2022
Phylogeography and transmission of M. tuberculosis in Moldova: A prospective genomic analysis
Yang C, Sobkowiak B, Naidu V, Codreanu A, Ciobanu N, Gunasekera KS, Chitwood MH, Alexandru S, Bivol S, Russi M, Havumaki J, Cudahy P, Fosburgh H, Allender CJ, Centner H, Engelthaler DM, Menzies NA, Warren JL, Crudu V, Colijn C, Cohen T. Phylogeography and transmission of M. tuberculosis in Moldova: A prospective genomic analysis. PLOS Medicine 2022, 19: e1003933. PMID: 35192619, PMCID: PMC8903246, DOI: 10.1371/journal.pmed.1003933.Peer-Reviewed Original ResearchConceptsMultidrug-resistant tuberculosisDrug-resistant M. tuberculosisM. tuberculosis strainsPutative transmission clustersM. tuberculosisTransmission clustersMultidrug-resistant M. tuberculosis strainsTuberculosis strainsMultiple M. tuberculosis strainsCulture-positive TB casesLocal transmissionMDR-TB epidemicDrug-susceptible tuberculosisDrug resistance mutationsDrug resistance profilesUrgency of interventionTB casesDemographic dataNew casesTuberculosisInadequate treatmentNatural historyResistance mutationsBeijing lineageMycobacterium tuberculosis
2021
Evolution and emergence of multidrug-resistant Mycobacterium tuberculosis in Chisinau, Moldova
Brown TS, Eldholm V, Brynildsrud O, Osnes M, Levy N, Stimson J, Colijn C, Alexandru S, Noroc E, Ciobanu N, Crudu V, Cohen T, Mathema B. Evolution and emergence of multidrug-resistant Mycobacterium tuberculosis in Chisinau, Moldova. Microbial Genomics 2021, 7: 000620. PMID: 34431762, PMCID: PMC8549355, DOI: 10.1099/mgen.0.000620.Peer-Reviewed Original ResearchConceptsDrug-resistant TB casesMultidrug-resistant Mycobacterium tuberculosisDrug-resistant tuberculosisDrug resistance mutationsPopulation size expansionPublic health practiceSoviet UnionSocial turmoilTB patientsTB casesTB controlRepublic of MoldovaInpatient hospitalizationMigration historyInpatient treatmentEastern EuropeNational guidelinesEpidemiological historyResistance mutationsHealth practicesGenomic surveillance effortsCapital cityMycobacterium tuberculosisTuberculosisMoldova
2020
Drug-target binding quantitatively predicts optimal antibiotic dose levels in quinolones
Clarelli F, Palmer A, Singh B, Storflor M, Lauksund S, Cohen T, Abel S, Wiesch P. Drug-target binding quantitatively predicts optimal antibiotic dose levels in quinolones. PLOS Computational Biology 2020, 16: e1008106. PMID: 32797079, PMCID: PMC7449454, DOI: 10.1371/journal.pcbi.1008106.Peer-Reviewed Original ResearchConceptsDose levelsAntibiotic efficacyDrug-target bindingDose-response relationshipBeta-lactams ampicillinTime-kill curvesDose-response curveNovel resistance mutationsMeasurable biochemical parametersClinical isolatesAntibiotic dose-response curvesAntibiotic actionResistance mutationsBiochemical parameters
2015
Fitness Costs of Drug Resistance Mutations in Multidrug-Resistant Mycobacterium tuberculosis: A Household-Based Case-Control Study
Salvatore PP, Becerra MC, Wiesch P, Hinkley T, Kaur D, Sloutsky A, Cohen T. Fitness Costs of Drug Resistance Mutations in Multidrug-Resistant Mycobacterium tuberculosis: A Household-Based Case-Control Study. The Journal Of Infectious Diseases 2015, 213: 149-155. PMID: 26092854, PMCID: PMC4676541, DOI: 10.1093/infdis/jiv347.Peer-Reviewed Original ResearchConceptsDrug resistance mutationsCase-control studyKatG Ser315Thr mutationMDR strainsMultiple case householdsResistance mutationsDrug resistance-associated mutationsMycobacterium tuberculosisMultidrug-resistant Mycobacterium tuberculosisSecondary household casesSer315Thr mutationMDR M. tuberculosisMultidrug-resistant tuberculosisMDR Mycobacterium tuberculosisResistance-associated polymorphismsLong-term prevalenceResistance-associated mutationsVivo fitness costsCase-control designEpidemiologic studiesHousehold casesTuberculosisExperimental modelM. tuberculosisMutations