Suppr超能文献

孟德尔随机化研究:为代谢性疾病和慢性肾脏病研究打开一扇新窗口。

Mendelian Randomization Studies: Opening a New Window in the Study of Metabolic Diseases and Chronic Kidney Disease.

作者信息

Liang Ning, Ma Xiaoqi, Cao Yang, Liu Ting, Fang Jing-Ai, Zhang Xiaodong

机构信息

First School of Clinical Medicine, Shanxi Medical University, Taiyuan, China.

Department of Nephrology, The First Hospital of Shanxi Medical University, Taiyuan, China.

出版信息

Endocr Metab Immune Disord Drug Targets. 2025;25(6):442-457. doi: 10.2174/0118715303288685240808073238.

Abstract

It is widely recognized that a strong correlation exists between metabolic diseases and chronic kidney disease (CKD). Based on bibliometric statistics, the overall number of Mendelian randomization (MR) analysis in relation to metabolic diseases and CKD has increased since 2005. In recent years, this topic has emerged as a significant area of research interest. In clinical studies, RCTs are often limited due to the intricate causal interplay between metabolic diseases and CKD, which makes it difficult to ascertain the precise etiology of these conditions definitively. In MR studies, genetic variation is incorporated as an instrumental variable (IV). They elucidate the possible causal relationships between associated risk factors and disease risks by including individual innate genetic markers. It is widely believed that MR avoids confounding and can reverse effects to the greatest extent possible. As an increasingly popular technology in the medical field, MR studies have become a popular technology in causal relationships investigation, particularly in epidemiological etiology studies. At present, MR has been widely used for the investigation of medical etiologies, drug development, and decision-making in public health. The article aims to offer insights into the causal relationship between metabolic diseases and CKD, as well as strategies for prevention and treatment, through a summary of MR-related research on these conditions.

摘要

人们普遍认识到,代谢性疾病与慢性肾脏病(CKD)之间存在密切关联。基于文献计量统计,自2005年以来,与代谢性疾病和CKD相关的孟德尔随机化(MR)分析的总数有所增加。近年来,这一主题已成为一个重要的研究热点领域。在临床研究中,由于代谢性疾病和CKD之间复杂的因果相互作用,随机对照试验(RCT)往往受到限制,这使得难以确切确定这些病症的精确病因。在MR研究中,基因变异被用作一种工具变量(IV)。通过纳入个体先天的基因标记,它们阐明了相关风险因素与疾病风险之间可能的因果关系。人们普遍认为,MR避免了混杂因素,并且能够在最大程度上逆转效应。作为医学领域中越来越流行的技术,MR研究已成为因果关系调查中一种流行的技术,特别是在流行病学病因学研究中。目前,MR已广泛用于医学病因调查、药物开发和公共卫生决策。本文旨在通过总结关于这些病症的MR相关研究,深入探讨代谢性疾病与CKD之间的因果关系以及预防和治疗策略。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验