Cargando…
Discovery of Potential Plasma Biomarkers for Tuberculosis in HIV-Infected Patients by Data-Independent Acquisition-Based Quantitative Proteomics
PURPOSE: Tuberculosis (TB) is the leading cause of mortality in individuals infected with human immunodeficiency virus (HIV), yet the methods for detecting Mycobacterium tuberculosis at an early stage remain insensitive or ineffective. This study aimed to discover plasma biomarkers for distinguishin...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187936/ https://www.ncbi.nlm.nih.gov/pubmed/32425558 http://dx.doi.org/10.2147/IDR.S245460 |
_version_ | 1783527249055580160 |
---|---|
author | Shen, Yinzhong Xun, Jingna Song, Wei Wang, Zhenyan Wang, Jiangrong Liu, Li Zhang, Renfang Qi, Tangkai Tang, Yang Chen, Jun Sun, Jianjun Lu, Hongzhou |
author_facet | Shen, Yinzhong Xun, Jingna Song, Wei Wang, Zhenyan Wang, Jiangrong Liu, Li Zhang, Renfang Qi, Tangkai Tang, Yang Chen, Jun Sun, Jianjun Lu, Hongzhou |
author_sort | Shen, Yinzhong |
collection | PubMed |
description | PURPOSE: Tuberculosis (TB) is the leading cause of mortality in individuals infected with human immunodeficiency virus (HIV), yet the methods for detecting Mycobacterium tuberculosis at an early stage remain insensitive or ineffective. This study aimed to discover plasma biomarkers for distinguishing HIV-TB coinfected individuals from HIV individuals without TB (HIV-nonTB). PATIENTS AND METHODS: A total of 200 Chinese HIV-positive patients were recruited, 100 each for HIV-nonTB group and HIV-TB group. Plasma proteomic profiles were analyzed for 50 patients each in both groups, using data-independent acquisition (DIA)-mass spectrometry-based proteomics. Differently expressed proteins were revealed with ridge regression analysis. Enzyme-linked immunosorbent assay (ELISA) analyses were performed for further validation in other 100 patients. RESULTS: DIA-mass spectrometry revealed 13 upregulated and 33 downregulated proteins in the HIV-TB group. AMACR (α-methylacyl-CoA racemase), LDHB (L-lactate dehydrogenase B chain), and RAP1B (Ras-related protein Rap-1b) were selected for building a diagnostic model, for which the receiver operation characteristic curve had under areas of 0.99 and 0.89 testing with proteomics data (sensitivity = 92%, specificity = 100%) and ELISA data (sensitivity = 76%, specificity = 92%), respectively. CONCLUSION: The combination of AMACR, LDHB, and RAP1B proteins may serve as a potential marker of TB in HIV-infected patients. |
format | Online Article Text |
id | pubmed-7187936 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-71879362020-05-18 Discovery of Potential Plasma Biomarkers for Tuberculosis in HIV-Infected Patients by Data-Independent Acquisition-Based Quantitative Proteomics Shen, Yinzhong Xun, Jingna Song, Wei Wang, Zhenyan Wang, Jiangrong Liu, Li Zhang, Renfang Qi, Tangkai Tang, Yang Chen, Jun Sun, Jianjun Lu, Hongzhou Infect Drug Resist Original Research PURPOSE: Tuberculosis (TB) is the leading cause of mortality in individuals infected with human immunodeficiency virus (HIV), yet the methods for detecting Mycobacterium tuberculosis at an early stage remain insensitive or ineffective. This study aimed to discover plasma biomarkers for distinguishing HIV-TB coinfected individuals from HIV individuals without TB (HIV-nonTB). PATIENTS AND METHODS: A total of 200 Chinese HIV-positive patients were recruited, 100 each for HIV-nonTB group and HIV-TB group. Plasma proteomic profiles were analyzed for 50 patients each in both groups, using data-independent acquisition (DIA)-mass spectrometry-based proteomics. Differently expressed proteins were revealed with ridge regression analysis. Enzyme-linked immunosorbent assay (ELISA) analyses were performed for further validation in other 100 patients. RESULTS: DIA-mass spectrometry revealed 13 upregulated and 33 downregulated proteins in the HIV-TB group. AMACR (α-methylacyl-CoA racemase), LDHB (L-lactate dehydrogenase B chain), and RAP1B (Ras-related protein Rap-1b) were selected for building a diagnostic model, for which the receiver operation characteristic curve had under areas of 0.99 and 0.89 testing with proteomics data (sensitivity = 92%, specificity = 100%) and ELISA data (sensitivity = 76%, specificity = 92%), respectively. CONCLUSION: The combination of AMACR, LDHB, and RAP1B proteins may serve as a potential marker of TB in HIV-infected patients. Dove 2020-04-24 /pmc/articles/PMC7187936/ /pubmed/32425558 http://dx.doi.org/10.2147/IDR.S245460 Text en © 2020 Shen et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Shen, Yinzhong Xun, Jingna Song, Wei Wang, Zhenyan Wang, Jiangrong Liu, Li Zhang, Renfang Qi, Tangkai Tang, Yang Chen, Jun Sun, Jianjun Lu, Hongzhou Discovery of Potential Plasma Biomarkers for Tuberculosis in HIV-Infected Patients by Data-Independent Acquisition-Based Quantitative Proteomics |
title | Discovery of Potential Plasma Biomarkers for Tuberculosis in HIV-Infected Patients by Data-Independent Acquisition-Based Quantitative Proteomics |
title_full | Discovery of Potential Plasma Biomarkers for Tuberculosis in HIV-Infected Patients by Data-Independent Acquisition-Based Quantitative Proteomics |
title_fullStr | Discovery of Potential Plasma Biomarkers for Tuberculosis in HIV-Infected Patients by Data-Independent Acquisition-Based Quantitative Proteomics |
title_full_unstemmed | Discovery of Potential Plasma Biomarkers for Tuberculosis in HIV-Infected Patients by Data-Independent Acquisition-Based Quantitative Proteomics |
title_short | Discovery of Potential Plasma Biomarkers for Tuberculosis in HIV-Infected Patients by Data-Independent Acquisition-Based Quantitative Proteomics |
title_sort | discovery of potential plasma biomarkers for tuberculosis in hiv-infected patients by data-independent acquisition-based quantitative proteomics |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187936/ https://www.ncbi.nlm.nih.gov/pubmed/32425558 http://dx.doi.org/10.2147/IDR.S245460 |
work_keys_str_mv | AT shenyinzhong discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT xunjingna discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT songwei discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT wangzhenyan discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT wangjiangrong discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT liuli discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT zhangrenfang discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT qitangkai discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT tangyang discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT chenjun discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT sunjianjun discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT luhongzhou discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics |