Atherosclerosis (AS) is closely associated with gut microbiota that plays an important role in regulating intestinal mucosal barrier function, chronic inflammation, and immune homeostasis. Thus, targe Show more
Atherosclerosis (AS) is closely associated with gut microbiota that plays an important role in regulating intestinal mucosal barrier function, chronic inflammation, and immune homeostasis. Thus, targeting the modulation of gut microbitoa repesents a promising strategy for the control of AS. Clostridium butyricum (C. butyricum) serving as a kind of probiotics has shown a variety of biological benefits, but it's impact on atherosclerosis remains poorly understood. Sixty male ApoE C. butyricum ameliorated dyslipidemia and attenuated atherosclerotic plaque formation in ApoE C. butyricum intervention may exert anti-AS effects by reshaping gut homeostasis via the regulation of immune cells, providing a potential strategy for clinical treatment. Show less
Atherosclerosis (AS) is a prevalent typical chronic inflammation disease characterised by lipid deposition, immune cell infiltration and inflammatory response in the arterial intima. The long-term tre Show more
Atherosclerosis (AS) is a prevalent typical chronic inflammation disease characterised by lipid deposition, immune cell infiltration and inflammatory response in the arterial intima. The long-term treatments of the existing drugs suffered safety concerns. Show less
Older adults' social participation is associated with frailty, but the transition patterns and their relationship with frailty remain unclear. This longitudinal study aims to explore the latent classe Show more
Older adults' social participation is associated with frailty, but the transition patterns and their relationship with frailty remain unclear. This longitudinal study aims to explore the latent classes and transition patterns of social participation in older adults with chronic non-communicable diseases and to assess their relationship with subsequent frailty. The data set from the China Health and Retirement Longitudinal Study (CHARLS) in 2018 (T1) and 2020 (T2) was analyzed, including 4793 older adults. Latent profile analyses (LPA) and latent transition analyses (LTA) were employed to identify latent classes and the transition probabilities of social participation at T1 and T2. The ANCOVA was employed to examine the frailty index at T2 was compared across transition patterns. The LPA results supported a 4-class model labeled as inactive group, voluntary group, social interaction group, and omni-engaged group. The probability of transition from the other groups to the inactive group was significant (33.3 %, 53.8 %, 54.4 %). Age, residence, marital status, and other demographic characteristics can significantly impact transition patterns. However, after controlling for baseline frailty and other covariates, transition patterns were not significantly associated with T2 frailty levels. The short-term (two-year) effect of qualitative shifts in social participation on frailty may be limited when pre-existing health status is accounted for. Future interventions should prioritize sustained engagement and investigate the longer-term effects of both qualitative and quantitative changes in social participation. Show less
Brain-derived neurotrophic factor (BDNF) plays an important role in the survival of dopaminergic neurons. Clinical studies have suggested that serum BDNF levels are reduced in patients with Parkinson' Show more
Brain-derived neurotrophic factor (BDNF) plays an important role in the survival of dopaminergic neurons. Clinical studies have suggested that serum BDNF levels are reduced in patients with Parkinson's disease (PD). However, no study has investigated peripheral BDNF levels and BDNF Val66Met polymorphism in the prodromal stage of PD and their relationship with disease conversion. In total, 120 patients with video-polysomnography confirmed isolated REM sleep behavior disorder (iRBD) and 120 healthy controls (HCs) were enrolled. Genetic analyses were performed, and plasma levels of BDNF were measured. All patients with iRBD underwent comprehensive clinical testing, and 107 iRBD patients were prospectively followed up. Plasma BDNF levels were significantly lower in the iRBD group than in HCs (18,878.85 pg/mL vs. 24,649.85 pg/mL, p = 0.002), but no differences were observed in BDNF Val66Met carrier rates between the two groups. Plasma BDNF levels did not differ significantly between BDNF Val66Met carriers and noncarriers. Notably, higher plasma BDNF levels were associated with an increased risk of short-term disease conversion (hazard ratio = 3.418, 95% CI: 1.520-7.684, p = 0.003), whereas BDNF Val66Met carrier rates showed no such association. Our findings suggest that plasma BDNF is significantly associated with iRBD and may likely serve as a prognostic biomarker for the development of neurodegenerative disease. However, the BDNF Val66Met polymorphism may not be involved in the pathogenesis of iRBD as well as phenoconversion in the studied population. Show less
Lanthanum (La), the second most produced rare earth element, is detected in various environmental and human samples. Epidemiological studies have reported a strong association between La exposure and Show more
Lanthanum (La), the second most produced rare earth element, is detected in various environmental and human samples. Epidemiological studies have reported a strong association between La exposure and liver injury. However, the effects of early La exposure on liver development and underlying mechanisms remain limited. Here, we evaluate the hepatotoxicity of LaCl Show less
This study employed a latent profile analysis (LPA) to identify distinct subgroups of learned helplessness among Chinese breast cancer chemotherapy patients and examined influencing factors. Through c Show more
This study employed a latent profile analysis (LPA) to identify distinct subgroups of learned helplessness among Chinese breast cancer chemotherapy patients and examined influencing factors. Through convenience sampling, 260 breast cancer chemotherapy patients aged 18-74 years from a tertiary hospital in Henan Province were recruited between May 2024 and January 2025. Data were collected using a general demographic questionnaire, the Learned Helplessness Scale, the Brief Illness Perception Questionnaire, the Social Support Rating Scale, and the General Self-Efficacy Scale. An LPA was applied to classify learned helplessness patterns, followed by a multivariate logistic regression to determine the influencing factors. The latent profile analysis revealed three distinct profiles of learned helplessness among breast cancer patients undergoing chemotherapy: a "low helplessness-low hopelessness stable profile" (17.0%), a "moderate helplessness-moderate hopelessness fluctuating profile" (52.0%), and a "high helplessness-high hopelessness profile" (31.0%). The multivariable logistic regression revealed that age range 18-44 years, low monthly household income per capita, fatigue, and illness perception were significantly associated with the "high helplessness-high hopelessness profile" (P < 0.05). Conversely, the age range 45-59 years was significantly associated with the "moderate helplessness-moderate hopelessness fluctuating profile" (P < 0.001). Furthermore, experiencing ≤2 chemotherapy-related side effects, a higher level of perceived social support, and greater self-efficacy were significant predictors of membership in the "low helplessness-low hopelessness profile" (P < 0.05). Breast cancer chemotherapy patients were categorized into three distinct subgroups, which were influenced by age, income, fatigue, treatment side effects, illness perception, self-efficacy, and social support. Show less
Studies of surrogate decision-makers (SDMs) in the intensive care unit (ICU) often report high average levels of family decision-making self-efficacy (FDMSE). However, these findings contrast with the Show more
Studies of surrogate decision-makers (SDMs) in the intensive care unit (ICU) often report high average levels of family decision-making self-efficacy (FDMSE). However, these findings contrast with the significant decision conflict commonly observed in clinical practice. This discrepancy suggests that high aggregate FDMSE scores may mask underlying subgroups with distinct experiences. Identifying these latent profiles is essential for understanding the true experiences of ICU SDMs. This study aimed to identify distinct latent profiles of FDMSE among ICU SDMs and explore key influencing factors. A cross-sectional study was conducted among SDMs of ICU patients. Exploratory and confirmatory factor analysis (EFA/CFA) was performed to examine the factor structure of the Chinese FDMSE scale. The verified factor structure was then used for latent profile analysis (LPA). Lastly, univariate and multivariate analyses were performed to identify the main influencing factors. A total of 350 ICU SDMs were included in the analysis. The three-factor model, including treatment decision-making, comfort promotion decision-making, and facing death decision-making, provided a good fit for the Chinese FDMSE scale. Two profiles emerged: 'weak family decision-making self-efficacy', accounting for 55.9% of cases, and 'strong family decision-making self-efficacy', represented by the remaining 44.1%. The 'strong family decision-making self-efficacy' group was more likely to be observed in families where the patients held religious beliefs and were diagnosed with cancer, and where the family decision-makers held religious beliefs, had higher incomes, and had engaged in prior discussions about treatment preferences. This study verified the multi-dimensionality and heterogeneity of the FDMSE of ICU SDMs through EFA, CFA and LPA. The identification of a subgroup with low FDMSE differs from previous studies. Key modifiable factors include socio-economic resources, prior communication of the patients' preferences, and spiritual and cultural background, which serve as crucial levers for strengthening the decision-support framework in critical care settings. By identifying two distinct FDMSE profiles and key influencing factors, it offers critical care nurses a new perspective to design targeted interventions, thereby enhancing their ability to provide personalised decision support. Critical care nurses should receive structured end-of-life communication training to address the shared vulnerability of ICU SDMs in facing death decision-making self-efficacy across both profiles. Show less
Indigenous chickens in tropical regions routinely survive high environmental temperatures (40-45 °C) that cause significant mortality and production loss in commercial breeds, yet the genetic mechanis Show more
Indigenous chickens in tropical regions routinely survive high environmental temperatures (40-45 °C) that cause significant mortality and production loss in commercial breeds, yet the genetic mechanisms of thermotolerance remain poorly understood. This study integrated genome-wide selective scans across 14 geographically and climatically diverse chicken breeds with multi-tissue expression data, gene expression quantitative trait locus (eQTL) analysis, transcriptome-wide association study (TWAS), and cross-species phenome-wide association study (PheWAS) to validate candidate genes. We identified 25 high-confidence genes under selection, with ATP1A1, PLCB4, RYR2 and AKT3 forming a regulatory hub coordinating cardiovascular, calcium and survival signaling. These genes converge on interconnected adrenergic, calcium, and GnRH signaling pathways, with coordinated expression across heart, hypothalamus, and liver forming an integrated thermoregulatory axis. The eQTL integration analysis using ChickenGTEx data identified 359 tissue-specific cis-eQTLs in selected regions. Additionally, TWAS analysis linked ATP1A1 to 145 gene-trait associations across 13 tissues and 14 trait categories (hepatic regulation, β = -2.13, p = 4.21 × 10⁻¹²), and cross-species PheWAS validated conserved roles in cardiovascular function (RYR2, resting heart rate p = 4.9 × 10⁻¹²), and ionic homeostasis (ATP1A1, chloride p = 1.18 × 10⁻³). In parallel, we also identified robust genomic signatures of domestication in classic candidate genes (TSHR, TBC1D1, BDNF), highlighting how initial separation from Red Jungle Fowl and subsequent adaptation to diverse climates have shaped the genetic and physiological diversity of the domesticated chicken. Collectively, our results reveal an integrated cardio-neuroendocrine calcium network driving heat adaptation, providing potential targets for breeding heat-tolerant chickens. Show less
Cerebral palsy (CP), the most prevalent pediatric motor disorder with significant cognitive comorbidity (> 50%), lacks therapies addressing both impairments in moderate-to-severe cases. This study dem Show more
Cerebral palsy (CP), the most prevalent pediatric motor disorder with significant cognitive comorbidity (> 50%), lacks therapies addressing both impairments in moderate-to-severe cases. This study demonstrates that human umbilical cord mesenchymal stem cell-derived exosomes (hUCMSC-Exos) exert profound therapeutic effects in a rat model of moderate-to-severe CP established via bilateral carotid artery occlusion with hypoxia. Intravenously administered hUCMSC-Exos displayed sustained brain retention and significantly restored motor coordination and cognitive function. The recovery was primarily mediated through enhanced remyelination driven by promoted oligodendrocyte maturation and differentiation (elevated oligodendrocyte lineage transcription factor 2 and myelin basic protein). Concurrently, the treatment attenuated key pathological processes involving sustained neuroinflammatory responses (reduced ionized calcium-binding adapter molecule 1, tumor necrosis factor-α, and interleukin-6) while elevating brain-derived neurotrophic factor. Our findings establish hUCMSC-Exos as a promising dual-modality therapy for moderate-to-severe CP, mechanistically linked to robust remyelination and coordinated modulation of core disease mechanisms. Show less
Lecanemab, an anti-amyloid beta (Aβ) protofibril antibody, was introduced in China in 2024, but its real-world performance remains unknown. In this prospective, multicenter study across 21 sites, 261 Show more
Lecanemab, an anti-amyloid beta (Aβ) protofibril antibody, was introduced in China in 2024, but its real-world performance remains unknown. In this prospective, multicenter study across 21 sites, 261 Alzheimer's disease patients (mild cognitive impairment to moderate dementia) received biweekly lecanemab (10 mg/kg). A matched Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort served as comparator. Cognitive tests, plasma biomarkers, and optional amyloid/tau positron emission tomography (PET) were assessed over 6 months. Lecanemab significantly attenuated cognitive decline versus ADNI. Plasma Aβ42, Aβ40, phosphorylated tau 217 (p‑tau217), glial fibrillary acidic protein (GFAP), and ratios showed robust changes; a p‑tau217 reduction correlated with amyloid PET clearance (mean -22.1 Centiloid; 29.2% turned amyloid-negative). Apolipoprotein E (APOE) ε4 non-carriers showed greater improvements. Infusion reactions occurred in 11.1% and amyloid-related imaging abnormalities in 9.2% (1.6% symptomatic), with no stage-related safety differences. Lecanemab was effective and well tolerated in real-world Chinese patients. Plasma p‑tau217 may serve as a sensitive, minimally invasive treatment-response biomarker. Show less
Staphylococcus aureus is a significant pathogen that poses a threat to both human and animal health. Its pathogenicity in humans has been extensively studied, however, the signaling pathways and key g Show more
Staphylococcus aureus is a significant pathogen that poses a threat to both human and animal health. Its pathogenicity in humans has been extensively studied, however, the signaling pathways and key genes in Koi Carp responding to S. aureus from human rhinitis remain unclear. In this study, we established an intraperitoneal infection model in koi carp (Cyprinus carpio) using an S. aureus isolate from patients with rhinitis and integrated RNA-seq, qPCR, and ELISA to dissect the host response. Our findings reveal a dual-module immune evasion strategy employed by S. aureus in koi carp. Module I: The pathogen down-regulated the entire complement coagulation cascade (C3, C9, CFH, F7/9/10) and apolipoprotein-mediated opsonins (APOA1, APOB, APOC1/2), thereby crippling innate clearance. Module II: The host mounted a restricted but potent counter-response, characterized by type I IFN signalling (gvin1, MHC-I), NK/T-cell co-stimulation (CD244, SLAMF5), and the selective induction of IL-8 and IL-1β, while IL-6, IL-10, and TNF-α remained unchanged. Functionally, serum superoxide dismutase (SOD), catalase (CAT), and lysozyme (LZM) activities surged, confirming an oxidative burst, whereas splenic CD22R protein decreased, indicating B-cell disinhibition. These results establish a molecular basis for understanding the interaction between human-derived S. aureus and the immune system of aquatic organisms. Show less
Alzheimer' s disease (AD) is a progressive neurodegenerative disorder characterized by a spectrum of cognitive impairments, ranging from mild memory loss to severe cognitive decline and, ultimately, d Show more
Alzheimer' s disease (AD) is a progressive neurodegenerative disorder characterized by a spectrum of cognitive impairments, ranging from mild memory loss to severe cognitive decline and, ultimately, death. The global incidence of AD is projected to increase significantly, with late-onset AD being predominantly sporadic in nature. Over the past three decades, the Apolipoprotein E (APOE) gene has been recognized as the most important single genetic determinant of sporadic AD risk. The APOE4 allele is a major risk factor for AD and is known to exacerbate the pathological process for AD. Identifying protective variants that may reduce the risk or delay the onset of AD is of great significance for the development of effective treatments. This review comprehensively examines the protective effects of APOE and its related protective mutations. It also explores the impact of these unique protective variants at the cellular level during the pathological progression of AD. Furthermore, the review compiles new insights for AD treatment offered by these protective mutations, exploring the potential applications of APOE and its related protective variants in advanced therapeutic strategies, including gene editing, RNA editing, and stem cell therapy. Show less
Evidence proved that electroacupuncture (EA) combined with antidepressants can improve the antidepressant effectiveness for depressed patients. However, the clinical mechanisms of EA remain unclear. T Show more
Evidence proved that electroacupuncture (EA) combined with antidepressants can improve the antidepressant effectiveness for depressed patients. However, the clinical mechanisms of EA remain unclear. This study aimed to observe the mechanism of EA as an adjunct therapy to escitalopram oxalate (EO) on depressed patients. This study was designed as a single-blinded, double-dummy randomized controlled trial. 61 participants were diagnosed with mild-to-moderate depression according to the International Classification of Diseases 10th Edition (ICD-10, F32) were randomly allocated to receive EA + EO placebo, EO + sham EA, or EA + EO for six weeks treatment. The clinical assessment including depression severity, quality of life (QOL) and clinical safety. Biological indicators of immune-inflammation, the brain-derived neurotrophic factor and glucocorticoid inducible genes in peripheral blood of participants were measured by using enzyme linked immunosorbent assay and real-time polymerase chain reaction respectively before and after treatment. Three interventions improved the depression severity and QOL (P < 0.05), and no inter-group difference was found in the 6th week (P > 0.05). Anxiety psychic and somatic general symptoms in the EA + EO group were improved significantly than those of the other two groups (P < 0.05). After six-week treatment of EA + EO, blood SGK1 mRNA, GILZ mRNA, and BDNF levels were increased significantly ( Show less
Current in vitro enzyme inhibition assays often involve subjective data analysis based on the researcher's experience. In this study, we developed a multi-dimensional quantitative integration platform Show more
Current in vitro enzyme inhibition assays often involve subjective data analysis based on the researcher's experience. In this study, we developed a multi-dimensional quantitative integration platform (MDQIP) that uses a model to objectively calculate and rank compound activities, addressing the limitations of traditional "experience-driven" evaluations, accelerates the screening and evaluation of potential AChE inhibitors from Red Gastrodia elata, offering a more efficient approach to drug discovery. Ultrafiltration-LC screening identified parishin A as having the most stable binding, with binding degree and recovery rates of 98.85% and 99.39%, respectively. Molecular docking revealed that parishins A and C were the strongest AChE inhibitors, exhibiting stable binding through hydrogen bonds, π-alkyl, and π-π interactions. Molecular dynamics simulations confirmed the stability of these compounds, with binding energies of -82.65 ± 4.24 and - 80.69 ± 4.19 kcal/mol. Enzyme kinetics showed that parishins A and C are mixed-type inhibitors, with IC Show less
Validate the clinical utility of exosome cargo (miRNAs/proteins) and NLRP3/BDNF as key regulatory molecules for acupuncture-mediated spinal cord injury (SCI) recovery. From the establishment of the da Show more
Validate the clinical utility of exosome cargo (miRNAs/proteins) and NLRP3/BDNF as key regulatory molecules for acupuncture-mediated spinal cord injury (SCI) recovery. From the establishment of the database to May 2025, a literature search was conducted on PubMed, and Embase, using keywords ["exosome cargo" or "exosome"], ["acupuncture" or "acupuncture and moxibustion" or "electroacupuncture" or "EA"], ["spinal cord injury" or "SCI"], ["immune regulation"], ["inflammatory reaction"], ["neuroregeneration" or "nerve"]. Including peer-reviewed studies on human/animal models, articles that do not meet the requirements are excluded. Preclinically, MSC-exosomal miR-145-5p suppressed TLR4/NF-κB signaling, reducing spinal IL-1β by 47% in SD rats. Schwann cell-exosomal MFG-E8 activated SOCS3/STAT3, increasing M2 macrophage CD206 by 63% and raising rat BBB scores by 3.8 points; Treg-exosomal miR-2861 upregulated tight junction proteins (occludin/ZO-1) to repair the blood-spinal cord barrier. Acupuncture (EA at GV14/GV4) upregulated spinal BDNF by 72% and NGF by 58% via Wnt/β-catenin, while EA at GV6/GV9 downregulated NLRP3 by 42-58% and TNF-α by 35-47%. Clinically, EA at EX-B2 increased ASIA scores by 3.2±1.1 points (Guo et al). Besides, 5x/week EA improved ASIA vs 3x/week (+6.4 points). EA+exercise reduced MAS by 1.6-2.9 points, with outcomes correlated to peripheral NLRP3 reduction, BDNF elevation, and MBI/WISCIII increases. Exosome cargo (miR-145-5p/MFG-E8) and NLRP3/BDNF are key regulatory molecules underlying acupuncture-mediated SCI recovery. However, limitations (small RCT samples, heterogeneous acupuncture protocols, unstandardized exosome isolation) hinder translation. Future work should focus on standardized biomarker detection, exosome engineering, and large-scale clinical trials. Show less
This study investigated the neuroprotective effects and mechanisms of cycloastragenol (CAG) on oxidative stress and neurological function in cerebral ischemia-reperfusion injury (CIRI) and oxygen-gluc Show more
This study investigated the neuroprotective effects and mechanisms of cycloastragenol (CAG) on oxidative stress and neurological function in cerebral ischemia-reperfusion injury (CIRI) and oxygen-glucose deprivation/reoxygenation (OGD/R) models. In vivo, rats were given oral CAG daily for 28 days before CIRI induction. Cerebral infarction and hippocampal injury were assessed using TTC, Nissl, and HE staining. Neurological scores, morris water maze, grip strength tests, and brain water content were used to evaluate functional outcomes. Oxidative stress was determined by biochemical assays, DHE staining, and transmission electron microscopy, while Western blotting was performed to measure neuroprotective proteins. In vitro, primary neurons were treated with CAG and subjected to OGD/R. Cell viability was tested by CCK-8 assay, apoptosis and mitochondrial membrane potential were analyzed by flow cytometry, ROS levels were quantified, and MDA, SOD, and GSH were measured biochemically. Western blot further evaluated BDNF and NeuN expression to confirm in vivo findings. In vivo, CAG reduced infarct volume and edema, improved neurological deficits, preserved the structural integrity of neurons in the hippocampal CA1 region. CAG also promoted motor function recovery, markedly reduced MDA levels, increased SOD and GSH activity, and upregulated BDNF and NeuN expression. In vitro, CAG enhanced cell viability in the OGD/R model, reduced apoptosis, restored mitochondrial membrane potential, and significantly suppressed oxidative stress induced by ischemia-reperfusion. CAG effectively alleviated injury caused by cerebral and cellular ischemia-reperfusion by maintaining redox homeostasis, inhibiting oxidative stress, and promoting the expression of neuroprotective proteins, demonstrating promising neuroprotective potential. Show less
To characterize ultra-processed food (UPF) circulating metabolic signatures associated with Crohn's disease (CD) and to localize key metabolic mediators linking UPF intake to CD risk. Prospective coho Show more
To characterize ultra-processed food (UPF) circulating metabolic signatures associated with Crohn's disease (CD) and to localize key metabolic mediators linking UPF intake to CD risk. Prospective cohort study. Two large multi-center cohorts (UK Biobank [UKB] and Whitehall II [WHII] study) across the UK and an Eastern multi-center cohort ONE-IBD Study from China. UK Biobank discovery cohort (n=10,229) for signature derivation, internal validation cohort (n=91,306), external validation cohort Whitehall-II (n=7,893), and three additional cohorts (two Western and ONE-IBD) for validation of key metabolic drivers. Primary outcomes were UPF-related circulating metabolic signatures and their associations with CD risk; secondary outcomes included evidence supporting causal roles of candidate metabolites and genetic pathways assessed by Mendelian randomization, colocalization, and gene-environment analysis. A UPF metabolic signature of 73 metabolites was constructed and validated across cohorts (Spearman ρ: 0.20-0.25). More pronounced UPF metabolic signature was associated with increased CD risk (HR The adverse effects of UPF on CD risk may be driven by a relative deficiency of protective metabolites such as DHA, apart from additive harm to metabolic depletion. This reframes UPF-related risk and highlighting potential targets for precision nutrition in CD prevention. Show less
Dual GIP/GLP-1 receptor agonists have gained significant attention in clinical applications because of their remarkable efficacy in reducing obesity and type 2 diabetes. However, the mechanisms by whi Show more
Dual GIP/GLP-1 receptor agonists have gained significant attention in clinical applications because of their remarkable efficacy in reducing obesity and type 2 diabetes. However, the mechanisms by which these dual agonists affect systemic metabolism remain elusive. To investigate the effects of a novel dual-receptor agonist, THDBH120, on systemic metabolism in obese individuals and the specific roles of GIPR and GLP-1R in modulating systemic and adipose tissue metabolism. To evaluate the intrinsic properties of THDBH120, we conducted a potency assay by using HEK293 cell lines overexpressing either human GIPR or GLP-1R and measured the accumulation of cAMP as a downstream second messenger following receptor activation. To evaluate the efficacy of THDBH120 on systemic metabolism, we used obese rodents and nonhuman primate species that received various doses and frequencies of THDBH120. To determine the metabolic roles of GLP-1R and GIPR in mediating the beneficial effects of THDBH120, we used GLP-1R- and GIPR-knockout mouse models treated with THDBH120, the GLP-1R agonist semaglutide, or the GIPR agonist LAGIPRA and performed transcriptomic sequencing analyses of adipose tissues. THDBH120 is a novel long-acting dual GIPR/GLP-1R agonist that has superior weight loss and metabolic improvement effects in rodents and mammals. The activation of GLP-1R by semaglutide or THDBH120 improved lipid metabolism, whereas the activation of GIPR by LAGIPRA or THDBH120 alleviated inflammation. THDBH120 improved lipid metabolism via GLP-1R-mediated pathways and mitigated inflammation by activating GIPR-associated pathways in the adipose tissues of obese mice. Both GLP-1R and GIPR are important in mediating the beneficial effects of dual receptors on systemic metabolism. THDBH120 is a novel long-acting dual GIPR/GLP-1R agonist that has potential clinical applications. Show less
Improved internet access has exposed rural adolescents in China to a greater risk of internet addiction. However, existing studies seldom examine the relationship between dynamic changes in internet a Show more
Improved internet access has exposed rural adolescents in China to a greater risk of internet addiction. However, existing studies seldom examine the relationship between dynamic changes in internet addiction and psychosocial maladjustment. This study aims to explore the transition patterns of internet addiction and its associations with emotional and interpersonal problems over time. A one-year longitudinal survey was conducted among 782 middle school students in rural China. Latent Profile Analysis (LPA) was conducted to identify internet addiction profiles at two time points. Latent Profile Transition Analysis (LPTA) was then used to examine the transition patterns between profiles over time. Subsequently, statistical analyses were conducted to explore how these transitions were associated with emotional and interpersonal problems. Three profiles of internet addiction were identified: minimal-internet addiction, low-internet addiction, and high-internet addiction. Based on LPTA, most adolescents with higher internet addiction at T1 shifted to lower-severity profiles over time (high → minimal: 35.3%; low → minimal: 39.8%; high → low: 33.3%), while some with initially lower levels transitioned to more severe profiles (minimal → high: 6.9%; low → high: 12.2%; minimal → low: 25.7%). Transition into higher addiction profiles predicted increased depression, anxiety, and poorer relationships with parents, peers, and teachers. Conversely, reductions in addiction were linked to improved depressive symptoms. Changes in internet addiction have an impact on adolescent psychosocial maladjustment. Early detection and flexible interventions are essential in rural settings. Show less
Schizophrenia (SCZ) is a complex psychiatric disorder, and its pathogenic mechanisms are not yet fully understood. The identification of reliable blood biomarkers and molecular subtypes for early diag Show more
Schizophrenia (SCZ) is a complex psychiatric disorder, and its pathogenic mechanisms are not yet fully understood. The identification of reliable blood biomarkers and molecular subtypes for early diagnosis and effective therapy remains a significant challenge. To address this issue, we utilized a combination of bioinformatics and machine learning (ML) to identify potential biomarkers for SCZ. Our approach involved the integration of 12 different ML algorithms to develop a diagnostic signature based on data from several datasets, including GSE18312, GSE27383, GSE38485, GSE54913, and GSE165604. A nomogram was constructed using these datasets for potential clinical applications. In addition, clustering analysis was performed on SCZ patients using consensus clustering and non-negative matrix factorization (NMF) algorithms. We further evaluated subtype differences in biological functions and immune cells through various methods, such as gene set enrichment analysis (GSEA), gene set variation analysis (GSVA), Proteomaps, and IOBR analyses. Our results identified a diagnostic signature composed of 16 genes (APBB2, CLCN1, SYDE1, PAX5, SNAI1, DAZL, UNC93B1, PLAGL2, HS3ST1, ITPKB, PILRA, BTLA, SWAP70, AZI2, ADM, and AVPR2), which demonstrated robust performance in diagnosing SCZ across eight different datasets. A nomogram based on these genes was created, providing clinical benefits for SCZ patients. Among the identified genes, AZI2 was found to be the most critical, influencing inflammation and immunity. We also identified potential chemical compounds that could target these 16 genes. Unsupervised clustering and NMF algorithms revealed two distinct subtypes of SCZ, each associated with unique immune cell profiles, biological functions, and protein expression levels. In conclusion, this study not only developed a diagnostic signature and a novel nomogram for SCZ but also provided new insights into the subtypes of SCZ. These findings may pave the way for personalized diagnosis and treatment strategies for SCZ patients. Show less
Cerebrospinal fluid (CSF) proteomics offers insights into molecular changes in aging and Alzheimer's disease (AD). Key AD biomarkers, in particular amyloid-β (Aβ) and tau, in CSF are strongly associat Show more
Cerebrospinal fluid (CSF) proteomics offers insights into molecular changes in aging and Alzheimer's disease (AD). Key AD biomarkers, in particular amyloid-β (Aβ) and tau, in CSF are strongly associated with Show less
Hepatitis B virus (HBV) infection can cause liver damage through oxidative stress (OS) and immune-inflammatory responses. This study aims to explore the clinical significance of fibroblast growth fact Show more
Hepatitis B virus (HBV) infection can cause liver damage through oxidative stress (OS) and immune-inflammatory responses. This study aims to explore the clinical significance of fibroblast growth factor 21 (FGF21) in the development and progression of chronic hepatitis B (CHB). A total of 336 participants were recruited, including 320 CHB patients and 16 healthy controls. The expression of FGF21, immune cytokines, and OS-related molecules in peripheral blood mononuclear cells (PBMCs) was detected using real-time quantitative polymerase chain reaction. The methylation level of the FGF21 gene promoter in PBMCs was detected using TaqMan probe-based quantitative methylation-specific PCR. The expression level of FGF21 in the peripheral blood of CHB patients was higher than that of HC, but the methylation level of the FGF21 promoter was lower than that of HC, especially in patients during the immune activation phase. The mRNA expression levels of CXCR3 and CCL5 in PBMCs of CHB patients during the immune activation and reactivation phases were higher than those in other clinical stages. Single-cell analysis revealed that CXCR3 and CCL5 expression in the immune tolerance and immune activation phases with high HBsAg expression was closely related to T lymphocytes (T cells) and natural killer cells (NK cells) and was highly expressed in CD4 and CD8 T cells and NK cells. In addition, the mRNA expression levels of Nrf2 and GPX4 in the reactivation phase were higher than those in other clinical stages. The mRNA expression level and methylation level of FGF21 in PBMCs of CHB patients were correlated with the viral load, immune inflammation, and OS levels during the antiviral treatment course of CHB. The methylation level of the FGF21 promoter has the potential to become a non-invasive biomarker for monitoring the progress of antiviral treatment in CHB.IMPORTANCEThis study conducted an in-depth exploration of the application of methylation detection technology, analyzing its value and driving mechanism in the oxidative stress and immune-inflammatory balance during the course of chronic hepatitis B. The study analyzed the methylation patterns of the FGF21 promoter and the expression levels of its receptor FGFR1, as well as the expression levels of chemokines CXCR3, CCL5, and oxidative stress factors GPX4 and Nrf2 in the immune tolerance period, immune clearance period, immune control period, and reactivation period of chronic hepatitis B. It clarified the association between these molecules and the FGF21/FGFR1 axis and revealed the synergistic or antagonistic mechanisms of these molecules in the oxidative stress and inflammatory vicious cycle. At the same time, this study also explored the value of FGF21 promoter methylation in disease diagnosis and prognosis, providing a theoretical basis for evaluating the antiviral treatment effect and disease progression of chronic hepatitis B. Show less
Focal articular cartilage defects often progress to osteoarthritis, imposing a substantial global health burden. Current neglect of cartilage developmental regulation and cartilage microenvironment co Show more
Focal articular cartilage defects often progress to osteoarthritis, imposing a substantial global health burden. Current neglect of cartilage developmental regulation and cartilage microenvironment compromises therapeutic efficacy. We developed an innovation CE-SKP/CPH/P2G3 scaffold which effectively repairs focal cartilage defects and emulates native cartilage ontogeny: the superficial CE-SKP hydrogel layer recruits SMSCs and promotes chondrogenesis; the middle CPH hydrogel layer induces chondrocyte hypertrophic calcification, forming cartilage calcified layer; and the basal P2G3 nanofiber membrane isolates subchondral cells, enforcing a top-down developmental sequence and preserving a localized hypoxic niche. Show less
Haojie Ni, Yiyi Xiong, Min Liu+14 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
The pathological mechanism of Alzheimer's disease (AD) is complex. The binding of Aβ to α7 nicotinic acetylcholine receptor (α7nAChR) contributes to neuronal damage. Sinomenine (SIN) is an alkaloid ex Show more
The pathological mechanism of Alzheimer's disease (AD) is complex. The binding of Aβ to α7 nicotinic acetylcholine receptor (α7nAChR) contributes to neuronal damage. Sinomenine (SIN) is an alkaloid extracted from the traditional Chinese medicine Qingfengteng (Sinomenium acutum). The anti-inflammatory, antioxidant, and immunomodulatory effects of SIN were confirmed to be closely associated with the α7nAChR. This study aimed to investigate whether α7nAChR serves as a pharmacological target of SIN against AD, and to evaluate the neuroprotective effects of SIN both in vivo and in vitro, focusing on the α7nAChR/Nrf2/Keap1 signaling pathway. In this study, the effects of SIN in both APP/PS1 transgenic mice and SH-SY5Y cells subjected to Aβ1-42-induced injury were assessed. The selective antagonist α-bungarotoxin (α-BTX), the agonist nicotine (Nic) of α7nAChR, and α7nAChR siRNA were employed. The cognitive function, Aβ deposition, synaptic plasticity markers, the tau protein phosphorylation, mitochondrial membrane potential, oxidative stress and the α7nAChR/Nrf2/Keap1 signaling pathway were analyzed in vivo and/or in vitro. SIN significantly enhanced learning and memory abilities in APP/PS1 mice, reduced Aβ plaque deposition and synaptic dysfunction, and inhibited hyperphosphorylation of tau protein and oxidative stress in the brain. In Aβ1-42-induced neuronal injury model, SIN alleviated apoptosis, increased BDNF and ACh levels, inhibited mitochondrial damage, stabilized calcium homeostasis, and suppressed oxidative stress. Meanwhile, SIN disrupted Nrf2-Keap1 binding to promote the Nrf2/HO-1 signaling pathway. Nevertheless, SIN effects above were inhibited by α-BTX. The knockdown of α7nAChR in vitro significantly promoted Nrf2/HO-1 pathway and BDNF expression. SIN exerts neuroprotective effect in APP/PS1 transgenic mice and Aβ1-42-induced neuronal injury by inhibiting oxidative stress via α7nAChR/Nrf2/Keap1 pathway. This study provides evidence for α7nAChR as a new target and the clinical application potential of SIN in AD treatment. Show less
This study was conducted to investigate the clinical and genetic characteristics of a family affected by hereditary spherocytosis (HS) combined with familial chylomicronemia syndrome (FCS), identify t Show more
This study was conducted to investigate the clinical and genetic characteristics of a family affected by hereditary spherocytosis (HS) combined with familial chylomicronemia syndrome (FCS), identify the pathogenic cause, and provide a basis for the clinical diagnosis, treatment, and genetic counseling of affected children. Clinical data were collected from family members. High-throughput sequencing was performed to identify pathogenic variants in genes associated with HS and FCS in the proband. Suspected pathogenic mutations were confirmed in family members via PCR-Sanger sequencing. Bioinformatics analysis and three-dimensional protein structure prediction were also conducted. The proband presented with severe anemia, splenomegaly, and jaundice. Genetic testing revealed a heterozygous mutation, c.6005G>A (p.Trp2002*), in the spectrin beta chain ( The heterozygous mutations Show less
Nurses in traditional Chinese medicine (TCM) departments face significant sleep challenges associated with occupational stressors. However, person-centered analyses classifying these sleep patterns re Show more
Nurses in traditional Chinese medicine (TCM) departments face significant sleep challenges associated with occupational stressors. However, person-centered analyses classifying these sleep patterns remain scarce. This study aimed to identify heterogeneous sleep disturbance subgroups via latent profile analysis (LPA) and evaluate the performance of explainable machine learning models in discriminating these subgroups based on demographic and occupational features. A cross-sectional survey enrolled 7721 nurses from 130 TCM healthcare institutions in Liaoning Province (December 2024). Data encompassed demographic, occupational, and psychological variables obtained via self-administered questionnaires, including the Patient-Reported Outcomes Measurement Information System (PROMIS) Sleep Disturbance short form 8a. LPA was employed to categorize sleep disturbance patterns. Recursive feature elimination with random forest (RFE-RF) was used to select features associated with subgroup membership for five machine learning models. Models were trained on 70% of the data and evaluated on a 30% independent test set. The optimal classification model (XGBoost) underwent interpretability analysis using Shapley additive explanations (SHAP). LPA identified three subgroups: mild-stable (29.8%), moderate-fluctuating (60%), and severe-persistent (10.2%). Machine learning models achieved test AUCs of 0.71-0.84, with XGBoost demonstrating the highest discriminatory performance (AUC = 0.84, 95%CI: 0.83-0.85) in classifying subgroups. SHAP analysis indicated that monthly income, organizational support, hospital level, self-compassion, and resilience were the top five features contributing to the model's classification output. This study characterized three distinct sleep disturbance subgroups among TCM nurses, with the majority exhibiting moderate symptoms. The sequential application of LPA and explainable machine learning demonstrated robust performance in distinguishing sleep disturbance patterns. Identifying correlates-such as lower income and resilience-may assist nurse managers in stratifying risk and tailoring interventions for those most likely to fall into the severe subgroup. Future longitudinal studies are required to validate the stability of these subgroups and establish causal relationships. Show less