The Association of Plasma Levels of Liver Enzymes and Risk of Gestational Diabetes Mellitus: a Systematic Review and Dose-response Meta-analysis of Observational Studies

Overview

Journal Acta Diabetol

Specialty Endocrinology

Date 2019 Nov 30

PMID 31781958

Citations 11

Authors

Wei Zhao

Li Zhang

Guoliang Zhang

Hamed Kord Varkaneh

Jamal Rahmani

Cain Clark

Paul M Ryan

Hebatullah M Abdulazeem

Ammar Salehisahlabadi

Affiliations

Soon will be listed here.

Abstract

Aims: Relationship between liver enzymes such as gamma-glutamyl transferase (GGT), alanine aminotransferase (ALT), aspartate transaminase (AST) and alkaline phosphatase and risk of gestational diabetes mellitus (GDM) is a controversial issue. The aim of this systematic review and dose-response meta-analysis was to investigate the association between liver enzymes and risk of GDM in observational studies.

Methods: A comprehensive systematic literature search was conducted in MEDLINE/PubMed, SCOPUS and Web of Science databases up to September 2019. Combined odds ratios (ORs) with 95% confidence intervals (CIs) were evaluated by DerSimonian and Laird random-effects models. Dose-response analyses of these relationships were also carried out.

Results: Eight studies with 25,451 participants containing 2549 cases were included in this study. Pooled results showed a significant association between GGT levels and risk of GDM (OR 2.10, 95% CI 1.14-3.86, I 84%). In addition, random-effects model indicated a dramatic and direct significant association between GGT and risk of GDM in nonlinear (p < 0.001) and linear (p < 0.001) dose-response analysis. Associations between ALT and AST with risk of GDM were found to be non-significant (OR 1.32, 95% CI 0.91-1.90, I 65% and OR 0.76, 95% CI 0.52-1.10, I 16%, respectively).

Conclusion: This systematic review and dose-response meta-analysis highlights GGT as a significant and robust predictor of the incidence of GDM in pregnant women.

Citing Articles

The associations of maternal liver biomarkers in early pregnancy with the risk of gestational diabetes mellitus: a prospective cohort study and Mendelian randomization analysis.

Liu H, Zhang L, Cheng H, Chi P, Zhuang Y, Alifu X Front Endocrinol (Lausanne). 2024; 15:1396347.

PMID: 38836232 PMC: 11148214. DOI: 10.3389/fendo.2024.1396347.

Liver biomarkers, lipid metabolites, and risk of gestational diabetes mellitus in a prospective study among Chinese pregnant women.

Wu P, Wang Y, Ye Y, Yang X, Huang Y, Ye Y BMC Med. 2023; 21(1):150.

PMID: 37069659 PMC: 10111672. DOI: 10.1186/s12916-023-02818-6.

Predicting the Risk of Insulin-Requiring Gestational Diabetes before Pregnancy: A Model Generated from a Nationwide Population-Based Cohort Study in Korea.

Lee S, Yu J, Han K, Lee S, You S, Kim H Endocrinol Metab (Seoul). 2023; 38(1):129-138.

PMID: 36702473 PMC: 10008663. DOI: 10.3803/EnM.2022.1609.

Oral Administration of Strain SAU-20 Improves Insulin Resistance and Ameliorates Hepatic Steatosis in Type 2 Diabetic Mice.

Ren Z, Okyere S, Xie L, Wen J, Wang J, Chen Z Front Immunol. 2022; 13:837237.

PMID: 35242140 PMC: 8887768. DOI: 10.3389/fimmu.2022.837237.

ALT/AST as an Independent Risk Factor of Gestational Diabetes Mellitus Compared with TG/HDL-C.

Song S, Zhang Y, Qiao X, Duo Y, Xu J, Peng Z Int J Gen Med. 2022; 15:115-121.

PMID: 35023950 PMC: 8743491. DOI: 10.2147/IJGM.S332946.

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