SBIR/STTR Research Award

Automated quantification of lipid droplets in fatty liver tissue sections

Award identifier ece360ae333bb12d22f6715d2ef2c37af836c4360dfe43e1e09316b72e384589Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,458,397

Program and phase

STTR · Phase II

Award year

2011

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
VALA SCIENCES, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
CZZJVX2BKJF3
Solicitation number
PA10-051
Topic code
NIDDK

Research abstract

DESCRIPTION (provided by applicant): NonAlcoholic Fatty liver is associated with obesity, and HCV infection, and is a leading cause of fibrosis, cirrhosis, and liver cancer. Lipid droplet formation (steatosis) is an underlying cause of the pathologies. However, there is considerable variation in the scoring of steatosis and fibrosis by pathologists. This proposal is for Phase II of the STTR project 1R41DK082087-01 Automated quantification of lipid droplets in fatty liver tissue sections . In Phase I, an image analysis algorithm (Steatosis Algorithm), was developed to predict the Steatosis Score of the pathologist associated with the project, via the analysis of digital photographs obtained from hematoxylin + eosin stained human biopsies. For phase II, a collaboration is proposed between Vala Sciences Inc and a team of eminent pathologists and liver specialists to further develop the Steatosis Algorithm, and to develop algorithms to quantify inflammation, and fibrosis. For this purpose we propose to scan extensive sets of slides with an automated digital slide scanner, to provide thousands of digital images for use in training the algorithms. Slide sets to be scanned include: 1) slides from the HALT-C clinical trial in which pegylated interferon was tested forpossible therapeutic effects against HCV in a longitudinal study, 2) slides from patients with both Alcoholic and NonAlcoholic fatty liver and Steatohepatitis previously collected and maintained by the pathologists and physicians associated with this project, and 3) mouse liver slides obtained in studies of liver metabolism. The algorithms will provide an objective assessment of steatosis, inflammation, and fibrosis, for liver samples obtained from both humans and animal models of fatty liver, and will beused in both the clinical and research areas. PUBLIC HEALTH RELEVANCE: Fatty liver disease is a condition that affects a high proportion of the US population, particularly people that are overweight or obese, or are infected with Hepatitis C virus. Fatty liver is characterized by the occurrence of fat droplets within the cells that make up the liver. Tissue samples (biopsies) are commonly taken from livers as part of the protocol for research studies on fatty liver disease, and the fat content, degree of inflammation, and fibrous nature of the samples are graded by pathologists, using microscopes and grading criteria, that is, at best, semi-quantitative. The proposed research will develop a technique for rapid and precise automatic quantification ofthe fat content of liver biopsies, which will be an aid to pathologists for diagnosing fatty liver, and to researchers investigating therapeutics to fatty liver in animal models of the disease.

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

37 SBIR/STTR records share this UEI (2006–2024). Reported award amounts total $27,661,877. 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

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