4.7 Article

Genome and transcriptome profiling of spontaneous preterm birth phenotypes

期刊

SCIENTIFIC REPORTS
卷 12, 期 1, 页码 -

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41598-022-04881-0

关键词

-

资金

  1. Wellbeing of Women charity, London

向作者/读者索取更多资源

This study aimed to identify early pregnancy biomarkers of preterm birth using genomic and transcriptomic analysis. The researchers found several genes and transcripts associated with spontaneous preterm birth and preterm premature rupture of membranes. These findings provide insights into the underlying mechanisms of preterm birth and may have implications for future prevention and treatment strategies.
Preterm birth (PTB) occurs before 37 weeks of gestation. Risk factors include genetics and infection/inflammation. Different mechanisms have been reported for spontaneous preterm birth (SPTB) and preterm birth following preterm premature rupture of membranes (PPROM). This study aimed to identify early pregnancy biomarkers of SPTB and PPROM from the maternal genome and transcriptome. Pregnant women were recruited at the Liverpool Women's Hospital. Pregnancy outcomes were categorised as SPTB, PPROM (<= 34 weeks gestation, n = 53), high-risk term (HTERM, >= 37 weeks, n = 126) or low-risk (no history of SPTB/PPROM) term (LTERM, >= 39 weeks, n = 188). Blood samples were collected at 16 and 20 weeks gestation from which, genome (UK Biobank Axiom array) and transcriptome (Clariom D Human assay) data were acquired. PLINK and R were used to perform genetic association and differential expression analyses and expression quantitative trait loci (eQTL) mapping. Several significant molecular signatures were identified across the analyses in preterm cases. Genome-wide significant SNP rs14675645 (ASTN1) was associated with SPTB whereas microRNA-142 transcript and PPARG1-FOXP3 gene set were associated with PPROM at week 20 of gestation and is related to inflammation and immune response. This study has determined genomic and transcriptomic candidate biomarkers of SPTB and PPROM that require validation in diverse populations.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据