SBIR/STTR Research Award

TeamChip for High-throughput, Predictive Human Metabolism and Toxicology

Award identifier 6fbd1f6dd4193e4e7b3038c401a676b47062361ae84a9400926963508fe1cef2Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$150,000

Program and phase

STTR · Phase I

Award year

2010

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Solidus Biosciences, Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
PHS2010-2
Topic code
NIEHS

Research abstract

DESCRIPTION (provided by applicant): Solidus Biosciences, Inc. in partnership with Rensselaer Polytechnic Institute is proposing to address a critical need in chemical safety technology through its proprietary Transfected Enzyme and Metabolism Chip (or TeamChip) for high-throughput analysis of systematic drug candidate and chemical metabolism and toxicology. The TeamChip is being developed to mimic the first-pass metabolism of the human liver and to predict enzyme-specific hepatotoxicity. The effects of metabolism on other cell types will also be demonstrated. Thus, the reactivity of target compounds with individual human metabolic enzymes or combinations of enzymes in the human liver or other organ types can be assessed and quantified at speeds commensurate with predictive human toxicity assessment of early stage drug candidates and environmental chemicals. The specific aims of this Phase I STTR project are to: 1. Develop efficient methods for transfecting genes into THLE-2 human liver epithelial cell lines and Beas-2B human lung epithelial cell lines encapsulated in 3D alginate matrices as small as 30 nL. 2. Construct recombinant adenoviruses that carry genes for metabolic enzymes from a human liver cDNA library (e.g., CYP450 isoforms including CYP1A2 and CYP3A4) and demonstrate gene transfection on monolayers of THLE-2 and Beas-2B cells using fluorogenic substrates in a 96-well plate. 3. Demonstrate 3D cellular microarrays containing metabolic enzyme-expressing THLE-2 and Beas-2B cells and identify metabolic genes whose differential expression affects the cellular response to chemicals as proof of concept. In vitro technologies that can be used to quickly assess large numbers of compounds for toxicity remain limited. A critical component of safety evaluation is metabolism and toxicology of chemicals (e.g., drug candidates and environmental chemical toxicants), which reflects the susceptibility of chemicals to be metabolized by human metabolic enzymes and the toxicity of parent compounds and their metabolites. Current approaches to chemical safety assessment are costly, time consuming, and use large amounts of compound and large numbers of animals. Thus, there is great potential and opportunity to apply the TeamChip as a safety assessment tool that can be used to evaluate whether and how specific metabolic enzymes contribute to the toxicity of drug candidates and chemical toxicants. This capability may also be used to predict differences among individuals in drug and chemical metabolism and toxicity. 1 PUBLIC HEALTH RELEVANCE: The drug discovery process is an investment-intensive, high-risk endeavor that results in low yields of effective and safe drugs; a problem that is confounded by the significant lack of information that exists in predicting the metabolic fate of drug candidates, in general, and in predicting the reactivity of drug candidates in the human body. The proposed Phase I STTR project for the development of Solidus Bioscience's TeamChip technology has significant relevance to public health by providing pharmaceutical researchers with the information needed to predict the in vivo metabolism of drug candidates, and thus help to decide which compounds are brought forward for lead optimization and the ultimate development of better and safer drugs. Furthermore, this research is relevant to the prioritization of industrial and environmental chemicals in terms of their safety and use.

Technology keywords

Not reported

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Agency intelligence

Department of Health and Human Services

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