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 interactionsAlterations in high‐dimensional T‐cell profile and gene signature of immune aging in HIV‐infected older adults without viremia
Shin MS, Park H, Salahuddin S, Montgomery RR, Emu B, Shaw AC, Kang I. Alterations in high‐dimensional T‐cell profile and gene signature of immune aging in HIV‐infected older adults without viremia. Aging Cell 2022, 21: e13702. PMID: 36036630, PMCID: PMC9577958, DOI: 10.1111/acel.13702.Peer-Reviewed Original ResearchConceptsOlder human immunodeficiency virusPeripheral blood mononuclear cellsHuman immunodeficiency virusAntiretroviral therapyT cellsDetectable viremiaMemory CD8HIV infectionAge-associated immune alterationsYoung human immunodeficiency virusReplication-competent HIV-1Combination antiretroviral therapyEffector memory CD8T-cell countsSubset of CD4T cell profileBlood mononuclear cellsAgeing-associated genesEM CD8Immune alterationsMemory CD4Immune agingImmunodeficiency virusInflammatory moleculesMononuclear cellsPhenotypes 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
Prior 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 strategiesPD-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
IgM 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 protocolsPatientsDesign and implementation of a prospective cohort study of persons living with and without HIV infection who are initiating medication treatment for opioid use disorder
Biondi BE, Mohanty S, Vander Wyk BV, Montgomery RR, Shaw AC, Springer SA. Design and implementation of a prospective cohort study of persons living with and without HIV infection who are initiating medication treatment for opioid use disorder. Contemporary Clinical Trials Communications 2021, 21: 100704. PMID: 33490708, PMCID: PMC7807244, DOI: 10.1016/j.conctc.2021.100704.Peer-Reviewed Original ResearchOpioid use disorderProspective cohort studyHIV infectionCohort studyMedication treatmentUse disordersDSM-5 opioid-use disordersLongitudinal studyBiological effectsHIV continuumMonth 6Immune responseDifferential biological effectsMOUDHIVSystems biology approachInfectionTreatmentDSM-5DisordersPersonsBiology approachMedicationsBuprenorphineMethadone
2019
Transcriptomic analysis of human IL-7 receptor alphalow and higheffector memory CD8+ T cells reveals an age-associated signature linked to influenza vaccine response in older adults
Park H, Shin M, Kim M, Bilsborrow J, Mohanty S, Montgomery R, Shaw A, Yoo S, Kang I. Transcriptomic analysis of human IL-7 receptor alphalow and higheffector memory CD8+ T cells reveals an age-associated signature linked to influenza vaccine response in older adults. The Journal Of Immunology 2019, 202: 181.22-181.22. DOI: 10.4049/jimmunol.202.supp.181.22.Peer-Reviewed Original ResearchPeripheral blood cellsPeripheral blood mononuclear cellsInfluenza vaccine responsesT cellsEM CD8Memory CD8Vaccine responsesOlder adultsBlood cellsSignature genesEffector memory CD8Blood mononuclear cellsHuman peripheral whole bloodAge-associated expansionPeripheral whole bloodGene expression profilesAge-associated changesMeta-analysis studyGlobal transcriptomic profilesMononuclear cellsCD8Expression profilesSignificant associationTranscription factorsWhole bloodDissecting alterations in human CD8+ T cells with aging by high-dimensional single cell mass cytometry
Shin MS, Yim K, Moon K, Park HJ, Mohanty S, Kim JW, Montgomery RR, Shaw AC, Krishnaswamy S, Kang I. Dissecting alterations in human CD8+ T cells with aging by high-dimensional single cell mass cytometry. Clinical Immunology 2019, 200: 24-30. PMID: 30659916, PMCID: PMC6443094, DOI: 10.1016/j.clim.2019.01.005.Peer-Reviewed Original Research
2017
Aging impairs both primary and secondary RIG-I signaling for interferon induction in human monocytes
Molony RD, Nguyen JT, Kong Y, Montgomery RR, Shaw AC, Iwasaki A. Aging impairs both primary and secondary RIG-I signaling for interferon induction in human monocytes. Science Signaling 2017, 10 PMID: 29233916, PMCID: PMC6429941, DOI: 10.1126/scisignal.aan2392.Peer-Reviewed Original ResearchConceptsType I IFNsI IFNsI interferonOlder adultsIFN inductionRetinoic acid-inducible gene IAcid-inducible gene IHealthy human donorsType I interferonRespiratory influenzaProinflammatory cytokinesVirus infectionType I IFN genesAdult monocytesAntiviral resistanceTranscription factor IRF8IFN responseHuman donorsMonocytesIncreased proteasomal degradationHuman monocytesYoung adultsIRF8 expressionIAV RNAInfected cellsMulticohort 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
2016
Mx1 reveals innate pathways to antiviral resistance and lethal influenza disease
Pillai PS, Molony RD, Martinod K, Dong H, Pang IK, Tal MC, Solis AG, Bielecki P, Mohanty S, Trentalange M, Homer RJ, Flavell RA, Wagner DD, Montgomery RR, Shaw AC, Staeheli P, Iwasaki A. Mx1 reveals innate pathways to antiviral resistance and lethal influenza disease. Science 2016, 352: 463-466. PMID: 27102485, PMCID: PMC5465864, DOI: 10.1126/science.aaf3926.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdultAgedAged, 80 and overAnimalsBacterial InfectionsCaspase 1CaspasesCaspases, InitiatorFemaleHumansImmunity, InnateInfluenza A virusInfluenza, HumanInterferon-betaMaleMembrane GlycoproteinsMiceMonocytesMyxovirus Resistance ProteinsNeutrophilsOrthomyxoviridae InfectionsRespiratory Tract InfectionsToll-Like Receptor 7Viral LoadYoung AdultConceptsBacterial burdenAntiviral resistanceNeutrophil-dependent tissue damageMyD88-dependent signalingAntiviral interferon productionCaspase-1/11IAV diseaseViral loadInfluenza diseaseOlder humansTissue damageInterferon productionInflammasome responseOlder adultsTLR7Vivo consequencesDiseaseMiceIAVBurdenMx geneHumansMonocytesMortalityInfluenza
2015
Paradoxical changes in innate immunity in aging: recent progress and new directions
Montgomery RR, Shaw AC. Paradoxical changes in innate immunity in aging: recent progress and new directions. Journal Of Leukocyte Biology 2015, 98: 937-943. PMID: 26188078, PMCID: PMC4661037, DOI: 10.1189/jlb.5mr0315-104r.Peer-Reviewed Original ResearchConceptsImmune responseInnate immune changesInnate immune responseCytokine levelsInappropriate elevationImmune changesNaïve cell populationT cellsAdaptive immunityViral infectionParadoxical increaseInnate immunityMultiple cell typesParadoxical changesCell populationsActivation stateImmunityCell typesSevere consequencesResponseTissue contextImmunosenescenceVaccinationPopulationInfection
2014
Chitinase 3–Like 1 Suppresses Injury and Promotes Fibroproliferative Responses in Mammalian Lung Fibrosis
Zhou Y, Peng H, Sun H, Peng X, Tang C, Gan Y, Chen X, Mathur A, Hu B, Slade MD, Montgomery RR, Shaw AC, Homer RJ, White ES, Lee CM, Moore MW, Gulati M, Lee CG, Elias JA, Herzog EL. Chitinase 3–Like 1 Suppresses Injury and Promotes Fibroproliferative Responses in Mammalian Lung Fibrosis. Science Translational Medicine 2014, 6: 240ra76. PMID: 24920662, PMCID: PMC4340473, DOI: 10.1126/scitranslmed.3007096.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisCHI3L1 levelsChitinase 3Lungs of patientsAlternative macrophage activationLevel of apoptosisAcute exacerbationFibroproliferative repairLung transplantationDisease exacerbationInjury phaseAmbulatory patientsEpithelial injuryPulmonary fibrosisIPF populationLung fibrosisMacrophage accumulationCHI3L1 expressionFibrotic phaseDisease progressionProfibrotic roleFibroproliferative responseMacrophage activationMyofibroblast transformationProtective roleHuman monocytes have increased IFN-γ-mediated IL-15 production with age alongside altered IFN-γ receptor signaling
Lee N, Shin MS, Kang KS, Yoo SA, Mohanty S, Montgomery RR, Shaw AC, Kang I. Human monocytes have increased IFN-γ-mediated IL-15 production with age alongside altered IFN-γ receptor signaling. Clinical Immunology 2014, 152: 101-110. PMID: 24657713, PMCID: PMC4018768, DOI: 10.1016/j.clim.2014.03.003.Peer-Reviewed Original Research
2013
Age-dependent dysregulation of innate immunity
Shaw AC, Goldstein DR, Montgomery RR. Age-dependent dysregulation of innate immunity. Nature Reviews Immunology 2013, 13: 875-887. PMID: 24157572, PMCID: PMC4096436, DOI: 10.1038/nri3547.Peer-Reviewed Original ResearchConceptsMetabolic syndromeIntracellular killingInnate immunityToll-like receptor functionNeutrophil extracellular trap formationBasal cytokine productionInnate immune dysregulationDendritic cell populationsMonocyte-derived DCsChronic viral infectionsMyeloid cells-1Pro-inflammatory milieuChronic inflammatory conditionsInnate immune activationVirus-infected macrophagesExtracellular trap formationAge-dependent dysregulationInnate immune systemPattern recognition receptorsAge-associated alterationsMacrophage colony-stimulating factorGranulocyte/macrophage colony-stimulating factorColony-stimulating factorTLR expressionImmune dysregulationFunctional Polymorphisms in the Gene Encoding Macrophage Migration Inhibitory Factor Are Associated With Gram-Negative Bacteremia in Older Adults
Das R, Subrahmanyan L, Yang IV, van Duin D, Levy R, Piecychna M, Leng L, Montgomery RR, Shaw A, Schwartz DA, Bucala R. Functional Polymorphisms in the Gene Encoding Macrophage Migration Inhibitory Factor Are Associated With Gram-Negative Bacteremia in Older Adults. The Journal Of Infectious Diseases 2013, 209: 764-768. PMID: 24158957, PMCID: PMC3923543, DOI: 10.1093/infdis/jit571.Peer-Reviewed Original ResearchConceptsMacrophage migration inhibitory factorMigration inhibitory factorLow expressionOlder adultsInhibitory factorSurface Toll-like receptor 4Toll-like receptor 4Gram-negative bacteremiaPeripheral blood monocytesNegative bacterial infectionsMIF productionImmune mediatorsNegative bacteremiaHealthy controlsReceptor 4Blood monocytesOlder subjectsBacterial infectionsFunctional polymorphismsHigh expressionBacteremiaAdultsExpressionPatientsCohort
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply