Gene expression profiling in subcutaneous, visceral, and epigastric adipose tissues of patients with extreme obesity

Autor: David D. K. Rolston, David J. Carey, Anthony T. Petrick, A Yavorek, Jon Gabrielsen, Amanda M. Styer, Glenn S. Gerhard, G C Wood, Christopher D. Still, William E. Strodel, Anna Ibele, George Argyropoulos, Stephen L. Roesch, Peter N. Benotti
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Male
medicine.medical_specialty
Fibroblast Growth Factor 7
Endocrinology
Diabetes and Metabolism

Gastric bypass
Gastric Bypass
Subcutaneous Fat
Medicine (miscellaneous)
Adipose tissue
Intra-Abdominal Fat
Bioinformatics
Real-Time Polymerase Chain Reaction
FGF19
Severity of Illness Index
Article
Internal medicine
Severity of illness
medicine
Humans
microarrays
Inflammation
adipose
Nutrition and Dietetics
Extreme obesity
business.industry
Microarray analysis techniques
Gene Expression Profiling
nutritional and metabolic diseases
epigastric
Middle Aged
medicine.disease
Microarray Analysis
Obesity
Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha
visceral
Obesity
Morbid

Gene expression profiling
PPAR gamma
Endocrinology
Real-time polymerase chain reaction
Fibroblast Growth Factor 1
subcutaneous
Female
business
tissues
Fibroblast Growth Factor 10
Transcription Factors
Zdroj: International journal of obesity (2005)
ISSN: 1476-5497
0307-0565
Popis: Objective The goal of the present study was to identify differences in gene expression between SAT, VAT, and EAT depots in Class III severely obese individuals. Design Human subcutaneous (SAT) and visceral (VAT) adipose tissues exhibit differential gene expression profiles. There is little information, however, about the other proximal white adipose tissue, epigastric (EAT) in terms of its function and contribution to metabolism. Subjects and Methods Using RNA from adipose biospecimens obtained from Class III severely obese patients undergoing open Roux-en-Y gastric bypass surgery, we compared gene expression profiles between SAT, VAT, and EAT, using microarrays validated by real time quantitative PCR. Results The three depots were found to share 1,907 genes. VAT had the greatest number of genes [66] expressed exclusively in this depot, followed by SAT [23], and then EAT [14]. Moreover, VAT shared more genes with EAT [65] than with SAT [38]. Further analyses using ratios of SAT/EAT, VAT/EAT, and SAT/VAT, identified specific as well as overlapping networks and pathways of genes representing dermatological diseases, inflammation, cell cycle and growth, cancer, and development. Targeted analysis of genes playing a role in adipose tissue development and function, revealed that Peroxisome proliferator-activated receptor Gamma Coactivator 1-alpha (PGC1-α) that regulates the precursor of the hormone Irisin (FNCD5), were abundantly expressed in all three fat depots, along with fibroblast growth factors (FGF) FGF1, FGF7, and FGF10, whereas, FGF19 and FGF21 were undetectable. Conclusions These data indicate that EAT has more in common with VAT suggesting similar metabolic potential. The human epigastric adipose depot could play a significant functional role in metabolic diseases and should be further investigated.
Databáze: OpenAIRE