👤 Wei Yuan

Obesity arises from an imbalance between adipogenesis and adipocyte thermogenesis. Interleukin-27 (IL-27), a heterodimer cytokine, is known to promote thermogenesis in brown adipose tissue. However, its role in adipogenesis remains unclear. This study aims to investigate the effects of IL-27 on adipogenesis both in vitro and in vivo, and to elucidate the underlying mechanisms. In vitro, an adipogenic differentiation model of adipose-derived mesenchymal stem cells (ADSCs) demonstrate that IL-27 is non-cytotoxic to ADSCs and inhibits ADSCs adipogenic differentiation. In vivo, using a high-fat diet (HFD)-induced obese mouse model and a targeted adipose tissue-specific IL-27 overexpression adeno-associated viral (AAV) vector, we confirm that IL-27 suppresses adipogenesis, prevents weight gain, and improves glucose and lipid metabolic homeostasis in obese mice. Additionally, the inhibition of adipogenesis by IL-27 is mediated through HDAC6 activation of the TGFβ/Smad3 signaling pathway. Our study suggests that IL-27 is a potential therapeutic target for obesity and metabolic disorders. Show less

Neurodevelopmental disorders (NDDs) exhibit complex genotype-phenotype associations that frequently result in inconclusive variant interpretations, contributing to suboptimal diagnostic yields (~ 40%). Koolen-de Vries syndrome (KdVS), an autosomal dominant NDD caused by KANSL1 haploinsufficiency, exemplifies this diagnostic challenge with its multisystem manifestations and lack of systematic genotype-phenotype associations. To address this gap, we constructed a comprehensive KdVS genotype-phenotype repository by systematically integrating all molecularly confirmed cases from global literature. Comprehensive phenotypic analysis revealed that core KdVS features include developmental delay/intellectual disability, characteristic craniofacial dysmorphism, hypotonia, and multisystem abnormalities. Phenotypic association analysis identified 249 significant correlations, demonstrating that KdVS clinical manifestations are highly interconnected rather than representing isolated features, such as the association between strabismus and hydrocephalus (OR = 14.26). Application of this repository to screen a Chinese rare disease cohort identified 53 KANSL1 variants. Among these, one de novo nonsense variant (NM₀₀₁₁₉₃₄₆₆.2: c.902T > G, p.Leu301Ter) was classified as pathogenic in a Chinese boy with classic KdVS features. The remaining 52 variants were categorized as variants of uncertain significance (VUS), approximately half of which were absent from gnomAD databases. Each VUS was comprehensively annotated with detailed clinical profiles to facilitate phenotype-driven reinterpretation. In conclusion, this study establishes KdVS as a highly interconnected multisystem disorder and demonstrates that deep phenotypic association analysis enhanced genetic diagnosis. This disease-specific repository approach provides a scalable framework for improving molecular diagnostics across rare NDDs. Show less

Magnetic resonance imaging and circulating molecular testing are potential methods for diagnosing and treating Parkinson's disease (PD). However, their relationships remain insufficiently studied. Using genome-wide association summary statistics, we found in the general population a genetic negative correlation between white matter tract mean diffusivity and PD (-0.17 < Rg < -0.11, p < 0.05), and a positive correlation with intracellular volume fraction (0.12 < Rg < 0.2, p < 0.05). Additionally, 1345 circulating genes causally linked with white matter tract diffusivity were enriched for muscle physiological abnormalities (padj < 0.05). Notable genes, including LRRC37A4P (effect size = 15.7, p = 1.23E-55) and KANSL1-AS1 (effect size = -15.3, p = 1.13E-52), were directly associated with PD. Moreover, 23 genes were found linked with genetically correlated PD-IDP pairs (PPH4 > 0.8), including SH2B1 and TRIM10. Our study bridges the gap between molecular genetics, neuroimaging, and PD pathology, and suggests novel targets for diagnosis and treatment. Show less

To examine the association between 24-hour movement behaviors and depressive symptoms in older adults using compositional data analysis, and to investigate the dose-response characteristics of time reallocations between movement behaviors in relation to depressive symptoms. A cross-sectional study was conducted among 1093 urban-dwelling older adults aged 60 years and above in selected communities of Jinan City, Shandong Province, China, between April 2024 and September 2024. The Chinese version of the International Physical Activity Questionnaire-Long Form (IPAQ-LF) was used to estimate time spent in moderate to vigorous-intensity physical activity (MVPA), light-intensity physical activity (LPA), sedentary behavior (SB), and sleep (SLP) across a typical 24-hour day. The Chinese version of the Patient Health Questionnaire Depression Scale-9 item (PHQ-9) was applied to assess depressive symptoms. Compositional isotemporal substitution models were employed to explore the associations between time reallocations among 24-hour movement behaviors and depressive symptoms, accounting for the co-dependent nature of time-use data. (1) The geometric means of time spent in MVPA, LPA, SB, and SLP were 25.33 minutes, 141.26 minutes, 738.10 minutes, and 455.15 minutes, respectively. Variation matrix analysis revealed the highest log-ratio variance between MVPA and SB (0.168), and the lowest between SLP and SB (0.031). (2) The prevalence of screening-positive depressive symptoms was 16.29% among Chinese urban older adults. (3) Results from compositional linear regression models showed that time allocated to MVPA, LPA, and SLP (relative to the remaining movement behaviors) was negatively associated with depressive symptoms, while time spent in SB was positively associated. (4) Dose-response analysis further indicated that: (a) MVPA substitutions with other movement behaviors exhibited nonlinear and markedly asymmetric effects on depressive symptoms; (b) replacing MVPA with LPA, SB, or SLP resulted in increasingly larger changes in predicted scores as substitution duration increased, whereas the reverse substitution (MVPA for other movement behaviors) produced progressively smaller changes; and (c) substitutions between SB and LPA displayed linear and symmetrical effects. The findings provide evidence of an association between 24-hour movement behaviors and depressive symptoms in Chinese urban-dwelling older adults and reinforce the importance of achieving a balance between different types of movement behaviors over a 24-hour period for mental health. Show less

Anxiety is significantly correlated with levels of physical activity in university students. This research assessed the effects of anxiety on engagement in physical activity and explored the potential mediating function of psychological resilience. Additionally, latent profile analysis (LPA) was employed to identify distinct subtypes based on anxiety and resilience levels, and to explore their associations with physical activity. Utilizing a non-probability convenience sampling approach, this cross-sectional study recruited a total of 1,436 collegiate participants from multiple universities. Data collection was carried out with the Generalized Anxiety Disorder Scale (GAD-7), the abbreviated Connor-Davidson Resilience Scale (CD-RISC-10), and the Physical Activity Rating Scale (PARS-3). Data analysis included mediation effect analysis via Bootstrap methods (Model 4) and latent profile analysis (LPA). Anxiety demonstrated a significant negative association with physical activity ( Results demonstrated that anxiety affects physical activity both directly and indirectly, with the latter effect occurring through the channel of psychological resilience. Latent profile analysis identified three distinct profiles among college students based on anxiety and psychological resilience: High Anxiety-Low Psychological Resilience, Moderate Anxiety-Moderate Psychological Resilience, and Low Anxiety-High Psychological Resilience. Marked variations in physical activity levels were observed among these subgroups. The results underscore the complex relationships among mental health indicators and health behaviors within the collegiate population. The delineation of distinct profiles offers practical implications for designing tailored intervention strategies. Show less

Lipoprotein(a) [Lp(a)] is associated with atherosclerotic cardiovascular disease. An Lp(a) threshold of ≥125 nmol/L is commonly used to identify individuals at higher risk for events, but there is a paucity of data on individuals of Hispanic/Latino descent. The purpose of this study was to provide a comprehensive evaluation of Lp(a) and its association with 10-year cardiovascular disease risk and mortality among Hispanic/Latino adults in the United States. We evaluated the association between Lp(a) and myocardial infarction (MI), ischemic stroke, and all-cause mortality among 16,117 Hispanic Community Health Study/Study of Latinos individuals. Event rates were compared across Lp(a) quintiles. Multivariable Cox proportional hazards models assessed the relationship between events and Lp(a) across increasing quintiles, log-transformed Lp(a), and ≥125 nmol/L vs <125 nmol/L. Sampling weights and survey methods were used to account for the stratified probability sampling of the cohort. Among the Hispanic Community Health Study/Study of Latinos target population (median age 41.1 years, 52.4% women), the median Lp(a) was 19.7 nmol/L (Q1-Q3: 7.3-60.6 nmol/L), with 11.4% having Lp(a) ≥125 nmol/L, and the highest Lp(a) quintile defined as >77 nmol/L. Over a median follow-up of 9.8 years, 883 events (135 MI, 99 stroke, 649 all-cause mortality) occurred. The age-adjusted incidence rate of the composite events (MI, stroke, and all-cause mortality) was 505.2 per 100,000 person-years. After multivariable adjustment, each 1-SD increase in log-transformed Lp(a) was associated with a higher risk of MI (HR: 1.47; 95% CI: 1.14-1.89). Compared with Lp(a) <125 nmol/L, elevated Lp(a) ≥125 nmol/L conferred an increased risk of MI (HR: 2.29; 95% CI: 1.45-3.63), all-cause mortality (HR: 1.43; 95% CI: 1.05-1.93), and composite events (HR: 1.56; 95% CI: 1.22-2.01), but not stroke. Findings were consistent when comparing the highest Lp(a) quintile to the lower 4 quintiles, but the elevated risk was observed only for MI and composite events. Hispanic/Latino individuals with elevated Lp(a) are at an increased risk of MI and all-cause mortality. Although Lp(a) ≥125 nmol/L is a valid risk threshold, Hispanics/Latinos show a continuous relationship between increasing Lp(a) levels and MI risk. Show less

Cognitive decline is a common aspect of aging, and identifying modifiable lifestyle factors, such as physical activity and sleep, is crucial for promoting healthy brain aging. While both are individually linked to cognition, few studies have simultaneously assessed their independent and combined effects using objective wearable-based data, particularly in older Asian populations. This study aimed to examine the independent and interactive effects of wearable-assessed sleep and physical activity parameters on memory performance in healthy older adults. We also explored whether age and hippocampal volume moderated these associations. This prospective cross-sectional analysis included 88 cognitively healthy community-dwelling adults (≥60 years of age) from the Integrating Systematic Data of Geriatric Medicine to Explore the Solution for Healthy Aging cohort in Taiwan. Participants underwent 12-day wrist-worn actigraphy, brain magnetic resonance imaging, and neuropsychological assessments. Light-intensity physical activity (LPA) and wake after sleep onset (WASO) were selected based on age-adjusted partial correlations with Consortium to Establish a Registry for Alzheimer's Disease Neuropsychological Battery memory scores. Multivariate regressions, age-stratified models (cutoff=72 years), and PROCESS moderation and mediation analyses were conducted, adjusting for age, education, daytime sleepiness, and hippocampal volume. Partial correlation analyses adjusting for age showed that higher LPA (r=0.260; P=.02) and lower WASO (r=-0.251; P=.02) were significantly associated with better memory scores. Age significantly moderated both effects: LPA was beneficial beyond 73.8 years of age, and WASO was detrimental beyond 71.1 years of age. Multivariate regression models confirmed that both WASO (β=-.044; P=.04) and LPA (β=.042; P=.01) were significant predictors of memory. In subgroup analyses (age ≥72 years), both LPA (β=.054; P=.04) and WASO (β=-.111; P=.01) remained significant predictors. Moderated mediation analyses showed that WASO was associated with reduced LPA (β=-.325; P=.03), but the indirect effect on memory via LPA was not significant. Instead, WASO exerted a direct and age-moderated effect on memory performance. Hippocampal volume moderated both associations, supporting the brain reserve hypothesis. Our findings highlight WASO and LPA, as measured by wearable devices, as modifiable behavioral factors linked to memory function in older adults. The impact of these factors intensifies with advancing age and may be influenced by hippocampal reserve. Promoting daily light physical activity and maintaining sleep continuity may serve as accessible, age-tailored strategies for preserving cognitive health in aging populations. ClinicalTrials.gov NCT04207502; https://classic.clinicaltrials.gov/ct2/show/NCT04207502. Show less

This study aimed to explore the potential classification and influencing factors of post-traumatic stress disorder (PTSD) in intensive care unit (ICU) patients receiving mechanical ventilation to provide a theoretical basis for formulating targeted intervention measures. A total of 229 patients on mechanical ventilation who were hospitalized in the intensive care unit of a Class III Grade A hospital in Zunyi from August 2023 to July 2024 were selected as research participants using a purposive sampling method. The General information questionnaire, Eysenck Personality Questionnaire Revised, Short Scale for Chinese (EPQ-RSC), Simplified Coping Style Questionnaire (SCSQ), Perceived Social Support Scale (PSSS), and Hospital Anxiety and Depression Scale (HADS) were used to assess the patients within 7 days after discharge from the ICU. One month after extubation, a cross-sectional survey was conducted using the Impact of Event Scale-Revised (IES-R). Latent profile analysis (LPA) was used to analyze the latent subtypes of PTSD, and univariate analysis and a disordered multivariate logistic regression model were used to evaluate the influencing factors associated with different types of PTSD. A total of 215 valid questionnaires were collected, and the effective recovery rate was 93.89%. The incidence of PTSD was 14.9% (95% CI: 10.12%-19.64%). There were three latent categories of PTSD among the ICU patients on mechanical ventilation: the "low-stress group" (56.8%, PTSD symptoms among mechanically ventilated ICU survivors manifest in three distinct profiles. Our findings strongly recommend early psychological screening, particularly focusing on anxiety and depression levels and patients' educational background. Medical staff should formulate targeted intervention plans based on the characteristics of different patient categories to lower the level of PTSD in patients. Show less

This study aimed to identify the latent profiles of cognitive function among community-dwelling and institutionalized older adults, and to examine their associated influencing factors, in order to inform the development of targeted interventions. A convenience sampling method was used to select 6,708 elderly people aged 60 years and older from six communities and nine long-term care institutions across China, who were assessed using a general information questionnaire, Mini-Mental State Examination (MMSE), the Frailty Scale, the Anxiety Scale, the Depression Scale, and the Pittsburgh Sleep Quality Index. Latent profile analysis (LPA) was performed based on the MMSE scores, and multiple logistic regression was used to analyse the influencing factors of cognitive function categories. A total of three cognitive function profiles were identified: High cognitive Function group (41.2%), Moderate Cognitive Function Group (48.2%) and Low cognitive Function group (10.7%). Higher Frailty [odds ratio (ORs) = 1.070-1.246], higher depressive symptom scores (OR = 1.059-1.191) and poorer sleep quality (higher PSQI; OR = 1.088) were associated with higher odds of belonging to the Moderate/Low cognitive profiles, whereas adequate social support (Yes vs. No; OR = 0.530-0.696), selected middle-income categories versus ≥¥6,000 in per-capita monthly household income (OR = 0.462-0.735) and male sex (OR = 0.556-0.876) were associated with lower odds. Cognitive function among older adults can be classified into three distinct latent profiles, each associated with different influencing factors. These findings underscore the need for stratified and personalized interventions at the community level to support stratified screening and tailored community programs; given the cross-sectional design, these associations do not establish causality or intervention effects. Show less

Invertebrates constitute the largest group of animals on Earth, accounting for approximately 97 % of all animal species. Although the heart of invertebrates could be a sensitive target for environmental pollution, potential cardiotoxicity for most contaminants has received little attention. In this study, perfluorooctanoic acid (PFOA) and thick-shell mussels (Mytilus coruscus) were used to investigate the effect of PFOA on cardiac performance and the potential underlying mechanisms. Heart beat monitoring demonstrated that four-week exposure to 0.5 and 5.0 μg/L of PFOA resulted in bradycardia and arrhythmia in thick-shell mussels. Moreover, considerably more triglyceride (TG) accumulation, higher lipoprotein lipase (LPL) and lipase (LPS) activities, and disruption of lipid metabolism-related genes were observed in the hearts of PFOA-exposed mussels. In addition, comparable adverse impacts were detected in mussels treated with proliferator-activated receptor gamma (PPARγ) agonist whereas the PFOA-induced effects were fully or partially alleviated by PPARγ antagonist. Furthermore, molecular docking and molecular dynamics simulation revealed a high binding affinity of PFOA to the PPARγ of 12 invertebrates, including thick-shell mussels. In general, our data suggest that PFOA may pose a severe threat to cardiac performance of invertebrate species by inserting into the binding pocket of PPARγ, and thereby causing cardiac lipid metabolism disorders. Show less

Gut microbiota can digest and ferment feed into metabolites to influence the meat quality. Probiotics are used to regulate the gut microbiota. In this study, a total of 360 broilers were assigned to 4 treatments (10 broilers per cage): control (Con), low dose of Show less

Breast cancer (BRCA) is a prevalent malignant tumor among women, and the use of anesthetic drugs during surgical resection may influence tumor biology and patient prognosis. This study aimed to identify prognostic biomarkers associated with dexmedetomidine and dezocine (DD) in BRCA patients. Through Mendelian Randomization analysis, we screened four DD targets that had a causal relationship with BRCA. Subsequently, utilizing TCGA-BRCA data, univariate and Lasso Cox analyses revealed two significant prognostic biomarkers (NR1H3 and ADRB1) associated with BRCA patient prognosis, leading to the successful construction and validation of a prognostic risk model. Kaplan-Meier survival curves indicated that patients with higher NR1H3 and ADRB1 expression had longer overall survival (OS). Immunoinfiltration analysis showed that high-risk group patients exhibited increased infiltration levels of CD56 bright natural killer cells, CD56 dim natural killer cells, eosinophils, and plasmacytoid dendritic cells. Conversely, activated B cells and immature B cells demonstrated greater infiltration in the low-risk group. Correlation analysis revealed significant associations between prognostic biomarkers and various immune cells, including CD56 bright natural killer cells, CD56 dim natural killer cells, and activated CD8 T cells. NR1H3 was highly positively correlated with immune checkpoints such as TIGIT, PDCD1, CD274, CTLA4, LAG3, and HAVCR2 (|cor|≥0.3, The online version contains supplementary material available at 10.1007/s12672-025-03694-7. Show less

Prenatal exposure to bisphenol analogs (BPs) may pose hazards to offspring's health; however, their underlying mechanisms remain to be elucidated. DNA methylation, a major epigenetic mechanism, may be involved in early programming following environmental disturbances. In this prospective study, we investigated associations between prenatal BPs exposure and the placental DNA methylation levels of 14 candidate genes in the peroxisome proliferator-activated receptor (PPAR) signaling pathway among 205 mother-infant pairs and explored the potential mediating role of the DNA methylation in the association of prenatal BPs exposure with anthropometric measurements of infants aged 1 year. We observed a general pattern that prenatal BPs exposure was associated with the DNA hypomethylation of candidate genes, with associations consistently and notably observed for PPAR α (PPARA), retinoid X receptor α (RXRA), acetyl-CoA acyltransferase 1, and acyl-CoA dehydrogenase medium chain (ACADM) in linear regression and Bayesian kernel machine regression. Both models identified bisphenol F (BPF) as the predominant compound. We found inverse associations between the placental DNA methylation levels of most candidate genes, such as PPARA, RXRA, ACADM, and nuclear receptor subfamily 1 group H member 3 (NR1H3), and the length-for-age z-score, arm circumference-for-age z-score, subscapular skinfold-for-age z-score, and abdominal skinfold thickness of the infants. The DNA methylation levels of RXRA and NR1H3 could mediate the associations between prenatal BPF exposure and increased infant anthropometric measurements, with mediating portions ranging from 23.02% to 30.53%. Our findings shed light on the potential mechanisms underlying the effects of prenatal BPs exposure on infant growth and call for urgent actions for risk assessment and regulation of BPF. Future cohort studies with larger sample sizes are warranted to confirm our findings. Show less

Endothelial-to-mesenchymal transition (EndMT) is a biological process through which lung vascular endothelial cells (ECs) transdifferentiate into mesenchymal-like cells. EndMT has recently been implicated in the development and progression of pulmonary vascular remodeling in pulmonary hypertension (PH); however, its underlying regulatory mechanisms remain incompletely understood. MicroRNAs (miRNAs) are key post-transcriptional regulators of EC gene expression and cellular responses to various stimuli. Notably, microRNA-153 (miR-153) has been shown to directly target SNAI1 to modulate epithelial-to-mesenchymal transition (EMT), a process closely related to EndMT and extensively studied in cancer. Whether miR-153 also participates in EndMT regulation, however, remains unknown. In this study, we demonstrate that 72-hour hypoxic exposure induces SNAI1-mediated EndMT in human lung vascular ECs. Hypoxia also increased cell proliferation and disrupted intercellular junctions, leading to enhanced endothelial permeability. Reduced miR-153 expression was observed in both hypoxia- and TGF-β1-induced EndMT, as well as in ECs isolated from PH patients exhibiting an EndMT phenotype. Similar to hypoxia, TGF-β1 promoted EC permeability. Loss of miR-153 enhanced SNAI1-mediated EndMT, endothelial survival, and permeability under normoxic conditions, whereas miR-153 overexpression attenuated EndMT induced by hypoxia or TGF-β1. However, miR-153 restoration did not completely recover endothelial barrier integrity disrupted by these stimuli. In conclusion, miR-153 serves as a critical regulator of EndMT, maintaining endothelial identity and barrier function. Therapeutic delivery of miR-153 may therefore represent a novel strategy to inhibit EndMT and attenuate pulmonary vascular remodeling in PH. Show less

Breast cancer (BC) is the most prevalent malignancy among women worldwide. Growing evidence highlights the crucial role of circular RNAs (circRNAs) in BC carcinogenesis; however, their underlying mechanisms remain largely unknown. In this study, we identify circCLASP1, which is significantly upregulated in BC tissues (n = 65) and serum samples (n = 61). Its expression correlates with lymph node metastasis, ki67 expression, and tumor size. Receiver operation characteristic (ROC) curve analysis reveals area under the curve (AUC) values of 0.8196 (BC tissues) and 0.8902 (BC serum), respectively. Functionally, circCLASP1 knockdown significantly suppresses BC cell proliferation, migration, and invasion. Mechanistically, circCLASP1 prevents the ubiquitin-mediated degradation of GLI1 protein by facilitating its interaction with CCT2, thereby stabilizing GLI1. Moreover, circCLASP1 enhances the nuclear accumulation of GLI1, leading to increased SNAIL expression and thereby upregulating the expression of CCL2 and CCL5, which in turn promotes macrophage M2 polarization, ultimately resulting in BC progression and subsequent lung metastasis. Further analysis reveals that U2AF2 regulates circCLASP1 biogenesis. Collectively, these findings demonstrate that circCLASP1 promotes BC progression and an immunosuppressive microenvironment via the CCT2/GLI1/SNAIL axis, highlighting its potential as a prognostic biomarker and therapeutic target for BC. Show less

Endothelial-to-mesenchymal transition (EndMT) is a biological process that converts endothelial cells to mesenchymal cells with increased proliferative and migrative abilities. EndMT has been implicated in the development of pulmonary vascular remodeling in pulmonary arterial hypertension (PAH), a fatal and progressive lung vascular disease. Transforming growth factor β Show less

The effect of coiled-coil domain-containing 154 (CCDC154) in liver cancer (LC) remains unexplored. The objective of this study was to investigate the role of CCDC154 in LC and its underlying mechanism. The analysis of CCDC154 expression and prognosis was performed using UALCAN, Human Protein Atlas and Kaplan-Meier plotter websites. Protein expression was measured using Western blotting assay. Lentivirus was used to silence CCDC154 expression in LC cells. The proliferation and apoptosis of LC cells was evaluated by cell counting assay, colony formation assay and flow cytometry. The migration and invasion of LC cells were investigated using scratch wound-healing assay and Transwell assay. The results showed that CCDC154 was highly expressed in LC and related to tumor grade and stage. High CCDC154 expression was associated with to poor outcomes in LC patients. Silencing of CCDC154 inhibited proliferation, migration and invasion of LC cells. It also increased apoptosis in LC cells. After CCDC154 knockdown, the expression of Twist, Vimentin and Snail was down-regulated. Overexpression of Snail abated the inhibitory caused by CCDC154 knockdown on LC cell growth. CCDC154 knockdown suppressed LC development through reducing Snail expression. Show less

Periodontitis (PD) is a chronic inflammatory disease in which oxidative stress plays a crucial role in its progression. Mitophagy eliminates damaged mitochondria and alleviates oxidative stress; however, its specific regulatory mechanisms in PD remain unclear. This study utilized single-cell and bulk RNA sequencing data to identify core genes and investigate their potential roles. We utilized single-cell RNA sequencing data and applied 4 algorithms - area under the curve cell level enrichment, U-statistics-based single-cell signature scoring, single-sample gene set scoring, and AddModuleScore - to assess mitophagy activity and identify candidate genes. Subsequently, based on bulk RNA-seq data, 5 machine learning algorithms, including Least Absolute Shrinkage and Selection Operator Regression, random forest, Boruta, gradient boosting machine, and eXtreme Gradient Boosting, were employed to further screen core genes from the candidate gene set. Finally, immune infiltration analysis, cell communication analysis, and gene interaction network construction were integrated to systematically elucidate the regulatory mechanisms of core genes in the progression of PD. Single-cell RNA sequencing combined with multiple algorithms revealed significantly elevated mitophagy activity in PD tissues, particularly in monocytes/macrophages and endothelial cells. Additionally, we identified 4 core genes: BNIP3L, VPS13C, CTTN, and MAP1LC3B. BNIP3L and CTTN were downregulated in periodontitis, correlating negatively with disease prevalence, immune infiltration, and inflammatory pathways, whereas VPS13C and MAP1LC3B were upregulated, showing positive correlations. CellChat analysis highlighted monocytes/macrophages and endothelial cells with high core gene expression as key mediators of intercellular communication. This study identified BNIP3L, VPS13C, CTTN, and MAP1LC3B as core mitophagy-related genes associated with PD, and highlighted the pivotal roles of monocytes/macrophages and endothelial cells in disease progression. These findings provide new insights into the pathogenesis of PD and offer a theoretical foundation for mitophagy-targeted diagnosis, biomarker identification, and precision therapy. Show less

The mechanistic target of rapamycin (mTOR) pathway plays a critical role in cell growth and metabolic homeostasis. The ribosomal protein S6 kinases S6K1 and S6K2 are the major effectors of the mTOR pathway key to translation efficiency, but the underlying regulatory mechanisms remain largely unclear. In this study, we searched for mTOR regulators and found that the splicing factor SRRM2 modulates the levels of S6K1 and S6K2, thereby activating the mTOR-S6K pathway. Interestingly, SRRM2 facilitates the expression of S6K2 by modulating alternative splicing, and enhances the stability of the S6K1 protein by regulating the E3 ubiquitin ligase WWP2. Moreover, SRRM2 is highly expressed in colorectal cancer (CRC) tissues and is associated with a poor prognosis. SRRM2 promotes CRC growth in vitro and in vivo. Combined, these data reveal an oncogenic role of SRRM2 in CRC through activating the mTOR-S6K pathway by two different approaches, further suggesting SRRM2 as a potential therapeutic target for CRC. Show less

The dual activation of glucagon-like peptide-1 receptor (GLP-1R) and glucose-dependent insulinotropic polypeptide receptor (GIPR) has emerged as a promising therapeutic strategy for managing type 2 diabetes and obesity. Tirzepatide, a dual agonist peptide, has exhibited superior clinical efficacy in glycemic and weight control compared to selective GLP-1R agonists. Nevertheless, the structural basis of Tirzepatide's extended half-life, attributed to an acylation side chain on the parent peptide, raises questions regarding its partial agonistic activity. Employing molecular dynamics simulations, we explored the dynamic processes of peptide-receptor interactions. We uncovered a crucial salt bridge between parent peptide and GLP-1R/GIPR at K20, a feature not discernible in cryo-electron microscopy structures. Building upon these insights, we developed an optimization strategy based on the parent peptide which involved repositioning the acylation side chain. The results of both in vitro and in vivo experiments demonstrated that the optimized peptide has twofold to threefold increase in agonistic activity compared to Tirzepatide while maintaining its extended half-life in plasma. This led to the design of BGM0504, which proved to be more effective than its predecessor, Tirzepatide, in both laboratory and animal studies. Show less

Anorectal malformations (ARMs) are congenital diseases that lead to postoperative fecal incontinence, constipation, and soiling, despite improvements in surgery; however, their pathological mechanisms remain unclear. Here, we report the role of microRNA-141-3p in maintaining homeostasis between apoptosis and autophagy in the lumbosacral defecation center of fetal rats with ARMs. Elevated microRNA-141-3p expression inhibited YIN-YANG-1 expression by binding its 3' UTR, and repressed autophagy and triggered apoptosis simultaneously. Then, adenylate cyclase 3 was screened to be the downstream target gene of YIN-YANG-1 by chromatin immunoprecipitation sequencing experiments, and Yin Yang 1 could positively activate the transcription of adenylate cyclase 3 by directly interacting with the motif GAGATGG and ATGG in its promoter. Intraamniotic microinjection of adeno-rno-microRNA-141-3p-sponge-GFP in fetal rats with ARMs on embryonic day 15 restored apoptosis-autophagy homeostasis. These findings reveal that microRNA-141-3p upregulation impaired homeostasis between apoptosis and autophagy by inhibiting the YIN-YANG-1/adenylate cyclase 3 axis, and that intraamniotic injection of anti-microRNA-141-3p helped maintain homeostasis in the lumbosacral defecation center of ARMs during embryogenesis. Show less

Brown adipose tissue (BAT) is the main site of nonshivering thermogenesis which plays an important role in thermogenesis and energy metabolism. However, the regulatory factors that inhibit BAT activity remain largely unknown. Here, cardiotrophin-like cytokine factor 1 (CLCF1) is identified as a negative regulator of thermogenesis in BAT. Adenovirus-mediated overexpression of CLCF1 in BAT greatly impairs the thermogenic capacity of BAT and reduces the metabolic rate. Consistently, BAT-specific ablation of CLCF1 enhances the BAT function and energy expenditure under both thermoneutral and cold conditions. Mechanistically, adenylate cyclase 3 (ADCY3) is identified as a downstream target of CLCF1 to mediate its role in regulating thermogenesis. Furthermore, CLCF1 is identified to negatively regulate the PERK-ATF4 signaling axis to modulate the transcriptional activity of ADCY3, which activates the PKA substrate phosphorylation. Moreover, CLCF1 deletion in BAT protects the mice against diet-induced obesity by promoting BAT activation and further attenuating impaired glucose and lipid metabolism. Therefore, our results reveal the essential role of CLCF1 in regulating BAT thermogenesis and suggest that inhibiting CLCF1 signaling might be a potential therapeutic strategy for improving obesity-related metabolic disorders. Show less

The global burden of renal diseases is increasingly severe, underscoring the need for in-depth exploration of the molecular mechanisms underlying renal disease progression and the development of potential novel biomarkers or therapeutic targets. Angiopoietin-like protein 4 (ANGPTL4) is a multifunctional cytokine involved in the regulation of key biological processes, such as glucose and lipid metabolism, inflammation, vascular permeability, and angiogenesis, all of which play crucial roles in the pathogenesis of kidney diseases. Over the past 2 decades, ANGPTL4 has been regarded as playing a pivotal role in the progression of various kidney diseases, prompting significant interest from the scientific community regarding its potential clinical utility in renal disorders. This review synthesizes the available literature, provides a concise overview of the molecular biological effects of ANGPTL4, and highlights its relationship with multiple renal diseases and recent research advancements. These findings underscore the important gaps that warrant further investigation to develop novel targets for the prediction or treatment of various renal diseases. Show less

Although progress has been made in the treatment of LAUD, the survival rate for patients remains poor. An in-depth grasp of the molecular pathways implicated in LUAD progression is vital for improving diagnosis and treatment strategies. This study aims to explore novel molecular mechanisms driving LUAD progression and identify new potential prognostic biomarkers for LAUD patients. Based on mass spectrometry analysis of human LUAD tissues, HNRNPD and MAD2L2 were identified as potential key proteins involved in LUAD progression. Subsequently, the interplay between HNRNPD and MAD2L2 was examined through dual-luciferase reporter assays, RNA-seq analysis, and various molecular biology techniques. Ultimately, the role of the HNRNPD/MAD2L2 axis in LUAD advancement and its potential as a prognostic indicator were investigated utilizing LUAD specimens, cell lines, and xenograft mouse models. In human LAUD tissues and cell lines, elevated levels of HNRNPD and MAD2L2 proteins were discovered. It was determined that HNRNPD binds to the MAD2L2 promoter, forming a regulatory axis at the transcriptional level. Subsequently, both in vitro and in vivo data demonstrated that the downregulation of the HNRNPD/MAD2L2 axis inhibited LUAD progression, while this effect could be rescued by MAD2L2 upregulation. Conversely, the upregulation of the HNRNPD/MAD2L2 axis facilitated LUAD progression, and this outcome could be reversed by MAD2L2 knockdown. Mechanistically, the downregulation of HNRNPD suppressed the promoter activity and transcription of MAD2L2, thus inhibiting the PI3K/HIF1α/ANGPTL4 pathway and tumor angiogenesis. Finally, it was confirmed that LUAD patients with high levels of both HNRNPD and MAD2L2 exhibited the poorest prognosis. Therefore, the HNRNPD/MAD2L2 axis has been identified as a potential predictive indicator for LUAD patients. The HNRNPD/MAD2L2 axis facilitates LUAD progression and serves as a potential prognostic biomarker. Show less

Lung adenocarcinoma (LUAD) is one of the most common malignant tumors with high mortality. Anoikis resistance is an important mechanism of tumor cell proliferation and migration. Our research is devoted to exploring the role of anoikis in the diagnosis, classification, and prognosis of LUAD. We downloaded the expression profile, mutation, and clinical data of LUAD from The Cancer Genome Atlas (TCGA) database. The "ConsensusClusterPlus" package was then used for the cluster analysis, and least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analyses were used to establish the prognostic model. We verified the reliability of the model using a Gene Expression Omnibus (GEO) data set. A gene set variation analysis (GSVA) was conducted to investigate the functional enrichment differences in the different clusters and risk groups. The CIBERSORT algorithm and a single-sample gene set enrichment analysis (ssGSEA) were used to analyze immune cell infiltration. The tumor mutation burden (TMB) and Tumor Immune Dysfunction and Exclusion (TIDE) scores were used to evaluate the patients' sensitivity to immunotherapy. Immunohistochemical staining of tissue microarrays was used to verify the correlation between ANGPTL4 expression and the clinicopathological characteristics and prognosis of LUAD patients. First, we screened 135 differentially expressed anoikis-related genes (ARGs) and 23 prognosis-related ARGs from TCGA-LUAD data set. Next, 494 LUAD samples were allocated to cluster A and cluster B based on the 23 prognosis-related ARGs. The Kaplan-Meier (K-M) analysis showed the overall survival (OS) of cluster B was better than that of cluster A. The clinicopathological characteristics and functional enrichment analyses revealed significant differences between clusters A and B. The tumor microenvironment (TME) analysis showed that cluster B had more immune cell infiltration and a higher TME score than cluster A. Subsequently, a LASSO Cox regression model of LUAD was constructed with ten ARGs. The K-M analysis showed that the low-risk patients had longer OS than the high-risk patients. The receiver operating characteristic curve, nomogram, and GEO data set verification results showed that the model had high accuracy and reliability. The level of immune cell infiltration and TME score were higher in the low-risk group than the high-risk group. The high-risk group had stronger sensitivity to immune checkpoint block therapy and weaker sensitivity to chemotherapy drugs than the low-risk group. ANGPTL4 expression was correlated with stage, tumor differentiation, tumor size, lymph node metastasis, and OS. We discovered novel molecular subtypes and constructed a novel prognostic model of LUAD. Our findings provide important insights into subtype classification and the accurate survival prediction of LUAD. We also identified ANGPTL4 as a prognostic indicator of LUAD. Show less

The association between serum angiopoietin-like 4 (ANGPTL4) levels and the severity of diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus remains unclear. A total of 1,115 type 2 diabetes mellitus patients were analyzed in this cross-sectional study. DKD index included DKD stages defined by estimated glomerular filtration rate, the albuminuria grades and DKD risk management grades. Serum levels of ANGPTL4 and other biomarkers were detected. Multivariable-adjusted linear and logistic analyses were used to study the association between ANGPTL4 and DKD. The protein levels of ANGPTL4 were assessed in the kidney. Renal tubular cells were stimulated with glucose to study ANGPTL4 expression. Compared with the participants in the third or fourth quantile of ANGPTL4, those in the first or second quantile of ANGPTL4 were younger, with lower glycated hemoglobin, triglycerides and urinary albumin creatinine ratio (all P < 0.05). There was a negative nonlinear relationship between ANGPTL4 and estimated glomerular filtration rate in type 2 diabetes mellitus patients. One standard deviation increased serum ANGPTL4 levels, the odds ratio of having DKD was 1.40 (95% confidence interval 1.08-1.80). The mediation analysis showed that triglycerides did not mediate the association between ANGPTL4 and DKD. Furthermore, ANGPTL4 could be the strongest among multiple panels of biomarkers in its association of DKD. Compared with mice at 8 weeks-of-age, db/db mice at 18 weeks-of-age had increased ANGPTL4 expression in glomeruli and tubular segments. In vitro, glucose could stimulate ANGPTL4 expression in tubular cells in a dose-dependent manner. ANGPTL4 could be a potential marker and therapeutic target for DKD treatment. Show less

It is crucial to understand the glucose control within our bodies. Bariatric/metabolic surgeries, including laparoscopic sleeve gastrectomy (LSG) and Roux-en-Y gastric bypass (RYGB), provide an avenue for exploring the potential key factors involved in maintaining glucose homeostasis since these surgeries have shown promising results in improving glycemic control among patients with severe type 2 diabetes (T2D). For the first time, a markedly altered population of serum proteins in patients after LSG was discovered and analyzed through proteomics. Apolipoprotein A-IV (apoA-IV) was revealed to be increased dramatically in diabetic obese patients following LSG, and a similar effect was observed in patients after RYGB surgery. Moreover, recombinant apoA-IV protein treatment was proven to enhance insulin secretion in isolated human islets. These results showed that apoA-IV may play a crucial role in glycemic control in humans, potentially through enhancing insulin secretion in human islets. ApoA-IV was further shown to enhance energy expenditure and improve glucose tolerance in diabetic rodents, through stimulating glucose-dependent insulin secretion in pancreatic β cells, partially via Gαs-coupled GPCR/cAMP (G protein-coupled receptor/cyclic adenosine monophosphate) signaling. Furthermore, T55-121, truncated peptide 55-121 of apoA-IV, was discovered to mediate the function of apoA-IV. These collective findings contribute to our understanding of the relationship between apoA-IV and glycemic control, highlighting its potential as a biomarker or therapeutic target in managing and improving glucose regulation. Show less

The role of circulating metabolome in cognitive impairment is inconclusive, and whether the associations are in the severity-dependent manner remains unclear. We aimed to identify plasma metabolites associated with cognitive impairment and evaluate the added predictive capacity of metabolite biomarkers on incident cognitive impairment beyond traditional risk factors. In the Rugao Longevity and Ageing Study (RuLAS), plasma metabolome was profiled by nuclear magnetic resonance spectroscopy. Participants were classified into the cognitively normal, moderately impaired, and severely impaired groups according to their performance in two objective cognitive tests. A two-step strategy of cross-sectional discovery followed by prospective validation was applied. In the discovery stage, we included 1643 participants (age: 78.9 ± 4.5 years) and conducted multinomial logistic regression. In the validation stage, we matched 68 incident cases of cognitive impairment (moderately-to-severely impaired) during the 2-year follow-up with 204 cognitively normal controls by age and sex at a 1:3 ratio, and conducted conditional logistic regression. We identified 28 out of 78 metabolites cross-sectionally related to severely impaired cognition, among which IDL particle number, ApoB in IDL, leucine, and valine were prospectively associated with 28%, 28%, 29%, and 33% lower risk of developing cognitive impairment, respectively. Incorporating 13 metabolite biomarkers selected through Lasso regression into the traditional risk factors-based prediction model substantially improved the ability to predict incident cognitive impairment (AUROC: 0.839 vs. 0.703, P < 0.001; AUPRC: 0.705 vs. 0.405, P < 0.001). This study identified specific plasma metabolites related to cognitive impairment. Incorporation of specific metabolites substantially improved the prediction performance for cognitive impairment. Show less