2023
Early cellular and molecular signatures correlate with severity of West Nile virus infection
Lee H, Zhao Y, Fleming I, Mehta S, Wang X, Vander Wyk B, Ronca S, Kang H, Chou C, Fatou B, Smolen K, Levy O, Clish C, Xavier R, Steen H, Hafler D, Love J, Shalek A, Guan L, Murray K, Kleinstein S, Montgomery R. Early cellular and molecular signatures correlate with severity of West Nile virus infection. IScience 2023, 26: 108387. PMID: 38047068, PMCID: PMC10692672, DOI: 10.1016/j.isci.2023.108387.Peer-Reviewed Original ResearchWest Nile virusEffective anti-viral responseInnate immune cell typesWest Nile virus infectionPro-inflammatory markersAcute time pointsImmune cell typesAnti-viral responseMolecular signaturesHost cellular activitiesAcute infectionAsymptomatic donorsPeripheral bloodSevere infectionsVirus infectionImmune responseSevere casesCell activityIll individualsSerum proteomicsInfectionInfection severityHigh expressionTime pointsNile virusMulti-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients
Diray-Arce J, Fourati S, Jayavelu N, Patel R, Maguire C, Chang A, Dandekar R, Qi J, Lee B, van Zalm P, Schroeder A, Chen E, Konstorum A, Brito A, Gygi J, Kho A, Chen J, Pawar S, Gonzalez-Reiche A, Hoch A, Milliren C, Overton J, Westendorf K, Network I, Abraham J, Adkisson M, Albert M, Torres L, Alvarenga B, Anderson M, Anderson E, Arnett A, Asashima H, Atkinson M, Baden L, Barton B, Beach K, Beagle E, Becker P, Bell M, Bernui M, Bime C, Kumar A, Booth L, Borresen B, Brakenridge S, Bristow L, Bryant R, Calfee C, Manuel J, Carrillo S, Chak S, Chang I, Connors J, Conway M, Corry D, Cowan D, Croen B, Dela Cruz C, Cusimano G, Eaker L, Edwards C, Ehrlich L, Elashoff D, Erickson H, Erle D, Farhadian S, Farrugia K, Fatou B, Fernandes A, Fernandez-Sesma A, Fragiadakis G, Furukawa S, Geltman J, Ghale R, Bermúdez M, Goonewardene M, Sanchez E, Guirgis F, Hafler D, Hamilton S, Harris P, Nemati A, Hendrickson C, Agudelo N, Hodder T, Holland S, Hough C, Huerta C, Hurley K, Hutton S, Iwasaki A, Jauregui A, Jha M, Johnson B, Joyner D, Kangelaris K, Kelly G, Khalil Z, Khan Z, Kheradmand F, Kim J, Kimura H, Ko A, Kohr B, Kraft M, Krummel M, Kutzler M, Lasky-Su J, Lee S, Lee D, Leipold M, Lentucci C, Leroux C, Lin E, Liu S, Love C, Lu Z, Maliskova L, Roth B, Manohar M, Martens M, McComsey G, McEnaney K, McLin R, Melamed E, Melnyk N, Mendez K, Messer W, Metcalf J, Michelotti G, Mick E, Mohanty S, Mosier J, Mulder L, Murphy M, Nadeau K, Nelson E, Nelson A, Nguyen V, Oberhaus J, Panganiban B, Pellegrini K, Pickering H, Powell D, Presnell S, Pulendran B, Rahman A, Sadeed A, Raskin A, Reed E, Pereira S, Rivera A, Rogers J, Rogers A, Rogowski B, Rooks R, Rosenberg-Hasson Y, Rothman J, Rousseau J, Salehi-Rad R, Saluvan M, Samaha H, Schaenman J, Schunk R, Semenza N, Sen S, Sevransky J, Seyfert-Margolis V, Shaheen T, Shaw A, Sieg S, Siegel S, Sigal N, Siles N, Simmons B, Simon V, Singh G, Sinko L, Smith C, Smolen K, Song L, Srivastava K, Sullivan P, Syphurs C, Tcheou J, Tegos G, Tharp G, Ally A, Tsitsiklis A, Ungaro R, Vaysman T, Viode A, Vita R, Wang X, Ward A, Ward D, Willmore A, Woloszczuk K, Wong K, Woodruff P, Xu L, van Haren S, van de Guchte A, Zhao Y, Cairns C, Rouphael N, Bosinger S, Kim-Schulze S, Krammer F, Rosen L, Grubaugh N, van Bakel H, Wilson M, Rajan J, Steen H, Eckalbar W, Cotsapas C, Langelier C, Levy O, Altman M, Maecker H, Montgomery R, Haddad E, Sekaly R, Esserman D, Ozonoff A, Becker P, Augustine A, Guan L, Peters B, Kleinstein S. Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients. Cell Reports Medicine 2023, 4: 101079. PMID: 37327781, PMCID: PMC10203880, DOI: 10.1016/j.xcrm.2023.101079.Peer-Reviewed Original ResearchConceptsDisease courseFatal COVID-19 diseaseHospitalized COVID-19 patientsSevere disease courseCOVID-19 participantsCOVID-19 patientsTrajectory groupsHost immune responseCOVID-19 diseaseImmune correlatesAcute infectionClinical courseHospital admissionClinical outcomesFatal outcomeClinical prognosisImmune responseSevere diseaseLongitudinal bloodNasal samplesBiologic stateLongitudinal studyDistinct assaysCohortMolecular signaturesPD-1highCXCR5–CD4+ peripheral helper T cells promote CXCR3+ plasmablasts in human acute viral infection
Asashima H, Mohanty S, Comi M, Ruff W, Hoehn K, Wong P, Klein J, Lucas C, Cohen I, Coffey S, Lele N, Greta L, Raddassi K, Chaudhary O, Unterman A, Emu B, Kleinstein S, Montgomery R, Iwasaki A, Dela Cruz C, Kaminski N, Shaw A, Hafler D, Sumida T. PD-1highCXCR5–CD4+ peripheral helper T cells promote CXCR3+ plasmablasts in human acute viral infection. Cell Reports 2023, 42: 111895. PMID: 36596303, PMCID: PMC9806868, DOI: 10.1016/j.celrep.2022.111895.Peer-Reviewed Original ResearchConceptsAcute viral infectionTph cellsViral infectionCXCR3 expressionClinical outcomesHelper TSevere viral infectionsB cell helpBetter clinical outcomesProtective humoral immunityT cell-B cell interactionsKey immune responsesPlasmablast expansionB cell differentiationCell subsetsHumoral immunityCell helpImmune responseInterferon γPlasmablast differentiationB cellsPlasmablastsCell responsesInfectionCD4
2022
Basic principles of neuroimmunology
Yoshida TM, Wang A, Hafler DA. Basic principles of neuroimmunology. Seminars In Immunopathology 2022, 44: 685-695. PMID: 35732977, DOI: 10.1007/s00281-022-00951-7.Peer-Reviewed Original ResearchConceptsNeuro-immune interactionsCentral nervous systemImmune privilegeCerebrospinal fluidCNS-resident immune cellsImmune-derived cytokinesResident T cellsImmune cell infiltrationImmune-privileged organMeningeal lymphatic systemIntroduction of antigenImmune compartmentNeuroinflammatory diseasesNeurological functionCNS homeostasisCell infiltrationHarmful inflammationImmune cellsPeripheral organsT cellsImmune responseLeukocyte traffickingNervous systemImmune systemLymphatic systemTCR-sequencing in cancer and autoimmunity: barcodes and beyond
Pauken KE, Lagattuta KA, Lu BY, Lucca LE, Daud AI, Hafler DA, Kluger HM, Raychaudhuri S, Sharpe AH. TCR-sequencing in cancer and autoimmunity: barcodes and beyond. Trends In Immunology 2022, 43: 180-194. PMID: 35090787, PMCID: PMC8882139, DOI: 10.1016/j.it.2022.01.002.Peer-Reviewed Original ResearchConceptsT cell receptorT cellsMolecular barcodesProgrammed Death-1 BlockadeTCR sequencesDeath-1 blockadeUnique TCR sequencesNaïve T cellsT cell functionCell divisionMolecular phenotypesBarcodesImmune responseAntigen specificitySingle cellsCell receptorCell functionRecent technological advancesCancerTCR dataCellsSingle-cell multi-omics reveals dyssynchrony of the innate and adaptive immune system in progressive COVID-19
Unterman A, Sumida TS, Nouri N, Yan X, Zhao AY, Gasque V, Schupp JC, Asashima H, Liu Y, Cosme C, Deng W, Chen M, Raredon MSB, Hoehn KB, Wang G, Wang Z, DeIuliis G, Ravindra NG, Li N, Castaldi C, Wong P, Fournier J, Bermejo S, Sharma L, Casanovas-Massana A, Vogels CBF, Wyllie AL, Grubaugh ND, Melillo A, Meng H, Stein Y, Minasyan M, Mohanty S, Ruff WE, Cohen I, Raddassi K, Niklason L, Ko A, Montgomery R, Farhadian S, Iwasaki A, Shaw A, van Dijk D, Zhao H, Kleinstein S, Hafler D, Kaminski N, Dela Cruz C. Single-cell multi-omics reveals dyssynchrony of the innate and adaptive immune system in progressive COVID-19. Nature Communications 2022, 13: 440. PMID: 35064122, PMCID: PMC8782894, DOI: 10.1038/s41467-021-27716-4.Peer-Reviewed Original ResearchMeSH KeywordsAdaptive ImmunityAgedAntibodies, Monoclonal, HumanizedCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCells, CulturedCOVID-19COVID-19 Drug TreatmentFemaleGene Expression ProfilingGene Expression RegulationHumansImmunity, InnateMaleReceptors, Antigen, B-CellReceptors, Antigen, T-CellRNA-SeqSARS-CoV-2Single-Cell AnalysisConceptsProgressive COVID-19B cell clonesSingle-cell analysisT cellsImmune responseMulti-omics single-cell analysisCOVID-19Cell clonesAdaptive immune interactionsSevere COVID-19Dynamic immune responsesGene expressionSARS-CoV-2 virusAdaptive immune systemSomatic hypermutation frequenciesCellular effectsProtein markersEffector CD8Immune signaturesProgressive diseaseHypermutation frequencyProgressive courseClassical monocytesClonesImmune interactions
2021
Immunophenotyping assessment in a COVID-19 cohort (IMPACC): A prospective longitudinal study
, , Rouphael N, Maecker H, Montgomery R, Diray-Arce J, Kleinstein S, Altman M, Bosinger S, Eckalbar W, Guan L, Hough C, Krammer F, Langelier C, Levy O, McEnaney K, Peters B, Rahman A, Rajan J, Sigelman S, Steen H, van Bakel H, Ward A, Wilson M, Woodruff P, Zamecnik C, Augustine A, Ozonoff A, Reed E, Becker P, Higuita N, Altman M, Atkinson M, Baden L, Becker P, Bime C, Brakenridge S, Calfee C, Cairns C, Corry D, Davis M, Augustine A, Ehrlich L, Haddad E, Erle D, Fernandez-Sesma A, Hafler D, Hough C, Kheradmand F, Kleinstein S, Kraft M, Levy O, McComsey G, Melamed E, Messer W, Metcalf J, Montgomery R, Nadeau K, Ozonoff A, Peters B, Pulendran B, Reed E, Rouphael N, Sarwal M, Schaenman J, Sekaly R, Shaw A, Simon V. Immunophenotyping assessment in a COVID-19 cohort (IMPACC): A prospective longitudinal study. Science Immunology 2021, 6: eabf3733. PMID: 34376480, PMCID: PMC8713959, DOI: 10.1126/sciimmunol.abf3733.Peer-Reviewed Original ResearchConceptsCOVID-19 cohortProspective longitudinal studyHost immune responseLongitudinal studyCOVID-19Identification of biomarkersHospitalized patientsRespiratory secretionsClinical criteriaDisease progressionImmune responseRadiographic dataImmunologic assaysEffective therapeuticsOptimal timingStudy designBiologic samplingSuch interventionsCohortSeveritySample collectionAssay protocolsPatientsSingle cell immunophenotyping of the skin lesion erythema migrans Identifies IgM memory B cells
Jiang R, Meng H, Raddassi K, Fleming I, Hoehn KB, Dardick KR, Belperron AA, Montgomery RR, Shalek AK, Hafler DA, Kleinstein SH, Bockenstedt LK. Single cell immunophenotyping of the skin lesion erythema migrans Identifies IgM memory B cells. JCI Insight 2021, 6: e148035. PMID: 34061047, PMCID: PMC8262471, DOI: 10.1172/jci.insight.148035.Peer-Reviewed Original ResearchConceptsMemory B cellsErythema migransB cellsEM lesionsIgM memory B cellsLyme diseaseB-cell receptor sequencingSkin infection siteCell receptor sequencingEarly Lyme diseaseLocal antigen presentationSkin immune responsesB cell populationsSingle-cell immunophenotypingMHC class II genesUninvolved skinImmune cellsSpirochetal infectionAntigen presentationCell immunophenotypingT cellsImmune responseIsotype usageAntibody productionInitial signs
2020
Differential expression of the T-cell inhibitor TIGIT in glioblastoma and MS
Lucca LE, Lerner BA, Park C, DeBartolo D, Harnett B, Kumar VP, Ponath G, Raddassi K, Huttner A, Hafler DA, Pitt D. Differential expression of the T-cell inhibitor TIGIT in glioblastoma and MS. Neurology Neuroimmunology & Neuroinflammation 2020, 7: e712. PMID: 32269065, PMCID: PMC7188477, DOI: 10.1212/nxi.0000000000000712.Peer-Reviewed Original ResearchConceptsTumor-infiltrating T cellsT cellsPD-1/PD-L1Anti-TIGIT therapyExpression of CD226Expression of TIGITPostmortem CNS tissueLymphocytes of patientsFresh surgical resectionsLigand CD155TIGIT expressionSurgical resectionPD-1PD-L1CNS diseaseHealthy controlsHealthy donorsLymphocytic expressionImmune responseCNS tissueMS lesionsTIGITImmune pathwaysPatientsGlioblastoma multiforme
2019
Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility
Patsopoulos N, Baranzini S, Santaniello A, Shoostari P, Cotsapas C, Wong G, Beecham A, James T, Replogle J, Vlachos I, McCabe C, Pers T, Brandes A, White C, Keenan B, Cimpean M, Winn P, Panteliadis I, Robbins A, Andlauer T, Zarzycki O, Dubois B, Goris A, Søndergaard H, Sellebjerg F, Sorensen P, Ullum H, Thørner L, Saarela J, Cournu-Rebeix I, Damotte V, Fontaine B, Guillot-Noel L, Lathrop M, Vukusic S, Berthele A, Pongratz V, Buck D, Gasperi C, Graetz C, Grummel V, Hemmer B, Hoshi M, Knier B, Korn T, Lill C, Luessi F, Mühlau M, Zipp F, Dardiotis E, Agliardi C, Amoroso A, Barizzone N, Benedetti M, Bernardinelli L, Cavalla P, Clarelli F, Comi G, Cusi D, Esposito F, Ferrè L, Galimberti D, Guaschino C, Leone M, Martinelli V, Moiola L, Salvetti M, Sorosina M, Vecchio D, Zauli A, Santoro S, Mancini N, Zuccalà M, Mescheriakova J, van Duijn C, Bos S, Celius E, Spurkland A, Comabella M, Montalban X, Alfredsson L, Bomfim I, Gomez-Cabrero D, Hillert J, Jagodic M, Lindén M, Piehl F, Jelčić I, Martin R, Sospedra M, Baker A, Ban M, Hawkins C, Hysi P, Kalra S, Karpe F, Khadake J, Lachance G, Molyneux P, Neville M, Thorpe J, Bradshaw E, Caillier S, Calabresi P, Cree B, Cross A, Davis M, de Bakker P, Delgado S, Dembele M, Edwards K, Fitzgerald K, Frohlich I, Gourraud P, Haines J, Hakonarson H, Kimbrough D, Isobe N, Konidari I, Lathi E, Lee M, Li T, An D, Zimmer A, Madireddy L, Manrique C, Mitrovic M, Olah M, Patrick E, Pericak-Vance M, Piccio L, Schaefer C, Weiner H, Lage K, Compston A, Hafler D, Harbo H, Hauser S, Stewart G, D’Alfonso S, Hadjigeorgiou G, Taylor B, Barcellos L, Booth D, Hintzen R, Kockum I, Martinelli-Boneschi F, McCauley J, Oksenberg J, Oturai A, Sawcer S, Ivinson A, Olsson T, De Jager P. Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility. Science 2019, 365 PMID: 31604244, PMCID: PMC7241648, DOI: 10.1126/science.aav7188.Peer-Reviewed Original ResearchMeSH KeywordsCase-Control StudiesCell Cycle ProteinsChromosome MappingChromosomes, Human, XGene FrequencyGenetic LociGenome-Wide Association StudyGenomicsGTPase-Activating ProteinsHumansInheritance PatternsMajor Histocompatibility ComplexMicrogliaMultiple SclerosisPolymorphism, Single NucleotideQuantitative Trait LociRNA-SeqTranscriptomeConceptsMajor histocompatibility complexMultiple sclerosisImmune cellsBrain-resident immune cellsPeripheral immune cellsPeripheral immune responseCentral nervous systemExtended major histocompatibility complexAutoimmune processControl subjectsHuman microgliaImmune responseNervous systemImmune systemHistocompatibility complexPutative susceptibility genesMicrogliaX variantGenetic architectureSusceptibility genesGenomic mapGenetic dataExpression profilesM geneSusceptibility variants
2017
Resisting fatal attraction: a glioma oncometabolite prevents CD8+ T cell recruitment
Lucca LE, Hafler DA. Resisting fatal attraction: a glioma oncometabolite prevents CD8+ T cell recruitment. Journal Of Clinical Investigation 2017, 127: 1218-1220. PMID: 28319049, PMCID: PMC5373854, DOI: 10.1172/jci93565.Peer-Reviewed Original ResearchConceptsT cellsRecruitment of CD8Antitumor immune responseT cell recruitmentMigration of CD8Cell lung tumorsSyngeneic gliomaChemokines CXCL9Tumor escapeTumor controlImmune infiltrationMetastatic melanomaClinical trialsMalignant gliomasExpression of STAT1Immune surveillanceLung tumorsImmune responseAggressive cancerCell recruitmentCD8Tumor destructionTumorsGliomasCommon mutations
2016
The Human Functional Genomics Project: Understanding Generation of Diversity
Pappalardo JL, Hafler DA. The Human Functional Genomics Project: Understanding Generation of Diversity. Cell 2016, 167: 894-896. PMID: 27814519, DOI: 10.1016/j.cell.2016.10.040.Peer-Reviewed Original ResearchPD-1 marks dysfunctional regulatory T cells in malignant gliomas
Lowther DE, Goods BA, Lucca LE, Lerner BA, Raddassi K, van Dijk D, Hernandez AL, Duan X, Gunel M, Coric V, Krishnaswamy S, Love JC, Hafler DA. PD-1 marks dysfunctional regulatory T cells in malignant gliomas. JCI Insight 2016, 1: e85935. PMID: 27182555, PMCID: PMC4864991, DOI: 10.1172/jci.insight.85935.Peer-Reviewed Original ResearchTumor-infiltrating TregsPD-1IFN-γ productionGlioblastoma multiformeT cellsImmune responseHealthy subjectsDysfunctional regulatory T cellsHigh PD-1 expressionCell death protein 1PD-1-blocking antibodiesPD-1 expressionEffector T cellsRegulatory T cellsDeath protein 1Antitumoral immune responseImmune checkpoint receptorsProduction of IFNExhausted phenotypeExhaustion signaturesCheckpoint receptorsHuman TregsTumor infiltratesFunctional statusMalignant gliomas
2014
Prolonged Proinflammatory Cytokine Production in Monocytes Modulated by Interleukin 10 After Influenza Vaccination in Older Adults
Mohanty S, Joshi SR, Ueda I, Wilson J, Blevins TP, Siconolfi B, Meng H, Devine L, Raddassi K, Tsang S, Belshe RB, Hafler DA, Kaech SM, Kleinstein SH, Trentalange M, Allore HG, Shaw AC. Prolonged Proinflammatory Cytokine Production in Monocytes Modulated by Interleukin 10 After Influenza Vaccination in Older Adults. The Journal Of Infectious Diseases 2014, 211: 1174-1184. PMID: 25367297, PMCID: PMC4366602, DOI: 10.1093/infdis/jiu573.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedCytokinesDual Specificity Phosphatase 1FemaleGene Expression RegulationGPI-Linked ProteinsHumansImmunity, InnateInfluenza VaccinesInfluenza, HumanInterleukin-10Interleukin-6Lipopolysaccharide ReceptorsMaleMonocytesPhosphorylationReceptors, IgGSignal TransductionSTAT3 Transcription FactorTumor Necrosis Factor-alphaVaccinationYoung AdultConceptsOlder adultsInfluenza vaccinationInflammatory monocytesInterleukin-10Cytokine productionOlder subjectsAnti-inflammatory cytokine interleukin-10Influenza vaccine antibody responseTumor necrosis factor αImpaired vaccine responsesVaccine antibody responseIL-10 productionCytokine interleukin-10Proinflammatory cytokine productionNecrosis factor αAge-associated elevationPhosphorylated signal transducerVaccine responsesAntibody responseInterleukin-6Immune responseMonocyte populationsDay 28Intracellular stainingVaccinationTreg Cells Expressing the Coinhibitory Molecule TIGIT Selectively Inhibit Proinflammatory Th1 and Th17 Cell Responses
Joller N, Lozano E, Burkett PR, Patel B, Xiao S, Zhu C, Xia J, Tan TG, Sefik E, Yajnik V, Sharpe AH, Quintana FJ, Mathis D, Benoist C, Hafler DA, Kuchroo VK. Treg Cells Expressing the Coinhibitory Molecule TIGIT Selectively Inhibit Proinflammatory Th1 and Th17 Cell Responses. Immunity 2014, 40: 569-581. PMID: 24745333, PMCID: PMC4070748, DOI: 10.1016/j.immuni.2014.02.012.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCell ProliferationCells, CulturedCytokinesEosinophilsFibrinogenForkhead Transcription FactorsGene Expression ProfilingGene Expression RegulationImmunosuppression TherapyLymphocyte ActivationMiceMice, Inbred C57BLMice, KnockoutMice, TransgenicReceptors, ImmunologicRespiratory HypersensitivityTh1-Th2 BalanceT-Lymphocyte SubsetsT-Lymphocytes, RegulatoryConceptsTreg cell subsetsTh2 cell responsesTreg cellsCell subsetsCell responsesProinflammatory T helper 1T effector cell proliferationTreg cell-mediated suppressionFibrinogen-like protein 2Allergic airway inflammationT regulatory (Treg) cellsTh2 cytokine productionSuppression of Th1T helper 1Effector cell proliferationTreg signature genesProinflammatory Th1TIGIT expressionAirway inflammationTh17 cellsRegulatory cellsHelper 1Cytokine productionT cellsImmune response
2013
The plasticity of human Treg and Th17 cells and its role in autoimmunity
Kleinewietfeld M, Hafler DA. The plasticity of human Treg and Th17 cells and its role in autoimmunity. Seminars In Immunology 2013, 25: 305-312. PMID: 24211039, PMCID: PMC3905679, DOI: 10.1016/j.smim.2013.10.009.Peer-Reviewed Original ResearchConceptsTh17 cellsT cellsMultiple sclerosisAutoimmune diseasesImmune systemPlasticity of TregsEffector T cellsRegulatory T cellsEffector cell populationsHuman autoimmune diseasesT cell subpopulationsT helper cellsParticular multiple sclerosisT cell plasticityHigh gradeInnate immune systemAdaptive immune systemStrength of stimulationT cell developmentHuman TregsHelper cellsImmune responseImmune reactionsNaive cellsTregsRegulatory T Cells in MS
Gawlik B, Hafler D. Regulatory T Cells in MS. 2013, 27-47. DOI: 10.1007/978-1-4614-7953-6_2.Peer-Reviewed Original ResearchRegulatory T cellsAutoreactive T cellsT cellsCentral nervous systemMultiple sclerosisTreg cellsHealthy individualsPathogenic autoreactive T cellsMultifocal demyelinating diseaseDemyelinating diseaseCNS lesionsMS patientsAutoimmune responseAutoimmune diseasesPeripheral bloodImmune homeostasisImmune responseNervous systemSusceptible individualsProgressive neurodegenerationDiseaseKey regulatorCellsIndividualsHigher number
2012
Regulatory T cells in the central nervous system
Lowther DE, Hafler DA. Regulatory T cells in the central nervous system. Immunological Reviews 2012, 248: 156-169. PMID: 22725960, DOI: 10.1111/j.1600-065x.2012.01130.x.Peer-Reviewed Original ResearchConceptsRegulatory T cellsTreg functionAutoimmune diseasesT cellsForkhead box protein 3Central nervous system diseaseBox protein 3Nervous system diseasesCentral nervous systemPotential therapeutic targetHuman immune systemTreg biologyPeripheral toleranceMultiple sclerosisCNS diseaseImmune surveillanceImmune responseSystem diseasesTherapeutic targetNervous systemImmune systemProtein 3DiseaseTregsCells
2011
An Innate Role for IL-17
Dominguez-Villar M, Hafler DA. An Innate Role for IL-17. Science 2011, 332: 47-48. PMID: 21454778, DOI: 10.1126/science.1205311.Peer-Reviewed Original ResearchConceptsImmune responseImmune dysregulation polyendocrinopathyAbnormal immune responseRegulatory immune cellsRegulatory T cellsHuman autoimmune disordersCytokine interleukin-17Normal immune responseTranscription factor Foxp3IL-17Interleukin-17Autoimmune disordersAutoimmune diseasesImmune cellsImmune system processFOXP3 geneFactor Foxp3T cellsImmune systemFungal infectionsGenetic mutationsHuman genetic mutationsCytokinesInfectionCell types
2010
FOXP3+ regulatory T cells in the human immune system
Sakaguchi S, Miyara M, Costantino CM, Hafler DA. FOXP3+ regulatory T cells in the human immune system. Nature Reviews Immunology 2010, 10: 490-500. PMID: 20559327, DOI: 10.1038/nri2785.Peer-Reviewed Original ResearchConceptsForkhead box P3Human Treg cellsTreg cellsT cellsKey PointsRegulatory T (TReg) cellsTreg cell-based therapyAntitumour immune responseRegulatory T cellsExpression of CD45RAPromising therapeutic perspectiveHuman immune systemAutoimmune pathogenesisDominant toleranceBox P3HLA-DRCell-based therapiesAutoimmune diseasesImmune homeostasisImmune responseImmune diseasesSuppressive functionPotent mediatorCancer growthImmune systemTherapeutic perspectives