2024
Single-cell transcriptomic and proteomic analysis of Parkinson’s disease brains
Zhu B, Park J, Coffey S, Russo A, Hsu I, Wang J, Su C, Chang R, Lam T, Gopal P, Ginsberg S, Zhao H, Hafler D, Chandra S, Zhang L. Single-cell transcriptomic and proteomic analysis of Parkinson’s disease brains. Science Translational Medicine 2024, 16: eabo1997. PMID: 39475571, DOI: 10.1126/scitranslmed.abo1997.Peer-Reviewed Original ResearchConceptsProteomic analysisAlzheimer's diseasePrefrontal cortexBrain cell typesGenetics of PDParkinson's diseaseCell-cell interactionsChaperone expressionSingle-nucleus transcriptomesExpressed genesTranscriptional changesPostmortem human brainPostmortem brain tissueDiseased brainSynaptic proteinsSingle-cellDown-regulationBrain cell populationsBrain regionsCell typesNeurodegenerative disordersLate-stage PDParkinson's disease brainsDisease etiologyNeuronal vulnerabilityCholesterol promotes IFNG mRNA expression in CD4+ effector/memory cells by SGK1 activation
Hanin A, Comi M, Sumida T, Hafler D. Cholesterol promotes IFNG mRNA expression in CD4+ effector/memory cells by SGK1 activation. Life Science Alliance 2024, 7: e202402890. PMID: 39366761, PMCID: PMC11452476, DOI: 10.26508/lsa.202402890.Peer-Reviewed Original ResearchConceptsCentral nervous systemT cellsEffector/memory cellsCentral nervous system milieuT cell environmentCD4 T cellsIFNG mRNA expressionCXCR3<sup>+</sup> cellsT cell homeostasisInhibition of SGK1Targeting lipid pathwaysMaintenance of immune surveillanceSerum/glucocorticoid-regulated kinaseImmune surveillanceHealthy donorsCytotoxic capacityEffector responsesInflammatory conditionsSGK1 activityMRNA expressionNervous systemSGK1Metabolic conditionsLipid pathwaysTissue adaptationMeta-analysis identifies common gut microbiota associated with multiple sclerosis
Lin Q, Dorsett Y, Mirza A, Tremlett H, Piccio L, Longbrake E, Choileain S, Hafler D, Cox L, Weiner H, Yamamura T, Chen K, Wu Y, Zhou Y. Meta-analysis identifies common gut microbiota associated with multiple sclerosis. Genome Medicine 2024, 16: 94. PMID: 39085949, PMCID: PMC11293023, DOI: 10.1186/s13073-024-01364-x.Peer-Reviewed Original ResearchConceptsRRNA gene sequence dataGroups of microbial taxaGene sequence dataMicrobiome community structureAbundance of FaecalibacteriumAbundance of PrevotellaAbundance of ActinomycesSequence dataBeta diversityMicrobial taxaGut microbiotaMicrobial compositionCommunity structureNetwork analysisGutBacterial correlationsMicrobiotaAbundanceMultiple sclerosisDiverse groupMeta-analysisDiversityTaxaFaecalibacteriumConclusionsOur meta-analysisSingle-Cell Transcriptomic Analyses of Brain Parenchyma in Patients With New-Onset Refractory Status Epilepticus (NORSE)
Hanin A, Zhang L, Huttner A, Plu I, Mathon B, Bielle F, Navarro V, Hirsch L, Hafler D. Single-Cell Transcriptomic Analyses of Brain Parenchyma in Patients With New-Onset Refractory Status Epilepticus (NORSE). Neurology Neuroimmunology & Neuroinflammation 2024, 11: e200259. PMID: 38810181, PMCID: PMC11139018, DOI: 10.1212/nxi.0000000000200259.Peer-Reviewed Original ResearchConceptsNew-onset refractory status epilepticusTemporal lobe epilepsyGABAergic neuronsExcitatory neuronsInfiltrating macrophagesProportion of GABAergic neuronsChronic temporal lobe epilepsyRefractory status epilepticusInhibitory GABAergic neuronsSingle-cell transcriptome analysisDecreased expression of genesDegree of demyelinationImmune disturbancesNeuronal excitabilityImmune dysregulationNew-onsetStatus epilepticusPoor outcomeRefractory epilepsyHealthy childrenMicroglial reactivitySingle-nucleus RNA sequencingNLRP3 inflammasome activationInflammatory responseLobe epilepsy
2022
Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: Results from the IMPACC study
Ozonoff A, Schaenman J, Jayavelu ND, Milliren CE, Calfee CS, Cairns CB, Kraft M, Baden LR, Shaw AC, Krammer F, van Bakel H, Esserman DA, Liu S, Sesma AF, Simon V, Hafler DA, Montgomery RR, Kleinstein SH, Levy O, Bime C, Haddad EK, Erle DJ, Pulendran B, Nadeau KC, Davis MM, Hough CL, Messer WB, Higuita NIA, Metcalf JP, Atkinson MA, Brakenridge SC, Corry D, Kheradmand F, Ehrlich LIR, Melamed E, McComsey GA, Sekaly R, Diray-Arce J, Peters B, Augustine AD, Reed EF, Altman MC, Becker PM, Rouphael N, Ozonoff A, Schaenman J, Jayavelu N, Milliren C, Calfee C, Cairns C, Kraft M, Baden L, Shaw A, Krammer F, van Bakel H, Esserman D, Liu S, Sesma A, Simon V, Hafler D, Montgomery R, Kleinstein S, Levy O, Bime C, Haddad E, Erle D, Pulendran B, Nadeau K, Davis M, Hough C, Messer W, Higuita N, Metcalf J, Atkinson M, Brakenridge S, Corry D, Kheradmand F, Ehrlich L, Melamed E, McComsey G, Sekaly R, Diray-Arce J, Peters B, Augustine A, Reed E, McEnaney K, Barton B, Lentucci C, Saluvan M, Chang A, Hoch A, Albert M, Shaheen T, Kho A, Thomas S, Chen J, Murphy M, Cooney M, Presnell S, Fragiadakis G, Patel R, Guan L, Gygi J, Pawar S, Brito A, Khalil Z, Maguire C, Fourati S, Overton J, Vita R, Westendorf K, Salehi-Rad R, Leligdowicz A, Matthay M, Singer J, Kangelaris K, Hendrickson C, Krummel M, Langelier C, Woodruff P, Powell D, Kim J, Simmons B, Goonewardene I, Smith C, Martens M, Mosier J, Kimura H, Sherman A, Walsh S, Issa N, Dela Cruz C, Farhadian S, Iwasaki A, Ko A, Chinthrajah S, Ahuja N, Rogers A, Artandi M, Siegel S, Lu Z, Drevets D, Brown B, Anderson M, Guirgis F, Thyagarajan R, Rousseau J, Wylie D, Busch J, Gandhi S, Triplett T, Yendewa G, Giddings O, Anderson E, Mehta A, Sevransky J, Khor B, Rahman A, Stadlbauer D, Dutta J, Xie H, Kim-Schulze S, Gonzalez-Reiche A, van de Guchte A, Farrugia K, Khan Z, Maecker H, Elashoff D, Brook J, Ramires-Sanchez E, Llamas M, Rivera A, Perdomo C, Ward D, Magyar C, Fulcher J, Abe-Jones Y, Asthana S, Beagle A, Bhide S, Carrillo S, Chak S, Fragiadakis G, Ghale R, Gonzalez A, Jauregui A, Jones N, Lea T, Lee D, Lota R, Milush J, Nguyen V, Pierce L, Prasad P, Rao A, Samad B, Shaw C, Sigman A, Sinha P, Ward A, Willmore A, Zhan J, Rashid S, Rodriguez N, Tang K, Altamirano L, Betancourt L, Curiel C, Sutter N, Paz M, Tietje-Ulrich G, Leroux C, Connors J, Bernui M, Kutzler M, Edwards C, Lee E, Lin E, Croen B, Semenza N, Rogowski B, Melnyk N, Woloszczuk K, Cusimano G, Bell M, Furukawa S, McLin R, Marrero P, Sheidy J, Tegos G, Nagle C, Mege N, Ulring K, Seyfert-Margolis V, Conway M, Francisco D, Molzahn A, Erickson H, Wilson C, Schunk R, Sierra B, Hughes T, Smolen K, Desjardins M, van Haren S, Mitre X, Cauley J, Li X, Tong A, Evans B, Montesano C, Licona J, Krauss J, Chang J, Izaguirre N, Chaudhary O, Coppi A, Fournier J, Mohanty S, Muenker M, Nelson A, Raddassi K, Rainone M, Ruff W, Salahuddin S, Schulz W, Vijayakumar P, Wang H, Wunder E, Young H, Zhao Y, Saksena M, Altman D, Kojic E, Srivastava K, Eaker L, Bermúdez-González M, Beach K, Sominsky L, Azad A, Carreño J, Singh G, Raskin A, Tcheou J, Bielak D, Kawabata H, Mulder L, Kleiner G, Lee A, Do Do E, Fernandes A, Manohar M, Hagan T, Blish C, Din H, Roque J, Yang S, Brunton A, Sullivan P, Strnad M, Lyski Z, Coulter F, Booth J, Sinko L, Moldawer L, Borresen B, Roth-Manning B, Song L, Nelson E, Lewis-Smith M, Smith J, Tipan P, Siles N, Bazzi S, Geltman J, Hurley K, Gabriele G, Sieg S, Vaysman T, Bristow L, Hussaini L, Hellmeister K, Samaha H, Cheng A, Spainhour C, Scherer E, Johnson B, Bechnak A, Ciric C, Hewitt L, Carter E, Mcnair N, Panganiban B, Huerta C, Usher J, Ribeiro S, Altman M, Becker P, Rouphael N. Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: Results from the IMPACC study. EBioMedicine 2022, 83: 104208. PMID: 35952496, PMCID: PMC9359694, DOI: 10.1016/j.ebiom.2022.104208.Peer-Reviewed Original ResearchConceptsRisk factorsRadiographic findingsFemale sexDisease severityHospitalized COVID-19 patientsSARS-CoV-2 antibodiesSARS-CoV-2 PCRLong COVID-19Presence of infiltratesInvasive mechanical ventilationCharacteristics of patientsOnly female sexViral load levelsClinical laboratory valuesCOVID-19 cohortMultivariable logistic regressionCOVID-19 patientsCoronavirus disease 2019PCR cycle thresholdCOVID-19Baseline creatinineBaseline lymphopeniaMedian ageOverall mortalityProlonged hospitalizationSingle-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
Single 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 signsOleic acid restores suppressive defects in tissue-resident FOXP3 regulatory T cells from patients with multiple sclerosis
Pompura SL, Wagner A, Kitz A, Laperche J, Yosef N, Dominguez-Villar M, Hafler D. Oleic acid restores suppressive defects in tissue-resident FOXP3 regulatory T cells from patients with multiple sclerosis. Journal Of Clinical Investigation 2021, 131 PMID: 33170805, PMCID: PMC7810477, DOI: 10.1172/jci138519.Peer-Reviewed Original ResearchConceptsMultiple sclerosisAdipose tissueFoxp3 regulatory T cellsExpression of Foxp3Regulatory T cellsTreg suppressive functionProinflammatory arachidonic acidHuman adipose tissuePhosphorylation of STAT5Treg homeostasisFatty acidsPeripheral bloodTissue residencyHealthy donorsInflammatory signalsT cellsTregsFree fatty acidsSuppressive functionArachidonic acidPatientsOleic acidOxidative phosphorylationTranscriptomic programsFoxp3
2020
Two genetic variants explain the association of European ancestry with multiple sclerosis risk in African-Americans
Nakatsuka N, Patterson N, Patsopoulos NA, Altemose N, Tandon A, Beecham AH, McCauley JL, Isobe N, Hauser S, De Jager PL, Hafler DA, Oksenberg JR, Reich D. Two genetic variants explain the association of European ancestry with multiple sclerosis risk in African-Americans. Scientific Reports 2020, 10: 16902. PMID: 33037294, PMCID: PMC7547691, DOI: 10.1038/s41598-020-74035-7.Peer-Reviewed Original ResearchDifferential 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
Autoantibodies against Neurologic Antigens in Nonneurologic Autoimmunity
Stathopoulos P, Chastre A, Waters P, Irani S, Fichtner ML, Benotti ES, Guthridge JM, Seifert J, Nowak RJ, Buckner JH, Holers VM, James JA, Hafler DA, O’Connor K. Autoantibodies against Neurologic Antigens in Nonneurologic Autoimmunity. The Journal Of Immunology 2019, 202: ji1801295. PMID: 30824481, PMCID: PMC6452031, DOI: 10.4049/jimmunol.1801295.Peer-Reviewed Original ResearchConceptsSystemic lupus erythematosusRheumatoid arthritisControl cohortNeuromyelitis optica spectrum disorderSurface AgOptica spectrum disorderMyelin oligodendrocyte glycoproteinHealthy donor seraType 1 diabetesB cell toleranceNeurologic autoimmunitySLE patientsLupus erythematosusSuch autoantibodiesT1D patientsAutoimmune diseasesHigh titer AbsOligodendrocyte glycoproteinSystemic autoimmunityDonor seraLarge cohortRare caseAutoantibodiesAquaporin-4Cell toleranceLatent autoimmunity across disease-specific boundaries in at-risk first-degree relatives of SLE and RA patients
James JA, Chen H, Young KA, Bemis EA, Seifert J, Bourn RL, Deane KD, Demoruelle MK, Feser M, O'Dell JR, Weisman MH, Keating RM, Gaffney PM, Kelly JA, Langefeld CD, Harley JB, Robinson W, Hafler DA, O'Connor KC, Buckner J, Guthridge JM, Norris JM, Holers VM. Latent autoimmunity across disease-specific boundaries in at-risk first-degree relatives of SLE and RA patients. EBioMedicine 2019, 42: 76-85. PMID: 30952617, PMCID: PMC6491794, DOI: 10.1016/j.ebiom.2019.03.063.Peer-Reviewed Original ResearchConceptsSystemic lupus erythematosusFirst-degree relativesGenetic risk scoreRA patientsRheumatoid arthritisSLE patientsT1D patientsAutoantibody-positive systemic lupus erythematosusRisk first-degree relativesOrgan-specific autoimmune diseasesType 1 diabetes patientsAutoimmune disease preventionAnti-tissue transglutaminaseDisease-associated autoantibodiesDisease prevention studiesUnaffected first-degree relativesCross-sectional studyLatent autoimmunityLupus erythematosusAutoimmune diseasesDiabetes patientsPrevention StudyRisk scoreAutoimmunityPreclinical periodAedes aegypti AgBR1 antibodies modulate early Zika virus infection of mice
Uraki R, Hastings AK, Marin-Lopez A, Sumida T, Takahashi T, Grover JR, Iwasaki A, Hafler DA, Montgomery RR, Fikrig E. Aedes aegypti AgBR1 antibodies modulate early Zika virus infection of mice. Nature Microbiology 2019, 4: 948-955. PMID: 30858571, PMCID: PMC6533137, DOI: 10.1038/s41564-019-0385-x.Peer-Reviewed Original ResearchConceptsZika virus infectionVirus infectionZika virusAegypti salivary proteinsGuillain-Barre syndromeEarly inflammatory responseSkin of micePrevention of mosquitoInflammatory responseAedes aegypti mosquitoesTherapeutic measuresSalivary factorsSalivary proteinsMosquito-borneInfectionMiceSubstantial mortalityRecent epidemicProtein 1Aegypti mosquitoesAntigenic proteinsVirusAntibodiesMosquitoesAntiserum
2018
Low-Frequency and Rare-Coding Variation Contributes to Multiple Sclerosis Risk
Consortium I, Mitrovič M, Patsopoulos N, Beecham A, Dankowski T, Goris A, Dubois B, D’hooghe M, Lemmens R, Van Damme P, Søndergaard H, Sellebjerg F, Sorensen P, Ullum H, Thørner L, Werge T, Saarela J, Cournu-Rebeix I, Damotte V, Fontaine B, Guillot-Noel L, Lathrop M, Vukusik S, Gourraud P, Andlauer T, Pongratz V, Buck D, Gasperi C, Bayas A, Heesen C, Kümpfel T, Linker R, Paul F, Stangel M, Tackenberg B, Bergh F, Warnke C, Wiendl H, Wildemann B, Zettl U, Ziemann U, Tumani H, Gold R, Grummel V, Hemmer B, Knier B, Lill C, Luessi F, Dardiotis E, Agliardi C, Barizzone N, Mascia E, Bernardinelli L, Comi G, Cusi D, Esposito F, Ferrè L, Comi C, Galimberti D, Leone M, Sorosina M, Mescheriakova J, Hintzen R, van Duijn C, Theunissen C, Bos S, Myhr K, Celius E, Lie B, Spurkland A, Comabella M, Montalban X, Alfredsson L, Stridh P, Hillert J, Jagodic M, Piehl F, Jelčić I, Martin R, Sospedra M, Ban M, Hawkins C, Hysi P, Kalra S, Karpe F, Khadake J, Lachance G, Neville M, Santaniello A, Caillier S, Calabresi P, Cree B, Cross A, Davis M, Haines J, de Bakker P, Delgado S, Dembele M, Edwards K, Fitzgerald K, Hakonarson H, Konidari I, Lathi E, Manrique C, Pericak-Vance M, Piccio L, Schaefer C, McCabe C, Weiner H, Goldstein J, Olsson T, Hadjigeorgiou G, Taylor B, Tajouri L, Charlesworth J, Booth D, Harbo H, Ivinson A, Hauser S, Compston A, Stewart G, Zipp F, Barcellos L, Baranzini S, Martinelli-Boneschi F, D’Alfonso S, Ziegler A, Oturai A, McCauley J, Sawcer S, Oksenberg J, De Jager P, Kockum I, Hafler D, Cotsapas C. Low-Frequency and Rare-Coding Variation Contributes to Multiple Sclerosis Risk. Cell 2018, 175: 1679-1687.e7. PMID: 30343897, PMCID: PMC6269166, DOI: 10.1016/j.cell.2018.09.049.Peer-Reviewed Original ResearchConceptsRare coding variationsGenome-wide association studiesNon-coding variationCommon variant signalsSubstantial linkage disequilibriumLow-frequency variantsNovel genesCell homeostasisAssociation studiesComplex neurological diseasesLinkage disequilibriumGenetic variantsCommon variantsHeritabilityRich resourceGenesVariantsKey pathogenic roleIndividual familiesEpistasisAdditive effectBiologyHomeostasisMutationsNeurological diseasesFingolimod modulates T cell phenotype and regulatory T cell plasticity in vivo
Dominguez-Villar M, Raddassi K, Danielsen AC, Guarnaccia J, Hafler DA. Fingolimod modulates T cell phenotype and regulatory T cell plasticity in vivo. Journal Of Autoimmunity 2018, 96: 40-49. PMID: 30122421, PMCID: PMC7882197, DOI: 10.1016/j.jaut.2018.08.002.Peer-Reviewed Original ResearchConceptsT cellsMultiple sclerosisT cell effector phenotypeRelapsing-remitting multiple sclerosisRegulatory T cell populationTh1-like phenotypeRegulatory T cellsPro-inflammatory cytokinesT-cell phenotypeT cell populationsExpression of Th1Immune cell functionRegulatory T cell plasticityT cell plasticityCentral nervous systemExpression of markersCell migratory capacityImportant immunomodulatory functionsExcessive Th1Fingolimod treatmentExhaustion markersTh17 cytokinesEffector phenotypeLymph nodesSerum levels
2016
Production of Proinflammatory Cytokines by Monocytes in Liver-Transplanted Recipients with De Novo Autoimmune Hepatitis Is Enhanced and Induces TH1-like Regulatory T Cells
Arterbery AS, Osafo-Addo A, Avitzur Y, Ciarleglio M, Deng Y, Lobritto SJ, Martinez M, Hafler DA, Kleinewietfeld M, Ekong UD. Production of Proinflammatory Cytokines by Monocytes in Liver-Transplanted Recipients with De Novo Autoimmune Hepatitis Is Enhanced and Induces TH1-like Regulatory T Cells. The Journal Of Immunology 2016, 196: 4040-4051. PMID: 27183637, PMCID: PMC4874532, DOI: 10.4049/jimmunol.1502276.Peer-Reviewed Original ResearchConceptsRegulatory T cellsIL-12IL-6T cellsSuppressive functionDe novo autoimmune hepatitisHuman regulatory T cellsNovo autoimmune hepatitisProinflammatory IL-12Th17 effector cellsTregs of patientsDifferentiation of TregsIL-17 cytokinesBlockade of IFNMonocyte/macrophage cellsLiver of subjectsAutoimmune hepatitisDominant cytokineProinflammatory IFNTH1-likeIL-17Treg phenotypeTreg dysfunctionEffector cellsInflammatory milieu
2015
Sodium chloride inhibits the suppressive function of FOXP3+ regulatory T cells
Hernandez AL, Kitz A, Wu C, Lowther DE, Rodriguez DM, Vudattu N, Deng S, Herold KC, Kuchroo VK, Kleinewietfeld M, Hafler DA. Sodium chloride inhibits the suppressive function of FOXP3+ regulatory T cells. Journal Of Clinical Investigation 2015, 125: 4212-4222. PMID: 26524592, PMCID: PMC4639983, DOI: 10.1172/jci81151.Peer-Reviewed Original ResearchMeSH KeywordsAdoptive TransferAnimalsAntibodies, NeutralizingAutoimmunityCD4-Positive T-LymphocytesCells, CulturedCoculture TechniquesColitisCytokinesForkhead Transcription FactorsGene Expression ProfilingGenes, ReporterGraft vs Host DiseaseHeterograftsHumansImmediate-Early ProteinsInflammationInterferon-gammaLeukocytes, MononuclearMaleMiceProtein Serine-Threonine KinasesRNA InterferenceRNA, Small InterferingSodium ChlorideSodium Chloride, DietaryT-Lymphocytes, RegulatoryConceptsHigh-salt dietTreg functionIFNγ secretionCD4 effector cellsHuman Treg functionRegulatory T cellsAdoptive transfer modelAnti-IFNγ antibodyHost disease modelType 1 diabetesInduction of proinflammatoryTreg pathwayExperimental colitisXenogeneic graftEffector cellsMultiple sclerosisProinflammatory responseT cellsTregsMurine modelSuppressive activitySuppressive functionSerum/glucocorticoid-regulated kinaseAutoimmunityGlucocorticoid-regulated kinaseGenetic variants associated with autoimmunity drive NFκB signaling and responses to inflammatory stimuli
Housley WJ, Fernandez SD, Vera K, Murikinati SR, Grutzendler J, Cuerdon N, Glick L, De Jager PL, Mitrovic M, Cotsapas C, Hafler DA. Genetic variants associated with autoimmunity drive NFκB signaling and responses to inflammatory stimuli. Science Translational Medicine 2015, 7: 291ra93. PMID: 26062845, PMCID: PMC4574294, DOI: 10.1126/scitranslmed.aaa9223.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAllelesAutoimmunityCase-Control StudiesCD4-Positive T-LymphocytesCell NucleusCytokinesFemaleGenetic Predisposition to DiseaseHumansInflammationMaleMiddle AgedMultiple SclerosisNF-kappa BPolymorphism, Single NucleotideProtein TransportReceptors, Tumor Necrosis Factor, Type IRisk FactorsSex CharacteristicsSignal TransductionTime FactorsTumor Necrosis Factor-alphaConceptsB-cell leukemia 3Multiple sclerosisNegative regulatorInflammatory stimuliGenetic variantsWide association studyDisease susceptibility variantsNaïve CD4 T cellsRapid genetic screeningCD4 T cellsActivation of p65Transcription factor nuclear factor κBExpression of NFκBNuclear factor κBApoptosis 1Cellular inhibitorGG risk genotypeDegradation of inhibitorCentral regulatorAssociation studiesCytokine blockadeUlcerative colitisAutoimmune diseasesTumor necrosisSusceptibility variantsFunctional inflammatory profiles distinguish myelin-reactive T cells from patients with multiple sclerosis
Cao Y, Goods BA, Raddassi K, Nepom GT, Kwok WW, Love JC, Hafler DA. Functional inflammatory profiles distinguish myelin-reactive T cells from patients with multiple sclerosis. Science Translational Medicine 2015, 7: 287ra74. PMID: 25972006, PMCID: PMC4497538, DOI: 10.1126/scitranslmed.aaa8038.Peer-Reviewed Original ResearchConceptsMyelin-reactive T cellsMultiple sclerosisT cellsHealthy controlsT cell librariesT helper cell 17Antigen-specific T cellsGene signatureMore IL-10More proinflammatory cytokinesAutoreactive T cellsIL-10 productionHuman autoimmune diseasesGranulocyte-macrophage colony-stimulating factorProduction of interferonColony-stimulating factorMyelin antigensTh17 cellsIL-10Inflammatory profileInterleukin-17Proinflammatory cytokinesAutoimmune diseasesDisease progressionHealthy subjectsThymic Selection: To Thine Own Self Be True
Kitz A, Hafler DA. Thymic Selection: To Thine Own Self Be True. Immunity 2015, 42: 788-789. PMID: 25992854, DOI: 10.1016/j.immuni.2015.05.007.Peer-Reviewed Original Research