Lung fibrosis modeling and compound testing platform using fibrotic lung ECM that recreates the fibrotic disease environment to improve predictiveness and accelerate anti-fibrotic drug development
Lung fibrosis modeling and compound testing platform using fibrotic lung ECM that recreates the fibrotic disease environment to improve predictiveness and accelerate anti-fibrotic drug development
批准号:
10515017
负责人:
John David O'Neill
金额:
$95.05万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-01 至 2024-02-28
关键词:
3-DimensionalAnimal ModelAnimalsBasic ScienceBiocompatible MaterialsBiological AssayBiologyBiomanufacturingBiomechanicsBiotechnologyCell Culture TechniquesCellsChronic lung diseaseCoenzyme ACollagenCollagen Type IData SetDecision MakingDependenceDevelopmentDiagnosisDiseaseDisease ProgressionDisease modelDocumentationDrug ModelingsDrug ScreeningEnvironmentEtiologyExperimental ModelsExtracellular MatrixFDA approvedFacility ControlsFibroblastsGelGene ExpressionGenesGoalsHumanHydrogelsIn VitroInternationalInterstitial Lung DiseasesInterventionInterviewInvestigationKnowledgeLegal patentLifeLungLung TransplantationLung diseasesManuscriptsMarketingMechanicsMethodsModelingOrgan DonorOutputPathogenesisPatient-Focused OutcomesPerformancePersonsPharmaceutical PreparationsPharmacologic SubstancePhasePhenotypePhysiologicalPirfenidonePolystyrenesPredictive ValueProcessProtein SecretionProtocols documentationPublicationsPublishingPulmonary FibrosisPulmonary alveolar structureQuality ControlReportingReproducibilityResearchRespiratory physiologyRiskSamplingScientistSmall Business Innovation Research GrantSpecificityStandardizationStructure of parenchyma of lungTechnologyTest ResultTestingTimeTissue ModelTissuesValidationWorkbasecommercializationcomparativecostdrug developmentdrug discoverydrug testingfibrotic lunghigh riskhuman tissueidiopathic pulmonary fibrosisimprovedin vitro Modelin vitro testingin vivomanufacturing processmetabolomicsmortalitymultiple omicsnintedanibnovelnovel therapeuticspredictive modelingproduct developmentquality assuranceresearch and developmentscale upstandard of carestemsuccesstechnological innovationtherapeutic developmenttranscriptome sequencingtranscriptomicsvalidation studiesverification and validation
中文摘要
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英文摘要
PROJECT ABSTRACT
Xylyx is developing a pulmonary fibrosis disease modeling and anti-fibrotic compound testing platform aimed at
improving the physiological relevance and predictive value of in-vitro models for idiopathic pulmonary fibrosis
(IPF) to power the investigation of IPF disease biology and accelerate development of drugs to treat IPF.
Devastating, intractable, and life-threatening, IPF is an interstitial lung disease characterized by obliteration of
pulmonary alveoli and progressive loss of respiratory function. Over 55,000 new cases of IPF are diagnosed
each year. Median survival is 3–4 years, and annual mortality in the US exceeds 40,000. The etiology and
pathogenesis of IPF remain unknown. Predictive animal and in-vitro models of IPF for basic science research
and drug development are severely lacking, leaving a significant unmet need and market opportunity for a
physiologically-relevant in-vitro platform that enables high-fidelity cell-based phenotypic studies of IPF. This
SBIR Fast Track will support development and validation studies for commercialization of an IPF disease
modeling and compound testing platform that recapitulates in vitro key features of the human IPF disease
environment and has been shown to support fibrotic phenotype of human lung fibroblasts to improve cell-based
assays in early-stage anti-fibrotic drug discovery. The technological innovation is the product’s human IPF fibrotic
lung specificity stemming from proprietary methods for isolating acellular human IPF lung extracellular matrix
(ECM) with the composition and biomechanics of human IPF lung tissue. Our ‘physiomimetic approach’ yields
standardized human fibrotic lung cell culture substrates for predictive in-vitro models of IPF that enable more
physiologic and thus more predictive studies, providing a major competitive advantage over existing products
like collagen-coated polystyrene plates. The goal is validation and commercialization of standard human IPF
lung ECM disease modeling and compound testing platform for predictive in-vitro models of IPF to greatly reduce
dependence on animal models and enable more relevant results for IPF drug developers. Specific aims are to:
(i) determine transcriptomic and metabolomic profiles of lung fibroblasts in human IPF and normal lung ECM
hydrogels, (ii) evaluate quality and consistency of human IPF and normal lung ECM hydrogels, (iii) perform
compound testing studies with IPF standard-of-care drugs. After successful completion of the Fast Track project,
Xylyx will commercialize the IPF compound testing platform to scientists in pharmaceutical companies in need
of predictive IPF disease models for drug discovery and screening, thus reducing the significant costs associated
with late-stage attrition due to poor efficacy, and facilitating the development of improved treatment options for
the more than 3 million sufferers of IPF worldwide. The product of this SBIR Fast Track will immediately enter
the rapidly growing cell culture market segment in biopharma and drug development, valued at USD $6.4B in
2014 and estimated to reach USD $29.2B by 2024, and will support drug development aimed at the USD $3.0B
IPF treatment market.
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Lung fibrosis modeling and compound testing platform using fibrotic lung ECM that recreates the fibrotic disease environment to improve predictiveness and accelerate anti-fibrotic drug development
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批准号:10660437
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项目类别:
-
资助金额:$7.0万
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财政年份:2021
-
负责人:John David O'Neill
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依托单位:
Lung fibrosis modeling and compound testing platform using fibrotic lung ECM that recreates the fibrotic disease environment to improve predictiveness and accelerate anti-fibrotic drug development
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批准号:10793211
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项目类别:
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资助金额:$10.93万
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财政年份:2021
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负责人:John David O'Neill
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依托单位:
Lung fibrosis modeling and compound testing platform using fibrotic lung ECM that recreates the fibrotic disease environment to improve predictiveness and accelerate anti-fibrotic drug development
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批准号:10609532
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项目类别:
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资助金额:$96.14万
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财政年份:2021
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负责人:John David O'Neill
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依托单位:
Lung fibrosis modeling and compound testing platform using fibrotic lung ECM that recreates the fibrotic disease environment to improve predictiveness and accelerate anti-fibrotic drug development
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批准号:10323494
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项目类别:
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资助金额:$29.79万
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财政年份:2021
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负责人:John David O'Neill
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依托单位:
Biomimetic lung sealant to rapidly heal pulmonary air leaks, decrease recovery time, and reduce associated costs to the healthcare system,
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批准号:10005701
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项目类别:
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资助金额:$22.41万
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财政年份:2020
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负责人:John David O'Neill
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依托单位:
海外基金