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Gut microbiota in pregnant Malaysian women: a comparison between trimesters, body mass index and gestational diabetes status

BACKGROUND: The primary purpose of the study is to determine the variation of gut microbiota composition between first (T1) and third trimester (T3); gestational diabetes mellitus (GDM) and non-gestational diabetes mellitus (NGDM); and also within a different category of Body Mass Index (BMI) of sel...

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Autores principales: Abdullah, Bahiyah, Daud, Suzanna, Aazmi, Mohd Shafiq, Idorus, Mohd Yusri, Mahamooth, Mas Irfan Jaya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876553/
https://www.ncbi.nlm.nih.gov/pubmed/35209853
http://dx.doi.org/10.1186/s12884-022-04472-x
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author Abdullah, Bahiyah
Daud, Suzanna
Aazmi, Mohd Shafiq
Idorus, Mohd Yusri
Mahamooth, Mas Irfan Jaya
author_facet Abdullah, Bahiyah
Daud, Suzanna
Aazmi, Mohd Shafiq
Idorus, Mohd Yusri
Mahamooth, Mas Irfan Jaya
author_sort Abdullah, Bahiyah
collection PubMed
description BACKGROUND: The primary purpose of the study is to determine the variation of gut microbiota composition between first (T1) and third trimester (T3); gestational diabetes mellitus (GDM) and non-gestational diabetes mellitus (NGDM); and also within a different category of Body Mass Index (BMI) of selected pregnant Malaysian women. METHODS: A prospective observational study on selected 38 pregnant Malaysian women attending a tertiary medical centre was carried out. Those with preexisting diabetes, metabolic syndrome or any other endocrine disorders were excluded. GDM was determined using oral glucose tolerance test (OGTT) while BMI was stratified as underweight, normal, pre-obese and obese. Fecal samples were then collected during the first trimester (T1) and the third trimester (T3). The V3-V4 region of 16S rRNA gene amplicon libraries were sequenced and analyzed using QIIME (version 1.9.1) and METAGENassist. RESULTS: Twelve women (31.6%) were diagnosed as GDM. A trend of lower α-diversity indices in GDM, pre-obese and obese pregnant women were observed. Partial Least Squares Discriminant Analysis (PLS-DA) shows a clustering of gut microbiota according to GDM status and BMI, but not by trimester. Genera Acidaminococcus, Clostridium, Megasphaera and Allisonella were higher, and Barnesiella and Blautia were lower in GDM group (P < 0.005). Obese patients had gut microbiota that was enriched with bacteria of Negativicutes and Proteobacteria class such as Megamonas, Succinatimonas and Dialister (P < 0.005). The normal and mild underweight profiles on the other hand had a higher bacteria from the class of Clostridia (Papillibacter, Oscillibacter, Oscillospira, Blautia, Dorea) and Bacteroidia (Alistipes, Prevotella, Paraprevotella) (P < 0.005). CONCLUSION: The prevalence and variation of several key bacteria from classes of Negativicutes, Clostridia and Proteobacteria has potential metabolic links with GDM and body weight during pregnancy which require further functional validation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-04472-x.
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spelling pubmed-88765532022-02-28 Gut microbiota in pregnant Malaysian women: a comparison between trimesters, body mass index and gestational diabetes status Abdullah, Bahiyah Daud, Suzanna Aazmi, Mohd Shafiq Idorus, Mohd Yusri Mahamooth, Mas Irfan Jaya BMC Pregnancy Childbirth Research BACKGROUND: The primary purpose of the study is to determine the variation of gut microbiota composition between first (T1) and third trimester (T3); gestational diabetes mellitus (GDM) and non-gestational diabetes mellitus (NGDM); and also within a different category of Body Mass Index (BMI) of selected pregnant Malaysian women. METHODS: A prospective observational study on selected 38 pregnant Malaysian women attending a tertiary medical centre was carried out. Those with preexisting diabetes, metabolic syndrome or any other endocrine disorders were excluded. GDM was determined using oral glucose tolerance test (OGTT) while BMI was stratified as underweight, normal, pre-obese and obese. Fecal samples were then collected during the first trimester (T1) and the third trimester (T3). The V3-V4 region of 16S rRNA gene amplicon libraries were sequenced and analyzed using QIIME (version 1.9.1) and METAGENassist. RESULTS: Twelve women (31.6%) were diagnosed as GDM. A trend of lower α-diversity indices in GDM, pre-obese and obese pregnant women were observed. Partial Least Squares Discriminant Analysis (PLS-DA) shows a clustering of gut microbiota according to GDM status and BMI, but not by trimester. Genera Acidaminococcus, Clostridium, Megasphaera and Allisonella were higher, and Barnesiella and Blautia were lower in GDM group (P < 0.005). Obese patients had gut microbiota that was enriched with bacteria of Negativicutes and Proteobacteria class such as Megamonas, Succinatimonas and Dialister (P < 0.005). The normal and mild underweight profiles on the other hand had a higher bacteria from the class of Clostridia (Papillibacter, Oscillibacter, Oscillospira, Blautia, Dorea) and Bacteroidia (Alistipes, Prevotella, Paraprevotella) (P < 0.005). CONCLUSION: The prevalence and variation of several key bacteria from classes of Negativicutes, Clostridia and Proteobacteria has potential metabolic links with GDM and body weight during pregnancy which require further functional validation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-04472-x. BioMed Central 2022-02-24 /pmc/articles/PMC8876553/ /pubmed/35209853 http://dx.doi.org/10.1186/s12884-022-04472-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Abdullah, Bahiyah
Daud, Suzanna
Aazmi, Mohd Shafiq
Idorus, Mohd Yusri
Mahamooth, Mas Irfan Jaya
Gut microbiota in pregnant Malaysian women: a comparison between trimesters, body mass index and gestational diabetes status
title Gut microbiota in pregnant Malaysian women: a comparison between trimesters, body mass index and gestational diabetes status
title_full Gut microbiota in pregnant Malaysian women: a comparison between trimesters, body mass index and gestational diabetes status
title_fullStr Gut microbiota in pregnant Malaysian women: a comparison between trimesters, body mass index and gestational diabetes status
title_full_unstemmed Gut microbiota in pregnant Malaysian women: a comparison between trimesters, body mass index and gestational diabetes status
title_short Gut microbiota in pregnant Malaysian women: a comparison between trimesters, body mass index and gestational diabetes status
title_sort gut microbiota in pregnant malaysian women: a comparison between trimesters, body mass index and gestational diabetes status
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876553/
https://www.ncbi.nlm.nih.gov/pubmed/35209853
http://dx.doi.org/10.1186/s12884-022-04472-x
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