The Ted Rogers Centre for Heart Research is delighted to welcome Iris Cohn as the new Innovator in Genomic Translation - also recently promoted to Director of the Pharmacogenetics (PGx) Program at The Hospital for Sick Children. A trained pharmacist, Iris established...
With a mission to support novel approaches to managing and preventing heart failure, the Ted Rogers Centre for Heart Research uses its Innovation Fund to propel emerging research with great potential. The 2024-25 Innovation Fund Seed Grants are currently open and you can learn more here.
In our 2023-24 Innovation Seed Grant competition, the Centre funded four such projects that span our three partners: The Hospital for Sick Children, University Health Network and the University of Toronto.
Through these grants, research teams receive up to $100,000 a year – which is renewable for one year – if their projects show the greatest potential to transform cardiac care and have a clear path to actually serve patients in the clinic in not-distant future.
Introducing the winning projects in our 2023-2024 seed grant competition:
Estimating prognosis among advanced heart failure patients referred for advanced heart failure therapies
Principal Investigator: Carolina Alba | Collaborator: Christopher McIntosh
Objective: This study evaluates the accuracy of predictive models to guide selection of HF patients for advanced therapies and their clinical impact.
Heart failure (HF) is a growing issue in Canada, affecting over 700,000 people and often requiring advanced treatments like ventricular assist devices (VAD) or heart transplants (HTx). While lifesaving, these therapies are costly and risky, making it crucial to select the right patients and timing. Current decisions rely on clinical judgment, but a Canadian study revealed that HF specialists tend to overestimate patient mortality, potentially recommending advanced therapies too early and increasing risks. Preliminary research at Toronto General Hospital found that many patients were inaccurately classified by clinicians, suggesting the need for better tools. Predictive models showed much greater accuracy in forecasting outcomes. Machine learning (ML) models, which outperform traditional methods in predicting HF outcomes, could provide more precise assessments by incorporating extensive clinical data. This study by Dr. Alba and her team aims to develop and evaluate ML-based tools to improve patient selection for advanced HF therapies, potentially enhancing outcomes and care efficiency.
Macrophage support of cardiomyocyte mitochondrial homeostasis underlies enhanced function of human bioengineered cardiac microtissues
Principal Investigator: Slava Epelman | Collaborator: Milica Radisic
Objective: The study leverages a human heart-on-a-chip (Biowire), developed by Dr. Radisic that mimics key physiological properties of the human heart, with a focus on mitochondrial function. This aims to provide a better understanding of the remuscularization and poor electrical integration after transplantation for patients with ischemic HF.
Restoring heart function in damaged tissue using stem cell-derived cardiomyocytes is a key goal in treating ischemic heart failure, but there are still challenges like poor survival and integration of transplanted cells. Current approaches often overlook the role of supportive cells, such as macrophages, which are helpful for repair and regeneration in the heart. Dr. Epelman and his team used bioengineered human cardiac tissues to study how stem cell-derived macrophages improve heart cell function by reducing stress, clearing damaged mitochondria, and enhancing metabolism. They explore a novel signaling pathway involving mitochondrial DNA and interferon (IFN-I), which may help macrophages protect heart cells. By understanding and leveraging these interactions, the research aims to make stem cell therapies for heart failure more effective and reliable.
Development of Smart-Ring and Medly Interface for Continuous, Remote, Vasomodulation Monitoring
Principal Investigator: Daniel Franklin | Collaborators: Quyhn Pham, Ian Connel, Shumit Saha, Joseph Cafazzo
Objective: To clinically translate a novel ring-based wearable through the co-development of embedded firmware and interfacing software. Co-development will ensure compliance with medical device software standards and enable further integration with the Medly digital therapeutic platform, enabling the evaluation of this novel measurement modality for HF patients.
This research focuses on improving remote monitoring for HF patients, a condition affecting 40 million people annually and costing billions in healthcare. Current remote platforms, like the Medly app, which asks patients to log daily blood pressure and weight, have reduced hospital readmissions by over 50%. However, these systems rely heavily on patient-reported data, which can be inconsistent and infrequent. To address this, Dr. Franklin and his team propose integrating smart wearables, such as a novel smart ring developed by the Franklin Research Lab. The ring uses multiwavelength technology to measure local blood vessel activity, accurately and continuously. Combining this technology with platforms like Medly could provide more detailed cardiovascular data, enabling better monitoring, early intervention, and more effective management of HF in remote care settings.
Examining GLP-1 peptides as novel cardioprotective agents to limit heart failure (HF) in pediatric cardiovascular surgery
Principal Investigator: Osami Honjo | Collaborators: Mansoor Husain, Mark Friedberg
Objective: To identify mechanisms of cardiac injury in long cardiopulmonary bypass and aortic cross-clamp, and identify the mechanisms in which GLP-1 peptides enhance myocardial protection during this surgical setting.
Advances in cardiovascular surgery (CVS) are critical for improving outcomes in children with congenital heart disease (CHD). In Canada, over 3,700 babies are born with a CHD with more than half needing surgery to survive. The complexity of pediatric CVS can be classified using the Risk Adjusted Classification for Congenital Heart Surgery score (RACHS-1 to -6), where higher scores indicate greater risk. At SickKids, 30-40% of cases are >RACHS-3, with evidence correlating increasing risks of cardiac dysfunction and complications following these complex operations. Despite these risks, there is little research on myocardial protection strategies tailored to this high-risk setting. Current methods, namely cardioplegia solutions, lack standardization and often fail to adequately prevent heart damage. Innovative research from our team supported by the TRCHR in the past has demonstrated promise in using GLP-1 metabolites, such as GLP-1(28-36) and GLP-1 receptor agonists as metabolic modulators for myocardial protection in small animal models. However, using GLP-1 receptor agonists, like Exenatide, in pediatric patients has potential downsides particularly due to side effects of activating the GLP-1 receptor. This highlights the need to explore GLP-1 receptor independent therapies as a safer means to enhance myocardial protection in pediatric CVS, which represents current work that Dr. Honjo and his team are doing to test GLP-1(28-36) in a newly developed model of long heart surgery in pigs.
2024-25 Innovation Fund
Our Innovation Fund is open to bench research, proof-of-concept development and the clinical assessment of new innovations – meaning it can play a key role in propelling great ideas forward.
The Innovation Fund seed grants for 2024-25 are open, and the deadline to apply is January 16, 2025. To learn more about this year’s applications, visit our Innovation Fund page.