Objective To investigate the effect of bone metabolic markers on sarcopenia in elderly patients with type 2 diabetes mellitus (T2DM). Methods A total of 412 patients with T2DM in the department of endocrinology of Nanjing Central Hospital from May 2020 to June 2025 were selected as the research subjects. According to Asian Working Group for Sarcopenia (AWGS) in 2019, these patients were evaluated for skeletal muscle mass index (ASMI), muscle strength, and muscle function, and were divided into a sarcopenia group (84 cases) and a non-sarcopenia group (328 cases). The glucolipid metabolic indexes were detected in both groups of patients, and the bone metabolic markers were evaluated, including procollagen type 1 N-terminal peptide (P1NP), beta-C-terminal telopeptide of type 1 collagen (β-CTX), and 25-hydroxy vitamin D [25-(OH)D]. The factors influencing the occurrence of sarcopenia in T2DM patients were analyzed by logistic regression analysis, and the diagnostic values of bone metabolic markers on sarcopenia in patients with T2DM were assessed by ROC curve. Results The levels of P1NP and 25-(OH)D were lower, while β-CTX level was higher in the sarcopenia group compared to the non-sarcopenia group, with statistical differences (P<0.05). After logistic correlation analysis, it was found that P1NP, β-CTX and 25-(OH)D were all influencing factors for the occurrence of sarcopenia in T2DM patients. ROC curve analysis suggested that combined detection of PINP, β-CTX, and 25-(OH)D had higher diagnostic value, with an area under the curve up to 0.805. Conclusion The abnormal expression of bone metabolic markers is associated with the increased risk of sarcopenia in patients with T2DM. The detection of serum bone metabolic markers expression level is of certain significance for the assessment of diabetes-related sarcopenia.

[摘 要] 目的：探讨绿茶单体表没食子儿茶素没食子酸酯（EGCG）对大鼠肝癌发生过程中肠道菌群结构变化的影响。方法：建立二乙基亚硝胺（DEN）诱导的肝癌大鼠模型。将26只SD大鼠随机分成3组，分别为正常对照组、肝癌组和EGCG干预组。从实验开始第1天起，EGCG干预组每日给予EGCG（40 mg/kg）灌胃，正常对照组和肝癌组给予等量生理盐水灌胃，1次/日，持续至第20周。灌胃结束后，采集大鼠粪便样本，提取DNA，进行高通量16S rRNA V3-V4区测序；处死大鼠，取肝，观察肿瘤形成情况，并计算肝癌发生率。对测序数据进行生物信息学分析：经质控、聚类获得操作分类单元（OTU）表，据此计算α多样性指数（包括Observed species、Chao1、Shannon和Simpson指数），并进行β多样性分析。同时，对物种进行分类学注释，比较各组间菌群组成与丰度差异。结果： EGCG干预组大鼠（8只）肝脏肿瘤形成率明显低于肝癌组（10只）（50% vs 100%， P = 0.023），正常对照组（8只）大鼠无肿瘤发生。在肠道菌群方面，肝癌组操作分类单元（OTU）数量远低于正常对照组（P <0.001），而EGCG干预组OTU数量总体上高于肝癌组（P = 0.021）。α多样性分析显示，肝癌组Shannon指数低于正常对照组（P < 0.05）；此外，与肝癌组相比，EGCG干预组的Observed species指数、Chao1指数、Shannon指数和Simpson指数均显著提高（P < 0.05）。β多样性分析及主坐标分析（PCoA）表明，三组肠道菌群结构存在显著分离（PERMANOVA， R² = 0.3918， P = 0.001），其中EGCG干预组群落结构介于肝癌组与正常对照组之间，并更接近于正常对照组。肝癌组大鼠较正常大鼠肠道菌群中链球菌等潜在致病菌富集，丁酸产生相关菌（如丁酸球菌属、瘤胃球菌属等）丰度显著降低（P < 0.05）。相比之下，在EGCG干预肝癌发生过程中，大鼠肠道菌群结构相对稳定。厚壁菌门/拟杆菌门比值较肝癌组显著提高（P < 0.05），益生菌（如双歧杆菌属、乳杆菌属等）和丁酸产生相关菌（如丁酸球菌属）富集。结论：EGCG干预可降低DEN诱导的大鼠肝癌发生率，并有助于稳定肠道菌群结构，其作用可能与增加菌群多样性、促进益生菌及丁酸产生菌富集、恢复菌群平衡有关。

Objective To investigate the incidence trends and influencing factors of non-alcoholic fatty liver disease (NAFLD) -related cirrhosis in China, predict future disease burden, and provide evidence for public health prevention strategies. Methods Based on the Global Burden of Disease (GBD) 2021 database, we employed joinpoint regression analysis to analyze NAFLD-related cirrhosis trends in China from 1990 to 2021, quantified influencing factors using age-period-cohort modeling, and predicted future incidence through Bayesian age-period-cohort analysis. Results The age-standardized incidence rates (ASIRs) of NAFLD-related cirrhosis showed a persistent increase from 1990 to 2021, with annual percentage changes (APCs) of 0.70% for male and 0.79% for female(both P<0.05). Age-effects revealed a U-shaped variation pattern, peaking in the 60-69 age group. Period effects indicated an incidence peak during 2017-2021. Cohort effects showed the most prominent risk in the 1992-1996 birth cohort. Projections suggested ASIR would further increase to 578.40 and 930.61 per 100 000 population for males and females, respectively, by 2030. Conclusions The disease burden of NAFLD-related cirrhosis continues to worsen in China, with future incidence rates projected to keep rising. Priority attention should be given to middle-aged and elderly populations and sex differences, with targeted prevention and control measures needing to be developed.

This study was aimed at investigating the prevalence of Dabie bandavirus(DBV)infection in suspected cases of se-vere fever with thrombocytopenia syndrome(SFTS)and tick specimens in Cangzhou City from 2023 to 2024,and providing scientific basis for the prevention,control and pathogen surveillance of SFTS in this area.Pathogen detection and virus isolation were performed on suspected SFTS cases and tick specimens collected in Cangzhou City from 2023 to 2024.The next-generation sequencing technol-ogy was used to conduct whole-genome sequencing of DBV.A phylogenetic tree was constructed using software such as MEGA,DNA Star,and homology comparison and amino acid variation site analysis were carried out.Among the 70 suspected SFTS cases,the DBV positive detection rate was 60%(42/70).The positive cases were mainly farmers aged 50-79,concentrated in Yanshan County and Haixing County.402 ticks were pooled into 31 sample tubes,among which 2 tubes tested positive for DBV nucleic acid,with a mini-mum infection rate of 0.50%.A total of 9 human-derived and 2 tick-derived DBV strains were isolated.The whole-genome sequencing results showed that all strains clustered within the F branch,with sequences homology exceeding 99%.There were a total of 10 amino acid variation sites in the RdRP,GP and NSs sequences.Therefore,the distribution of SFTS cases in Cangzhou City exhibited regional clustering.The overall level of DBV infection in ticks in this region was relatively low.It is recommended to further improve the disease early warning mechanism and continue to conduct pathogen surveillance.

China emerges as a major country in nuclear energy development and the application of nuclear and radiologic technology. The diagnosis and treatment of acute radiation syndrom (ARS) caused by external irradiation represent a core function in the country′s medical rescue of nuclear and radiological emergencies. Clinically, ARS manifests hematopoietic, gastrointestinal, cutaneous, and central nervous system syndromes, with specific clinical manifestations, signs, severity, and prognosis strongly correlated with radiation dose. China has established a number of national and provincial centers for treating radiation-induced damage. Nevertheless, most medical staff have limited experience in ARS treatment. This consensus presents a summary of recent experience in treating ARS of China. In combination with recommendations from international organizations such as the World Health Organization (WHO), this consensus proposes key evidence of critical clinical issues of ARS, covering all links in the rescue of external irradiation-induced ARS. Initially, clinical diagnosis, syndromes, and severe degrees should be determined based on clinical symptoms and dose estimates. It is necessary to normalize clinical treatment measures for hematopoietic recovery, gastrointestinal injury treatment, infection control, symptomatic treatment, and multi-organ function preservation. To this end, this consensus offers cautions. This consensus provides principles of treatment with traditional Chinese medicine, psychological intervention, and follow-up. Additionally, it highlights multidisciplinary collaboration. It is recommended that this consensus be applied in relevant treatment centers.

Objective:To investigate the causal relationship between plasma proteins and spontaneous abor-tion using a two-sample Mendelian randomization method.Methods:Using genome-wide association study(GWAS)data from an Icelandic population as an exposure factor and spontaneous abortion data from the Finn-ish Genetic Research Project(FinnGen)as an outcome,the causal relationship between plasma proteins and the risk of developing spontaneous abortion was analyzed using a Mendelian randomization(MR)study.The inverse variance weighting(IVW)method was used as the primary study method,with MR-Egger,weighted median and weighted mode complementing the results;and sensitivity analyses were performed using Cochrane's Q test,MR-Egger intercept testand leave-one-out method to validate the reliability of the data.Results:Seven plasma proteins were identified as potentially correlated with the risk of spontaneous abortion of which fucosyltransferase 10(FUT10)(OR 0.955,95％CI 0.915-0.996,P=0.034),plexin B2(PLXNB2)(OR 0.947,95％CI 0.902-0.995,P=0.030),and interleukin-11 receptor alpha(IL-11Rα)(OR0.905,95％CI 0.848-0.966,P=0.003)were associ-ated with a reduced risk of SA development,while plasma proteins soluble L-selectin(SL-selectin)(OR 1.076,95％CI 1.021-1.134,P=0.006),Cripto protein(OR 1.039,95％CI 1.008-1.071,P=0.012),dendritic cell-specif-ic intercellular adhesion molecule 3-grabbing non-integrin(DC-SIGN)(OR 1.051,95％CI 1.022-1.082,P=0.001),and protein Z-dependent protease inhibitor(ZPI)(OR 1.035,95％CI 1.001-1.071,P=0.045)levels were positively associated with the risk of developing SA.No heterogeneity or horizontal pleiotropy was detected(Co-chrane's Q test and MR-Egger intercept test,P＞0.05),and leave-one-out analysis showed that there were no individual single-nucleotide polymorphisms that had a large impact on the overall data.Conclusions:This Mende-lian randomization analyses confirmed the causal relationship between multiple plasma proteins and spontaneous abortion,which is potentially clinically valuable for studying the correlation between plasma proteins and spontane-ous abortion.

Objective To investigate the expression pattern and potential functional mechanisms of hematological and neurological expressed 1(HN1)in ovarian cancer(OC).Methods The gene expression profiling interactive analysis(GEPIA),Kaplan-Meier plotter,and the University of Alabama at Birmingham Cancer Data Analysis Portal(UALCAN)online databases were utilized to analyze the expression profile of HN1 across pan-cancer datasets,as well as its differential expression and prognostic significance in OC.Co-expressed genes of HN1 were identified based on the cancer genome atlas database,followed by functional enrichment analyses using Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathways.Furthermore,the association between HN1 expression and immune cell infiltration in OC tissues was explored by using R software.Results Analysis of the GEPIA database revealed that HN 1 expression was significantly elevated in 20 types of tumor tissues,including OC,compared to normal tissues(P＜0.05).UALCAN data indicated that HN1 expression was markedly higher in poorly differentiated OC patients(P＜0.05).Kaplan-Meier survival analysis showed that patients with high HN 1 expression had significantly shorter progression-free survival,overall survival,and post-progression survival compared to those with low HN1 expression(P＜0.05).GO and KEGG enrichment analyses suggested that HN1 is mainly involved in the regulation of the cell cycle.Immunological analysis demonstrated that HN 1 expression levels were positively correlated with the infiltration of CD4+Th2 cells and dendritic cells in OC tissues(P＜0.05).Conclusion HN1 is highly expressed in OC and may play a role in tumor progression by regulating cell cycle,promoting epithelial-mesenchymal transition,and modulating immune cell infiltration.HN1 has the potential to serve as a novel biomarker for the diagnosis and targeted therapy of OC.

Objective This study aims to introduce and explore the application of the medical service price online audit system,which enables pre-positioning,informatization,intelligence,and refinement of price management,ensuring the safety of medical insurance funds and protecting the legitimate rights and interests of patients.Methods Taking a tertiary hospital in Guangdong Province as an example,the application practice of the medical institution's online audit system for price management is thoroughly introduced.Results Through the real-time monitoring of charge data by the online audit system,full-process man-agement is carried out,including pre-warning,mid-intervention,and post-analysis of medical billing behavior,in order to stand-ardize clinical diagnosis and treatment practices.Conclusion By utilizing information technology and continuously improving in-telligent audit rules,the standardization of hospital charge management can be promoted,internal control construction can be strengthened,and the hospital's refinement development can be facilitated.

Non-inferiority clinical trials are a research paradigm that employs randomized controlled methods to evaluate whether the treatment effect of the experimental group is not inferior to that of the active control group within a predefined acceptable margin. This article systematically summarizes the applicable conditions, key design elements, and statistical analysis methods for non-inferiority trials. By integrating representative case studies in the field of oncology, it elucidates the unique value of non-inferiority designs in balancing benefits and risks and in optimizing therapeutic decisions. Through reviewing theoretical frameworks and addressing common misconceptions in methodological practices, this study aims to provide clear guidance for the standardized design and scientific interpretation of non-inferiority trials, thereby promoting their high-quality application in clinical research.

Objective:To predict the monthly incidence of hemorrhagic fever with renal syndrome (HFRS) in Hebei Province by using the generalized additive model (GAM).Methods:The incidence data of HFRS in Hebei from 2006 to 2020 were collected, and the correlation coefficients between meteorological factors and the monthly incidence of HFRS in Hebei were analyzed by Spearman's correlation, and the meteorological factors were lagged by 0-6 orders, and those with the largest absolute values of the correlation coefficients were screened to be included in the multifactorial GAM to evaluate the effects of meteorological factors.Results:The monthly incidence of HFRS had the strongest correlation with monthly mean air temperature at lag order 2, monthly mean wind speed at lag order 0, monthly mean sunshine at lag order 4, monthly mean precipitation at lag order 2 and monthly mean humidity at lag order 1, which were diagnosed by the variance inflation factor and included in the multifactorial GAM, and the results showed significant differences among the factors (all P<0.001), and they showed non-linear relationships with the monthly incidence of HFRS. Mean monthly temperature was an important factor influencing HFRS incidence. Mean monthly air temperature, mean monthly sunshine and mean monthly wind speed were negatively associated with HFRS incidence, whereas mean monthly precipitation and mean monthly humidity were positively associated with HFRS incidence. Conclusions:There was a complex non-linear relationship between meteorological factors and the incidence of HFRS. GAM incorporated with lagged meteorological factors can be used to predict the incidence of HFRS in Hebei.