Cargando…
Gut microbiota analyses of Saudi populations for type 2 diabetes-related phenotypes reveals significant association
BACKGROUND: Large-scale gut microbiome sequencing has revealed key links between microbiome dysfunction and metabolic diseases such as type 2 diabetes (T2D). To date, these efforts have largely focused on Western populations, with few studies assessing T2D microbiota associations in Middle Eastern c...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746012/ https://www.ncbi.nlm.nih.gov/pubmed/36510121 http://dx.doi.org/10.1186/s12866-022-02714-8 |
_version_ | 1784849273626558464 |
---|---|
author | Al-Muhanna, Fahad A. Dowdell, Alexa K. Al Eleq, Abdulmohsen H. Albaker, Waleed I. Brooks, Andrew W. Al-Sultan, Ali I. Al-Rubaish, Abdullah M. Alkharsah, Khaled R. Sulaiman, Raed M. Al-Quorain, Abdulaziz A. Cyrus, Cyril Alali, Rudaynah A. Vatte, Chittibabu Robinson, Fred L. Zhou, Xin Snyder, Michael P. Almuhanna, Afnan F. Keating, Brendan J. Piening, Brian D. Al-Ali, Amein K. |
author_facet | Al-Muhanna, Fahad A. Dowdell, Alexa K. Al Eleq, Abdulmohsen H. Albaker, Waleed I. Brooks, Andrew W. Al-Sultan, Ali I. Al-Rubaish, Abdullah M. Alkharsah, Khaled R. Sulaiman, Raed M. Al-Quorain, Abdulaziz A. Cyrus, Cyril Alali, Rudaynah A. Vatte, Chittibabu Robinson, Fred L. Zhou, Xin Snyder, Michael P. Almuhanna, Afnan F. Keating, Brendan J. Piening, Brian D. Al-Ali, Amein K. |
author_sort | Al-Muhanna, Fahad A. |
collection | PubMed |
description | BACKGROUND: Large-scale gut microbiome sequencing has revealed key links between microbiome dysfunction and metabolic diseases such as type 2 diabetes (T2D). To date, these efforts have largely focused on Western populations, with few studies assessing T2D microbiota associations in Middle Eastern communities where T2D prevalence is now over 20%. We analyzed the composition of stool 16S rRNA from 461 T2D and 119 non-T2D participants from the Eastern Province of Saudi Arabia. We quantified the abundance of microbial communities to examine any significant differences between subpopulations of samples based on diabetes status and glucose level. RESULTS: In this study we performed the largest microbiome study ever conducted in Saudi Arabia, as well as the first-ever characterization of gut microbiota T2D versus non-T2D in this population. We observed overall positive enrichment within diabetics compared to healthy individuals and amongst diabetic participants; those with high glucose levels exhibited slightly more positive enrichment compared to those at lower risk of fasting hyperglycemia. In particular, the genus Firmicutes was upregulated in diabetic individuals compared to non-diabetic individuals, and T2D was associated with an elevated Firmicutes/Bacteroidetes ratio, consistent with previous findings. CONCLUSION: Based on diabetes status and glucose levels of Saudi participants, relatively stable differences in stool composition were perceived by differential abundance and alpha diversity measures. However, community level differences are evident in the Saudi population between T2D and non-T2D individuals, and diversity patterns appear to vary from well-characterized microbiota from Western cohorts. Comparing overlapping and varying patterns in gut microbiota with other studies is critical to assessing novel treatment options in light of a rapidly growing T2D health epidemic in the region. As a rapidly emerging chronic condition in Saudi Arabia and the Middle East, T2D burdens have grown more quickly and affect larger proportions of the population than any other global region, making a regional reference T2D-microbiome dataset critical to understanding the nuances of disease development on a global scale. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-022-02714-8. |
format | Online Article Text |
id | pubmed-9746012 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97460122022-12-14 Gut microbiota analyses of Saudi populations for type 2 diabetes-related phenotypes reveals significant association Al-Muhanna, Fahad A. Dowdell, Alexa K. Al Eleq, Abdulmohsen H. Albaker, Waleed I. Brooks, Andrew W. Al-Sultan, Ali I. Al-Rubaish, Abdullah M. Alkharsah, Khaled R. Sulaiman, Raed M. Al-Quorain, Abdulaziz A. Cyrus, Cyril Alali, Rudaynah A. Vatte, Chittibabu Robinson, Fred L. Zhou, Xin Snyder, Michael P. Almuhanna, Afnan F. Keating, Brendan J. Piening, Brian D. Al-Ali, Amein K. BMC Microbiol Research Article BACKGROUND: Large-scale gut microbiome sequencing has revealed key links between microbiome dysfunction and metabolic diseases such as type 2 diabetes (T2D). To date, these efforts have largely focused on Western populations, with few studies assessing T2D microbiota associations in Middle Eastern communities where T2D prevalence is now over 20%. We analyzed the composition of stool 16S rRNA from 461 T2D and 119 non-T2D participants from the Eastern Province of Saudi Arabia. We quantified the abundance of microbial communities to examine any significant differences between subpopulations of samples based on diabetes status and glucose level. RESULTS: In this study we performed the largest microbiome study ever conducted in Saudi Arabia, as well as the first-ever characterization of gut microbiota T2D versus non-T2D in this population. We observed overall positive enrichment within diabetics compared to healthy individuals and amongst diabetic participants; those with high glucose levels exhibited slightly more positive enrichment compared to those at lower risk of fasting hyperglycemia. In particular, the genus Firmicutes was upregulated in diabetic individuals compared to non-diabetic individuals, and T2D was associated with an elevated Firmicutes/Bacteroidetes ratio, consistent with previous findings. CONCLUSION: Based on diabetes status and glucose levels of Saudi participants, relatively stable differences in stool composition were perceived by differential abundance and alpha diversity measures. However, community level differences are evident in the Saudi population between T2D and non-T2D individuals, and diversity patterns appear to vary from well-characterized microbiota from Western cohorts. Comparing overlapping and varying patterns in gut microbiota with other studies is critical to assessing novel treatment options in light of a rapidly growing T2D health epidemic in the region. As a rapidly emerging chronic condition in Saudi Arabia and the Middle East, T2D burdens have grown more quickly and affect larger proportions of the population than any other global region, making a regional reference T2D-microbiome dataset critical to understanding the nuances of disease development on a global scale. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-022-02714-8. BioMed Central 2022-12-13 /pmc/articles/PMC9746012/ /pubmed/36510121 http://dx.doi.org/10.1186/s12866-022-02714-8 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 Article Al-Muhanna, Fahad A. Dowdell, Alexa K. Al Eleq, Abdulmohsen H. Albaker, Waleed I. Brooks, Andrew W. Al-Sultan, Ali I. Al-Rubaish, Abdullah M. Alkharsah, Khaled R. Sulaiman, Raed M. Al-Quorain, Abdulaziz A. Cyrus, Cyril Alali, Rudaynah A. Vatte, Chittibabu Robinson, Fred L. Zhou, Xin Snyder, Michael P. Almuhanna, Afnan F. Keating, Brendan J. Piening, Brian D. Al-Ali, Amein K. Gut microbiota analyses of Saudi populations for type 2 diabetes-related phenotypes reveals significant association |
title | Gut microbiota analyses of Saudi populations for type 2 diabetes-related phenotypes reveals significant association |
title_full | Gut microbiota analyses of Saudi populations for type 2 diabetes-related phenotypes reveals significant association |
title_fullStr | Gut microbiota analyses of Saudi populations for type 2 diabetes-related phenotypes reveals significant association |
title_full_unstemmed | Gut microbiota analyses of Saudi populations for type 2 diabetes-related phenotypes reveals significant association |
title_short | Gut microbiota analyses of Saudi populations for type 2 diabetes-related phenotypes reveals significant association |
title_sort | gut microbiota analyses of saudi populations for type 2 diabetes-related phenotypes reveals significant association |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746012/ https://www.ncbi.nlm.nih.gov/pubmed/36510121 http://dx.doi.org/10.1186/s12866-022-02714-8 |
work_keys_str_mv | AT almuhannafahada gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT dowdellalexak gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT aleleqabdulmohsenh gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT albakerwaleedi gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT brooksandreww gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT alsultanalii gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT alrubaishabdullahm gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT alkharsahkhaledr gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT sulaimanraedm gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT alquorainabdulaziza gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT cyruscyril gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT alalirudaynaha gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT vattechittibabu gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT robinsonfredl gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT zhouxin gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT snydermichaelp gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT almuhannaafnanf gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT keatingbrendanj gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT pieningbriand gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation AT alaliameink gutmicrobiotaanalysesofsaudipopulationsfortype2diabetesrelatedphenotypesrevealssignificantassociation |