Cepheid 9-gene host mRNA expression across the spectrum of Mycobacterium tuberculosis infection and disease: insights across the lifespan

BACKGROUND: Novel diagnostic solutions using host-response-based gene signatures to differentiate between individuals infected with Mycobacterium tuberculosis presenting with active tuberculosis disease (ATB), individuals infected with the bacterium in the absence of active tuberculosis disease (TBI), and individuals with no evidence of ATB or TBI (no TB) have demonstrated limited utility. However, the impact of age-related immunological changes on diagnostic performance remains unclear. METHODS: Using blood samples collected from 119 'adolescent/young adults' aged 10-24 years, 259 'adults' aged 25-55 years, and 79 'older adults' aged 56 years and above we explored differences in expression of eight gene targets using a novel research-use-only Cepheid Xpert TB/LTBI assay. We plotted relative expression for each gene by age stratified by TB status, then constructed two composite classifiers using a subset of gene targets. These composite classifiers were compared using AUCs derived from logistic regression models fitted within each age stratum. FINDINGS: Expression of IL2, IFNG, and MIG appeared to best differentiate individuals who were classified as TBI or ATB from no TB and were used to construct an 'exposure' classifier which yielded an AUC of 0.89 (95% CI 0.83-0.96) among adolescent/young adults, 0.82 (95% CI 0.76-0.87) among adults, and 0.71 (95% CI 0.58-0.84) among older adults. Similarly, expression of SLPI, VEGFA, PLAU, and GBP5 appeared to best differentiate between individuals who were classified as ATB from TBI or no TB. The corresponding composite 'disease' classifier yielded an AUC of 0.88 (95% CI 0.80-0.96) among adolescent/young adults, 0.74 (95% CI 0.66-0.82) among adults, and 0.56 (95% CI 0.40-0.73) among older adults. INTERPRETATION: This study demonstrates the importance of considering age in the development and evaluation of host-response-based diagnostics for ATB and TBI and suggests that host-response-based diagnostics may prove most useful in differentiation of ATB, TBI, and no TB among adolescent/young adults. FUNDINGS: This study was supported by the US Department of Defence (award number W81XWH-18-1-0253) and National Institutes of Health (award number R01AI137681). Salary support was received from the National Institutes of Health (training grant number T32AI007384).

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Publication Details

Journal
EBioMedicine
Published
2026-09-01
DOI
https://doi.org/10.1016/j.ebiom.2026.106462
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Cepheid 9-gene host mRNA expression across the spectrum of Mycobacterium tuberculosis infection and disease: insights across the lifespan

Sabira Tahseen, Timothy C. Rodwell, Rebecca E. Colman, Antonino Catanzaro et al.
EBioMedicine
Tuberculosis Research and Epidemiology
article

Cepheid 9-gene host mRNA expression across the spectrum of Mycobacterium tuberculosis infection and disease: insights across the lifespan

Sabira Tahseen, Timothy C. Rodwell, Rebecca E. Colman, Antonino Catanzaro, Azhar Hussain, Uzma Majeed, Marva Seifert, Donald G. Catanzaro, Naomi Hillery, Michael Gracia, Faiqa Rashid, Faisal Masood, Ashley Swing, Rehan R. Syed
article en

Abstract

BACKGROUND: Novel diagnostic solutions using host-response-based gene signatures to differentiate between individuals infected with Mycobacterium tuberculosis presenting with active tuberculosis disease (ATB), individuals infected with the bacterium in the absence of active tuberculosis disease (TBI), and individuals with no evidence of ATB or TBI (no TB) have demonstrated limited utility. However, the impact of age-related immunological changes on diagnostic performance remains unclear. METHODS: Using blood samples collected from 119 'adolescent/young adults' aged 10-24 years, 259 'adults' aged 25-55 years, and 79 'older adults' aged 56 years and above we explored differences in expression of eight gene targets using a novel research-use-only Cepheid Xpert TB/LTBI assay. We plotted relative expression for each gene by age stratified by TB status, then constructed two composite classifiers using a subset of gene targets. These composite classifiers were compared using AUCs derived from logistic regression models fitted within each age stratum. FINDINGS: Expression of IL2, IFNG, and MIG appeared to best differentiate individuals who were classified as TBI or ATB from no TB and were used to construct an 'exposure' classifier which yielded an AUC of 0.89 (95% CI 0.83-0.96) among adolescent/young adults, 0.82 (95% CI 0.76-0.87) among adults, and 0.71 (95% CI 0.58-0.84) among older adults. Similarly, expression of SLPI, VEGFA, PLAU, and GBP5 appeared to best differentiate between individuals who were classified as ATB from TBI or no TB. The corresponding composite 'disease' classifier yielded an AUC of 0.88 (95% CI 0.80-0.96) among adolescent/young adults, 0.74 (95% CI 0.66-0.82) among adults, and 0.56 (95% CI 0.40-0.73) among older adults. INTERPRETATION: This study demonstrates the importance of considering age in the development and evaluation of host-response-based diagnostics for ATB and TBI and suggests that host-response-based diagnostics may prove most useful in differentiation of ATB, TBI, and no TB among adolescent/young adults. FUNDINGS: This study was supported by the US Department of Defence (award number W81XWH-18-1-0253) and National Institutes of Health (award number R01AI137681). Salary support was received from the National Institutes of Health (training grant number T32AI007384).

EBioMedicineVol. 132
National Tuberculosis Institute (IN), UC San Diego Health System (US), University of California System (US), University of California San Diego (US), National University of Technology (PK), University of Arkansas at Fayetteville (US)
U.S. Department of Defense, National Institutes of Health, Office of Extramural Research, National Institutes of Health
Zero hunger, Good health and well-being
Openalex Percentile: Top 11%
Tuberculosis Research and Epidemiology
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