同型半胱氨酸在多种疾病中的因果作用:孟德尔随机化研究的系统回顾。

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS
Xiuyuan Zhu, Jiangnan Wei, Jingling Li, Shunli Zuo, Jiaxian Wang, Ning Liu
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引用次数: 0

摘要

背景:同型半胱氨酸(Hcy)与多种疾病的发展有关;然而,其因果关系尚不清楚。孟德尔随机化(MR)研究通过最小化混杂和反向因果关系提供了一种可靠的方法来评估因果关系。目的:本研究旨在通过综合磁共振研究的证据来评价Hcy在各种疾病中的因果作用。方法:我们在PubMed、Cochrane图书馆、Embase和Web of Science中进行了全面的文献检索,检索截止到2024年5月30日发表的MR研究。包括调查遗传易感性与Hcy水平和特定疾病之间关系的研究。结果:33项磁共振研究(涵盖31个不同的主要结果)的结果表明,遗传性Hcy水平升高与几种健康状况的风险增加有关,包括:五种心血管疾病:小血管卒中、小动脉闭塞卒中、卒中、蛛网膜下腔出血和缺血性卒中。六种肌肉骨骼疾病:软组织疾病、骨质疏松伴病理性骨折、医院诊断的骨关节炎(OA)、全身性OA、膝关节OA和髋关节OA。一种肌肉骨骼生物标志物:腰臀比(WHR)根据BMI调整。两种消化系统疾病:胃癌和非酒精性脂肪肝。三种消化生物标志物:碱性磷酸酶(ALP)、丙氨酸转氨酶(ALT)和天冬氨酸转氨酶(AST)。一种泌尿生殖系统疾病:慢性肾病。两种精神障碍:精神分裂症和双相情感障碍i型。一种代谢障碍:代谢综合征。相反,Hcy水平升高与一种神经系统疾病(多发性硬化症)的风险降低有关。两种神经生物标志物:灰质体积和总脑容量。五种肌肉骨骼生物标志物:脚跟骨矿物质密度(BMD),右/左握力,步行速度和阑尾瘦质量。一种泌尿生殖系统生物标志物:估计肾小球滤过率。此外,遗传降低的血浆Hcy水平与前臂骨密度升高相关。结论:这些发现为Hcy在疾病病因中的作用提供了重要证据,并可能有助于制定未来的预防措施或治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The causal role of homocysteine in multiple diseases: a systematic review of Mendelian randomization studies.

Background: Homocysteine (Hcy) has been implicated in the development of multiple diseases; however, its causal role remains unclear. Mendelian randomization (MR) studies provide a robust approach to assessing causality by minimizing confounding and reverse causation.

Objective: This study aimed to evaluate the causal role of Hcy in various diseases by synthesizing evidence from MR studies.

Methods: We performed a comprehensive literature search in PubMed, the Cochrane Library, Embase, and Web of Science for MR studies published up to May 30, 2024. Studies investigating the association between genetic predisposition to Hcy levels and specific diseases were included.

Results: Findings from 33 MR studies (covering 31 distinct primary outcomes) suggest that genetically elevated Hcy levels are associated with an increased risk of several health conditions, including: Five cardiovascular diseases: small vessel stroke, small artery occlusion stroke, stroke, subarachnoid hemorrhage, and ischemic stroke. Six musculoskeletal diseases: soft tissue disorders, osteoporosis with pathological fractures, hospital-diagnosed osteoarthritis (OA), overall OA, knee OA, and hip OA. One musculoskeletal biomarker: waist-to-hip ratio (WHR) adjusted for BMI. Two digestive system diseases: gastric cancer and non-alcoholic fatty liver disease. Three digestive biomarkers: alkaline phosphatase (ALP), alanine aminotransferase (ALT), and aspartate aminotransferase (AST). One urogenital system disease: chronic kidney disease. Two mental disorders: schizophrenia and bipolar disorder type I. One metabolic disorder: metabolic syndrome. Conversely, elevated Hcy levels are associated with a reduced risk of: One neurological disorder: multiple sclerosis. Two neurological biomarkers: gray matter volume and total brain volume. Five musculoskeletal biomarkers: heel bone mineral density (BMD), right/left grip strength, walking pace, and appendicular lean mass. One urogenital system biomarker: estimated glomerular filtration rate. Additionally, genetically reduced plasma Hcy levels correlated with higher forearm BMD.

Conclusion: These findings provide significant evidence for the role of Hcy in disease causation and may contribute to the development of future preventive measures or therapeutic strategies.

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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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