Crafting a Rigorous, Clinically Relevant Large Animal Model of Chronic Myocardial Ischemia: What Have We Learned in 20 Years?
Christopher R StoneDwight D HarrisMark BroadwinMeghamsh KanuparthySharif A SabeCynthia XuJun FengM Ruhul AbidFrank W SellkePublished in: Methods and protocols (2024)
The past several decades have borne witness to several breakthroughs and paradigm shifts within the field of cardiovascular medicine, but one component that has remained constant throughout this time is the need for accurate animal models for the refinement and elaboration of the hypotheses and therapies crucial to our capacity to combat human disease. Numerous sophisticated and high-throughput molecular strategies have emerged, including rational drug design and the multi-omics approaches that allow extensive characterization of the host response to disease states and their prospective resolutions, but these technologies all require grounding within a faithful representation of their clinical context. Over this period, our lab has exhaustively tested, progressively refined, and extensively contributed to cardiovascular discovery on the basis of one such faithful representation. It is the purpose of this paper to review our porcine model of chronic myocardial ischemia using ameroid constriction and the subsequent myriad of physiological and molecular-biological insights it has allowed our lab to attain and describe. We hope that, by depicting our methods and the insight they have yielded clearly and completely-drawing for this purpose on comprehensive videographic illustration-other research teams will be empowered to carry our work forward, drawing on our experience to refine their own investigations into the pathogenesis and eradication of cardiovascular disease.
Keyphrases
- high throughput
- cardiovascular disease
- left ventricular
- endothelial cells
- single cell
- small molecule
- type diabetes
- single molecule
- neuropathic pain
- high resolution
- drug induced
- heart failure
- helicobacter pylori infection
- emergency department
- cardiovascular risk factors
- neural network
- spinal cord injury
- adverse drug
- atrial fibrillation
- coronary artery disease
- helicobacter pylori