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Individualized network analysis reveals a link between the gut microbiome, diet intervention and Gestational Diabetes Mellitus
Gestational Diabetes Mellitus (GDM), a serious complication during pregnancy which is defined by abnormal glucose regulation, is commonly treated by diabetic diet and lifestyle changes. While recent findings place the microbiome as a natural mediator between diet interventions and diverse disease st...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337958/ https://www.ncbi.nlm.nih.gov/pubmed/37384793 http://dx.doi.org/10.1371/journal.pcbi.1011193 |
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author | Liu, Yimeng Amit, Guy Zhao, Xiaolei Wu, Na Li, Daqing Bashan, Amir |
author_facet | Liu, Yimeng Amit, Guy Zhao, Xiaolei Wu, Na Li, Daqing Bashan, Amir |
author_sort | Liu, Yimeng |
collection | PubMed |
description | Gestational Diabetes Mellitus (GDM), a serious complication during pregnancy which is defined by abnormal glucose regulation, is commonly treated by diabetic diet and lifestyle changes. While recent findings place the microbiome as a natural mediator between diet interventions and diverse disease states, its role in GDM is still unknown. Here, based on observation data from healthy pregnant control group and GDM patients, we developed a new network approach using patterns of co-abundance of microorganism to construct microbial networks that represent human-specific information about gut microbiota in different groups. By calculating network similarity in different groups, we analyze the gut microbiome from 27 GDM subjects collected before and after two weeks of diet therapy compared with 30 control subjects to identify the health condition of microbial community balance in GDM subjects. Although the microbial communities remain similar after the diet phase, we find that the structure of their inter-species co-abundance network is significantly altered, which is reflected in that the ecological balance of GDM patients was not "healthier" after the diet intervention. In addition, we devised a method for individualized network analysis of the microbiome, thereby a pattern is found that GDM individuals whose microbial networks are with large deviations from the GDM group are usually accompanied by their abnormal glucose regulation. This approach may help the development of individualized diagnosis strategies and microbiome-based therapies in the future. |
format | Online Article Text |
id | pubmed-10337958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-103379582023-07-13 Individualized network analysis reveals a link between the gut microbiome, diet intervention and Gestational Diabetes Mellitus Liu, Yimeng Amit, Guy Zhao, Xiaolei Wu, Na Li, Daqing Bashan, Amir PLoS Comput Biol Research Article Gestational Diabetes Mellitus (GDM), a serious complication during pregnancy which is defined by abnormal glucose regulation, is commonly treated by diabetic diet and lifestyle changes. While recent findings place the microbiome as a natural mediator between diet interventions and diverse disease states, its role in GDM is still unknown. Here, based on observation data from healthy pregnant control group and GDM patients, we developed a new network approach using patterns of co-abundance of microorganism to construct microbial networks that represent human-specific information about gut microbiota in different groups. By calculating network similarity in different groups, we analyze the gut microbiome from 27 GDM subjects collected before and after two weeks of diet therapy compared with 30 control subjects to identify the health condition of microbial community balance in GDM subjects. Although the microbial communities remain similar after the diet phase, we find that the structure of their inter-species co-abundance network is significantly altered, which is reflected in that the ecological balance of GDM patients was not "healthier" after the diet intervention. In addition, we devised a method for individualized network analysis of the microbiome, thereby a pattern is found that GDM individuals whose microbial networks are with large deviations from the GDM group are usually accompanied by their abnormal glucose regulation. This approach may help the development of individualized diagnosis strategies and microbiome-based therapies in the future. Public Library of Science 2023-06-29 /pmc/articles/PMC10337958/ /pubmed/37384793 http://dx.doi.org/10.1371/journal.pcbi.1011193 Text en © 2023 Liu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Liu, Yimeng Amit, Guy Zhao, Xiaolei Wu, Na Li, Daqing Bashan, Amir Individualized network analysis reveals a link between the gut microbiome, diet intervention and Gestational Diabetes Mellitus |
title | Individualized network analysis reveals a link between the gut microbiome, diet intervention and Gestational Diabetes Mellitus |
title_full | Individualized network analysis reveals a link between the gut microbiome, diet intervention and Gestational Diabetes Mellitus |
title_fullStr | Individualized network analysis reveals a link between the gut microbiome, diet intervention and Gestational Diabetes Mellitus |
title_full_unstemmed | Individualized network analysis reveals a link between the gut microbiome, diet intervention and Gestational Diabetes Mellitus |
title_short | Individualized network analysis reveals a link between the gut microbiome, diet intervention and Gestational Diabetes Mellitus |
title_sort | individualized network analysis reveals a link between the gut microbiome, diet intervention and gestational diabetes mellitus |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337958/ https://www.ncbi.nlm.nih.gov/pubmed/37384793 http://dx.doi.org/10.1371/journal.pcbi.1011193 |
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