A Preliminary Computational Investigation Into the Flow of PEG in Rat Myocardial Tissue for Regenerative Therapy.

computational fluid dynamics injectate therapy myocardial infarction particle image velocimetry polyethylene glycol hydrogel retention

Journal

Frontiers in cardiovascular medicine
ISSN: 2297-055X
Titre abrégé: Front Cardiovasc Med
Pays: Switzerland
ID NLM: 101653388

Informations de publication

Date de publication:
2019
Historique:
received: 12 05 2019
accepted: 16 07 2019
entrez: 27 8 2019
pubmed: 27 8 2019
medline: 27 8 2019
Statut: epublish

Résumé

Myocardial infarction (MI), a type of cardiovascular disease, affects a significant proportion of people around the world. Traditionally, non-communicable chronic diseases were largely associated with aging populations in higher income countries. It is now evident that low- to middle-income countries are also affected and in these settings, younger individuals are at high risk. Currently, interventions for MI prolong the time to heart failure. Regenerative medicine and stem cell therapy have the potential to mitigate the effects of MI and to significantly improve the quality of life for patients. The main drawback with these therapies is that many of the injected cells are lost due to the vigorous motion of the heart. Great effort has been directed toward the development of scaffolds which can be injected alongside stem cells, in an attempt to improve retention and cell engraftment. In some cases, the scaffold alone has been seen to improve heart function. This study focuses on a synthetic polyethylene glycol (PEG) based hydrogel which is injected into the heart to improve left ventricular function following MI. Many studies in literature characterize PEG as a Newtonian fluid within a specified shear rate range, on the macroscale. The aim of the study is to characterize the flow of a 20 kDa PEG on the microscale, where the behavior is likely to deviate from macroscale flow patterns. Micro particle image velocimetry (μPIV) is used to observe flow behavior in microchannels, representing the gaps in myocardial tissue. The fluid exhibits non-Newtonian, shear-thinning behavior at this scale. Idealized two-dimensional computational fluid dynamics (CFD) models of PEG flow in microchannels are then developed and validated using the μPIV study. The validated computational model is applied to a realistic, microscopy-derived myocardial tissue model. From the realistic tissue reconstruction, it is evident that the myocardial flow region plays an important role in the distribution of PEG, and therefore, in the retention of material.

Identifiants

pubmed: 31448288
doi: 10.3389/fcvm.2019.00104
pmc: PMC6692440
doi:

Types de publication

Journal Article

Langues

eng

Pagination

104

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Auteurs

Malebogo Ngoepe (M)

Department of Mechanical Engineering, University of Cape Town, Rondebosch, South Africa.
Wallenberg Research Centre, Stellenbosch Institute of Advanced Study, Stellenbosch University, Stellenbosch, South Africa.

Andreas Passos (A)

Department of Mechanical Engineering, University College London, London, United Kingdom.

Stavroula Balabani (S)

Department of Mechanical Engineering, University College London, London, United Kingdom.

Jesse King (J)

Department of Mechanical Engineering, University of Cape Town, Rondebosch, South Africa.

Anastasia Lynn (A)

Department of Mechanical Engineering, University of Cape Town, Rondebosch, South Africa.

Jasanth Moodley (J)

Department of Mechanical Engineering, University of Cape Town, Rondebosch, South Africa.

Liam Swanson (L)

Department of Mechanical Engineering, University of Cape Town, Rondebosch, South Africa.

Deon Bezuidenhout (D)

Cardiovascular Research Unit, Department of Surgery, University of Cape Town, Observatory, South Africa.

Neil H Davies (NH)

Cardiovascular Research Unit, Department of Surgery, University of Cape Town, Observatory, South Africa.

Thomas Franz (T)

Division of Biomedical Engineering, Department of Human Biology, University of Cape Town, Observatory, South Africa.
Bioengineering Science Research Group, Engineering Sciences, Faculty of Engineering and the Environment, University of Southampton, Southampton, United Kingdom.

Classifications MeSH