Biofabrication in Congenital Cardiac Surgery: A Plea from the Operating Theatre, Promise from Science.
Laszlo KiralySanjairaj VijayavenkataramanPublished in: Micromachines (2021)
Despite significant advances in numerous fields of biofabrication, clinical application of biomaterials combined with bioactive molecules and/or cells largely remains a promise in an individualized patient settings. Three-dimensional (3D) printing and bioprinting evolved as promising techniques used for tissue-engineering, so that several kinds of tissue can now be printed in layers or as defined structures for replacement and/or reconstruction in regenerative medicine and surgery. Besides technological, practical, ethical and legal challenges to solve, there is also a gap between the research labs and the patients' bedside. Congenital and pediatric cardiac surgery mostly deal with reconstructive patient-scenarios when defects are closed, various segments of the heart are connected, valves are implanted. Currently available biomaterials lack the potential of growth and conduits, valves derange over time surrendering patients to reoperations. Availability of viable, growing biomaterials could cancel reoperations that could entail significant public health benefit and improved quality-of-life. Congenital cardiac surgery is uniquely suited for closing the gap in translational research, rapid application of new techniques, and collaboration between interdisciplinary teams. This article provides a succinct review of the state-of-the art clinical practice and biofabrication strategies used in congenital and pediatric cardiac surgery, and highlights the need and avenues for translational research and collaboration.
Keyphrases
- cardiac surgery
- tissue engineering
- public health
- acute kidney injury
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- heart failure
- prognostic factors
- minimally invasive
- peritoneal dialysis
- high resolution
- big data
- climate change
- aortic valve
- risk assessment
- artificial intelligence
- mass spectrometry
- left ventricular
- deep learning
- quantum dots
- cell death