2022
The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis
Walker T, Miotto P, Köser C, Fowler P, Knaggs J, Iqbal Z, Hunt M, Chindelevitch L, Farhat M, Cirillo D, Comas I, Posey J, Omar S, Peto T, Suresh A, Uplekar S, Laurent S, Colman R, Nathanson C, Zignol M, Walker A, Crook D, Ismail N, Rodwell T, Consortium T, Walker A, Steyn A, Lalvani A, Baulard A, Christoffels A, Mendoza-Ticona A, Trovato A, Skrahina A, Lachapelle A, Brankin A, Piatek A, Cruz A, Koch A, Cabibbe A, Spitaleri A, Brandao A, Chaiprasert A, Suresh A, Barbova A, Van Rie A, Ghodousi A, Bainomugisa A, Mandal A, Roohi A, Javid B, Zhu B, Letcher B, Rodrigues C, Nimmo C, NATHANSON C, Duncan C, Coulter C, Utpatel C, Liu C, Grazian C, Kong C, Köser C, Wilson D, Cirillo D, Matias D, Jorgensen D, Zimenkov D, Chetty D, Moore D, Clifton D, Crook D, van Soolingen D, Liu D, Kohlerschmidt D, Barreira D, Ngcamu D, Lazaro E, Kelly E, Borroni E, Roycroft E, Andre E, Böttger E, Robinson E, Menardo F, Mendes F, Jamieson F, Coll F, Gao G, Kasule G, Rossolini G, Rodger G, Smith E, Meintjes G, Thwaites G, Hoffmann H, Albert H, Cox H, Laurenson I, Comas I, Arandjelovic I, Barilar I, Robledo J, Millard J, Johnston J, Posey J, Andrews J, Knaggs J, Gardy J, Guthrie J, Taylor J, Werngren J, Metcalfe J, Coronel J, Shea J, Carter J, Pinhata J, Kus J, Todt K, Holt K, Nilgiriwala K, Ghisi K, Malone K, Faksri K, Musser K, Joseph L, Rigouts L, Chindelevitch L, Jarrett L, Grandjean L, Ferrazoli L, Rodrigues M, Farhat M, Schito M, Fitzgibbon M, Loembé M, Wijkander M, Ballif M, Rabodoarivelo M, Mihalic M, WILCOX M, Hunt M, ZIGNOL M, Merker M, Egger M, O'Donnell M, Caws M, Wu M, Whitfield M, Inouye M, Mansjö M, Thi M, Joloba M, Kamal S, Okozi N, ISMAIL N, Mistry N, Hoang N, Rakotosamimanana N, Paton N, Rancoita P, Miotto P, Lapierre P, Hall P, Tang P, Claxton P, Wintringer P, Keller P, Thai P, Fowler P, Supply P, Srilohasin P, Suriyaphol P, Rathod P, Kambli P, Groenheit R, Colman R, Ong R, Warren R, Wilkinson R, Diel R, Oliveira R, Khot R, Jou R, Tahseen S, Laurent S, Gharbia S, Kouchaki S, Shah S, Plesnik S, Earle S, Dunstan S, Hoosdally S, Mitarai S, Gagneux S, Omar S, Yao S, Lapierre S, Battaglia S, Niemann S, Pandey S, Uplekar S, Halse T, Cohen T, Cortes T, Prammananan T, Kohl T, Thuong N, Teo T, Peto T, Rodwell T, William T, Walker T, Rogers T, Surve U, Mathys V, Furió V, Cook V, Vijay S, Escuyer V, Dreyer V, Sintchenko V, Saphonn V, Solano W, Lin W, van Gemert W, He W, Yang Y, Zhao Y, Qin Y, Xiao Y, Hasan Z, Iqbal Z, Puyen Z. The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis. The Lancet Microbe 2022, 3: e265-e273. PMID: 35373160, PMCID: PMC7612554, DOI: 10.1016/s2666-5247(21)00301-3.Peer-Reviewed Original ResearchConceptsConsistent with susceptibilityAssociated with resistancePhenotypic resistanceDrug susceptibility testingSusceptibility testingPositive predictive valueAssociated with phenotypic resistanceWhole-genome sequencingPrevalence of phenotypic resistanceMolecular diagnosticsDrug susceptibility testing dataUniversal drug susceptibility testingMutations associated with drug resistanceOdds ratioSusceptibility testing dataDrug resistance predictionImplementation of molecular diagnosticsBinary phenotypesPredictive valueGene approachMTBC isolatesUnique mutationsFisher's exact testAnti-tuberculosis drugsGenotype analysis
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
2017
Genomic 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
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 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
2013
Mycobacterium 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
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 ResearchConceptsCharacterization 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 mutationsModels to understand the population-level impact of mixed strain M. tuberculosis infections
Sergeev R, Colijn C, Cohen T. Models to understand the population-level impact of mixed strain M. tuberculosis infections. Journal Of Theoretical Biology 2011, 280: 88-100. PMID: 21514304, PMCID: PMC3111980, DOI: 10.1016/j.jtbi.2011.04.011.Peer-Reviewed Original ResearchConceptsDrug-resistant strainsMixed strain infectionsStrain infectionDrug-sensitive tuberculosisDrug-resistant tuberculosisM. tuberculosis infectionLower basic reproductive numberDrug-resistant infectionsTuberculosis patientsTuberculosis infectionTreatment successDrug-resistant bacteriaFuture burdenLong-term effectsStrain-specific differencesDrug resistanceInfectionPopulation-level impactTuberculosisM. tuberculosisMixed infectionsMycobacterium tuberculosisBasic reproductive numberCo-infected hostsSmall subpopulation
2004
Isoniazid Resistance and the Future of Drug-Resistant Tuberculosis
Cohen T, Becerra MC, Murray MB. Isoniazid Resistance and the Future of Drug-Resistant Tuberculosis. Microbial Drug Resistance 2004, 10: 280-285. PMID: 15650371, PMCID: PMC2652757, DOI: 10.1089/mdr.2004.10.280.Peer-Reviewed Original ResearchConceptsIsoniazid resistanceDrug resistanceDrug-resistant tuberculosisDrug-resistant casesResistance-conferring mutationsFrequency of resistanceMycobacterium tuberculosisAntibiotic resistancePrudent useTuberculosisDeleterious effectsReproductive potentialChromosomal mutationsMutationsSpecific measuresPrevalence