| Literature DB >> 30373227 |
Brian X Wang1, Worrapong Kit-Anan2, Cesare M N Terracciano3.
Abstract
Cardiac disease causes 33% of deaths worldwide but our knowledge of disease progression is still very limited. In vitro models utilising and combining multiple, differentiated cell types have been used to recapitulate the range of myocardial microenvironments in an effort to delineate the mechanical, humoral, and electrical interactions that modulate the cardiac contractile function in health and the pathogenesis of human disease. However, due to limitations in isolating these cell types and changes in their structure and function in vitro, the field is now focused on the development and use of stem cell-derived cell types, most notably, human-induced pluripotent stem cell-derived CMs (hiPSC-CMs), in modelling the CM function in health and patient-specific diseases, allowing us to build on the findings from studies using animal and adult human CMs. It is becoming increasingly appreciated that communications between cardiomyocytes (CMs), the contractile cell of the heart, and the non-myocyte components of the heart not only regulate cardiac development and maintenance of health and adult CM functions, including the contractile state, but they also regulate remodelling in diseases, which may cause the chronic impairment of the contractile function of the myocardium, ultimately leading to heart failure. Within the myocardium, each CM is surrounded by an intricate network of cell types including endothelial cells, fibroblasts, vascular smooth muscle cells, sympathetic neurons, and resident macrophages, and the extracellular matrix (ECM), forming complex interactions, and models utilizing hiPSC-derived cell types offer a great opportunity to investigate these interactions further. In this review, we outline the historical and current state of disease modelling, focusing on the major milestones in the development of stem cell-derived cell types, and how this technology has contributed to our knowledge about the interactions between CMs and key non-myocyte components of the heart in health and disease, in particular, heart failure. Understanding where we stand in the field will be critical for stem cell-based applications, including the modelling of diseases that have complex multicellular dysfunctions.Entities:
Keywords: cardiomyocyte; disease modelling; drug screening; hereditary diseases; human induced pluripotent stem cells; microenvironment; non-myocyte; patient-specific; personalized medicine
Mesh:
Year: 2018 PMID: 30373227 PMCID: PMC6274721 DOI: 10.3390/ijms19113361
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
The summary of the benefits and limitations of currently available disease models.
| Model Type | Description | Benefits | Limitations | Ref. |
|---|---|---|---|---|
| Animal | Animals with defined genetic background or subject to acute intervention (e.g., coronary obstruction) to mimic discrete time points. | Small animals: delineate molecular pathways in early- or late-stage heart failure, aiding the identification of biomarkers and therapeutic targets. | Gene expression-silencing or drug-induced pathogenesis does not recapitulate the disease initiation in humans. | [ |
| Human-specific expression in Chinese hamster ovary (CHO) and human embryonic kidney (HEK) cells | Model protein force expression, e.g., tests the off-target effects to ion channels prolonging the QT interval. | Expression of human ion channels. | Single ion channel does not recapitulate diseases in humans. | [ |
| Adult human cardiomyocytes | Isolated from diseased or non-diseased patients during surgery. | Human genome so we can map the response in humans to cardiac disease. | Limited quantities (e.g., ethical limitations). | [ |
| Organoid | 3D in vitro culture systems derived from self-organizing stem cells and extracellular matrix (ECM) proteins secreted from the cells. | Higher complexity compared to the 2D models, with more extensive cell-ECM interactions and possible vessel formation. | Expensive and technically challenging setup, resulting in poor reproducibility. | [ |
| 3D cardiac tissue | 3D in vitro culture systems with natural and/or synthetic ECM structural support. | Ability to manipulate ECM components enables a greater control of the scaffold composition and more complex cell-ECM interactions. | Limited information on cost, reproducibility, and performance. | [ |
The summary of the available human induced pluripotent stem cell (hiPSC)-derived cells used in-disease modelling.
| Pathology | Cell Type Involved | Mutation | (Drug/Treatment) Test | Ref. |
|---|---|---|---|---|
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| Healthy | EC | N/A | Flow-induced disease and simvastatin | [ |
| Hutchison-Gilford Progeria Syndrome | EC | Patient-derived | N/A | [ |
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| Supravalvular aortic stenosis | SMC | Elastin (ELN) | Elastin recombinant protein | [ |
| Marfan syndrome | SMC | FBN1 | Gene editing and drugs | [ |
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| Healthy | B-cell lymphoid lineage | N/A | N/A | [ |
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| Healthy | CM and RBC | N/A | Toxicity of RBC | [ |
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| Hypoplastic left heart syndrome | CM | Patient-derived (GM12601) | Isoproterenol | [ |
| Arrhythmogenic right ventricular dysplasia | CM | Plakoglobin, plakophilin-2 | Metabolism induced onset | [ |
| Familial hypertrophic cardiomyopathy | CM | MYH7 Arg663His | Verapamil, Diltiazem, Mexiletine among 15 drugs | [ |
| LEOPARD syndrome | CM and all three germ layers | PTPN11 | N/A | [ |
| Friedreich’s ataxia | Neurons and CM | GAA triplet repeat expansion within the first intron of the frataxin gene | N/A | [ |
| Catecholaminergic polymorphic ventricular tachycardia type 1 | CM | Ryanodine Receptor 2 (RYR2) | Isoproterenol | [ |
| LQT1,2,3,5,8,14 | CM | Patient-derived | Common drugs | [ |
| Barth syndrome | CM | Tafazzin (TAZ) | Genetic rescue | [ |
| Ischemic heart damage | CM | Aldehyde dehydrogenase 2 (ALDH-2) deficiency | siRNA knockdown | [ |
| Brugada syndrome | CM | SCN5A-1795insD mutation | N/A | [ |
SMC = Vascular smooth muscle cell, CM = cardiomyocyte, EC = Endothelial, RBC = Red blood cell.
The summary of the differences between hiPSC-cardiomyocytes (CMs) and contractile CMs. Data extracted from References [58,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94].
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| Any, not defined | Cylindrical | Cylindrical and bifurcated | |
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| Small | Large | Very large | |
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| Random | Orderly and aligned | Orderly and aligned | |
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| Few | Abundant | Abundant | |
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| Absent | Scarce | Abundant | |
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| High | Low | Low | |
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| Mono | Mono, bi, multi | Mono, bi, multi | |
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| Very frequent | Absent | Absent | |
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| −60 mV | −70 mV | −80 mV | |
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| 44–187 V/s | 200 V/s | 200 V/s | |
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| 94–113 mV | 80–130 mV | 100 mV | |
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| 60–400 ms | 200 ms | 200–300 ms | |
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| 80–500 ms | 200–400 ms | 250–400 ms | |
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| 100–150 Pa for a single cell | Myocardium tensile force ≈ 56 kPa | Myocardium tensile force ≈ 56 kPa | |
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| 466 Pa | 22–55 kPa | 22–55 kPa | |
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| Cx40 | + | + | - |
| Cx43 | + | + | + | |
| Cx45 | + | - | - | |
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| KCNA5 | + | + | - |
| NCX1 | + | + | + | |
| SERCA2a | + | + | + | |
| RYR2 | + | + | + | |
| Cav 1.2 | + | + | + | |
| Kir 2.1 | + | + | + | |
| Kv 4.3 | + | + | + | |
| KChip 2 | + | + | + | |
| KCNH2 (HERG) | + | + | + | |
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| TNNT2 | + | + | + |
| ACTN2 | + | + | + | |
| MLC2A | + | + | + | |
| MLC2V | + | - | + | |
| MYL2 | + | + | + | |
| MYH6 | + | + | + | |
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| NKX2.5 | + | ± | ± |
* Action potential duration for hiPSC-CMs depends on seeding conditions and differentiation protocol.
The summary of the role of non-myocyte cell types in health and the disease.
| Cell. | Healthy | Disease | Notes |
|---|---|---|---|
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| ● ECM turnover, maintaining a balance between the synthesis and degradation of the matrix | ● Scar formation (fibrosis) | [ |
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| ● Periostin, laminin, vimentin, fibronectin, and collagen types I (90%), III, V, and VI | ● Increase in collagen I, III, IV, V, and VI | [ |
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| ● Structural support | ● Inflammation (hypertrophy, inotropy, apoptosis, mitosis) | [ |
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| ● Mechanical support of vasculature: contractile or synthetic (proliferative) mode | ● Loss of elasticity | [ |
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| ● Conduction fibre and pacemaker (AV, SA, Purkinje) | ● Block, slow down conduction | [ |
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| ● Few residents | ● Macrophage has a role in ECM turnover/cell death, scar formation, neutrophil recruitment, and vascularization support | [ |