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Macrophage migration inhibitory factor-794 CATT microsatellite polymorphism and risk of tuberculosis: a meta-analysis
Tuberculosis (TB) is a chronic infectious disease that has been threatening public health for many years. Several studies have shown the relationship between the macrophage migration inhibitory factor (MIF)-794 CATT (MIF-794 CATT) microsatellite polymorphism and susceptibility to TB. However, the re...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Portland Press Ltd.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435566/ https://www.ncbi.nlm.nih.gov/pubmed/29773680 http://dx.doi.org/10.1042/BSR20171626 |
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author | Ma, Mingbiao Tao, Lvyan Liu, Aihua Liang, Zhang Yang, Jiaru Peng, Yun Dai, Xiting Bai, Ruolan Ji, Zhenhua Jian, Miaomiao Bao, Fukai |
author_facet | Ma, Mingbiao Tao, Lvyan Liu, Aihua Liang, Zhang Yang, Jiaru Peng, Yun Dai, Xiting Bai, Ruolan Ji, Zhenhua Jian, Miaomiao Bao, Fukai |
author_sort | Ma, Mingbiao |
collection | PubMed |
description | Tuberculosis (TB) is a chronic infectious disease that has been threatening public health for many years. Several studies have shown the relationship between the macrophage migration inhibitory factor (MIF)-794 CATT (MIF-794 CATT) microsatellite polymorphism and susceptibility to TB. However, the results remain inconclusive. Therefore, we aim to find out the impact of MIF-794 CATT microsatellite polymorphism on risk of TB by a comprehensive meta-analysis. We conducted a systematic study search in PubMed, Embase, the Cochrane Library, and the China National Knowledge Infrastructure (CNKI) up to October 2017. Five studies involving 836 cases and 678 controls were included in the current meta-analysis. We calculated the pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) to estimate the association between the MIF-794 CATT microsatellite polymorphism and risk of TB. The reliability of the results were evaluated with trial sequential analysis (TSA). The results suggested that the MIF-794 CATT microsatellite polymorphism was significantly associated with the susceptibility of TB in all comparisons for allele (7 + 8 compared with 5 + 6, OR = 1.56, 95% CI = 1.31–1.87, P<0.00001) and genotype (7/X + 8/X compared with 5/X + 6/X, OR = 1.81, 95% CI = 1.39–2.36, P<0.0001). Therefore, the meta-analysis indicated the MIF-794 allele CATT(7) and CATT(8) may be a risk factor to increase the susceptibility of TB, which was confirmed by TSA. |
format | Online Article Text |
id | pubmed-6435566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Portland Press Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64355662019-04-12 Macrophage migration inhibitory factor-794 CATT microsatellite polymorphism and risk of tuberculosis: a meta-analysis Ma, Mingbiao Tao, Lvyan Liu, Aihua Liang, Zhang Yang, Jiaru Peng, Yun Dai, Xiting Bai, Ruolan Ji, Zhenhua Jian, Miaomiao Bao, Fukai Biosci Rep Research Articles Tuberculosis (TB) is a chronic infectious disease that has been threatening public health for many years. Several studies have shown the relationship between the macrophage migration inhibitory factor (MIF)-794 CATT (MIF-794 CATT) microsatellite polymorphism and susceptibility to TB. However, the results remain inconclusive. Therefore, we aim to find out the impact of MIF-794 CATT microsatellite polymorphism on risk of TB by a comprehensive meta-analysis. We conducted a systematic study search in PubMed, Embase, the Cochrane Library, and the China National Knowledge Infrastructure (CNKI) up to October 2017. Five studies involving 836 cases and 678 controls were included in the current meta-analysis. We calculated the pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) to estimate the association between the MIF-794 CATT microsatellite polymorphism and risk of TB. The reliability of the results were evaluated with trial sequential analysis (TSA). The results suggested that the MIF-794 CATT microsatellite polymorphism was significantly associated with the susceptibility of TB in all comparisons for allele (7 + 8 compared with 5 + 6, OR = 1.56, 95% CI = 1.31–1.87, P<0.00001) and genotype (7/X + 8/X compared with 5/X + 6/X, OR = 1.81, 95% CI = 1.39–2.36, P<0.0001). Therefore, the meta-analysis indicated the MIF-794 allele CATT(7) and CATT(8) may be a risk factor to increase the susceptibility of TB, which was confirmed by TSA. Portland Press Ltd. 2018-07-06 /pmc/articles/PMC6435566/ /pubmed/29773680 http://dx.doi.org/10.1042/BSR20171626 Text en © 2018 The Author(s). http://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Articles Ma, Mingbiao Tao, Lvyan Liu, Aihua Liang, Zhang Yang, Jiaru Peng, Yun Dai, Xiting Bai, Ruolan Ji, Zhenhua Jian, Miaomiao Bao, Fukai Macrophage migration inhibitory factor-794 CATT microsatellite polymorphism and risk of tuberculosis: a meta-analysis |
title | Macrophage migration inhibitory factor-794 CATT microsatellite polymorphism and risk of tuberculosis: a meta-analysis |
title_full | Macrophage migration inhibitory factor-794 CATT microsatellite polymorphism and risk of tuberculosis: a meta-analysis |
title_fullStr | Macrophage migration inhibitory factor-794 CATT microsatellite polymorphism and risk of tuberculosis: a meta-analysis |
title_full_unstemmed | Macrophage migration inhibitory factor-794 CATT microsatellite polymorphism and risk of tuberculosis: a meta-analysis |
title_short | Macrophage migration inhibitory factor-794 CATT microsatellite polymorphism and risk of tuberculosis: a meta-analysis |
title_sort | macrophage migration inhibitory factor-794 catt microsatellite polymorphism and risk of tuberculosis: a meta-analysis |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435566/ https://www.ncbi.nlm.nih.gov/pubmed/29773680 http://dx.doi.org/10.1042/BSR20171626 |
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