Clinical metabolomics characteristics of diabetic kidney disease: A meta-analysis of 1875 cases with diabetic kidney disease and 4503 controls

IF 4.6 2区医学 Q1 ENDOCRINOLOGY & METABOLISM

Diabetes/Metabolism Research and Reviews Pub Date : 2024-03-19 DOI:10.1002/dmrr.3789

Yu Yuan, Liping Huang, Lulu Yu, Xingxu Yan, Siyu Chen, Chenghao Bi, Junjie He, Yiqing Zhao, Liu Yang, Li Ning, Hua Jin, Rongrong Yang, Yubo Li

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引用次数: 0

Abstract

Aims

Diabetic Kidney Disease (DKD), one of the major complications of diabetes, is also a major cause of end-stage renal disease. Metabolomics can provide a unique metabolic profile of the disease and thus predict or diagnose the development of the disease. Therefore, this study summarises a more comprehensive set of clinical biomarkers related to DKD to identify functional metabolites significantly associated with the development of DKD and reveal their driving mechanisms for DKD.

Materials and Methods

We searched PubMed, Embase, the Cochrane Library and Web of Science databases through October 2022. A meta-analysis was conducted on untargeted or targeted metabolomics research data based on the strategy of standardized mean differences and the process of ratio of means as the effect size, respectively. We compared the changes in metabolite levels between the DKD patients and the controls and explored the source of heterogeneity through subgroup analyses, sensitivity analysis and meta-regression analysis.

Results

The 34 clinical-based metabolomics studies clarified the differential metabolites between DKD and controls, containing 4503 control subjects and 1875 patients with DKD. The results showed that a total of 60 common differential metabolites were found in both meta-analyses, of which 5 metabolites (p < 0.05) were identified as essential metabolites. Compared with the control group, metabolites glycine, aconitic acid, glycolic acid and uracil decreased significantly in DKD patients; cysteine was significantly higher. This indicates that amino acid metabolism, lipid metabolism and pyrimidine metabolism in DKD patients are disordered.

Conclusions

We have identified 5 metabolites and metabolic pathways related to DKD which can serve as biomarkers or targets for disease prevention and drug therapy.

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糖尿病肾病的临床代谢组学特征：对 1875 例糖尿病肾病患者和 4503 例对照者的荟萃分析。

目的：糖尿病肾病（DKD）是糖尿病的主要并发症之一，也是终末期肾病的主要病因。代谢组学可提供该病独特的代谢特征，从而预测或诊断该病的发展。因此，本研究总结了一套更全面的与 DKD 相关的临床生物标志物，以确定与 DKD 的发展显著相关的功能代谢物，并揭示其对 DKD 的驱动机制：我们检索了截至2022年10月的PubMed、Embase、Cochrane图书馆和Web of Science数据库。分别根据标准化均值差异和均值比过程作为效应大小的策略，对非靶向或靶向代谢组学研究数据进行了荟萃分析。我们比较了DKD患者和对照组之间代谢物水平的变化，并通过亚组分析、敏感性分析和元回归分析探讨了异质性的来源：34项基于临床的代谢组学研究明确了DKD与对照组之间的代谢物差异，其中包括4503名对照组受试者和1875名DKD患者。结果表明，两项荟萃分析共发现了 60 种常见的差异代谢物，其中 5 种代谢物（p 结论：我们发现了 5 种代谢物，它们与对照组和 DKD 患者的代谢相关：我们发现了 5 种与 DKD 相关的代谢物和代谢途径，它们可作为生物标记物或疾病预防和药物治疗的靶点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Diabetes/Metabolism Research and Reviews 医学-内分泌学与代谢

CiteScore

17.20

自引率

2.50%

发文量

审稿时长

4-8 weeks

期刊介绍： Diabetes/Metabolism Research and Reviews is a premier endocrinology and metabolism journal esteemed by clinicians and researchers alike. Encompassing a wide spectrum of topics including diabetes, endocrinology, metabolism, and obesity, the journal eagerly accepts submissions ranging from clinical studies to basic and translational research, as well as reviews exploring historical progress, controversial issues, and prominent opinions in the field. Join us in advancing knowledge and understanding in the realm of diabetes and metabolism.