👤 Guanghui Zheng

Lipoprotein(a) [Lp(a)] is a well-established independent risk factor for cardiovascular disease. However, the long-term effects of Lp(a) on coronary plaque phenotype remain unclear. To explore the potential association between Lp(a) levels and coronary plaque volume, composition, and progression using coronary computed tomography angiography (CCTA). Patients with available data for Lp(a) and underwent baseline CCTA examinations between January 2009 to December 2015 and subsequently underwent a follow-up coronary CTA were retrospectively enrolled. Quantitative CCTA analyses measured plaque length, total plaque volume and composition volume. Patients were categorized into an elevated Lp(a) group (≥30 mg/dL) and a normal Lp(a) group (<30 mg/dL). The association between Lp(a) and baseline plaque characteristic and progression were investigated in linear mixed-effects models adjusted for clinical factors. Subgroup analyses were also conducted. Among 453 patients (mean age 64.7 years, 77.7% male) with a median follow-up of 6.15 years. elevated Lp(a) was linked to higher baseline plaque burden (all Elevated Lp (a) level was associated with high coronary artery plaque burden at baseline and rapid progression of LAP at follow-up. Lp(a) may serve as a significant residual risk factor in seemingly "low-risk" populations. Show less

This study aims to examine the health characteristics of female sex workers (FSWs) in entertainment venues and to investigate the relationship between these characteristics and sleep quality. This study employed a cross-sectional design and was conducted from January to April 2024 in Wuhan, China. Participants were FSWs recruited through snowball sampling from entertainment venues, including hotels, restaurants, nightclubs, karaoke bars and dance halls. Data were collected via structured questionnaires covering sociodemographic information, work experience, psychological stress, health status, sleep quality and circadian rhythms. Latent profile analysis (LPA) was employed to identify health characteristic profiles among FSWs, and multivariate logistic regression was used to examine the associations between these profiles and sleep quality. Among the 1,036 FSWs surveyed, 45.1% had poor sleep quality. LPA classified FSWs’ health characteristics into three profiles: the high overall functioning group, the lower physical–emotional functioning group and the lower psychosocial functioning group. Multivariate logistic regression analysis showed that FSWs in the lower physical–emotional functioning group had higher odds of poor sleep quality (OR = 2.184) compared with those in the high overall functioning group. FSWs in the lower psychosocial functioning group had substantially higher odds of poor sleep quality (OR = 7.755) than that in the high overall functioning group. FSWs demonstrate substantial heterogeneity in health characteristics and exhibit lower overall sleep quality compared with the general population. Psychological and physiological factors are major influencing factors for their sleep quality, suggesting the importance of prioritising mental and physical health in this population. Show less

This cross-sectional study aimed to examine the associations between the 24-h movement behaviors and mental health among university students in China, and to determine the optimal behavioral balance based on the top 5% of model-predicted mental health outcomes using compositional data analysis. A total of 6,084 university students aged 17–24 years in Southwest China self-reported their daily durations of moderate-to-vigorous-intensity physical activity (MVPA), light-intensity physical activity (LPA), sedentary behavior (SED), and sleep (SLP). They were stratified by gender and then randomly and equally assigned to the “recommendation” group and the “validation” group. Using compositional data analysis, time-use compositions (MVPA, LPA, SED, SLP) were transformed into isometric log-ratios (with quadratic terms as needed) and subsequently used in regression models to predict the three mental health outcomes. All possible combinations of motion components were examined to determine the combination with the highest correlation (top 5%) for each outcome. Through research and analysis of the recommendation groups, the optimal combination of average (range) time usage is determined as follows: for males, MVPA 92 (60–110) min/day, LPA 361 (310–400) min/day, SED 372 (350–480) min/day, SLP 614 (530–680) min/day; for females, MVPA 58 (40–90) min/day, LPA 290 (180–390) min/day, SED 445 min (400–560), SLP 665 (580–740) min/day. The recommended durations served as benchmarks for the validation group. Participants who met the optimal 24-h movement behavior time showed significantly lower depression (males: β = –1.290, The optimal 24-h movement behavior time differs between men and women. Males tend to require a longer optimal MVPA duration than females, while females require a longer optimal SLP duration than males. The findings provide valuable reference for developing 24-h movement guidelines and promoting healthy and balanced lifestyles among university students. [Image: see text] The online version contains supplementary material available at 10.1186/s12889-026-26534-x. Show less

Illness perceptions have been associated with outcomes in patients with atrial fibrillation (AF). This study aimed to identify distinct illness perception profiles in patients with AF and examine their associations with psychological and physical responses. A total of 150 patients with AF were enrolled in this study. Illness perception profiles were identified using latent profile analysis (LPA). Model fit indices were evaluated to determine the optimal class solution. Logistic regression analyses were conducted to examine the associations between illness perception profiles and psychological and physical outcomes, including Generalized anxiety disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), 12-Item Short Form Health Survey (SF-12) and University of Toronto atrial fibrillation severity scale (AFSS). A two-class model was identified as optimal, comprising a "Reactive-Minimizing" profile (Class 1, 49%) and a "Symptom-Helplessness" profile (Class 2, 51%). Univariate logistic analysis revealed significant differences between classes in age, AF type, work status, PHQ-9, AFSS-symptoms, and AFSS-burden. In the multivariable logistic regression adjusted for age and sex (logistic outcome: Class 2 vs. Class 1), higher AFSS-burden scores were independently associated with the "Symptom-Helplessness" profile (OR = 1.26, 95% CI: 1.09-1.45, p = 0.001). Conversely, higher PHQ-9 scores were associated with the "Reactive-Minimizing" profile (OR for Symptom-Helplessness = 0.92, 95% CI: 0.86-0.99, p = 0.018). Person-centered illness perception profiling revealed two distinct cognitive-emotional patterns in patients with AF that were associated with depressive symptoms and symptom burden, highlighting their potential value for individualized psychological and clinical management. Show less

Through the selective breeding of superior strains, livestock and poultry can achieve enhanced disease resistance and production performance, thereby improving farming efficiency and increasing chicken meat yield. This study analyzed the expression of gut health-related genes, cecal microbiota, and untargeted serum metabolomics in Wenchang chickens from the NS strain (Normal strain) and the AFS strain (Antibiotic-free strain), and explored the relationships between their cecal microbiota and serum metabolites. Our results show that in the ileum, antioxidant-related indicators T-AOC (P < 0.05), T-SOD (P < 0.05), and GSH-PX (P < 0.05) were significantly higher in the AFS strain than in the NS strain, while MDA (P < 0.05) was significantly lower in the AFS strain than in the NS strain. The mRNA expression level of RORγt/FoxP3, which is related to immune regulation, was significantly lower in the AFS strain than in the NS strain (P < 0.05). The differential microorganisms in the cecum primarily included Muribaculum, Cryptobacteroides, Blautia, Enterocloster, Lachnoclostridium, Hydrogenoanaerobacterium, Ruminococcus, Subdoligranulum, Clostridioides, and Evtepia. The main differential metabolites in serum included folinic acid, biotin, lysophosphatidic acid (LPA), 3-hydroxy-3-methylbutanoic acid, 3-hydroxybutyric acid, and others. The differential metabolites are primarily enriched in the following metabolic pathways: gap junction, glycolipid metabolism, and fatty acid biosynthesis. In addition, the Pearson correlation analysis between the gut microbiota and serum metabolites showed that Blautia was positively correlated with folinic acid (P < 0.05) and biotin (P < 0.05); Lachnoclostridium was positively correlated with biotin (P < 0.01); and Ruminococcus was positively correlated with 3-hydroxybutyric acid (P < 0.05). This study mainly elucidates the metabolic characteristics of the antibiotic-free Wenchang chicken strain by analyzing gut microbiota and serum metabolites. Show less

Massive open online courses (MOOCs) have transformed global education, yet their long-term effectiveness and evolving learner engagement remain underexplored. This study aims to comprehensively evaluate a nursing MOOC over six years, examining learner engagement, identifying distinct learner profiles, and assessing changes across different developmental stages to inform future MOOC design. A retrospective study was conducted on 4171 completers of the Medical Nursing MOOC on a Chinese MOOC platform, covering eleven semesters from 2018 to 2023. Latent profile analysis (LPA) categorized learners based on unit test scores, and profile distributions were compared across the MOOC's developmental stages. The Medical Nursing MOOC attracted 69,642 registrants with a 5.99% completion rate. Among the 4171 individuals who completed the course, latent profile analysis identified six distinct learner types, demonstrating significant differences in overall learning effect (H = 2823.604, P < 0.001). The chi-squared analysis revealed significant differences between the proportions of the six profiles regarding MOOC developmental stages (χ Findings highlight the evolving role of MOOCs in nursing education. Despite challenges in long-term engagement, the increasing proportion of highly engaged learners and declining dropout rates indicate growing effectiveness and sustainability. These insights provide evidence-based guidance for optimizing MOOC design and implementation. Show less

Background Although substantial evidence has demonstrated the impact of obesity on brain structure and cognition, the heterogeneity of adiposity-particularly in terms of fat distribution patterns-and its differential neurologic effects remain poorly understood. Purpose To identify body fat distribution patterns with MRI and latent profile analysis (LPA) and their associations with brain structure measurements, cognition, and neurologic diseases. Materials and Methods This secondary analysis used prospective data from the UK Biobank, including health records and MRI scans of the brain, heart, and abdomen. Fat distribution profiles were classified using LPA based on eight body mass index (BMI)-adjusted MRI-derived fat quantification metrics. Differences in brain volume, white matter properties, cognition, and the risk of neurologic disorders were analyzed across profiles and relative to a benchmark lean profile; analyses were stratified by sex. Group differences were examined using analysis of covariance (ANCOVA) or rank-based ANCOVA. Results Among 25 997 participants (mean age, 55 years ± 7.4 [SD]; 13 536 female participants), LPA identified six profiles of body fat distribution in both sexes. Four high-adiposity patterns were identified, including the pancreatic-predominant profile (profile 1), with elevated proton density fat fraction (mean BMI-adjusted Show less

Despite substantial progress in the management of cardiovascular disease (CVD), lipoprotein(a) [Lp(a)] persists as a genetically determined risk factor that remains insufficiently explored. Both extremely high and low levels of Lp(a) are linked to adverse outcomes. Current diagnostic assays for Lp(a) lack standardization, and conventional lipid-lowering therapies exert minimal effects on its levels, resulting in limited treatment options specifically targeting Lp(a). To address these gaps, we conducted a comprehensive molecular and clinical review of Lp(a), examining its unique structure, genetic determinants, metabolic pathways, and the factors influencing its plasma concentration. Furthermore, we discuss emerging therapeutic strategies aimed at targeting Lp(a). Show less

Parenting behaviors, including autonomy support and psychological control, have been shown to significantly influence adolescent non-suicidal self-injury (NSSI). However, the underlying mechanisms linking heterogeneous parenting behavior profiles to adolescent NSSI remain unclear. This two-wave longitudinal study (with a one-year interval) of 742 Chinese adolescents (52.7% girls; Mage at Time 1 = 13.40 years) identified four distinct parenting profiles using latent profile analysis (LPA): Supportive (43.6% of the sample), Controlling (17.4%), Moderate Mixed Parenting (33.1%) and High Mixed Parenting (5.9%). Multicategorical serial mediation analysis revealed that adolescent emotion regulation difficulties and depressive symptoms serially mediated the relationship between parenting profiles and NSSI for adolescents in the Controlling, Moderate Mixed Parenting and High Mixed Parenting Profiles. Notably, these mediating effects were significant only for girls. These findings underscore the importance of adopting person-centered and sex-sensitive intervention strategies to mitigate the adverse effects of detrimental parenting behaviors on adolescent NSSI. Show less

l-Pipecolic acid (l-PA) and its hydroxylated derivatives (hydroxypipecolic acids, HPAs) are non-proteinogenic amino acids that serve as valuable chiral building blocks for pharmaceuticals, antibiotics, and natural products. Conventional chemical synthesis of these compounds often suffers from operational complexity, poor environmental compatibility, and insufficient stereochemical control, driving a shift toward biosynthetic approaches. This review covers recent advances in enzyme engineering and synthetic biology aimed at enabling sustainable and efficient production of l-PA and HPAs. For l-PA biosynthesis, various metabolic engineering strategies to enhance its production in microbes are introduced, and enzyme cascades, single enzyme strategy, and immobilized enzyme strategy involved in l-PA production are discussed. Regarding HPAs biosynthesis, which involves the regioselective hydroxylation of l-PA, their structural features, catalytic mechanisms, and recent progress in the biosynthesis of diverse HPAs, the protein engineering of proline hydroxylase is emphasized. Finally, we present future perspectives to accelerate the biosynthetic production of l-PA and HPAs. Show less

Prior evidence indicate that differences in treatment settings between patients with colorectal cancer (CRC) from high-poverty areas (HPA, ≥ 20% residents living under poverty level) and low-poverty areas (LPA) might have contributed to disparities in their health outcomes. We sought to determine whether certain hospitals predominantly provided surgical care for patients with CRC from HPAs and examine associated patient outcomes. We identified patients undergoing surgery for nonmetastatic CRC diagnosed during 1/1/2009-12/31/2019 from SEER-Medicare. We defined poverty-area-serving (PAS) hospitals as hospitals with ≥ 50% patients from HPAs. We compared in-hospital adverse events, 30 day readmission, and long-term mortality between patients from HPAs and LPAs treated at PAS and non-PAS hospitals using logistic and Cox regression. Our cohort included 81,992 patients with CRC (median age = 78 years, 53.8% female, 15.9% in HPAs) treated by 991 hospitals. The 180 (18.2%) PAS hospitals treated 64.2% of patients from HPAs versus 2.6% from LPAs. Compared with patients from LPAs treated at non-PAS hospitals, patients from HPAs treated at PAS hospitals had more frequent in-hospital adverse events (OR[95%CI] = 1.17[1.07-1.29]), 30-day readmission (OR[95%CI] = 1.33[1.20-1.47]), worse all-cause (HR[95%CI] = 1.16[1.10-1.22]), and cancer-specific mortality (HR[95%CI] = 1.23[1.15-1.32]). A group of PAS hospitals treated a significant proportion of patients with CRC from HPAs and few from LPAs and was associated with worse short- and long-term patient outcomes. These findings highlight the presence and negative impact of healthcare segregation by area-level poverty and systemic inequities faced by individuals from HPAs. Multilevel resources are needed to address quality of care and other healthcare-associated needs for individuals from disadvantaged areas. Show less

Childhood overweight/obesity poses a significant public health burden, closely linked to time allocation across various movement behaviors. We aimed to clarify the compositional associations between 24-h time allocation to sleep, sedentary behavior (SB), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) and overweight/obesity risk among children aged 2-6 years. This cross-sectional study enrolled 5372 children aged 2-6 years from Beijing. Isotemporal substitution modeling and weighted quantile sum (WQS) regression were adopted. Among all children (mean age 4.52 years; 49.9 % girls), 26.13 % were overweight or obese. Each additional 5 min of daily SB was associated with a higher odds of overweight/obesity (odds ratio [OR] = 1.10, 95 % confidence interval [CI]: 1.02-1.19, p = 0.02), while each 5-min increment in sleep was linked to reduced odds (OR = 0.91, 95 % CI: 0.84-0.98, p = 0.02). Isotemporal substitution analyses indicated that replacing 5 min of SB with sleep (OR = 0.81, 95 % CI: 0.67-0.97, p = 0.02), LPA (OR = 0.84, 95 % CI: 0.72-0.98, p = 0.03), or MVPA (OR = 0.87, 95 % CI: 0.76-1.01, p = 0.06) was associated with lower overweight/obesity risk. Replacing SB with sleep or physical activities reduced the risk. Further WQS analyses revealed that sleep exerted the strongest weight in the behavioral mixture influencing childhood overweight/obesity. This study provides evidence that theoretical reallocation of sedentary time to sleep or physical activities was associated with a significantly lower risk of overweight/obesity in children aged 2-6 years. Importantly, sleep appears to be the most potent component in the behavioral mixture, reinforcing the importance of holistic, multi-behavioral approaches in early childhood obesity prevention strategies. Show less

Physical activity (PA) is an important non-pharmacological intervention that can slow the progression of Chronic Obstructive Pulmonary Disease (COPD). Unfortunately, PA levels in older adults with COPD remain low, and there is substantial heterogeneity within this population. Therefore, identifying potential subgroups is essential for developing targeted interventions. The purpose of this study is to identify latent profiles of PA, and explore the associated factors to inform personalized interventions for this population. This multicenter cross-sectional study was conducted from November 2024 to March 2025 at a tertiary hospital and four community health service centers in the Changning District of Shanghai. The revised International Physical Activity Questionnaire-Long (IPAQ-L) was utilized to assess PA and sedentary behavior. Latent profile analysis (LPA) was employed to classify the subgroups, followed by multinomial logistic regression to explore influencing factors. A total of 423 older adults with COPD (male N = 383; aged 60-89) were included in this study. LPA identified three distinct PA profiles, named the "moderate activity-moderate sedentary-low barrier (C1) group", the "low activity-high sedentary-high barrier (C2) group", and the "high activity-low sedentary-moderate barrier (C3) group". The factors were significantly associated with PA, including Body Mass Index (BMI), disease duration, number of hospitalizations, GOLD stage, COPD Assessment Test (CAT) score, exercise self-efficacy, and exercise social support (p < 0.05). LPA identified three subgroups of PA in older adults with COPD. The results of this research will facilitate targeted interventions for each of the identified subgroups with distinct characteristics, thereby enhancing the management of COPD and reducing healthcare burdens. Show less

To develop a deep-learning model for segmenting and classifying adrenal nodules as either lipid-poor adenoma (LPA) or nodular hyperplasia (NH) on contrast-enhanced computed tomography (CECT) images. This retrospective dual-center study included 164 patients (median age 51.0 years; 93 females) with pathologically confirmed LPA or NH. The model was trained on 128 patients from the internal center and validated on 36 external cases. Radiologists annotated adrenal glands and nodules on 1-mm portal-venous phase CT images. We proposed Mamba-USeg, a novel state-space models (SSMs)-based multi-class segmentation method that performs simultaneous segmentation and classification. Performance was evaluated using the mean Dice similarity coefficient (mDSC) for segmentation and sensitivity/specificity for classification, with comparisons made against MultiResUNet and CPFNet. From per-slice segmentation, the model yielded an mDSC of 0.855 for the adrenal gland; for nodule segmentation, it achieved mDSCs of 0.869 (LPA) and 0.863 (NH), significantly outperforming two previous models-MultiResUNet (LPA, p < 0.001; NH, p = 0.014) and CPFNet (LPA, p = 0.003; NH, p = 0.023). Classification performance from per slice demonstrated sensitivity of 95.3% (95% confidence interval [CI] 91.3-96.6%) and specificity of 92.7% (95% CI: 91.9-93.6%) for LPA, and sensitivity of 94.2% (95% CI: 89.7-97.7%) and specificity of 91.5% (95% CI: 90.4-92.4%) for NH. The classification accuracy for patients from external sources was 91.7% (95% CI: 76.8-98.9%). The proposed multi-class segmentation model can accurately segment and differentiate between LPA and NH on CECT images, demonstrating superior performance to existing methods. Question Accurate differentiation between LPA and NH on imaging remains clinically challenging yet critically important for guiding appropriate treatment approaches. Findings Mamba-Useg, a multi-class segmentation model utilizing pixel-level analysis and majority voting strategies, can accurately segment and classify adrenal nodules as LPA or NH. Clinical relevance The proposed multi-class segmentation model can simultaneously segment and classify adrenal nodules, outperforming previous models in accuracy; it significantly aids clinical decision-making and thereby reduces unnecessary surgeries in adrenal hyperplasia patients. Show less

Subcutaneous fat deposition critically impacts duck meat quality and feed efficiency. We monitored growth and fat deposition in ducks from 30 to 70 days, performed transcriptomics on adipose tissue, and established an in vitro duck preadipocyte model to assess Fat deposition peaked at 50 days. Show less

Excessive fat deposition compromises the health of companion animals and the carcass quality of food-producing livestock. Follicle-stimulating hormone (FSH) has been demonstrated to play a critical regulatory role in fat deposition, with its function dependent on binding to its cognate receptor (FSHR) in target organs. In this study, female Sprague-Dawley (SD) rats were immunized with subunit vaccines targeting FSHβ and FSHR, respectively, and obesity was induced by a high-fat diet (HFD) to investigate the effects of these vaccines on adipose deposition in female mammals. The results revealed that active immunization against FSHβ and FSHR effectively suppressed HFD-induced obesity and the elevated serum triglyceride levels. Histological observations found that FSHβ and FSHR immunity decreased adipocyte hypertrophy and increased the cross-sectional area of skeletal muscle fibers caused by HFD, partially ameliorated HFD-associated hepatic sinusoidal spaces and vacuolated steatosis in the cytoplasm. RT-qPCR results indicated that FSHβ and FSHR immunization inhibited lipid synthesis by downregulating adipogenic-related genes, including C/ebpα, Creb, Pparγ, Lpl, and Perilipin. These findings suggest that both vaccines can mitigate HFD-induced adipose deposition in rats, with the FSHR vaccine exhibiting more pronounced effects. This study provides a novel strategy to mitigate pet health deterioration caused by excessive obesity and the decline in carcass quality of food-producing livestock. Show less

Previous studies have reported that IGF-1 single nucleotide polymorphism is associated with milk fat traits, but they are limited to trait association analysis. We previously identified a synonymous mutation c.258 A > G (rs322131043) in IGF-1, which influenced IGF-1 expression and caused differences in metabolism. This study aims to reveal a new regulatory function of IGF-1 c.258 A > G on milk fat metabolism. Livers transcriptomics was used to identify differentially expressed genes between wild type mice (WT) and IGF-1 c.258 A > G mice (Homozygous mutation, Ho). Subsequently, lipid phenotyping, followed by metabolomics of mammary glands was conducted to verify transcriptomic findings. Finally, the potential mechanisms underlying IGF-1 c.258 A > G-induced changes in milk fat metabolism were explored though integrated transcriptomics-metabolomics analysis and Western blot validation. IGF-1 c.258 A > G changed the expression of genes related to lipid metabolism in livers of 8-week-old mice, including a 10-fold ‌lipoprotein lipase (LPL) expression (P < 0.01) and ‌80-90 % downregulation of acyl-CoA thioesterase 3 (Acot3), enoyl-Coenzyme A delta isomerase 3 (Eci3), fatty acid synthase (FASN), and sterol regulatory element binding protein1 (SREBP1) expression (P < 0.01). The milk fat content of Ho dams on the second day of lactation (L2D) was decreased 50 % than that of WT dams (P < 0.05), although there was no significant difference in adipose tissue of 8-week-old WT/Ho mice. The levels of triglycerides, sphingolipids and their related fatty acyl chains (10:0, 26:0, 14:2, 20:4, 11:3, 19:0) in mammary glands of L2D Ho dams were reduced 10-50 % observed by lipid metabolomics. And combined with transcriptomics and Western blot, the data suggested that a ‌2.5-fold upregulation of LPL expression‌ (P < 0.05) may contribute to the milk fat metabolism changes mediated by the ‌ IGF-1 c.258 A > G. This study revealed new function of IGF-1 c.258 A > G on milk fat metabolism, thereby informing the development of targeted genetic breeding on milk fat trait. Show less

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

Reticulophagy regulator 1 (RETREG1)/Family with sequence similarity 134 member B (FAM134B) is a selective endoplasmic reticulum (ER)-phagy receptor that mediates starvation-induced macro-ER-phagy, but whether it participates in other pathways mediating ER turnover has remained unclear. Here, we unveil a previously unrecognized role for RETREG1 in micro-ER-phagy and show how the murine leukemia virus (MLV) accessory protein glycosylated group-specific antigen (glycoGag) exploits this pathway to antagonize the host restriction factor SERINC5 (serine incorporator 5). GlycoGag binds SERINC5 in the endoplasmic reticulum (ER) and selectively recruits RETREG1 to eliminate SERINC5 through an autophagosome-independent process that bypasses ATG3 (autophagy-related), ATG5, ATG7, BECN1 (Beclin-1), LC3 (microtubule-associated protein 1 light chain 3) lipidation, and PIK3C3 (phosphatidylinositol 3-kinase catalytic subunit type 3)/hVPS34 (vacuolar protein sorting 34). RETREG1 knockout abolishes degradation of ER-retained SERINC5, whereas endolysosomal turnover of surface SERINC5 remains partially intact, demonstrating that glycoGag utilizes dual ER-phagy and endolysosomal routes to suppress SERINC5. These findings expand the functional repertoire of RETREG1 in autophagy, identify that retroviruses repurpose micro-ER-phagy to circumvent SERINC5-mediated restriction, and reveal ER-phagy as an understudied battleground in the ongoing arms race between cellular restriction factors and viral accessory proteins. Show less

Epithelial-mesenchymal transition (EMT) plays a critical role in tumor progression; however, the underlying molecular mechanisms of EMT in papillary thyroid carcinoma (PTC) remain incompletely understood. This study aimed to investigate EMT-related mechanisms in PTC using an integrative approach combining single-cell RNA sequencing and machine learning. Differentially expressed genes (DEGs) between PTC and normal thyroid tissues were identified, and EMT-related candidate genes were obtained by intersecting DEGs with EMT-related genes (EMT-RGs). Prognostic genes were screened using univariate Cox regression, and a risk model was constructed based on 101 machine learning algorithm combinations. Patients were stratified into high- and low-risk groups (HRG and LRG) according to risk scores, and the model was validated in an internal cohort. Additional analyses included nomogram construction, immune infiltration profiling, tumor mutational burden (TMB) assessment, drug sensitivity prediction, and molecular regulatory network analysis. Prognostic gene expression was further validated in vitro. Eight EMT-related prognostic genes (TYRO3, E2F1, TNFSF15, TGFBR3, PTX3, FHL2, SNAI1, and WT1) were identified. Patients in the HRG exhibited significantly poorer overall survival than those in the LRG. The nomogram showed good predictive accuracy for survival estimation. Immune infiltration analysis revealed significant differences between risk groups across six immune-related features. Splice site-related mutations were predominantly observed in the LRG but were absent in the HRG. Drug sensitivity analysis indicated higher sensitivity to BIRB.0796 in the LRG, whereas ABT-263, AG-014699, BX-795, and DMOG were more effective in the HRG. Single-cell analysis identified fibroblasts as key cell populations, with FHL2, PTX3, and TGFBR3 showing increased activity during critical differentiation stages. In vitro experiments confirmed expression patterns consistent with bioinformatics findings. This study identifies eight EMT-related prognostic genes in PTC and highlights their potential value as biomarkers for prognostic evaluation and therapeutic stratification. Show less

Sepsis, characterized as a systemic inflammatory response triggered by pathogen invasion, represents a continuum that may progress from mild systemic infection to severe sepsis, potentially culminating in septic shock and multiple organ dysfunction syndrome. A pivotal element in the pathogenesis and progression of sepsis involves the significant disruption of oncological metabolic networks, where cells within the pathological milieu exhibit metabolic functions that diverge from their healthy counterparts. Among these, purine metabolism plays a crucial role in nucleic acid synthesis. However, the contribution of Purine Metabolism Genes (PMGs) to the defense mechanisms against sepsis remains inadequately explored. Leveraging bioinformatics, this study aimed to identify and substantiate potential PMGs implicated in sepsis. The approach encompassed a differential expression analysis across a pool of 75 candidate PMGs. Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) were employed to assess the biological significance and pathways associated with these genes. Additionally, Lasso regression and Support Vector Machine-Recursive Feature Elimination (SVM-RFE) methodologies were implemented to identify key hub genes and evaluate the diagnostic potential of nine selected PMGs in sepsis identification. The study also examined the correlation between these hub PMGs and related genes, with validation conducted through expression level analysis using the GSE13904 and GSE65682 datasets. The study identified twelve PMGs correlated with sepsis, namely AK9, ENTPD3, NUDT16, GMPR2, PKM, RRM2B, POLR2J, POLE3, ADCY3, ADCY4, ADSSL1, and AMPD1. Functional analysis revealed their involvement in critical processes such as purine nucleotide and ribose phosphate metabolism. The diagnostic capability of these PMGs to effectively differentiate sepsis cases underscored their potential as biomarkers. This research elucidates twelve PMGs associated with sepsis, providing valuable insights into novel biomarkers for this condition and facilitating the monitoring of its progression. These findings highlight the significance of purine metabolism in sepsis pathogenesis and open avenues for further investigation into therapeutic targets. Show less

Histone deacetylation has been shown to be related to memory decline in aging and neurodegenerative diseases. Chronic stress, which has been shown to induce histone deacetylation, is associated with cognitive impairment. In this study, we hypothesized that histone deacetylation induced by chronic stress contributes to cognitive dysfunction after long-term isoflurane anesthesia. A mouse model of 6-h isoflurane anesthesia was established. The repeated social defeat stress (RSDS) mouse model was established by repeated socialization of aggressive CD-1 mice and C57 mice. Plasma corticosterone levels were measured by ELISA assay. Cognitive function was assessed by the fear condition test. RbAp48-overexpression adenovirus was injected into the ventricles of mice and transfected into primary hippocampal neurons to enhance of RbAp48 expression. Immunofluorescence was employed to detect viral fluorescent protein expression. The expression levels of retinoblastoma-associated protein 48 (RbAp48), histone deacetylase 2(HDAC2), acetylation of H3K9 and H4K12 and brain-derived neurotrophic factor (BDNF) were detected by Western blot. Co-Immunoprecipitation (Co-IP) and Western blot were used to detect the interaction between RbAp48 and HDAC2. Mice inhaling isoflurane for 6 h exhibited more severe impairment of contextual fear memory and sustained elevation of plasma corticosterone levels compared to control group mice. Notably, RSDS mice demonstrated similar behavioral and plasma corticosterone patterns post-isoflurane anesthesia compared to anesthesia group and control group mice, accompanied by decreased acetylation of H3K9 and H4K12, reduced RbAp48 expression, elevated HDAC2 levels, and enhanced RbAp48-HDAC2 interaction. Overexpression of RbAp48 effectively ameliorated these alterations both in vivo and in vitro Perioperative chronic stress exacerbates cognitive dysfunction after 6-h long-term isoflurane anesthesia. The activity of RbAp48/HDAC2-induced histone deacetylation modification plays a critical role in these negative effects on cognition. Show less

ObjectivesThis study aimed to compare the effects of different exercise interventions on brain-derived neurotrophic factor (BDNF) levels in patients with neurodegenerative diseases and to explore regulatory factors.MethodsSearched PubMed, Scopus, Web of Science Core Collection, CNKI and Cochrane Library databases up to March 15, 2025. Bayesian network meta-analysis was conducted using R software, and meta-regression analyzed the moderating effects of training period and frequency.Results42 randomized controlled trials covering 1482 patients were included. The Surface Under the Cumulative Ranking (SUCRA) indicated that stretching training (SUCRA = 78.92) and high-intensity interval training (SUCRA = 69.73) were ranked higher than other exercise modalities and exhibited more favorable effect on BDNF enhancement, although neither demonstrated statistically significant superiority over the blank control. In contrast, combined training (SUCRA = 35.58), aerobic training (SUCRA = 35.17), and resistance training (SUCRA = 12.98) showed relatively lower potential for BDNF enhancement (blank control SUCRA = 67.62). Meta-regression analysis showed that the effect of combined training was significantly and positively correlated with intervention period ( Show less

BackgroundCurrent therapeutic strategies for Alzheimer's disease (AD) demonstrate limited efficacy in decelerating disease progression, underscoring an exigent need for the development of more potent disease-modifying therapeutics.ObjectiveThe primary aim of this research was to identify novel therapeutic targets to improve AD prognosis.MethodsFirst, we conducted a meta-analysis of brain tissue transcriptome datasets from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs) associated with AD. Next, Mendelian randomization (MR) and summary-based MR (SMR) analyses were utilized to screen for potential AD drug targets. Colocalization analyses were employed to examine whether DNA methylation, gene expression, and AD risk are driven by shared single nucleotide polymorphisms (SNPs). Finally, single-gene gene set enrichment analysis (GSEA), protein-protein interaction (PPI) networks, drug prediction, and molecular docking were employed to infer potential biological mechanisms.ResultsA meta-analysis of twelve brain tissue datasets revealed 262 druggable AD-related DEGs. According to MR analysis, Show less

Impaired glucose-stimulated insulin secretion (GSIS) is a hallmark of β cell dysfunction in diabetes. Epigenetic mechanisms govern cellular glucose sensing and GSIS by β cells, but they remain incompletely defined. Here, we found that BAF60a functions as a chromatin regulator that sustains biphasic GSIS and preserves β cell function under metabolic stress conditions. BAF60a was downregulated in β cells from obese and diabetic mice, monkeys, and humans. β cell-specific inactivation of BAF60a in adult mice impaired GSIS, leading to hyperglycemia and glucose intolerance. Conversely, restoring BAF60a expression improved β cell function and systemic glucose homeostasis. Mechanistically, BAF60a physically interacted with Nkx6.1 to selectively modulate chromatin accessibility and transcriptional activity of target genes critical for GSIS coupling in islet β cells. A BAF60a V278M mutation associated with decreased β cell GSIS function was identified in human donors. Mice carrying this mutation, which disrupted the interaction between BAF60a and Nkx6.1, displayed β cell dysfunction and impaired glucose homeostasis. In addition, GLP-1R and GIPR expression was significantly reduced in BAF60a-deficient islets, attenuating the insulinotropic effect of GLP-1R agonists. Together, these findings support a role for BAF60a as a component of the epigenetic machinery that shapes the chromatin landscape in β cells critical for glucose sensing and insulin secretion. Show less

Unimolecular multireceptor coagonists have emerged as a promising approach in the development of next-generation GLP-1 therapeutics. Herein, we describe the development of a long-acting and stapled GLP-1R/GIPR/GCGR triple agonist that exhibits balanced bioactivities comparable with those of their native ligands along with improved pharmacokinetic parameters. A robust and straightforward solid-phase Ugi macrocyclization strategy enables the facile synthesis of targeted peptides with a side-chain protractor attached on the exocyclic lactam bridge. In obese mice, the lead candidate UTG-4 demonstrates enhanced efficacy in promoting weight loss, suppressing food intake, and improving glucose tolerance and liver health compared to the clinically approved GLP-1R monoagonist semaglutide and GLP-1R/GIPR dual agonist tirzepatide. UTG-4 also exhibits remarkable antiatherosclerotic effects in the Show less

Colorectal cancer (CRC) is a leading cause of cancer mortality while diabetes is a recognized risk factor for CRC. Here we report that tirzepatide (TZP), a novel polypeptide/glucagon-like peptide 1 receptor (GIPR/GLP-1R) agonist for the treatment of diabetes, has a role in attenuating CRC growth. TZP significantly inhibited colon cancer cell proliferation promoted apoptosis in vitro and induced durable tumor regression in vivo under hyperglycemic and nonhyperglycemic conditions across multiple murine cancer models. As glucose metabolism is known to critically regulate colon cancer progression, spatial metabolomics results revealed that glucose metabolites are robustly reduced in the colon cancer regions of the TZP-treated mice. TZP inhibited glucose uptake and destabilized hypoxia-inducible factor-1 alpha (HIF-1α) with reduced expression and activity of the rate-limiting enzymes 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 3 (PFKFB3) and phosphofructokinase 1 (PFK-1). These effects contributed to the downregulation of glycolysis and the tricarboxylic acid (TCA) cycle. TZP also delayed tumor development in a patient-derived xenograft (PDX) mouse model accompanied by HIF-1α mediated PFKFB3-PFK-1 inhibition. Therefore, the study provides strong evidence that glycolysis-blocking TZP, besides its application in treating type 2 diabetes, has the potential for preclinical studies as a therapy for colorectal cancer used either as monotherapy or in combination with other anticancer therapies. 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 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