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. 2025 Sep 15;232(3):578-587.
doi: 10.1093/infdis/jiaf240.

A Plasma Metabolic Signature to Diagnose Pulmonary Tuberculosis and Monitor Treatment Response

Collaborators, Affiliations

A Plasma Metabolic Signature to Diagnose Pulmonary Tuberculosis and Monitor Treatment Response

Jeffrey M Collins et al. J Infect Dis. .

Abstract

Background: High-resolution metabolomics has shown promise for identifying blood-based biomarkers of tuberculosis (TB). We sought to discover a metabolic signature to detect pulmonary TB disease and monitor treatment response.

Methods: Plasma from Ethiopian persons with pulmonary TB at diagnosis (n = 82) was compared to household contacts with TB symptoms (n = 104) and 2, 6, and 12 months after treatment initiation. Participants were divided into training and test sets for model building, with additional validation using independent cohorts from the countries of Georgia (n = 89) and South Africa (n = 85). Signatures were further evaluated in nonhuman primates infected with Mycobacterium tuberculosis (Mtb).

Results: Among the metabolites that most significantly differed in concentration, tryptophan (Trp) and retinol were significantly decreased in persons with TB disease (45.2 vs 62.5 μM and 4.1 vs 8.2 μM, respectively), while kynurenine (Kyn) was significantly increased (2.1 vs 1.6 μM; q < .0001 for all). A signature that included the Kyn/Trp ratio and retinol showed excellent classification for TB disease (area under the curve [AUC] = 0.97). The signature had an AUC of 0.97 in HIV-positive and 0.95 in HIV-negative persons with TB disease from South Africa and 0.93 in TB patients from Georgia. In Ethiopian participants, signature scores decreased after 2 months (0.85 to 0.42) and 6 months of TB treatment (0.42 to 0.18; P < .0001 for both) to similar levels as controls. Plasma retinol also declined in nonhuman primates infected with Mtb 15-16 weeks after infection (5.9 vs 3.6 μM; P < .001).

Conclusions: The plasma Kyn/Trp ratio and retinol represents a promising metabolic signature that could advance TB diagnostics.

Keywords: biomarkers; diagnostics; metabolomics; treatment response; tuberculosis.

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Conflict of interest statement

Potential conflicts of interest. All authors: No reported conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

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