OBJECTIVES: To explore the value of serum cystatin C (CysC) levels in evaluating renal prognosis in IgA nephropathy (IgAN) patients. METHODS: We retrospectively collected the clinical data of IgAN patients diagnosed by renal biopsy at Guangdong Provincial People's Hospital from January, 2014 to December, 2018. Based on baseline serum CysC levels, the patients were divided into high serum CysC (>1.03 mg/L) group and normal serum CysC (≤1.03 mg/L) group. The composite endpoint for poor renal prognosis was defined as ≥50% decline in estimated glomerular filtration rate (eGFR) and/or progression to end-stage renal disease (ESRD). Lasso regression, multivariate Cox regression and Kaplan-Meier survival analysis were used to identify the risk factors and compare renal survival rates between the two groups. Smooth curves fitting and threshold effect analysis were used to explore the relationship between serum CysC levels and the outcomes. A nomogram model was constructed and its predictive performance was evaluated using concordance index, calibration curve, receiver operating characteristic (ROC) curve and the area under curve (AUC). RESULTS: A total of 356 IgAN patients were enrolled, who were followed up for 4.65±0.93 years. The composite endpoint occurred in 74 patients. High serum CysC was identified as an independent risk factor for poor renal prognosis in IgAN (HR=2.142, 95% CI 1.222 to 3.755), and the patients with high serum CysC levels had a lower renal survival rate (Log-rank χ²=47.970, P<0.001). In patients with serum CysC below 2.12 mg/L, a higher CysC level was associated with an increased risk of poor renal prognosis (β=3.487, 95% CI: 2.561-4.413, P<0.001), while above this level, the increase of the risk was not significant (β=0.676, 95% CI: -0.642-1.995, P=0.315). The nomogram model based on serum CysC and 3 other independent risk factors demonstrated good internal validity with a concordance index of 0.873 (95% CI: 0.839-0.907) and an AUC of 0.909 (95% CI: 0.873-0.945). CONCLUSIONS Serum CysC levels are associated with renal prognosis in IgAN patients, and high serum CysC an independent risk factor for poor renal prognosis.
Humans ; Glomerulonephritis, IGA/diagnosis* ; Cystatin C/blood* ; Prognosis ; Risk Factors ; Retrospective Studies ; Glomerular Filtration Rate ; Kidney Failure, Chronic ; Male ; Female ; Adult ; Nomograms ; Middle Aged

OBJECTIVES: To evaluate the effectiveness and safety of deucravacitinib in Chinese patients with moderate-to-severe plaque psoriasis. METHODS: This retrospective study included 41 patients with moderate-to-severe plaque psoriasis treated with deu-cravacitinib 6 mg once daily for 16 weeks at the First Affiliated Hospital of Wenzhou Medical University between January and September 2024. Effectiveness was assessed by the psoriasis area and severity index (PASI), static physician's global assessment (sPGA), palmoplantar psoriasis area and severity index (PPASI), modified nail psoriasis severity index (mNAPSI), and dermatology life quality index (DLQI) at baseline, 4, 8, 12 and 16 weeks after treatment. Adverse events during treatment were recorded. Laboratory parameters, including complete blood count, liver and kidney function, electrolytes, and lipids, were assessed at baseline, 8, 16 weeks after treatment to evaluate safety. Univariate and multivariate logistic regression analyses were performed to explore factors associated with achieving PASI75 at week 16, using baseline characteristics as independent variables. RESULTS: Significant reductions from baseline in PASI and DLQI scores were observed from week 4 through week 16 (all P<0.01). Overall response rates for PASI75, PASI90, PASI100, sPGA 0 or 1 grade, and DLQI 0 or 1 point increased progressively over the treatment period. 75, 90, and 100 refer to a score reduction of at least 75%, at least 90%, and 100%, respectively, from baseline. Response rates of PASI75, PASI90, PASI100 for the scalp, limbs, and trunk, PPASI75, PPASI90, PPASI100 for palmoplantar lesions, and mNAPSI75, mNAPSI90 for nail lesions increased progressively over time but with different trends. Scalp lesions improved most markedly from week 4, followed by the limbs, whereas improvements in trunk and palmoplantar lesions were relatively slower. Nail lesions responded more slowly, with only 20% of patients achieving marked improve-ment at week 16. Deucravacitinib demonstrated good tolerability and compatibility with concomitant medications. No severe adverse events were reported, indicating a favorable safety profile. Multivariate logistic regression analysis revealed no significant association between the achievement of PASI75 response at week 16 and patient age, body mass index, disease duration, or baseline PASI, sPGA, or DLQI scores (all P>0.05). CONCLUSIONS In this real world study of Chinese patients with moderate-to-severe plaque psoriasis, deucravacitinib demonstrated favorable effectiveness and safety over 16 weeks of treatment.
Humans ; Psoriasis/drug therapy* ; Retrospective Studies ; Male ; Female ; Middle Aged ; China ; Adult ; Treatment Outcome ; Severity of Illness Index ; Quality of Life ; Aged

BACKGROUND: The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate the associations between regional fat distribution and metabolically unhealthy phenotypes in Chinese adults across different BMI categories. METHODS: This cross-sectional study involving 11833 Chinese adults aged 20 years and older. Covariance analysis, adjusted for age, compared the percentage of regional fat (trunk, leg, or arm fat divided by whole-body fat) between metabolically healthy and unhealthy participants. Trends in regional fat percentage with the number of metabolic abnormalities were assessed by the Jonckheere-Terpstra test. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. All analyses were performed separately by sex. RESULTS: In non-obese individuals, metabolically unhealthy participants exhibited higher percent trunk fat and lower percent leg fat compared to healthy participants. Additionally, percent trunk fat increased and percent leg fat decreased with the number of metabolic abnormalities. After adjustment for demographic and lifestyle factors, as well as BMI, higher percent trunk fat was associated with increased odds of being metabolically unhealthy [highest vs. lowest quartile: ORs (95%CI) of 1.64 (1.35, 2.00) for men and 2.00 (1.63, 2.46) for women]. Conversely, compared with the lowest quartile, the ORs (95%CI) of metabolically unhealthy phenotype in the highest quartile for percent arm and leg fat were 0.64 (0.53, 0.78) and 0.60 (0.49, 0.74) for men, and 0.72 (0.56, 0.93) and 0.46 (0.36, 0.59) for women, respectively. Significant interactions between BMI and percentage of trunk and leg fat were observed in both sexes, with stronger associations found in individuals with normal weight and overweight. CONCLUSIONS Trunk fat is associated with a higher risk of metabolically unhealthy phenotype, while leg and arm fat are protective factors. Regional fat distribution assessments are crucial for identifying metabolically unhealthy phenotypes, particularly in non-obese individuals.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Adipose Tissue ; Body Fat Distribution ; Body Mass Index ; China/epidemiology* ; Cross-Sectional Studies ; Health Surveys ; Phenotype

L-valine is an important branched-chain amino acid widely used in the food, pharmaceutical, and feed industries. Microbial fermentation has become the primary production method for L-valine. However, current industrial production still faces issues such as inefficient carbon flux utilization, imbalance in cofactor supply and demand, and suboptimal fermentation processes, which limit the efficient synthesis of L-valine. To further enhance the production performance of L-valine, In this study, metabolic engineering was conducted for a previously constructed Escherichia coli strain with a high yield of L-valine to optimize carbon flux distribution and balance cofactor consumption. Dual-phase oxygen-controlled fermentation was carried out to enhance L-valine production. Firstly, to address the pyruvate loss, we knocked out multiple competing pathway genes (ldhA, poxB, pflB, frdA, and pta), which resulted in a 48% increase in flask yield of the constructed strain VL-04. Next, we optimized the cofactor supply and demand balance by replacing ilvE with bcd (NADH-preferential) from Bacillus subtilis to construct the strain VL-06, which achieved a flask yield of 22.80 g/L, a further improvement of 25.8%. Subsequently, the fermentation conditions of VL-06 were optimized in a 5 L bioreactor with dual-phase oxygen-controlled fermentation. After optimization, the L-valine production reached 86.44 g/L in 26 h, with a glucose-to-acid conversion rate of 44.08% and a production intensity of 3.32 g/(L·h). This study not only shortens the time for L-valine production but also improves the economic efficiency, providing insights for similar fermentation processes employing dual-phase oxygen control.
Metabolic Engineering/methods* ; Escherichia coli/genetics* ; Valine/biosynthesis* ; Fermentation ; Bacillus subtilis/genetics*

[摘 要] 目的：探究包被蛋白复合体β1亚基（COPB1）在食管鳞状细胞癌（ESCC）中的表达，及其对ESCC细胞恶性生物学行为的影响、作用机制及临床意义。方法：采用2014～2018年间在河北医科大学第四医院生物样本库中82例ESCC组织及癌旁组织，常规培养正常食管鳞状上皮细胞HEEC和食管癌细胞KYSE-150、KYSE-170、Eca109、TE1、KYSE-30、KYSE-450，用转染试剂将pcDNA3.1-vector（空载体）、pcDNA3.1-COPB1载体，si-NC和si-COPB1转染至KYSE-150、TE1细胞中，记为NC、COPB1-OE、si-NC和si-COPB1组。用数据库数据分析COPB1 mRNA在泛癌组织中的表达及其表达与免疫细胞浸润的关系，qPCR法检测ESCC组织和细胞中COPB1、PIK3CB、CD68、CD163、CD206、ARG1、IL-10 mRNA水平表达情况，WB法检测ESCC组织和各组细胞中的COPB1、PI3K、CD68、CD163、CD206、p-AKT蛋白表达，克隆形成实验和MTS实验检测各组细胞的增殖能力，划痕愈合实验和Transwell实验检测各组细胞的迁移和侵袭能力，免疫组织化学染色（IHC）法检测ESCC组织中COPB1和CD206蛋白表达。以人单核细胞白血病细胞（THP-1）构建巨噬细胞模型，用佛波酯（PMA）和IL-3和IL-4和ESCC细胞上清液诱导巨噬细胞转型，用qPCR和WB法检测CD68和CD206m RNA和蛋白的表达。结果：COPB1在泛癌组织和ESCC组织中均呈高表达且与淋巴结转移和TNM分期有关联（均P < 0.01），COPB1高表达的ESCC患者总生存期短（P < 0.05），COPB1是潜在的ESCC的诊断标志物。COPB1在KYSE-150和TE1细胞中也呈高表达（均P < 0.05），过表达或敲减COPB1可明显抑制或促进KYSE-150和TE1细胞的增殖能力、迁移和侵袭能力（均P < 0.05）。COPB1表达变化诱导的差异表达基因主要富集于PI3K/AKT通路（均P < 0.001）, COPB1可促进PI3K/AKT通路的活化（P < 0.05），COPB1高表达可导致M2型巨噬细胞浸润增加（P < 0.05），COPB1高表达促进TAM/M2极化（P < 0.05）。结论：COPB1在ESCC组织中呈高表达，其可激活PI3K/AKT通路及调控肿瘤免疫微环境促进 ESCC发生发展，COPB1有望成为ESCC诊断和预后的生物标志物及治疗靶点。

Objective: To explore the influencing factors and pathways of suicidal ideation among children and adolescents with severe autism spectrum disorder (ASD), so as to provide references for clarifying the impact intensity and pathways of various factors on suicidal ideation in the population. Methods: A cross sectional study was conducted from June 17, 2024, to January 12, 2025, involving 96 severely affected ASD children and adolescents aged 8-18 years from Tianjin. Participants were assessed using the Puberty Development Scale (PDS), Children s Alexithymia Measure (CAM), Strengths and Difficulties Questionnaire (SDQ), and Positive and Negative Suicide Ideation (PANSI). The random forest Boruta algorithm was employed to screen core variables, and a Bayesian network model was constructed to analyze the influencing factors of suicidal ideation in children and adolescents with severe ASD. Results: Through the screening using the Boruta algorithm, the SDQ scale score, conduct problems, hyperactivity, peer relationship problems and prosocial behavior were identified as the key predictors of suicidal ideation. A Bayesian network model was established with hyperactivity as the central mediating node. The impact of hyperactivity on suicidal ideation exhibited a non linear relationship: compared to the normal state (31.6%, 68.4%), the borderline state of hyperactivity was associated with a higher probability of low risk suicidal ideation (47.1%) and a lower probability of high risk suicidal ideation (52.9%). Suicidal ideation among children and adolescents with severe ASD was closely related to hyperactivity. In the state of hyperactivity, the abnormal peer relationship (95.2%) and the abnormal prosocial behavior (77.0%) were aggravated. Conclusions Suicide ideation among children and adolescents with severe ASD is strongly associated with hyperactivity traits. It is necessary to establish a prevention and control system centered on hyperactivity intervention to reduce this risk.

Objective:To investigate the association between blood pressure variability (BPV) and all-cause mortality and cardiovascular events in patients undergoing continuous ambulatory peritoneal dialysis (CAPD), and provide reference for clinical management in CAPD patients.Methods:This retrospective cohort study included patients who received CAPD at Guangdong Provincial People's Hospital between May 1, 2010, and July 31, 2023. Baseline and clinical data of the patients were collected. Coefficient of variation of systolic blood pressure (CVSBP) was used to assess BPV. The patients were divided into CVSBP T1, CVSBP T2 and CVSBP T3 groups based on CVSBP tertiles, and the differences among the three groups were compared. Diastolic blood pressure and mean arterial pressure were used to further assess BPV and sensitivity analysis was conducted. The primary endpoint was the composite outcome of all-cause mortality and cardiovascular events. Kaplan-Meier survival curve and Cox regression analysis were used to analyze the association between CVSBP and the primary endpoint.Results:A total of 358 CAPD patients were included, with age of (43.6±13.3) years, and 197 males (55.0%). The proportion of males, proportion of smoking, baseline blood urea nitrogen, serum creatinine and serum albumin in CVSBP T2 (9.08%≤CVSBP<12.55%, n=120) group and CVSBP T3 (CVSBP≥12.55%, n=119) group were lower than those in CVSBP T1 group (CVSBP<9.08%, n=119), and baseline systolic blood pressure, residual kidney Kt/V and total Kt/V were higher than those in CVSBP T1 group, with statistically significant difference among the three groups (all P<0.05). During follow-up of 37(23, 76) months, 49 patients (13.7%) experienced the composite endpoint events, including 12 patients (3.4%) of all-cause deaths and 42 patients (11.7%) of cardiovascular events. Kaplan-Meier survival analysis showed that the incidence of composite endpoint events in CVSBP T3 group was higher than that in CVSBP T1 group and CVSBP T2 group, but the difference was not statistically significant (Log-rank χ2=3.795, P=0.150). Multivariate Cox regression analysis showed that, after adjusting for age, sex, diabetes, baseline systolic blood pressure, residual renal function, and serum albumin, as a continuous variable, CVSBP was not associated with the risk of composite outcome in CAPD patients ( HR=1.058, 95% CI 0.985?1.135, P=0.122); as a categorical variable, with CVSBP T1 group as reference, CVSBP T2 group and CVSBP T3 group were not associated with the risk of composite outcome ( HR=1.222, 95% CI 0.471?3.167, P=0.681; HR=1.827, 95% CI 0.737?4.530, P=0.193). The sensitivity analysis showed that increased variability of diastolic blood pressure ( HR=1.162, 95% CI 1.063?1.270, P=0.021) and increased variability of mean arterial pressure ( HR=1.114, 95% CI 1.030?1.204, P=0.007) were correlated with higher risk of composite outcome in CPAD patients. Conclusions:Systolic blood pressure variability during follow-up is not associated with risk of composite outcome of all-cause mortality and cardiovascular events in CAPD patients. Increased variability of diastolic blood pressure and increased variability of mean arterial pressure are associated with a higher risk of composite outcome in CPAD patients. Interventions to reduce BPV may be helpful to improve the long-term prognosis of CAPD patients.

Accurate characterization of the chemical composition of complex traditional Chinese medicine(TCM)is an essential foundation for the modern scientific interpretation of TCM principles.Mass spectrometry is the most dominant technique in current research on the material basis of TCM,offering the highest sensitivity and the richest information provision.Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components.This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure,PubMed,and Web of Science,using"mass spectrometry database"and"traditional Chinese medicine"as keywords.It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases.The key advancements of these mass spectrometry databases for natural products are summarized,detailing their characteristics,search methodologies,included information,and data sources.Additionally,challenges related to data quality,standardization,timely updates,database interaction,retrieval functionality,and data sharing and security are discussed in depth.Furthermore,the paper explores prospective development directions for TCM mass spectrometry databases,emphasizing the importance of open data sharing,technological innovation,and data security.Through this analysis,the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components,as well as for the construction and application of these databases.

Objective To investigate the impact of various health education intervention strategies on the proper use of personal respiratory protective equipment (RPE) among workers exposed to dust. Methods Dust-exposed workers were recruited from 60 selected enterprises in Guangdong Province using cluster random sampling method. They were randomly allocated to the control, low-intensity intervention, and high-intensity intervention groups, with 358, 346, and 371 workers in each group, respectively. Workers in the control group received no designed intervention. Workers in the low-intensity intervention group received traditional plus mobile health education on the proper use of RPE. Workers in the high-intensity intervention group received all components of the low-intensity intervention, supplemented with peer education. The intervention lasted for six months. RPE usage was compared among the three groups of workers before and after the intervention. Results Workers in the control, low-intensity intervention, and high-intensity intervention groups showed higher rates of both RPE wearing and correct RPE wearing after the intervention than before it within their respective groups (RPE wearing rate: 94.1% vs 99.2%, 95.7% vs 100.0%, 94.6% vs 100.0%, all P<0.01; correct RPE wearing rate: 66.8% vs 91.1%, 67.3% vs 95.7%, 66.6% vs 96.5%, all P<0.01). Post-intervention correct RPE wearing rates were highest in the high-intensity intervention group, followed by the low-intensity intervention group, and the control group, with the percentage of 96.50%, 95.66% and 91.06%, respectively (P<0.01). Binary logistic regression analysis result showed that different intervention strategies affected the correct use of personal RPE among dust-exposed workers after adjusting for gender, age, and other confounding factors (P<0.05). Compared with the control group, the rates of correct RPE use increased in the low-intensity intervention group and the high-intensity intervention group (odd ratio was 2.14 and 3.01; 95% confidence interval was 1.12 - 4.10 and 1.53 - 5.91, respectively). Conclusion The implementation of traditional plus mobile health education interventions on the proper use of RPE can promote correct RPE utilization among dust-exposed workers, and integrating peer education further enhances the intervention effectiveness.

Accurate characterization of the chemical composition of complex traditional Chinese medicine (TCM) is an essential foundation for the modern scientific interpretation of TCM principles. Mass spectrometry is the most dominant technique in current research on the material basis of TCM, offering the highest sensitivity and the richest information provision. Establishing mass spectrometry databases represents the most effective approach to facilitating the structural analysis of TCM chemical components. This paper systematically searches and reviews literature published from January 2005 to January 2025 through online databases such as China National Knowledge Infrastructure, PubMed, and Web of Science, using “mass spectrometry database” and “traditional Chinese medicine” as keywords. It reviews the current status of seven TCM chemical component mass spectrometry databases and seven natural product mass spectrometry databases. The key advancements of these mass spectrometry databases for natural products are summarized, detailing their characteristics, search methodologies, included information, and data sources. Additionally, challenges related to data quality, standardization, timely updates, database interaction, retrieval functionality, and data sharing and security are discussed in depth. Furthermore, the paper explores prospective development directions for TCM mass spectrometry databases, emphasizing the importance of open data sharing, technological innovation, and data security. Through this analysis, the paper aims to offer theoretical guidance and practical recommendations for the precise identification of TCM components, as well as for the construction and application of these databases.