SBIR/STTR Research Award

Long distance nerve regeneration via processed allografts in a caprine model

Award identifier 0476fd3c6a1d05ecaa4bf88364da0e070d871e9f36922389dba9e2bb776f4b22Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$102,737

Program and phase

STTR · Phase I

Award year

2007

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
Axogen Corporation
Proposal award date
Not reported
Contract end date
Not reported
UEI
LUWQJP6W4BA9
Solicitation number
Not reported
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): Every year in the US, several million people suffer serious peripheral nerve injury. Injuries to the peripheral nervous system (PNS) are a major source of disability, impairing the ability to move muscles or to feel normal sensations. To treat these problems, more than one million procedures were performed in the US in 2002, totaling more than $10 billion in medical costs. Peripheral nerve injuries are under treated primarily because repair options are limited and ineffective. The clinical gold standard for repairing PNS injuries that cannot be repaired by direct coaptation is the use of nerve autograft, however, numerous clinical complications as well as a limited amount of expendable nerve segments, have necessitated a search for an alternative approach. Promising clinical results with nerve allografts has prompted research into various methods of preparing allografts to enable them to be more viable clinical options. Nerve allografts have been studied in small animal models (e.g. rat) for grafts ranging in length from 1 to 4cm. A large animal model would allow larger gaps to be created and incorporate long regeneration distances that would more closely model the challenge of human nerve grafting for severe traumatic or iatrogenic injuries. The overall aim of this Phase I project is to determine the feasibility of testing nerve allografts in a novel goat animal model which allows for functional and histomorphometric assays of axon regeneration efficacy though a large nerve gap and long regeneration distance to the muscle target tissue. Our proposed functional assay for motor axon regeneration is not available in other previously developed model systems. Feasibility of processing long multi-fasciculated nerves will be evaluated by applying a proprietary multistep allograft preparation method (already developed for rat tissue) to goat nerves which more closely mimic the size and complex structure of human nerves. Successful transfer of the graft preparation method will be determined by immunological analysis and histological analysis verifying (i) structural preservation of the graft and (ii) cellular removal and complete degradation of CSPG nerve growth inhibitors post-processing. Regeneration success in the goat will be determined by (i) evidence of regeneration into a muscle target to the level of muscle contraction using a novel functional assessment paradigm involving a tactile stimulus-activated polysynaptic spinal reflex and by (ii) a histomorphometric analysis of healthy regenerated axons in the distal nerve segment of the recipient. Every year in the US, several million people suffer serious peripheral nerve injury. Injuries to the peripheral nervous system (PNS) are a major source of disability, impairing the ability to move muscles or to feel normal sensations. [The product that would result from a successful project would be an unmatched treatment option for these patients and would be the only commercially available long graft alternative to nerve autograft.]

Technology keywords

Not reported

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.