@article{23f7958b8acf4a718d30754af7ba78e0,
title = "Existing blood transcriptional classifiers accurately discriminate active tuberculosis from latent infection in individuals from south India",
abstract = "Several studies have identified blood transcriptomic signatures that can distinguish active from latent Tuberculosis (TB). The purpose of this study was to assess how well these existing gene profiles classify TB disease in a South Indian population. RNA sequencing was performed on whole blood PAXgene samples collected from 28 TB patients and 16 latently TB infected (LTBI) subjects enrolled as part of an ongoing household contact study. Differential gene expression and clustering analyses were performed and compared with explicit predictive testing of TB and LTBI individuals based on established gene signatures. We observed strong predictive performance of TB disease states based on expression of known gene sets (ROC AUC 0.9007–0.9879). Together, our findings indicate that previously reported classifiers generated from different ethnic populations can accurately discriminate active TB from LTBI in South Indian patients. Future work should focus on converting existing gene signatures into a universal TB gene signature for diagnosis, monitoring TB treatment, and evaluating new drug regimens.",
keywords = "Biomarker, Diagnostic, Gene signature, Tuberculosis",
author = "Samantha Leong and Yue Zhao and Joseph, {Noyal M.} and Hochberg, {Natasha S.} and Sonali Sarkar and Jane Pleskunas and David Hom and Subitha Lakshminarayanan and Horsburgh, {C. Robert} and Gautam Roy and Ellner, {Jerrold J.} and Johnson, {W. Evan} and Padmini Salgame",
note = "Funding Information: This publication is based on work supported by Award No. USB1-31150-XX-13 of the U.S. Civilian Research & Development Foundation (CRDF Global), Department of Biotechnology BT/PR8941/MED/15/108/2013 and by the National Science Foundation under Cooperative Agreement No. OISE-9531011 . Funding Information: We thank all of the participants who made the study possible. We also acknowledge the dedication and hard work of the field staff and study team. We thank Rachel Kubiak and Astrid Loomans for help with data management, and Laura White for help with statistics. This work was performed under the auspices of the RePORT India Program. We wish to acknowledge the support of Sudha Srinivasan and Peter Kim from DAIDS/NIAID/NIH and Jyoti M. Logani from Department of Biotechnology, Ministry of Science and Technology, Government of India . Appendix A Funding Information: We thank all of the participants who made the study possible. We also acknowledge the dedication and hard work of the field staff and study team. We thank Rachel Kubiak and Astrid Loomans for help with data management, and Laura White for help with statistics. This work was performed under the auspices of the RePORT India Program. We wish to acknowledge the support of Sudha Srinivasan and Peter Kim from DAIDS/NIAID/NIH and Jyoti M. Logani from Department of Biotechnology, Ministry of Science and Technology, Government of India. Publisher Copyright: {\textcopyright} 2018 Elsevier Ltd",
year = "2018",
month = mar,
doi = "10.1016/j.tube.2018.01.002",
language = "English (US)",
volume = "109",
pages = "41--51",
journal = "Bulletin of the International Union Against Tuberculosis and Lung Disease",
issn = "1472-9792",
publisher = "Churchill Livingstone",
}