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The TB Portals: an Open-Access, Web-Based Platform for Global Drug-Resistant-Tuberculosis Data Sharing and Analysis.

Authors :
Rosenthal A
Gabrielian A
Engle E
Hurt DE
Alexandru S
Crudu V
Sergueev E
Kirichenko V
Lapitskii V
Snezhko E
Kovalev V
Astrovko A
Skrahina A
Taaffe J
Harris M
Long A
Wollenberg K
Akhundova I
Ismayilova S
Skrahin A
Mammadbayov E
Gadirova H
Abuzarov R
Seyfaddinova M
Avaliani Z
Strambu I
Zaharia D
Muntean A
Ghita E
Bogdan M
Mindru R
Spinu V
Sora A
Ene C
Vashakidze S
Shubladze N
Nanava U
Tuzikov A
Tartakovsky M
Source :
Journal of clinical microbiology [J Clin Microbiol] 2017 Nov; Vol. 55 (11), pp. 3267-3282. Date of Electronic Publication: 2017 Sep 13.
Publication Year :
2017

Abstract

The TB Portals program is an international consortium of physicians, radiologists, and microbiologists from countries with a heavy burden of drug-resistant tuberculosis working with data scientists and information technology professionals. Together, we have built the TB Portals, a repository of socioeconomic/geographic, clinical, laboratory, radiological, and genomic data from patient cases of drug-resistant tuberculosis backed by shareable, physical samples. Currently, there are 1,299 total cases from five country sites (Azerbaijan, Belarus, Moldova, Georgia, and Romania), 976 (75.1%) of which are multidrug or extensively drug resistant and 38.2%, 51.9%, and 36.3% of which contain X-ray, computed tomography (CT) scan, and genomic data, respectively. The top Mycobacterium tuberculosis lineages represented among collected samples are Beijing, T1, and H3, and single nucleotide polymorphisms (SNPs) that confer resistance to isoniazid, rifampin, ofloxacin, and moxifloxacin occur the most frequently. These data and samples have promoted drug discovery efforts and research into genomics and quantitative image analysis to improve diagnostics while also serving as a valuable resource for researchers and clinical providers. The TB Portals database and associated projects are continually growing, and we invite new partners and collaborations to our initiative. The TB Portals data and their associated analytical and statistical tools are freely available at https://tbportals.niaid.nih.gov/.

Details

Language :
English
ISSN :
1098-660X
Volume :
55
Issue :
11
Database :
MEDLINE
Journal :
Journal of clinical microbiology
Publication Type :
Academic Journal
Accession number :
28904183
Full Text :
https://doi.org/10.1128/JCM.01013-17