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Serum fibroblast growth factor 21 is a superior biomarker to other adipokines in predicting incident diabetes
Author(s) -
Woo Yu Cho,
Lee Chi Ho,
Fong Carol H.Y.,
Xu Aimin,
Tso Annette W.K.,
Cheung Bernard M.Y.,
Lam Karen S.L.
Publication year - 2017
Publication title -
clinical endocrinology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.055
H-Index - 147
eISSN - 1365-2265
pISSN - 0300-0664
DOI - 10.1111/cen.13229
Subject(s) - adipokine , fgf21 , medicine , diabetes mellitus , adiponectin , endocrinology , type 2 diabetes , biomarker , area under the curve , insulin resistance , risk factor , biology , fibroblast growth factor , biochemistry , receptor
Summary Objective Fibroblast growth factor 21 ( FGF 21) improves glucose and lipid metabolism, but high circulating levels are found in type 2 diabetes, suggesting FGF 21 resistance. Serum FGF 21 predicts incident diabetes, but its performance compared to established and emerging predictors is not known. We aimed to study the performance of FGF 21 in diabetes prediction, relative to other adipokines and established risk factors including 2‐h plasma glucose (2hG) during the oral glucose tolerance test ( OGTT ). Design/Participants/Measurements We studied 1380 nondiabetic subjects from the Hong Kong Cardiovascular Risk Factor Prevalence Study using the second visit (2000–2004) as baseline when serum levels of FGF 21 and other adipokines were measured. Glycaemic status was assessed by OGTT . Incident diabetes was defined as fasting glucose level ( FG ) ≥ 7 mmol/l or 2hG ≥ 11·1 mmol/l or use of antidiabetic agents, at subsequent visits. Results A total of 123 participants developed diabetes over 9·0 years (median). On multivariable logistic regression analysis, FGF 21 ( P = 0·003), adipocyte fatty acid‐binding protein ( P = 0·003) and adiponectin ( P = 0·035) were independent predictors of incident diabetes. FGF 21 had the best change in log likelihood when added to a diabetes prediction model ( DP ) based on age, family history, smoking, hypertension, BMI , dyslipidaemia and FG . It also improved the area under ROC curve ( AUROC ) of diabetes prediction ( DP ) from 0·797 to 0·819 ( P = 0·0072), rendering its performance comparable to the ‘ DP + 2hG’ model ( AUROC =0·838, P = 0·19). Conclusions As a biomarker for diabetes prediction, serum FGF 21 appeared to be superior to other adipokines and, on its own, could be considered as an alternative to the OGTT .