SBIR/STTR Research Award

An Aging Heart Model for Drug Discovery

Award identifier d203b3350363218db3b1cc70d493ee013253c5c02964f94e1842f53b655f995fAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$493,927

Program and phase

SBIR · Phase I

Award year

2016

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
InvivoSciences, Inc.
Proposal award date
2016-08-15
Contract end date
2019-04-30
UEI
G5JDXMW3NSW3
Solicitation number
PA16-287
Topic code
NIA

Research abstract

Project Summary Abstract Cardiovascular drugs are primarily prescribed to older peoplertyears of agesince the prevalence of chronic heart failure and fibrillation increases with ageThe incidence of other diseasesincluding cancer and neurological disordersincreases with agetooAny medications hold potential risks to cause adverse eventsThereforethe risks of medications in older people also increase with ageWhile cardiac safety of drugs is one of the primary concerns among drug developers and regulatory agenciespotential new drugs are tested using animal models of normal ageLimited progress has been made in developing a tool to predict potential cardiac safety issues in aging heartrepresenting a significant unmet need in drug discovery industryThe United States will havemillion aging populationrtyears of ageinThe development of a computational model that can predict potential cardiac safety reactions is a plausible step towards preparing the drug discovery industry for a rapidly approaching era of longevityThis Phase I proposal will validate and improve a computational model that incorporate potential age related changes in regulators of excitation contraction couplingECCof cardiomyocytesCMsand contribution of fibroblastsFBsthat are known to increase their population in aging heartsThe specific Aims areto develop and refine a computational model representing coupled FBs and CMs to simulate electrophysiology and calcium handling of aging human heart tissueto establish human engineered heart tissues by incorporating aging cardiac FBs and applying environmental stress that known to induce cardiac agingThese Aims are proposed to optimize a computational modelWisdom HeartWHthat mimics age associated changes in cardiac ECC of myocardium with increasing number of FBsThe quality of WH model will be evaluated and improved against experimental data obtained from myocardium modelsThe established model will be shared with the consortium organized by HESIhesiglobal orgwith FDAindustryand academia that is trying to improve cardiac safety issuesThe model will be incorporated to our services for conducting contract research projects of cardiac safety assessments and drug discovery for heart failureWe have active contracts with FDA research scientists at the National Center for Toxicological Research

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

15 SBIR/STTR records share this UEI (2004–2022). Reported award amounts total $12,363,639. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.