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A Proteomics Based Approach Reveals Differential Regulation of Visceral Adipose Tissue Proteins between Metabolically Healthy and Unhealthy Obese Patients.
Alfadda, Assim A; Masood, Afshan; Al-Naami, Mohammed Y; Chaurand, Pierre; Benabdelkamel, Hicham.
Affiliation
  • Alfadda AA; Obesity Research Center, College of Medicine, King Saud University, Saudi Arabia.
  • Masood A; Department of Medicine, College of Medicine, King Saud University, Saudi Arabia.
  • Al-Naami MY; Obesity Research Center, College of Medicine, King Saud University, Saudi Arabia.
  • Chaurand P; Department of Surgery, College of Medicine, King Saud University, Saudi Arabia.
  • Benabdelkamel H; Department of Chemistry, Université de Montréal, Montreal, Canada.
Mol Cells ; 40(9): 685-695, 2017 Sep 30.
Article in En | MEDLINE | ID: mdl-28927258
Obesity and the metabolic disorders that constitute metabolic syndrome are a primary cause of morbidity and mortality in the world. Nonetheless, the changes in the proteins and the underlying molecular pathways involved in the relevant pathogenesis are poorly understood. In this study a proteomic analysis of the visceral adipose tissue isolated from metabolically healthy and unhealthy obese patients was used to identify presence of altered pathway(s) leading to metabolic dysfunction. Samples were obtained from 18 obese patients undergoing bariatric surgery and were subdivided into two groups based on the presence or absence of comorbidities as defined by the International Diabetes Federation. Two dimensional difference in-gel electrophoresis coupled with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry was carried out. A total of 28 proteins were identified with a statistically significant difference in abundance and a 1.5-fold change (ANOVA, p ≤ 0.05) between the groups. 11 proteins showed increased abundance while 17 proteins were decreased in the metabolically unhealthy obese compared to the healthy obese. The differentially expressed proteins belonged broadly to three functional categories: (i) protein and lipid metabolism (ii) cytoskeleton and (iii) regulation of other metabolic processes. Network analysis by Ingenuity pathway analysis identified the NFκB, IRK/MAPK and PKC as the nodes with the highest connections within the connectivity map. The top network pathway identified in our protein data set related to cellular movement, hematological system development and function, and immune cell trafficking. The VAT proteome between the two groups differed substantially between the groups which could potentially be the reason for metabolic dysfunction.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Protein Biosynthesis / Proteome / Metabolic Diseases / Obesity Limits: Adult / Female / Humans / Male Language: En Journal: Mol Cells Journal subject: BIOLOGIA MOLECULAR Year: 2017 Document type: Article Affiliation country: Saudi Arabia Country of publication: Korea (South)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Protein Biosynthesis / Proteome / Metabolic Diseases / Obesity Limits: Adult / Female / Humans / Male Language: En Journal: Mol Cells Journal subject: BIOLOGIA MOLECULAR Year: 2017 Document type: Article Affiliation country: Saudi Arabia Country of publication: Korea (South)