Meta‐analysis of angiotensin‐converting enzyme insersion/delection polymorphism and pre‐eclampsia susceptibility

Abstract

Aim In recent years, there were many studies on angiotensin‐converting enzyme insersion/delection (ACE I/D) polymorphism and pre‐eclampsia susceptibility, but the conclusion was still inconclusive. Our study is to explore the relationship between the ACE I/D polymorphism and the risk of pre‐eclampsia. Methods The literature on the relationship between ACE I/D gene polymorphism and Pre‐eclampsia susceptibility was obtained by searching the databases of Wanfang, VIP, Medline, CNKI, Embase, Pubmed and Springerlink, which was published from the establishment of the databases to October 2019. Taking the odds ratio (OR) value and its 95% confidence interval (CI) as the effect size, the Meta‐analysis was carried out by using stata 15.0 software. Results Thirty articles, consisting of 3184 patients and 3912 controls, were included. The results showed that allele D was compared with allele I, with the OR value of 1.29 (95% CI: 1.12 ~ 1.50, P < 0.05). Subgroup analysis showed that in Caucasians, allele D was associated with OR of 1.28 (95% CI: 1.08 ~ 1.53, P < 0.05). There was no significant difference in Asians. There was statistical significance in recessive gene model and homozygous gene model, as well as in that of Asian and Caucasian. In homozygous model, there was statistical significance, but subgroup analysis showed there was no statistical significance in Asian and Caucasian. There was no statistical significance in dominant model and heterozygous model. Conclusion The polymorphism of ACE I/D gene was associated with the risk of pre‐eclampsia. Allele D and genotype DD may increase the risk of Pre‐eclampsia in pregnant women.

G-Protein Coupled Receptor Dysregulation May Play Roles in Severe Preeclampsia—A Weighted Gene Correlation Network Analysis of Placental Gene Expression Profile

“…There are only a few studies utilizing WGCNA in the analysis of genetic predispositions toward preeclampsia. The majority of the studies in this field mainly identify gene polymorphisms in various population groups [ 39 , 40 , 41 , 42 ]. We reiterate that WGCNA might be a more suitable analysis compared to the analysis of differential expression of genes for a broader look into the networks responsible for the pathophysiology of the disease.…”