Carlotta Vizioli1, Rosario B Jaime-Lara1, Alexis T Franks1, Rodrigo Ortiz1, Paule V Joseph1. 1. Sensory Science & Metabolism Unit, Biobehavioral Branch, Division of Intramural Research, National Institute of Nursing Research, 2511National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA.
Abstract
BACKGROUND: Obesity plays a major role in the development of insulin resistance (IR) and diabetes (T2DM). Increased adipose tissue (AT) is particularly of interest because it activates a chronic inflammatory response in adipocytes and other tissues. AT plays key endocrine and metabolic functions, acting in the regulation of insulin sensitivity and energy homeostasis. Additionally, it can be easily collected during bariatric surgery. The purpose of this pilot study was to explore the potential differences in AT metabolism, through comparing the untargeted metabolomic profiles of diabetic and non-diabetic obese patients undergoing bariatric surgery. METHODS: For this exploratory study, samples were collected from 17 subjects. Subcutaneous AT (SAT) samples from obese-diabetic (n = 8) and Obese-non-Diabetic (n = 9) subjects were obtained from the Human Metabolic Tissue Bank. Untargeted metabolomic profiling was performed by Metabolon® Inc. Statistical analysis was performed using the MetaboAnalyst 4.0 platform. RESULTS: Among the 421 metabolites identified and analyzed there were no significant differences between the Obese-Diabetics and the Obese-non-Diabetics. Small changes were observed by fold change analysis mainly in lipid (n = 12; e.g. NEFAs) and amino acid (n = 8; e.g. BCAAs) metabolic pathways. Dysregulation of these metabolites has been associated with IR and other T2DM-related pathophysiological processes. CONCLUSION: Obesity may influence SAT metabolism masking T2DM-dependent dysregulation. Better understanding the metabolic differences within SAT in diabetic populations may help identify potential biomarkers for diagnosis and monitoring of T2DM in patients undergoing bariatric surgery.
BACKGROUND: Obesity plays a major role in the development of insulin resistance (IR) and diabetes (T2DM). Increased adipose tissue (AT) is particularly of interest because it activates a chronic inflammatory response in adipocytes and other tissues. AT plays key endocrine and metabolic functions, acting in the regulation of insulin sensitivity and energy homeostasis. Additionally, it can be easily collected during bariatric surgery. The purpose of this pilot study was to explore the potential differences in AT metabolism, through comparing the untargeted metabolomic profiles of diabetic and non-diabetic obese patients undergoing bariatric surgery. METHODS: For this exploratory study, samples were collected from 17 subjects. Subcutaneous AT (SAT) samples from obese-diabetic (n = 8) and Obese-non-Diabetic (n = 9) subjects were obtained from the Human Metabolic Tissue Bank. Untargeted metabolomic profiling was performed by Metabolon® Inc. Statistical analysis was performed using the MetaboAnalyst 4.0 platform. RESULTS: Among the 421 metabolites identified and analyzed there were no significant differences between the Obese-Diabetics and the Obese-non-Diabetics. Small changes were observed by fold change analysis mainly in lipid (n = 12; e.g. NEFAs) and amino acid (n = 8; e.g. BCAAs) metabolic pathways. Dysregulation of these metabolites has been associated with IR and other T2DM-related pathophysiological processes. CONCLUSION: Obesity may influence SAT metabolism masking T2DM-dependent dysregulation. Better understanding the metabolic differences within SAT in diabetic populations may help identify potential biomarkers for diagnosis and monitoring of T2DM in patients undergoing bariatric surgery.
Authors: F A Hanzu; M Vinaixa; A Papageorgiou; M Párrizas; X Correig; S Delgado; F Carmona; S Samino; J Vidal; R Gomis Journal: Obesity (Silver Spring) Date: 2013-09-18 Impact factor: 5.002
Authors: Bruna R Martins; Letícia C Gomes; Kátia C Boritza; Mauren I Anghebem-Oliveira; Emanuel M Souza; Suzana N França; Geraldo Picheth; Fabiane G M Rego Journal: Clin Lab Date: 2019-09-01 Impact factor: 1.138
Authors: Kirsty L Spalding; Erik Arner; Pål O Westermark; Samuel Bernard; Bruce A Buchholz; Olaf Bergmann; Lennart Blomqvist; Johan Hoffstedt; Erik Näslund; Tom Britton; Hernan Concha; Moustapha Hassan; Mikael Rydén; Jonas Frisén; Peter Arner Journal: Nature Date: 2008-05-04 Impact factor: 49.962