Immune status changing helps diagnose osteoarticular tuberculosis.

<h4>Objective</h4>This study is aimed to develop a new nomogram for the clinical diagnosis of osteoarticular tuberculosis (TB).<h4>Methods</h4>xCell score estimation to obtained the immune cell type abundance scores. We downloaded the expression profile of GSE83456 from GEO a...

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Autores principales:	Tuo Liang, Jiarui Chen, GuoYong Xu, Zide Zhang, Jiang Xue, Haopeng Zeng, Jie Jiang, Tianyou Chen, Zhaojie Qin, Hao Li, Zhen Ye, Yunfeng Nie, Chong Liu, Xinli Zhan
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c7a58d5ee73f4b69bd568b5f466ac39b
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spelling	oai:doaj.org-article:c7a58d5ee73f4b69bd568b5f466ac39b2021-12-02T20:10:38ZImmune status changing helps diagnose osteoarticular tuberculosis.1932-620310.1371/journal.pone.0252875https://doaj.org/article/c7a58d5ee73f4b69bd568b5f466ac39b2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0252875https://doaj.org/toc/1932-6203<h4>Objective</h4>This study is aimed to develop a new nomogram for the clinical diagnosis of osteoarticular tuberculosis (TB).<h4>Methods</h4>xCell score estimation to obtained the immune cell type abundance scores. We downloaded the expression profile of GSE83456 from GEO and proceed xCell score estimation. The routine blood examinations of 326 patients were collected for further validation. We analyzed univariate and multivariate logistic regression to identified independent predicted factor for developing the nomogram. The performance of the nomogram was assessed using the receiver operating characteristic (ROC) curves. The correlation of ESR with lymphocytes, monocytes, and ML ratio was performed and visualized in osteoarticular TB patients.<h4>Results</h4>Compared with the healthy control group in the dataset GSE83456, the xCell score of basophils, monocytes, neutrophils, and platelets was higher, while lymphoid was lower in the EPTB group. The clinical data showed that the cell count of monocytes were much higher, while the cell counts of lymphocytes were lower in the osteoarticular TB group. AUCs of the nomogram was 0.798 for the dataset GSE83456, and 0.737 for the clinical data. We identified the ML ratio, BMI, and ESR as the independent predictive factors for osteoarticular TB diagnosis and constructed a nomogram for the clinical diagnosis of osteoarticular TB. AUCs of this nomogram was 0.843.<h4>Conclusions</h4>We demonstrated a significant change between the ML ratio of the EPTB and non-TB patients. Moreover, we constructed a nomogram for the clinical diagnosis of the osteoarticular TB diagnosis, which works satisfactorily.Tuo LiangJiarui ChenGuoYong XuZide ZhangJiang XueHaopeng ZengJie JiangTianyou ChenZhaojie QinHao LiZhen YeYunfeng NieChong LiuXinli ZhanPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0252875 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Tuo Liang Jiarui Chen GuoYong Xu Zide Zhang Jiang Xue Haopeng Zeng Jie Jiang Tianyou Chen Zhaojie Qin Hao Li Zhen Ye Yunfeng Nie Chong Liu Xinli Zhan Immune status changing helps diagnose osteoarticular tuberculosis.
description	<h4>Objective</h4>This study is aimed to develop a new nomogram for the clinical diagnosis of osteoarticular tuberculosis (TB).<h4>Methods</h4>xCell score estimation to obtained the immune cell type abundance scores. We downloaded the expression profile of GSE83456 from GEO and proceed xCell score estimation. The routine blood examinations of 326 patients were collected for further validation. We analyzed univariate and multivariate logistic regression to identified independent predicted factor for developing the nomogram. The performance of the nomogram was assessed using the receiver operating characteristic (ROC) curves. The correlation of ESR with lymphocytes, monocytes, and ML ratio was performed and visualized in osteoarticular TB patients.<h4>Results</h4>Compared with the healthy control group in the dataset GSE83456, the xCell score of basophils, monocytes, neutrophils, and platelets was higher, while lymphoid was lower in the EPTB group. The clinical data showed that the cell count of monocytes were much higher, while the cell counts of lymphocytes were lower in the osteoarticular TB group. AUCs of the nomogram was 0.798 for the dataset GSE83456, and 0.737 for the clinical data. We identified the ML ratio, BMI, and ESR as the independent predictive factors for osteoarticular TB diagnosis and constructed a nomogram for the clinical diagnosis of osteoarticular TB. AUCs of this nomogram was 0.843.<h4>Conclusions</h4>We demonstrated a significant change between the ML ratio of the EPTB and non-TB patients. Moreover, we constructed a nomogram for the clinical diagnosis of the osteoarticular TB diagnosis, which works satisfactorily.
format	article
author	Tuo Liang Jiarui Chen GuoYong Xu Zide Zhang Jiang Xue Haopeng Zeng Jie Jiang Tianyou Chen Zhaojie Qin Hao Li Zhen Ye Yunfeng Nie Chong Liu Xinli Zhan
author_facet	Tuo Liang Jiarui Chen GuoYong Xu Zide Zhang Jiang Xue Haopeng Zeng Jie Jiang Tianyou Chen Zhaojie Qin Hao Li Zhen Ye Yunfeng Nie Chong Liu Xinli Zhan
author_sort	Tuo Liang
title	Immune status changing helps diagnose osteoarticular tuberculosis.
title_short	Immune status changing helps diagnose osteoarticular tuberculosis.
title_full	Immune status changing helps diagnose osteoarticular tuberculosis.
title_fullStr	Immune status changing helps diagnose osteoarticular tuberculosis.
title_full_unstemmed	Immune status changing helps diagnose osteoarticular tuberculosis.
title_sort	immune status changing helps diagnose osteoarticular tuberculosis.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/c7a58d5ee73f4b69bd568b5f466ac39b
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Immune status changing helps diagnose osteoarticular tuberculosis.

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