Thakur, C and Tripathi, A and Ravichandran, S and Shivananjaiah, A and Chakraborty, A and Varadappa, S and Chikkavenkatappa, N and Nagarajan, D and Lakshminarasimhaiah, S and Singh, A and Chandra, N (2022) A new blood-based RNA signature (R9), for monitoring effectiveness of tuberculosis treatment in a South Indian longitudinal cohort. In: iScience, 25 (2).
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Abstract
Tuberculosis (TB) treatment involves a multidrug regimen for six months, and until two months, it is unclear if treatment is effective. This delay can lead to the evolution of drug resistance, lung damage, disease spread, and transmission. We identify a blood-based 9-gene signature using a computational pipeline that constructs and interrogates a genome-wide transcriptome-integrated protein-interaction network. The identified signature is able to determine treatment response at week 1�2 in three independent public datasets. Signature-based R9-score correctly detected treatment response at individual timepoints (204 samples) from a newly developed South Indian longitudinal cohort involving 32 patients with pulmonary TB. These results are consistent with conventional clinical metrics and can discriminate good from poor treatment responders at week 2 (AUC 0.93(0.81�1.00)). In this work, we provide proof of concept that the R9-score can determine treatment effectiveness, making a case for designing a larger clinical study. © 2022
| Item Type: | Journal Article |
|---|---|
| Publication: | iScience |
| Publisher: | Elsevier Inc. |
| Additional Information: | The copyright for this article belongs to Authors |
| Department/Centre: | Division of Biological Sciences > Biochemistry Division of Biological Sciences > Microbiology & Cell Biology Division of Biological Sciences > Centre for Infectious Disease Research Division of Interdisciplinary Sciences > Centre for Biosystems Science and Engineering Division of Physical & Mathematical Sciences > Mathematics |
| Date Deposited: | 16 Mar 2022 06:04 |
| Last Modified: | 16 Mar 2022 06:04 |
| URI: | http://eprints.iisc.ac.in/id/eprint/71319 |
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