کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8485151 | 1551698 | 2018 | 31 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Existing blood transcriptional classifiers accurately discriminate active tuberculosis from latent infection in individuals from south India
ترجمه فارسی عنوان
در حال حاضر رده بندی های خون رونویسی دقیقا سلول فعال را از عفونت پنهان در افراد جنوب هند تشخیص می دهد
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کلمات کلیدی
بیماری سل، بیومارکر، امضای ژن، تشخیص،
موضوعات مرتبط
علوم زیستی و بیوفناوری
ایمنی شناسی و میکروب شناسی
میکروبیولوژی و بیوتکنولوژی کاربردی
چکیده انگلیسی
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 28â¯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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Tuberculosis - Volume 109, March 2018, Pages 41-51
Journal: Tuberculosis - Volume 109, March 2018, Pages 41-51
نویسندگان
Samantha Leong, Yue Zhao, Noyal M. Joseph, Natasha S. Hochberg, Sonali Sarkar, Jane Pleskunas, David Hom, Subitha Lakshminarayanan, C. Robert Jr., Gautam Roy, Jerrold J. Ellner, W. Evan Johnson, Padmini Salgame,