Genetic Avatars: Penn Team Uses Gene Editing to Personalize Clinical Care for Family with Cardiomyopathy
New stem-cell-based test aims to decrease uncertainty of gene variants with unclear health significance
Article ID: 705128
Released: 7-Dec-2018 1:05 PM EST
Source Newsroom: Perelman School of Medicine at the University of Pennsylvania
Newswise — PHILDELPHIA – A little over a year ago, a 65-year-old woman with severe hypertrophic cardiomyopathy—a condition in which the heart’s muscle becomes abnormally thick, potentially causing dangerous irregular heartbeats—had her genes sequenced before her first visit to the Penn Center for Inherited Cardiac Disease. In the sequence, the patient’s care team identified a variant in a gene called TNNT2, which is associated with this type of heart disease. This type of disorder runs in families. However, analysis of the patient’s genetic screen showed conflicting interpretations of how the TNNT2 gene variant might be affecting her health.
A team led by Kiran Musunuru, MD, PhD, an associate professor of Cardiovascular Medicine and Genetics, and Anjali Tiku Owens, MD, an assistant professor of Cardiovascular Medicine, needed to find out whether the variant could explain her heart disease and whether the patient’s two children and six grandchildren should also undergo genetic screening. To do so, the team used a stem-cell-based assay they were developing to provide highly personalized results for the patient and her family. The Penn team’s findings are described this week in Circulation.
“More and more, through sequencing done for medical reasons or done by direct-to-consumer companies, people learn they have variants of disease genes with uncertain significance to their health,” said Owens. “With our assay, we now have a way to start determining the potential impact of these variants on the health of patients and their family members.”
In the 10 weeks between the patient’s first and second visits to the clinic in 2017, the Penn team used the new gene-editing technique developed in Musunuru’s lab to rapidly generate induced pluripotent stem cells containing the patient’s specific TNNT2 gene variant. These tailored stem cells—personalized avatars, as it were—showed a normal response to a chemical that induces faster beating in heart cells, suggesting the variant was not disease-causing. Guided by this finding, the team recommended that the patient’s family not undergo genetic screening, but still be monitored in the future for possible thickening of the heart wall.
“We believe this is the first time that stem cells have been used to impact patient and family care for cardiovascular disease,” said Musunuru.
As part of the development of the test the team created a library of TNNT2 gene variants and isolated 14 unique types. Most of these were classified as pathogenic, or disease-causing, according to the new assay. The platform allows for rapid insertion of specific gene variants into stem cells using a combination of CRISPR and other gene-editing tools. The genetic avatars containing the patient’s unique TNNT2 variant was then induced to mature into heart muscle cells to test their responses to the adrenaline-like chemical. Results showed that the TNNT2 variant from Owens’ patient was benign.
This represents the first test of the new assay in a patient in real time.
Using this same approach, the team will be able to determine which variants are neutral and which ones are potentially harmful in other patients. A significant advantage of the platform over previous techniques is that it can be used to study many different patient variants at the same time, potentially as many as all 4,000 possible variants of the TNNT2 gene in a single experiment.
“This could help any person in the world found to have a variant in TNNT2 make better choices about their care,” says Musunuru.
This work was supported by the National Institutes of Health (R01-HL118744, R01-GM104464) and the Winkelman Family Fund in Cardiovascular Innovation.
Other Penn co-authors are Wenjian Lv, Lyon Qiao, Nataliya Petrenko, Wenjun Li, and Chris McDermott-Roe.
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