2024
The recent rapid expansion of multidrug resistant Ural lineage Mycobacterium tuberculosis in Moldova
Chitwood M, Colijn C, Yang C, Crudu V, Ciobanu N, Codreanu A, Kim J, Rancu I, Rhee K, Cohen T, Sobkowiak B. The recent rapid expansion of multidrug resistant Ural lineage Mycobacterium tuberculosis in Moldova. Nature Communications 2024, 15: 2962. PMID: 38580642, PMCID: PMC10997638, DOI: 10.1038/s41467-024-47282-9.Peer-Reviewed Original ResearchMeSH KeywordsAntitubercular AgentsDrug Resistance, Multiple, BacterialGenotypeHumansMoldovaMycobacterium tuberculosisTuberculosis, Multidrug-ResistantConceptsMDR M. tuberculosisGenome sequenceResistance-conferring mutationsBeijing sublineageMDR strainsReproductive fitnessBeijing strainsCulture-positive casesLineagesMtb strainsMultidrug-resistant tuberculosisMDRMtbStrainMDR-TBMutationsResistant tuberculosisMDR-MTBSubstantial riskSublineagesTuberculosisSequenceIdentifying local foci of tuberculosis transmission in Moldova using a spatial multinomial logistic regression model
Lan Y, Crudu V, Ciobanu N, Codreanu A, Chitwood M, Sobkowiak B, Warren J, Cohen T. Identifying local foci of tuberculosis transmission in Moldova using a spatial multinomial logistic regression model. EBioMedicine 2024, 102: 105085. PMID: 38531172, PMCID: PMC10987885, DOI: 10.1016/j.ebiom.2024.105085.Peer-Reviewed Original ResearchMeSH KeywordsAntitubercular AgentsBayes TheoremDrug Resistance, Multiple, BacterialGenotypeHumansLogistic ModelsMoldovaMycobacterium tuberculosisTuberculosisTuberculosis, Multidrug-ResistantConceptsPatterns of spatial aggregationMtb strainsMDR-TBLogistic regression modelsGenome Epidemiology StudySpecific strainsMultidrug-resistant tuberculosisTreated TB casesNational Institute of AllergyMDR phenotypeRegression modelsM. tuberculosisInstitute of AllergyMultinomial logistic regression modelUS National Institutes of HealthNational Institutes of HealthMDR diseasePublic health concernAssociated with local transmissionIncident TBInstitutes of HealthMtbResistant tuberculosisStrainDiagnosing TB
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 ResearchMeSH KeywordsAntitubercular AgentsDrug Resistance, Multiple, BacterialGenotypeHumansMoldovaMycobacterium tuberculosisPhylogenyPhylogeographyProspective StudiesTuberculosisTuberculosis, Multidrug-ResistantConceptsMultidrug-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 ResearchMeSH KeywordsBayes TheoremDrug Resistance, Multiple, BacterialEvolution, MolecularFemaleGenomicsHumansMaleMoldovaMolecular EpidemiologyMutationMycobacterium tuberculosisPhylogenyPrevalenceTuberculosis, Multidrug-ResistantWhole Genome SequencingConceptsDrug-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
2017
A Multistrain Mathematical Model To Investigate the Role of Pyrazinamide in the Emergence of Extensively Drug-Resistant Tuberculosis
Fofana MO, Shrestha S, Knight GM, Cohen T, White RG, Cobelens F, Dowdy DW. A Multistrain Mathematical Model To Investigate the Role of Pyrazinamide in the Emergence of Extensively Drug-Resistant Tuberculosis. Antimicrobial Agents And Chemotherapy 2017, 61: 10.1128/aac.00498-16. PMID: 27956422, PMCID: PMC5328532, DOI: 10.1128/aac.00498-16.Peer-Reviewed Original ResearchMeSH KeywordsAntitubercular AgentsBayes TheoremBiological AvailabilityComputer SimulationDrug Administration ScheduleDrug Resistance, Multiple, BacterialExtensively Drug-Resistant TuberculosisFluoroquinolonesHumansMicrobial Sensitivity TestsModels, StatisticalMycobacterium tuberculosisPyrazinamideRifampinTuberculosis, PulmonaryConceptsCompanion drugsExtensively Drug-Resistant TuberculosisSecond-line treatmentFirst-line treatmentSecond-line regimensDrug-resistant tuberculosisUse of pyrazinamideExtensive drug resistanceDrug resistance dataEmergence of strainsEmergence of mutationsXDR-TBSequential regimensHIV infectionAlternative drugsResistance amplificationPyrazinamide resistanceProlonged treatmentCombination antimicrobialsDrug resistanceInfectious diseasesPrevalenceProportion of simulationsAppropriate useRegimensGenomic analysis of globally diverse Mycobacterium tuberculosis strains provides insights into the emergence and spread of multidrug resistance
Manson AL, Cohen KA, Abeel T, Desjardins CA, Armstrong DT, Barry CE, Brand J, Chapman S, Cho S, Gabrielian A, Gomez J, Jodals A, Joloba M, Jureen P, Lee J, Malinga L, Maiga M, Nordenberg D, Noroc E, Romancenco E, Salazar A, Ssengooba W, Velayati A, Winglee K, Zalutskaya A, Via L, Cassell G, Dorman S, Ellner J, Farnia P, Galagan J, Rosenthal A, Crudu V, Homorodean D, Hsueh P, Narayanan S, Pym A, Skrahina A, Swaminathan S, Van der Walt M, Alland D, Bishai W, Cohen T, Hoffner S, Birren B, Earl A. Genomic analysis of globally diverse Mycobacterium tuberculosis strains provides insights into the emergence and spread of multidrug resistance. Nature Genetics 2017, 49: 395-402. PMID: 28092681, PMCID: PMC5402762, DOI: 10.1038/ng.3767.Peer-Reviewed Original Research
2016
Use of Lot Quality Assurance Sampling to Ascertain Levels of Drug Resistant Tuberculosis in Western Kenya
Jezmir J, Cohen T, Zignol M, Nyakan E, Hedt-Gauthier BL, Gardner A, Kamle L, Injera W, Carter EJ. Use of Lot Quality Assurance Sampling to Ascertain Levels of Drug Resistant Tuberculosis in Western Kenya. PLOS ONE 2016, 11: e0154142. PMID: 27167381, PMCID: PMC4864281, DOI: 10.1371/journal.pone.0154142.Peer-Reviewed Original ResearchConceptsMDR-TBDrug resistanceResistant tuberculosisLot Quality Assurance Sampling methodologyMulti-drug resistant tuberculosisPositive TB patientsDrug resistance surveillanceDrug-resistant tuberculosisTB drug resistanceRural settingsPoly-resistant strainsTB patientsWestern KenyaLot Quality AssuranceLow prevalencePatientsResistance surveillancePrevalenceTuberculosisLQASSettingLow levelsDifferent geographic settingsUrban settingsLevels
2015
The Distribution of Fitness Costs of Resistance-Conferring Mutations Is a Key Determinant for the Future Burden of Drug-Resistant Tuberculosis: A Model-Based Analysis
Knight GM, Colijn C, Shrestha S, Fofana M, Cobelens F, White RG, Dowdy DW, Cohen T. The Distribution of Fitness Costs of Resistance-Conferring Mutations Is a Key Determinant for the Future Burden of Drug-Resistant Tuberculosis: A Model-Based Analysis. Clinical Infectious Diseases 2015, 61: s147-s154. PMID: 26409276, PMCID: PMC4583567, DOI: 10.1093/cid/civ579.Peer-Reviewed Original ResearchFitness 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 ResearchMeSH KeywordsAdultCase-Control StudiesDrug Resistance, Multiple, BacterialFamily CharacteristicsFemaleGenetic FitnessHumansMaleMolecular EpidemiologyMutationMycobacterium tuberculosisPeruTuberculosis, Multidrug-ResistantConceptsDrug 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. tuberculosisMutationsOrigin and Proliferation of Multiple-Drug Resistance in Bacterial Pathogens
Chang HH, Cohen T, Grad YH, Hanage WP, O'Brien TF, Lipsitch M. Origin and Proliferation of Multiple-Drug Resistance in Bacterial Pathogens. Microbiology And Molecular Biology Reviews 2015, 79: 101-116. PMID: 25652543, PMCID: PMC4402963, DOI: 10.1128/mmbr.00039-14.Peer-Reviewed Original ResearchMeSH KeywordsAnti-Bacterial AgentsBacteriaBacterial InfectionsDrug Resistance, Multiple, BacterialHost-Pathogen InteractionsHumansConceptsMDR infectionsPublic health threatMultiple drug resistanceHigh prevalenceMore effective interventionsDifferent underlying mechanismsMultidrug resistanceEffective interventionsHealth threatUnderlying mechanismInfectionBacterial pathogensMDRCommon mechanismDifferent pathogensProliferationPathogensPrevalenceHypothetical mechanism
2014
High risk and rapid appearance of multidrug resistance during tuberculosis treatment in Moldova.
Jenkins HE, Crudu V, Soltan V, Ciobanu A, Domente L, Cohen T. High risk and rapid appearance of multidrug resistance during tuberculosis treatment in Moldova. European Respiratory Journal 2014, 43: 1132-41. PMID: 24558181, PMCID: PMC4005038, DOI: 10.1183/09031936.00203613.Peer-Reviewed Original ResearchMeSH KeywordsAdultCoinfectionDrug Resistance, Multiple, BacterialFemaleHIV InfectionsHumansMaleMiddle AgedMoldovaPrevalenceRisk FactorsTime FactorsTreatment OutcomeTuberculosisTuberculosis, Multidrug-ResistantConceptsMultidrug-resistant tuberculosisMDR-TB diagnosisMDR-TB casesTB treatmentFirst-line TB drugsAmbulatory TB treatmentMDR-TB riskDrug susceptibility testingNosocomial transmissionInitial diagnosisPercentage of individualsTB drugsTuberculosis treatmentEarly treatmentHigh riskSputum specimensSurveillance databasePrevious incarcerationDrug resistanceMultidrug resistanceDiagnosisTreatmentBaseline resistanceRapid appearanceRisk
2013
Treatment outcome of multi-drug resistant tuberculosis in the United Kingdom: retrospective-prospective cohort study from 2004 to 2007.
Anderson LF, Tamne S, Watson JP, Cohen T, Mitnick C, Brown T, Drobniewski F, Abubakar I. Treatment outcome of multi-drug resistant tuberculosis in the United Kingdom: retrospective-prospective cohort study from 2004 to 2007. Eurosurveillance 2013, 18 PMID: 24128699, DOI: 10.2807/1560-7917.es2013.18.40.20601.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAntibiotics, AntitubercularAntitubercular AgentsChildChild, PreschoolDrug Resistance, Multiple, BacterialFemaleFluoroquinolonesHumansInfantInfant, NewbornMaleMicrobial Sensitivity TestsMiddle AgedMycobacterium tuberculosisPatient ComplianceProspective StudiesRetrospective StudiesSurveys and QuestionnairesTreatment OutcomeTuberculosis, Multidrug-ResistantUnited KingdomYoung AdultConceptsMultidrug-resistant tuberculosisTreatment outcomesRetrospective-prospective cohort studyWorld Health Organization targetMulti-drug resistant tuberculosisMDR-TB patientsMDR-TB treatmentMDR-TB casesFurther drug resistanceTreatment completion ratesSuccessful treatment outcomeUnited Kingdom guidelinesIndividualised regimensCohort studyMonths treatmentResistant tuberculosisTreatment completionInfectious casesDrug resistanceDrug sensitivitySuccessful outcomeOrganization targetBacteriostatic drugsOutcomesTreatmentMycobacterium tuberculosis mutation rate estimates from different lineages predict substantial differences in the emergence of drug-resistant tuberculosis
Ford CB, Shah RR, Maeda MK, Gagneux S, Murray MB, Cohen T, Johnston JC, Gardy J, Lipsitch M, Fortune SM. Mycobacterium tuberculosis mutation rate estimates from different lineages predict substantial differences in the emergence of drug-resistant tuberculosis. Nature Genetics 2013, 45: 784-790. PMID: 23749189, PMCID: PMC3777616, DOI: 10.1038/ng.2656.Peer-Reviewed Original Research
2012
Use of Spatial Information to Predict Multidrug Resistance in Tuberculosis Patients, Peru - Volume 18, Number 5—May 2012 - Emerging Infectious Diseases journal - CDC
Lin HH, Shin SS, Contreras C, Asencios L, Paciorek CJ, Cohen T. Use of Spatial Information to Predict Multidrug Resistance in Tuberculosis Patients, Peru - Volume 18, Number 5—May 2012 - Emerging Infectious Diseases journal - CDC. Emerging Infectious Diseases 2012, 18: 811-813. PMID: 22516236, PMCID: PMC3358052, DOI: 10.3201/eid1805.111467.Peer-Reviewed Original ResearchMeSH KeywordsAntitubercular AgentsDemographyDrug Resistance, Multiple, BacterialHumansLogistic ModelsPeruPrognosisRisk FactorsROC CurveTuberculosis, Multidrug-ResistantIdentifying multidrug resistant tuberculosis transmission hotspots using routinely collected data
Manjourides J, Lin HH, Shin S, Jeffery C, Contreras C, Santa Cruz J, Jave O, Yagui M, Asencios L, Pagano M, Cohen T. Identifying multidrug resistant tuberculosis transmission hotspots using routinely collected data. Tuberculosis 2012, 92: 273-279. PMID: 22401962, PMCID: PMC3323731, DOI: 10.1016/j.tube.2012.02.003.Peer-Reviewed Original ResearchConceptsDrug sensitivity testTransmission hotspotsRetreatment casesDrug-resistant tuberculosis epidemicRisk of MDRTime of diagnosisDrug-resistant diseaseTB casesResistant diseaseTuberculosis epidemicHigh riskUntreated casesProgrammatic dataMDRTBRiskMDRHigh levelsTargeted investigationGeographic areasCasesDiseaseDiagnosisSensitivity testsMultidrug Resistance Among New Tuberculosis Cases
Hedt BL, van Leth F, Zignol M, Cobelens F, van Gemert W, Nhung NV, Lyepshina S, Egwaga S, Cohen T. Multidrug Resistance Among New Tuberculosis Cases. Epidemiology 2012, 23: 293-300. PMID: 22249242, PMCID: PMC3276714, DOI: 10.1097/ede.0b013e3182459455.Peer-Reviewed Original ResearchMeSH KeywordsAntitubercular AgentsDrug Resistance, Multiple, BacterialGeographyHumansLot Quality Assurance SamplingMicrobial Sensitivity TestsMycobacterium tuberculosisPrevalenceTanzaniaTuberculosis, PulmonaryUkraineVietnam
2011
Bayesian methods for fitting mixture models that characterize branching tree processes: An application to development of resistant TB strains
Izu A, Cohen T, Mitnick C, Murray M, De Gruttola V. Bayesian methods for fitting mixture models that characterize branching tree processes: An application to development of resistant TB strains. Statistics In Medicine 2011, 30: 2708-2720. PMID: 21717491, PMCID: PMC3219798, DOI: 10.1002/sim.4287.Peer-Reviewed Original ResearchMeSH KeywordsAnti-Bacterial AgentsBayes TheoremComputer SimulationDrug Resistance, Multiple, BacterialHumansModels, GeneticModels, StatisticalMutationMycobacterium tuberculosisTuberculosisConceptsCharacterization of uncertaintyBayesian approachBayesian methodsBranching tree modelStatistical methodsMixture modelBranching treeNatural wayPrior informationDrug resistance-conferring mutationsSuch cross-sectional dataDrug-resistant TBResistant TB strainsCombination of antibioticsDrug resistance mutationsMeasurement errorResistance-conferring mutationsTB strainsSingle patientTreatment policyPatientsMultiple drugsDiagnostic specimensCross-sectional dataGenetic mutations
2004
Modeling epidemics of multidrug-resistant M. tuberculosis of heterogeneous fitness
Cohen T, Murray M. Modeling epidemics of multidrug-resistant M. tuberculosis of heterogeneous fitness. Nature Medicine 2004, 10: 1117-1121. PMID: 15378056, PMCID: PMC2652755, DOI: 10.1038/nm1110.Peer-Reviewed Original ResearchMeSH KeywordsDisease OutbreaksDrug Resistance, Multiple, BacterialGlobal HealthHumansModels, BiologicalMycobacterium tuberculosisSpecies SpecificityTime FactorsTuberculosis, Multidrug-ResistantConceptsDrug-sensitive strainsMDR strainsMultidrug resistanceMultidrug-resistant M. tuberculosisM. tuberculosisMultidrug-resistant tuberculosisTuberculosis control effortsEmergence of resistanceTB controlFuture burdenMDR diseaseMDRTB strainsEpidemiological measuresTuberculosisMDRSmall subpopulationMDRTBControl programsBurdenSingle locus mutationsSequential acquisitionDisease
2003
The effect of drug resistance on the fitness of Mycobacterium tuberculosis
Cohen T, Sommers B, Murray M. The effect of drug resistance on the fitness of Mycobacterium tuberculosis. The Lancet Infectious Diseases 2003, 3: 13-21. PMID: 12505028, DOI: 10.1016/s1473-3099(03)00483-3.Peer-Reviewed Original ResearchMeSH KeywordsAntitubercular AgentsCluster AnalysisDrug Resistance, Multiple, BacterialHumansMolecular EpidemiologyMycobacterium tuberculosisPrevalenceTuberculosis