Zebrafish Assay for Cholesterol and Lipid Lowering Drugs

Award Information
Agency: Department of Health and Human Services
Branch: N/A
Contract: 1R43DK064472-01
Agency Tracking Number: DK064472
Amount: $186,760.00
Phase: Phase I
Program: SBIR
Awards Year: 2003
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
ZYGOGEN, LLC
ZYGOGEN, LLC, KELL HALL 520, ATLANTA, GA, 30303
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 AMY RUBINSTEIN
 (404) 523-7309
 AMY@ZYGOGEN.COM
Business Contact
 NINA SAWCZUK
Phone: (404) 523-7309
Email: NINA@ZYGOGEN.COM
Research Institution
N/A
Abstract
DESCRIPTION (provided by applicant): High levels of low density lipoprotein (LDL), cholesterol and triglycerides have been associated with an increase in cardiovascular disease. Drugs such as cholesterol-lowering statins and triglyceride-lowering fibrates have led to a reduction in coronary heart disease. Although current drugs have enjoyed some success, a need exists for improved lipid management and reduced side effects. Zygogen is developing a novel in vivo approach to identifying potential lipid-lowering drugs using Zebrafish, called Z-Lipotrack. Lipid processing is highly conserved in the Zebrafish. Because Zebrafish larvae are essentially transparent, lipid processing can be readily observed in the whole organism, with the aid of fluorescent lipid reporters. The goal of the proposed research is to develop Z-Lipotrack technology for use in high throughput compound screening, with the ultimate aim of discovering better drugs for lowering lipid levels. The proposed work will validate Z-Lipotrack as a compound screening tool. This includes testing additional control compounds, characterizing compounds identified in a small but diverse library of marketed drugs, and quantifying the fluorescent read-out in an automated fashion. Due to the high fecundity of Zebrafish, high throughput drug screening using Zebrafish larvae is feasible and could dramatically increase the chances of finding important new drugs.

* information listed above is at the time of submission.

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