Cargando…
Integrative metagenomic and metabolomic analyses reveal gut microbiota-derived multiple hits connected to development of gestational diabetes mellitus in humans
Gestational diabetes mellitus (GDM) is characterized by the development of hyperglycemia and insulin resistance during the second or third trimester of pregnancy, associated with considerable risks to both the mother and developing fetus. Although emerging evidence suggests an association between th...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794004/ https://www.ncbi.nlm.nih.gov/pubmed/36550785 http://dx.doi.org/10.1080/19490976.2022.2154552 |
_version_ | 1784859944558788608 |
---|---|
author | Ye, Dewei Huang, Jiating Wu, Jiaming Xie, Kang Gao, Xiang Yan, Kaixuan Zhang, Pengfei Tao, Ying Li, Yun Zang, Shufei Rong, Xianglu Li, Jun Guo, Jiao |
author_facet | Ye, Dewei Huang, Jiating Wu, Jiaming Xie, Kang Gao, Xiang Yan, Kaixuan Zhang, Pengfei Tao, Ying Li, Yun Zang, Shufei Rong, Xianglu Li, Jun Guo, Jiao |
author_sort | Ye, Dewei |
collection | PubMed |
description | Gestational diabetes mellitus (GDM) is characterized by the development of hyperglycemia and insulin resistance during the second or third trimester of pregnancy, associated with considerable risks to both the mother and developing fetus. Although emerging evidence suggests an association between the altered gut microbiota and GDM, remarkably little is known about the microbial and metabolic mechanisms that link the dysbiosis of the gut microbiota to the development of GDM. In this study, a metagenome-wide association study and serum metabolomics profiling were performed in a cohort of pregnant women with GDM and pregnant women with normal glucose tolerance (NGT). We identified gut microbial alterations associated with GDM and linked to the changes in circulating metabolites. Blood metabolite profiles revealed that GDM patients exhibited a marked increase in 2-hydroxybutyric acid and L-alpha-aminobutyric acid, but a decrease in methionine sulfoxide, allantoin, and dopamine and dopaminergic synapse, when compared with those in NGT controls. Short-chain fatty acid-producing genera, including Faecalibacterium, Prevotella, and Streptococcus, and species Bacteroides coprophilus, Eubacterium siraeum, Faecalibacterium prausnitzii, Prevotella copri, and Prevotella stercorea, were significantly reduced in GDM patients relative to those in NGT controls. Bacterial co-occurrence network analysis revealed that pro-inflammatory bacteria were over-represented as the core species in GDM patients. These microbial and metabolic signatures are closely associated with clinical parameters of glucose metabolism in GDM patients and NGT controls. In conclusion, we identified circulating dopamine insufficiency, imbalanced production of SCFAs, and excessive metabolic inflammation as gut microbiota-driven multiple parallel hits linked to GDM development. This work might explain in part the mechanistic link between altered gut microbiota and GDM pathogenesis, and suggest that gut microbiota may serve as a promising target to intervene in GDM. |
format | Online Article Text |
id | pubmed-9794004 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-97940042022-12-28 Integrative metagenomic and metabolomic analyses reveal gut microbiota-derived multiple hits connected to development of gestational diabetes mellitus in humans Ye, Dewei Huang, Jiating Wu, Jiaming Xie, Kang Gao, Xiang Yan, Kaixuan Zhang, Pengfei Tao, Ying Li, Yun Zang, Shufei Rong, Xianglu Li, Jun Guo, Jiao Gut Microbes Research Paper Gestational diabetes mellitus (GDM) is characterized by the development of hyperglycemia and insulin resistance during the second or third trimester of pregnancy, associated with considerable risks to both the mother and developing fetus. Although emerging evidence suggests an association between the altered gut microbiota and GDM, remarkably little is known about the microbial and metabolic mechanisms that link the dysbiosis of the gut microbiota to the development of GDM. In this study, a metagenome-wide association study and serum metabolomics profiling were performed in a cohort of pregnant women with GDM and pregnant women with normal glucose tolerance (NGT). We identified gut microbial alterations associated with GDM and linked to the changes in circulating metabolites. Blood metabolite profiles revealed that GDM patients exhibited a marked increase in 2-hydroxybutyric acid and L-alpha-aminobutyric acid, but a decrease in methionine sulfoxide, allantoin, and dopamine and dopaminergic synapse, when compared with those in NGT controls. Short-chain fatty acid-producing genera, including Faecalibacterium, Prevotella, and Streptococcus, and species Bacteroides coprophilus, Eubacterium siraeum, Faecalibacterium prausnitzii, Prevotella copri, and Prevotella stercorea, were significantly reduced in GDM patients relative to those in NGT controls. Bacterial co-occurrence network analysis revealed that pro-inflammatory bacteria were over-represented as the core species in GDM patients. These microbial and metabolic signatures are closely associated with clinical parameters of glucose metabolism in GDM patients and NGT controls. In conclusion, we identified circulating dopamine insufficiency, imbalanced production of SCFAs, and excessive metabolic inflammation as gut microbiota-driven multiple parallel hits linked to GDM development. This work might explain in part the mechanistic link between altered gut microbiota and GDM pathogenesis, and suggest that gut microbiota may serve as a promising target to intervene in GDM. Taylor & Francis 2022-12-22 /pmc/articles/PMC9794004/ /pubmed/36550785 http://dx.doi.org/10.1080/19490976.2022.2154552 Text en © 2022 The Author(s). Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Ye, Dewei Huang, Jiating Wu, Jiaming Xie, Kang Gao, Xiang Yan, Kaixuan Zhang, Pengfei Tao, Ying Li, Yun Zang, Shufei Rong, Xianglu Li, Jun Guo, Jiao Integrative metagenomic and metabolomic analyses reveal gut microbiota-derived multiple hits connected to development of gestational diabetes mellitus in humans |
title | Integrative metagenomic and metabolomic analyses reveal gut microbiota-derived multiple hits connected to development of gestational diabetes mellitus in humans |
title_full | Integrative metagenomic and metabolomic analyses reveal gut microbiota-derived multiple hits connected to development of gestational diabetes mellitus in humans |
title_fullStr | Integrative metagenomic and metabolomic analyses reveal gut microbiota-derived multiple hits connected to development of gestational diabetes mellitus in humans |
title_full_unstemmed | Integrative metagenomic and metabolomic analyses reveal gut microbiota-derived multiple hits connected to development of gestational diabetes mellitus in humans |
title_short | Integrative metagenomic and metabolomic analyses reveal gut microbiota-derived multiple hits connected to development of gestational diabetes mellitus in humans |
title_sort | integrative metagenomic and metabolomic analyses reveal gut microbiota-derived multiple hits connected to development of gestational diabetes mellitus in humans |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794004/ https://www.ncbi.nlm.nih.gov/pubmed/36550785 http://dx.doi.org/10.1080/19490976.2022.2154552 |
work_keys_str_mv | AT yedewei integrativemetagenomicandmetabolomicanalysesrevealgutmicrobiotaderivedmultiplehitsconnectedtodevelopmentofgestationaldiabetesmellitusinhumans AT huangjiating integrativemetagenomicandmetabolomicanalysesrevealgutmicrobiotaderivedmultiplehitsconnectedtodevelopmentofgestationaldiabetesmellitusinhumans AT wujiaming integrativemetagenomicandmetabolomicanalysesrevealgutmicrobiotaderivedmultiplehitsconnectedtodevelopmentofgestationaldiabetesmellitusinhumans AT xiekang integrativemetagenomicandmetabolomicanalysesrevealgutmicrobiotaderivedmultiplehitsconnectedtodevelopmentofgestationaldiabetesmellitusinhumans AT gaoxiang integrativemetagenomicandmetabolomicanalysesrevealgutmicrobiotaderivedmultiplehitsconnectedtodevelopmentofgestationaldiabetesmellitusinhumans AT yankaixuan integrativemetagenomicandmetabolomicanalysesrevealgutmicrobiotaderivedmultiplehitsconnectedtodevelopmentofgestationaldiabetesmellitusinhumans AT zhangpengfei integrativemetagenomicandmetabolomicanalysesrevealgutmicrobiotaderivedmultiplehitsconnectedtodevelopmentofgestationaldiabetesmellitusinhumans AT taoying integrativemetagenomicandmetabolomicanalysesrevealgutmicrobiotaderivedmultiplehitsconnectedtodevelopmentofgestationaldiabetesmellitusinhumans AT liyun integrativemetagenomicandmetabolomicanalysesrevealgutmicrobiotaderivedmultiplehitsconnectedtodevelopmentofgestationaldiabetesmellitusinhumans AT zangshufei integrativemetagenomicandmetabolomicanalysesrevealgutmicrobiotaderivedmultiplehitsconnectedtodevelopmentofgestationaldiabetesmellitusinhumans AT rongxianglu integrativemetagenomicandmetabolomicanalysesrevealgutmicrobiotaderivedmultiplehitsconnectedtodevelopmentofgestationaldiabetesmellitusinhumans AT lijun integrativemetagenomicandmetabolomicanalysesrevealgutmicrobiotaderivedmultiplehitsconnectedtodevelopmentofgestationaldiabetesmellitusinhumans AT guojiao integrativemetagenomicandmetabolomicanalysesrevealgutmicrobiotaderivedmultiplehitsconnectedtodevelopmentofgestationaldiabetesmellitusinhumans |