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Defining the Human Adipose Tissue Proteome To Reveal Metabolic Alterations in Obesity

Adil Mardinoglu (Institutionen för kemi- och bioteknik, Systembiologi) ; C. Kampf ; A. Asplund ; L. Fagerberg ; B. M. Hallstrom ; K. Edlund ; M. Bluher ; F. Ponten ; M. Uhlen ; Jens B. Nielsen (Institutionen för kemi- och bioteknik, Systembiologi)
Journal of Proteome Research (1535-3893). Vol. 13 (2014), 11, p. 5106-5119.
[Artikel, refereegranskad vetenskaplig]

White adipose tissue (WAT) has a major role in the progression of obesity. Here, we combined data from RNA-Seq and antibody-based immunohistochemistry to describe the normal physiology of human WAT obtained from three female subjects and explored WAT-specific genes by comparing WAT to 26 other major human tissues. Using the protein evidence in WAT, we validated the content of a genome-scale metabolic model for adipocytes. We employed this high-quality model for the analysis of subcutaneous adipose tissue (SAT) gene expression data obtained from subjects included in the Swedish Obese Subjects Sib Pair study to reveal molecular differences between lean and obese individuals. We integrated SAT gene expression and plasma metabolomics data, investigated the contribution of the metabolic differences in the mitochondria of SAT to the occurrence of obesity, and eventually identified cytosolic branched-chain amino acid (BCAA) transaminase 1 as a potential target that can be used for drug development. We observed decreased glutaminolysis and alterations in the BCAAs metabolism in SAT of obese subjects compared to lean subjects. We also provided mechanistic explanations for the changes in the plasma level of BCAAs, glutamate, pyruvate, and alpha-ketoglutarate in obese subjects. Finally, we validated a subset of our model-based predictions in 20 SAT samples obtained from 10 lean and 10 obese male and female subjects.

Nyckelord: white adipose tissue, adipocytes, transcriptome, proteome, genome-scale metabolic modeling

Denna post skapades 2014-12-16. Senast ändrad 2015-11-26.
CPL Pubid: 208238


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Institutioner (Chalmers)

Institutionen för kemi- och bioteknik, Systembiologi (2008-2014)


Biokemi och molekylärbiologi

Chalmers infrastruktur

C3SE/SNIC (Chalmers Centre for Computational Science and Engineering)



Denna publikation är ett resultat av följande projekt:

Metagenomics in Cardiometabolic Diseases (METACARDIS) (EC/FP7/305312)