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Screening and identification of serum biomarkers of osteoarticular tuberculosis based on mass spectrometry

BACKGROUND: In view of the current difficulty of clinically diagnosing osteoarticular tuberculosis, our aim was to use mass spectrometry to establish diagnostic models and to screen and identify serum proteins which could serve as potential diagnostic biomarkers for early detection of osteoarticular...

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Autores principales: Chen, Ximeng, Jia, Xingwang, Lei, Hong, Wen, Xinyu, Hao, Yanfei, Ma, Yating, Ye, Jingyun, Wang, Chengbin, Gao, Jimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370717/
https://www.ncbi.nlm.nih.gov/pubmed/32162728
http://dx.doi.org/10.1002/jcla.23297
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author Chen, Ximeng
Jia, Xingwang
Lei, Hong
Wen, Xinyu
Hao, Yanfei
Ma, Yating
Ye, Jingyun
Wang, Chengbin
Gao, Jimin
author_facet Chen, Ximeng
Jia, Xingwang
Lei, Hong
Wen, Xinyu
Hao, Yanfei
Ma, Yating
Ye, Jingyun
Wang, Chengbin
Gao, Jimin
author_sort Chen, Ximeng
collection PubMed
description BACKGROUND: In view of the current difficulty of clinically diagnosing osteoarticular tuberculosis, our aim was to use mass spectrometry to establish diagnostic models and to screen and identify serum proteins which could serve as potential diagnostic biomarkers for early detection of osteoarticular tuberculosis. METHODS: Matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry (MALDI‐TOF MS) was used to select an osteoarticular tuberculosis‐specific serum peptide profile and establish diagnostic models. Further, liquid chromatography‐tandem mass spectrometry (LC‐MS/MS) was used to identify potential serum biomarkers that could be used for auxiliary diagnosis of osteoarticular tuberculosis, and then clinical serum samples were used to verify these biomarkers by enzyme‐linked immunosorbent assay (ELISA). RESULTS: We established four diagnostic models that can distinguish osteoarticular tuberculosis from rheumatoid arthritis, ankylosing spondylitis, osteoarticular infections, and healthy adults. The models were osteoarticular tuberculosis‐rheumatoid arthritis, osteoarticular tuberculosis‐ankylosing spondylitis, osteoarticular tuberculosis‐osteoarticular infections, and osteoarticular tuberculosis‐healthy adult, and their accuracy was 76.78%, 79.02%, 83.77%, and 88.16%, respectively. Next, we selected and identified 18 proteins, including complement factor H‐related protein 1 (CFHR1) and complement factor H‐related protein 2 (CFHR2), which were upregulated in the tuberculosis group only. CONCLUSIONS: We successfully established four diagnostic models involving osteoarticular tuberculosis, rheumatoid arthritis, ankylosing spondylitis, osteoarticular infections, and healthy adults. Furthermore, we found that CFHR1 and CFHR2 may be two valuable auxiliary diagnostic indicators for osteoarticular tuberculosis. These results provide reference values for rapid and accurate diagnosis of osteoarticular tuberculosis.
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spelling pubmed-73707172020-07-21 Screening and identification of serum biomarkers of osteoarticular tuberculosis based on mass spectrometry Chen, Ximeng Jia, Xingwang Lei, Hong Wen, Xinyu Hao, Yanfei Ma, Yating Ye, Jingyun Wang, Chengbin Gao, Jimin J Clin Lab Anal Research Articles BACKGROUND: In view of the current difficulty of clinically diagnosing osteoarticular tuberculosis, our aim was to use mass spectrometry to establish diagnostic models and to screen and identify serum proteins which could serve as potential diagnostic biomarkers for early detection of osteoarticular tuberculosis. METHODS: Matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry (MALDI‐TOF MS) was used to select an osteoarticular tuberculosis‐specific serum peptide profile and establish diagnostic models. Further, liquid chromatography‐tandem mass spectrometry (LC‐MS/MS) was used to identify potential serum biomarkers that could be used for auxiliary diagnosis of osteoarticular tuberculosis, and then clinical serum samples were used to verify these biomarkers by enzyme‐linked immunosorbent assay (ELISA). RESULTS: We established four diagnostic models that can distinguish osteoarticular tuberculosis from rheumatoid arthritis, ankylosing spondylitis, osteoarticular infections, and healthy adults. The models were osteoarticular tuberculosis‐rheumatoid arthritis, osteoarticular tuberculosis‐ankylosing spondylitis, osteoarticular tuberculosis‐osteoarticular infections, and osteoarticular tuberculosis‐healthy adult, and their accuracy was 76.78%, 79.02%, 83.77%, and 88.16%, respectively. Next, we selected and identified 18 proteins, including complement factor H‐related protein 1 (CFHR1) and complement factor H‐related protein 2 (CFHR2), which were upregulated in the tuberculosis group only. CONCLUSIONS: We successfully established four diagnostic models involving osteoarticular tuberculosis, rheumatoid arthritis, ankylosing spondylitis, osteoarticular infections, and healthy adults. Furthermore, we found that CFHR1 and CFHR2 may be two valuable auxiliary diagnostic indicators for osteoarticular tuberculosis. These results provide reference values for rapid and accurate diagnosis of osteoarticular tuberculosis. John Wiley and Sons Inc. 2020-03-12 /pmc/articles/PMC7370717/ /pubmed/32162728 http://dx.doi.org/10.1002/jcla.23297 Text en © 2020 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
Chen, Ximeng
Jia, Xingwang
Lei, Hong
Wen, Xinyu
Hao, Yanfei
Ma, Yating
Ye, Jingyun
Wang, Chengbin
Gao, Jimin
Screening and identification of serum biomarkers of osteoarticular tuberculosis based on mass spectrometry
title Screening and identification of serum biomarkers of osteoarticular tuberculosis based on mass spectrometry
title_full Screening and identification of serum biomarkers of osteoarticular tuberculosis based on mass spectrometry
title_fullStr Screening and identification of serum biomarkers of osteoarticular tuberculosis based on mass spectrometry
title_full_unstemmed Screening and identification of serum biomarkers of osteoarticular tuberculosis based on mass spectrometry
title_short Screening and identification of serum biomarkers of osteoarticular tuberculosis based on mass spectrometry
title_sort screening and identification of serum biomarkers of osteoarticular tuberculosis based on mass spectrometry
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370717/
https://www.ncbi.nlm.nih.gov/pubmed/32162728
http://dx.doi.org/10.1002/jcla.23297
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