| Literature DB >> 31868875 |
Fotios G Pitoulis1, Samuel A Watson1, Filippo Perbellini1,2, Cesare M Terracciano1.
Abstract
Although past decades have witnessed significant reductions in mortality of heart failure together with advances in our understanding of its cellular, molecular, and whole-heart features, a lot of basic cardiac research still fails to translate into clinical practice. In this review we examine myocardial slices, a novel model in the translational arena. Myocardial slices are living ultra-thin sections of heart tissue. Slices maintain the myocardium's native function (contractility, electrophysiology) and structure (multicellularity, extracellular matrix) and can be prepared from animal and human tissue. The discussion begins with the history and current advances in the model, the different interlaboratory methods of preparation and their potential impact on results. We then contextualize slices' advantages and limitations by comparing it with other cardiac models. Recently, sophisticated methods have enabled slices to be cultured chronically in vitro while preserving the functional and structural phenotype. This is more timely now than ever where chronic physiologically relevant in vitro platforms for assessment of therapeutic strategies are urgently needed. We interrogate the technological developments that have permitted this, their limitations, and future directions. Finally, we look into the general obstacles faced by the translational field, and how implementation of research systems utilizing slices could help in resolving these.Entities:
Keywords: zzm321990 In vitro heart models; Culture; Mechanical load; Myocardial slices; Translational research
Year: 2020 PMID: 31868875 PMCID: PMC7243278 DOI: 10.1093/cvr/cvz341
Source DB: PubMed Journal: Cardiovasc Res ISSN: 0008-6363 Impact factor: 10.787
Comparison of cardiac models
| Features | Isolated myocytes | Papillary muscles | Whole-hearts | Engineered heart tissue | Myocardial slices |
|---|---|---|---|---|---|
| Proximity to | + | ++ | ++++ | ++ | +++ |
| Throughput | ++++ | + | − | ++ | +++ |
| Causality degrees | ++++ | ++ | ++ | ++ | ++ |
| Cost | +++ | ++ | − | + | +++ |
| Capacity for long term experiments (culture) | + | ++ | − | ++++ | +++ |
| Personalized assays | − | − | − | +++ | − |
+ and − signs suggest that feature is advantageous and disadvantageous in that model relative to the other models. Note: there is no winner; choice of model depends on experimental question.