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Circulating chemerin levels and gestational diabetes mellitus: a systematic review and meta-analysis

Overview of attention for article published in Lipids in Health and Disease, July 2018
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Title
Circulating chemerin levels and gestational diabetes mellitus: a systematic review and meta-analysis
Published in
Lipids in Health and Disease, July 2018
DOI 10.1186/s12944-018-0826-1
Pubmed ID
Authors

Zhongwei Zhou, Hongmei Chen, Huixiang Ju, Mingzhong Sun

Abstract

Chemerin is a novel adipokine which is associated with metabolic syndrome and type 2 diabetes mellitus. However, recent investigations regarding circulating chemerin levels in gestational diabetes mellitus (GDM) are conflicting. This meta-analysis is to evaluate and determine their associations. A systematic literature search was performed in PubMed, EMBASE and Web of Science up to 13 December 2017. Pooled standardized mean differences (SMD) and 95% confidence interval (CI) were calculated using a random-effect model. Eleven studies comprising 742 GDM patients and 840 normal pregnant women were included. Circulating chemerin levels were increased in GDM patients compared with healthy pregnant women (SMD: 1.16; 95% CI: 0.29, 2.04; P = 0.009). Subgroup analyses revealed such difference was especially available in the groups of the second trimester (SMD: 1.47; 95% CI: 0.28, 2.67) and mean age < 30 years (SMD: 2.30; 95% CI: 0.69, 3.91) of GDM patients. There was significant heterogeneity among studies (I2 = 98.0%, P < 0.001); however, heterogeneity disappeared or markedly decreased in the subgroups of European populations (I2 = 0.0%, P = 0.531), age ≥ 30 years (I2 = 28.2%, P = 0.223) and WHO diagnostic criteria (I2 = 0.0%, P = 0.490) when stratifying by study location, trimester of chemerin measurement and the diagnostic criteria of GDM. The elevated levels of circulating chemerin were associated with GDM, which suggests it might play an important role in the pathogenetic mechanism of GDM.

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Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 23%
Student > Ph. D. Student 8 17%
Student > Doctoral Student 2 4%
Student > Postgraduate 2 4%
Lecturer 1 2%
Other 4 9%
Unknown 19 40%
Readers by discipline Count As %
Medicine and Dentistry 10 21%
Nursing and Health Professions 4 9%
Biochemistry, Genetics and Molecular Biology 3 6%
Agricultural and Biological Sciences 2 4%
Immunology and Microbiology 2 4%
Other 3 6%
Unknown 23 49%