Background Work-related musculoskeletal disorders (WMSDs) are a major occupational health concern, particularly among workers exposed to adverse ergonomic conditions. Manganese production involves heavy physical demands, yet research on WMSDs among manganese workers remains limited. Objective To investigate the prevalence and influencing factors of WMSDs among manganese workers in a manganese enterprise in Guangxi. Methods A cross-sectional survey was conducted from May to June 2024 on workers at a manganese factory in Guangxi. The Chinese Musculoskeletal Disorders Questionnaire was used to collect information on demographic characteristics, distribution of musculoskeletal symptoms, and work-related exposures. χ² test was applied to compare differences in positive WMSDs rates across groups, and logistic regression analysis was performed to identify associated factors. Results A total of 1476 workers were enrolled in the study after pre-determined inclusion and exclusion criteria. The overall prevalence of WMSDs was 34.15%. The most commonly affected body regions were the lower back (17.28%), neck (16.67%), and shoulders (13.82%). The results of logistic regression analysis indicated that female, older age, and education level of college or above were associated with a higher risk of WMSDs (P<0.05). Awkward working postures were significantly associated with WMSDs in corresponding body regions; in particular, awkward postures of the neck, upper limbs, trunk, and lower limbs were related to an increased risk of WMSDs in multiple body sites (P<0.05). In addition, poor lighting conditions, high workplace temperature, frequent or sustained arm support during work, and high job demands were associated with an increased risk of overall or site-specific WMSDs (P<0.05). Conclusion The high prevalence of WMSDs among manganese workers is closely associated with demographic characteristics, working postures, and work environment and organizational factors. Targeted ergonomic interventions focusing on high-risk body regions and key ergonomic exposures are warranted to reduce the risk of WMSDs among manganese workers.

Background: Adrenocortical hormones, particularly 11-oxygenated androgens, are pivotal in female reproductive health and fertility. Standardized detection kits and population-specific reference intervals are lacking in China, hindering related clinical applications. Methods: A HPLC-tandem mass spectrometry (HPLC-MS/MS) pipeline was developed, rigorously validated, and applied to simultaneously quantify corticosterone, cortisone, cortisol, 18-OH cortisol, androstenedione (A4), 11β-hydroxyandrostenedione (11-OH A4), dehydroepiandrosterone, and dehydroepiandrosterone sulfate in serum samples from 455 reproductive-aged women (18–45 yrs) in Guangxi, China. Age-dependent concentration trends were analyzed, and reference intervals stratified by age (2.5th to 97.5th percentiles) were established. Correlations with body-composition metrics, ethnicity, and the menstrual cycle were investigated. Results: The HPLC-MS/MS method demonstrated high precision (intra- and inter-assay CVs < 15%), accuracy, and sensitivity. All eight hormones exhibited significant age-related declines (P < 0.001 for seven hormones; P = 0.001 for 11-OH A4). Notably, 11-OH A4 levels were significantly lower in the 35–45-yr (3.05 nmol/L) and 25–34-yr (3.09 nmol/L) age groups than in the 18–24-yr (3.57 nmol/L) age group, whereas no significant difference was observed between the 35–45-yr and 25–34-yr age groups. Weak negative correlations were observed between the body mass index and corticosterone and cortisone levels, whereas ethnicity and the menstrual cycle showed no significant associations with hormone levels. Conclusions We developed an HPLC-MS/MS-based method for simultaneously quantifying eight adrenocortical hormones, including 11-OH A4, and defined age-specific reference intervals for reproductive-aged Chinese women. These findings advance the clinical utility of adrenocortical hormones in diagnosing and managing reproductive disorders.

ObjectiveTo propose an X-Gait motor rehabilitation assessment system based on a perception-cognition decoupling architecture to jointly achieve high-accuracy gait recognition and clinical interpretability for low clinical credibility and opaque decision-making workflows in existing intelligent gait assessment models. MethodsIn the perception layer, YOLOv11-Pose and PoseFormerV2 were integrated for 2D-to-3D human pose reconstruction. A long short-term memory network was adopted for temporal classification of normal, abnormal and pathological gaits. The layer-wise relevance propagation algorithm was used to identify discriminative joints and automatically quantify biomechanical indices including trunk forward inclination angle, stance phase percentage and stride symmetry. In the cognition layer, rehabilitation-oriented prompt engineering and prior knowledge graphs were combined to drive large language models, converting quantitative biomechanical measurements into clinically reasonable structured reports. Eight subjects were enrolled for bedside clinical validation to evaluate classification performance and clinical consistency. ResultsThe overall gait classification accuracy of X-Gait reached 94.1%. The 2D pose detection achieved 100% valid detection rate with an average confidence of 0.819. The mean per-joint position error of 3D pose reconstruction was 105.97 mm. In clinical validation of eight cases, outputs generated by explainable artificial intelligence combined with large language models showed high consistency with manual assessments from experienced rehabilitation physicians. ConclusionThe proposed X-Gait system based on perception-cognition decoupling realizes high-precision gait identification and clinically interpretable outputs.

Objective To investigate the prognosis of patients with negative sentinel lymph nodes(SLN)after neoadjuvant chemotherapy(NAC)for breast cancer who are exempt from axillary lymph node dissection(ALND)and evaluate its safety in clinical treatment.Methods Clinical data of 2,163 patients initially diagnosed with breast cancer and having negative SLNs after NAC were se-lected from the SEER database from 2018 to 2021.Among them,373 patients underwent only SLN biopsy(SLNB group),and 1,790 patients underwent ALND(ALND group).Propensity score matching(PSM)was used to control for confounding factors,and the Kaplan-Meier method was em-ployed to analyze the overall survival rate.Univariate and multivariate Cox regression analyses were conducted to identify prognostic factors influencing the exemption from ALND in patients with negative SLNs after NAC for breast cancer.Results Before PSM,significant differences were observed be-tween the two groups in terms of clinical tumor stage,molecular subtype,estrogen receptor(ER)sta-tus,progesterone receptor(PR)status,human epidermal growth factor receptor 2(HER-2)status,efficacy of NAC,and breast surgery method(P＜0.05).After PSM,363 patients were included in each group.Univariate Cox regression analysis after PSM revealed that age,clinical tumor stage,and ER status were associated with overall survival(OS)of patients(P＜0.05).There was no sig-nificant difference in OS between patients who underwent SLNB and those who underwent ALND(P＞0.05).Multivariate Cox regression analysis indicated that age and clinical tumor stage were independent factors influencing OS in patients with negative SLNs after NAC.Survival curve analysis after PSM showed no statistically significant difference in overall survival rate between the SLNB and ALND groups(P=0.278).Conclusion Exemption from ALND in patients with negative SLNs af-ter NAC is feasible and does not affect the overall survival rate of patients.

ObjectiveThe nucleolar protein PES1 (Pescadillo homolog 1) plays critical roles in ribosome biogenesis and cell cycle regulation, yet its involvement in cellular senescence remains poorly understood. This study aimed to comprehensively investigate the functional consequences of PES1 suppression in cellular senescence and elucidate the molecular mechanisms underlying its regulatory role. MethodsInitially, we assessed PES1 expression patterns in two distinct senescence models: replicative senescent mouse embryonic fibroblasts (MEFs) and doxorubicin-induced senescent human hepatocellular carcinoma HepG2 cells. Subsequently, PES1 expression was specifically downregulated using siRNA-mediated knockdown in these cell lines as well as additional relevant cell types. Cellular proliferation and senescence were assessed by EdU incorporation and SA-β-gal staining assays, respectively. The expression of senescence-associated proteins (p53, p21, and Rb) and SASP factors (IL-6, IL-1β, and IL-8) were analyzed by Western blot or qPCR. Furthermore, Northern blot and immunofluorescence were employed to evaluate pre-rRNA processing and nucleolar morphology. ResultsPES1 expression was significantly downregulated in senescent MEFs and HepG2 cells. PES1 knockdown resulted in decreased EdU-positive cells and increased SA‑β‑gal-positive cells, indicating proliferation inhibition and senescence induction. Mechanistically, PES1 suppression activated the p53-p21 pathway without affecting Rb expression, while upregulating IL-6, IL-1β, and IL-8 production. Notably, PES1 depletion impaired pre-rRNA maturation and induced nucleolar stress, as evidenced by aberrant nucleolar morphology. ConclusionOur findings demonstrate that PES1 deficiency triggers nucleolar stress and promotes p53-dependent (but Rb-independent) cellular senescence, highlighting its crucial role in maintaining nucleolar homeostasis and regulating senescence-associated pathways.

BACKGROUND: Spatiotemporal disparities exist in the disease burden of non-communicable diseases (NCDs) attributable to kidney dysfunction, which has been poorly assessed. The present study aimed to evaluate the spatiotemporal trends of the global burden of NCDs attributable to kidney dysfunction and to predict future trends. METHODS: Data on NCDs attributable to kidney dysfunction, quantified using deaths and disability-adjusted life-years (DALYs), were extracted from the Global Burden of Diseases Injuries, and Risk Factors (GBD) Study in 2019. Estimated annual percentage change (EAPC) of age-standardized rate (ASR) was calculated with linear regression to assess the changing trend. Pearson's correlation analysis was used to determine the association between ASR and sociodemographic index (SDI) for 21 GBD regions. A Bayesian age-period-cohort (BAPC) model was used to predict future trends up to 2040. RESULTS: Between 1990 and 2019, the absolute number of deaths and DALYs from NCDs attributable to kidney dysfunction increased globally. The death cases increased from 1,571,720 (95% uncertainty interval [UI]: 1,344,420-1,805,598) in 1990 to 3,161,552 (95% UI: 2,723,363-3,623,814) in 2019 for both sexes combined. Both the ASR of death and DALYs increased in Andean Latin America, the Caribbean, Central Latin America, Southeast Asia, Oceania, and Southern Sub-Saharan Africa. In contrast, the age-standardized metrics decreased in the high-income Asia Pacific region. The relationship between SDI and ASR of death and DALYs was negatively correlated. The BAPC model indicated that there would be approximately 5,806,780 death cases and 119,013,659 DALY cases in 2040 that could be attributed to kidney dysfunction. Age-standardized death of cardiovascular diseases (CVDs) and CKD attributable to kidney dysfunction were predicted to decrease and increase from 2020 to 2040, respectively. CONCLUSION NCDs attributable to kidney dysfunction remain a major public health concern worldwide. Efforts are required to attenuate the death and disability burden, particularly in low and low-to-middle SDI regions.
Humans ; Noncommunicable Diseases/epidemiology* ; Global Burden of Disease ; Disability-Adjusted Life Years ; Male ; Female ; Risk Factors ; Middle Aged ; Kidney Diseases/epidemiology* ; Bayes Theorem ; Adult ; Aged ; Global Health ; Quality-Adjusted Life Years

Rice is the world's largest food crop, and its yield and quality are directly related to food security and human health. Grain size, as one of the important factors determining the rice yield, has been widely concerned by breeders and researchers for a long time. To decipher the regulatory mechanism of rice grain size, we obtained a multi-tiller, dwarf, and small-grain mutant htd1 by ethyl methanesulfonate (EMS) mutation from the Japonica rice cultivar 'Zhonghua 11' ('ZH11'). Genetic analysis indicated that the phenotype of htd1 was controlled by a single recessive gene. Using the mutation site map (Mutmap) method, we identified the candidate gene OsHTD1, which encoded a carotenoid cleavage dioxygenase involved in the biosynthesis of strigolactone (SL). The SL content in htd1 was significantly lower than that in 'ZH11'. Cytological analysis showed that the grain size of the mutant decreased due to the reductions in the length and width of glume cells. The function of htd1 was further verified by the CRISPR/cas9 gene editing technology. The plants with the gene knockout exhibited similar grain size to the mutant. In addition, gene expression analysis showed that the expression levels of multiple grain size-related genes in the mutant changed significantly, suggesting that HTD1 may interact with other genes regulating grain size. This study provides a new theoretical basis for research on the regulatory mechanism of rice grain size and potential genetic resources for breeding the rice cultivars with high yields.
Oryza/growth & development* ; Mutation ; Edible Grain/growth & development* ; Alleles ; Plant Proteins/genetics* ; Dioxygenases/genetics* ; Lactones/metabolism* ; Gene Expression Regulation, Plant ; Genes, Plant ; Gene Editing ; CRISPR-Cas Systems ; Phenotype

Objective:To investigate the metabolic pathways and potential molecular targets associated with dapagliflozin in the treatment of type 2 diabetes mellitus.Methods:Plasma samples from patients with type 2 diabetes mellitus were collected before and after 12 months of dapagliflozin treatment and analyzed using UPLC-VION IMS Q-Tof-based metabolomics and timsTOF Pro2 diaPASEF-based proteomics. Multivariate statistical analyses were performed to identify significant differences pre- and post-treatment. Correlation analysis was then conducted to assess relationships between differentially expressed metabolites and proteins closely associated with type 2 diabetes mellitus. Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analyses were used to construct metabolic pathway maps and predict therapeutic targets.Results:After 12 months of dapagliflozin treatment, 162 differential metabolites were identified, with 59 upregulated and 103 downregulated. A total of 440 differentially expressed proteins were detected, of which 272 were upregulated and 168 were downregulated. The main classes of differential metabolites included sphingolipids, glycerophospholipids, and glycosphingolipids. Key differentially expressed proteins included importin subunit alpha-11, synemin, Janus kinase 1, and far upstream element-binding protein 2. Correlation analysis revealed 98 shared enriched pathways between differential metabolites and proteins, involving neurotrophin signaling, chemokine signaling, and B cell receptor signaling pathways. Metabolic pathway analysis suggested that dapagliflozin might regulate insulin secretion by modulating glucose-dependent insulinotropic polypeptide, calmodulin-dependent protein kinase, and diacylglycerol levels.Conclusion:Dapagliflozin may exert therapeutic effects in type 2 diabetes mellitus through multiple mechanisms, including the modulation of metabolic and proteomic profiles, participation in key cellular signaling pathways, and regulation of insulin secretion.

Objective:To investigate the clinical significance of prenatal screening and genetic analysis in the diagnosis of fetal aberrant right subclavian artery(ARSA).Methods:The ultrasonographic features of ARSA fetu-ses detected by prenatal ultrasound at the University of Hong Kong-Shenzhen Hospital from October 2017 to March 2022 were retrospectively analyzed.The fetuses were divided into isolated ARSA group and complicated ARSA group.Their genetic analysis results and pregnancy outcome were analyzed.Results:Among 30,260 preg-nant women,185 fetuses were diagnosed with ARSA by prenatal ultrasound screening,with an incidence of 0.6％;5 fetuses(2.6％)were diagnosed by ultrasound in the first trimester,and the remaining were diagnosed by fetal grade Ⅲ structural ultrasound examination at 20～24 weeks' gestation.Among them,158 fetuses(85.4％)had isolated ARSA,and 27(14.6％)had complicated ARSA.Among fetuses with ARSA and other structural abnormal-ities,cardiovascular system accounted for the highest proportion(44.4％),followed by nervous system(22.2％)and urinary system(22.2％).Through genetic analysis,8.3％(4/48)fetuses with isolated ARSA and 40.0％(4/10)fetuses with complicated ARSA were found to have chromosomal numerical or structural abnormalities,with statis-tically significant difference between the two groups(P=0.024).Genetic analysis was completed in 48 isolated ARSA,and the positive rate of pathogenic copy number variants(CNV)was 4.2％(2/48),which was not signifi-cantly different from the pathogenic CNV incidence rate of 0.4％(1/239)in elderly pregnant cases during the same period(P=0.074).The Down syndrome positive likelihood ratio(LR+)for isolated ARSA was 2.5 and the Down syndrome LR+for complicated ARSA was 49.6.Conclusions:Complicated ARSA is often associated with cardiovascular abnormalities and is more likely to develop Down syndrome than isolated ARSA.Although the inci-dence of pCNV in isolated ARSA is slightly higher than the natural incidence,the correlation between pCNV and i-solated ARSA has not been clearly determined by the current sample size.