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Maternal Body Mass Index Is Associated with Profile Variation in Circulating MicroRNAs at First Trimester of Pregnancy
Many women enter pregnancy with overweight and obesity, which are associated with complications for both the expectant mother and her child. MicroRNAs (miRNAs) are short non-coding RNAs that regulate many biological processes, including energy metabolism. Our study aimed to identify first trimester...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313007/ https://www.ncbi.nlm.nih.gov/pubmed/35885031 http://dx.doi.org/10.3390/biomedicines10071726 |
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author | Thibeault, Kathrine Légaré, Cécilia Desgagné, Véronique White, Frédérique Clément, Andrée-Anne Scott, Michelle S. Jacques, Pierre-Étienne Guérin, Renée Perron, Patrice Hivert, Marie-France Bouchard, Luigi |
author_facet | Thibeault, Kathrine Légaré, Cécilia Desgagné, Véronique White, Frédérique Clément, Andrée-Anne Scott, Michelle S. Jacques, Pierre-Étienne Guérin, Renée Perron, Patrice Hivert, Marie-France Bouchard, Luigi |
author_sort | Thibeault, Kathrine |
collection | PubMed |
description | Many women enter pregnancy with overweight and obesity, which are associated with complications for both the expectant mother and her child. MicroRNAs (miRNAs) are short non-coding RNAs that regulate many biological processes, including energy metabolism. Our study aimed to identify first trimester plasmatic miRNAs associated with maternal body mass index (BMI) in early pregnancy. We sequenced a total of 658 plasma samples collected between the 4th and 16th week of pregnancy from two independent prospective birth cohorts (Gen3G and 3D). In each cohort, we assessed associations between early pregnancy maternal BMI and plasmatic miRNAs using DESeq2 R package, adjusting for sequencing run and lane, gestational age, maternal age at the first trimester of pregnancy and parity. A total of 38 miRNAs were associated (FDR q < 0.05) with BMI in the Gen3G cohort and were replicated (direction and magnitude of the fold change) in the 3D cohort, including 22 with a nominal p-value < 0.05. Some of these miRNAs were enriched in fatty acid metabolism-related pathways. We identified first trimester plasmatic miRNAs associated with maternal BMI. These miRNAs potentially regulate fatty acid metabolism-related pathways, supporting the hypothesis of their potential contribution to energy metabolism regulation in early pregnancy. |
format | Online Article Text |
id | pubmed-9313007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93130072022-07-26 Maternal Body Mass Index Is Associated with Profile Variation in Circulating MicroRNAs at First Trimester of Pregnancy Thibeault, Kathrine Légaré, Cécilia Desgagné, Véronique White, Frédérique Clément, Andrée-Anne Scott, Michelle S. Jacques, Pierre-Étienne Guérin, Renée Perron, Patrice Hivert, Marie-France Bouchard, Luigi Biomedicines Article Many women enter pregnancy with overweight and obesity, which are associated with complications for both the expectant mother and her child. MicroRNAs (miRNAs) are short non-coding RNAs that regulate many biological processes, including energy metabolism. Our study aimed to identify first trimester plasmatic miRNAs associated with maternal body mass index (BMI) in early pregnancy. We sequenced a total of 658 plasma samples collected between the 4th and 16th week of pregnancy from two independent prospective birth cohorts (Gen3G and 3D). In each cohort, we assessed associations between early pregnancy maternal BMI and plasmatic miRNAs using DESeq2 R package, adjusting for sequencing run and lane, gestational age, maternal age at the first trimester of pregnancy and parity. A total of 38 miRNAs were associated (FDR q < 0.05) with BMI in the Gen3G cohort and were replicated (direction and magnitude of the fold change) in the 3D cohort, including 22 with a nominal p-value < 0.05. Some of these miRNAs were enriched in fatty acid metabolism-related pathways. We identified first trimester plasmatic miRNAs associated with maternal BMI. These miRNAs potentially regulate fatty acid metabolism-related pathways, supporting the hypothesis of their potential contribution to energy metabolism regulation in early pregnancy. MDPI 2022-07-18 /pmc/articles/PMC9313007/ /pubmed/35885031 http://dx.doi.org/10.3390/biomedicines10071726 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Thibeault, Kathrine Légaré, Cécilia Desgagné, Véronique White, Frédérique Clément, Andrée-Anne Scott, Michelle S. Jacques, Pierre-Étienne Guérin, Renée Perron, Patrice Hivert, Marie-France Bouchard, Luigi Maternal Body Mass Index Is Associated with Profile Variation in Circulating MicroRNAs at First Trimester of Pregnancy |
title | Maternal Body Mass Index Is Associated with Profile Variation in Circulating MicroRNAs at First Trimester of Pregnancy |
title_full | Maternal Body Mass Index Is Associated with Profile Variation in Circulating MicroRNAs at First Trimester of Pregnancy |
title_fullStr | Maternal Body Mass Index Is Associated with Profile Variation in Circulating MicroRNAs at First Trimester of Pregnancy |
title_full_unstemmed | Maternal Body Mass Index Is Associated with Profile Variation in Circulating MicroRNAs at First Trimester of Pregnancy |
title_short | Maternal Body Mass Index Is Associated with Profile Variation in Circulating MicroRNAs at First Trimester of Pregnancy |
title_sort | maternal body mass index is associated with profile variation in circulating micrornas at first trimester of pregnancy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313007/ https://www.ncbi.nlm.nih.gov/pubmed/35885031 http://dx.doi.org/10.3390/biomedicines10071726 |
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