Giant MagnetoResistive (GMR) Sensors for Measuring Influenza Vaccine
Giant MagnetoResistive (GMR) Sensors for Measuring Influenza Vaccine
批准号:
10317652
负责人:
PAUL JOSEPH UTZ
金额:
$15.8万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-08-01 至 2022-07-31
关键词:
2019-nCoVATAC-seqAffectAgingAntibodiesAntigensAutoantibodiesAutoantigensAutoimmune DiseasesAutoimmunityB cell repertoireBig DataBindingBioinformaticsBiologicalBiological AssayBiological MarkersBiological ProcessBiologyBlood specimenCEB1 GeneCOVID-19COVID-19 pathogenesisCOVID-19 patientCell surfaceClinicClinicalCo-ImmunoprecipitationsCoagulation ProcessCommunicable DiseasesComplexCoronavirusCustomDNAData SetDevelopmentDiseaseEmerging Communicable DiseasesEndotheliumEnrollmentEvaluationEventFlow CytometryFoundationsFundingGenerationsGenesGeographyGoalsHealthcare SystemsHepatitis B AntibodiesHumanIFI6 geneImmuneImmunityImmunoglobulin GImmunologic MonitoringImmunologyInfectionInfectious AgentInflammatory ResponseInfluenzaInfluenza vaccinationLY6E geneLeadLungMeasurementMeasuresMediatingMessenger RNAMicrofluidicsMolecular MimicryNational Institute of Allergy and Infectious DiseaseOutcomePathogenicityPathway interactionsPatient-Focused OutcomesPatientsPeptidesPlasmaProteinsRNARecoveryResearchSamplingSerumSignal TransductionSkinSystemSystems BiologyT-LymphocyteTechniquesTechnologyTestingTranscriptTranslatingTranslationsVaccinationVaccinesValidationVascular DiseasesViralViral ProteinsViral VaccinesVirus Diseasesassay developmentautoinflammatorybasebiomarker panelbiomarker signaturecohortcross reactivitycytokinecytokine release syndromeendothelial dysfunctionepidemiology studyexperimental studyflexibilitygenetic signaturehuman subjectimproved outcomeinfluenza infectioninfluenza virus vaccinemultidisciplinarymultiplex assaymutantnew therapeutic targetpathogenpredicting responsepredictive markerpredictive signaturepriority pathogenreceptorresponserural settingseasonal influenzasensortissue injurytranscriptome sequencingvaccination outcomevaccine responsevaccine trial
中文摘要
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英文摘要
7. Project Summary/Abstract
The overarching goal of this New Aim 4 is to test the hypothesis that SARS-CoV-2 (CoV-2) causes autoimmune
disease (AI) in a subset of infected patients. Our preliminary studies on 336 COVID-19 samples from 282 COVID19 patients (four COVID-19 cohorts in three geographically distinct regions) have identified autoantibodies and
clinical evidence of AI. To test the hypothesis that autoantibodies develop following CoV-2 infection, we will use
autoantigen arrays to identify proteins targeted by autoantibodies, some of which may cause pathogenic
inflammatory responses that could mediate lung, skin, and other tissue injury, dysregulated coagulation,
endothelial dysfunction, and vasculopathy. We will then test the hypothesis that autoantibodies develop through
different mechanisms including molecular mimicry and generation of receptor-blocking anti-cytokine antibodies
(ACA) in response to “cytokine storm”. We hypothesize that infection with CoV-2 induces 2 different outcomes:
(i) the desired outcome - protective responses that neutralize CoV-2; or (ii) pathogenic responses that lead to
symptomatic autoimmunity or autoinflammatory disease. Aim 4.1 will test the hypothesis that CoV-2 causes
development of autoantibodies and classifiable autoimmune diseases by leveraging our custom “COVID-19
Autoantigen Array” comprising common autoantigens from diseases that affect the lung, endothelium and skin.
Aim 4.2 will characterize serum antibodies specific for proteins from CoV-2 and other coronaviruses, and
correlate with autoantibodies in Aim 1, by using our “COVID-19 Viral Array” capable of simultaneously
quantitating antibodies against many different wild-type and mutant viral proteins and peptides. Viral responses
will be correlated with clinical outcomes including development of autoantibodies, and progression to clinical
autoimmunity. Aim 4.3 will test the hypothesis that CoV-2 causes autoimmunity through mechanisms including
cross-reactivity (molecular mimicry) and cytokine storm which generates receptor-blocking ACA. We will use a
variety of lab-based techniques to explore these mechanisms, including purification of antigen-specific IgG from
serum, co-immunoprecipitation, and cross-binding assays. Together, the proposed experiments will begin to
quantify the impact of CoV-2 on AI, identify which antigens and specific AI are associated with CoV-2, and
contribute to our mechanistic understanding of COVID-19 pathogenesis, setting the stage for large-scale
epidemiology studies to determine the extent of autoimmunity that results from CoV-2 infection, as well as longterm impacts on the health care system and economy.
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DOI:
10.3389/fimmu.2022.833636
发表时间:
2022
期刊:
Frontiers in immunology
影响因子:
7.3
作者:
[Yiu G, Rasmussen TK, Tsai BL, Diep VK, Haddon DJ, Tsoi J, Miller GD, Comin-Anduix B, Deleuran B, Crooks GM, Utz PJ]
通讯作者:
Utz PJ
DOI:
10.1038/s41467-023-42541-7
发表时间:
2023-10-31
期刊:
NATURE COMMUNICATIONS
影响因子:
16.6
作者:
[Fahlquist-Hagert, Cecilia, Wittenborn, Thomas R., Terczynska-Dyla, Ewa, Kastberg, Kristian Savstrup, Yang, Emily, Rallistan, Alysa Nicole, Markett, Quinton Raymond, Winther, Gudrun, Fonager, Sofie, Voss, Lasse F., Pedersen, Mathias K., van Campen, Nina, Ferapontov, Alexey, Jensen, Lisbeth, Huang, Jinrong, Nieland, John D., van der Poel, Cees E., Palmfeldt, Johan, Carroll, Michael C., Utz, Paul J., Luo, Yonglun, Lin, Lin, Degn, Soren E.]
通讯作者:
Degn, Soren E.
DOI:
10.1016/j.bios.2018.10.018
发表时间:
2019-01-15
期刊:
Biosensors & bioelectronics
影响因子:
12.6
作者:
[Nesvet J, Rizzi G, Wang SX]
通讯作者:
Wang SX
DOI:
10.1038/s41598-018-34720-0
发表时间:
2018-11-07
期刊:
Scientific reports
影响因子:
4.6
作者:
[Kim K, Hall DA, Yao C, Lee JR, Ooi CC, Bechstein DJB, Guo Y, Wang SX]
通讯作者:
Wang SX
Epigenetic Histone Landscape Profiles in HIV
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批准号:10535173
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财政年份:2021
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负责人:PAUL JOSEPH UTZ
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依托单位:
Giant MagnetoResistive (GMR) Sensors for Measuring Influenza Vaccine
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批准号:9975682
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Giant MagnetoResistive (GMR) Sensors for Measuring Influenza Vaccine
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Giant MagnetoResistive (GMR) Sensors for Measuring Influenza Vaccine
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项目类别:
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ACE: Autoimmunity Center of Excellence (ACE) at Stanford
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