Serum metabolomics profile of type 2 diabetes mellitus in a Brazilian rural population

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Padilha, Kallyandra ; Venturini, Gabriela ; Pires, Thiago de Farias ; Horimoto, Andrea R. V. R. ; Malagrino, Pamella Araujo ; Gois, Tamiris Carneiro ; Kiers, Bianca ; Oliveira, Camila Maciel ; Alvim, Rafael de Oliveira ; Blatt, Celso ; Krieger, Jose Eduardo ; Pereira, Alexandre Costa

• Document type: Journal article
• Source: METABOLOMICS; v. 12, n. 10 OCT 2016.
• Web of Science Citations: 2

Abstract

Introduction The development of common forms of diabetes comes from the interaction between environmental and genetic factors, and the consequences of poor glycemic control in these patients could result in several complications. Metabolomic studies for type 2 diabetes mellitus in serum/plasma have reported changes in numerous metabolites, which might be considered possible targets for future mechanistic research. However, the specific role of a particular metabolite as cause or consequence of diabetes derangements is difficult to establish. Objectives As type 2 diabetes is a disease that changes the metabolic profile in several levels, this work aimed to compare the metabolomic profiles of type 2 diabetes mellitus and non-diabetic participants. In addition, we exploited our family-based study design to bring a better understanding of the causal relationship of identified metabolites and diabetes. Methods In the current study, population based metabolomics was applied in 939 subjects from the Baependi Heart Study. Participants were separated into two groups: diabetic (77 individuals) and non-diabetic (862 individuals), and the metabolic profile was performed by GC/MS technique. Results We have identified differentially concentrated metabolites in serum of diabetic and non-diabetic individuals. We identified 72 metabolites up-regulated in type 2 diabetes mellitus compared to non-diabetics. It was possible to recapitulate the main pathways that the literature shows as changed in diabetes. Also, based on metabolomic profile, we separated pre-diabetic individuals (with glucose concentration between 100-125 mg/dL) from non-diabetics and diabetics. Finally, using heritability analysis, we were able to suggest metabolites in which altered levels may precede diabetic development. Conclusion Our data can be used to derive a better understanding of the causal relationship of the observed associations and help to prioritize diabetes-associated metabolites for further work. (AU)

• FAPESP's process: 12/05447-0 - Heritability of metabolic phenotypes in a Brazilian population
• Grantee: Kallyandra Padilha
• Support Opportunities: Scholarships in Brazil - Master
• FAPESP's process: 12/12042-7 - Heritability of Metabolic Phenotypes in the Brazilian Population
• Grantee: Alexandre da Costa Pereira
• Support Opportunities: Regular Research Grants