Personalized Model Systems to Predict and Investigate CFTR Drug Response in CF
Personalized Model Systems to Predict and Investigate CFTR Drug Response in CF
批准号:
10671591
负责人:
John Joseph Brewington
金额:
$16.36万
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:
2019-08-01 至 2024-07-31
关键词:
AllelesAutomobile DrivingBiochemicalBiological AssayBiological ModelsBiologyCaringCategoriesCaucasiansCell membraneCell modelCellsCenter for Translational Science ActivitiesChildhoodChloridesClinicalClinical DataConduct Clinical TrialsCystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorDataDedicationsDefectDelta F508 mutationDevelopmentDiseaseDrug PrescriptionsDrug TargetingEpithelial CellsEpitheliumExclusionFDA approvedFluid BalanceGeneticGenetic DiseasesGenotypeGoalsHomozygoteHospitalsHumanImageIndividualIon ChannelIon TransportKnowledgeLiteratureMeasuresMedical centerMentorsMentorshipModelingMolecularMutationNasal EpitheliumNosePathway interactionsPatient CarePatientsPediatric HospitalsPersonsPharmaceutical PreparationsPhenotypePhysiciansPopulationPositioning AttributePre-Clinical ModelPreclinical TestingProcessProteinsPulmonologyResearchResearch DesignResearch PersonnelResolutionResourcesScientistSodium ChlorideSpirometrySubgroupSurfaceTechniquesTestingTissuesTrainingTranslatingTranslationsVX-770ValidationWorkbronchial epitheliumcareercareer developmentclinical careclinical efficacyclinical phenotypeclinical predictorscystic fibrosis patientsdesigndidactic educationdisease-causing mutationexperiencefunctional improvementgenetic selectionhands-on learningimprovedin vivoindividual responseinsightmutantnovelpatient orientedpatient responsepersonalized carepersonalized medicinepharmacologicpre-clinicalprecision medicinepredictive testrecruitresearch and developmentresponders and non-respondersresponsesecondary analysissecondary endpointsegregationskillssuccesstooltranscriptome sequencingtreatment choice
中文摘要
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英文摘要
PROJECT SUMMARY / ABSTRACT
Cystic Fibrosis (CF) is the most common fatal genetic disease in Caucasians. CF is caused by mutations in the
protein encoding the CF Transmembrane conductance Regulator (CFTR), an ion channel responsible for salt
and fluid homeostasis in epithelial tissues. Drugs targeting mutant CFTR, termed “modulators,” hold promise as
disease-modifying therapies, but are limited to genotype-specific CF subpopulations. Moreover, extensive and
poorly understood subject-to-subject variability in drug response within these populations exists. Both limitations
may be overcome through the use of personalized model systems of CFTR function and modulation.
The proposed research seeks to validate the use of patient-derived models to predict and understand modulator
response. This is a significant milestone towards the ultimate goal of using this approach to drive personalized,
precision medicine in CF and to advance biochemical understanding of CFTR modulation. This proposal tests
the overall hypothesis that nasal cell models can provide high-fidelity insights into modulator responses in vivo.
Pediatric subjects homozygous for F508del CFTR or with a rare CFTR mutation will be recruited from an ongoing
study providing robust phenotyping of their clinical response to CFTR modulators. Nasal cells will be cultured
and analyzed ex vivo, and compared to the clinical response in each subject. Aim 1 of this proposal tests whether
these model systems will predict subjects’ clinical response at the individual level. Aim 2 will then categorize
clinical response into responder/non-responder groups and use these nasal cell model systems to investigate
primary cellular mechanisms responsible for differential responses. Together, these studies will provide a vertical
step towards translation of patient-derived models to inform clinical care and optimize modulator therapies.
The PI for this proposal, Dr. Brewington, is an investigator in Pulmonary Medicine with a focus on personalized
medicine in CF. He has personally generated the nasal cell model systems and data underlying this proposal.
The mentorship team for this proposal includes complimentary expertise in translational CF research (Dr. J.P.
Clancy, primary mentor), CFTR biology (Dr. Anjaparavanda Naren, Co-mentor), and research design and
execution (Dr. Raouf Amin, Co-mentor). All three have a track record of mentoring success and are dedicated
to the proposed work and the PI’s research development.
The career development portion of this proposal is foundational to the PI’s transition to research independence,
capitalizing on the extensive resources available at Cincinnati Children’s Hospital Medical Center. A combination
of formal didactics, direct mentorship, and hands-on experiences will expand Dr. Brewington’s skills in the
execution of patient-centered translational research, including analysis of clinical data, model system validation,
and advanced biochemical techniques. This training and mentorship will be critical to Dr. Brewington realizing
his goal of leading a robust, impactful, and independent research career.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI:
10.3390/ijms22094448
发表时间:
2021-04-24
期刊:
International journal of molecular sciences
影响因子:
5.6
作者:
[Keegan DE, Brewington JJ]
通讯作者:
Brewington JJ
Personalized Model Systems to Predict and Investigate CFTR Drug Response in CF
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批准号:10459322
-
项目类别:
-
资助金额:$16.36万
-
财政年份:2019
-
负责人:John Joseph Brewington
-
依托单位:
Personalized Model Systems to Predict and Investigate CFTR Drug Response in CF
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批准号:9982405
-
项目类别:
-
资助金额:$16.36万
-
财政年份:2019
-
负责人:John Joseph Brewington
-
依托单位:
Personalized Model Systems to Predict and Investigate CFTR Drug Response in CF
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批准号:10223422
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项目类别:
-
资助金额:$16.36万
-
财政年份:2019
-
负责人:John Joseph Brewington
-
依托单位:
Personalized Cystic Fibrosis Therapy and Research Center
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批准号:10672705
-
项目类别:
-
资助金额:$23.36万
-
财政年份:2018
-
负责人:John Joseph Brewington
-
依托单位:
海外基金