Metabolomics and diabetes: analytical and computational approaches.

Abstract:

:Diabetes is characterized by altered metabolism of key molecules and regulatory pathways. The phenotypic expression of diabetes and associated complications encompasses complex interactions between genetic, environmental, and tissue-specific factors that require an integrated understanding of perturbations in the network of genes, proteins, and metabolites. Metabolomics attempts to systematically identify and quantitate small molecule metabolites from biological systems. The recent rapid development of a variety of analytical platforms based on mass spectrometry and nuclear magnetic resonance have enabled identification of complex metabolic phenotypes. Continued development of bioinformatics and analytical strategies has facilitated the discovery of causal links in understanding the pathophysiology of diabetes and its complications. Here, we summarize the metabolomics workflow, including analytical, statistical, and computational tools, highlight recent applications of metabolomics in diabetes research, and discuss the challenges in the field.

journal_name

Diabetes

journal_title

Diabetes

authors

Sas KM,Karnovsky A,Michailidis G,Pennathur S

doi

10.2337/db14-0509

subject

Has Abstract

pub_date

2015-03-01 00:00:00

pages

718-32

issue

3

eissn

0012-1797

issn

1939-327X

pii

db14-0509

journal_volume

64

pub_type

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