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. 2024 Dec 16;230(6):e1355-e1365.
doi: 10.1093/infdis/jiae237.

Transcriptomic Signatures of Progression to Tuberculosis Disease Among Close Contacts in Brazil

Collaborators, Affiliations

Transcriptomic Signatures of Progression to Tuberculosis Disease Among Close Contacts in Brazil

Simon C Mendelsohn et al. J Infect Dis. .

Abstract

Background: Approximately 5% of people infected with Mycobacterium tuberculosis progress to tuberculosis (TB) disease without preventive therapy. There is a need for a prognostic test to identify those at highest risk of incident TB so that therapy can be targeted. We evaluated host blood transcriptomic signatures for progression to TB disease.

Methods: Close contacts (≥4 hours of exposure per week) of adult patients with culture-confirmed pulmonary TB were enrolled in Brazil. Investigation for incident, microbiologically confirmed, or clinically diagnosed pulmonary or extrapulmonary TB disease through 24 months of follow-up was symptom triggered. Twenty previously validated blood TB transcriptomic signatures were measured at baseline by real-time quantitative polymerase chain reaction. Prognostic performance for incident TB was tested by receiver operating characteristic curve analysis at 6, 9, 12, and 24 months of follow-up.

Results: Between June 2015 and June 2019, 1854 close contacts were enrolled. Twenty-five progressed to incident TB, of whom 13 had microbiologically confirmed disease. Baseline transcriptomic signature scores were measured in 1789 close contacts. Prognostic performance for all signatures was best within 6 months of diagnosis. Seven signatures (Gliddon4, Suliman4, Roe3, Roe1, Penn-Nicholson6, Francisco2, and Rajan5) met the minimum World Health Organization target product profile for a prognostic test through 6 months and 3 signatures (Gliddon4, Rajan5, and Duffy9) through 9 months. None met the target product profile threshold through ≥12 months of follow-up.

Conclusions: Blood transcriptomic signatures may be useful for predicting TB risk within 9 months of measurement among TB-exposed contacts to target preventive therapy administration.

Keywords: biomarkers; blood; prognostic; transcriptomic; tuberculosis.

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Conflict of interest statement

Potential conflicts of interest. A. P.-N. and T. J. S. have 2 patents: WO2016123058A1 WIPO (PCT), “Biomarkers for detection of tuberculosis risk,” and WO2017081618A9 WIPO (PCT), “Biomarkers for prospective determination of risk for development of active tuberculosis.” All other authors report no potential 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.

Figures

Figure 1.
Figure 1.
Study flow diagram. Mtb, Mycobacterium tuberculosis; qPCR, quantitative polymerase chain reaction; TB, tuberculosis.
Figure 2.
Figure 2.
Prognostic performance of transcriptomic signatures. Representative (A) box-and-whisker plots, (B) scatter plots, and (C) ROC curves of the transcriptomic signatures with the best prognostic performance through 6 months (Gliddon4 and Kaforou22) and 9 through 24 months (Duffy9) of follow-up. A, The box-and-whisker plots depict signature score distribution at enrollment by TB status; each dot represents a participant. Red crosses represent IGRA-negative (IGRA−) and IGRA-positive (IGRA+) nonprogressors; blue and green dots, pulmonary and extrapulmonary incident TB cases, respectively; and triangles and circles, microbiologically confirmed and clinically diagnosed TB, respectively. P values for comparison of median signature scores between groups in the box-and-whisker plots were calculated with the Mann-Whitney U test. Box, IQR; midline, median; whiskers, IQR ± (1.5 × IQR). Numbers of participants are included in Table 3. B, The scatter plots depict signature score distribution at enrollment and month 6 of follow-up by months to incident TB diagnosis. Each dot represents a participant with incident TB; blue and green dots, pulmonary and extrapulmonary TB cases, respectively; and triangles and circles, microbiologically confirmed and clinically diagnosed TB, respectively. LOESS curve, the local polynomial regression; shaded area, 95% CI on the LOESS regression. Spearman rank order correlation coefficient (ρ), demonstrating the association between time to incident TB diagnosis and signature score, and P values are shown for each signature. C, The ROC curves depict the prognostic performance (AUC with 95% CI) of signatures for differentiating progressors (incident TB disease) vs nonprogressors (healthy close contacts) through 6, 9, 12, and 24 months of follow-up. Numbers of participants are included in Table 3. The solid box depicts the optimal criteria (90%, sensitivity; 90%, specificity) and the dashed box the minimal criteria (75%, sensitivity; 75%, specificity) as set out in the World Health Organization’s target product profile for an incipient TB test [16]. (D) Summary of signature prognostic performance in the order of AUC estimates through 6 months of follow-up. The prognostic AUC estimates through 9, 12, and 24 months are also shown. Midline, the AUC estimate; error bars, 95% CI. AUC, area under the curve; IGRA, interferon-γ release assay; LOESS, locally estimated scatterplot smoothing; ROC, receiver operating characteristic; TB, tuberculosis.

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