2022
Single-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 interactionsPhenotypes 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 hospitalization
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 virusPrior cycles of anti-CD20 antibodies affect antibody responses after repeated SARS-CoV-2 mRNA vaccination
Asashima H, Kim D, Wang K, Lele N, Buitrago-Pocasangre N, Lutz R, Cruz I, Raddassi K, Ruff W, Racke M, Wilson J, Givens T, Grifoni A, Weiskopf D, Sette A, Kleinstein S, Montgomery R, Shaw A, Li F, Fan R, Hafler D, Tomayko M, Longbrake E. Prior cycles of anti-CD20 antibodies affect antibody responses after repeated SARS-CoV-2 mRNA vaccination. JCI Insight 2023, 8: e168102. PMID: 37606046, PMCID: PMC10543713, DOI: 10.1172/jci.insight.168102.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 mRNA vaccinationB-cell-depleted patientsB-cell depletionAntibody responseMRNA vaccinationThird doseCell depletionT cellsClaude D. Pepper Older Americans Independence CenterB cellsNational Multiple Sclerosis SocietyAnti-CD20 antibodySpike-specific antibodiesMultiple Sclerosis SocietyLow cumulative exposureLogistic regression modelsImportant clinical needCD20 therapyCD20 treatmentMost patientsThird vaccineSerologic responseVaccine dosesMRNA vaccinesVaccination strategiesMulti-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 responsesInfectionCD4Featured Cover
Konstorum A, Mohanty S, Zhao Y, Melillo A, Vander Wyk B, Nelson A, Tsang S, Blevins T, Belshe R, Chawla D, Rondina M, Gill T, Montgomery R, Allore H, Kleinstein S, Shaw A. Featured Cover. Aging Cell 2023, 22 PMCID: PMC9924937, DOI: 10.1111/acel.13801.Peer-Reviewed Original ResearchPlatelet response to influenza vaccination reflects effects of aging
Konstorum A, Mohanty S, Zhao Y, Melillo A, Vander Wyk B, Nelson A, Tsang S, Blevins T, Belshe R, Chawla D, Rondina M, Gill T, Montgomery R, Allore H, Kleinstein S, Shaw A. Platelet response to influenza vaccination reflects effects of aging. Aging Cell 2023, 22: e13749. PMID: 36656789, PMCID: PMC9924941, DOI: 10.1111/acel.13749.Peer-Reviewed Original ResearchConceptsCommunity-dwelling older adultsPlatelet activationOlder adultsInfluenza vaccinationAge-associated chronic inflammationInfluence platelet functionRNA expressionPro-inflammatory diseasesAge-associated increasePlatelet activation pathwaysAge-associated differencesActivation pathwayPlatelet transcriptomeGeriatric conditionsChronic inflammationImmune responsePlatelet functionPlatelet responseSNF residentsVaccinationActivation responseYoung individualsProtein levelsAdultsYounger participants
2024
Integrated longitudinal multiomics study identifies immune programs associated with acute COVID-19 severity and mortality
Gygi J, Maguire C, Patel R, Shinde P, Konstorum A, Shannon C, Xu L, Hoch A, Jayavelu N, Haddad E, Network I, Reed E, Kraft M, McComsey G, Metcalf J, Ozonoff A, Esserman D, Cairns C, Rouphael N, Bosinger S, Kim-Schulze S, Krammer F, Rosen L, van Bakel H, Wilson M, Eckalbar W, Maecker H, Langelier C, Steen H, Altman M, Montgomery R, Levy O, Melamed E, Pulendran B, Diray-Arce J, Smolen K, Fragiadakis G, Becker P, Sekaly R, Ehrlich L, Fourati S, Peters B, Kleinstein S, Guan L. Integrated longitudinal multiomics study identifies immune programs associated with acute COVID-19 severity and mortality. Journal Of Clinical Investigation 2024, 134: e176640. PMID: 38690733, PMCID: PMC11060740, DOI: 10.1172/jci176640.Peer-Reviewed Original ResearchConceptsClinical outcomesImmune cascadeElevated levels of inflammatory cytokinesDisease severityLevels of inflammatory cytokinesFormation of neutrophil extracellular trapsAcute COVID-19 severityCritically ill patientsNeutrophil extracellular trapsDevelopment of therapiesCOVID-19 cohortCOVID-19 severityViral clearanceImmunosuppressive metabolitesDeep immunophenotypingMultiomic modelIFN-stimulated genesImmunophenotypic assessmentB cellsDisease courseEarly upregulationInflammatory cytokinesDisease progressionIFN inhibitorsExtracellular trapsHost-microbe multiomic profiling reveals age-dependent immune dysregulation associated with COVID-19 immunopathology
Phan H, Tsitsiklis A, Maguire C, Haddad E, Becker P, Kim-Schulze S, Lee B, Chen J, Hoch A, Pickering H, van Zalm P, Altman M, Augustine A, Calfee C, Bosinger S, Cairns C, Eckalbar W, Guan L, Jayavelu N, Kleinstein S, Krammer F, Maecker H, Ozonoff A, Peters B, Rouphael N, Montgomery R, Reed E, Schaenman J, Steen H, Levy O, Diray-Arce J, Langelier C, Erle D, Hendrickson C, Kangelaris K, Nguyen V, Lee D, Chak S, Ghale R, Gonzalez A, Jauregui A, Leroux C, Altamirano L, Rashid A, Willmore A, Woodruff P, Krummel M, Carrillo S, Ward A, Patel R, Wilson M, Dandekar R, Alvarenga B, Rajan J, Schroeder A, Fragiadakis G, Mick E, Guerrero Y, Love C, Maliskova L, Adkisson M, Ehrlich L, Melamed E, Rousseau J, Hurley K, Geltman J, Siles N, Rogers J, Kutzler M, Bernui M, Cusimano G, Connors J, Woloszczuk K, Joyner D, Edwards C, Lin E, Melnyk N, Powell D, Kim J, Goonewardene I, Simmons B, Smith C, Martens M, Croen B, Semenza N, Bell M, Furukawa S, McLin R, Tegos G, Rogowski B, Mege N, Ulring K, Holland S, Rosen L, Lee S, Vaysman T, Fernandez-Sesma A, Simon V, Van Bakel H, Gonzalez-Reiche A, Qi J, Carreño J, Singh G, Raskin A, Tcheou J, Khalil Z, van de Guchte A, Farrugia K, Khan Z, Kelly G, Srivastava K, Eaker L, Bermúdez González M, Mulder L, Beach K, Fatou B, Smolen K, Viode A, van Haren S, Jha M, Kho A, Milliren C, Chang A, McEnaney K, Barton B, Lentucci C, Murphy M, Saluvan M, Shaheen T, Liu S, Syphurs C, Albert M, Hayati A, Bryant R, Abraham J, Salehi-Rad R, Rivera A, Sen S, Elashoff D, Ward D, Presnell S, Kohr B, Arnett A, Boddapati A, Tharp G, Pellegrini K, Johnson B, Panganiban B, Huerta C, Anderson E, Samaha H, Sevransky J, Bristow L, Beagle E, Cowan D, Hamilton S, Hodder T, Esserman D, Brito A, Rothman J, Grubaugh N, Ko A, Hafler D, Shaw A, Gygi J, Pawar S, Konstorum A, Chen E, Cotsapas C, Wang X, Xu L, Dela Cruz C, Iwasaki A, Mohanty S, Nelson A, Zhao Y, Farhadian S, Asashima H, Pulendran B, Nadeau R, Rosenberg-Hasson Y, Leipold M, Sigal N, Rogers A, Fernandez A, Manohar M, Do E, Chang I, Vita R, Westendorf K, Corry D, Kheradmand F, Song L, Nelson E, Baden L, Mendez K, Lasky-Su J, Tong A, Rooks R, Sekaly R, Fourati S, McComsey G, Harris P, Sieg S, Ribeiro S, Overton J, Rahman A, Hutton S, Michelotti G, Wong K, Seyfert-Margolis V, Metcalf J, Agudelo Higuita N, Sinko L, Booth J, Messer W, Hough C, Siegel S, Sullivan P, Lu Z, Kraft M, Bime C, Mosier J, Erickson H, Schunk R, Kimura H, Conway M, Atkinson M, Brakenridge S, Ungaro R, Manning B, Oberhaus J, Guirgis F, Borresen B, Anderson M. Host-microbe multiomic profiling reveals age-dependent immune dysregulation associated with COVID-19 immunopathology. Science Translational Medicine 2024, 16: eadj5154. PMID: 38630846, DOI: 10.1126/scitranslmed.adj5154.Peer-Reviewed Original ResearchConceptsPro-inflammatory genesViral clearanceUpper airwayImmune signaling pathwaysInduction of pro-inflammatory genesBiomarkers of disease severityDelayed viral clearanceImpaired viral clearanceSevere coronavirus disease 2019B cell populationsAge-dependent up-regulationExpression of pro-inflammatory genesHost immune responseSignaling pathwayType I interferon gene expressionCOVID-19 immunopathologyInnate immune signaling pathwaysSerum chemokinesAge-dependent impairmentNaive TMulticenter cohortNasal transcriptomeAcute respiratory syndrome coronavirus 2Monocyte populationsSerum protein profilesIgM N-glycosylation correlates with COVID-19 severity and rate of complement deposition
Ozonoff A, Ehrlich L, Melamed E, Sesma A, Simon V, Pulendran B, Nadeau K, Davis M, McCoey G, Sekaly R, Baden L, Levy O, Schaenman J, Reed E, Shaw A, Hafler D, Montgomery R, Kleinstein S, Becker P, Augustine A, Calfee C, Erle D, DeBakey M, Corry D, Kheradmand F, Atkinson M, Brakenridge S, Higuita N, Metcalf J, Hough C, Messer W, Kraft M, Bime C, Peters B, Milliren C, Syphurs C, McEnaney K, Barton B, Lentucci C, Saluvan M, Chang A, Hoch A, Albert M, Shaheen T, Kho A, Liu S, Thomas S, Chen J, Murphy M, Cooney M, Hayati A, Bryant R, Abraham J, Jayavelu N, Presnell S, Jancsyk T, Maguire C, Qi J, Lee B, Fourati S, Esserman D, Guan L, Gygi J, Pawar S, Brito A, Fragiadakis G, Patel R, Overton J, Vita R, Westendorf K, Shannon C, Tebbutt S, Thyagarajan R, Rousseau J, Wylie D, Triplett T, Kojic E, Chinthrajah S, Ahuja N, Rogers A, Artandi M, Geng L, Yendewa G, Powell D, Kim J, Simmons B, Goonewardene I, Smith C, Martens M, Sherman A, Walsh S, Issa N, Salehi-Rad R, Dela Cruz C, Farhadian S, Iwasaki A, Ko A, Anderson E, Mehta A, Sevransky J, Seyfert-Margolis V, Leligdowicz A, Matthay M, Singer J, Kangelaris K, Hendrickson C, Krummel M, Langelier C, Woodruff P, Corry D, Kheradmand F, Anderson M, Guirgis F, Drevets D, Brown B, Siegel S, Lu Z, Mosier J, Kimura H, Khor B, van Bakel H, Rahman A, Stadlbauer D, Dutta J, Xie H, Kim-Schulze S, Gonzalez-Reiche A, van de Guchte A, Carreño J, Singh G, Raskin A, Tcheou J, Bielak D, Kawabata H, Kelly G, Patel M, Nie K, Yellin T, Fried M, Sullivan L, Morris S, Sieg S, Steen H, van Zalm P, Fatou B, Mendez K, Lasky-Su J, Hutton S, Michelotti G, Wong K, Jha M, Viode A, Kanarek N, Petrova B, Zhao Y, Bosinger S, Boddapati A, Tharp G, Pellegrini K, Beagle E, Cowan D, Hamilton S, Ribeiro S, Hodder T, Rosen L, Lee S, Wilson M, Dandekar R, Alvarenga B, Rajan J, Eckalbar W, Schroeder A, Tsitsiklis A, Mick E, Guerrero Y, Love C, Maliskova L, Adkisson M, Siles N, Geltman J, Hurley K, Saksena M, Altman D, Srivastava K, Eaker L, Bermúdez-González M, Beach K, Sominsky L, Azad A, Mulder L, Kleiner G, Lee A, Do E, Fernandes A, Manohar M, Hagan T, Blish C, Din H, Roque J, Yang S, Sigal N, Chang I, Tribout H, Harris P, Consolo M, Edwards C, Lee E, Lin E, Croen B, Semenza N, Rogowski B, Melnyk N, Bell M, Furukawa S, McLin R, Schearer P, Sheidy J, Tegos G, Nagle C, 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, Rooks R, Elashoff D, Brook J, Ramires-Sanchez E, Llamas M, Rivera A, Perdomo C, Ward D, Magyar C, Fulcher J, Pickering H, Sen S, Chaudhary O, Coppi A, Fournier J, Mohanty S, Muenker C, Nelson A, Raddassi K, Rainone M, Ruff W, Salahuddin S, Schulz W, Vijayakumar P, Wang H, Wunder E, Young H, Rothman J, Konstorum A, Chen E, Cotsapas C, Grubaugh N, Wang X, Xu L, Asashima H, Bristow L, Hussaini L, Hellmeister K, Samaha H, Wimalasena S, Cheng A, Spainhour C, Scherer E, Johnson B, Bechnak A, Ciric C, Hewitt L, Carter E, Mcnair N, Panganiban B, Huerta C, Usher J, Vaysman T, Holland S, Abe-Jones Y, Asthana S, Beagle A, Bhide S, Carrillo S, Chak S, 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, Thakur N, Vasquez J, Santhosh L, Song L, Nelson E, Moldawer L, Borresen B, Roth-Manning B, Ungaro R, Oberhaus J, Booth J, Sinko L, Brunton A, Sullivan P, Strnad M, Lyski Z, Coulter F, Micheleti C, Conway M, Francisco D, Molzahn A, Erickson H, Wilson C, Schunk R, Sierra B, Hughes T. IgM N-glycosylation correlates with COVID-19 severity and rate of complement deposition. Nature Communications 2024, 15: 404. PMID: 38195739, PMCID: PMC10776791, DOI: 10.1038/s41467-023-44211-0.Peer-Reviewed Original Research
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
Single cell immune profiling of dengue virus patients reveals intact immune responses to Zika virus with enrichment of innate immune signatures
Zhao Y, Amodio M, Vander Wyk B, Gerritsen B, Kumar MM, van Dijk D, Moon K, Wang X, Malawista A, Richards MM, Cahill ME, Desai A, Sivadasan J, Venkataswamy MM, Ravi V, Fikrig E, Kumar P, Kleinstein SH, Krishnaswamy S, Montgomery RR. Single cell immune profiling of dengue virus patients reveals intact immune responses to Zika virus with enrichment of innate immune signatures. PLOS Neglected Tropical Diseases 2020, 14: e0008112. PMID: 32150565, PMCID: PMC7082063, DOI: 10.1371/journal.pntd.0008112.Peer-Reviewed Original ResearchConceptsZika virusCell subsetsDengue virusConcurrent dengue infectionInnate cell responsesInnate immune signaturesVirus-infected individualsDivergent clinical outcomesMosquito-borne human pathogenIntact immune responsePre-existing infectionInnate cell typesSingle-cell immune profilingPublic health importanceCell typesImmune signaturesVirus patientsWest Nile virusAcute patientsClinical outcomesImmune profilingDengue infectionImmune statusFunctional statusImmune cells
2017
Multicohort analysis reveals baseline transcriptional predictors of influenza vaccination responses
Avey S, Cheung F, Fermin D, Frelinger J, Gaujoux R, Gottardo R, Khatri P, Kleinstein S, Kotliarov Y, Meng H, Sauteraud R, Shen-Orr S, Tsang J, Vallania F, Anguiano E, Baisch J, Baldwin N, Belshe R, Blevins T, Chaussabel D, Davis M, Fikrig E, Grill D, Hafler D, Henrich E, Joshi S, Kaech S, Kennedy R, Mohanty S, Montgomery R, Oberg A, Obermoser G, Ovsyannikova I, Palucka A, Pascual V, Poland G, Pulendran B, Reinherz E, Shaw A, Siconolfi B, Stuart K, Tsang S, Ueda I, Wilson J, Zapata H. Multicohort analysis reveals baseline transcriptional predictors of influenza vaccination responses. Science Immunology 2017, 2 PMID: 28842433, PMCID: PMC5800877, DOI: 10.1126/sciimmunol.aal4656.Peer-Reviewed Original ResearchAntibody responseInfluenza vaccination responsesVaccination responseHuman Immunology Project ConsortiumInfluenza vaccinationMulticohort analysisOlder individualsLower vaccine responsesSuccessful vaccination responseAnnual influenza vaccinationYoung individualsSubstantial antibody responseInflammatory gene signatureLarge independent studiesIndividuals 6 monthsGood antibody responsePublic health successImmune profiling studiesVaccination cohortVaccine responsesCell subsetsSmall cohortWorse responseVaccinationHealth success
2015
Neutralizing antibodies against West Nile virus identified directly from human B cells by single-cell analysis and next generation sequencing
Tsioris K, Gupta NT, Ogunniyi AO, Zimnisky RM, Qian F, Yao Y, Wang X, Stern JN, Chari R, Briggs AW, Clouser CR, Vigneault F, Church GM, Garcia MN, Murray KO, Montgomery RR, Kleinstein SH, Love JC. Neutralizing antibodies against West Nile virus identified directly from human B cells by single-cell analysis and next generation sequencing. Integrative Biology 2015, 7: 1587-1597. PMID: 26481611, PMCID: PMC4754972, DOI: 10.1039/c5ib00169b.Peer-Reviewed Original ResearchConceptsHumoral responseNext-generation sequencingB cellsWest Nile virus infectionSevere neurological illnessMemory B cellsAntibody-secreting cellsCohort of subjectsWNV-specific antibodiesHuman B cellsMosquito-borne diseaseWest Nile virusAnamnestic responseAntibody responseAvailable treatmentsClinical severityAntibody isotypesNeurological illnessVaccine studiesVirus infectionGeneration sequencingInfectious diseasesPrevious exposureTherapeutic antibodiesAntibodies
2014
Systems Immunology Reveals Markers of Susceptibility to West Nile Virus Infection
Qian F, Goel G, Meng H, Wang X, You F, Devine L, Raddassi K, Garcia MN, Murray KO, Bolen CR, Gaujoux R, Shen-Orr SS, Hafler D, Fikrig E, Xavier R, Kleinstein SH, Montgomery RR. Systems Immunology Reveals Markers of Susceptibility to West Nile Virus Infection. MSphere 2014, 22: 6-16. PMID: 25355795, PMCID: PMC4278927, DOI: 10.1128/cvi.00508-14.Peer-Reviewed Original ResearchConceptsWest Nile virus infectionVirus infectionMyeloid dendritic cellsMarker of susceptibilityPotential therapeutic strategySeverity of infectionSevere neurological diseaseOlder patientsAcute infectionDendritic cellsCXCL10 expressionDetectable yearsImmunity-related genesStratified cohortWNV infectionTherapeutic strategiesPathogenic mechanismsAnimal studiesNeurological diseasesDisease severityVivo infectionPredictive signatureInfectionProminent alterationsPrimary cellsImmune Markers Associated with Host Susceptibility to Infection with West Nile Virus
Qian F, Thakar J, Yuan X, Nolan M, Murray KO, Lee WT, Wong SJ, Meng H, Fikrig E, Kleinstein SH, Montgomery RR. Immune Markers Associated with Host Susceptibility to Infection with West Nile Virus. Viral Immunology 2014, 27: 39-47. PMID: 24605787, PMCID: PMC3949440, DOI: 10.1089/vim.2013.0074.Peer-Reviewed Original ResearchConceptsWest Nile virusSevere infectionsImmune markersIL-4IL-4 levelsSerum cytokine levelsSerum IL-4Nile virusSignificant risk factorsImmune system statusPeripheral blood cellsSevere neurological diseaseCytokine levelsAntibody levelsImmune statusRisk factorsHealthy subjectsStratified cohortWNV infectionNeurological diseasesInfectionAltered expression levelsBlood cellsAltered gene expression patternsHost susceptibility
2012
Impaired Toll-Like Receptor 3-Mediated Immune Responses from Macrophages of Patients Chronically Infected with Hepatitis C Virus
Qian F, Bolen CR, Jing C, Wang X, Zheng W, Zhao H, Fikrig E, Bruce RD, Kleinstein SH, Montgomery RR. Impaired Toll-Like Receptor 3-Mediated Immune Responses from Macrophages of Patients Chronically Infected with Hepatitis C Virus. MSphere 2012, 20: 146-155. PMID: 23220997, PMCID: PMC3571267, DOI: 10.1128/cvi.00530-12.Peer-Reviewed Original ResearchMeSH KeywordsAdultFemaleGene ExpressionGenotypeHepacivirusHepatitis C, ChronicHumansInflammationInterferon-betaInterferonsInterleukinsLeukocytes, MononuclearMacrophagesMalePhosphorylationPolymorphism, Single NucleotideSignal TransductionSTAT1 Transcription FactorToll-Like Receptor 3Tumor Necrosis Factor-alphaViral LoadConceptsToll-like receptor 3Peripheral blood mononuclear cellsHepatitis C virusImmune responseHCV patientsC virusExpression of TLR3Clearance of HCVCommon chronic blood-borne infectionElevated innate immune responseImpaired toll-like receptorPrimary macrophagesHCV genotype 1Ongoing inflammatory responseMajority of patientsBlood-borne infectionsBlood mononuclear cellsToll-like receptorsIFN response genesPotential therapeutic approachInnate immune responseMacrophages of patientsElevated baseline expressionTLR3 pathwayViral clearance
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