Gamma-glutamyl transferase and risk of type II diabetes: an updated systematic review and dose-response meta-analysis

Setor K Kunutsor, Ali Abbasi, Amanda I Adler

Research output: Contribution to journalArticle (Academic Journal)peer-review

35 Citations (Scopus)

Abstract

PURPOSE: We assessed the nature of the dose-response relationship between gamma-glutamyl transferase (GGT) levels and risk of incident type II diabetes mellitus (T2DM) in the general population.

METHODS: Systematic review and dose-response meta-analysis of published prospective studies. Relevant studies were identified in a literature search of MEDLINE, EMBASE, and Web of Science databases up to June 2014. We examined a potential nonlinear relationship using restricted cubic splines.

RESULTS: Of the 300 titles reviewed, we included 24 cohort studies with data on 177,307 participants and 11,155 T2DM cases. In pooled analysis of 16 studies with relevant data, there was evidence of a nonlinear association between GGT and T2DM risk in both males (P for nonlinearity = .02) and females (P for nonlinearity = .0005). In a comparison of extreme thirds of baseline levels of GGT, relative risk for T2DM in pooled analysis of all 24 studies was 1.34 (95% confidence interval, 1.27-1.42). There was heterogeneity among the studies (P < .001), which was to a large part explained by blood sample used, study size, degree of confounder adjustment, and quality of studies.

CONCLUSIONS: Circulating level of GGT contributes to an increased risk of T2DM in the general population in a nonlinear dose-response pattern.

Original languageEnglish
Pages (from-to)809-16
Number of pages8
JournalAnnals of Epidemiology
Volume24
Issue number11
DOIs
Publication statusPublished - Nov 2014

Keywords

  • Adult
  • Aged
  • Diabetes Mellitus, Type 2
  • Female
  • Humans
  • Male
  • Middle Aged
  • Risk Factors
  • Sex Factors
  • gamma-Glutamyltransferase

Fingerprint Dive into the research topics of 'Gamma-glutamyl transferase and risk of type II diabetes: an updated systematic review and dose-response meta-analysis'. Together they form a unique fingerprint.

Cite this