Diabetic kidney disease （DKD） stands as one of the most prevalent microvascular complications of diabetes，noted for its concealed onset and tendency to evolve into end-stage renal disease，profoundly impacting patients' life expectancy and quality of life. Epithelial-to-mesenchymal transition （EMT） is a central pathological process in the initiation and progression of DKD，facilitating disease advancement and renal fibrosis，thus representing a crucial focus of research into the pathological mechanisms of DKD. EMT is driven by the abnormal activation of signaling pathways，including transforming growth factor-β （TGF-β）/Smad，secreted glycoprotein/β-catenin，Notch，tumor necrosis factor-α （TNF-α）/nuclear factor-κB （NF-κB），and phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR），leading to renal cellular injury and subsequently accelerating renal fibrosis and the progression of DKD. Traditional Chinese medicine （TCM），characterized by its multi-target and multi-pathway therapeutic approach，demonstrates unique advantages in addressing DKD and EMT. Recent research has shown that active ingredients in TCM，including glycosides，flavonoids，and polyphenols，as well as TCM formulas，can precisely target these relevant signaling pathways，effectively inhibiting cellular injury in DKD and intervening in the EMT process. These findings not only underscore the potential of TCM monomers and formulas in treating DKD and EMT but also pave new directions for research in this field within TCM. This paper systematically reviewed the signaling pathways associated with EMT and provided an in-depth analysis of the research achievements and underlying mechanisms of TCM monomers and formulas in treating DKD and intervening in EMT，aiming to offer new insights and directions for TCM in the treatment of DKD and research on EMT，thereby further promoting the modernization and development of TCM.

This document targets digital human metabolic chamber platforms and specifies construction standards and testing protocols covering the full lifecycle of " build-test-operate." It encompasses chamber engineering and environmental control, digital platform and cybersecurity architecture, metabolic measurement and multimodal data acquisition, as well as quantitative system performance and data quality indicators with verifiable acceptance tests. By standardizing architecture, interfaces, and quality control, the specification enables multicenter data interoperability and harmonized quality management, providing high-quality, verifiable, and traceable infrastructure to support precision metabolism research and clinical translation in China.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To summarize the clinical characteristics of elderly patients with stage Ⅰ diffuse large B-cell lymphoma (DLBCL) and analyze the factors associated with prognosis.Methods:A case series study was conducted by retrospectively collecting clinical data from patients aged over 60 years with newly diagnosed stage Ⅰ DLBCL across 20 medical centers in Jiangsu Province, China, between June 2010 and April 2023. The involved site, classification and treatment plan were summarized. The primary endpoints were progression-free survival (PFS) and overall survival (OS). Statistical analyses were performed using the Kaplan-Meier method, and Cox regression model.Results:The study included 255 patients with a median age of 69 years, of whom 130 (51.0%) were male, 66 (25.9%) were aged ≥75 years and 26 (10.1%) had a high Charlson Comorbidity Index (CCI) score of ≥2. Extranodal involvement was observed in 163 (63.9%) patients, with the stomach (37.4%, 61/163), intestine (19.0%, 31/163), testes (11.0%, 18/163), and breast (7.4%, 12/163) being the most frequently affected sites. The non-germinal center B-cell (non-GCB) subtype was prevalent in 63.7% of patients (142/223), with no significant difference between the nodal and extranodal groups ( P=0.681). Furthermore, 73.9% (184/249) and 11.7% (29/249) of patients received the R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone) and R-miniCHOP regimen, respectively. The overall 3-year PFS rate was 81.5%, and the 3-year OS rate was 85.6%. Patients aged ≥75 years ( HR=2.910, 95% CI 1.565-5.408, P=0.001) and/or with a CCI score ≥2 ( HR=2.324, 95% CI 1.141-4.732, P=0.020) had a significantly poorer PFS. Incorporating age ≥75 years and CCI score ≥2 into the stage-modified international prognostic index (sm-IPI) can better stratify the prognosis of elderly patients with stage Ⅰ DLBCL. The 3-year PFS rate was 48.7% in the high-risk group versus 85.7% in the low-risk group ( P<0.001). Conclusions:Our findings show that the elderly patients with stage Ⅰ DLBCL were predominantly characterized by extranodal involvement (particularly in the stomach and intestinal tract) and non-GCB subtype. Age ≥75 years and CCI ≥2 were identified as independent prognostic factors. The newly established sm-IPI-75-CCI incorporating these factors demonstrated superior prognostic discrimination compared to conventional risk assessment systems.

Objective To explore the accuracy of machine learning algorithms based on SHOX2 and RASSF1A methylation levels in predicting early-stage lung adenocarcinoma pathological types. Methods A retrospective analysis was conducted on formalin-fixed paraffin-embedded (FFPE) specimens from patients who underwent lung tumor resection surgery at Affiliated Hospital of Nantong University from January 2021 to January 2023. Based on the pathological classification of the tumors, patients were divided into three groups: a benign tumor/adenocarcinoma in situ (BT/AIS) group, a minimally invasive adenocarcinoma (MIA) group, and an invasive adenocarcinoma (IA) group. The methylation levels of SHOX2 and RASSF1A in FFPE specimens were measured using the LungMe kit through methylation-specific PCR (MS-PCR). Using the methylation levels of SHOX2 and RASSF1A as predictive variables, various machine learning algorithms (including logistic regression, XGBoost, random forest, and naive Bayes) were employed to predict different lung adenocarcinoma pathological types. Results A total of 272 patients were included. The average ages of patients in the BT/AIS, MIA, and IA groups were 57.97, 61.31, and 63.84 years, respectively. The proportions of female patients were 55.38%, 61.11%, and 61.36%, respectively. In the early-stage lung adenocarcinoma prediction model established based on SHOX2 and RASSF1A methylation levels, the random forest and XGBoost models performed well in predicting each pathological type. The C-statistics of the random forest model for the BT/AIS, MIA, and IA groups were 0.71, 0.72, and 0.78, respectively. The C-statistics of the XGBoost model for the BT/AIS, MIA, and IA groups were 0.70, 0.75, and 0.77, respectively. The naive Bayes model only showed robust performance in the IA group, with a C-statistic of 0.73, indicating some predictive ability. The logistic regression model performed the worst among all groups, showing no predictive ability for any group. Through decision curve analysis, the random forest model demonstrated higher net benefit in predicting BT/AIS and MIA pathological types, indicating its potential value in clinical application. Conclusion Machine learning algorithms based on SHOX2 and RASSF1A methylation levels have high accuracy in predicting early-stage lung adenocarcinoma pathological types.

Objective:To investigate the role of telomere length in the causal effects of immune-mediated diseases on liver fibrosis.Methods:Genome-wide association study (GWAS) data were extracted from open GWAS (https: //gwas.mrcieu.ac.uk) for a two-sample Mendelian randomization (MR) analysis. Five immune-mediated autoimmune diseases (rheumatoid arthritis, systemic lupus erythematosus, primary biliary cirrhosis, primary biliary cholangitis, and Crohn′s disease) individually and collectively were included as exposure factors, telomere length as a mediator, and liver fibrosis as the outcome. The Wald ratio and inverse variance weighted (IVW) methods were performed to assess causal effects. The MR-Egger intercept test was adopted to evaluate the level of horizontal pleiotropy. Multivariable MR was employed to quantify the proportion of the effect of immune-mediated diseases on liver fibrosis mediated by telomere length. And sensitivity analyses were performed to assess the robustness of the results.Results:The results of IVW analysis revealed that the overall category of immune-mediated diseases, rheumatoid arthritis, systemic lupus erythematosus, primary biliary cirrhosis, primary biliary cholangitis, and Crohn′s disease were causally related to the high risk of liver fibrosis, and the OR were 1.63 (95% confidence intervals (95% CI): 1.33 to 2.10), 1.28 (95% CI: 1.14 to 1.43), 1.34 (95% CI: 1.02 to 1.74), 1.36 (95% CI: 1.27 to 1.47), 1.37 (95% CI: 1.23 to 1.52), and 1.52 (95% CI: 1.15 to 2.01), respectively ( P<0.001, <0.001, =0.032, <0.001, <0.001, =0.003). Horizontal pleiotropy was detected in the association between Crohn′s disease and liver fibrosis (MR-Egger intercept test, P=0.025).The results of multivariable MR indicated that telomere length acted as a mediating factor in the causal relationship between liver fibrosis and the overall category of immune-mediated diseases, rheumatoid arthritis, systemic lupus erythematosus, primary biliary cholangitis ( OR=2.24, 95% CI: 1.41 to 3.56; OR=1.78, 95% CI: 1.03 to 3.06; OR=2.11, 95% CI: 1.31 to 3.40; OR=2.01, 95% CI: 1.06 to 3.80; P<0.001, =0.038, =0.002, =0.032, respectively ). Conclusion:The causal effects of the overall category of immune-mediated diseases, rheumatoid arthritis, systemic lupus erythematosus, and primary biliary cholangitis on liver fibrosis are mediated by telomere length.

Frailty and depressive disorders exhibit a high prevalence and comorbidity rate in the elderly population.Their coexistence significantly reduces patients'quality of life,increases the risk of disability and mortality,and substantially exacerbates the socioeconomic burden.Emerging evidence indicates a significant bidirectional causal relationship between frailty and depressive disorders.The underlying comorbid mechanisms may be related to elevated levels of pro-inflammatory cytokines such as C-reactive protein,neutrophils,and white blood cells.Grey matter volume reduces in specific brain regions including the bilateral thalamus and right precentral gyrus.And abnormal hormone secretion,such as cortisol,resulting from the overactivation of the hypothalamic-pituitary-adrenal axis.Exercise interventions demonstrate positive effects in preventing and managing both frailty and depressive disorders,indicating broad application prospects.However,the underlying mechanisms require further validation.In summary,the comorbidity of frailty and depressive disorders in the elderly requires greater attention.Current evidence supports exercise intervention as an effective therapeutic strategy for improving health outcomes in this population.

The purpose of this study was to understand the epidemiological and biological character-istics of Clostridium perfringens in avian origin in Yangzhou.A total of 200 intestinal samples(90 from chickens and 110 from ducks)collected from different markets were isolated and identified by isolation and culture,morphological observation,staining microscopy,biochemical tests and other methods,antimicrobial susceptibility test by K-B paper method,and toxin type of isolated bacteria was detected by PCR.Five isolates were screened according to the characteristics of host origin,se-rotype and drug resistance,and multi-locus sequence typing analysis was carried out,and a phylo-genetic tree based on α toxin gene sequences was constructed for isolates from different sources.After morphological and molecular biological identification,a total of 61 strains of Clostridium perfringens were isolated,and the isolation rate was 30.5％,all of which were type A.The antimi-crobial susceptibility results showed that the isolate had the highest resistance rate to amikacin,followed by tetracycline and cotrimoxazole,and was more sensitive to ceftriaxone,penicillin,amoxicillin and imipenem.Multi-drug resistance is very serious,with six or more strains resistant to antibiotics emerging in every market.A total of five different ST types(STs)were found by multi-site sequence analysis,namely ST833,ST834,ST363,ST835,and ST837,and all of them were new ST types except ST363.The information from ST 363 is consistent with clinical isolate of Clostridium perfringens,suggesting that more attention needs to be paid to zoonotic diseases caused by Clostridium perfringens.The α toxin genes of the five isolates were located in four dif-ferent branches in the phylogenetic tree,indicating their genetic diversity,while the isolates from different provenances of the same source were located in the same branch,indicating that they had a closer evolutionary relationship.The Clostridium perfringens from poultry in Yangzhou are mainly type A,and with severe drug resistance and multi-drug resistance present.This research provides scientific evidence for the epidemiology and control of Clostridium perfringens.

Objective Systematic identification and analysis of the cytochrome P450(CYP450)gene family members and their functions in Chrysanthemum indicum L.to provide a basis for further studies on their roles in the flavonoid synthesis pathway.Methods Based on the genomic data of a diploid Chrysanthemum indicum L.,the members of the P450 gene family were identified and analyzed using bioinformatics methods.Moreover,the transcriptome and quasi-targeted metabolome analysis were combined to screen the flavone synthase Ⅱ(FNSII)genes from the CYP93 family,and their expression levels were tested in different tissues of C.indicum using real-time fluorescence quantitative PCR(qPCR).Results A total of 460 P450 genes were identified from the C.indicum genome,belonging to 43 families within 8 family clans.The encoded proteins ranged from 336 to 1538 amino acids in length,with a relative molecular mass between 38.01 to 175.00 kDa,and an isoelectric point between 5.61 to 9.71.Chromosome localization analysis indicated that these 460 P450 genes were unevenly distributed on nine chromosomes,with the highest number of light-responsive elements in the promoter regions.Expression pattern analysis showed that the expression levels of two FNSII genes(CindChr2G00102820.1 and CindChr8G00552890.1)were significantly higher in leaf of C.indicum than in flower.Conclusion The comprehensive analysis of the P450 gene family in C.indicum is helpful to further elucidate the function of the P450 gene family in flavonoid biosynthesis.

Frailty and depressive disorders exhibit a high prevalence and comorbidity rate in the elderly population.Their coexistence significantly reduces patients'quality of life,increases the risk of disability and mortality,and substantially exacerbates the socioeconomic burden.Emerging evidence indicates a significant bidirectional causal relationship between frailty and depressive disorders.The underlying comorbid mechanisms may be related to elevated levels of pro-inflammatory cytokines such as C-reactive protein,neutrophils,and white blood cells.Grey matter volume reduces in specific brain regions including the bilateral thalamus and right precentral gyrus.And abnormal hormone secretion,such as cortisol,resulting from the overactivation of the hypothalamic-pituitary-adrenal axis.Exercise interventions demonstrate positive effects in preventing and managing both frailty and depressive disorders,indicating broad application prospects.However,the underlying mechanisms require further validation.In summary,the comorbidity of frailty and depressive disorders in the elderly requires greater attention.Current evidence supports exercise intervention as an effective therapeutic strategy for improving health outcomes in this population.