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Sukumaran V, Mutlu O, Murtaza M, Alhalbouni R, Dubansky B, Yalcin HC. Experimental assessment of cardiovascular physiology in the chick embryo. Dev Dyn 2023; 252:1247-1268. [PMID: 37002896 DOI: 10.1002/dvdy.589] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 12/13/2022] [Accepted: 03/10/2023] [Indexed: 10/04/2023] Open
Abstract
High resolution assessment of cardiac functional parameters is crucial in translational animal research. The chick embryo is a historically well-used in vivo model for cardiovascular research due to its many practical advantages, and the conserved form and function of the chick and human cardiogenesis programs. This review aims to provide an overview of several different technical approaches for chick embryo cardiac assessment. Doppler echocardiography, optical coherence tomography, micromagnetic resonance imaging, microparticle image velocimetry, real-time pressure monitoring, and associated issues with the techniques will be discussed. Alongside this discussion, we also highlight recent advances in cardiac function measurements in chick embryos.
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Affiliation(s)
| | - Onur Mutlu
- Biomedical Research Center, Qatar University, Doha, Qatar
| | | | | | - Benjamin Dubansky
- Department of Biological and Agricultural Engineering, Office of Research and Economic Development, Louisiana State University, Baton Rouge, Louisiana, USA
| | - Huseyin C Yalcin
- Biomedical Research Center, Qatar University, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
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Zhang D, Lindsey SE. Recasting Current Knowledge of Human Fetal Circulation: The Importance of Computational Models. J Cardiovasc Dev Dis 2023; 10:240. [PMID: 37367405 PMCID: PMC10299027 DOI: 10.3390/jcdd10060240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 05/16/2023] [Accepted: 05/23/2023] [Indexed: 06/28/2023] Open
Abstract
Computational hemodynamic simulations are becoming increasingly important for cardiovascular research and clinical practice, yet incorporating numerical simulations of human fetal circulation is relatively underutilized and underdeveloped. The fetus possesses unique vascular shunts to appropriately distribute oxygen and nutrients acquired from the placenta, adding complexity and adaptability to blood flow patterns within the fetal vascular network. Perturbations to fetal circulation compromise fetal growth and trigger the abnormal cardiovascular remodeling that underlies congenital heart defects. Computational modeling can be used to elucidate complex blood flow patterns in the fetal circulatory system for normal versus abnormal development. We present an overview of fetal cardiovascular physiology and its evolution from being investigated with invasive experiments and primitive imaging techniques to advanced imaging (4D MRI and ultrasound) and computational modeling. We introduce the theoretical backgrounds of both lumped-parameter networks and three-dimensional computational fluid dynamic simulations of the cardiovascular system. We subsequently summarize existing modeling studies of human fetal circulation along with their limitations and challenges. Finally, we highlight opportunities for improved fetal circulation models.
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Affiliation(s)
| | - Stephanie E. Lindsey
- Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093, USA;
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Brown AL, Gerosa FM, Wang J, Hsiai T, Marsden AL. Recent advances in quantifying the mechanobiology of cardiac development via computational modeling. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2023; 25:100428. [PMID: 36583220 PMCID: PMC9794182 DOI: 10.1016/j.cobme.2022.100428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Mechanical forces are essential for coordinating cardiac morphogenesis, but much remains to be discovered about the interactions between mechanical forces and the mechanotransduction pathways they activate. Due to the elaborate and fundamentally multi-physics and multi-scale nature of cardiac mechanobiology, a complete understanding requires multiple experimental and analytical techniques. We identify three fundamental tools used in the field to probe these interactions: high resolution imaging, genetic and molecular analysis, and computational modeling. In this review, we focus on computational modeling and present recent studies employing this tool to investigate the mechanobiological pathways involved with cardiac development. These works demonstrate that understanding the detailed spatial and temporal patterns of biomechanical forces is crucial to building a comprehensive understanding of mechanobiology during cardiac development, and that computational modeling is an effective and efficient tool for obtaining such detail. In this context, multidisciplinary studies combining all three tools present the most compelling results.
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Affiliation(s)
- Aaron L. Brown
- Stanford University, Department of Mechanical Engineering, Stanford, USA, CA, 94305
| | - Fannie M. Gerosa
- Stanford University, Department of Pediatrics, Stanford, USA, CA 94305
- Stanford University, Institute for Computational & Mathematical Engineering, Stanford, USA, CA 94305
| | - Jing Wang
- University of California Los Angeles, Department of Bioengineering, Los Angeles, CA 90095
| | - Tzung Hsiai
- University of California Los Angeles, Department of Bioengineering, Los Angeles, CA 90095
- University of California Los Angeles, Division of Cardiology, Los Angeles, CA 90095
| | - Alison L. Marsden
- Stanford University, Department of Mechanical Engineering, Stanford, USA, CA, 94305
- Stanford University, Department of Pediatrics, Stanford, USA, CA 94305
- Stanford University, Institute for Computational & Mathematical Engineering, Stanford, USA, CA 94305
- Stanford University, Department of Bioengineering, Stanford, USA, CA 94305
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Salman HE, Jurisch-Yaksi N, Yalcin HC. Computational Modeling of Motile Cilia-Driven Cerebrospinal Flow in the Brain Ventricles of Zebrafish Embryo. Bioengineering (Basel) 2022; 9:bioengineering9090421. [PMID: 36134967 PMCID: PMC9495466 DOI: 10.3390/bioengineering9090421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 07/04/2022] [Accepted: 07/06/2022] [Indexed: 11/16/2022] Open
Abstract
Motile cilia are hair-like microscopic structures which generate directional flow to provide fluid transport in various biological processes. Ciliary beating is one of the sources of cerebrospinal flow (CSF) in brain ventricles. In this study, we investigated how the tilt angle, quantity, and phase relationship of cilia affect CSF flow patterns in the brain ventricles of zebrafish embryos. For this purpose, two-dimensional computational fluid dynamics (CFD) simulations are performed to determine the flow fields generated by the motile cilia. The cilia are modeled as thin membranes with prescribed motions. The cilia motions were obtained from a two-day post-fertilization zebrafish embryo previously imaged via light sheet fluorescence microscopy. We observed that the cilium angle significantly alters the generated flow velocity and mass flow rates. As the cilium angle gets closer to the wall, higher flow velocities are observed. Phase difference between two adjacent beating cilia also affects the flow field as the cilia with no phase difference produce significantly lower mass flow rates. In conclusion, our simulations revealed that the most efficient method for cilia-driven fluid transport relies on the alignment of multiple cilia beating with a phase difference, which is also observed in vivo in the developing zebrafish brain.
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Affiliation(s)
- Huseyin Enes Salman
- Department of Mechanical Engineering, TOBB University of Economics and Technology, Ankara 06510, Turkey
| | - Nathalie Jurisch-Yaksi
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway
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