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MicroRNAs as diagnostic biomarkers for Tuberculosis: A systematic review and meta- analysis
BACKGROUND: The early diagnosis of tuberculosis using novel non-sputum-based biomarkers is of high priority in the End TB strategy. MicroRNAs (miRNAs) are significant regulators of TB pathogenesis and their differential expression pattern among healthy, latent, and active TB population has revealed...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551313/ https://www.ncbi.nlm.nih.gov/pubmed/36238288 http://dx.doi.org/10.3389/fimmu.2022.954396 |
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author | Daniel, Evangeline Ann Sathiyamani, Balakumaran Thiruvengadam, Kannan Vivekanandan, Sandhya Vembuli, Hemanathan Hanna, Luke Elizabeth |
author_facet | Daniel, Evangeline Ann Sathiyamani, Balakumaran Thiruvengadam, Kannan Vivekanandan, Sandhya Vembuli, Hemanathan Hanna, Luke Elizabeth |
author_sort | Daniel, Evangeline Ann |
collection | PubMed |
description | BACKGROUND: The early diagnosis of tuberculosis using novel non-sputum-based biomarkers is of high priority in the End TB strategy. MicroRNAs (miRNAs) are significant regulators of TB pathogenesis and their differential expression pattern among healthy, latent, and active TB population has revealed their potentiality as biomarkers in recent studies. Thus, we systematically reviewed and performed a meta-analysis on the role of host miRNAs in TB diagnosis. We also reviewed the involvement of miRNAs in the immune response to Mycobacterium tuberculosis (Mtb). METHODS: Pubmed, Ovid and Cochrane databases were searched to retrieve published literature from 2000 to 2020 using predefined keywords. We screened relevant studies based on inclusion and exclusion criteria and the included studies were assessed for their quality using STARD guidelines and QUADAS-2 tool. Funnel plots were constructed to assess the publication bias. The heterogeneity of studies and overall pooled results of sensitivity, specificity and DOR were determined using forest plots. RESULTS: We retrieved a total of 447 studies collectively from all the databases, out of which 21 studies were included for qualitative analysis. In these studies, miR-29, miR-31, miR-125b, miR146a and miR-155 were consistently reported. The overall sensitivity, specificity and DOR of these miRNAs were found to be 87.9% (81.7-92.2), 81.2% (74.5-86.5) and 43.1(20.3-91.3) respectively. Among these, miR-31 had the maximum diagnostic accuracy, with a sensitivity of 96% (89.7-98.5), specificity of 89% (81.2-93.8) and DOR of 345.9 (90.2-1326.3), meeting the minimal target product profile (TPP) for TB diagnostics. CONCLUSION: miRNAs can thus be exploited as potential biomarkers for rapid detection of tuberculosis as evident from their diagnostic performance. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021226559 PROSPERO (CRD42021226559). |
format | Online Article Text |
id | pubmed-9551313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95513132022-10-12 MicroRNAs as diagnostic biomarkers for Tuberculosis: A systematic review and meta- analysis Daniel, Evangeline Ann Sathiyamani, Balakumaran Thiruvengadam, Kannan Vivekanandan, Sandhya Vembuli, Hemanathan Hanna, Luke Elizabeth Front Immunol Immunology BACKGROUND: The early diagnosis of tuberculosis using novel non-sputum-based biomarkers is of high priority in the End TB strategy. MicroRNAs (miRNAs) are significant regulators of TB pathogenesis and their differential expression pattern among healthy, latent, and active TB population has revealed their potentiality as biomarkers in recent studies. Thus, we systematically reviewed and performed a meta-analysis on the role of host miRNAs in TB diagnosis. We also reviewed the involvement of miRNAs in the immune response to Mycobacterium tuberculosis (Mtb). METHODS: Pubmed, Ovid and Cochrane databases were searched to retrieve published literature from 2000 to 2020 using predefined keywords. We screened relevant studies based on inclusion and exclusion criteria and the included studies were assessed for their quality using STARD guidelines and QUADAS-2 tool. Funnel plots were constructed to assess the publication bias. The heterogeneity of studies and overall pooled results of sensitivity, specificity and DOR were determined using forest plots. RESULTS: We retrieved a total of 447 studies collectively from all the databases, out of which 21 studies were included for qualitative analysis. In these studies, miR-29, miR-31, miR-125b, miR146a and miR-155 were consistently reported. The overall sensitivity, specificity and DOR of these miRNAs were found to be 87.9% (81.7-92.2), 81.2% (74.5-86.5) and 43.1(20.3-91.3) respectively. Among these, miR-31 had the maximum diagnostic accuracy, with a sensitivity of 96% (89.7-98.5), specificity of 89% (81.2-93.8) and DOR of 345.9 (90.2-1326.3), meeting the minimal target product profile (TPP) for TB diagnostics. CONCLUSION: miRNAs can thus be exploited as potential biomarkers for rapid detection of tuberculosis as evident from their diagnostic performance. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021226559 PROSPERO (CRD42021226559). Frontiers Media S.A. 2022-09-27 /pmc/articles/PMC9551313/ /pubmed/36238288 http://dx.doi.org/10.3389/fimmu.2022.954396 Text en Copyright © 2022 Daniel, Sathiyamani, Thiruvengadam, Vivekanandan, Vembuli and Hanna https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Daniel, Evangeline Ann Sathiyamani, Balakumaran Thiruvengadam, Kannan Vivekanandan, Sandhya Vembuli, Hemanathan Hanna, Luke Elizabeth MicroRNAs as diagnostic biomarkers for Tuberculosis: A systematic review and meta- analysis |
title | MicroRNAs as diagnostic biomarkers for Tuberculosis: A systematic review and meta- analysis |
title_full | MicroRNAs as diagnostic biomarkers for Tuberculosis: A systematic review and meta- analysis |
title_fullStr | MicroRNAs as diagnostic biomarkers for Tuberculosis: A systematic review and meta- analysis |
title_full_unstemmed | MicroRNAs as diagnostic biomarkers for Tuberculosis: A systematic review and meta- analysis |
title_short | MicroRNAs as diagnostic biomarkers for Tuberculosis: A systematic review and meta- analysis |
title_sort | micrornas as diagnostic biomarkers for tuberculosis: a systematic review and meta- analysis |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551313/ https://www.ncbi.nlm.nih.gov/pubmed/36238288 http://dx.doi.org/10.3389/fimmu.2022.954396 |
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