Breathomics for diagnosing tuberculosis in diabetes mellitus patients

Rong Xu; Ying Zhang; Zhaodong Li; Mingjie He; Hailin Lu; Guizhen Liu; Guizhen Liu; Min Yang; Liang Fu; Xinchun Chen; Guofang Deng; Wenfei Wang

doi:10.3389/fmolb.2024.1436135

Frontiers in Molecular Biosciences (Aug 2024)

Breathomics for diagnosing tuberculosis in diabetes mellitus patients

Rong Xu,
Ying Zhang,
Zhaodong Li,
Mingjie He,
Hailin Lu,
Guizhen Liu,
Guizhen Liu,
Min Yang,
Liang Fu,
Xinchun Chen,
Guofang Deng,
Wenfei Wang

Affiliations

Rong Xu: Endocrinology Department, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China
Ying Zhang: Department of Endocrinology, The Third People’s Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology, Shenzhen, China
Zhaodong Li: Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathogen Biology, Shenzhen University Medical School, Shenzhen, China
Mingjie He: Endocrinology Department, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China
Hailin Lu: Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, China
Guizhen Liu: Endocrinology Department, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China
Guizhen 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, 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, China
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, China
Xinchun Chen: Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathogen Biology, Shenzhen University Medical School, Shenzhen, 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, China
Wenfei Wang: National Clinical Research Center for Infectious Disease, The Third People’s Hospital of Shenzhen, Southern University of Science and Technology, Shenzhen, China

DOI: https://doi.org/10.3389/fmolb.2024.1436135
Journal volume & issue: Vol. 11

Abstract

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IntroductionIndividuals with diabetes mellitus (DM) are at an increased risk of Mycobacterium tuberculosis (Mtb) infection and progressing from latent tuberculosis (TB) infection to active tuberculosis disease. TB in the DM population is more likely to go undiagnosed due to smear-negative results.MethodsExhaled breath samples were collected and analyzed using high-pressure photon ionization time-of-flight mass spectrometry. An eXtreme Gradient Boosting (XGBoost) model was utilized for breathomics analysis and TB detection.ResultsXGBoost model achieved a sensitivity of 88.5%, specificity of 100%, accuracy of 90.2%, and an area under the curve (AUC) of 98.8%. The most significant feature across the entire set was m106, which demonstrated a sensitivity of 93%, specificity of 100%, and an AUC of 99.7%.DiscussionThe breathomics-based TB detection method utilizing m106 exhibited high sensitivity and specificity potentially beneficial for clinical TB screening and diagnosis in individuals with diabetes.

Published in Frontiers in Molecular Biosciences

ISSN: 2296-889X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Science: Biology (General)
Website: https://www.frontiersin.org/journals/molecular-biosciences

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