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Year : 2019  |  Volume : 149  |  Issue : 5  |  Page : 616-626

Different gene expression profiles in subcutaneous & visceral adipose tissues from Mexican patients with obesity

1 Laboratory of Biomedicine Research Unit, Faculty of Higher Studies Iztacala, National Autonomous University of Mexico, Mexico City, Mexico
2 Laboratory of Molecular Oncology and Oxidative Stress, Section of Research & Graduate Studies, Superior School of Medicine, National Polytechnic Institute, Mexico City, Mexico
3 Subdirection of Experimental Medicine, Laboratory of Neurosciences, National Institute of Pediatrics, Mexico City, Mexico
4 Research Subdirection, Multidisciplinary Research Laboratory, Military School of Graduate of Health, Mexico City, Mexico
5 Department of Surgery, Military Central Hospital, SEDENA, Mexico City, Mexico

Correspondence Address:
Dr. Noemí Cárdenas-Rodríguez
Laboratory of Neurosciences, National Institute of Pediatrics, 04530 Mexico City
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/ijmr.IJMR_1165_17

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Background & objectives: Obesity is a health problem that requires substantial efforts to understand the physiopathology of its various types and to determine therapeutic strategies for its treatment. The objective of this study was to characterize differences in the global gene expression profiles of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) between control patients (normal weight) and patients with obesity (IMC≥30) using microarrays. Methods: Employing RNA isolated from SAT and VAT samples obtained from eight control and eight class I, II and III patients with obesity, the gene expression profiles were compared between SAT and VAT using microarrays and the findings were validated via real-time quantitative polymerase chain reaction. Results: A total of 327 and 488 genes were found to be differentially expressed in SAT and VAT, respectively (P≤0.05). Upregulation of PPAP2C, CYP4A11 and CYP17A1 genes was seen in the VAT of obese individuals. Interpretation & conclusions: SAT and VAT exhibited significant differences in terms of the expression of specific genes. These genes might be related to obesity. These findings may be used to improve the clinical diagnosis of obesity and could be a tool leading to the proposal of new therapeutic strategies for the treatment of obesity.

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