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Metabolomic profiles associated with subtypes of prediabetes among Mexican Americans in Starr County, Texas, USA.
Jun, Goo; Aguilar, David; Evans, Charles; Burant, Charles F; Hanis, Craig L.
Afiliação
  • Jun G; Human Genetics Center, University of Texas Health Science Center at Houston, P. O. Box 20186, Houston, TX, 77225, USA.
  • Aguilar D; Human Genetics Center, University of Texas Health Science Center at Houston, P. O. Box 20186, Houston, TX, 77225, USA.
  • Evans C; Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI, USA.
  • Burant CF; Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI, USA.
  • Hanis CL; Human Genetics Center, University of Texas Health Science Center at Houston, P. O. Box 20186, Houston, TX, 77225, USA. Craig.L.Hanis@uth.tmc.edu.
Diabetologia ; 63(2): 287-295, 2020 02.
Article em En | MEDLINE | ID: mdl-31802145
ABSTRACT
AIMS/

HYPOTHESIS:

To understand the complex metabolic changes that occur long before the diagnosis of type 2 diabetes, we investigated differences in metabolomic profiles in plasma between prediabetic and normoglycaemic individuals for subtypes of prediabetes defined by fasting glucose, 2 h glucose and HbA1c measures.

METHODS:

Untargeted metabolomics data were obtained from 155 plasma samples from 127 Mexican American individuals from Starr County, TX, USA. None had type 2 diabetes at the time of sample collection and 69 had prediabetes by at least one criterion. We tested statistical associations of amino acids and other metabolites with each subtype of prediabetes.

RESULTS:

We identified distinctive differences in amino acid profiles between prediabetic and normoglycaemic individuals, with further differences in amino acid levels among subtypes of prediabetes. When testing all named metabolites, several fatty acids were also significantly associated with 2 h glucose levels. Multivariate discriminative analyses show that untargeted metabolomic data have considerable potential for identifying metabolic differences among subtypes of prediabetes. CONCLUSIONS/

INTERPRETATION:

People with each subtype of prediabetes have a distinctive metabolomic signature, beyond the well-known differences in branched-chain amino acids. DATA

AVAILABILITY:

Metabolomics data are available through the NCBI database of Genotypes and Phenotypes (dbGaP, accession number phs001166; www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001166.v1.p1).
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Metabolômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Humans / Middle aged País/Região como assunto: America do norte / Mexico Idioma: En Revista: Diabetologia Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Metabolômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Humans / Middle aged País/Região como assunto: America do norte / Mexico Idioma: En Revista: Diabetologia Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos