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J Clin Microbiol. 2017 Nov;55(11):3267-3282. doi: 10.1128/JCM.01013-17. Epub 2017 Sep 13.

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

Author information

1
Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA alexr@niaid.nih.gov.
2
Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA.
3
Phthysiopneumology Institute, Ministry of Health, Chisinau, Republic of Moldova.
4
United Institute of Informatics Problems, National Academy of Sciences of Belarus, Minsk, Republic of Belarus.
5
Republican Scientific and Practical Centre of Pulmonology and Tuberculosis, Ministry of Health, Minsk, Republic of Belarus.
6
Scientific Research Institute of Lung Diseases, Ministry of Health, Baku, Republic of Azerbaijan.
7
Belarusian State Medical University, Minsk, Republic of Belarus.
8
The National Center for Tuberculosis and Lung Diseases, Tbilisi, Republic of Georgia.
9
Marius Nasta Pneumophtisiology Institute, Ministry of Health, Bucharest, Romania.

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/.

KEYWORDS:

MDR-TB; Mycobacterium tuberculosis; XDR-TB; digital health; drug-resistant TB; interactive portals; query; tuberculosis

PMID:
28904183
PMCID:
PMC5654911
DOI:
10.1128/JCM.01013-17
[Indexed for MEDLINE]
Free PMC Article

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