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风险变异体在代谢组学分析中损害多个线粒体途径。

Risk Variants Impair Multiple Mitochondrial Pathways in a Metabolomics Analysis.

机构信息

Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina.

Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina.

出版信息

Kidney360. 2020 Sep 30;1(12):1353-1362. doi: 10.34067/KID.0003592020. eCollection 2020 Dec 31.

Abstract

BACKGROUND

Kidney risk variants (KRVs) in the gene are associated with mitochondrial dysfunction. However, the molecular spectrum of metabolites affected by the G1 and G2 KRVs, and the downstream mitochondrial pathways they affect, remain unknown.

METHODS

We performed a metabolomics analysis using HEK293 Tet-on cells conditionally expressing G0, G1, and G2 KRVs to determine the patterns of metabolites and pathways potentially involved in nephropathy. The Welch two-sample test, matched-pairs test, and two-way repeated measures ANOVA were used to identify differential metabolites. Random forest, a supervised classification algorithm that uses an ensemble of decision trees, and the mean-decrease-accuracy metric were applied to prioritize top metabolites.

RESULTS

Alterations in the tricarboxylic acid cycle, increased fatty acid oxidation, and compromised redox homeostasis were the major pathways affected by overexpression of KRVs.

CONCLUSIONS

Impairment of mitochondrial membrane respiratory chain complex I appeared to account for critical metabolic consequences of KRVs. This finding supports depletion of the mitochondrial membrane potential, as has been reported.

摘要

背景

基因中的肾脏风险变异(KRV)与线粒体功能障碍有关。然而,受 G1 和 G2 KRV 影响的代谢物的分子谱及其影响的下游线粒体途径仍不清楚。

方法

我们使用条件表达 G0、G1 和 G2 KRV 的 HEK293 Tet-on 细胞进行代谢组学分析,以确定可能与肾病相关的代谢物和途径模式。Welch 两样本 t 检验、配对 t 检验和双向重复测量方差分析用于识别差异代谢物。随机森林是一种使用决策树集合的有监督分类算法,以及平均减少精度度量用于优先考虑顶级代谢物。

结果

三羧酸循环的改变、脂肪酸氧化增加和氧化还原稳态受损是 KRV 过表达主要受影响的途径。

结论

线粒体膜呼吸链复合物 I 的损伤似乎解释了 KRV 的关键代谢后果。这一发现支持已报道的线粒体膜电位耗竭。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f133/8815529/fd6be1f3ecd9/KID.0003592020absf1.jpg

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