To investigate longitudinal changes in pelvic floor support in primiparous women with pelvic organ prolapse (POP) after vaginal delivery, focusing on single- and multiple-compartment involvement. Two Show more
To investigate longitudinal changes in pelvic floor support in primiparous women with pelvic organ prolapse (POP) after vaginal delivery, focusing on single- and multiple-compartment involvement. Two hundred primiparas after vaginal delivery were prospectively enrolled and underwent pelvic floor MRI at six weeks postpartum. POP was diagnosed and classified into subgroups (single or multiple compartments involved) based on MRI findings. Primiparas with POP underwent repeat MRI at four months postpartum. Pelvic floor measurements, including injury score and functional parameters of the levator ani muscle (puborectal hiatus line, H line; muscular pelvic floor relaxation line, M line; levator hiatus area, LHA; iliococcygeus angle, ICA; levator plate angle, LPA), were assessed on MRI. Measurements were compared among POP subgroups and a normal control group (without POP) at six weeks postpartum. Additionally, changes between six weeks and four months postpartum were analyzed within POP subgroups. Based on MRI criteria, approximately 41.5% of primiparas were diagnosed with POP, predominantly cystoceles commonly associated with uterine prolapse. Functional parameters of the levator ani, except for LPA at rest, were significantly increased in POP subgroups compared to controls. At four months postpartum, M line, H line, and LPA significantly decreased, and prolapsed organs were elevated in cases with multiple compartments involved, compared to six weeks postpartum. No significant changes were observed in cases with single-compartment involvement during follow-up. A substantial proportion of primiparas experienced postpartum POP. Impaired levator ani function contributed to POP. Pelvic floor support improved during early postpartum in cases with multiple-compartment involvement. Show less
Cardiovascular diseases (CVDs), including myocardial infarction (MI), heart failure (HF), atrial fibrillation (AF), and arrhythmia, are major contributors to global mortality and often share overlappi Show more
Cardiovascular diseases (CVDs), including myocardial infarction (MI), heart failure (HF), atrial fibrillation (AF), and arrhythmia, are major contributors to global mortality and often share overlapping risk factors and pathophysiological mechanisms. While genome-wide association studies (GWAS) have identified many loci for individual CVDs, the shared genetic architecture across related traits-particularly in East Asian populations-remains underexplored. We integrated large-scale GWAS summary statistics from East Asian populations to perform genome-wide and local genetic correlation analyses across four CVD phenotypes and five cardiometabolic traits (blood pressure and lipid levels). Using stratified LD score regression, we assessed tissue-specific heritability enrichment. Multi-trait analysis of GWAS (MTAG) was then employed to identify pleiotropic loci associated with multiple traits, with functional annotation and expression quantitative trait loci (eQTL) data used to explore biological relevance. We observed extensive genetic correlations among CVDs and between CVDs and cardiometabolic traits, with HF showing the strongest connections to both MI and arrhythmia. Notable genome-wide correlations were found between MI and SBP (rg = 0.35, Our findings provide comprehensive insight into the shared genetic determinants of cardiovascular and metabolic diseases in East Asian populations. The identification of pleiotropic and ancestry-specific loci, along with tissue-specific regulatory patterns, underscores the need for integrative multi-trait and population-informed approaches in cardiovascular genetics and risk prediction. Show less
PALS1-associated tight junction (PATJ) protein is linked to metabolic disease and stroke in human genetic studies. Despite the recognized role of PATJ in cell polarization, its specific functions in m Show more
PALS1-associated tight junction (PATJ) protein is linked to metabolic disease and stroke in human genetic studies. Despite the recognized role of PATJ in cell polarization, its specific functions in metabolic disease and ischemic stroke recovery remain largely unexplored. We explored the functions of PATJ in an in vitro model and in vivo in C. elegans and mice. Using a mouse model of stroke, we found post-ischemic stroke duration-dependent increase of PATJ abundance in endothelial cells. PATJ knock-out (KO) HEK293 cells generated by CRISPR-Cas9 suggest roles for PATJ in cell proliferation, migration, mitochondrial stress response, and interactions with the Yes-associated protein (YAP)-1 signaling pathway. Notably, PATJ deletion altered YAP1 nuclear translocation. PATJ KO cells demonstrated transcriptional reprogramming based on RNA sequencing analysis, and identified dysregulation in genes central to vascular development, stress response, and metabolism, including RUNX1, HEY1, NUPR1, and HK2. Furthermore, we found that mpz-1, the homolog of PATJ, was significantly upregulated under hypoxic conditions in C. elegans. Knockdown of mpz-1 resulted in abnormal neuronal morphology and increased mortality, both of which were exacerbated by hypoxia exposure, indicating a critical protective role of PATJ/MPZ-1 in maintaining neuronal integrity and survival, particularly during oxygen deprivation stress relevant to ischemic stroke. These insights offer a new understanding of PATJ's regulatory functions within cellular and vascular physiology and help lay the groundwork for therapeutic strategies targeting PATJ-mediated pathways for stroke rehabilitation and neurovascular repair. Show less
Infantile hemangioma (IH) is a common benign vascular tumor in infants, often requiring intervention due to potential functional impairment and cosmetic concerns. Propranolol, a nonselective β-adrener Show more
Infantile hemangioma (IH) is a common benign vascular tumor in infants, often requiring intervention due to potential functional impairment and cosmetic concerns. Propranolol, a nonselective β-adrenergic receptor blocker, is the first-line therapy for IH, yet its mechanisms remain incompletely elucidated. This prospective study investigated the systemic angiogenic protein profile changes in response to propranolol in 14 treatment-naïve IH infants compared to 14 healthy controls using antibody array analysis. We identified twenty-six angiogenic proteins significantly downregulated in pretreatment IH patients compared to healthy controls. After 3 months of propranolol treatment, six proteins including HB-EGF, TGFα, ANGPTL4, Follistatin, Tie-1 and PLGF were significantly upregulated. Bioinformatic enrichment analysis revealed that these proteins are involved in key biological processes and signaling pathways, including epithelial cell proliferation, angiogenesis regulation, VEGF signaling, ERBB-EGFR axis, Ras-MAPK, and PI3K-Akt pathways. These results suggest that propranolol treatment is associated with a rebalancing of dysregulated angiogenic proteins in IH, through modulating both pro- and anti-angiogenic factors to rebalance vascular homeostasis. Our study provides novel insights into the systems-level pharmacological actions of propranolol and proposes potential biomarkers for treatment response evaluation. Show less
Accumulation of various genetics and epigenetics alterations are accepted to result in the initiation and progression of hepatocellular carcinoma (HCC), and its high metastasis is viewed as a critical Show more
Accumulation of various genetics and epigenetics alterations are accepted to result in the initiation and progression of hepatocellular carcinoma (HCC), and its high metastasis is viewed as a critical bottleneck leading to its treatment failure. Amongst them, the microRNAs arising from the lack of the antioxidant transcription factor Nrf2 lead to cancer metastasis. However, much less is known about the regulation of microRNAs by Nrf1, even though it acts as an essential determinon of cell homoeostasis by governing the transcriptional expression of those driver genes contributing to the EMT involved in its metastasis. In this study, distinct EMT phenotypes resulted from specific knockouts of Nrf1 and Nrf2 in HepG2 cells, as accompanied by their differential migratory and invasive capabilities. The Show less
Diabetic nephropathy (DN) is the most intractable complication of diabetes. Despite decades of research, accurate diagnostic markers and effective therapeutic drugs are still elusive. Abnormal copper Show more
Diabetic nephropathy (DN) is the most intractable complication of diabetes. Despite decades of research, accurate diagnostic markers and effective therapeutic drugs are still elusive. Abnormal copper metabolism is also implicated in diabetes and its complications. This study aims to identify copper metabolism-related biomarkers and potential drugs for DN. DN datasets and copper metabolism-related genes (CMGs) were obtained from Gene Expression Omnibus (GEO) and GeneCards. Differentially expressed CMGs (DE-CMGs) were identified using the limma package and the Venn algorithm. Functional enrichment analysis and protein-protein interaction (PPI) network were performed to identify candidate hub genes. The single gene with an area under the receiver operating characteristic (ROC) curve > 0.7 was identified as a potential diagnostic biomarker of DN. Finally, these biomarkers were validated by quantitative real-time polymerase chain reaction (qRT-PCR) in high-glucose-treated human proximal tubular (HK-2) cells. These validated hub genes were used to construct a combined prediction model, confirmed by additional GSE30528 and GSE30529 datasets. The correlation analysis between the expression level of the hub genes and the estimated glomerular filtration rate (eGFR) was carried out. Additionally, immune cell infiltration and potential target drugs were investigated for these biomarkers. Five hub genes associated with copper metabolism, namely CD36, CCL2, CASP3, LPL, and APOC3, were identified as biomarkers for the early diagnosis of DN. Utilizing multiple biomarkers enhanced diagnostic accuracy and specificity. CD36, CCL2, and CASP3 correlated negatively with eGFR levels, while LPL and APOC3 correlated positively. Additionally, these hub genes were significantly linked to various immune cell types, including macrophages M1 and M2, T cells, gamma delta resting dendritic cells, neutrophils, and NK cells. Furthermore, 15 agents targeting these biomarkers were retrieved from the DrugBank database. Our study identified key genes possibly related to copper metabolism in the pathological mechanism of DN that could serve as novel targets for the diagnosis and therapy of DN. Show less
Several protein convertase subtilisin/kexin type 9 (PCSK9) inhibitors have been shown to significantly reduce low-density lipoprotein cholesterol (LDL-C) levels in statin-intolerant patients, but none Show more
Several protein convertase subtilisin/kexin type 9 (PCSK9) inhibitors have been shown to significantly reduce low-density lipoprotein cholesterol (LDL-C) levels in statin-intolerant patients, but none have been verified in Chinese patients. This study aimed to evaluate the efficacy and safety of ongericimab, a novel PCSK9 monoclonal antibody, in Chinese statin-intolerant patients with primary hypercholesterolemia or mixed dyslipidemia. This was a randomized, multicenter, double-blind, placebo-controlled phase 3 study designed to enroll 120 statin-intolerant adult patients. Eligible patients were randomly assigned in a 2:1 ratio to receive ongericimab 150 mg or placebo subcutaneously every 2 weeks for 12 weeks in the double-blind treatment period, followed by 40 weeks of ongericimab treatment during the open-label period. The primary endpoint was a percentage change in LDL-C from baseline to week 12. The key secondary endpoints included percentage change from baseline to week 12 in non-high density lipoprotein cholesterol (non-HDL-C), apolipoprotein B (ApoB), total cholesterol (TC), and lipoprotein(a) [Lp(a)]. From February 6, 2023, to September 23, 2024, a total of 139 patients were enrolled. The least-squares (LS) mean difference between ongericimab and placebo groups in LDL-C from baseline to week 12 was -66.2 % (95 % CI: 74.2 %, -58.2 %; p < 0.0001), with reductions sustained up to week 52. Ongericimab also significantly reduced levels of non-HDL-C, ApoB, TC, and Lp(a). The overall incidence of treatment-emergent adverse events was comparable between the ongericimab and placebo groups. Ongericimab significantly reduced LDL-C as well as other atherogenic lipid levels and was well tolerated in Chinese statin-intolerant patients with primary hypercholesterolemia or mixed dyslipidemia. http://www. gov; Unique Identifier: NCT05621070. Show less
Lactylation, a recently identified post-translational modification, plays a critical role in tumor progression and immune regulation. However, its cellular heterogeneity and functional impact in lung Show more
Lactylation, a recently identified post-translational modification, plays a critical role in tumor progression and immune regulation. However, its cellular heterogeneity and functional impact in lung adenocarcinoma (LUAD) remain poorly understood. This study was designed as exploratory biological research to characterize lactylation-associated patterns at the single-cell level and to propose a potential lactylation-related prognostic model. Single-cell transcriptomic data from LUAD and normal lung tissues were analyzed to quantify lactylation activity using AUCell based on 332 lactylation-related genes. Cell-cell communication was inferred using CellChat to identify ligand-receptor interactions among subpopulations. Candidate genes were selected by integrating ligand-receptor pair genes, marker genes from highly lactylated subtypes, and previously reported lactylation-related genes. A total of 101 machine learning model combinations were evaluated to construct the prognostic model. Selected genes were further validated by quantitative reverse transcription polymerase chain reaction (qRT-PCR), and the potential relationship between Lactylation activity was higher in tumor epithelial and stromal cells, with particularly elevated levels in specific epithelial subpopulations. A 12-gene signature was identified, comprising nine risk genes (e.g., This study presents a lactylation-based prognostic model for LUAD and uncovers potential immune-related mechanisms by which highly lactylated epithelial cells may contribute to immune evasion and tumor progression. Show less
With the advancement of genomic technologies, precision lifestyle interventions tailored to individual genetic backgrounds have emerged as a novel approach for preventing and managing chronic diseases Show more
With the advancement of genomic technologies, precision lifestyle interventions tailored to individual genetic backgrounds have emerged as a novel approach for preventing and managing chronic diseases such as obesity. Several randomized controlled trials (RCTs) targeting obese or overweight populations have found that individuals with different genotypes exhibit varying responses to the same lifestyle intervention (gene-lifestyle intervention interactions). To date, more than 20 genes, including Show less
Growth traits are among the most important economic phenotypes targeted in the genetic improvement of beef cattle. To understand the genetic basis of growth traits in Huaxi cattle, we performed a geno Show more
Growth traits are among the most important economic phenotypes targeted in the genetic improvement of beef cattle. To understand the genetic basis of growth traits in Huaxi cattle, we performed a genome-wide association study (GWAS) on body weight, eye muscle area, and back fat thickness across five developmental stages in a population of 202 Huaxi cattle. Additionally, publicly available RNA-seq data from the longissimus dorsi muscle of both young and adult cattle were analyzed to identify key genes and genetic markers associated with growth in Huaxi cattle. In total, 7.19 million high-quality variant loci (SNPs and INDELs) were identified across all samples. In the GWAS, the three multilocus models (FarmCPU, MLMM, and BLINK) outperformed the conventional single-locus models (CMLM, GLM, and MLM). Consequently, GWAS analysis was conducted using multilocus models, which identified 99 variant loci significantly associated with growth traits and annotated a total of 83 candidate genes (CDGs). Additionally, 23 of the 83 CDGs overlapped with significantly differentially expressed genes identified from public RNA-seq datasets of longissimus dorsi muscle between young and adult cattle. Furthermore, gene functional enrichment (KEGG and GO) analyses revealed that over 30% of the pathways and GO terms were associated with muscle development and fat deposition, crucial factors for beef production. Specifically, key genes identified included Show less
Mesenchymal cells constitute the primary structural support elements within endometriotic lesions, yet their pivotal roles in endometriotic pathogenesis remain largely uncharted. This study aimed to c Show more
Mesenchymal cells constitute the primary structural support elements within endometriotic lesions, yet their pivotal roles in endometriotic pathogenesis remain largely uncharted. This study aimed to construct a single-cell atlas of endometriosis using samples from three ovarian tissues affected by endometriosis and three normal ovarian tissues. Through the utilization of scRNA-seq, we have unveiled six distinct mesenchymal subclusters in normal and endometriosis-afflicted ovaries, elucidating the diverse functions of mesenchymal populations in endometriosis. Our comprehensive analysis has revealed that mesenchymal cells predominantly engage in three key functions: ribosome-mediated protein synthesis and processing, cell adhesion facilitating intercellular support and communication, and a range of metabolic processes. Furthermore, our findings have identified several pivotal differentially expressed genes (e.g. C3, FN1, COL3A1, COL1A1, NRXN3), primarily associated with the complement and coagulation cascades, extracellular matrix (ECM) regulation, ECM receptor interactions, and cell adhesion molecules. In essence, our study provides a comprehensive transcriptomic dataset and novel insights into adhesive molecule and integrin networks within mesenchymal subclusters in endometriosis. This, in effect, has deepened the understanding of the pathomechanisms governing this condition. Show less
Physical fitness in preschoolers, encompassing muscular strength, speed-agility, balance, and cardiorespiratory fitness, serves as a key health indicator. While preschools are ideal settings for promo Show more
Physical fitness in preschoolers, encompassing muscular strength, speed-agility, balance, and cardiorespiratory fitness, serves as a key health indicator. While preschools are ideal settings for promoting physical fitness, the association between preschool-based movement behaviors and physical fitness remains unclear. This cross-sectional study included 1144 Chinese preschoolers aged 3-6 years. Preschool-based movement behaviors including moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), and sedentary behavior (SB), were measured using ActiGraph GT9X accelerometers. Physical fitness was assessed via the PREFIT battery, which includes handgrip strength, standing long jump, 4 × 10 m shuttle run, one-leg stance, and 20 m shuttle run. Compositional linear regression and isotemporal substitution modeling were employed to examine associations and time-reallocation effects, respectively. Greater amounts of MVPA during preschool hours were positively associated with better performance in muscular strength, speed-agility, and cardiorespiratory fitness. Reallocating time from SB or LPA to MVPA enhanced physical fitness, whereas substituting MVPA with SB or LPA reduced fitness levels, demonstrating an asymmetric effect. Moderate-to-vigorous physical activity during preschool hours significantly enhances physical fitness. Prioritizing the implementation of physical activity programs to increase MVPA in preschool settings is crucial for improving physical fitness and addressing insufficient MVPA in this age group. First large-scale study (N = 1144) demonstrating preschool-based moderate-to-vigorous physical activity (MVPA) is essential for developing preschoolers' muscular strength, speed-agility, and cardiorespiratory fitness, complementing existing 24-h movement behavior research. Reveals critical asymmetry: Reducing MVPA time significantly harms fitness, with losses exceeding the benefits from equivalent MVPA increases. Provides objective evidence to guide policymakers in optimizing preschool schedules to prioritize MVPA for enhancing children's physical fitness. Show less
Iodine is an essential micronutrient for developmental processes in the early stages; however, data on the effect of maternal iodine nutrition on milk lipids are limited. We aimed to explore the effec Show more
Iodine is an essential micronutrient for developmental processes in the early stages; however, data on the effect of maternal iodine nutrition on milk lipids are limited. We aimed to explore the effect of inadequate and excessive iodine intake on milk lipid metabolism and its mechanisms preliminarily. Rats were treated with different concentrations of potassium iodide water to construct animal models of iodine deficiency and excess. Iodine excess reduced serum total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) levels during lactation. Iodine deficiency had no significant effect on blood lipid indicators. In early and late lactation, iodine deficiency and excess inhibited triglyceride (TG) levels in milk; in mid-lactation, the inhibitory effect of iodine deficiency was attenuated. Under iodine deficiency and excess, the level of TG and the expression of THRα1, THRβ1, ACC1, FAS, THRSP, BTN1A1, and ADFP proteins in the mammary gland were decreased during lactation; a decrease in LPL protein expression was observed in early and late lactation; and a decline of XOR protein expression was reported in mid and late lactation. Blood lipid metabolism was less sensitive to iodine deficiency during lactation. Iodine excess has a more profound effect on blood lipid metabolism, causing dyslipidemia in lactating rats. Long-term iodine deficiency and excess may have a negative role in the mechanisms regulating milk lipid synthesis and secretion by affecting thyroid hormones to inhibit the milk TG level. Show less
Pathological retinal angiogenesis drives vision loss in diseases like proliferative diabetic retinopathy (PDR) and retinal vein occlusion (RVO). Erdafitinib, a pan-fibroblast growth factor receptor (F Show more
Pathological retinal angiogenesis drives vision loss in diseases like proliferative diabetic retinopathy (PDR) and retinal vein occlusion (RVO). Erdafitinib, a pan-fibroblast growth factor receptor (FGFR) inhibitor, has shown therapeutic potential in FGFR-mutated urothelial carcinoma. This study aimed to determine whether erdafitinib suppresses pathological retinal angiogenesis beyond its canonical FGFR inhibition, and to dissect its potential mechanisms through multi-model validation. We employed zebrafish developmental angiogenesis and oxygen-induced retinopathy (OIR) mouse models, combined with in vitro endothelial cell assays. In zebrafish, erdafitinib dose-dependently inhibited intersegmental vessel (ISV) formation and disrupted retinal angiogenesis, with confocal microscopy revealing truncated vascular length (by 62% at 4 µM vs. controls). The OIR model demonstrated erdafitinib's efficacy in reducing neovascular density (35% decrease) and pathological tuft formation. Mechanistically, erdafitinib impaired human umbilical vein endothelial cell (HUVEC) tube formation and migration, accompanied by downregulation of VEGFR2 expression (2.1-fold reduction) and inhibition of AKT/ERK phosphorylation. Molecular docking confirmed erdafitinib's binding to VEGFR2 kinase domain (binding energy: -7.8 kcal/mol), albeit with lower affinity than FGFR1 (-10.2 kcal/mol). These findings establish that erdafitinib exerts off-target anti-angiogenic effects by blocking VEGFR2 phosphorylation and downstream signaling, supporting its repurposing potential for anti-VEGF-resistant retinal vascular diseases. Further studies should address its intraocular pharmacokinetics and long-term safety. Show less
Leucine-rich repeat and immunoglobulin-like domain-containing nogo receptor-interacting protein 1 (LINGO-1) is a neuronal system-specific transmembrane protein that is highly expressed in the brains o Show more
Leucine-rich repeat and immunoglobulin-like domain-containing nogo receptor-interacting protein 1 (LINGO-1) is a neuronal system-specific transmembrane protein that is highly expressed in the brains of patients with Alzheimer's disease (AD), and our previous findings showed that LINGO-1 antagonism can improve cognitive function and protect hippocampal GABAergic interneurons in AD model mice. However, the specific mechanism underlying these effects is not clear. In this study, an adeno-associated virus (AAV) was used to directly interfere with hippocampal LINGO-1 in vivo, and LINGO-1 antagonists, cannabinoid type 1 receptor (CB1R) agonists, and CB1R antagonists were used to treat mouse hippocampal neurons (HT22 neurons) in vitro. We found that overexpressing hippocampal LINGO-1 in normal young mice impaired spatial learning and memory and reduced hippocampal CB1R protein levels, whereas silencing hippocampal LINGO-1 in AD model mice had the opposite effect. Additionally, antagonizing LINGO-1 increased CB1R/tyrosine kinase receptor B (TrkB) signalling and rescued CB1R- rich cholecystokinin-GABAergic (CCK-GABAergic) interneurons in HT22 neurons transduced with an APP/PS1-expressing virus. Competitive inhibition of LINGO-1 and CB1R was observed, and antagonizing LINGO-1 reversed the changes in HT22 neurons caused by the inhibition of CB1R, such as the decreases in the protein levels of doublecortin (DCX), TrkB, and phosphorylated TrkB (p-TrkB). These findings provide an important scientific basis for further exploration of the mechanism by which LINGO-1 regulates cognitive function and hippocampal GABAergic interneurons in AD model mice. Show less
The present investigation set out to examine potential categories regarding depressive symptoms in frail senior individuals in China and to identify the contributing variables associated with each cat Show more
The present investigation set out to examine potential categories regarding depressive symptoms in frail senior individuals in China and to identify the contributing variables associated with each category, with the goal of informing more targeted mental health interventions. Data were drawn from the 2018 China Health and Retirement Longitudinal Survey, commonly called CHARLS, which comprised an overall cohort of 1083 qualifying respondents. A latent profile analysis (LPA) revealed the following four distinct depression profiles: a Low Depression-High Loneliness Group (38.4%), a Moderately Low Depression-High Suicidal Ideation Group (7.5%), a Moderately High Depression-High Negative Emotion Group (33.4%), and a High Depression-High Suicidal Ideation Group (20.7%). Ordered multi-categorical logistic regression and restricted cubic spline analyses revealed that age, gender, body pain, pension insurance, sleep duration, and frailty index were significant predictors of depression classification. These findings suggest that depressive symptoms among frail older individuals in China are markedly heterogeneous, highlighting the need to develop differentiated intervention strategies for distinct depression risk groups to promote their mental health. Show less
William Stewart, Bin Hu, Fengqiao Li+6 more · 2025 · Journal of controlled release : official journal of the Controlled Release Society · Elsevier · added 2026-04-24
Obesity, a widespread global health issue affecting millions, is characterized by excess fat deposition and metabolic dysfunction, significantly elevating the risk of comorbidities like type 2 diabete Show more
Obesity, a widespread global health issue affecting millions, is characterized by excess fat deposition and metabolic dysfunction, significantly elevating the risk of comorbidities like type 2 diabetes, cardiovascular disease, and certain cancers, all of which contribute to rising rates of preventable morbidity and mortality. Current approaches to obesity, including lifestyle modifications, and pharmacotherapy, often face limitations such as poor long-term adherence, side effects, and insufficient targeting of the complex, multifactorial pathways underlying the disease. Herein we report a dual, RNA-mediated combinatorial approach using targeting lipid nanoparticles (LNP) for the treatment of obesity. LNPs were co-encapsulated with mRNA encoding Interleukin-27 (mIL-27) to coactivate PGC-1α, PPARα, and UCP-1, thereby promoting adipocyte differentiation and enhancing adaptive thermogenesis within adipocytes, and siRNA targeting Dipeptidyl peptidase-4 (siDPP-4) to silence the primary inhibitory enzyme of GLP-1, and GIP within the incretin system, effectively restoring glucose homeostasis. Following post translational silencing of DPP-4 and upregulation of IL-27 in a diet-induced obesity (DIO) mice model, increased expression of thermogenic biomarkers PGC-1α, PPARα, and UCP-1 was observed at the molecular, protein, and tissue level, and insulin sensitivity was restored. Importantly, this gene modulation led to a 21.1 % reduction of bodyweight after treatment in the DIO model. These findings demonstrate for the first time a dual RNA-mediated combinatorial approach, leveraging liver targeting LNP delivery with synergistic effects from incretin system regulation and induction of adipocyte differentiation and thermogenesis after codelivery of siDPP-4 and mIL-27. This innovative strategy provides a promising alternate framework for addressing obesity and its associated metabolic dysfunction. Show less
Jiangliang Chu, Yifan Yang, Keyu Zhang+2 more · 2025 · Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · Elsevier · added 2026-04-24
Polyethylene terephthalate microplastics (PET-MPs) have emerged as significant environmental pollutants with potential health risks. This study investigates the cytotoxic effects of PET-MPs on BEAS-2B Show more
Polyethylene terephthalate microplastics (PET-MPs) have emerged as significant environmental pollutants with potential health risks. This study investigates the cytotoxic effects of PET-MPs on BEAS-2B lung epithelial cells through integrated transcriptomic and metabolomic analyses. The results of the CCK8 assay showed a reduction in the viability of BEAS-2B cells following continuous exposure to PET-MPs. Transcriptomic analysis identified 1412 differentially expressed genes (DEGs) mainly enriched in apoptosis and extracellular matrix organization processes. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that these DEGs are predominantly involved in the PI3K-Akt, TNF, and MAPK signaling pathways. Metabolomic analysis identified 2869 differentially expressed metabolites (DEMs), mainly associated with pyrimidine, arginine, proline, and β-alanine metabolism pathways. Multi-omics analysis indicated that PET-MPs primarily disrupt lipid metabolism, which may lead to an increased risk of apoptosis. We hypothesize that PET-MPs affect lipid metabolism by up-regulating the ANGPTL4 gene, thereby promoting cellular apoptosis. This study reveals the mechanisms of PET-MPs toxicity, emphasizing the potential risks they pose to human health. Show less
Melatonin (MLT) can improve mitophagy, thereby ameliorating cognitive deficits in Alzheimer's disease (AD) patients. Hence, our research focused on the potential value of MLT-related genes (MRGs) in A Show more
Melatonin (MLT) can improve mitophagy, thereby ameliorating cognitive deficits in Alzheimer's disease (AD) patients. Hence, our research focused on the potential value of MLT-related genes (MRGs) in AD through bioinformatic analysis. First, the key cells in the single-cell dataset GSE138852 were screened out based on the proportion of annotated cells and Fisher's test between the AD and control groups. The differentially expressed genes (DEGs) in the key cell and GSE5281 datasets were identified, and the MRGs in GSE5281 were selected via weighted gene coexpression network analysis. After intersecting two sets of DEGs and MRGs, we performed Mendelian randomization analysis to identify the MRGs causally related to AD. Biomarkers were further ascertained through receiver operating characteristic curve (ROC) and expression analysis in GSE5281 and GSE48350. Furthermore, gene set enrichment analysis, immune infiltration analysis and correlation analysis with metabolic pathways were conducted, as well as construction of a regulator network and molecular docking. According to the Fisher test, oligodendrocytes were regarded as key cells due to their excellent abundance in the GSE138852 dataset, in which there were 281 DEGs between the AD and control groups. After overlapping with 3,490 DEGs and 550 MRGs in GSE5281, four genes were found to be causally related to AD, namely, G protein-coupled receptor, family C, group 5, member B (GPRC5B), Methyltransferase-like protein 7 A (METTL7A), NF-κB inhibitor alpha (NFKBIA) and RAS association domain family 4(RASSF4). Moreover, GPRC5B, NFKBIA and RASSF4 were deemed biomarkers, except for METTL7A, because of their indistinctive expression between the AD and control groups. Biomarkers might be involved in oxidative phosphorylation, adipogenesis and heme metabolism. Moreover, T helper type 17 cells, natural killer cells and CD56dim natural killer cells were significantly correlated with biomarkers. Transcription factors (GATA2, POU2F2, NFKB1, etc.) can regulate the expression of biomarkers. Finally, we discovered that all biomarkers could bind to MLT with a strong binding energy. Our study identified three novel biomarkers related to MLT for AD, namely, GPRC5B, NFKBIA and RASSF4, providing a novel approach for the investigation and treatment of AD patients. Show less
Despite the increasing approval and ongoing clinical trials of FGFR-targeted therapies, accurately detecting FGFR fusions remains a challenge due to limited research, low incidence rates, complex fusi Show more
Despite the increasing approval and ongoing clinical trials of FGFR-targeted therapies, accurately detecting FGFR fusions remains a challenge due to limited research, low incidence rates, complex fusion partner distribution, and unique kinase domain distribution. We conducted a multicenter study to comprehensively profile FGFR fusions in the largest Chinese pan-cancer cohort to date, comprising 118 FGFR fusions from 114 individuals. Both DNA- and RNA-based sequencing approaches were utilized to reveal novel and fundamental features of FGFR fusion. Our research reveals an incidence rate of 0.96% for FGFR rearrangements within this Chinese cohort, including a high incidence rate of FGFR fusions (40%) in parotid gland carcinoma. However, this is based on a small sample size of 5 tumors and should be interpreted cautiously pending validation in larger cohorts. We also uncovered distinct breakpoint distribution patterns across various FGFR rearrangements. For example, a primary breakpoint in intron17 of FGFR2 was predominant (21/22), while FGFR1/3 breakpoints displayed substantial diversity. For the first time, we identified "hot" breakpoints in FGFR1 intron17, exon18, and FGFR3's 3' untranslated region. These findings underline the importance of incorporating these regions in targeted sequencing to ensure comprehensive detection of FGFR1/3 fusions. Notably, we observed a predilection for intrachromosomal distribution in common FGFR1/2/3 fusions. In contrast, most novel fusions (12/15) exhibited an interchromosomal distribution pattern, indicating variations in the fusion formation mechanism. Importantly, our study demonstrates the substantial incremental value of RNA-NGS or other orthogonal methods in confirming the functionality of FGFR rearrangements initially identified by DNA sequencing. In our cohort, 46% (6/13) of rare FGFR1/2/3 fusions lacked detectable RNA transcripts; however, this does not definitively indicate non-functionality as factors such as low RNA quality, expression below detection limits, or nonsense-mediated decay may contribute. Therefore, RNA-based validation is critical for accurately identifying potentially targetable FGFR fusions and guiding therapy. Our findings offer critical novel insights into functional FGFR fusions and bear considerable clinical implications for identifying individuals whose tumors are most likely to respond favorably to FGFR-targeted therapies. Show less
Existing evidence suggests that elevated 1-hour post-load plasma glucose (1-h PG ≥ 8.6 mmol/L) during an oral glucose tolerance test (OGTT) is associated with atherogenic lipid parameters which are li Show more
Existing evidence suggests that elevated 1-hour post-load plasma glucose (1-h PG ≥ 8.6 mmol/L) during an oral glucose tolerance test (OGTT) is associated with atherogenic lipid parameters which are linked to an increased risk of cardiovascular disease (CVD). However, it remains unclear whether normal glucose tolerance (NGT) individuals with elevated 1-h PG (NGT-1hPG-high) should still be considered low-risk. Therefore, this study aims to demonstrate comprehensive lipid characteristics in individuals with different glycemic status stratified by 1-h PG, with a particular focus on those with NGT-1hPG-high. This cross-sectional study included individuals aged 25-55 years with high-risk of diabetes from the Daqing Diabetes Prevention Study II (Daqing DPS-II). Individuals were categorized into different glycemic status based on the World Health Organization's 1999 criteria and the International Diabetes Federation's 2024 position statement on 1-h PG. Traditional (TC, TG, HDL-C, LDL-C) and non-traditional lipid parameters [ApoA-1, ApoB, sdLDL-C, Lp(a), non-HDL-C, remnant cholesterol (RC), ApoB/ApoA-1, LDL-C/ApoB] were measured. Dyslipidemia was defined according to the 2023 Chinese Guidelines for Lipid Management. The China-PAR equation was used to estimate 10-year CVD risk. Spearman's correlation coefficients were calculated to evaluate the correlation between lipid parameters and 10-year CVD risk. Logistic and multiple linear regression models were performed to assess the association between 1-h PG and dyslipidemia as well as lipid parameters adjusting for covariates. Among 2 469 individuals, 22.7% had NGT with normal 1-h PG (NGT-1hPG-normal), 19.9% had NGT-1hPG-high, 2.6% had prediabetes with normal 1-h PG (PDM-1hPG-normal), 34.2% had prediabetes with elevated 1-h PG (PDM-1hPG-high), and 20.6% had newly diagnosed diabetes. The prevalence of dyslipidemia did not significantly differ between NGT-1hPG-high and PDM-1hPG-high (OR = 1.13, 95%CI: 0.88-1.44, P > 0.05). Higher 1-h PG levels were consistently associated with an atherogenic lipid profile, characterized by increased TC, TG, LDL-C, ApoB, sdLDL-C, non-HDL-C, RC and ApoB/ApoA-1, along with decreased ApoA-1, HDL-C and LDL-C/ApoB (all P < 0.05). Among lipid parameters, TG, sdLDL-C, RC, ApoB/ApoA-1, LDL-C/ApoB and HDL-C showed the strongest correlation with 10-year CVD risk, with Spearman's correlation coefficients of 0.41, 0.38, 0.35, 0.31, - 0.37 and - 0.36, respectively. In the NGT-1hPG-high, TG, sdLDL-C, and ApoB/ApoA-1 levels were significantly higher, while HDL-C and LDL-C/ApoB levels were significantly lower compared to counterparts with NGT-1hPG-normal (all P < 0.05). Moreover, except for TG and RC (both P < 0.01), the majority of lipid parameter levels in NGT-1hPG-high did not significantly differ from those in PDM (all P > 0.05). NGT-1hPG-high exhibited a similar atherogenic lipid profile to that observed in PDM. 1-h PG could serve as a potential indicator for the early identification of at-risk individuals who may otherwise go undetected among NGT population. Show less
Prostate cancer is epithelial malignant prostate hyperplasia caused by a tumor. We found prostate cancer GSE141551 and GSE200879 profiles from gene expression omnibus database, followed by differentia Show more
Prostate cancer is epithelial malignant prostate hyperplasia caused by a tumor. We found prostate cancer GSE141551 and GSE200879 profiles from gene expression omnibus database, followed by differentially expressed genes (DEGs) analysis, weighted gene co-expression network analysis, protein-protein interaction analysis, gene function enrichment analysis, and comparative toxicology database analysis. Finally, the gene expression heat map was drawn, and miRNA information regulating core DEGs was retrieved. A total of 1151 DEGs were found, most of them focusing on systematic development, cell development, cell differentiation, regulation of multicellular biological processes, anatomical morphogenesis, MAPK signaling pathway, proteoglycans in cancer, fluid shear stress, and atherosclerosis. The core genes (MYL9, TAGLN, SMTN, CNN1, MYH11, MYLK, MYOCD, ACTC1, LMOD1, and TPM2) obtained in end are all lowly expressed in prostate cancer samples and are associated with hypertension, tumor metastasis, prostate tumors, and tumor aggressiveness. LMOD1 and SMTN are lowly expressed in prostate cancer and may be used as markers in prostate cancer nursing. Show less
D-2-hydroxyglutarate (D-2HG), an oncometabolite derived from the tricarboxylic acid cycle. Previous studies have reported the diverse effects of D-2HG in pathophysiological processes, yet its role in Show more
D-2-hydroxyglutarate (D-2HG), an oncometabolite derived from the tricarboxylic acid cycle. Previous studies have reported the diverse effects of D-2HG in pathophysiological processes, yet its role in breast cancer remains largely unexplored. We applied an advanced biosensor approach to detect the D-2HG levels in breast cancer samples. We then investigated the biological functions of D-2HG through multiple in vitro and in vivo assays. A joint MeRIP-seq and RNA-seq strategy was used to identify the target genes regulated by D-2HG-mediated N6-methyladenosine (m We found that D-2HG accumulated in triple-negative breast cancer (TNBC), exerting oncogenic effects both in vitro and in vivo by promoting TNBC cell growth and metastasis. Mechanistically, D-2HG enhanced global m Our study unveils a previously unrecognized role for D-2HG-mediated RNA modification in TNBC progression and targeting the D-2HG/FTO/m Show less
The incidence of Type 2 Diabetes Mellitus (T2DM) continues to rise steadily, significantly impacting human health. Early prediction of pre-diabetic risks has emerged as a crucial public health concern Show more
The incidence of Type 2 Diabetes Mellitus (T2DM) continues to rise steadily, significantly impacting human health. Early prediction of pre-diabetic risks has emerged as a crucial public health concern in recent years. Machine learning methods have proven effective in enhancing prediction accuracy. However, existing approaches may lack interpretability regarding underlying mechanisms. Therefore, we aim to employ an interpretable machine learning approach utilizing nationwide cross-sectional data to predict pre-diabetic risk and quantify the impact of potential risks. The LASSO regression algorithm was used to conduct feature selection from 30 factors, ultimately identifying nine non-zero coefficient features associated with pre-diabetes, including age, TG, TC, BMI, Apolipoprotein B, TP, leukocyte count, HDL-C, and hypertension. Various machine learning algorithms, including Extreme Gradient Boosting (XGBoost), Random Forest (RF), Support Vector Machine (SVM), Naive Bayes (NB), Artificial Neural Networks (ANNs), Decision Trees (DT), and Logistic Regression (LR), were employed to compare predictive performance. Employing an interpretable machine learning approach, we aimed to enhance the accuracy of pre-diabetes risk prediction and quantify the impact and significance of potential risks on pre-diabetes. From the China Health and Nutrition Survey (CHNS) data, a cohort of 8,277 individuals was selected, exhibiting a disease prevalence of 7.13%. The XGBoost model demonstrated superior performance with an AUC value of 0.939, surpassing RF, SVM, DT, ANNs, Naive Bayes, and LR models. Additionally, Shapley Additive Explanation (SHAP) analysis indicated that age, BMI, TC, ApoB, TG, hypertension, TP, HDL-C, and WBC may serve as risk factors for pre-diabetes. The constructed model comprises nine easily accessible predictive factors, which prove highly effective in forecasting the risk of pre-diabetes. Concurrently, we have quantified the specific impact of each predictive factor on the risk and ranked them based on their influence. This result may serve as a convenient tool for early identification of individuals at high risk of pre-diabetes, providing effective guidance for preventing the progression of pre-diabetes to T2DM. Show less
Abdominal aortic aneurysm (AAA) is a severe aortic disease for which no pharmacological interventions have yet been developed. This investigation focused on identifying protein-based therapeutic targe Show more
Abdominal aortic aneurysm (AAA) is a severe aortic disease for which no pharmacological interventions have yet been developed. This investigation focused on identifying protein-based therapeutic targets and assessing how proteins mediate the interplay between modifiable risk factors and AAA development. Causal inferences between plasma proteins and AAA were drawn using 2-sample Mendelian randomization, followed by comprehensive sensitivity testing, colocalization, and replication efforts. Further analyses included database interrogation, single-cell RNA data analysis, enrichment analysis, protein-protein interaction networks, and immunohistochemistry to map the tissue-specific expression of these proteins, their expression within AAA tissues, and their biological roles. Mediation Mendelian randomization was employed to evaluate the mediating effects of AAA-related proteins on the associations between AAA and 3 risk factors: hypertension, smoking, and obesity. A total of 43 proteins were identified as having causal links to AAA. Colocalization analysis pinpointed 13 proteins with strong evidence of colocalization with AAA. Of these, the causal involvement of 10 proteins was substantiated by external validation data. Consistent evidence for PCSK9 (proprotein convertase subtilisin/kexin type 9), IL6R (interleukin-6R), ECM1 (extracellular matrix protein 1), and ANGPTL4 (angiopoietin-related protein 4) was further validated through tissue immunohistochemistry and blood data. Moreover, Mendelian randomization analysis identified 10 proteins as mediators of the influence of hypertension, smoking, and obesity on AAA development. This analysis identifies 4 proteins (PCSK9, IL6R, ECM1, and ANGPTL4) as high-priority therapeutic targets for AAA and emphasizes the intermediary role of plasma proteins in linking hypertension, smoking, obesity, and AAA. Further investigations are needed to clarify the specific roles of these proteins in AAA pathology. Show less
Cholesterol (CH) plays a crucial role in enhancing the membrane stability of drug delivery systems (DDS). However, its association with conditions such as hyperlipidemia often leads to criticism, over Show more
Cholesterol (CH) plays a crucial role in enhancing the membrane stability of drug delivery systems (DDS). However, its association with conditions such as hyperlipidemia often leads to criticism, overshadowing its influence on the biological effects of formulations. In this study, we reevaluated the delivery effect of CH using widely applied lipid microspheres (LM) as a model DDS. We conducted comprehensive investigations into the impact of CH on the distribution, cell uptake, and protein corona (PC) of LM at sites of cardiovascular inflammatory injury. The results demonstrated that moderate CH promoted the accumulation of LM at inflamed cardiac and vascular sites without exacerbating damage while partially mitigating pathological damage. Then, the slow cellular uptake rate observed for CH@LM contributed to a prolonged duration of drug efficacy. Network pharmacology and molecular docking analyses revealed that CH depended on LM and exerted its biological effects by modulating peroxisome proliferator-activated receptor gamma (PPAR-γ) expression in vascular endothelial cells and estrogen receptor alpha (ERα) protein levels in myocardial cells, thereby enhancing LM uptake at cardiovascular inflammation sites. Proteomics analysis unveiled a serum adsorption pattern for CH@LM under inflammatory conditions showing significant adsorption with CH metabolism-related apolipoprotein family members such as apolipoprotein A-V (Apoa5); this may be a major contributing factor to their prolonged circulation Show less
Lipid metabolism abnormalities and inflammation have been implicated in gallstone disease (GSD) development, but the causal relationships and potential mediation effects among lipid metabolites, infla Show more
Lipid metabolism abnormalities and inflammation have been implicated in gallstone disease (GSD) development, but the causal relationships and potential mediation effects among lipid metabolites, inflammatory factors, and GSD remain unclear. The aim of this study is to explore the causal relationships among these 3 factors. This study employed 2-sample Mendelian Randomization (TSMR) and 2-step MR to investigate the causal relationships and potential mediation effects among 91 inflammatory factors, 6 lipid metabolism-related molecules (HDL-C, LDL-C, TG, total cholesterol, ApoA1, and ApoB), and GSD. We opted for 4 distinct MR analysis methods including inverse variance weighted method, weighted median method, MR-Egger regression method and MR-PRESSO analysis. Sensitivity analyses included MR-Egger intercept tests, Cochran's Q statistic, Steiger tests, and leave-one-out analyses. Product of coefficients method was used to estimate mediation proportion. TSMR analysis revealed that every 1-unit increase in low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), apolipoprotein A1 (ApoA1), and apolipoprotein B (ApoB), the risk of GSD decreased by 16.5%, 10.2%, 8.4%, and 13.1%, respectively. Inflammatory factors such as Natural killer cell receptor 2B4 (CD244), Macrophage colony-stimulating factor 1 (CSF-1), and interleukin-18 receptor 1 (IL-18R1) were identified as risk factors for GSD, while Fibroblast growth factor 19 levels (FGF19), Interleukin-1-alpha levels (IL-1α), and Interleukin-8 levels (IL-8) were found to be protective. Mediation analysis through 2-step MR identified potential pathways involving ApoA1--IL-8--GSD (P = .084) and IL-1α--ApoB--GSD (P = .117). This study provides robust evidence of causal links between specific lipid metabolites and GSD, as well as suggestive causal associations for several inflammatory factors. However, mediation analysis did not support significant roles for lipids or inflammatory factors as mediators in GSD pathogenesis. Future research could be further pursued in areas such as drug target intervention and mechanistic studies. Show less
Acetylcholinesterase (AChE) inhibitors are crucial for the symptomatic management of Alzheimer's disease (AD), with natural products-particularly botanical sources like Yellow Gastrodia elata (YGE)-se Show more
Acetylcholinesterase (AChE) inhibitors are crucial for the symptomatic management of Alzheimer's disease (AD), with natural products-particularly botanical sources like Yellow Gastrodia elata (YGE)-serving as promising reservoirs of such inhibitors. Nevertheless, comprehensive screening and mechanistic characterization of their inhibitory potential remain limited. This study sought to identify potent AChE inhibitors from YGE, investigate their mechanisms of action, and assess their therapeutic prospects for AD. Methodologically, an integrated approach was employed, combining ultrafiltration-liquid chromatography (UF-LC) for rapid inhibitor screening, molecular docking and dynamics simulations for mechanistic insight, two-stage high-speed countercurrent chromatography for compound isolation, enzyme kinetics to delineate inhibition modalities, and network pharmacology to uncover relevant AD-related targets. The findings identified seven active constituents with notable AChE inhibition, among which parishins A and G were obtained at high purity (98.26% and 97.26%, respectively) and exhibited mixed-type inhibition with low IC Show less