Sexual Dimorphism of the Mouse Plasma Metabolome Is Associated with Phenotypes of 30 Gene Knockout Lines

Author:

Zhang Ying12ORCID,Barupal Dinesh K.3,Fan Sili1,Gao Bei4ORCID,Zhu Chao5,Flenniken Ann M.67ORCID,McKerlie Colin68,Nutter Lauryl M. J.68ORCID,Lloyd Kevin C. Kent9,Fiehn Oliver1ORCID

Affiliation:

1. West Coast Metabolomics Center, University of California Davis, Davis, CA 95616, USA

2. Department of Chemistry, University of California Davis, Davis, CA 95616, USA

3. Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA

4. School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China

5. College of Medicine & Nursing, Dezhou University, Dezhou 253023, China

6. The Centre for Phenogenomics, Toronto, ON M5T 3H7, Canada

7. Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada

8. The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada

9. Department of Surgery, School of Medicine, and Mouse Biology Program, University of California Davis, Davis, CA 95616, USA

Abstract

Although metabolic alterations are observed in many monogenic and complex genetic disorders, the impact of most mammalian genes on cellular metabolism remains unknown. Understanding the effect of mouse gene dysfunction on metabolism can inform the functions of their human orthologues. We investigated the effect of loss-of-function mutations in 30 unique gene knockout (KO) lines on plasma metabolites, including genes coding for structural proteins (11 of 30), metabolic pathway enzymes (12 of 30) and protein kinases (7 of 30). Steroids, bile acids, oxylipins, primary metabolites, biogenic amines and complex lipids were analyzed with dedicated mass spectrometry platforms, yielding 827 identified metabolites in male and female KO mice and wildtype (WT) controls. Twenty-two percent of 23,698 KO versus WT comparison tests showed significant genotype effects on plasma metabolites. Fifty-six percent of identified metabolites were significantly different between the sexes in WT mice. Many of these metabolites were also found to have sexually dimorphic changes in KO lines. We used plasma metabolites to complement phenotype information exemplified for Dhfr, Idh1, Mfap4, Nek2, Npc2, Phyh and Sra1. The association of plasma metabolites with IMPC phenotypes showed dramatic sexual dimorphism in wildtype mice. We demonstrate how to link metabolomics to genotypes and (disease) phenotypes. Sex must be considered as critical factor in the biological interpretation of gene functions.

Publisher

MDPI AG

Subject

Molecular Biology,Biochemistry,Endocrinology, Diabetes and Metabolism

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