| Literature DB >> 28904183 |
Alex Rosenthal1, Andrei Gabrielian2, Eric Engle2, Darrell E Hurt2, Sofia Alexandru3, Valeriu Crudu3, Eugene Sergueev4, Valery Kirichenko4, Vladzimir Lapitskii4, Eduard Snezhko4, Vassili Kovalev4, Andrei Astrovko5, Alena Skrahina5, Jessica Taaffe2, Michael Harris2, Alyssa Long2, Kurt Wollenberg2, Irada Akhundova6, Sharafat Ismayilova6, Aliaksandr Skrahin7, Elcan Mammadbayov6, Hagigat Gadirova6, Rafik Abuzarov6, Mehriban Seyfaddinova6, Zaza Avaliani8, Irina Strambu9, Dragos Zaharia9, Alexandru Muntean9, Eugenia Ghita9, Miron Bogdan9, Roxana Mindru9, Victor Spinu9, Alexandra Sora9, Catalina Ene9, Sergo Vashakidze8, Natalia Shubladze8, Ucha Nanava8, Alexander Tuzikov4, Michael Tartakovsky2.
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/.Entities:
Keywords: MDR-TB; Mycobacterium tuberculosis; XDR-TB; digital health; drug-resistant TB; interactive portals; query; tuberculosis
Mesh:
Year: 2017 PMID: 28904183 PMCID: PMC5654911 DOI: 10.1128/JCM.01013-17
Source DB: PubMed Journal: J Clin Microbiol ISSN: 0095-1137 Impact factor: 5.948