SBIR/STTR Research Award

A phenotypic screen for osteoarthritic pain therapeutics using all-optical electrophysiology.

Award identifier 72b9ce4caaf3ac193de83b5e479458bf91313e621ac7e1f4494253c6bb7a300dAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,589,328

Program and phase

SBIR · Phase II

Award year

2020

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
QUIVER BIOSCIENCE INC.
Proposal award date
2020-09-01
Contract end date
2022-08-31
UEI
L9HHRYCBMBZ1
Solicitation number
PA18-574
Topic code
NIAMS

Research abstract

Project Summary: A phenotypic screen for osteoarthritic pain therapeutics using all- optical electrophysiology Chronic pain affects over 100 million adults in the United States, many of whom cannot find relief with current medications. Of these patients, nearly 1/3 of them suffer from osteoarthritis. Current treatments for chronic pain include opioids and non-steroidal inflammatory agents. However, efficacy of these drugs in chronic treatment is restricted by the development of tolerance and dose-limiting toxicities. Opioids in particular are highly addictive, and dependency has caused a large societal burden. Despite the clear, unmet medical need and significant research activity, few new classes of non-opioid drugs targeting chronic pain have appeared in the past decade. Quell Therapeutics uses the Optopatch platform for making all-optical electrophysiology measurements in neurons at a throughput sufficient for phenotypic screening. Using engineered optogenetic proteins, blue and red light can be used to stimulate and record neuronal activity, respectively. Custom microscopes enable electrophysiology recordings from 100’s of individual neurons in parallel with high sensitivity and temporal resolution, a capability currently not available with any other platform screening technology. Here, we combine the Optopatch platform with an in vitro model of chronic pain, where dorsal root ganglion (DRG) sensory neurons are bathed in a mixture of inflammatory mediators found in the joints of osteoarthritis patients. The neurons treated with the inflammatory mixture become hyperexcitable, mimicking the anticipated cellular pain response. We calculate the functional phenotype of arthritis pain, which captures the difference in action potential shape and firing rate in response to diverse stimuli. We will screen for small molecule compounds that reverse the pain phenotype while minimizing perturbation of neuronal behavior orthogonal to the pain phenotype, the in vitro “side effects.” We will counter-screen against neurons from the cerebral cortex and cardiomyocytes from the heart to prioritize compounds that act selectively in inflamed sensory neurons. The highest ranking compounds will be chemically optimized and their pharmacokinetic, drug metabolism, and in vivo efficacy will be characterized. Our goal is to advance therapeutic discovery for pain, which may ultimately help relieve the US opioid crisis.Project Narrative: A phenotypic screen for osteoarthritic pain therapeutics using all- optical electrophysiology Despite the clear, unmet medical need, the last decade of active research has yielded few novel, non-opioid drugs targeting arthritic and other forms of chronic pain. Quell Therapeutics has an integrated platform using engineered optogenetic proteins and custom microscopes to simultaneously stimulate and record electrical activity from 100’s of neurons in parallel with high sensitivity and temporal resolution. Here, we make a “disease in a dish” model of chronic osteoarthritis pain by bathing sensory neurons in a cocktail of inflammatory signaling molecules found in arthritic joints, and screen for drugs that counteract the induced inflammation.

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

9 SBIR/STTR records share this UEI (2019–2025). Reported award amounts total $16,069,679. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

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.