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Unraveling genetic causality between type 2 diabetes and pulmonary tuberculosis on the basis of Mendelian randomization
BACKGROUND: The comorbidity rate between type 2 diabetes mellitus (T2DM) and pulmonary tuberculosis (PTB) is high and imposes enormous strains on healthcare systems. However, whether T2DM is causally associated with PTB is unknown owing to limited evidence from prospective studies. Consequently, the...
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/PMC10636918/ https://www.ncbi.nlm.nih.gov/pubmed/37950319 http://dx.doi.org/10.1186/s13098-023-01213-8 |
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author | Chen, Shengnan Zhang, Weisong Zheng, Zhenquan Shao, Xiaolong Yang, Peng Yang, Xiaobin Nan, Kai |
author_facet | Chen, Shengnan Zhang, Weisong Zheng, Zhenquan Shao, Xiaolong Yang, Peng Yang, Xiaobin Nan, Kai |
author_sort | Chen, Shengnan |
collection | PubMed |
description | BACKGROUND: The comorbidity rate between type 2 diabetes mellitus (T2DM) and pulmonary tuberculosis (PTB) is high and imposes enormous strains on healthcare systems. However, whether T2DM is causally associated with PTB is unknown owing to limited evidence from prospective studies. Consequently, the present study aimed to clarify the genetic causality between T2DM and PTB on the basis of Mendelian randomization (MR) analysis. METHODS: Genetic variants for T2DM and PTB were obtained from the IEU OpenGWAS project. The inverse variance weighted method was used as the main statistical analysis method and was supplemented with MR-Egger, weighted median, simple mode, and weighted mode methods. Heterogeneity was analyzed using Cochran’s Q statistic. Horizontal pleiotropy was assessed using the MR-PRESSO global test and MR-Egger regression. Robustness of the results was verified using the leave-one-out method. RESULTS: A total of 152 independent single-nucleotide polymorphisms (SNPs) were selected as instrumental variables (IVs) to assess the genetic causality between T2DM and PTB. Patients with T2DM had a higher risk of PTB at the genetic level (odds ratio (OR) for MR-Egger was 1.550, OR for weighted median was 1.540, OR for inverse variance weighted was 1.191, OR for simple mode was 1.629, OR for weighted mode was 1.529). There was no horizontal pleiotropy or heterogeneity among IVs. The results were stable when removing the SNPs one by one. CONCLUSIONS: This is the first comprehensive MR analysis that revealed the genetic causality between T2DM and PTB in the East Asian population. The study provides convincing evidence that individuals with T2DM have a higher risk of developing PTB at the genetic level. This offers a significant basis for joint management of concurrent T2DM and PTB in clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01213-8. |
format | Online Article Text |
id | pubmed-10636918 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106369182023-11-11 Unraveling genetic causality between type 2 diabetes and pulmonary tuberculosis on the basis of Mendelian randomization Chen, Shengnan Zhang, Weisong Zheng, Zhenquan Shao, Xiaolong Yang, Peng Yang, Xiaobin Nan, Kai Diabetol Metab Syndr Research BACKGROUND: The comorbidity rate between type 2 diabetes mellitus (T2DM) and pulmonary tuberculosis (PTB) is high and imposes enormous strains on healthcare systems. However, whether T2DM is causally associated with PTB is unknown owing to limited evidence from prospective studies. Consequently, the present study aimed to clarify the genetic causality between T2DM and PTB on the basis of Mendelian randomization (MR) analysis. METHODS: Genetic variants for T2DM and PTB were obtained from the IEU OpenGWAS project. The inverse variance weighted method was used as the main statistical analysis method and was supplemented with MR-Egger, weighted median, simple mode, and weighted mode methods. Heterogeneity was analyzed using Cochran’s Q statistic. Horizontal pleiotropy was assessed using the MR-PRESSO global test and MR-Egger regression. Robustness of the results was verified using the leave-one-out method. RESULTS: A total of 152 independent single-nucleotide polymorphisms (SNPs) were selected as instrumental variables (IVs) to assess the genetic causality between T2DM and PTB. Patients with T2DM had a higher risk of PTB at the genetic level (odds ratio (OR) for MR-Egger was 1.550, OR for weighted median was 1.540, OR for inverse variance weighted was 1.191, OR for simple mode was 1.629, OR for weighted mode was 1.529). There was no horizontal pleiotropy or heterogeneity among IVs. The results were stable when removing the SNPs one by one. CONCLUSIONS: This is the first comprehensive MR analysis that revealed the genetic causality between T2DM and PTB in the East Asian population. The study provides convincing evidence that individuals with T2DM have a higher risk of developing PTB at the genetic level. This offers a significant basis for joint management of concurrent T2DM and PTB in clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01213-8. BioMed Central 2023-11-10 /pmc/articles/PMC10636918/ /pubmed/37950319 http://dx.doi.org/10.1186/s13098-023-01213-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Chen, Shengnan Zhang, Weisong Zheng, Zhenquan Shao, Xiaolong Yang, Peng Yang, Xiaobin Nan, Kai Unraveling genetic causality between type 2 diabetes and pulmonary tuberculosis on the basis of Mendelian randomization |
title | Unraveling genetic causality between type 2 diabetes and pulmonary tuberculosis on the basis of Mendelian randomization |
title_full | Unraveling genetic causality between type 2 diabetes and pulmonary tuberculosis on the basis of Mendelian randomization |
title_fullStr | Unraveling genetic causality between type 2 diabetes and pulmonary tuberculosis on the basis of Mendelian randomization |
title_full_unstemmed | Unraveling genetic causality between type 2 diabetes and pulmonary tuberculosis on the basis of Mendelian randomization |
title_short | Unraveling genetic causality between type 2 diabetes and pulmonary tuberculosis on the basis of Mendelian randomization |
title_sort | unraveling genetic causality between type 2 diabetes and pulmonary tuberculosis on the basis of mendelian randomization |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636918/ https://www.ncbi.nlm.nih.gov/pubmed/37950319 http://dx.doi.org/10.1186/s13098-023-01213-8 |
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