Profiling the human immune response to Mycobacterium tuberculosis by human cytokine array - 13/03/16

Doi : 10.1016/j.tube.2015.12.007

Tao Chen ^a,^{^{1
Corresponding first author.}}, Zhenyan Li ^j,^{^{1
Corresponding first author.}}, Li Yu ^k,^{^{1
Corresponding first author.}}, Haicheng Li ^a, Jinfei Lin ^a, Huixin Guo ^a, Wei Wang ^c, Liang Chen ^a, Xianen Zhang ^b, Yunxia Wang ^d, Yuhui Chen ^a, Qinghua Liao ^b, Yaoju Tan ^e, Yang Shu ^a, Wenyan Huang ^d, Changhui Cai ^f, Zhongjing Zhou ^g, Meiling Yu ^g, Guozhou Li ⁱ, Lin Zhou ^a,^⁎ , Qiu Zhong ^a,^⁎ , Lijun Bi ^b,^⁎ , Meigui Zhao ^d,^⁎ , Lina Guo ^h,^⁎ , Jie Zhou ^c,^⁎
^a Center for Tuberculosis Control of Guangdong Province, Guangzhou 510630, China
^b Institute of Biophysics, Chinese Academy of Science, Beijing 100101, China
^c Foshan Fourth People's Hospital, Foshan 528000, China
^d Bao'an Chronic Diseases Prevention and Cure Hospital, Shenzhen 518102, China
^e Guangzhou Chest Hospital, Guangzhou 510095, China
^f The Second People's Hospital of Zhongshan City, Zhongshan 528447, China
^g Chinese Medicine Hospital of Huangpu District, Guangzhou 510700, China
^h GuangDong Provincial Hospital of Chinese Medicine, Guangdong 510120, China
ⁱ Chronic Disease Control and Prevention Station of Dongguan, Guangdong 523008, China
^j Department of Microbiology and Immunology, Jinan University, Guangzhou 510623, China
^k College of Light Industry and Food Sciences, South China University of Technology, Guangzhou 510640, China

^∗Corresponding author. Fax: +86 13332864810, +86 (0)2038906142.^∗∗Corresponding author. Fax: +86 13332864810, +86 (0)2038906142.^∗∗∗Corresponding author. Fax: +86 13332864810, +86 (0)2038906142.^∗∗∗∗Corresponding author. Fax: +86 13332864810, +86 (0)2038906142.^{∗∗∗∗∗}Corresponding author. Fax: +86 13332864810, +86 (0)2038906142.^{∗∗∗∗∗∗}Corresponding author Fax: +86 13332864810, +86 (0)2038906142.

Summary

Object

Tuberculosis (TB) continues to be one of the most serious infectious diseases in the world, however, no effective biomarkers can be used for rapid screening of latent tuberculosis infection (LTBI) and active TB. In this study, serum cytokines were screened and tested as potential biomarker for TB diagnosis.

Method

Cytokine array was used to track the cytokine profile and its dynamic change after TB infection. The different expressions of cytokines were confirmed by ELISA assay. ROC curve analyses were used to evaluate the efficacy of a cytokine or cytokine combination for diagnosis.

Results

Eotaxin-2, ICAM-1, MCSF, IL-12p70, and IL-11 were significantly higher in the LTBI individuals. I-309, MIG, Eotaxin-2, IL-8, ICAM-1, IL-6sR, and Eotaxin were significantly higher in active TB patients. ROC curve analyses gave AUCs of 0.843, 0.898, and 0.888 for I-309, MIG, and IL-8, respectively, and 0.894 for the combination panel in active TB diagnosis. IFN-γ/IL-4 and IL-2/TNF-α ratios exhibit dynamic changes in the healthy control and LTBI to different stages of active TB.

Conclusions

Serum cytokines, including I-309 and MIG, IL-8, Extoxin-2, ICAM-1 and combinations of cytokines, including IFN-γ/IL-4 and IL-2/TNF-α, can be used as serum biomarkers for LTBI and active TB screening, thus indicating prospective clinical applications.

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Keywords : Tuberculosis, MIG, I-309, IL-8, IFN-γ/IL-4, IL-2/TNF-α

Plan

Introduction

Materials and methods

Ethics statement and sample selection

Serum cytokine profile with human cytokine microarray and ELISA assay

Statistical analysis

Results

Serum cytokine profile and its dynamic change response to TB infection and anti-TB chemotherapy

Identification of serum cytokine biomarkers for active TB

Identification of serum cytokine biomarkers for LTBI

Ratio of IFN-γ/IL-4 and IL-2/TNF-α in active TB and LTBI diagnoses

Discussion

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Vol 97

P. 108-117 - mars 2016 Retour au numéro

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Profiling the human immune response to Mycobacterium tuberculosis by human cytokine array - 13/03/16

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