Metabolomics in diabetes, a review
| Autor: | Rigoberto Pallares-Méndez, Ivette Cruz-Bautista, Carlos A. Aguilar-Salinas, Laura del Bosque-Plata |
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| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Diabetes risk 030209 endocrinology & metabolism Disease Type 2 diabetes Biology Bioinformatics 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Insulin resistance Metabolomics Predictive Value of Tests Carnitine Diabetes mellitus medicine Aromatic amino acids Animals Humans Obesity chemistry.chemical_classification General Medicine medicine.disease Amino acid 030104 developmental biology Diabetes Mellitus Type 2 chemistry Insulin Resistance Amino Acids Branched-Chain Biomarkers |
| Zdroj: | Annals of Medicine. 48:89-102 |
| ISSN: | 1365-2060 0785-3890 |
| DOI: | 10.3109/07853890.2015.1137630 |
| Popis: | Metabolomics is a promising approach for the identification of chemical compounds that serve for early detection, diagnosis, prediction of therapeutic response and prognosis of disease. Moreover, metabolomics has shown to increase the diagnostic threshold and prediction of type 2 diabetes. Evidence suggests that branched-chain amino acids, acylcarnitines and aromatic amino acids may play an early role on insulin resistance, exposing defects on amino acid metabolism, β-oxidation, and tricarboxylic acid cycle. This review aims to provide a panoramic view of the metabolic shifts that antecede or follow type 2 diabetes. Key messages BCAAs, AAAs and acylcarnitines are strongly associated with early insulin resistance. Diabetes risk prediction has been improved when adding metabolomic markers of dysglycemia to standard clinical and biochemical factors. |
| Databáze: | OpenAIRE |
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