Conflicting data have explored the association between lipoprotein(a) [Lp(a)] and atherosclerotic cardiovascular disease (ASCVD) among individuals with different glucose metabolism statuses. We aimed Show more
Conflicting data have explored the association between lipoprotein(a) [Lp(a)] and atherosclerotic cardiovascular disease (ASCVD) among individuals with different glucose metabolism statuses. We aimed to prospectively evaluate this association and to assess whether it is modified by C-reactive protein (CRP). This population-based cohort study was derived from the UK Biobank database. Lp(a) and CRP were measured between 2006 and 2010. Cox proportional hazards models and restricted cubic spline curves were employed to assess the relationship between Lp(a) levels and time to ASCVD events. A total of 307 269 participants without prevalent ASCVD were included, comprising 253 746 individuals with normal glucose regulation (NGR), 38 020 with prediabetes, and 15 503 with diabetes. The mean age was 57 years (Q1-Q3: 50-63), and 55.3% were female. Over a median follow-up of 13.2 years, 29 521 ASCVD events occurred. Higher Lp(a) levels were associated with an increased risk of ASCVD across all glucose metabolism statuses. In fully adjusted models, the hazard ratio (95% confidence interval) for ASCVD comparing participants in the top 10% of Lp(a) with those in the bottom 33% was 1.28 (1.22-1.34) among those with NGR, 1.23 (1.12-1.35) among those with prediabetes, and 1.16 (1.02-1.31) among those with diabetes. No significant interactions were observed after stratification by CRP (<2/≥2 mg/L) across glucose metabolism groups (P for interaction >0.05). Elevated Lp(a) levels were associated with a higher risk of ASCVD across different glucose metabolism statuses, particularly among individuals with NGR and prediabetes, independent of baseline CRP levels. Show less
Myocardial ischemia/reperfusion (I/R) injury commonly occurs in patients undergoing cardiac or noncardiac surgeries, increasing perioperative mortality risk. Although numerous endogenous mediators rel Show more
Myocardial ischemia/reperfusion (I/R) injury commonly occurs in patients undergoing cardiac or noncardiac surgeries, increasing perioperative mortality risk. Although numerous endogenous mediators released during I/R contribute to myocardial damage, their mechanisms require further elucidation. We investigated whether lysophosphatidic acid (LPA), a bioactive phospholipid, mediates myocardial I/R injury by interacting with cardiac transient receptor potential vanilloid 1 (TRPV1). A TRPV1K710N knock-in mouse model was generated by CRISPR/Cas9, introducing a point mutation at K710, the known LPA-binding site on TRPV1. Langendorff perfused isolated hearts from TRPV1K710N and wild-type (WT) mice underwent global I/R injury with or without exogenous LPA (10 μM). Myocardial infarct size, coronary effluent LDH levels, and mitochondrial ultrastructure/function were assessed. Additionally, H9c2 cardiomyocytes were transfected with a pCMV6-entry plasmid carrying TRPV1-K710N or TRPV1-WT for mitochondrial calcium influx and cell viability assays. The V1-Cal peptide (1μM), targeting the K710 region, was applied ex vivo and in vitro to block LPA-TRPV1 interaction. TRPV1K710N hearts exhibited resistance to global I/R injury versus WT hearts, with reduced infarct size (28.3 ± 2.4% vs 39.9 ±2.3%, respectively, P= 0006), lower LDH levels, and attenuated mitochondrial damage. Exogenous LPA exacerbated I/R injury in WT hearts, increasing infarct size (63.7 ± 1.2% vs vehicle: 38.4 ± 2.4%; P <.0001), LDH release, and mitochondrial damage. TRPV1K710N hearts were resistant to LPA-induced injury, with no significant increase in infarct size after LPA treatment. Exogenous LPA induced pronounced swelling in mitochondria isolated from WT hearts, while mitochondria from TRPV1K710N hearts showed resistance to LPA challenge. In H9c2 cells, LPA significantly decreased viability in rTRPV1-WT cells and elevated mitochondrial calcium influx relative to rTRPV1-K710N cells. V1-Cal peptide attenuated LPA-mediated myocardial injury in WT hearts and reduced mitochondrial calcium overload in H9c2 cells. Blockade of the TRPV1 K710 site by K710N mutation or V1-Cal peptide mitigates LPA-mediated myocardial injury and mitochondrial damage/dysfunction in isolated mouse hearts. Targeting the cardiac LPA-TRPV1 interaction represents a promising therapeutic strategy against perioperative myocardial injury. Show less
The Climate Change Anxiety Scale (CCAS) is an emerging psychometric instrument designed to assess climate change anxiety (CCA). This study aimed to preliminarily identify reference cutoff scores and c Show more
The Climate Change Anxiety Scale (CCAS) is an emerging psychometric instrument designed to assess climate change anxiety (CCA). This study aimed to preliminarily identify reference cutoff scores and core items of the CCAS in a Chinese adult population. We conducted an online cross-sectional survey in China between May and June 2024, recruiting 653 Chinese adults (mean age = 32.62 ± 7.40 years; 53.8% female) via Wenjuanxing. CCA was assessed using the CCAS. External variables included generalized anxiety (Chinese GAD-7), self-rated sleep quality (single-item, past week), and self-reported experience of meteorological disasters (yes/no). Latent profile analysis (LPA) and receiver operating characteristic (ROC) analyses were used to derive reference cutoff scores, and network analysis was applied to identify core items. LPA supported a two-profile solution and yielded an overall reference cutoff score of 27.5, above which participants were categorized as having elevated CCA risk. Participants classified as high risk reported higher generalized anxiety, poorer sleep quality, and a higher likelihood of meteorological disaster experience. Sex-stratified analyses indicated different optimal cutoffs: 28.5 for males (sensitivity = 1.000; specificity = 0.982) and 26.5 for females (sensitivity = 0.986; specificity = 0.986). Network analysis further suggested that the item Show less
Postoperative symptoms in lung cancer patients are complex and dynamic, yet recovery is highly heterogeneous. Traditional analyses often fail to capture individual recovery trajectories, limiting the Show more
Postoperative symptoms in lung cancer patients are complex and dynamic, yet recovery is highly heterogeneous. Traditional analyses often fail to capture individual recovery trajectories, limiting the ability to provide personalized care. This study aimed to identify distinct postoperative symptom trajectories and their clinical predictors using a person-centered approach. We conducted a prospective longitudinal study with 394 patients undergoing uniportal video-assisted thoracoscopic surgery (uniportal VATS) for early-stage non-small cell lung cancer. Patient-reported symptoms were collected at 1, 7, 14, and 30 days postoperatively. Latent Profile Analysis (LPA) was used to identify distinct symptom profiles, and Latent Transition Analysis (LTA) modeled the transitions between these profiles over time. Multinomial logistic regression was used to identify predictors of these transitions. LPA identified two distinct recovery profiles: a "Rapid Recovery" group (C1) and a "High-Symptom, Slow Recovery" group (C2). The first postoperative week was a critical window, with 73.0% of patients in the High-Symptom, Slow Recovery group transitioning to the Rapid Recovery group. This transition rate slowed significantly in subsequent weeks. A higher ASA classification, use of a thicker chest tube, and extensive lymph node dissection predicted a slower recovery. Conversely, better pulmonary function (FEV1%, MVV%) facilitated a faster transition, while postoperative complications were associated with a negative trajectory shift. Postoperative recovery in lung cancer patients follows predictable, heterogeneous trajectories. This person-centered approach enables the early identification of high-risk patients based on preoperative and surgical factors. Understanding these distinct pathways allows for a shift from a one-size-fits-all model to staged, personalized interventions designed to optimize symptom management and enhance patient recovery. Show less
Parents of children with congenital heart disease (CHD) face chronic stress impairing family functioning and well-being. As a key protective factor, family resilience aids their adaptation. However, e Show more
Parents of children with congenital heart disease (CHD) face chronic stress impairing family functioning and well-being. As a key protective factor, family resilience aids their adaptation. However, existing research predominantly measures general family resilience, neglecting heterogeneous resilience patterns and subgroup profiles. Our study uses person-centered Latent Profile Analysis (LPA) to identify latent family resilience classes in Chinese culture to provide tailored support. This study adopted a cross-sectional survey design. From October 2024 to July 2025, convenience sampling was used to recruit 426 eligible parents of children with CHD from two tertiary hospitals in Yunnan Province, China. Data were collected using the General Information Questionnaire, Family Hardiness Index (FHI), Simplified Coping Style Questionnaire (SCSQ), and Social Support Rating Scale (SSRS). LPA was applied to classify the family resilience levels of these parents. Subsequently, univariate and multivariate ordinal logistic regression analyses were conducted to explore the factors associated with different latent classes of family resilience. A total of 400 valid questionnaires were collected, with an effective response rate of 93.9%. The mean total score for family resilience in parents of children with CHD was 58.13 ± 5.79, suggesting a moderate overall level of family resilience in this group. The family resilience of parents of children with CHD was classified into three latent profiles: “High family resilience responsibility-anchored type” ( Parents of children with CHD demonstrate heterogeneity in family resilience. Healthcare professionals should pay attention to the family resilience differences among parents of children with CHD and implement targeted intervention measures based on the characteristics of different subgroups, thereby enhancing parents’ family resilience and further promoting family well-being. The online version contains supplementary material available at 10.1186/s12889-025-26143-0. Show less
This study aimed to investigate the relationship between blood uric acid (UA), serum lipoprotein(a) [Lp(a)], and the severity of neurological damage in patients with acute penetrating artery occlusive Show more
This study aimed to investigate the relationship between blood uric acid (UA), serum lipoprotein(a) [Lp(a)], and the severity of neurological damage in patients with acute penetrating artery occlusive cerebral infarction combined with type 2 diabetes mellitus (T2DM). To evaluate the role of UA and Lp(a) levels as independent risk factors for neurological damage severity and poor prognosis, and to observe the therapeutic effect of tanshinone. Clinical data of patients were analyzed to compare differences in indicators between the mild and moderate groups, as well as between groups with good and poor prognosis. Patients in the moderate infarction group showed significantly higher levels of UA, Lp(a), and other biochemical markers, along with higher rates of unhealthy lifestyle habits and comorbidities. UA, Lp(a), and infarct diameter were independent risk factors for poor prognosis. Their combined prediction model demonstrated good sensitivity and specificity. Pre-treatment UA and Lp(a) levels were significantly positively correlated with pre-treatment NIHSS scores and post-treatment mRS scores, respectively. In patients with acute penetrating artery occlusive cerebral infarction combined with T2DM, blood uric acid and serum Lp(a) levels are associated with the severity of neurological damage and serve as independent risk factors for poor prognosis. Show less
The assessment of serious illness communication (SIC) competence has, to date, primarily utilized tools that are profession-specific and not explicitly designed using competency-based or person-center Show more
The assessment of serious illness communication (SIC) competence has, to date, primarily utilized tools that are profession-specific and not explicitly designed using competency-based or person-centered frameworks. To address these gaps, we developed and validated a new tool, the Assessment of Clinical Encounters - Communication Tool (ACE-CT). We convened a national panel of interprofessional SIC experts to develop and validate the ACE-CT using a three-phase multi-method approach. Phase 1 focused on item development through review of existing validated tools, and a Bayesian process in which panel members assessed item quality and item-domain correlation. Phase 2 involved item refinement and preliminary validation through stimulated recall interviews using a think-aloud technique. Phase 3 consisted of psychometric analyses for which panel members used the tool to assess video-recorded standardized patient encounters from interprofessional clinicians completing a SIC professional development intervention. In Phase 1, 37 relevant items from previously validated tools were identified, of which 11 items were removed due to redundance. Through the Bayesian process, 14 items were removed and 1 item was generated. Through Phase 2, 2 items were generated, 2 items were combined into 1, and remaining items were refined to optimize measurability and understandability. In Phase 3, reliability was demonstrated through evidence of high internal consistency and moderate reproducibility, both over time and across raters. The tool was found to be responsive and have sound construct validity through evidence of congruence, convergence and credibility. Raters found the tool to be intuitive, easy to complete, and that it accurately captured their perception of the quality of communication observed. The ACE-CT provides a reliable and valid approach to assessing SIC competence among interprofessional clinicians. Through its person-centered orientation, the ACE-CT provides an opportunity to objectively assess elements of SIC that patients and families value. Show less
We aimed to identify key molecules that can moderately enhance the compensatory capacity of beta cells during obesity. Single-cell RNA-seq was used to profile the RNA expression of islet cells from di Show more
We aimed to identify key molecules that can moderately enhance the compensatory capacity of beta cells during obesity. Single-cell RNA-seq was used to profile the RNA expression of islet cells from diet-induced obese mice and pregnant mice. The gene and protein expression levels of ectonucleotide pyrophosphatase/phosphodiesterase 2 (ENPP2) were verified by quantitative PCR and immunofluorescence, respectively. The roles of ENPP2 were investigated using gain-of-function and loss-of-function approaches in Min6 beta cells, global Enpp2-knockout mice and beta cell Enpp2-overexpressing transgenic (Enpp2-Tg) mice. Using single-cell RNA-seq, we demonstrated that proliferation is the primary and common mechanism for compensating for beta cell numbers during both mouse obesity and pregnancy, with proliferation being more pronounced in pregnancy than in obesity. Additionally, many differentially expressed genes were co-regulated in both conditions. Among these, the pro-proliferative phosphodiesterase ENPP2 showed the highest increase in beta cells of pregnant mice and a moderate increase in beta cells of obese mice. Overexpression or knockdown of ENPP2 in Min6 beta cells revealed that ENPP2 promoted beta cell proliferation, inhibited apoptosis and enhanced high-glucose-stimulated insulin secretion. These effects of ENPP2 were further validated in vivo using Enpp2-Tg mice. In Enpp2-knockout mice fed a high-fat diet, the deficiency of ENPP2 resulted in insufficient compensation of beta cells during obesity. The pro-proliferative role of ENPP2 in beta cells was mediated through the lysophosphatidic acid (LPA)-Akt/mammalian target of rapamycin (mTOR) signalling pathway via LPA receptor 2. However, the expression of ENPP2 was reduced in the mouse model of diabetes and in human participants with type 2 diabetes compared with non-diabetic control groups. Furthermore, ENPP2 was co-upregulated by a synergy of oestradiol and progesterone. ENPP2 may serve as a key regulator in beta cell compensation during obesity, and modulating its levels in beta cells could be a potential therapeutic target for mitigating beta cell deterioration in diabetes. Show less
Preschool children's activity patterns differ between weekdays and weekends. Weekdays are constrained by structured educational activities and parental commitments, which limit flexibility, while week Show more
Preschool children's activity patterns differ between weekdays and weekends. Weekdays are constrained by structured educational activities and parental commitments, which limit flexibility, while weekends provide opportunities for extra sleep (SLP), physical activity (PA), and reduced sedentary behavior (SB). This study aims to estimate optimal activity durations for both weekdays and weekends, based on the development of executive function (EF), fundamental movement skills (FMS), and physical fitness (PF) in preschool children. A total of 289 preschool children aged 3-6 years from four kindergartens in Zhejiang Province participated. PA and SLP were objectively measured using accelerometers and the Children's Sleep Quality Questionnaire. EF, which includes working memory, inhibitory control, and cognitive flexibility, was measured using the Early Years Toolbox (EYT). FMS were assessed using the test of gross motor development-3rd edition (TGMD-3), and PF was evaluated according to the National Physical Fitness Measurement Manual (Preschool Children Section). Compositional data regression models were applied to examine the relationship between 24-h movement behaviors and health outcomes on weekdays and weekends. Optimal time-use compositions for each outcome were estimated, and 3D quaternary plots were generated to define the Goldilocks Day at the center of the overlapping regions. 24-h movement behaviors were significantly correlated with EF (weekdays: F = 5.4, This study provides recommendations for time allocation on weekdays and weekends to support the healthy development of preschool children. Show less
Speed capability is critical for early childhood development, but troubling patterns are emerging in the motor fitness of Chinese preschoolers (3-6 years). This study investigated how compositional 24 Show more
Speed capability is critical for early childhood development, but troubling patterns are emerging in the motor fitness of Chinese preschoolers (3-6 years). This study investigated how compositional 24-h movement behaviours (sleep, sedentary behaviour [SB], light physical activity [LPA] and moderate-to-vigorous physical activity [MVPA]) relate to speed capability. Via compositional data analysis and isotemporal substitution modelling, we assessed relationships between 24-h movement behaviours (sleep, SB, LPA and MVPA) and speed capability in 275 preschoolers (mean age 4.98 ± 0.76 years). Participants completed 20-m sprint tests and 7-day accelerometry. Time-reallocation effects were quantified through pairwise behavioural substitutions (5- to 30-min durations), with all models adjusted for age, sex and BMI z scores (z-BMI). Higher relative MVPA time significantly predicted faster sprint times (β = -1.302, p < 0.001), while higher LPA predicted slower times (β = 1.570, p = 0.003). Reallocating 15 min from sleep, SB or LPA to MVPA reduced sprint times by 0.176, 0.201 and 0.385 s, respectively (all p < 0.05). Conversely, reallocating MVPA to other behaviours worsened performance. The effects exhibited asymmetry: displacing time away from MVPA impaired speed capability to a greater extent than equivalent gains in MVPA time improved it. MVPA is the strongest positive predictor of speed capability in preschoolers. Optimizing 24-h movement patterns by reallocating time from LPA or SB to MVPA is associated with enhanced speed performance, supporting targeted interventions for early childhood development. Show less
The Lipoprotein(a) (LPA) rs3798220 and rs10455872 polymorphisms have been indicated to be involved with the coronary heart disease (CHD) susceptibility. However, there are still differences between th Show more
The Lipoprotein(a) (LPA) rs3798220 and rs10455872 polymorphisms have been indicated to be involved with the coronary heart disease (CHD) susceptibility. However, there are still differences between the individual studies. To explore the correlation of LPA gene rs3798220 and rs10455872 polymorphisms and CHD, the current meta-analysis was performed. The random or fixed effect genetic models were used to calculate the pooled odds ratios (ORs) and their corresponding 95 % confidence intervals (CI). A significant association was found between LPA rs3798220 polymorphism and CHD under allelic (OR: 1.488), recessive (OR: 1.543), dominant (OR: 1.534), homozygous (OR: 1.544), heterozygous (OR: 1.498) and additive genetic models (OR: 1.531). There was also a significant association between LPA rs10455872 polymorphism and CHD under allelic (OR: 1.607), dominant (OR: 1.751), heterozygous (OR: 1.723) and additive genetic models (OR: 1.686). LPA rs3798220 and rs10455872 polymorphisms were significantly associated with increased CAD risk. The persons carrying C allele of LPA rs3798220 and G allele of LPA rs10455872 polymorphisms might have higher CHD risk than the T allele of rs3798220 or A allele of rs10455872 carriers. Show less
Previous research has suggested that high levels of internet use are associated with lower levels of physical activity. However, recent studies have yielded mixed findings. First, we aim to explore th Show more
Previous research has suggested that high levels of internet use are associated with lower levels of physical activity. However, recent studies have yielded mixed findings. First, we aim to explore the prevalence of internet addiction and sedentary behavior among college students. Second, we examine the relationship between sedentary behavior and body composition. Additionally, we employ latent profile analysis (LPA) to identify subgroups of internet addiction profiles and to explore the associations between these latent profiles and sedentary behavior. This cross-sectional study examined the relationship between sedentary behavior, internet addiction, and body composition among 369 Chinese college students. Sedentary behavior was assessed via self-reported sitting time, internet addiction was measured using a standardized questionnaire, and body composition was evaluated with the InBody 120 device. LPA, an individual-centered method, was used to identify homogeneous subgroups of internet addiction. 42.3 % of students exhibited internet addiction and 72.6 % reported ≥6 h of daily sitting. LPA revealed two distinct profiles of internet addiction-"Regular" (57.2 %) and "Internet addiction" (42.8 %)-highlighting its heterogeneous nature. The findings suggest that age (p = 0.296), gender (p = 0.304), and sedentary time (p = 0.954) may not be the primary factors contributing to these profiles. Policymakers and campus health programs should tailor interventions to distinct internet addiction subgroups. Further research is needed to examine psychological, behavioral, and social contributors, as well as long-term effects. Show less
Social isolation has emerged as an increasingly critical public health issue among adolescents with depression. This study aimed to identify latent subgroups of social isolation based on its manifesta Show more
Social isolation has emerged as an increasingly critical public health issue among adolescents with depression. This study aimed to identify latent subgroups of social isolation based on its manifestations among adolescent patients with depression and to explore the associated influencing factors. A cross-sectional study was conducted from August 2024 to March 2025 at a specialized psychiatric hospital in Nanjing, China. Data were collected using paper-based questionnaires, which included demographic characteristics, the General Social Alienation Scale (GSAS), the Patient Health Questionnaire for Adolescents (PHQ-A), and the Resilience Scale for Chinese Adolescents (RSCA). Latent profile analysis (LPA) was used to classify patterns of social isolation. Chi-square tests, analysis of variance (ANOVA), lasso regression, and multinomial logistic regression were used to analyze profile characteristics and their influencing factors. A total of 412 adolescent patients with depression were included. This study identified three distinct profiles of social isolation: "Low isolation - Fluctuating group" (24.7 %, n = 102), "Moderate isolation - Skeptical group" (39.6 %, n = 163), and "High isolation - Avoidant group" (35.7 %, n = 147). Patients were significantly more likely to be classified into the "High isolation - Avoidant group" if they had siblings, a longer duration of mental illness, more severe depressive symptoms, or lower psychological resilience (all p < 0.05). This study revealed the heterogeneity of social isolation among adolescents with depression through LPA and identified key influencing factors. These findings provide a theoretical foundation for the development of tailored intervention strategies. Show less
Digital technology is frequently regarded as a tool to alleviate loneliness and enhance mental health among older adults, yet its effectiveness remains contested. This study explores whether digital e Show more
Digital technology is frequently regarded as a tool to alleviate loneliness and enhance mental health among older adults, yet its effectiveness remains contested. This study explores whether digital exclusion moderates the association between loneliness and depressive, and examines symptom structure and depressive subtypes. Drawing on data form the 2018 and 2020 waves of the CHARLS (N = 13,719), we employed fixed-effect and mixed-effect models to assess the effect of loneliness on depressive and the moderating role of digital exclusion. Latent profile analysis (LPA) was used to identify symptoms subtypes, while symptom network analysis assessed centrality and network stability. Loneliness significantly predicted depressive symptoms across multiple models, demonstrating robust effects. Digital exclusion was positively associated with depressive symptoms but did not exhibit a statistically significant moderating effect on the loneliness-depression relationship (p > 0.05, Δβ ≈ 0.011). LPA identified six psychologically meaningful subtypes of depression. Symptom network analysis revealed that emotional and motivational symptoms occupied central positions within the network structure, whereas loneliness, despite its strong connections, exhibited relatively low centrality. The overall network structure remained stable over two years, with the digital access group exhibiting stronger network connectivity. This study emphasizes that digital access alone is not a universal remedy for alleviating loneliness. The psychological benefits of digital technology depend on the alignment between individual motivations, usage patterns, and broader social contexts. Future research should focus on digital usage quality and contextual adaptability of interventions, promoting a shift from customization in digital mental health intervention strategies. 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 2 Show more
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 COP Show more
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 use compositional data analysis to examine the associations of daily movement behaviors with body composition, and to predict changes in body composition after reallocating time among behaviors in Show more
To use compositional data analysis to examine the associations of daily movement behaviors with body composition, and to predict changes in body composition after reallocating time among behaviors in preschool-aged children. 268 preschoolers were included in the cross-sectional study. An accelerometer was used to assess sedentary behavior (SB), light and moderate-to-vigorous physical activity (LPA and MVPA). A parental report was used to collect sleep time. Bioelectrical impedance analysis was employed to assess body composition. Compositional linear regression analysis was employed to explore how daily movement behaviors were associated with body composition. Compositional isotemporal substitution analysis was employed to estimate changes in body composition after reallocating time among behaviors. 24-h movement behaviors composition significantly predicted fat-free mass index (FFMI), soft lean mass index (SLMI), and skeletal muscle mass index (SMMI), but not fat mass index, percent body fat, and bone mineral content index. The compositional isotemporal substitution analyses consistently showed that increasing MVPA at the expenses of SB was positively associated with FFMI (+0.328 kg/m The findings highlight the importance of MVPA in improving preschoolers' body composition. Increasing MVPA at the expenses of SB may be a strategy to improve body composition in preschoolers. Show less
Pregnant women have a high incidence of perinatal mood and anxiety disorders (PMADs). To explore the influence factor on perinatal psychology, we analysed the SCFAs, lipids, cognition, emotion, and cy Show more
Pregnant women have a high incidence of perinatal mood and anxiety disorders (PMADs). To explore the influence factor on perinatal psychology, we analysed the SCFAs, lipids, cognition, emotion, and cytokines in the late pregnant women. The mood, cognition, SCFAs of the non-pregnant group were compared to those in the late pregnancy. The differences in SCFAs, lipids, cognition, and cytokines between the high-risk and low-risk groups for affective disorders among women in the late pregnancy were analysed, and the risk factors were sought. Compared with the non-pregnant group, the pregnant group scored lower on the SDMT (P < 0.001), DST (P = 0.035), VRT (P = 0.001), and VFT (P < 0.001), and took longer on the TMTA (P = 0.004). Acetate (P = 0.001) and butyrate (P = 0.002) were higher, while propionate (P < 0.001) and isobutyrate (P = 0.001) were lower in the pregnant group than in the non-pregnant group. Among the pregnant women, CRP was higher in the high-risk group for mood disorders than in the low-risk group (P = 0.048). Meanwhile, HDL was positively associated with DST (P = 0.000), VRT (P = 0.015), and VFT (P < 0.001). Longer TMTA completion times were associated with reduced propionate (P = 0.072) and LPa (P = 0.022). Longer TMTB completion time was associated with lower life satisfaction (P = 0.037), as well as decreased cholesterol (P = 0.026). Pregnant women experience changes in cognition and SCFAs. CRP is a sensitive indicator for monitoring affective disorder. Regulation of SCFAs and lipids may be beneficial for cognition and affect. Show less
Although many studies have indicated that problematic smartphone use and depressive symptoms are closely associated and frequently co-occur in adolescence, little is known about their heterogeneous co Show more
Although many studies have indicated that problematic smartphone use and depressive symptoms are closely associated and frequently co-occur in adolescence, little is known about their heterogeneous co-occurrence profiles and how these profiles evolve over time. Using person-centered approaches (LPA and RT-LTA), this study identified the co-occurrence patterns of problematic smartphone use and depressive symptoms, examined their transitions, and investigated the roles of social support and self-control on transitions. A total of 8969 Chinese adolescents (49.3% girls; T1: M 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. T Show more
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
The polyphenols in grains are highly active, but some polyphenols in highland barley are in a bound form and have extremely low bioavailability. Fermentation by lactic acid bacteria (LAB) is capable o Show more
The polyphenols in grains are highly active, but some polyphenols in highland barley are in a bound form and have extremely low bioavailability. Fermentation by lactic acid bacteria (LAB) is capable of altering the functionality of foods. This research investigated the effects of fermentation with different LAB, such as Lactobacillus acidophilus (LAC), Lactobacillus casei (LCA), Lactobacillus rhamnosus (LRH), Lactobacillus plantarum (LPL), and Lactobacillus bulgaricus (LBU), on the hypoglycemic activity and mechanism of polyphenols in highland barley. The hypoglycemic activity of the fermentation products was measured by in vitro antioxidant, enzyme activity, and glucose consumption experiments. Untargeted metabolomic analysis used UHPLC-Q Exactive HF-X/MS to reveal distinct metabolic profiles among the fermented groups. Molecular docking and western blot experiments were conducted to elucidate the mechanism underlying the hypoglycemic effect of fermentation products. Polyphenolic antioxidant activity in highland barley and its inhibitory activities against α-glucosidase and α-amylase were increased after LAC fermentation. Furthermore, the fermented extracts improved glucose consumption in HepG2 cells. The content determination and metabolomic analysis showed that fermented highland barley polyphenols were increased, and 113 differential phenolic metabolites were identified and annotated, among which 44 exhibited a significant upregulation compared with raw highland barley polyphenols. At the molecular level, the polyphenol extract upregulated PI3K and phosphorylated Akt expression in HepG2 cells. Overall, the results indicate that fermentation by LAC biotransformed highland barley polyphenols into smaller molecules with improved hypoglycemic activities, thereby enhancing their bioavailability. Show less
Although glass-based long-persistent luminescence (LPL) materials offer superior transparency and integration capability compared with conventional phosphors, their emission has been predominantly res Show more
Although glass-based long-persistent luminescence (LPL) materials offer superior transparency and integration capability compared with conventional phosphors, their emission has been predominantly restricted to the blue-green region, leaving warm-color LPL largely unexplored. In this work, Mn Show less
Understanding the effects of captivity on wild animals is essential, as it helps to improve the physical health and welfare of captive wild animals. The changes in environment, diet and other factors Show more
Understanding the effects of captivity on wild animals is essential, as it helps to improve the physical health and welfare of captive wild animals. The changes in environment, diet and other factors during the captivity may reshape their internal microbiota and affect the body’s metabolism. Using 16S rRNA gene sequencing, we analyzed gut and tracheal microbiota from wild and captive chipmunks, and examined differences in serology, histopathology, fat metabolism, and muscle quality. The dominant bacterial phyla in the gut and tracheal microbiota of chipmunks are Firmicutes, Bacteroidota, and Proteobacteria, with the gut and tracheal microbiota of captive chipmunks showing an increase in the Spirochaetota and Patescibacteria at the phylum level. No major organ (the heart, lung, colon, muscle and kidney) damage was observed in captive chipmunks. Fat metabolism analysis revealed increased expression of genes related to fat processing (PPARG, ACACA, FASN, ELOVL1, LPL, and SCD). Muscle gene expression analysis showed higher levels of MYH1, MYH2, and MYH7, in captive chipmunks. These findings suggest that core bacterial types remained largely stable, but there were shifts in bacterial types that aid digestion during the laboratory captivity. Meanwhile, the fat metabolism of the captive chipmunks also changed, which supports muscle fatty acid absorption, and shifts muscle fiber types from fast to slow, promoting muscle synthesis and energy efficiency in captive chipmunks. Our study provides new insights into the influence of laboratory captivity on wild animals, establishes a foundation for facilitating the transformation of wild chipmunks into experimental animals. The online version contains supplementary material available at 10.1186/s12866-026-04857-4. Show less
An 8-week experiment was conducted to evaluate the effects of dietary phosphatidylserine (PS) supplementation on juvenile large yellow croaker (Larimichthys crocea) fed high soybean oil (SO) diets. A Show more
An 8-week experiment was conducted to evaluate the effects of dietary phosphatidylserine (PS) supplementation on juvenile large yellow croaker (Larimichthys crocea) fed high soybean oil (SO) diets. A fish oil control, an SO control, and four SO-based diets supplemented with 0.002%, 0.006%, 0.018%, or 0.054% PS were formulated. Results showed that weight gain exhibited quadratic responses to increasing PS levels. PS supplementation alleviated hepatic lipid deposition and reduced serum and hepatic lipid concentrations. At the molecular level, PS downregulated hepatic lipogenic gene expression including sterol regulatory element-binding protein 1 (srebp1), fatty acid synthase (fas), stearoyl-CoA desaturase 1 (scd1), and acetyl-CoA carboxylase 1 (acc1). Conversely, it upregulated hepatic lipid catabolism genes: peroxisome proliferator-activated receptor a (ppara), lipoprotein lipase (lpl), carnitine palmitoyltransferase 1 (cpt1), and diacylglycerol O-acyltransferase 1 (dgat1). Additionally, PS restored antioxidant enzyme activities and the expression of superoxide dismutase (sod1, sod3), glutathione peroxidase (gpx), and catalase (cat) in the liver. Furthermore, PS reduced hepatic pro-inflammatory cytokine mRNA levels: tumor necrosis factor α(tnf-α), cyclooxygenase 2 (cox-2), and interleukins (il-6, il-1β). In conclusion, dietary inclusion of 0.006%-0.018% PS effectively enhanced growth and antioxidant capacity, modulated lipid metabolism, and influenced inflammatory responses. Show less
Gestational diabetes mellitus (GDM) is a prevalent metabolic disorder during pregnancy associated with adverse maternal and fetal outcomes, highlighting the urgent need for novel, genetically supporte Show more
Gestational diabetes mellitus (GDM) is a prevalent metabolic disorder during pregnancy associated with adverse maternal and fetal outcomes, highlighting the urgent need for novel, genetically supported drug targets due to suboptimal glycemic control and safety concerns with existing therapies. This study integrated cis-expression quantitative trait loci (cis-eQTL) of druggable genes with genome-wide association data to identify putative causal genes for GDM through two-sample Mendelian randomization (MR), with significant associations further validated using multi-tissue summary data-based Mendelian randomization (SMR), colocalization analysis, cis-protein quantitative trait loci (cis-pQTL) MR, and single-cell RNA sequencing (scRNA-seq) to confirm tissue- and cell type specific expression. MR analysis identified 15 genes significantly associated with GDM risk after Bonferroni correction, with SMR and colocalization analyses confirming robust associations for five key genes: higher expression of NRBP1, LPL, and BTN3A2 was causally linked to reduced GDM risk, while elevated GSTM1 and GRINA levels were associated with increased risk. ScRNA-seq revealed distinct expression patterns in placental cell types, with NRBP1 and GRINA highly expressed in trophoblasts and certain immune cell populations. Phenome-wide association studies revealed no significant pleiotropic effects, and pharmacological drug-target databases identified several compounds with potential regulatory interactions. This multi-omics study successfully identifies several genetically supported, druggable targets for GDM, providing a robust foundation for developing mechanism-based therapeutics and precision prevention strategies in pregnancy metabolism. Show less
Tail fat deposition constitutes a distinctive adaptive phenotype in sheep. The Large-tailed Han (LTH) and Small-tailed Han (STH) breeds display pronounced divergence in tail fat storage, offering an i Show more
Tail fat deposition constitutes a distinctive adaptive phenotype in sheep. The Large-tailed Han (LTH) and Small-tailed Han (STH) breeds display pronounced divergence in tail fat storage, offering an ideal model for elucidating lipid metabolism regulation. Integrated sRNA-Seq and RNA-Seq analysis identified 521 differentially expressed genes and 144 miRNAs, which were significantly enriched in lipid metabolism pathways, including fatty acid metabolism and PPAR signaling. Key candidate genes ( Show less
Norethindrone (NET) and levonorgestrel (LNG) are synthetic progestins frequently detected in aquatic environments, have unclear effects on lipid metabolic homeostasis during the early life stages of a Show more
Norethindrone (NET) and levonorgestrel (LNG) are synthetic progestins frequently detected in aquatic environments, have unclear effects on lipid metabolic homeostasis during the early life stages of aquatic organisms. Although progestins commonly occur as mixtures, their combined impacts remain unclear. In this study, we investigated the individual and combined impacts of NET and LNG at environmentally relevant concentrations (2-200 ng/L) on lipid metabolism in zebrafish larvae. NET and LNG significantly disrupted early development in zebrafish. It also altered lipid profiles, as indicated by elevated triglyceride (TG) levels, reduced total cholesterol (TC), as well as alterations in key metabolic enzymes (FASN, LPL) and lipid-regulatory genes (pparγ, fasn, lpl, pparα). Co-exposure with LNG resulted in non-additive responses across multiple endpoints. Antagonistic interactions were predominant at medium and high concentrations, while occasional synergism was observed at low doses. These complex patterns were further supported by Bliss independence model analysis. Notably, combined exposure suppressed both lipid synthesis and degradation pathways more strongly than individual treatments, leading to lipid accumulation and altered energy regulation. This study advanced understanding of the ecological risks caused by progestins in aquatic environments and highlighted the necessity of mixture-based risk assessment of endocrine-disrupting compounds. Show less
Organic and organic-inorganic hybrid materials exhibiting room-temperature phosphorescence (RTP) and long persistent luminescence (LPL) materials have attracted growing attention for various time-reso Show more
Organic and organic-inorganic hybrid materials exhibiting room-temperature phosphorescence (RTP) and long persistent luminescence (LPL) materials have attracted growing attention for various time-resolved optoelectronic applications. To date, realizing intrinsically distinct RTP and LPL emissions within a single material system remains elusive, yet it is crucial for unlocking multifunctional applications such as multilevel optical encryption. Here, a Mn Show less
Xinjiang Province possesses several local sheep breeds which are well known for their tender meat, delicious taste, and lack of odor. At present, the microbial composition in the gastrointestinal trac Show more