The Impact of SARS-CoV-2 Infection and Vaccination on the Risk of Alzheimer’s Disease and Related Dementias
The Impact of SARS-CoV-2 Infection and Vaccination on the Risk of Alzheimer’s Disease and Related Dementias
批准号:
10729916
负责人:
Jingxuan Wang
金额:
$4.21万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-12-01 至 2025-11-30
关键词:
2019-nCoVAddressAffectAgingAlzheimer disease preventionAlzheimer&aposs DiseaseAlzheimer&aposs disease diagnosisAlzheimer&aposs disease related dementiaAlzheimer&aposs disease riskAtherosclerosisBiologicalBiologyBlood VesselsBrainBrain regionCOVID-19COVID-19 diagnosisCOVID-19 impactCOVID-19 pandemicCOVID-19 survivorsCOVID-19 vaccinationCaliforniaCaringCentral Nervous SystemClinicalClinical DataClinical assessmentsCognitionCognitiveCognitive agingCohort StudiesCommunicable DiseasesDataData SetDementiaDiagnosisDiseaseEarly treatmentElderlyElectronic Health RecordEmotionalEnvironmentEpidemiologic MethodsFoundationsFutureGeneral HospitalsGoalsHealth SurveysHealth and Retirement StudyHealthcareHypoxiaImmuneImmune responseImpaired cognitionIndividualInfectionInflammatoryKnowledgeLinkLong-Term EffectsMagnetic Resonance ImagingMassachusettsMediatingMedicare claimMemoryMentorshipMethodologyMethodsNerve DegenerationNeurologic DeficitOutcomeParahippocampal GyrusParticipantPathologyPersonsPhasePostdoctoral FellowPrevalencePreventionPublic HealthRecording of previous eventsResearchResearch ActivityResearch PersonnelResource AllocationRiskRisk ReductionRoleSARS-CoV-2 B.1.617.2SARS-CoV-2 infectionSARS-CoV-2 variantSan FranciscoScienceShapesSmell PerceptionStatistical MethodsStructureSurvival AnalysisSymptomsThickTimeTrainingTraining ActivityUniversitiesVaccinationVariantViralVirusWorkaging populationbiobankbrain healthbrain magnetic resonance imagingcareerclassification algorithmclinical diagnosiscognitive changecohortdementia riskdisorder riskdiverse dataelectronic health dataendothelial dysfunctionepidemiology studyexperiencehigh riskimprovedinnovationlongitudinal datasetmachine learning methodmultiple data sourcesneuroimagingneuroinflammationnoveloxidative damagepandemic diseasepost SARS-CoV-2 infectionpost-COVID-19skillswhite matter
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PROJECT SUMMARY/ABSTRACT
The growing prevalence of Alzheimer’s disease and Alzheimer’s related disorders (ADRD) is a critical public
health concern, potentially exacerbated by the COVID-19 pandemic. Infectious diseases may increase ADRD
risk by causing neuroinflammation and oxidative damage in the central nervous system, promoting
atherosclerosis and endothelial dysfunction, or via other inflammatory, immune-response, and vascular
mechanisms. Despite intriguing links between several infectious and neurodegenerative conditions, whether
and how infectious diseases influence ADRD risk remains underexplored. This question is urgent especially
during the COVID-19 pandemic, where the widespread SARS-CoV-2 infection has heavily impacted global
public health. Mounting evidence suggests a significant fraction of those infected with SARS-CoV-2 may
experience substantial and long-lasting sequelae, including cognitive decline and neurologic deficits. Many
unknowns remain, including long-term outcomes and the role of COVID-19 vaccination and viral variants in
modifying the effect of SARS-CoV-2 infection on cognitive decline and ADRD risk. This proposed F99/K00
project seeks to address these gaps with two specific aims using complementary longitudinal datasets and
rigorous, advanced epidemiological and statistical methods. Aim 1 (F99 dissertation phase: 2023-2025) will
use the previously identified COVID-19 brain magnetic resonance imaging (MRI) signature region to infer the
long-term effects of infection on ADRD risk via brain structure changes. The COVID-19 MRI signature region
comprises brain regions where cortical thickness and gray-white matter contrast was reduced after SARS-
CoV-2 infection (identified in a longitudinal MRI study). The candidate will quantify the association between the
COVID-19 MRI signature region and future ADRD risk among UK Biobank participants. Aim 2 (K00
postdoctoral phase: 2025-2029) will evaluate the effects of vaccination status and timing of SARS-CoV-2
infection on cognitive outcomes and ADRD among COVID-19 survivors. The candidate will use data from
electronic health records (EHR) and a nationally representative cohort. Methodological innovations include the
use of neuroimaging, causal survival analysis, machine learning methods for classification algorithms, as well
as multiple data sources (i.e., clinical data from EHR and survey data from cohort studies). This proposal
directly responds to the call to study the impact of COVID-19 on risk of ADRD and cognition from the National
Alzheimer's Project Act (NAPA). The proposal extends the candidate’s quantitative expertise with advanced
training in clinical and biological perspectives on ADRD as well as causal inference methods for aging
research. Strong interdisciplinary mentorship teams and outstanding supportive training environments at the
University of California, San Francisco (F99) and the Massachusetts General Hospital (K00) provide a
foundation for the candidate to fill an important scientific gap on infectious disease and immune-related
determinants of cognitive aging and ADRD, including infection with SARS-CoV-2.
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