An integrative systems genetic analysis of mammalian lipid metabolism

Benjamin L. Parker, Anna C. Calkin, Marcus M. Seldin, Michael F. Keating, Elizabeth J. Tarling, Pengyi Yang, Sarah C. Moody, Yingying Liu, Eser J. Zerenturk, Elise J. Needham, Matthew L. Miller, Bethan L. Clifford, Pauline Morand, Matthew J. Watt, Ruth C.R. Meex, Kang Yu Peng, Richard Lee, Kaushala Jayawardana, Calvin Pan, Natalie A. MellettJacquelyn M. Weir, Ross Lazarus, Aldons J. Lusis, Peter J. Meikle, David E. James, Thomas Q. de Aguiar Vallim, Brian G. Drew

Research output: Contribution to journalArticleResearchpeer-review

91 Citations (Scopus)

Abstract

Dysregulation of lipid homeostasis is a precipitating event in the pathogenesis and progression of hepatosteatosis and metabolic syndrome. These conditions are highly prevalent in developed societies and currently have limited options for diagnostic and therapeutic intervention. Here, using a proteomic and lipidomic-wide systems genetic approach, we interrogated lipid regulatory networks in 107 genetically distinct mouse strains to reveal key insights into the control and network structure of mammalian lipid metabolism. These include the identification of plasma lipid signatures that predict pathological lipid abundance in the liver of mice and humans, defining subcellular localization and functionality of lipid-related proteins, and revealing functional protein and genetic variants that are predicted to modulate lipid abundance. Trans-omic analyses using these datasets facilitated the identification and validation of PSMD9 as a previously unknown lipid regulatory protein. Collectively, our study serves as a rich resource for probing mammalian lipid metabolism and provides opportunities for the discovery of therapeutic agents and biomarkers in the setting of hepatic lipotoxicity.

Original languageEnglish
Pages (from-to)187-193
Number of pages7
JournalNature
Volume567
Issue number7747
DOIs
Publication statusPublished - 14 Mar 2019

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