Discovery of Potential Plasma Biomarkers for Tuberculosis in HIV-Infected Patients by Data-Independent Acquisition-Based Quantitative Proteomics
Yinzhong Shen, Jingna Xun, Wei Song, Zhenyan Wang, Jiangrong Wang, Li Liu, Renfang Zhang, Tangkai Qi, Yang Tang, Jun Chen, Jianjun Sun, Hongzhou Lu Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, People’s Republic of ChinaCor...
Main Authors: | , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Dove Medical Press
2020-04-01
|
Series: | Infection and Drug Resistance |
Subjects: | |
Online Access: | https://www.dovepress.com/discovery-of-potential-plasma-biomarkers-for-tuberculosis-in-hiv-infec-peer-reviewed-article-IDR |
id |
doaj-e48981718f3a48ed92d98222e15a8d52 |
---|---|
record_format |
Article |
spelling |
doaj-e48981718f3a48ed92d98222e15a8d522020-11-25T02:23:32ZengDove Medical PressInfection and Drug Resistance1178-69732020-04-01Volume 131185119653340Discovery of Potential Plasma Biomarkers for Tuberculosis in HIV-Infected Patients by Data-Independent Acquisition-Based Quantitative ProteomicsShen YXun JSong WWang ZWang JLiu LZhang RQi TTang YChen JSun JLu HYinzhong Shen, Jingna Xun, Wei Song, Zhenyan Wang, Jiangrong Wang, Li Liu, Renfang Zhang, Tangkai Qi, Yang Tang, Jun Chen, Jianjun Sun, Hongzhou Lu Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, People’s Republic of ChinaCorrespondence: Hongzhou Lu Email luhongzhou@fudan.edu.cnPurpose: 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.Keywords: diagnosis, coinfection, AIDS-related opportunistic infections, Mycobacterium tuberculosis, ROC curve, proteomehttps://www.dovepress.com/discovery-of-potential-plasma-biomarkers-for-tuberculosis-in-hiv-infec-peer-reviewed-article-IDRdiagnosiscoinfectionaids-related opportunistic infectionsmycobacterium tuberculosisroc curveproteome |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shen Y Xun J Song W Wang Z Wang J Liu L Zhang R Qi T Tang Y Chen J Sun J Lu H |
spellingShingle |
Shen Y Xun J Song W Wang Z Wang J Liu L Zhang R Qi T Tang Y Chen J Sun J Lu H Discovery of Potential Plasma Biomarkers for Tuberculosis in HIV-Infected Patients by Data-Independent Acquisition-Based Quantitative Proteomics Infection and Drug Resistance diagnosis coinfection aids-related opportunistic infections mycobacterium tuberculosis roc curve proteome |
author_facet |
Shen Y Xun J Song W Wang Z Wang J Liu L Zhang R Qi T Tang Y Chen J Sun J Lu H |
author_sort |
Shen Y |
title |
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_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_sort |
discovery of potential plasma biomarkers for tuberculosis in hiv-infected patients by data-independent acquisition-based quantitative proteomics |
publisher |
Dove Medical Press |
series |
Infection and Drug Resistance |
issn |
1178-6973 |
publishDate |
2020-04-01 |
description |
Yinzhong Shen, Jingna Xun, Wei Song, Zhenyan Wang, Jiangrong Wang, Li Liu, Renfang Zhang, Tangkai Qi, Yang Tang, Jun Chen, Jianjun Sun, Hongzhou Lu Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, People’s Republic of ChinaCorrespondence: Hongzhou Lu Email luhongzhou@fudan.edu.cnPurpose: 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.Keywords: diagnosis, coinfection, AIDS-related opportunistic infections, Mycobacterium tuberculosis, ROC curve, proteome |
topic |
diagnosis coinfection aids-related opportunistic infections mycobacterium tuberculosis roc curve proteome |
url |
https://www.dovepress.com/discovery-of-potential-plasma-biomarkers-for-tuberculosis-in-hiv-infec-peer-reviewed-article-IDR |
work_keys_str_mv |
AT sheny discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT xunj discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT songw discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT wangz discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT wangj discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT liul discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT zhangr discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT qit discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT tangy discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT chenj discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT sunj discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics AT luh discoveryofpotentialplasmabiomarkersfortuberculosisinhivinfectedpatientsbydataindependentacquisitionbasedquantitativeproteomics |
_version_ |
1724859033898188800 |