Detecting latent tuberculosis infection with a breath test using mass spectrometer: A pilot cross-sectional study

Liang Fu; Yong Feng; Tantan Ren; Min Yang; Qianting Yang; Yi Lin; Hui Zeng; Jiaohong Zhang; Lei Liu; Qingyun Li; Mengqi He; Peize Zhang; Haibin Chen; Guofang Deng

doi:10.5582/bst.2022.01476

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Detecting latent tuberculosis infection with a breath test using mass spectrometer: A pilot cross-sectional study

Liang Fu, Yong Feng, Tantan Ren, Min Yang, Qianting Yang, Yi Lin, Hui Zeng, Jiaohong Zhang, Lei Liu, Qingyun Li, Mengqi He, Peize Zhang, Haibin Chen, Guofang Deng

著者情報

Liang Fu
Division Two of Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Yong Feng
Breax Laboratory, PCAB Research Center of Breath and Metabolism, Beijing, China.
Tantan Ren
Division Two of Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Min Yang
Division Two of Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Qianting Yang
Guangdong Key Lab for Diagnosis & Treatment of Emerging Infectious Disease, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Yi Lin
Division Two of Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Hui Zeng
Medical Examination Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Jiaohong Zhang
Pulmonary Diseases Out-patient Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Lei Liu
Division Two of Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Qingyun Li
Breax Laboratory, PCAB Research Center of Breath and Metabolism, Beijing, China.
Mengqi He
Breax Laboratory, PCAB Research Center of Breath and Metabolism, Beijing, China.
Peize Zhang
Division Two of Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Haibin Chen
Breax Laboratory, PCAB Research Center of Breath and Metabolism, Beijing, China.
Guofang Deng
Division Two of Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China.

キーワード: latent tuberculosis infection, tuberculosis, diagnosis, volatile organic compounds, breath

ジャーナルフリー早期公開

論文ID: 2022.01476

DOI https://doi.org/10.5582/bst.2022.01476

この記事には本公開記事があります。

The final version of this article is now available: Vol. 17 (2023), No. 1 pp. 73-77

詳細

抄録

Mycobacterium tuberculosis (M.tb) infects a quarter of the world's population and may progress to active tuberculosis (ATB). There is no gold standard for diagnosing latent tuberculosis infection (LTBI). Some immunodiagnostic tests are recommended to detect LTBI but can not distinguish ATB from LTBI. The breath test is useful for diagnosing ATB compared to healthy subjects but was never studied for LTBI. This proof-of-concept study (Chinese Clinical Trials Registry number: ChiCTR2200058346) was the first to explore a novel, rapid, and simple LTBI detection method via breath test on high-pressure photon ionization time-of-flight mass spectrometry (HPPI-TOFMS). The case group of LTBI subjects (n = 185) and the control group (n = 250), which included ATB subgroup (n = 121) and healthy control (HC) subgroup (n = 129), were enrolled. The LTBI detection model indicated that a breath test via HPPI-TOFMS could distinguish LTBI from the control with a sensitivity of 80.0% (95% CI: 67.6%, 92.4%) and a specificity of 80.8% (95% CI: 71.8%, 89.9%). Nevertheless, further intensive studies with a larger sample size are required for clinical application.

責任著者(Corresponding author)

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