Giant MagnetoResistive (GMR) Sensors for Measuring Influenza Vaccine
Giant MagnetoResistive (GMR) Sensors for Measuring Influenza Vaccine
批准号:
9975682
负责人:
PAUL JOSEPH UTZ
金额:
$84.2万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-08-10 至 2022-07-31
关键词:
ATAC-seqAgingB cell repertoireBig DataBioinformaticsBiologicalBiological AssayBiological MarkersBiological ProcessBiologyBlood specimenCEB1 GeneCell surfaceClinicClinicalCommunicable DiseasesComplexDNAData SetEmerging Communicable DiseasesEnrollmentEvaluationEventFlow CytometryFoundationsFundingGenesGoalsHepatitis B AntibodiesHumanIFI6 geneImmuneImmunityImmunologic MonitoringImmunologyInfectionInfectious AgentInfluenzaInfluenza vaccinationLY6E geneMeasurementMeasuresMessenger RNAMicrofluidicsNational Institute of Allergy and Infectious DiseaseOutcomePathway interactionsPatient-Focused OutcomesPatientsPeptidesPlasmaProteinsRNARecoveryResearchSamplingSerumSignal TransductionSystemSystems BiologyT-LymphocyteTechnologyTestingTimeTranscriptTranslatingTranslationsVaccinationVaccinesValidationViral VaccinesVirus Diseasesassay developmentbasebiomarker panelcohortcytokineflexibilitygenetic signaturehuman subjectimproved outcomeinfluenza virus vaccineinfluenzavirusmultidisciplinarynew therapeutic targetpathogenpredicting responsepredictive markerpredictive signaturepriority pathogenresponserural settingseasonal influenzasensortranscriptome sequencingvaccine 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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Giant MagnetoResistive (GMR) Sensors for Measuring Influenza Vaccine
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资助金额:$100.0万
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依托单位:
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财政年份:2005
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依托单位:
Training Program in Adult and Pediatric Rheumatology
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批准号:8262328
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资助金额:$39.94万
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财政年份:2005
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负责人:PAUL JOSEPH UTZ
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依托单位:
Lysate Arrays for Studying the Diabetes Proteome
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批准号:7021497
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资助金额:$27.02万
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财政年份:2005
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依托单位:
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依托单位:
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依托单位:
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Multiplex Autoantibody Profiling in SLE
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依托单位:
海外基金