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Dataset Information

Metabolomics insights into early type 2 diabetes pathogenesis and detection in individuals with normal fasting glucose.


ABSTRACT:

Aims/hypothesis

Identifying the metabolite profile of individuals with normal fasting glucose (NFG [<5.55 mmol/l]) who progressed to type 2 diabetes may give novel insights into early type 2 diabetes disease interception and detection.

Methods

We conducted a population-based prospective study among 1150 Framingham Heart Study Offspring cohort participants, age 40-65 years, with NFG. Plasma metabolites were profiled by LC-MS/MS. Penalised regression models were used to select measured metabolites for type 2 diabetes incidence classification (training dataset) and to internally validate the discriminatory capability of selected metabolites beyond conventional type 2 diabetes risk factors (testing dataset).

Results

Over a follow-up period of 20 years, 95 individuals with

SUBMITTER: Merino J 

PROVIDER: S-EPMC5940516 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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