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Proteomic profiling for plasma biomarkers of tuberculosis progression

Severe pulmonary tuberculosis (STB) is a life-threatening condition with high economic and social burden. The present study aimed to screen for distinct proteins in different stages of TB and identify biomarkers for a better understanding of TB progression and pathogenesis. Blood samples were obtain...

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Autores principales: Liu, Qiuyue, Pan, Liping, Han, Fen, Luo, Baojian, Jia, Hongyan, Xing, Aiying, Li, Qi, Zhang, Zongde
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6072192/
https://www.ncbi.nlm.nih.gov/pubmed/29901122
http://dx.doi.org/10.3892/mmr.2018.9134
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author Liu, Qiuyue
Pan, Liping
Han, Fen
Luo, Baojian
Jia, Hongyan
Xing, Aiying
Li, Qi
Zhang, Zongde
author_facet Liu, Qiuyue
Pan, Liping
Han, Fen
Luo, Baojian
Jia, Hongyan
Xing, Aiying
Li, Qi
Zhang, Zongde
author_sort Liu, Qiuyue
collection PubMed
description Severe pulmonary tuberculosis (STB) is a life-threatening condition with high economic and social burden. The present study aimed to screen for distinct proteins in different stages of TB and identify biomarkers for a better understanding of TB progression and pathogenesis. Blood samples were obtained from 81 patients with STB, 80 with mild TB (MTB) and 50 healthy controls. Differentially expressed proteins were identified using liquid chromatography-tandem mass spectrometry-based label-free quantitative proteomic analysis. Functional and pathway enrichment analyses were performed for the identified proteins. The expression of potential biomarkers was further validated by western blot analysis and enzyme-linked immunosorbent assays. The accuracy, sensitivity and specificity for selected protein biomarkers in diagnosing STB were also evaluated. A total of 1,011 proteins were identified in all three groups, and 153 differentially expressed proteins were identified in patients with STB. These proteins were involved in ‘cellular process’, ‘response to stimulus’, ‘apoptotic process’, ‘immune system process’ and ‘select metabolic process’. Significant differences in protein expression were detected in α-1-acid glycoprotein 2 (ORM2), interleukin-36α (IL-36α), S100 calcium binding protein A9 (S100-A9), superoxide dismutase (SOD)1 in the STB group, compared with the MTB and control groups. The combination of plasma ORM2, IL-36α, S100A9 and SOD1 levels achieved 90.00% sensitivity and 92.16% specificity to discriminate between patients with STB and MTB, and 89.66% sensitivity and 98.9% specificity to discriminate between patients with STB and healthy controls. ORM2, S100A9, IL-36α and SOD1 were associated with the development of TB, and have the potential to distinguish between different stages of TB. Differential protein expression during disease progression may improve the current understanding of STB pathogenesis.
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spelling pubmed-60721922018-08-06 Proteomic profiling for plasma biomarkers of tuberculosis progression Liu, Qiuyue Pan, Liping Han, Fen Luo, Baojian Jia, Hongyan Xing, Aiying Li, Qi Zhang, Zongde Mol Med Rep Articles Severe pulmonary tuberculosis (STB) is a life-threatening condition with high economic and social burden. The present study aimed to screen for distinct proteins in different stages of TB and identify biomarkers for a better understanding of TB progression and pathogenesis. Blood samples were obtained from 81 patients with STB, 80 with mild TB (MTB) and 50 healthy controls. Differentially expressed proteins were identified using liquid chromatography-tandem mass spectrometry-based label-free quantitative proteomic analysis. Functional and pathway enrichment analyses were performed for the identified proteins. The expression of potential biomarkers was further validated by western blot analysis and enzyme-linked immunosorbent assays. The accuracy, sensitivity and specificity for selected protein biomarkers in diagnosing STB were also evaluated. A total of 1,011 proteins were identified in all three groups, and 153 differentially expressed proteins were identified in patients with STB. These proteins were involved in ‘cellular process’, ‘response to stimulus’, ‘apoptotic process’, ‘immune system process’ and ‘select metabolic process’. Significant differences in protein expression were detected in α-1-acid glycoprotein 2 (ORM2), interleukin-36α (IL-36α), S100 calcium binding protein A9 (S100-A9), superoxide dismutase (SOD)1 in the STB group, compared with the MTB and control groups. The combination of plasma ORM2, IL-36α, S100A9 and SOD1 levels achieved 90.00% sensitivity and 92.16% specificity to discriminate between patients with STB and MTB, and 89.66% sensitivity and 98.9% specificity to discriminate between patients with STB and healthy controls. ORM2, S100A9, IL-36α and SOD1 were associated with the development of TB, and have the potential to distinguish between different stages of TB. Differential protein expression during disease progression may improve the current understanding of STB pathogenesis. D.A. Spandidos 2018-08 2018-06-05 /pmc/articles/PMC6072192/ /pubmed/29901122 http://dx.doi.org/10.3892/mmr.2018.9134 Text en Copyright: © Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Liu, Qiuyue
Pan, Liping
Han, Fen
Luo, Baojian
Jia, Hongyan
Xing, Aiying
Li, Qi
Zhang, Zongde
Proteomic profiling for plasma biomarkers of tuberculosis progression
title Proteomic profiling for plasma biomarkers of tuberculosis progression
title_full Proteomic profiling for plasma biomarkers of tuberculosis progression
title_fullStr Proteomic profiling for plasma biomarkers of tuberculosis progression
title_full_unstemmed Proteomic profiling for plasma biomarkers of tuberculosis progression
title_short Proteomic profiling for plasma biomarkers of tuberculosis progression
title_sort proteomic profiling for plasma biomarkers of tuberculosis progression
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6072192/
https://www.ncbi.nlm.nih.gov/pubmed/29901122
http://dx.doi.org/10.3892/mmr.2018.9134
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