Generation of Zika virus-specific recombinant antibodies
Generation of Zika virus-specific recombinant antibodies
批准号:
9226804
负责人:
MICHAEL D GUNN
金额:
$23.85万
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:
2016-08-12 至 2018-07-31
关键词:
Advanced DevelopmentAffinityAntibodiesAntibody FormationAntigensAspergillus fumigatusB-LymphocytesBacteriaBacteriophagesBindingBiological AssayBloodBrazilCellsCharacteristicsChildClinicalCulicidaeDengueDengue VirusDetectionDevelopmentDiagnosisDiagnosticDiagnostic testsDiseaseDisease OutbreaksEmerging Communicable DiseasesEngineeringEnzyme-Linked Immunosorbent AssayEpidemiologic MonitoringFlavivirusFundingGenerationsHandHarvestHealthcareHumanHybridomasImmuneIndividualInfectionLaboratoriesLeadLengthLibrariesMicrocephalyMothersMusPathogen detectionPatientsPhage DisplayProceduresProcessProteinsPublic HealthRNAReagentRecombinant AntibodyRecombinantsResearch PersonnelSalmonella paratyphiSalmonella typhiSamplingSensitivity and SpecificitySerumStagingSymptomsSystemTechniquesTechnologyTestingTimeValidationViral AntigensViral ProteinsVirusVirus DiseasesWest Nile virusYellow FeverZika Virusbasecost effectivecross reactivitydiagnostic assayexperienceglobal healthimprovedindividual patientmurine antibodynovelpathogenprototyperesearch clinical testingscreening
中文摘要
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英文摘要
Zika Virus (ZIVR) is a very rapidly emerging infectious disease that has been associated with microcephaly in
the children of infected mothers in an ongoing outbreak in Brazil. ZIVR is similar to other flavaviruses, such as
Dengue, Yellow Fever, and West Nile, which are transmitted to humans by mosquitos. Controlling ZIVR from a
public health perspective and appropriately managing individual patients will require that the diagnosis of ZIVR
infection can be made rapidly and accurately. Because the symptoms of ZIVR infection are similar to those of
other infections, the diagnosis cannot be made on clinical grounds alone and a diagnostic assay is required.
Unfortunately, no routine and accurate assay for the diagnosis of ZIVR infection is currently available. Existing
assays are either limited to specialized laboratories or give false positive results in patients that have been
infected with other flaviviruses. We propose to significantly advance the development of a ZIVR diagnostic
assay by generating antibodies that specifically recognize ZIVR, but not other flavaviruses, and using these to
construct a prototype ZIVR antigen ELISA assay. Virus-specific antibodies are the key reagents required for
the most widely used types of diagnostic assays, which detect the presence of viral proteins in the blood. Such
assays have the advantage of yielding rapid results and being applicable to almost any health care setting.
However, to be accurate, such assays must use antibodies that are specific for a single virus. Here, we will
use single-chain antibody phage display technology to generate antibodies specific to the NS1 protein
produced by ZIVR. We have chosen NS1 because it has proven to be an excellent diagnostic target for other
viral infections such as Dengue. The specific procedures that will be used include immunizing mice against
ZIVR NS1, harvesting the antibody-producing B cells from these mice, and using them to make a library of
single-chain antibodies that are expressed on the tips of a bacteriophage (viruses that infect bacteria). This
phage library will then be screened for antibody clones that bind to ZIVR, but not to related viruses using
standard phage display procedures. Once antibody phage clones with the appropriate binding characteristics
are identified, they will be converted into full-length antibodies suitable for use in a diagnostic assay. At all
stages of the process, candidate antibodies will be tested to validate their sensitivity and specificity for ZIVR
NS1. The successful completion of this project will result in the availability of validated high affinity highly
specific anti-ZIVR NS1 Abs that can be used to construct sensitive and specific ZIVR diagnostic assays. We
will also develop a ZIVR NS1 ELISA suitable for clinical testing in the course of these studies. This will
markedly improve our ability to accurately diagnose ZIVR infection, thus significantly improving our capacity to
track, control, and appropriately treat this disease.
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