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Gut microbiota composition can reflect immune responses of latent tuberculosis infection in patients with poorly controlled diabetes
BACKGROUND: Diabetes mellitus (DM) is a major risk factor for tuberculosis (TB). Evidence has linked the DM-related dysbiosis of gut microbiota to modifiable host immunity to Mycobacterium tuberculosis infection. However, the crosslinks between gut microbiota composition and immunological effects on...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835344/ https://www.ncbi.nlm.nih.gov/pubmed/36631857 http://dx.doi.org/10.1186/s12931-023-02312-w |
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author | Huang, Hung-Ling Luo, Yong-Chun Lu, Po-Liang Huang, Cheng-Hsieh Lin, Kun-Der Lee, Meng-Rui Cheng, Meng-Hsuan Yeh, Yao-Tsung Kao, Cheng-Yuan Wang, Jann-Yuan Yang, Jinn-Moon Chong, Inn-Wen |
author_facet | Huang, Hung-Ling Luo, Yong-Chun Lu, Po-Liang Huang, Cheng-Hsieh Lin, Kun-Der Lee, Meng-Rui Cheng, Meng-Hsuan Yeh, Yao-Tsung Kao, Cheng-Yuan Wang, Jann-Yuan Yang, Jinn-Moon Chong, Inn-Wen |
author_sort | Huang, Hung-Ling |
collection | PubMed |
description | BACKGROUND: Diabetes mellitus (DM) is a major risk factor for tuberculosis (TB). Evidence has linked the DM-related dysbiosis of gut microbiota to modifiable host immunity to Mycobacterium tuberculosis infection. However, the crosslinks between gut microbiota composition and immunological effects on the development of latent TB infection (LTBI) in DM patients remain uncertain. METHODS: We prospectively obtained stool, blood samples, and medical records from 130 patients with poorly-controlled DM (pDM), defined as ever having an HbA1c > 9.0% within previous 1 year. Among them, 43 had LTBI, as determined by QuantiFERON-TB Gold in-Tube assay. The differences in the taxonomic diversity of gut microbiota between LTBI and non-LTBI groups were investigated using 16S ribosomal RNA sequencing, and a predictive algorithm was established using a random forest model. Serum cytokine levels were measured to determine their correlations with gut microbiota. RESULTS: Compared with non-LTBI group, the microbiota in LTBI group displayed a similar alpha-diversity but different beta-diversity, featuring decrease of Prevotella_9, Streptococcus, and Actinomyces and increase of Bacteroides, Alistipes, and Blautia at the genus level. The accuracy was 0.872 for the LTBI prediction model using the aforementioned 6 microbiome-based biomarkers. Compared with the non-LTBI group, the LTBI group had a significantly lower serum levels of IL-17F (p = 0.025) and TNF-α (p = 0.038), which were correlated with the abundance of the aforementioned 6 taxa. CONCLUSIONS: The study results suggest that gut microbiome composition maybe associated with host immunity relevant to TB status, and gut microbial signature might be helpful for the diagnosis of LTBI. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-023-02312-w. |
format | Online Article Text |
id | pubmed-9835344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98353442023-01-13 Gut microbiota composition can reflect immune responses of latent tuberculosis infection in patients with poorly controlled diabetes Huang, Hung-Ling Luo, Yong-Chun Lu, Po-Liang Huang, Cheng-Hsieh Lin, Kun-Der Lee, Meng-Rui Cheng, Meng-Hsuan Yeh, Yao-Tsung Kao, Cheng-Yuan Wang, Jann-Yuan Yang, Jinn-Moon Chong, Inn-Wen Respir Res Research BACKGROUND: Diabetes mellitus (DM) is a major risk factor for tuberculosis (TB). Evidence has linked the DM-related dysbiosis of gut microbiota to modifiable host immunity to Mycobacterium tuberculosis infection. However, the crosslinks between gut microbiota composition and immunological effects on the development of latent TB infection (LTBI) in DM patients remain uncertain. METHODS: We prospectively obtained stool, blood samples, and medical records from 130 patients with poorly-controlled DM (pDM), defined as ever having an HbA1c > 9.0% within previous 1 year. Among them, 43 had LTBI, as determined by QuantiFERON-TB Gold in-Tube assay. The differences in the taxonomic diversity of gut microbiota between LTBI and non-LTBI groups were investigated using 16S ribosomal RNA sequencing, and a predictive algorithm was established using a random forest model. Serum cytokine levels were measured to determine their correlations with gut microbiota. RESULTS: Compared with non-LTBI group, the microbiota in LTBI group displayed a similar alpha-diversity but different beta-diversity, featuring decrease of Prevotella_9, Streptococcus, and Actinomyces and increase of Bacteroides, Alistipes, and Blautia at the genus level. The accuracy was 0.872 for the LTBI prediction model using the aforementioned 6 microbiome-based biomarkers. Compared with the non-LTBI group, the LTBI group had a significantly lower serum levels of IL-17F (p = 0.025) and TNF-α (p = 0.038), which were correlated with the abundance of the aforementioned 6 taxa. CONCLUSIONS: The study results suggest that gut microbiome composition maybe associated with host immunity relevant to TB status, and gut microbial signature might be helpful for the diagnosis of LTBI. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-023-02312-w. BioMed Central 2023-01-11 2023 /pmc/articles/PMC9835344/ /pubmed/36631857 http://dx.doi.org/10.1186/s12931-023-02312-w Text en © The Author(s) 2023 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 Huang, Hung-Ling Luo, Yong-Chun Lu, Po-Liang Huang, Cheng-Hsieh Lin, Kun-Der Lee, Meng-Rui Cheng, Meng-Hsuan Yeh, Yao-Tsung Kao, Cheng-Yuan Wang, Jann-Yuan Yang, Jinn-Moon Chong, Inn-Wen Gut microbiota composition can reflect immune responses of latent tuberculosis infection in patients with poorly controlled diabetes |
title | Gut microbiota composition can reflect immune responses of latent tuberculosis infection in patients with poorly controlled diabetes |
title_full | Gut microbiota composition can reflect immune responses of latent tuberculosis infection in patients with poorly controlled diabetes |
title_fullStr | Gut microbiota composition can reflect immune responses of latent tuberculosis infection in patients with poorly controlled diabetes |
title_full_unstemmed | Gut microbiota composition can reflect immune responses of latent tuberculosis infection in patients with poorly controlled diabetes |
title_short | Gut microbiota composition can reflect immune responses of latent tuberculosis infection in patients with poorly controlled diabetes |
title_sort | gut microbiota composition can reflect immune responses of latent tuberculosis infection in patients with poorly controlled diabetes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835344/ https://www.ncbi.nlm.nih.gov/pubmed/36631857 http://dx.doi.org/10.1186/s12931-023-02312-w |
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