Aliaksandr Skrahin

Autologous mesenchymal stromal cell infusion as adjunct treatment in patients with multidrug and extensively drug-resistant tuberculosis: an open-label phase 1 safety trial.

BACKGROUND Novel treatment options are urgently needed for multidrug-resistant (MDR) and extensively drug-resistant (XDR) tuberculosis, which are associated with immune dysfunction and poor treatment outcomes. Mesenchymal stromal cells (MSCs) are immunomodulatory and adjunct autologous treatment with bone marrow-derived MSCs might improve clinical outcome by transforming chronic inflammation into productive immune responses. Our aim was to assess the safety of infusion of autologous MSCs as an adjunct treatment in patients with tuberculosis. METHODS 30 patients with microbiologically confirmed MDR or XDR tuberculosis were treated with single-dose autologous bone marrow-derived MSCs (aimed for 1×10(6) cells per kg), within 4 weeks of the start of antituberculosis-drug treatment in a specialist centre in Minsk, Belarus. Inclusion patients were those with pulmonary tuberculosis confirmed by sputum smear microscopy, culture, or both; MDR or XDR tuberculosis confirmed by drug-susceptibility testing to first-line and second-line drugs; age older than 21 years to 65 years or younger; and absence of lesion compatible with a malignant process or ongoing tuberculosis in organs other than the lungs and pleura. In addition to the inclusion criteria, patients were excluded if they were pregnant, coinfected with HIV, or infected with hepatitis B, C, or both. The primary endpoint was safety measured by MSC-infusion related events; any tuberculosis-related event within the 6 month observation period that related to a worsening of the underlying infectious disease, measured by conversion of Mycobacterium tuberculosis culture or microscopic examination; or any adverse event defined clinically or by changes in blood haematology and biochemistry variables, measured monthly for 6 months after MSC infusion per protocol. This study is registered with the German Clinical Trials Registry, number DRKS00000763. FINDINGS The most common (grade 1 or 2) adverse events were high cholesterol levels (14 of 30 patients), nausea (11 of 30 patients), and lymphopenia or diarrhoea (ten of 30 patients). There were no serious adverse events reported. We recorded two grade 3 events that were transitory-ie, increased plasma potassium ion concentrations in one patient and a transitory grade 3 γ-glutamyltransferase elevation in another patient. INTERPRETATION MSCs as an adjunct therapy are safe and can now be explored further for the treatment of patients with MDR or XDR tuberculosis in combination with standard drug regimens. Adjunct treatment with MSCs needs to be evaluated in controlled phase 2 trials to assess effects on immune responses and clinical and microbiological outcomes.

Whole-Genome Sequencing of Mycobacterium tuberculosis Provides Insight into the Evolution and Genetic Composition of Drug-Resistant Tuberculosis in Belarus

ABSTRACT The emergence and spread of drug-resistant Mycobacterium tuberculosis (DR-TB) are critical global health issues. Eastern Europe has some of the highest incidences of DR-TB, particularly multidrug-resistant (MDR) and extensively drug-resistant (XDR) TB. To better understand the genetic composition and evolution of MDR- and XDR-TB in the region, we sequenced and analyzed the genomes of 138 M. tuberculosis isolates from 97 patients sampled between 2010 and 2013 in Minsk, Belarus. MDR and XDR-TB isolates were significantly more likely to belong to the Beijing lineage than to the Euro-American lineage, and known resistance-conferring loci accounted for the majority of phenotypic resistance to first- and second-line drugs in MDR and XDR-TB. Using a phylogenomic approach, we estimated that the majority of MDR-TB was due to the recent transmission of already-resistant M. tuberculosis strains rather than repeated de novo evolution of resistance within patients, while XDR-TB was acquired through both routes. Longitudinal sampling of M. tuberculosis from 34 patients with treatment failure showed that most strains persisted genetically unchanged during treatment or acquired resistance to fluoroquinolones. HIV+ patients were significantly more likely to have multiple infections over time than HIV− patients, highlighting a specific need for careful infection control in these patients. These data provide a better understanding of the genomic composition, transmission, and evolution of MDR- and XDR-TB in Belarus and will enable improved diagnostics, treatment protocols, and prognostic decision-making.

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

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/ .