Objective To elucidate the causal relationship between specific immune cells and autoimmune hepatitis(AIH)using a two-sample Mendelian randomization(MR)approach.Methods A bidirectional MR analysis was conducted using data from large publicly accessible Genome-Wide Association Study(GWAS)databases.The inverse variance weighted(IVW)method was employed as the primary method to evaluate the relationship between 731 immune cell traits and AIH.The false discovery rate(FDR)was controlled using the Benjamini-Hochberg correction.Additionally,pleiotropy and heterogeneity tests were performed,and a leave-one-out sensitivity analysis was conducted to further validate the robustness of the results.Results At a significance level of 0.20,it was found that the absolute count of CD28-CD8+regulatory T-cells(IVW:odds ratio[OR]=1.486;95％confidence interval[CI],1.189-1.859;P＜0.001;PFDR=0.185),the level of CD28 on CD39+secreting regulatory T-cells(IVW:OR=1.194;95％CI,1.074-1.328;P=0.001;PFDR=0.185),and the level of CD45 on mononuclear myeloid-derived suppressor cells(IVW:OR=1.243;95％CI,1.108-1.394;P＜0.001;PFDR=0.143)were associated with an increased risk of AIH.The level of programmed death-ligand 1 on CD14+CD16+monocytes(IVW:OR=0.849;95％CI,0.771-0.935;P＜0.001;PFDR=0.185)was associated with a reduced risk of AIH.Conclusion Four immune cell phenotypes associated with AIH risk are identified.Further investigation is needed to validate these findings and explore new therapeutic avenues.

Traditional Chinese medicine (TCM) serves as a treasure trove of ancient knowledge, holding a crucial position in the medical field. However, the exploration of TCM's extensive information has been hindered by challenges related to data standardization, completeness, and accuracy, primarily due to the decentralized distribution of TCM resources. To address these issues, we developed a platform for TCM knowledge discovery (TCMKD, https://cbcb.cdutcm.edu.cn/TCMKD/). Seven types of data, including syndromes, formulas, Chinese patent drugs (CPDs), Chinese medicinal materials (CMMs), ingredients, targets, and diseases, were manually proofread and consolidated within TCMKD. To strengthen the integration of TCM with modern medicine, TCMKD employs analytical methods such as TCM data mining, enrichment analysis, and network localization and separation. These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights. In addition to its analytical capabilities, a quick question and answer (Q&A) system is also embedded within TCMKD to query the database efficiently, thereby improving the interactivity of the platform. The platform also provides a TCM text annotation tool, offering a simple and efficient method for TCM text mining. Overall, TCMKD not only has the potential to become a pivotal repository for TCM, delving into the pharmacological foundations of TCM treatments, but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems, extending beyond just TCM.

BACKGROUND:Gut microbiota is closely related to host energy balance and metabolism.The metabolites of intestinal flora can regulate the occurrence and development of obesity and can be a new target for the prevention and treatment of obesity. OBJECTIVE:To summarize the interaction between the intestinal flora and obesity,as well as the specific mechanism underlying regulation of obesity by metabolites of intestinal flora,thereby providing a new reference and basis for the prevention and treatment of obesity. METHODS:"Intestinal microbiota,intestinal bacteria,intestinal microbiota metabolites,short-chain fatty acids,bile acids,ipopolysaccharide,trimethylamine N-oxide,medium-chain fatty acids,tryptophan derivatives,obesity"were used as search terms in Chinese and English.Literature related to obesity from 1990 to 2022 was retrieved in PubMed and CNKI databases.According to inclusion and exclusion criteria,88 articles were finally selected. RESULTS AND CONCLUSION:Intestinal flora is closely related to the occurrence and development of obesity.For example,changes in the Firmicutes to Bacteroidetes ratio can be used as a biomarker for the diagnosis of obesity,and the occurrence of obesity can be delayed by the colonization of probiotics such as Bifidobacterium breve,Lactobacillus and Akkermansia.Intestinal flora is mainly mediated by the metabolites of intestinal flora to participate in the regulation of obesity.For example,short-chain fatty acid can regulate adipogenesis by regulating signaling pathways such as G protein-coupled receptors 41,43 and peroxisome proliferator-activated receptor γ,thus delaying the occurrence and development of obesity.Bile acids can increase insulin sensitivity and body energy expenditure by promoting the activation of G protein-coupled receptor 5 and farnesol X receptor.In addition,lipopolysaccharide,trimethylamine oxide,medium-chain fatty acids and tryptophan derivatives are also widely involved in the occurrence and development of obesity through various signaling pathways.Further studies have found that metabolites of the same bacterial community exert heterogeneous effects in the specific process of regulating obesity via different signaling pathways.For example,under the influence of high-fat diet,acetic acids can activate the parasympathetic nervous system,leading to hyperphagia and liver insulin resistance and thus accelerating the physiological course of obesity.

BACKGROUND:Intestinal flora and its metabolites can participate in the pathological process of osteoporosis and play an important role in the diagnosis and treatment of osteoporosis.In addition,exercise can regulate the intestinal flora and thus affect the occurrence and development of osteoporosis. OBJECTIVE:To summarize the effects and mechanism of intestinal flora on osteoblasts,osteoclasts,and bone marrow mesenchymal stem cells,and the potential role of exercise-mediated intestinal flora in regulating osteoporosis. METHODS:"Intestinal flora,intestinal bacteria,metabolites of intestinal flora,bone metabolism,osteoporosis,exercise"were selected as keywords.Literatures from 1990 to 2023 were retrieved from PubMed and CNKI databases. RESULTS AND CONCLUSION:Changes in the abundance and diversity of intestinal flora and changes in the levels of intestinal flora metabolites such as trimethylamine oxide and bile acid can be used as biomarkers for the diagnosis of osteoporosis.The imbalance of intestinal flora can lead to intestinal barrier dysfunction and excessive production of lipopolysaccharides and trimethylamine oxide,induce the secretion of tumor necrosis factor-α and other inflammatory cytokines,activate the nuclear factor κB signaling pathway and aggravate oxidative stress,thus promoting osteoclast differentiation,inducing osteoblast apoptosis and affecting bone marrow mesenchymal cell migration.Remodeling intestinal flora homeostasis can inhibit inflammatory response,downregulate oxidative stress,inhibit osteoclast differentiation,promote osteoblast differentiation,and regulate the osteogenic migration of bone marrow mesenchymal cells to prevent and treat osteoporosis.Exercise can regulate intestinal flora homeostasis,improve intestinal barrier function,promote the secretion of short-chain fatty acids and bile acids,down-regulate serum lipopolysaccharide level,reduce oxidative stress,and then inhibit osteocyte apoptosis,inhibit osteoclast differentiation,promote osteoblast differentiation,and regulate osteocyte nutrient metabolism to exert the potential of preventing and treating osteoporosis.

Objective:To investigate the association between different dietary patterns and subtypes of metabolic associated fatty liver disease(MAFLD).Methods:A total of 6 022 check-ups at the health management center of the Second Hospital of Dalian Medical University from January 2022 to March 2023 were selected as study subjects. MAFLD was categorised into three subtypes: overweight/obese type, metabolic disorder type, and diabetic type. Factor analysis was used to extract dietary patterns. Logistic regression was used to assess the impact of dietary patterns on MAFLD occurrence, constructing interaction models between dietary patterns intake and age, gender, and physical exercise levels. Results:Four dietary patterns were extracted based on feature sorting after factor analysis and were named as the high-quality protein pattern, the fruit-vegetable pattern, egg-aquatic pattern, and the processed meat pattern. Regression analysis of the unadjusted model showed that overweight/obese and diabetic types of MAFLD were negatively associated with the high-quality protein mode, while model-adjusted regression analysis showed that the processed meat pattern was positively associated with the risk of MAFLD, and fruit-vegetable pattern was positively associated with overweight/obese MAFLD( P<0.05). The results of subgroup analyses suggested that female( OR=1.55, 95% CI 1.14-2.15) with a high intake of pickle pattern had a higher risk of overweight/obese MAFLD than male( OR=1.18, 95% CI 1.02-1.49). Conclusion:High-quality protein pattern was negatively correlated with MAFLD, whereas fruit-vegetable pattern and processed meat pattern were positively correlated with MAFLD. Female with high consumption of processed meat pattern are more likely to develop overweight/obesity MAFLD compared with male. It is recommended that people with MAFLD reduce their intake of processed products and high-fructose food, and consume adequate amounts of high-quality protein food to maintain a balanced diet.

Objective:To investigate the relationship between obesity and incident chronic kidney disease(CKD) in a population undergoing health check-ups.Methods:This is a retrospective cohort study. A total of 31 251 participants who had at least 2 health physical examinations in the Health Management Center of the Second Affiliated Hospital of Dalian Medical University from January 2017 to December 2022 and met the inclusion criteria were selected. The participants were divided into normal body weight group, overweight group, and obese group according to baseline body mass index. Cox proportional hazard regression model was used to analyze the relationship between obesity and new-onset CKD, and the dose-response relationship between body mass index and CKD was analyzed with restricted cubic splines.Results:Multivariate Cox regression analysis showed that the risk of developing CKD increased by 13%( HR=1.13, 95% CI 1.01-1.25) and 55%( HR=1.55, 95% CI 1.36-1.76) in the overweight and obese group compared to the normal weight group. Subgroup analysis indicated that obese women had a higher risk of developing CKD compared to men. There was a " U-shaped" correlation between body mass index and CKD in male population, with the lowest risk of CKD occurring at body mass index of 19.6-24.2 kg/m 2. In women, the relationship between body mass index and CKD was approximately linear, with the risk of CKD gradually increasing when body mass index exceeded 22.5 kg/m 2. Conclusions:Obesity is an independent risk factor for new-onset CKD, and obese women have a higher risk of developing CKD than men. Regarding CKD prevention, men are advised to maintain a higher level of body weight within the normal range of body mass index, while women are encouraged to control their weight to a lower level within the normal body mass index range.

Objective:To explore the correlation between systemic immunity-inflammation index(SII) and hyperuricemia(HUA).Methods:Participants who had at least 3 health checkups in the Health Management Center of the Second Affiliated Hospital of Dalian Medical University from January 2014 to December 2022 were selected to construct a dynamic cohort. The SII, reflecting the inflammatory state of the body, was constructed using neutrophil, platelet, and lymphocyte counts. A Cox proportional hazard regression model was used to explore the association between SII and HUA in the overall population and different subgroups of the population, and sensitivity analysis was performed twice. Results:A total of 20 022 subjects were included, and the mean follow-up time was 3.67 years. After adjusting for confounding factors, each unit increase in the natural logarithm of SII(lnSII) was associated with a 24% increased risk of hyperuricemia( HR=1.24, 95% CI 1.16-1.32, P<0.001). As a categorical variable, compared with the lowest quartile array( Q1), the risk of HUA in the total population increased by 12%( HR=1.12, 95% CI 1.03-1.21, P=0.006), 14%( HR=1.14, 95% CI 1.06-1.24, P=0.001), 27%( HR=1.27, 95% CI 1.17-1.37, P<0.001) in Q2, Q3 and Q4 groups within the general population, respectively. All subgroup analysis and sensitivity analysis showed that SII was positively correlated with HUA. Conclusions:Elevated levels of SII significantly increase the risk of HUA. Assessing the body′s inflammatory status using SII can aid in risk screening and preventive management for individuals at high risk of HUA.

Objective:This study aims to investigate the anxiety-like behavior induced by cystitis and its neurobio-logical mechanisms in the anterior cingulate cortex(ACC)by constructing a mouse model of cystitis.Methods:A cys-titis model was established using lipopolysaccharide(LPS).Anxiety-like behavior in mice was explored through the open field test,and single-nucleus RNA sequencing was used to analyze changes in gene expression of neurons in the ACC.Results:HE staining results indicated significant inflammatory responses in the bladders of LPS-treated mice,including extensive infiltration of inflammatory cells,tissue edema,and bladder epithelial shedding.The open field test showed that the time and distance of mice moving in the central area of the open field were significantly reduced,indica-ting obvious anxiety-like behavior.Quality control of single-nucleus sequencing data suggested good data quality.Di-mensionality reduction clustering of the top 2000 highly variable genes revealed seven different cell subpopulations in the ACC.Five major cell types were identified in the ACC,and neurons were further clustered into five different subpopula-tions,identifying two main cell types.Differential gene analysis indicated significant changes in gene expression in neu-rons,with functional enrichment in pathways related to synaptic dysfunction.Conclusion:Cystitis can induce changes in gene expression in specific cell subpopulations in the ACC,suggesting that neurons may play an important role in the anxiety-like behavior induced by cystitis.This provides a new perspective for understanding the relationship between cystitis and anxiety behavior and offers important experimental evidence for future exploration of the brain regions and molecular mechanisms underlying cystitis-induced anxiety behavior.

Objective:To study the correlation between different body weight metabolic phenotypes and their changes and new-onset hyperuricemia in physical examination population.Methods:This study was a retrospective cohort study. A total of 31 956 people who underwent routine physical examination and met the inclusion and exclusion criteria at the Health Management Center of the Second Affiliated Hospital of Dalian Medical University from January 1, 2014 to August 31, 2022 were selected as the study subjects to establish a dynamic physical examination cohort. The end point of follow-up was new-onset hyperuricemia or the end of follow-up period. Cox regression stepwise fitting model was used to analyze the risk of different body weight metabolic phenotypes and hyperuricemia, and stratified analysis was performed for gender. According to body weight metabolic phenotype, the subjects were divided into normal metabolism and normal weight(NMNW) group, normal metabolism and obesity (NMO) group, abnormal metabolism and normal weight (AMNW) group and abnormal metabolism and obesity (AMO) group. The risk of hyperuricemia was calculated according to the changes of body weight metabolic phenotype during the follow-up period. In the sensitivity analysis, the robustness of the results was verified by changing the diagnostic criteria for hyperuricemia, removing patients with hyperuricemia at the first year of follow-up, and removing subjects aged ≥65 years.Results:Compared with the NMNW group, the risk of hyperuricemia in the NMO group, AMNW group and AMO group increased by 78.9%, 61.3%, 115.4%, respectively ( χ2=272.88, 128.15, 496.12, all P<0.001). Patients who were initially classified as NMNW at baseline, if transitioned to NMO or AMO by the follow-up endpoint, their risk of hyperuricemia increased by 122.5% ( χ2=8.01, P<0.05) and 137.4% ( χ2=15.99, P<0.001), respectively. When the baseline AMNW group changed to AMO, the risk of hyperuricemia was increased by 119.2% ( χ2=6.63, P<0.05). For patients with AMO as baseline, if they turned into NMNW and AMNW at the end of follow-up, their risk of hyperuricemia would decrease by 58.3% ( χ2=43.67, P<0.001) and 27.2% ( χ2=16.07, P<0.001). Patients with a baseline of NMO who transitioned to NMNW and AMNW at the follow-up endpoint had their risk of developing hyperuricemia decreased by 36.7% ( χ2=25.35, P<0.001) and 30.9% ( χ2=9.70, P<0.05), respectively. Conclusions:The transition from metabolic health and non-overweight obesity to metabolic abnormalities and overweight obesity is associated with an increased risk of hyperuricemia, and improvements in metabolic health or weight are associated with a decreased risk of hyperuricemia.