAS, Bayesian fine-mapping, and gene annotation, we identified 15 non-redundant candidate genes associated with different backfat layers. These included two genes (SOAT1 and ACBD6) shared by BF and SBF, LPL for BF and FBF, and CAND1 for TBF and TBF/BF. Additionally, SERPINA12 and SERPINA6 were associated with BF; PRKAG1 and PRDM16 with FBF; EPRS1 and SLC39A10 with FBF/BF; PTGES and CRAT with SBF; and ACLY, CAVIN1, and PDZRN3 with SBF/BF. Our results indicate that each layer is governed by a distinct set of genes, which advances our understanding of the genetic basis of backfat layers in pigs. Show less
We aim to examine prospective associations of longitudinal adherence to antihypertensive medication, A longitudinal cohort using 12-year survey data from wave 8 (2006) to wave 14 (2018) in the Health Show more
We aim to examine prospective associations of longitudinal adherence to antihypertensive medication, A longitudinal cohort using 12-year survey data from wave 8 (2006) to wave 14 (2018) in the Health and Retirement Study, an ongoing national survey recruiting community-dwelling adults aged ≥50 years in the United States. Longitudinal adherence to antihypertensive medication was evaluated during wave 8 (2006) to wave 10 (2010), based on self-reported antihypertensive medication use at each wave. Incident dementia cases were ascertained during wave 10 (2010) to wave 14 (2018) by combining self-reported diagnosis and standardized cognitive batteries, excluding prevalent cases during the medication adherence evaluation period. Cox proportional hazard regression was utilized to assess dementia risk, with adjusted hazard ratios (HR) and 95% CIs calculated, controlling for sociodemographic characteristics, socioeconomic status indicators, lifestyle factors, and clinical conditions, as well as blood pressure measurements. A total of 18 469 participants were screened, after which 11 835 participants (mean [SD] age: 66.2 [10.1] years; men: 40.6%) were included, with 1136 incident dementia cases. After controlling blood pressure and other known risk factors, hypertension participants who persistently adhered to antihypertensive medication during follow-up had a 27% lower dementia risk (HR, 0.73 [95% CI, 0.61-0.87]) than the low adherence group, which was more evident than the associations between baseline antihypertensive medication use and dementia. The difference in dementia risk was insignificant when comparing the high adherence group with the normotension group (HR, 1.03 [95% CI, 0.88-1.21]). The results were consistent in non- Persistently adhering to antihypertensive medication was consistently associated with a lower subsequent dementia risk in community-dwelling middle-aged and older adults. Show less
Apolipoprotein E (APOE) ε4 is the strongest genetic risk factor for Alzheimer's disease (AD). However, it is known that other pathways independent of APOE also play a role in AD. Disentangling APOE-de Show more
Apolipoprotein E (APOE) ε4 is the strongest genetic risk factor for Alzheimer's disease (AD). However, it is known that other pathways independent of APOE also play a role in AD. Disentangling APOE-dependent and independent effects is instrumental for understanding the biology of AD. We conducted an APOE-stratified multi-omic analysis in multiple large datasets to identify AD-associated plasma proteins and metabolites. More than 64% of the identified proteins were not found in non-APOE stratified studies, and 17% of the proteins showed APOE-specific trends. Mitochondrial dysfunction was associated in AD independently of APOE and was accompanied by disruptions in glucose and lipid metabolism and cell death and increased in inflammatory signaling activation. Lipid upregulation was found in AD cases when compared with controls with the same APOE genotype, indicating that additional factors beyond APOE affect lipid regulation and AD risk. These findings may be informative in guiding the development of effective medications for AD. Show less
Diabetes mellitus (DM) is hypothesized to increase the risk of Alzheimer's disease (AD). However, existing studies have yielded conflicting results, with some demonstrating a significant association b Show more
Diabetes mellitus (DM) is hypothesized to increase the risk of Alzheimer's disease (AD). However, existing studies have yielded conflicting results, with some demonstrating a significant association between DM and AD risk while others have not. Therefore, this meta-analysis aimed to systematically evaluate the association between DM and AD risk. Comprehensive searches were conducted in PubMed, Web of Science, and Embase databases to identify cohort or case-control studies investigating the association between DM and AD risk. All eligible studies published before October 2025 were included. The Newcastle-Ottawa Scale (NOS) was used to assess the risk of bias. Hazard ratio (HR) and 95% confidence interval (CI) were pooled as the effect size for meta-analysis. Heterogeneity among studies was evaluated using Cochran's A total of 11 studies involving 3,393,545 participants were included. A meta-analysis revealed that DM was significantly associated with an increased risk of AD (HR = 1.36, 95% CI (1.19, 1.55), This meta-analysis provides compelling evidence that DM is an independent risk factor for AD, offering important implications for clinical practice and future research. However, due to the methodological limitations of this study, the results should be interpreted with caution. Large-scale, high-quality prospective cohort studies are needed to fully investigate the relationship between DM and AD risk. https://www.crd.york.ac.uk/prospero/, identifier CRD420251159844. Show less
Depression is a debilitating psychiatric disorder with high prevalence and suicide risk, imposing significant burdens on global health. Against this global health burden, the active ingredients of Gek Show more
Depression is a debilitating psychiatric disorder with high prevalence and suicide risk, imposing significant burdens on global health. Against this global health burden, the active ingredients of Gekko gecko Linnaeus (AIGG), a traditional Chinese medicine (TCM), have shown empirical antidepressant effects. However, their specific pharmacological mechanisms remain unclear. This study systematically elucidated the antidepressant mechanisms of AIGG by integrating GC-MS-based component analysis, network pharmacology, molecular docking, and a corticosterone (CORT)-induced depressive mouse model. GC-MS identified 10 bioactive compounds (including fatty acids) in AIGG. Network pharmacology screening of 51 potential targets revealed significant enrichment in synaptic transmission and cAMP pathways. Molecular docking confirmed strong binding affinities between AIGG-derived compounds and key targets. In vivo experiments demonstrated that AIGG significantly reversed depression-like behaviors in both forced swim and tail suspension tests, suppressed Interleukin-6 (IL-6), tumor necrosis factor α (TNF-α), and elevated β-nerve growth factor (β-NGF) levels, attenuated neuroinflammatory infiltration and neuronal apoptosis in brain tissue, and upregulated protein expression of protein kinase cAMP-activated catalytic subunit alpha (PRKACA), brain-derived neurotrophic factor (BDNF), and postsynaptic density protein 95 (PSD95). The study confirmed that AIGG alleviates depression by activating the cAMP-PRKACA-BDNF axis to restore synaptic plasticity, providing a novel natural product-based strategy for treatment of the resistant depression. Show less
Hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) are characterized by left ventricular hypertrophy and diastolic dysfunction. Despite overlapping remodeling features, their disti Show more
Hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) are characterized by left ventricular hypertrophy and diastolic dysfunction. Despite overlapping remodeling features, their distinct mechanisms and therapeutic responses remain unclear. This study integrated genetic, imaging, and proteomic data to identify key mediators underlying β1-adrenergic receptor blockers (β1-blockers)-related therapeutic heterogeneity between HHD and HCM. Genetic instruments for β1-blockers were derived from two genome-wide association studies and integrated with cardiac magnetic resonance radiomic traits and plasma proteomic data from the UK Biobank, along with disease outcomes from FinnGen. A refined two-stage network Mendelian randomization framework with pleiotropy-robust estimators identified mediators of treatment response. To further elucidate their biological and clinical significance, additional analyses were performed, including drug-target profiling, molecular docking, adverse events (AEs) assessment, and drug prediction. We identified three types of imaging features and ten mediator proteins that contributed to therapeutic responses in HHD and HCM. These mediators were categorized as either mediating (aligned with therapeutic outcomes) or suppressing (opposing therapeutic outcomes). Left ventricular regional radial strain acted as a suppressing factor in HHD but a mediating factor in HCM, whereas end-diastolic and end-systolic volumes consistently showed suppressing effects in both. Regional myocardial wall thickness also exerted a suppressing role in HCM. Among protein mediators, APOE, CGREF1, ITGA5, LSP1, NOS3, and NPPB were linked to HHD, whereas DUSP13, ITGA11, NID1, and SERPINA4 were related to HCM. Specifically, APOE, ITGA5, NOS3, NPPB, DUSP13, and ITGA11 acted as mediating factors, while CGREF1, LSP1, NID1, and SERPINA4 served as suppressing ones. These findings remained robust after pleiotropy adjustment and other genetic analyses. Molecular docking revealed interactions between ADRB1, the β1-blockers target, and downstream proteins, while drug prediction identified eight potential compounds linked to these mediators. Additionally, AE analyses indicated that some targets, such as DUSP13, could both mitigate and aggravate common AEs while contributing to cardiac therapy. This integrative multi-omics analysis revealed distinct imaging and proteomic mechanisms of genetically proxied β1-blockers in HHD and HCM, providing genetic evidence for differential therapeutic responses and highlighting molecular targets for precision cardiovascular therapy. Show less
Extensive research has documented a high comorbidity prevalence between depression and Internet gaming disorder (IGD). However, the distinct comorbidity patterns in adolescents have not been thoroughl Show more
Extensive research has documented a high comorbidity prevalence between depression and Internet gaming disorder (IGD). However, the distinct comorbidity patterns in adolescents have not been thoroughly investigated. Additionally, the longitudinal dynamics of these comorbidity patterns over time and the specific factors that may drive these transitions remain poorly understood. A total of 3,296 adolescents (1,501 boys; age baseline: 15.17 [1.44] years) were included in the current study. Latent profile analysis (LPA) was used to identify optimal comorbidity patterns of depression and IGD, while random intercept latent transition analysis (RI-LTA) was conducted to assess transitions in the comorbidity patterns over one and a half years and to identify factors influencing these transitions. Three patterns of comorbidity between depression and IGD symptoms were identified: no symptoms, low depression-high IGD symptoms, and high depression-low IGD symptoms. Results indicate that 72 % of individuals exhibited a stable symptom pattern trajectory. From Time 1 to Time 2, the probabilities of remaining in the three patterns were 78.3 %, 31.5 %, and 51.5 %, respectively. Findings also showed that sex, grade levels, boarding status, father's occupation as well as educational attainment, intra-week and weekend screen time, parent-child relationship, and perceived social support influenced the probabilities of transitions between comorbidity patterns in adolescents over time. Adopting targeted interventions for different comorbidity patterns and transitions, while considering specific influencing factors, provides insights into adolescent mental health dynamics and inform more effective prevention and support strategies. Show less
Atherosclerosis is a lipid-driven chronic inflammatory process, in which the functional status of macrophages significantly influences its initiation, progression, and eventual outcomes. Tartrate-Resi Show more
Atherosclerosis is a lipid-driven chronic inflammatory process, in which the functional status of macrophages significantly influences its initiation, progression, and eventual outcomes. Tartrate-Resistant Acid Phosphatase 5 (ACP5) has been shown to be highly expressed in various cancers and serves as a serum biomarker for extensive bone metastasis and poor prognosis. However, its role and underlying mechanisms in atherosclerosis remain largely unknown. In this study, we found that high-fat diet-fed Apoe Show less
Adolescence is a critical period for rapid emotional and cognitive development. Depression and cognitive impairment frequently co-occur in this population, yet their comorbidity patterns and symptom-l Show more
Adolescence is a critical period for rapid emotional and cognitive development. Depression and cognitive impairment frequently co-occur in this population, yet their comorbidity patterns and symptom-level interactions remain insufficiently explored. A total of 2,244 students (mean age = 16.8 ± 0.84 years; 1,218 males, 1,026 females) from a high school in Heilongjiang Province, China, were recruited. Depressive symptoms and cognitive impairment were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D) and the Perceived Deficits Questionnaire–Depression (PDQ-D). Latent profile analysis (LPA) was applied to identify subgroups, followed by network analysis to examine central symptoms (expected influence, EI), bridge symptoms (bridge expected influence, BEI), and network differences (NCT). The optimal LPA model identified three comorbidity subgroups: low, moderate, and high. NCT revealed significant differences in network structure and global strength between the low–moderate (S = 1.514, Adolescent Depression and Cognitive Impairment can be classified into low, moderate, and high comorbidity subgroups. Somatic symptoms emerged as the central symptom, while prospective memory impairment and interpersonal problems were identified as key bridge symptoms, suggesting potential intervention targets for early screening and stratified treatment. Not applicable. The online version contains supplementary material available at 10.1186/s12888-026-07946-w. Show less
Sepsis is a syndrome caused by the host's inflammatory response to an infection with an unknown mechanism. This study aimed to identify differentially expressed genes (DEGs) potentially involved in th Show more
Sepsis is a syndrome caused by the host's inflammatory response to an infection with an unknown mechanism. This study aimed to identify differentially expressed genes (DEGs) potentially involved in the development and recovery of tracheal injury from septic shock. Nine New Zealand white rabbits were randomized to control (CON), septic shock model (SS), and septic shock norepinephrine treatment (SSNE) groups (each group n = 3). The SS and SSNE groups were injected with lipopolysaccharide to induce septic shock. The SSNE group was administered Ringer lactate with norepinephrine to maintain normal blood pressure. All animals underwent cuffed endotracheal intubation for 2 h. The injured tracheal segment was harvested. RNA sequencing was performed to identify the DEGs, followed by bioinformatics analysis, and pathological staining (both HE and Masson) was performed for pathological evaluation. Bioinformatics analysis included principal component analysis (PCA), gene set enrichment analysis (GSEA), and protein-protein interaction (PPI) network construction. Key findings were validated by qRT-PCR and immunohistochemistry. We obtained 124 upregulated and 28 downregulated DEGs in SS vs. CON groups, along with 60 upregulated and 178 downregulated DEGs in SSNE vs. SS groups. The pathological score showed that trachea tissue in the SS group had the highest score. The protein-protein interaction (PPI) prediction identified APOB and CD36 as the hub genes. The molecular experiments further confirmed that at mRNA and protein levels, APOB was significantly upregulated, while CD36 was significantly downregulated. Subsequent qRT-PCR and immunohistochemical analyses confirmed that APOB expression was significantly upregulated while CD36 was downregulated in the septic shock group, a trend partially reversed by norepinephrine treatment. Our study results suggest that APOB and CD36 may be involved in the pathogenesis of tracheal injury recovery in septic shock patients treated with NE. Not applicable. Show less
This study investigated the impact of This retrospective case-control study involved 628 CAD patients and 628 matched controls without CAD. ApoE genotyping was conducted using PCR-chip technology, and Show more
This study investigated the impact of This retrospective case-control study involved 628 CAD patients and 628 matched controls without CAD. ApoE genotyping was conducted using PCR-chip technology, and genotype and allele frequencies were compared between groups. Multivariate logistic regression analyzed the link between ApoE polymorphisms and CAD risk in populations at middle and high altitudes. The data revealed significant differences in These findings validated that the Show less
To explore the therapeutic mechanism of The active components and disease targets of JZQBR were screened using TCMSP and GeneCards databases, followed by protein-protein interaction analysis and GO an Show more
To explore the therapeutic mechanism of The active components and disease targets of JZQBR were screened using TCMSP and GeneCards databases, followed by protein-protein interaction analysis and GO and KEGG enrichment analyses. In the animal experiments, Network pharmacology identified 65 potential targets, with quercetin, kaempferol, and luteolin as the core components and IL-6, IL-1β, and TNF‑α as the key targets. The targets were enriched mainly in the pathways involving inflammatory responses and diabetic complications. In the JZQBR improves T2DM complicated with hyperlipidemia possibly by multi-target regulation of the inflammation-metabolism network. Show less
Gliomas comprise a heterogeneous group of central nervous system tumors in which gene fusions (GFs) are significant oncogenic drivers and emerging diagnostic and therapeutic biomarkers. In cancer diag Show more
Gliomas comprise a heterogeneous group of central nervous system tumors in which gene fusions (GFs) are significant oncogenic drivers and emerging diagnostic and therapeutic biomarkers. In cancer diagnosis, GF detection largely relies on targeted short-read sequencing fusion panels, such as the Children's Hospital of Philadelphia (CHOP) Fusion Panel (FUSIP). While these panels are effective for detecting recurrent, well-characterized GFs, they are limited to predefined gene sets and cannot identify full-length transcripts. Here, we analyzed 49 high- and low-grade gliomas previously classified as fusion-negative by FUSIP using an untargeted whole-transcriptome RNA sequencing approach with Oxford Nanopore Technologies (ONT) long-read sequencing. This enabled transcriptome-wide fusion discovery of additional known and potentially novel oncogenic GFs beyond panel constraints. Long-read sequencing further allowed direct resolution of full-length fusion transcripts and their associated isoform structures. By integrating GF detection with isoform-level transcript analysis, we identified fusion-associated transcript isoforms with alternative splicing patterns that aligned near reported GF breakpoints, including Show less
Endothelial cells under oxidative stress and inflammation are vital contributors to the progression of atherosclerosis. Although Orientin possesses antioxidant and anti-inflammatory activities, the ef Show more
Endothelial cells under oxidative stress and inflammation are vital contributors to the progression of atherosclerosis. Although Orientin possesses antioxidant and anti-inflammatory activities, the effects of Orientin on oxidized low-density lipoprotein and high glucose (ox-LDL/HG)-triggered endothelial cell injury and diabetes-accelerated atherosclerosis remain unclear. ApoE Show less
Frailty is associated with increased risks of falls, disability, hospitalization, and mortality. The 24-h movement behaviors (24HMB) framework conceptualizes sleep, sedentary behavior (SB), light-inte Show more
Frailty is associated with increased risks of falls, disability, hospitalization, and mortality. The 24-h movement behaviors (24HMB) framework conceptualizes sleep, sedentary behavior (SB), light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) as mutually constrained components of daily time use and may inform frailty prevention and management. This scoping review maps evidence on associations between 24HMB and frailty and identifies methodological gaps to inform future research and nursing practice. This review adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) and follows Joanna Briggs Institute (JBI) guidance. We searched PubMed, Embase, CINAHL, and Web of Science. We included observational studies of adults aged ≥18 years. Exposures were objectively measured or validated self-reported sleep, SB, LPA, and MVPA, including step counts, breaks in SB, isotemporal substitution models (ISM), and compositional data analysis (CoDA). Outcomes were frailty or prefrailty assessed using validated instruments. Quality was appraised with JBI tools. Thirty-three studies showed good methodological quality. Longer SB, particularly prolonged, uninterrupted bouts, was associated with higher frailty. Greater MVPA was consistently associated with lower frailty. Light-intensity physical activity was generally beneficial but often attenuated when MVPA or total activity volume was modeled. Sleep fragmentation and poor sleep quality were associated with frailty. Isotemporal substitution models and compositional data analysis indicated that reallocating sedentary time to MVPA would yield the largest theoretical benefit, followed by reallocating to LPA. Higher daily step counts and more frequent or higher-intensity breaks in SB were associated with lower frailty. Evidence supports a 24-h integrated movement-behavior approach centered on MVPA, combined with reducing prolonged SB and improving sleep quality, for the prevention and nursing management of frailty. The study design and analytical protocol were prospectively registered on the Open Science Framework (OSF). The unique identifier is S39Y4, and the publicly accessible URL is https://doi.org/10.17605/OSF.IO/S39Y4. Show less
Brain metastasis significantly worsens prognosis in late-stage cancer., with Its treatment hindered by the blood-brain barrier (BBB) and an immunosuppressive tumor microenvironment. Within this enviro Show more
Brain metastasis significantly worsens prognosis in late-stage cancer., with Its treatment hindered by the blood-brain barrier (BBB) and an immunosuppressive tumor microenvironment. Within this environment, tumor-associated macrophages (TAMs) represent the predominant immune population. Through their roles in immune modulation, angiogenesis, and tumor invasion, TAMs are critical drivers of disease progression. TAMs are highly heterogeneous. While traditionally categorized into M1 (anti-tumor) or M2 (pro-tumor) phenotypes, this dichotomy is an oversimplification. Recent single-cell studies have revealed a spectrum of functional subpopulations, such as lipid-associated, interferon-responsive, and pro-angiogenic TAMs, with M2-like states typically prevailing to mediate immunosuppression. This review explores the diversity and functions of TAMs in brain metastasis. We first detail their biological characteristics, including origins, heterogeneous subtype classifications (e.g., lipid-associated macrophages that extend beyond the simple M1/M2 dichotomy), and polarization states. We further discuss how polarization is regulated by signaling pathways (e.g., STAT, NF-κB) and microenvironmental factors (e.g., hypoxia, metabolic reprogramming). We examine TAM roles from pre-metastatic niche formation to tumor colonization, using breast and lung cancer brain metastases to illustrate how TAMs disrupt the BBB and facilitate immune evasion through molecules like ANGPTL4 (angiopoietin-like 4) and MMP9. Key pathways of TAM-tumor cell interactions, including neuro-cancer interactions, immune-metabolic regulation, and exosome-mediated communication, are also discussed. Targeting TAMs offers promising therapeutic avenues. These strategies include reprogramming TAMs (e.g., using CSF1R inhibitors), combining TAM-targeted therapy with immune checkpoint inhibitors, and developing novel approaches such as nanotechnology and CAR-macrophages. However, several challenges remain, including TAM heterogeneity, lack of targeting specificity, and the obstacle of BBB delivery. Future research should leverage technologies like single-cell sequencing and spatial transcriptomics to decode TAM heterogeneity, and develop personalized treatments based on biomarkers such as GPNMB and TRAIL, aiming to improve patient outcomes in brain metastasis. Show less
Lecanemab, an anti-amyloid beta (Aβ) protofibril antibody, was introduced in China in 2024, but its real-world performance remains unknown. In this prospective, multicenter study across 21 sites, 261 Show more
Lecanemab, an anti-amyloid beta (Aβ) protofibril antibody, was introduced in China in 2024, but its real-world performance remains unknown. In this prospective, multicenter study across 21 sites, 261 Alzheimer's disease patients (mild cognitive impairment to moderate dementia) received biweekly lecanemab (10 mg/kg). A matched Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort served as comparator. Cognitive tests, plasma biomarkers, and optional amyloid/tau positron emission tomography (PET) were assessed over 6 months. Lecanemab significantly attenuated cognitive decline versus ADNI. Plasma Aβ42, Aβ40, phosphorylated tau 217 (p‑tau217), glial fibrillary acidic protein (GFAP), and ratios showed robust changes; a p‑tau217 reduction correlated with amyloid PET clearance (mean -22.1 Centiloid; 29.2% turned amyloid-negative). Apolipoprotein E (APOE) ε4 non-carriers showed greater improvements. Infusion reactions occurred in 11.1% and amyloid-related imaging abnormalities in 9.2% (1.6% symptomatic), with no stage-related safety differences. Lecanemab was effective and well tolerated in real-world Chinese patients. Plasma p‑tau217 may serve as a sensitive, minimally invasive treatment-response biomarker. Show less
To characterize ultra-processed food (UPF) circulating metabolic signatures associated with Crohn's disease (CD) and to localize key metabolic mediators linking UPF intake to CD risk. Prospective coho Show more
To characterize ultra-processed food (UPF) circulating metabolic signatures associated with Crohn's disease (CD) and to localize key metabolic mediators linking UPF intake to CD risk. Prospective cohort study. Two large multi-center cohorts (UK Biobank [UKB] and Whitehall II [WHII] study) across the UK and an Eastern multi-center cohort ONE-IBD Study from China. UK Biobank discovery cohort (n=10,229) for signature derivation, internal validation cohort (n=91,306), external validation cohort Whitehall-II (n=7,893), and three additional cohorts (two Western and ONE-IBD) for validation of key metabolic drivers. Primary outcomes were UPF-related circulating metabolic signatures and their associations with CD risk; secondary outcomes included evidence supporting causal roles of candidate metabolites and genetic pathways assessed by Mendelian randomization, colocalization, and gene-environment analysis. A UPF metabolic signature of 73 metabolites was constructed and validated across cohorts (Spearman ρ: 0.20-0.25). More pronounced UPF metabolic signature was associated with increased CD risk (HR The adverse effects of UPF on CD risk may be driven by a relative deficiency of protective metabolites such as DHA, apart from additive harm to metabolic depletion. This reframes UPF-related risk and highlighting potential targets for precision nutrition in CD prevention. Show less
The brain is vulnerable to DNA damage and cardiometabolic risk. Yet, whether genetic variation in DNA repair interacts with cardiometabolic factors to explain cognitive variability remains unclear. Pa Show more
The brain is vulnerable to DNA damage and cardiometabolic risk. Yet, whether genetic variation in DNA repair interacts with cardiometabolic factors to explain cognitive variability remains unclear. Participants (n = 376,533) of white-British ancestry from the UK biobank with cognitive, neuroimaging, and whole-exome sequencing data were included. Six cognitive outcomes were assessed: fluid intelligence (FIQ), symbol-digit matching task (SDMT), visual matching (MATCH), trail making (TRAIL1 and TRAIL2), and prospective memory (PMEM). Seven brain regions of interest were assessed: total brain (TBV), grey matter (GMV), left and right white matter (LWM/RWM), left and right hippocampi (LHC/RHC), and white matter hyperintensities (WMH) volumes. A total of 3487 genetic variants across 39 DNA repair genes were tested. SNP and gene/gene-set level associations were tested using regression models adjusted for age, sex, APOE ε4, ancestry, and outcome-specific covariates. Genetic interactions with a multidimensional cardiometabolic risk index (CMRI), encompassing established risk factors, were assessed. We detected 107 genetic variants (mostly extremely rare) across 36 DNA repair genes associated at Bonferroni-significance (p ≤ 1.4 × 10 Show less
To explore the association between apolipoprotein E (APOE) gene polymorphisms and the risk of premature (age of onset: men ≤ 55 years old, women ≤ 65 years old) myocardial infarction (PMI). This study Show more
To explore the association between apolipoprotein E (APOE) gene polymorphisms and the risk of premature (age of onset: men ≤ 55 years old, women ≤ 65 years old) myocardial infarction (PMI). This study retrospectively collected the medical records (age, gender, hypertension, diabetes mellitus, smoking, drinking, and serum lipid) of 379 PMI patients and 628 age-matched non-AMI individuals (controls), from December 2018 to March 2024. The relationship between APOE polymorphisms and PMI was analyzed. 15(1.5%) individuals carried ɛ2/ɛ2, 147(14.6%) had ɛ2/ɛ3, 16(1.6%) presented with ɛ2/ɛ4, 670(66.5%) were ɛ3/ɛ3 carriers, 149(14.8%) had ɛ3/ɛ4, and 10 (1.0%) carried ɛ4/ɛ4. The proportion of ɛ2/ɛ3 genotype was significantly lower in the PMI group than in controls (7.7% vs. 18.8%, p < 0.001), whereas the prevalence of ɛ3/ɛ4 genotype was substantially higher in the PMI group (20.6% vs. 11.3%, p < 0.001). Logistic regression analysis identified some associated factors: smoking (odds ratio [OR]: 3.057, 95% confidence interval [CI]: 2.098-4.455, p < 0.001), hypertension (OR: 4.474, 95% CI: 3.273-6.117, p < 0.001), and dyslipidemia (OR: 1.805, 95% CI: 1.333-2.443, p < 0.001). Additionally, genetic factors were associated with PMI: the APOE ɛ3/ɛ4 genotype (vs. ɛ3/ɛ3, OR: 1.548, 95% CI: 1.038-2.309, p = 0.032) and the presence of ɛ4 allele (vs. ɛ3, OR: 1.521, 95% CI: 1.033-2.241, p = 0.034) were confirmed as independent associated factors. APOE ε3/ε4 genotype was significantly associated with PMI, suggesting that this genotype could serve as a potential genetic marker for PMI risk assessment. Show less
Decline in pulmonary function (PF) and respiratory muscle strength (RMS) is influenced by environmental and genetic factors and is inconsistently linked to cognitive outcomes. This study explores the Show more
Decline in pulmonary function (PF) and respiratory muscle strength (RMS) is influenced by environmental and genetic factors and is inconsistently linked to cognitive outcomes. This study explores the associations between PF, RMS, and cognitive function among community-dwelling older adults in China, analyzing interactions with APOE Ɛ4 and the mediating effect of serum total bilirubin. About 1,081 Hubei Memory and Aging Cohort (HMACS) participants underwent PF (PEF, FEV1 and FVC), RMS (MIP and MEP) assessment, cognitive tests, APOE genotyping, and bilirubin measurement. Multivariate logistic regression and general linear regression were used to analyze associations. Among 1,081 participants (mean age 70.52 ± 5.55 years), 26.1% had cognitive impairment. Lower PF and RMS scores were associated with cognitive impairment. Higher comprehensive PF (c-PF) and RMS indices protected against cognitive impairment (eg, c-PF: OR = 0.482-0.609, PF (especially PEF) and RMS (especially MEP) indices are significantly associated with cognitive function and impairment in older adults, independent of APOE Ɛ4 status. These findings provide biomarkers for assessing cognitive health risk and a basis for interventions targeting PF and RMS to preserve cognitive function. Show less
Zhongxiao Lin, Jianyu Xiong, Fuyuan Zhang+15 more · 2026 · Molecular therapy : the journal of the American Society of Gene Therapy · Elsevier · added 2026-04-24
Vascular senescence is a fundamental driver of age-related cardiovascular diseases, yet the epigenetic mechanisms controlling this process remain poorly understood. This study investigated the role an Show more
Vascular senescence is a fundamental driver of age-related cardiovascular diseases, yet the epigenetic mechanisms controlling this process remain poorly understood. This study investigated the role and underlying mechanisms of lysine acetyltransferase 8 (KAT8), a key histone acetyltransferase, in maintaining endothelial cell homeostasis and preventing vascular senescence. We found that KAT8 expression is consistently downregulated in human aged vessels, senescent rats and mice, and cellular models of aging. Using CRISPR-Cas9-based loss-of-function and gain-of-function approaches in endothelial cells, C57BL/6J mice, and ApoE Show less