Establishment of a metabolite diagnostic model for the risk of diabetic nephropathy in type 2 diabetic population:Based on a cross-sectional study in China  

作　　者：Jing-Yang Su Yong-Jie Chen Wei Zhang Rui Zhang Tong-Feng Liu Wei-Ming Luo Xi-Lin Yang Zhong-Ze Fang 

机构地区：[1]Department of Toxicology and Sanitary Chemistry,School of Public Health,Tianjin Medical University,Tianjin,China [2]Department of Epidemiology and Biostatistics,School of Public Health,Tianjin Medical University,Tianjin,China

出　　处：《EngMedicine》2024年第2期31-36,共6页医工交叉（英文）

基　　金：Funding for this project was provided by the Project for the National Key Research and Development Program of China(2021YFA1301202);the National Natural Science Foundation of China(82273676);the Liaoning Province Scientific and Technological Project(2021JH2/10300039).

摘　　要：Introduction:This study aimed to investigate the correlation between various plasma metabolites and the likelihood of developing diabetic nephropathy(DN)and construct a diagnostic model for DN in Chinese patients with type 2 diabetes mellitus(T2DM).Methods:A cross-sectional investigation was conducted in a hospital setting.Based on medical data,a total of 743 patients from a tertiary hospital were selected and categorized into two groups:the diabetic nephropathy group(DN group)and the non-diabetic nephropathy group(non-DN group).Plasma levels of metabolites,including amino acids and acylcarnitines,were determined using a laser counter measurement system(LC-MS).Subsequently,partial least-squares regression was used to assess the significance of these metabolites.Receiver operating characteristic(ROC)curves were generated for factors that ranked highest in terms of relevance.Model performance was assessed using the curve(AUC).Results:Of the 743 patients with T2DM admitted to the hospital,145 had DN.Compared with the non-DN group,the DN group exhibited elevated systolic blood pressure(P=0.001),high-density lipoprotein cholesterol(P=0.01),and low-density lipoprotein cholesterol(P=0.042).Additionally,the DN group had a higher prevalence of stroke patients(P<0.001)and diabetic retinopathy patients(P<0.001).Finally,a risk model that included citrulline,leucine,tyrosine,valine,propionylcarnitine(C3),and palmitoylcarnitine(C16)was developed.This model achieved an AUC of 0.709,with a 95%confidence interval(CI)ranging from 0.626 to 0.793.Conclusions:A diagnostic model consisting of six plasma metabolites to assess the risk of DN in Chinese patients with T2DM may provide clues for future research.

关 键 词：Diabetes mellitus Diabetic nephropathy Diagnostic model Amino acids CARNITINE 

分 类 号：R58[医药卫生—内分泌]