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Genome and transcriptome profiling of spontaneous preterm birth phenotypes

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 ear...

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Autores principales: Gupta, Juhi K., Care, Angharad, Goodfellow, Laura, Alfirevic, Zarko, Müller-Myhsok, Bertram, Alfirevic, Ana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770724/
https://www.ncbi.nlm.nih.gov/pubmed/35046466
http://dx.doi.org/10.1038/s41598-022-04881-0
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author Gupta, Juhi K.
Care, Angharad
Goodfellow, Laura
Alfirevic, Zarko
Müller-Myhsok, Bertram
Alfirevic, Ana
author_facet Gupta, Juhi K.
Care, Angharad
Goodfellow, Laura
Alfirevic, Zarko
Müller-Myhsok, Bertram
Alfirevic, Ana
author_sort Gupta, Juhi K.
collection PubMed
description 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.
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spelling pubmed-87707242022-01-24 Genome and transcriptome profiling of spontaneous preterm birth phenotypes Gupta, Juhi K. Care, Angharad Goodfellow, Laura Alfirevic, Zarko Müller-Myhsok, Bertram Alfirevic, Ana Sci Rep Article 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. Nature Publishing Group UK 2022-01-19 /pmc/articles/PMC8770724/ /pubmed/35046466 http://dx.doi.org/10.1038/s41598-022-04881-0 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Gupta, Juhi K.
Care, Angharad
Goodfellow, Laura
Alfirevic, Zarko
Müller-Myhsok, Bertram
Alfirevic, Ana
Genome and transcriptome profiling of spontaneous preterm birth phenotypes
title Genome and transcriptome profiling of spontaneous preterm birth phenotypes
title_full Genome and transcriptome profiling of spontaneous preterm birth phenotypes
title_fullStr Genome and transcriptome profiling of spontaneous preterm birth phenotypes
title_full_unstemmed Genome and transcriptome profiling of spontaneous preterm birth phenotypes
title_short Genome and transcriptome profiling of spontaneous preterm birth phenotypes
title_sort genome and transcriptome profiling of spontaneous preterm birth phenotypes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770724/
https://www.ncbi.nlm.nih.gov/pubmed/35046466
http://dx.doi.org/10.1038/s41598-022-04881-0
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