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Diagnosis of Graft Pathology by TruGraf
Sponsor: University Health Network, Toronto
Summary
The goal of this observational study is to to identify different causes of liver diseases or damage in liver transplant patients and develop a machine learning algorithm as a non-invasive tool leveraging gene expression and patient clinical information to classify transplant liver diseases We will collect blood samples of the participants who had undergone or will undergo the liver biopsy as part of standard of care, and use this blood in TruGarf. TruGraf is a non-invasive test that measures differentially expressed genes in the blood of transplant recipients to rule out liver damage. Researcher will collect the biopsy result from the medical record and this will be compared with the TruGarf results.
Official title: Development of a Machine Learning Tool for Non-invasive Diagnosis of Liver Graft Pathology Using TruGraf
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
471
Start Date
2024-07-20
Completion Date
2027-12-30
Last Updated
2024-08-16
Healthy Volunteers
No
Conditions
Interventions
TruGraf liver gene expression
Blood from the patients undergoing graft liver biopsy will be collected on the day of the liver biopsy, preferable prior to tissue collection or within 48 hours following the biopsy. Two specialized PaxGene tubes containing 2.5mL of blood each will be filled and will be sent to TGI laboratory in USA for processing, storage, and analysis using TGI's proprietary bioinformatics TruGraf will provide UHN with a Liver binary result: ACR or non-ACR. The results data will be batched and sent to UHN at agreed upon timepoints.
Locations (1)
Toronto General Hospital -UHN
Toronto, Ontario, Canada