4.7 Article

Respiromics - An integrative analysis linking mitochondrial bioenergetics to molecular signatures

期刊

MOLECULAR METABOLISM
卷 9, 期 -, 页码 4-14

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.molmet.2018.01.002

关键词

Mitochondria; Respirometry; Proteomics; Mitochondrial pyruvate carrier; Liver disease; Bioenergetics; Obesity; Diabetes

资金

  1. German Diabetes Center (DZD)
  2. Max-Planck-Society (MPS) for the Advancement of Science
  3. German Research Foundation (DFG/Gottfried Wilhelm Leibniz Prize)

向作者/读者索取更多资源

Objective: Energy metabolism is challenged upon nutrient stress, eventually leading to a variety of metabolic diseases that represent a major global health burden. Methods: Here, we combine quantitative mitochondrial respirometry (Seahorse technology) and proteomics (LC-MS/MS-based total protein approach) to understand how molecular changes translate to changes in mitochondrial energy transduction during diet-induced obesity (DIO) in the liver. Results: The integrative analysis reveals that significantly increased palmitoyl-carnitine respiration is supported by an array of proteins enriching lipid metabolism pathways. Upstream of the respiratory chain, the increased capacity for ATP synthesis during DIO associates strongest to mitochondrial uptake of pyruvate, which is routed towards carboxylation. At the respiratory chain, robust increases of complex I are uncovered by cumulative analysis of single subunit concentrations. Specifically, nuclear-encoded accessory subunits, but not mitochondrial-encoded or core units, appear to be permissive for enhanced lipid oxidation. Conclusion: Our integrative analysis, that we dubbed respiromics, represents an effective tool to link molecular changes to functional mechanisms in liver energy metabolism, and, more generally, can be applied for mitochondria! analysis in a variety of metabolic and mitochondrial disease models. (C) 2018 The Authors. Published by Elsevier GmbH.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据