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Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- CFD Research Corporation
- Proposal award date
- 2016-08-15
- Contract end date
- 2017-12-31
- UEI
- V3KCP1HNFM33
- Solicitation number
- HL15-027
- Topic code
- NHLBI
Research abstract
Abstract
The objective of this study is to develop a novel predictive in vitro model for personalized responses to CFTR
directed therapeutics This proposal responds to RFA HL Human Cellular Models for Predicting
Individual Responses to Cystic Fibrosis Transmembrane Conductance Regulator Directed Therapeutics
Cystic fibrosis CF is a life shortening genetic disease caused by loss of function mutations of the Cystic
Fibrosis Transmembrane conductance Regulator CFTR gene that encodes an anion channel critical for ion
and fluid transport Excellent clinical responses for some individuals e g G D heterozygotes have been
seen with ivacaftor a new CFTR directed modulator drug but for the majority of patients benefit has been
much less substantial To improve the lives of all CF patients it is crucial that in vivo conditions including the
variety of specific mutations and complexity of multi drug therapy as well as pharmacokinetic interactions are
faithfully reproduced in an in vitro environment that can be used to rapidly and accurately predict drug efficacy
We propose a highly novel in vitro personalized predictive tool on a microfluidics platform utilizing a patient s
own cells to target the therapeutic strategy to an individual s complex genetic background and assess full
physiological responses to CFTR directed drugs This model will be developed on our commercially available
SynVivo family of cell based assays and will mimic the complex airway structure of the CF lung including
scale morphology and cellular interactions between the blood the epithelium and the endothelium We will
couple this with a novel integrative assessment of CFTR function and airway physiology including multiple
aspects of mucus clearance via micro optical coherence tomography in an in vitro environment enabling
biologically realistic studies
Phase I will culminate with a clear demonstration of the microfluidic platform for physiological responses
observed in CF patients with the G D gating mutation During Phase II we will expand the platform by the
evaluation of CFTR targeted therapeutics with multi agent therapy and detailed clinical validation A multi
disciplinary industry academic partnership with expertise in all areas essential to the successful
accomplishment of project goals has been assembled including skilled investigators studying microfluidics cell
based assays CF lung physiology drug discovery and development therapeutic screening and clinical
studies The end product will be commercialized to pharmaceutical firms drug research labs and
universities non profit centers engaged in precision therapeutics drug discovery and drug delivery The
primary endpoint is to develop an assay for use as a clinical tool to a priori determine efficacy on a
personalized basis for CF patients The overall goal of the proposed effort is to develop and validate a novel in vitro personalized
predictive tool on a microfluidic platform utilizing a patient s own cells to target the therapeutic
strategy to an individual s complex genetic background and assess full physiological responses
to CFTR directed drugs The proposed development will be based on our award winning and
commercially available SynVivo family of cell based assays The SynVivo derived from
synthetic in vivo model will mimic the physiological structure of the airway including scale
morphology cellular interactions between the blood endothelium and the epithelium and
airway dynamics in an in vitro environment enabling biologically realistic studies
Technology keywords
Not reported
Other awards by this recipient
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Awards with the same topic code
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Research funding history
947 SBIR/STTR records share this UEI (1987–2026). Reported award amounts total $350,893,199. Reported amounts are not federal obligations.
Phases: Phase I, Phase II, Phase II – Direct to Phase II
Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Health and Human Services, National Science Foundation, Department of Commerce, Department of Energy
Agency intelligence
Department of Health and Human Services
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