Distinct serum metabolic profiles with supportive diagnostic value in differentiating tuberculosis and Mycobacterium avium complex pulmonary disease

This study provides a novel approach for the differential diagnosis of two major mycobacterial pulmonary diseases. The identified metabolites, particularly alterations in sphingoid base lipids and 2-HG, demonstrated robust discriminative potential. These findings support their potential role as biomarkers in clinical practice, enabling earlier and more accurate differentiation of TB and MAC-PD.

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Publication Details

Journal
Journal of Infection and Public Health
Published
2026-02-01
DOI
https://doi.org/10.1016/j.jiph.2026.103162
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Distinct serum metabolic profiles with supportive diagnostic value in differentiating tuberculosis and Mycobacterium avium complex pulmonary disease

Sung Jae Shin, Jae-Joon Yim, Keu Eun San Kim, Ye Jin Lee et al.
Journal of Infection and Public Health
Tuberculosis Research and Epidemiology
article

Distinct serum metabolic profiles with supportive diagnostic value in differentiating tuberculosis and Mycobacterium avium complex pulmonary disease

Sung Jae Shin, Jae-Joon Yim, Keu Eun San Kim, Ye Jin Lee, Ji Hae Park, Su-Young Kim, Nakwon Kwak, Byung Woo Jhun
article en

Abstract

This study provides a novel approach for the differential diagnosis of two major mycobacterial pulmonary diseases. The identified metabolites, particularly alterations in sphingoid base lipids and 2-HG, demonstrated robust discriminative potential. These findings support their potential role as biomarkers in clinical practice, enabling earlier and more accurate differentiation of TB and MAC-PD.

Journal of Infection and Public HealthVol. 19(4)
Yonsei University (KR), Samsung Medical Center (KR), Seoul National University Hospital (KR), Seoul National University Bundang Hospital (KR), Sungkyunkwan University (KR)
Reduced inequalities
Openalex Percentile: Top 68%
Tuberculosis Research and Epidemiology
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