Circulating cell-free RNA in blood as a host response biomarker for detection of tuberculosis
Tuberculosis (TB) remains a leading cause of death from an infectious disease worldwide, partly due to a lack of effective strategies to screen and triage individuals with potential TB. Whole blood RNA signatures have been tested as biomarkers for TB, but have failed to meet the World Health Organiz...
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| Hauptverfasser: | , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
10 June 2024
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| In: |
Nature Communications
Year: 2024, Jahrgang: 15, Pages: 1-8 |
| ISSN: | 2041-1723 |
| DOI: | 10.1038/s41467-024-49245-6 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41467-024-49245-6 Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41467-024-49245-6 
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| Verfasserangaben: | Adrienne Chang, Conor J. Loy, Daniel Eweis-LaBolle, Joan S. Lenz, Amy Steadman, Alfred Andgrama, Nguyen Viet Nhung, Charles Yu, William Worodria, Claudia M. Denkinger, Payam Nahid, Adithya Cattamanchi & Iwijn De Vlaminck |
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| 245 | 1 | 0 | |a Circulating cell-free RNA in blood as a host response biomarker for detection of tuberculosis |c Adrienne Chang, Conor J. Loy, Daniel Eweis-LaBolle, Joan S. Lenz, Amy Steadman, Alfred Andgrama, Nguyen Viet Nhung, Charles Yu, William Worodria, Claudia M. Denkinger, Payam Nahid, Adithya Cattamanchi & Iwijn De Vlaminck |
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| 520 | |a Tuberculosis (TB) remains a leading cause of death from an infectious disease worldwide, partly due to a lack of effective strategies to screen and triage individuals with potential TB. Whole blood RNA signatures have been tested as biomarkers for TB, but have failed to meet the World Health Organization’s (WHO) optimal target product profiles (TPP). Here, we use RNA sequencing and machine-learning to investigate the utility of plasma cell-free RNA (cfRNA) as a host-response biomarker for TB in cohorts from Uganda, Vietnam and Philippines. We report a 6-gene cfRNA signature, which differentiates TB-positive and TB-negative individuals with AUC = 0.95, 0.92, and 0.95 in test, training and validation, respectively. This signature meets WHO TPPs (sensitivity: 97.1% [95% CI: 80.9-100%], specificity: 85.2% [95% CI: 72.4-100%]) regardless of geographic location, sample collection method and HIV status. Overall, our results identify plasma cfRNA as a promising host response biomarker to diagnose TB. | ||
| 650 | 4 | |a Antimicrobial responses | |
| 650 | 4 | |a Diagnostic markers | |
| 650 | 4 | |a Systems analysis | |
| 650 | 4 | |a Tuberculosis | |
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| 700 | 1 | |a Nhung, Nguyen Viet |e VerfasserIn |4 aut | |
| 700 | 1 | |a Yu, Charles |e VerfasserIn |4 aut | |
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