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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Main Authors: 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
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0252875
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spelling doaj-c7a58d5ee73f4b69bd568b5f466ac39b2021-07-02T04:32:06ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01166e025287510.1371/journal.pone.0252875Immune status changing helps diagnose osteoarticular tuberculosis.Tuo LiangJiarui ChenGuoYong XuZide ZhangJiang XueHaopeng ZengJie JiangTianyou ChenZhaojie QinHao LiZhen YeYunfeng NieChong LiuXinli Zhan<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.https://doi.org/10.1371/journal.pone.0252875
collection DOAJ
language English
format Article
sources DOAJ
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
spellingShingle 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.
PLoS ONE
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)
series PLoS ONE
issn 1932-6203
publishDate 2021-01-01
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.
url https://doi.org/10.1371/journal.pone.0252875
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