AIM:C57BL/6J mice were transplanted with fecal microbiota from a patient with maturity-onset diabetes of the young(MODY)or a healthy control.This study aimed to investigate the effects of fecal microbiota trans-plantation(FMT)on glucose and lipid metabolism,intestinal flora composition,and short-chain fatty acids(SCFAs)me-tabolism in mice,thereby providing an experimental foundation for understanding the role of gut microbiota in MODY.METHODS:A total of 36 male C57BL/6 mice were randomly allocated into three groups,including:control(CON)group(receiving PBS),normal individual-FMT(NF)group(intervened with normal human fecal microbiota)and MODY patient-FMT(MF)group(intervened with MODY patient fecal microbiota),and the mice were performed fecal microbio-ta,transplantation through oral gavage for 8 weeks.Glucose tolerance was assessed using an oral glucose tolerance test(OGTT),while insulin sensitivity was evaluated through an intraperitoneal insulin tolerance test(ITT).Blood biochemi-cal indicators were measured using ELISA,the composition of the gut microbiota was analyzed using 16S rRNA sequenc-ing,and the concentration of fecal short-chain fatty acids(SCFAs)was determined by gas chromatography-mass spec-trometry(GC-MS).RESULTS:The mice in MF group showed impaired glucose tolerance and reduced insulin sensitivi-ty.The FMT altered the composition of gut microbiota in mice,leading to significant differences in microbial diversity among groups.Specifically,the distribution of 18 bacterial species varied significantly among the three groups,with a no-table reduction in SCFA-producing bacteria observed in the MF group.Analyses of fecal SCFAs revealed that acetic acid levels were significantly lower in the MF group(P<0.05).CONCLUSION:The FMT reduces production of SCFAs by altering gut microbiota composition in mice,which was likely related to impaired glucose tolerance and decreased insulin sensitivity.

AIM:C57BL/6J mice were transplanted with fecal microbiota from a patient with maturity-onset diabetes of the young(MODY)or a healthy control.This study aimed to investigate the effects of fecal microbiota trans-plantation(FMT)on glucose and lipid metabolism,intestinal flora composition,and short-chain fatty acids(SCFAs)me-tabolism in mice,thereby providing an experimental foundation for understanding the role of gut microbiota in MODY.METHODS:A total of 36 male C57BL/6 mice were randomly allocated into three groups,including:control(CON)group(receiving PBS),normal individual-FMT(NF)group(intervened with normal human fecal microbiota)and MODY patient-FMT(MF)group(intervened with MODY patient fecal microbiota),and the mice were performed fecal microbio-ta,transplantation through oral gavage for 8 weeks.Glucose tolerance was assessed using an oral glucose tolerance test(OGTT),while insulin sensitivity was evaluated through an intraperitoneal insulin tolerance test(ITT).Blood biochemi-cal indicators were measured using ELISA,the composition of the gut microbiota was analyzed using 16S rRNA sequenc-ing,and the concentration of fecal short-chain fatty acids(SCFAs)was determined by gas chromatography-mass spec-trometry(GC-MS).RESULTS:The mice in MF group showed impaired glucose tolerance and reduced insulin sensitivi-ty.The FMT altered the composition of gut microbiota in mice,leading to significant differences in microbial diversity among groups.Specifically,the distribution of 18 bacterial species varied significantly among the three groups,with a no-table reduction in SCFA-producing bacteria observed in the MF group.Analyses of fecal SCFAs revealed that acetic acid levels were significantly lower in the MF group(P<0.05).CONCLUSION:The FMT reduces production of SCFAs by altering gut microbiota composition in mice,which was likely related to impaired glucose tolerance and decreased insulin sensitivity.

Objective To investigate the independent risk factors for acute severe cholangitis and related protective factors, and to construct a risk prediction scoring model for acute severe cholangitis. Methods A retrospective analysis was performed for the clinical data of 381 patients with acute cholangitis who were admitted to Department of Hepatobiliary Surgery, The 940th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, from January 2016 to July 2021, among whom there were 273 patients with non-severe cholangitis and 108 patients with severe cholangitis. Univariate and multivariate logistic regression analyses were used to screen out the independent risk factors for acute severe cholangitis and related protective factors, and then a logistic regression model was established. The receiver operating characteristic (ROC) curve was used to evaluate the discriminatory ability of the model, the calibration curve was used to evaluate the prediction accuracy of the model, and decision curve analysis (DCA) was used to evaluate the clinical value of the model. Moreover, the enhanced Bootstrap method was used to perform internal validation of the model and evaluate the performance of the model in internal validation. The model was visualized by the construction of Web calculator, nomogram, and scoring system. The two-independent-samples t test was used for comparison of normally distributed continuous data between groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups; the chi-square test was used for comparison of categorical data between groups. Results The univariate and multivariate logistic regression analyses showed that total bilirubin (TBil) (odds ratio [ OR ]=1.014, 95% confidence interval [ CI ]: 1.009-1.020, P < 0.001), percentage of neutrophils ( OR =1.128, 95% CI : 1.088-1.175, P < 0.001), and age ( OR =1.053, 95% CI : 1.027-1.082, P < 0.001) were independent risk factors, and albumin (Alb) ( OR =0.871, 95% CI : 0.817-0.924, P < 0.001) was a protective factor. The above independent risk factors and protective factor were included in the logistic regression analysis for model fitting, and the predictive model obtained had an area under the ROC curve (AUC) of 0.925 (95% CI : 0.897-0.952), with a specificity of 0.817 and a sensitivity of 0.935 at the optimal cut-off value of 0.245. The calibration curve showed that the predicted probability of the model was approximately equal to the actual probability, with a Brier value of 0.098, and the decision curve analysis showed that the model had a higher net income within the threshold probability interval of 0.1-0.9. Internal validation showed an AUC internal validation of 0.915 and a Brier value internal verification of 0.106. Conclusion TBil, percentage of neutrophils, and age are independent risk factors for acute severe cholangitis, while Alb is a protective factor. The established risk prediction scoring model has good discriminatory ability, calibration, and clinical value and can identify patients with acute severe cholangitis at an early stage, which provides a reference for subsequent diagnosis and treatment.