Maternal adropin levels in patients with gestational diabetes mellitus: a systematic review and meta-analysis

Abstract

Background

Adropin is a regulatory protein with potential implications in energy homeostasis, glucose regulation, and insulin resistance.

Aim

The aim of this meta-analysis was to compare the maternal serum/plasma adropin levels between gestational diabetes mellitus (GDM) patients and non-GDM controls.

Methods

Relevant studies were retrieved by online database and manual searching. The standardized mean differences (SMDs) with 95% confidence intervals (CIs) were obtained by a random-effects meta-analysis. A one-study leave-out sensitivity analysis and trimester-wise subgroup analysis were performed.

Results

A total of eight observations were included in this meta-analysis. The results based on random-effects meta-analysis indicated that adropin levels were significantly increased in GDM patients as compared to non-GDM controls (SMD = 2.41, 95% CI = 0.52–4.29, p= .01). The sensitivity analysis indicated that no single study had significantly influenced the overall outcome.

Conclusions

The results indicate that maternal serum/plasma adropin concentrations were significantly higher in GDM patients as compared to non-GDM controls suggesting the potential associations of adropin in GDM. Despite this, further studies are needed to investigate the mechanistic, diagnostic and prognostic roles of trimester-wise adropin levels in GDM and associated fetal outcomes.

妊娠期糖尿病患者母体adropin水平的系统回顾和meta分析 摘要

背景：Adropin是一种调节蛋白, 在能量稳态、葡萄糖调节和胰岛素抵抗方面有潜在的意义。

目的：这项meta分析的目的是比较妊娠期糖尿病（GDM）患者和非GDM对照组的母体血清/血浆adropin水平。

方法：通过在线数据库和人工检索检索到相关研究。通过随机效应Meta分析获得95%可信区间（CI）的标准化均数差（SMDs）。进行一项研究遗漏敏感性分析和按孕期进行的亚组分析。

结果：这项meta分析共纳入了8项观察结果。基于随机效应Meta分析的结果显示, GDM患者的adropin水平显著高于非GDM对照组（SMD=2.41, 95% CI=0.52-4.29, p=0.01）。敏感性分析表明, 没有一项研究对总体结局有显著影响。

结论：结果表明, GDM患者母体血清/血浆adropin浓度显著高于非GDM患者对照组, 提示adropin与GDM存在潜在的相关性。尽管如此, 仍需进一步的研究来调查不同妊娠期adropin水平在GDM中的机制、诊断和预后作用和相关胎儿结局。

Keywords:

• Adropin
• gestational diabetes mellitus
• meta-analysis
• insulin resistance

Acknowledgements

Dr. S.R. Varikasuvu would like to thank Dr. Anirban Ganguly and Dr. Anandkumar Pandi (Assistant Professors, Department of Biochemistry, AIIMS-Deoghar, Jharkhand) for their help at extracting data from figures reported in two studies [8, 13]. A special note of acknowledgement to Bhairavi Sisters (Sahasra and Aagneya) for the time I could not give them during this work as it was performed before 8 am and after 6 pm from its initiation to completion.

Disclosure statement

The authors report no conflicts of interest. The costs involved in the conduction of this systematic review and meta-analysis were borne by the authors themselves.