Cargando…
Identification of Serum microRNA Biomarkers for Tuberculosis Using RNA-seq
Tuberculosis (TB) remains a significant human health issue. More effective biomarkers for use in tuberculosis prevention, diagnosis, and treatment, including markers that can discriminate between healthy individuals and those with latent infection, are urgently needed. To identify a set of such mark...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3930592/ https://www.ncbi.nlm.nih.gov/pubmed/24586438 http://dx.doi.org/10.1371/journal.pone.0088909 |
_version_ | 1782304551638925312 |
---|---|
author | Zhang, Hongtai Sun, Zhaogang Wei, Wenjing Liu, Zhonghui Fleming, Joy Zhang, Shuai Lin, Nan Wang, Ming Chen, Maoshan Xu, Yuhui Zhou, Jie Li, Chuanyou Bi, Lijun Zhou, Guangming |
author_facet | Zhang, Hongtai Sun, Zhaogang Wei, Wenjing Liu, Zhonghui Fleming, Joy Zhang, Shuai Lin, Nan Wang, Ming Chen, Maoshan Xu, Yuhui Zhou, Jie Li, Chuanyou Bi, Lijun Zhou, Guangming |
author_sort | Zhang, Hongtai |
collection | PubMed |
description | Tuberculosis (TB) remains a significant human health issue. More effective biomarkers for use in tuberculosis prevention, diagnosis, and treatment, including markers that can discriminate between healthy individuals and those with latent infection, are urgently needed. To identify a set of such markers, we used Solexa sequencing to examine microRNA expression in the serum of patients with active disease, healthy individuals with latent TB, and those with or without prior BCG inoculation. We identified 24 microRNAs that are up-regulated (2.85–1285.93 fold) and 6 microRNAs that are down-regulated (0.003–0.11 fold) (P<0.05) in patients with active TB relative to the three groups of healthy controls. In addition, 75 microRNAs were up-regulated (2.05–2454.58 fold) and 11 were down-regulated (0.001–0.42 fold) (P<0.05) in latent-TB infected individuals relative to BCG- inoculated individuals. Of interest, 134 microRNAs were differentially-expressed in BCG-inoculated relative to un-inoculated individuals (18 up-regulated 2.9–499.29 fold, 116 down-regulated 0.0002–0.5 fold), providing insights into the effects of BCG inoculation at the microRNA level. Target prediction of differentially-expressed microRNAs by microRNA-Gene Network analysis and analysis of pathways affected suggest that regulation of the host immune system by microRNAs is likely to be one of the main factors in the pathogenesis of tuberculosis. qRT-PCR validation indicated that hsa-miR-196b and hsa-miR-376c have potential as markers for active TB disease. The microRNA differential-expression profiles generated in this study provide a good foundation for the development of markers for TB diagnosis, and for investigations on the role of microRNAs in BCG-inoculated and latent-infected individuals. |
format | Online Article Text |
id | pubmed-3930592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39305922014-02-25 Identification of Serum microRNA Biomarkers for Tuberculosis Using RNA-seq Zhang, Hongtai Sun, Zhaogang Wei, Wenjing Liu, Zhonghui Fleming, Joy Zhang, Shuai Lin, Nan Wang, Ming Chen, Maoshan Xu, Yuhui Zhou, Jie Li, Chuanyou Bi, Lijun Zhou, Guangming PLoS One Research Article Tuberculosis (TB) remains a significant human health issue. More effective biomarkers for use in tuberculosis prevention, diagnosis, and treatment, including markers that can discriminate between healthy individuals and those with latent infection, are urgently needed. To identify a set of such markers, we used Solexa sequencing to examine microRNA expression in the serum of patients with active disease, healthy individuals with latent TB, and those with or without prior BCG inoculation. We identified 24 microRNAs that are up-regulated (2.85–1285.93 fold) and 6 microRNAs that are down-regulated (0.003–0.11 fold) (P<0.05) in patients with active TB relative to the three groups of healthy controls. In addition, 75 microRNAs were up-regulated (2.05–2454.58 fold) and 11 were down-regulated (0.001–0.42 fold) (P<0.05) in latent-TB infected individuals relative to BCG- inoculated individuals. Of interest, 134 microRNAs were differentially-expressed in BCG-inoculated relative to un-inoculated individuals (18 up-regulated 2.9–499.29 fold, 116 down-regulated 0.0002–0.5 fold), providing insights into the effects of BCG inoculation at the microRNA level. Target prediction of differentially-expressed microRNAs by microRNA-Gene Network analysis and analysis of pathways affected suggest that regulation of the host immune system by microRNAs is likely to be one of the main factors in the pathogenesis of tuberculosis. qRT-PCR validation indicated that hsa-miR-196b and hsa-miR-376c have potential as markers for active TB disease. The microRNA differential-expression profiles generated in this study provide a good foundation for the development of markers for TB diagnosis, and for investigations on the role of microRNAs in BCG-inoculated and latent-infected individuals. Public Library of Science 2014-02-20 /pmc/articles/PMC3930592/ /pubmed/24586438 http://dx.doi.org/10.1371/journal.pone.0088909 Text en © 2014 Zhang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Zhang, Hongtai Sun, Zhaogang Wei, Wenjing Liu, Zhonghui Fleming, Joy Zhang, Shuai Lin, Nan Wang, Ming Chen, Maoshan Xu, Yuhui Zhou, Jie Li, Chuanyou Bi, Lijun Zhou, Guangming Identification of Serum microRNA Biomarkers for Tuberculosis Using RNA-seq |
title | Identification of Serum microRNA Biomarkers for Tuberculosis Using RNA-seq |
title_full | Identification of Serum microRNA Biomarkers for Tuberculosis Using RNA-seq |
title_fullStr | Identification of Serum microRNA Biomarkers for Tuberculosis Using RNA-seq |
title_full_unstemmed | Identification of Serum microRNA Biomarkers for Tuberculosis Using RNA-seq |
title_short | Identification of Serum microRNA Biomarkers for Tuberculosis Using RNA-seq |
title_sort | identification of serum microrna biomarkers for tuberculosis using rna-seq |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3930592/ https://www.ncbi.nlm.nih.gov/pubmed/24586438 http://dx.doi.org/10.1371/journal.pone.0088909 |
work_keys_str_mv | AT zhanghongtai identificationofserummicrornabiomarkersfortuberculosisusingrnaseq AT sunzhaogang identificationofserummicrornabiomarkersfortuberculosisusingrnaseq AT weiwenjing identificationofserummicrornabiomarkersfortuberculosisusingrnaseq AT liuzhonghui identificationofserummicrornabiomarkersfortuberculosisusingrnaseq AT flemingjoy identificationofserummicrornabiomarkersfortuberculosisusingrnaseq AT zhangshuai identificationofserummicrornabiomarkersfortuberculosisusingrnaseq AT linnan identificationofserummicrornabiomarkersfortuberculosisusingrnaseq AT wangming identificationofserummicrornabiomarkersfortuberculosisusingrnaseq AT chenmaoshan identificationofserummicrornabiomarkersfortuberculosisusingrnaseq AT xuyuhui identificationofserummicrornabiomarkersfortuberculosisusingrnaseq AT zhoujie identificationofserummicrornabiomarkersfortuberculosisusingrnaseq AT lichuanyou identificationofserummicrornabiomarkersfortuberculosisusingrnaseq AT bilijun identificationofserummicrornabiomarkersfortuberculosisusingrnaseq AT zhouguangming identificationofserummicrornabiomarkersfortuberculosisusingrnaseq |