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Chemokines in Gestational Diabetes Mellitus.
Liu, Hongying; Liu, Aizhong; Kaminga, Atipatsa C; McDonald, Judy; Wen, Shi Wu; Pan, Xiongfeng.
Affiliation
  • Liu H; Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
  • Liu A; Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
  • Kaminga AC; Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China.
  • McDonald J; Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
  • Wen SW; Department of Mathematics and Statistics, Mzuzu University, Mzuzu, Malawi.
  • Pan X; McLaughlin Centre for Population Health Risk Assessment, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
Front Immunol ; 13: 705852, 2022.
Article in En | MEDLINE | ID: mdl-35211112
ABSTRACT

Background:

Studies investigating chemokines in gestational diabetes mellitus (GDM) have yielded mixed results. The purpose of this meta-analysis was to explore whether concentrations of chemokines in patients with GDM differed from that of the controls.

Methods:

Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we systematically searched Web of Science, Embase, Cochrane Library, and PubMed databases for articles, published in any language, on chemokines and GDM through August 1st, 2021. The difference in concentrations of chemokines between patients with GDM and controls was determined by a standardized mean difference (SMD) with a 95% confidence interval (CI), calculated in the meta-analysis of the eligible studies using a random-effects model with restricted maximum-likelihood estimator.

Results:

Seventeen studies met the inclusion criteria for the meta-analysis. Altogether, they included nine different chemokines comparisons involving 5,158 participants (1,934 GDM patients and 3,224 controls). Results showed a significant increase of these chemokines (CCL2, CXCL1, CXCL8, CXCL9, and CXCL12) in the GDM patients compared with the controls. However, there was a significant decrease of the chemokines, CCL4, CCL11 and CXCL10, in the GDM patients compared with the controls. Moreover, subgroup analysis revealed a potential role of chemokines as biomarkers in relation to laboratory detection (different sample type and assay methods) and clinical characteristics of GDM patients (ethnicity and body mass index).

Conclusion:

GDM is associated with several chemokines (CCL2, CCL4, CCL11, CXCL1, CXCL8, CXCL9, CXCL10 and CXCL12). Therefore, consideration of these chemokines as potential targets or biomarkers in the pathophysiology of GDM development is necessary. Notably, the information of subgroup analysis underscores the importance of exploring putative mechanisms underlying this association, in order to develop new individualized clinical and therapeutic strategies.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes, Gestational / Chemokines Type of study: Guideline / Prognostic_studies / Systematic_reviews Limits: Female / Humans / Pregnancy Language: En Journal: Front Immunol Year: 2022 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes, Gestational / Chemokines Type of study: Guideline / Prognostic_studies / Systematic_reviews Limits: Female / Humans / Pregnancy Language: En Journal: Front Immunol Year: 2022 Document type: Article Affiliation country: China