Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
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 |
_version_ | 1783561025413447680 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7370717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chenximeng screeningandidentificationofserumbiomarkersofosteoarticulartuberculosisbasedonmassspectrometry AT jiaxingwang screeningandidentificationofserumbiomarkersofosteoarticulartuberculosisbasedonmassspectrometry AT leihong screeningandidentificationofserumbiomarkersofosteoarticulartuberculosisbasedonmassspectrometry AT wenxinyu screeningandidentificationofserumbiomarkersofosteoarticulartuberculosisbasedonmassspectrometry AT haoyanfei screeningandidentificationofserumbiomarkersofosteoarticulartuberculosisbasedonmassspectrometry AT mayating screeningandidentificationofserumbiomarkersofosteoarticulartuberculosisbasedonmassspectrometry AT yejingyun screeningandidentificationofserumbiomarkersofosteoarticulartuberculosisbasedonmassspectrometry AT wangchengbin screeningandidentificationofserumbiomarkersofosteoarticulartuberculosisbasedonmassspectrometry AT gaojimin screeningandidentificationofserumbiomarkersofosteoarticulartuberculosisbasedonmassspectrometry |