Integrated point-of-care diagnostic and data reporting platform for emerging arboviruses
Integrated point-of-care diagnostic and data reporting platform for emerging arboviruses
批准号:
10080060
负责人:
Bobby Brooke Herrera
金额:
$79.99万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-08-10 至 2022-07-31
关键词:
Absorbent PadsAcuteAedesAffectAlphavirusAntibodiesAntigensArbovirusesArchivesAreaArthropod VectorsBar CodesBedside TestingsBiological AssayBlood group antigen SBrazilBuffersCar PhoneCare Technology PointsCharacteristicsChikungunya virusClinicalClinical Decision Support SystemsColombiaCulicidaeDataData AnalyticsData ReportingDatabasesDengueDetectionDevelopmentDiagnosticDiagnostic testsDisease OutbreaksElectronic Health RecordEnzyme-Linked Immunosorbent AssayEpidemiologyEquipmentEvaluationFDA approvedFeasibility StudiesFlavivirusFundingGoldHealthHealth PersonnelHealthcareHumanHuman ResourcesImageIncidenceIndividualInfectionInfection ControlInformaticsInstructionLaboratoriesLateralLeadMetadataMethodsMexicoMonitorMonoclonal AntibodiesNational Institute of Allergy and Infectious DiseaseNonstructural ProteinPathogenicityPatientsPerformancePhasePlasmaPreparationProcessProductionRecombinantsReportingReproducibilityResourcesReverse Transcriptase Polymerase Chain ReactionSamplingSerologicalSerumSiteSmall Business Innovation Research GrantSourceSystemTelephoneTest ResultTestingTherapeuticTherapeutic InterventionTimeTrainingValidationViralViral AntigensVirusVirus DiseasesWhole BloodZIKAZika Virusaccurate diagnosisbasechikungunyaclinical decision supportcommercializationcostcross reactivitydata dictionarydesigndigitalevidence basefield studyhealth care service organizationinfection burdeninfection rateinnovationinteroperabilitynew technologynovelpathogenpoint of carepoint-of-care diagnosticspreclinical evaluationprospectiveprospective testprototyperepositoryscale upskillssmartphone Applicationtooltransmission processviral detection
中文摘要
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英文摘要
Summary
Over 2 billion people live in areas that are affected by the transmission of arthropod-borne viruses
(arboviruses) such as the flaviviruses dengue (DENV) and Zika (ZIKV), and the alphavirus chikungunya (CHIKV).
These arboviruses are pathogenic and cause millions of infections annually. While the surveillance is critical to
understanding infection rates, controlling outbreaks, and informing patient therapeutic efforts, there is no FDA-
approved method to simultaneously detect multiple arboviral antigens at the point-of-care and analyze,
document, and report data in real-time. In Phase I, we developed non-multiplexed tests for pan-DENV
nonstructural protein 1 (NS1), ZIKV NS1, and CHIKV envelope (E) (SimPlex) and a 3-in-1, multiplexed test for
all three viral antigens (3Plex). These tests were evaluated in the laboratory and using archived, de-identified
patient samples. Additionally, we developed a mobile smartphone application to image capture test results, geo-
locate where the image was captured, and upload the data to a central server for epidemiological mapping. In
Phase II, we propose to finalize development of the SimPlex and 3Plex tests and enhance our digital platform
for real-time metadata reporting to support therapeutic intervention and outbreak management. Our proposed
SimPlex and 3Plex tests are low-cost, point-of-care tests that can be done in the field without moving parts, or
the necessity of trained personnel, expensive equipment, or a centralized laboratory. In Aim 1, we will scale up
production of lead monoclonal antibodies specific for DENV, ZIKV, and CHIKV antigens. In Aim 2, we will
optimize SimPlex and 3Plex tests for whole blood detection of DENV, ZIKV, and CHIKV antigens. In Aim 3, we
will produce multiple lots of SimPlex and 3Plex tests under GMP for pre-clinical evaluation using prospectively
collected samples in Colombia and Brazil. In Aim 4, we will develop and informatic healthcare databased for fast
integration of SimPlex and 3Plex test result data with electronic health record repositories; the digital platform
will be evaluated in Colombia and Brazil. This project is innovative because it is the first platform that allows
point-of-care arboviral antigen-based detection and real-time data analytics for infection geotagging and
outbreak management. Upon successful completion of this Phase II project, we will have developed a first-of-
its-kind platform, which provides an all-in-one solution to arboviral detection and data reporting, that will be ready
for regulatory validation.
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