4.7 Article

A Novel, 5-Transcript, Whole-blood Gene-expression Signature for Tuberculosis Screening Among People Living With Human Immunodeficiency Virus

期刊

CLINICAL INFECTIOUS DISEASES
卷 69, 期 1, 页码 77-83

出版社

OXFORD UNIV PRESS INC
DOI: 10.1093/cid/ciy835

关键词

tuberculosis; HIV; screening

资金

  1. National Institutes of Health (NIH)/National Institute of Allergy and Infectious Diseases (NIAID) [K23 AI114363]
  2. University of California, San Francisco (UCSF)
  3. Gladstone Institute of Virology and Immunology (GIVI) Center for AIDS Research (CFAR
  4. NIH/NIAID) [P30 AI027763]
  5. UCSF Nina Ireland Program for Lung Health
  6. NIH/NIAID President's Emergency Plan for AIDS Relief Administrative Supplement award [P30 A120163]

向作者/读者索取更多资源

Background. Gene-expression profiles have been reported to distinguish between patients with and without active tuberculosis (TB), but no prior study has been conducted in the context of TB screening. Methods. We included all the patients (n = 40) with culture-confirmed TB and time-matched controls (n = 80) enrolled between July 2013 and April 2015 in a TB screening study among people living with human immunodeficiency virus (PLHIV) in Kampala, Uganda. We randomly split the patients into training (n = 80) and test (n = 40) datasets. We used the training dataset to derive candidate signatures that consisted of 1 to 5 differentially-expressed transcripts (P <= .10) and compared the performance of our candidate signatures with 4 published TB gene-expression signatures, both on the independent test dataset and in 2 external datasets. Results. We identified a novel, 5-transcript signature that met the accuracy thresholds recommended for a TB screening test. On the independent test dataset, our signature had an area under the curve (AUC) of 0.87 (95% confidence interval [CI] 0.72-0.98), with sensitivity of 94% and specificity of 75%. None of the 4 published TB signatures achieved desired accuracy thresholds. Our novel signature performed well in external datasets from both high (AUC 0.81, 95% CI 0.74-0.88) and low (0.81, 95% CI 0.77-0.85) TB burden settings. Conclusions. We identified the first gene-expression signature for TB screening. Our signature has the potential to be translated into a point-of-care test to facilitate systematic TB screening among PLHIV and other high-risk populations.

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