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

Diabetologia
Authors
Keywords
Abstract

AIMS/HYPOTHESIS: Identifying the metabolite profile of individuals with normal fasting glucose (NFG [

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 NFG developed type 2 diabetes. Nineteen metabolites were selected repeatedly in the training dataset for type 2 diabetes incidence classification and were found to improve type 2 diabetes risk prediction beyond conventional type 2 diabetes risk factors (AUC was 0.81 for risk factors vs 0.90 for risk factors + metabolites, p = 1.1 × 10). Using pathway enrichment analysis, the nitrogen metabolism pathway, which includes three prioritised metabolites (glycine, taurine and phenylalanine), was significantly enriched for association with type 2 diabetes risk at the false discovery rate of 5% (p = 0.047). In adjusted Cox proportional hazard models, the type 2 diabetes risk per 1 SD increase in glycine, taurine and phenylalanine was 0.65 (95% CI 0.54, 0.78), 0.73 (95% CI 0.59, 0.9) and 1.35 (95% CI 1.11, 1.65), respectively. Mendelian randomisation demonstrated a similar relationship for type 2 diabetes risk per 1 SD genetically increased glycine (OR 0.89 [95% CI 0.8, 0.99]) and phenylalanine (OR 1.6 [95% CI 1.08, 2.4]).

CONCLUSIONS/INTERPRETATION: In individuals with NFG, information from a discrete set of 19 metabolites improved prediction of type 2 diabetes beyond conventional risk factors. In addition, the nitrogen metabolism pathway and its components emerged as a potential effector of earliest stages of type 2 diabetes pathophysiology.

Year of Publication
2018
Journal
Diabetologia
Volume
61
Issue
6
Pages
1315-1324
Date Published
2018 06
ISSN
1432-0428
DOI
10.1007/s00125-018-4599-x
PubMed ID
29626220
PubMed Central ID
PMC5940516
Links
Grant list
R01 DK078616 / DK / NIDDK NIH HHS / United States
K24-DK110550 / DK / NIDDK NIH HHS / United States
K24 DK110550 / DK / NIDDK NIH HHS / United States
P30 DK040561 / DK / NIDDK NIH HHS / United States
HHSN268201500001C / HL / NHLBI NIH HHS / United States
R01 HL081572 / HL / NHLBI NIH HHS / United States
N01-HC-25195 / HL / NHLBI NIH HHS / United States
HHSN268201500001I / HL / NHLBI NIH HHS / United States
K24 DK080140 / DK / NIDDK NIH HHS / United States
U01 DK078616 / DK / NIDDK NIH HHS / United States
N01HC25195 / HL / NHLBI NIH HHS / United States
2015-703787 / H2020 Marie Skłodowska-Curie Actions / International