Extended Multiplexing of Tandem Mass Tags (TMT) Labeling Reveals Age and High Fat Diet Specific Proteome Changes in Mouse Epididymal Adipose Tissue.
The lack of high-throughput methods to analyze the adipose tissue protein composition limits our understanding of the protein networks responsible for age and diet related metabolic response. We have developed an approach using multiple-dimension liquid chromatography tandem mass spectrometry and extended multiplexing (24 biological samples) with tandem mass tags (TMT) labeling to analyze proteomes of epididymal adipose tissues isolated from mice fed either low or high fat diet for a short or a long-term, and from mice that aged on lowversushigh fat diets. The peripheral metabolic health (as measured by body weight, adiposity, plasma fasting glucose, insulin, triglycerides, total cholesterol levels, and glucose and insulin tolerance tests) deteriorated with diet and advancing age, with long-term high fat diet exposure being the worst. In response to short-term high fat diet, 43 proteins representing lipid metabolism (e.g.AACS, ACOX1, ACLY) and red-ox pathways (e.g.CPD2, CYP2E, SOD3) were significantly altered (FDR < 10%). Long-term high fat diet significantly altered 55 proteins associated with immune response (e.g.IGTB2, IFIT3, LGALS1) and rennin angiotensin system (e.g.ENPEP, CMA1, CPA3, ANPEP). Age-related changes on low fat diet significantly altered only 18 proteins representing mainly urea cycle (e.g.OTC, ARG1, CPS1), and amino acid biosynthesis (e.g.GMT, AKR1C6). Surprisingly, high fat diet driven age-related changes culminated with alterations in 155 proteins involving primarily the urea cycle (e.g.ARG1, CPS1), immune response/complement activation (e.g.C3, C4b, C8, C9, CFB, CFH, FGA), extracellular remodeling (e.g.EFEMP1, FBN1, FBN2, LTBP4, FERMT2, ECM1, EMILIN2, ITIH3) and apoptosis (e.g.YAP1, HIP1, NDRG1, PRKCD, MUL1) pathways. Using our adipose tissue tailored approach we have identified both age-related and high fat diet specific proteomic signatures highlighting a pronounced involvement of arginine metabolism in response to advancing age, and branched chain amino acid metabolism in early response to high fat feeding. Data are available via ProteomeXchange with identifier PXD005953.
From the ‡Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Sciences University, Portland, Oregon.
Deanna L
DL
Plubell
§Proteomics Shared Resources, Oregon Health & Sciences University, Portland, Oregon.
Phillip A
PA
Wilmarth
¶Department of Integrative Biology and Physiology, University of California, Los Angeles, California.
Yuqi
Y
Zhao
From the ‡Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Sciences University, Portland, Oregon.
Alexandra M
AM
Fenton
From the ‡Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Sciences University, Portland, Oregon.
Jessica
J
Minnier
§Proteomics Shared Resources, Oregon Health & Sciences University, Portland, Oregon.
Ashok P
AP
Reddy
§Proteomics Shared Resources, Oregon Health & Sciences University, Portland, Oregon.
John
J
Klimek
¶Department of Integrative Biology and Physiology, University of California, Los Angeles, California.
Xia
X
Yang
§Proteomics Shared Resources, Oregon Health & Sciences University, Portland, Oregon.
Larry L
LL
David
From the ‡Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Sciences University, Portland, Oregon; pamir@ohsu.edu.
Nathalie
0000-0002-2074-888X
N
Pamir
D000273:Adipose Tissue / Q000378:metabolism*; D000375:Aging / Q000378:metabolism*; D000818:Animals; D059305:Diet, High-Fat; D004822:Epididymis / Q000378:metabolism*; D053263:Gene Regulatory Networks; D015151:Immunoblotting; D008297:Male; D013058:Mass Spectrometry / Q000379:methods*; D053858:Metabolic Networks and Pathways; D008810:Mice, Inbred C57BL; D020543:Proteome / Q000378:metabolism*; D040901:Proteomics; D015203:Reproducibility of Results; D018401:Sample Size
D020543:Proteome