Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Aug 28;9(9):421.
doi: 10.3390/bioengineering9090421.

Computational Modeling of Motile Cilia-Driven Cerebrospinal Flow in the Brain Ventricles of Zebrafish Embryo

Affiliations

Computational Modeling of Motile Cilia-Driven Cerebrospinal Flow in the Brain Ventricles of Zebrafish Embryo

Huseyin Enes Salman et al. Bioengineering (Basel). .

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.

Keywords: ANSYS; brain ventricles; cerebrospinal flow; computational fluid dynamics; embryonic development; motile cilia; zebrafish.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
(a) The schematic of a brain ventricle for a 2 dpf zebrafish embryo. The blue arrow shows the flow direction. DV: Di-/mesencephalic ventricle. The green highlight indicates the location of motile cilia. (b) The averaged cyclic motion of one motile cilium. The color of the lines from light to dark reflects the progression of time in the cyclic motion. The red line shows the spatial mean of the cyclic motion and has an angle of 30 degrees with the Y-axis. The total time length of one cyclic motion was 0.033 s.
Figure 2
Figure 2
(a) Definition of cilium tilt angle. The cilia are connected to the ground and the connection point is stationary during the ciliary beating. (b) The dimensions of the flow domain are used as 25 µm × 50 µm. The red line is the ground of the flow domain, which is modeled as a wall with no-slip condition. A non-zero mass flow rate is observed on the yellow line depending on the ciliary motion. (c) The geometric configuration of two cilia with no phase difference (Case 4, in phase). (d) The geometric configuration of two cilia with phase difference (Case 5, out of phase). For the out of phase configuration, the cilium at the right side completes its cycle, while the cilium at the left is at half of the cyclic motion.
Figure 3
Figure 3
Velocity contour plots of Case 1 for a single cilium with a 30° cilium tilt angle. The flow fields are provided at the end of each ciliary cycle.
Figure 4
Figure 4
Velocity contour plots of Case 2 for a single cilium with a 50° cilium tilt angle. The flow fields are provided at the end of each ciliary cycle.
Figure 5
Figure 5
Velocity contour plots of Case 3 for a single cilium with a 60° cilium tilt angle. The flow fields are provided at the end of each ciliary cycle.
Figure 6
Figure 6
Velocity contour plots of Case 4 for two cilia with a 60° cilium tilt angle. The cilia beat synchronously (in phase) without any phase difference in time. The flow fields are provided at the end of each ciliary cycle.
Figure 7
Figure 7
Velocity contour plots of Case 5 for two cilia with a 60° cilium tilt angle. The cilia beat with a phase difference (out of phase). One of the cilia completes the cyclic motion when the other one is at half of the cyclic movement. The flow fields are provided at the end of each ciliary cycle.
Figure 8
Figure 8
Mass flow rates at the right-side line of the flow domain for various tilt angles and cilia formations. The average mass flow rates are shown in the top figure, which uses ten different colors to represent ten consecutive cyclic ciliary beatings. In the bottom figure, the average and maximum mass flow rates during ten consecutive ciliary beatings are presented.

References

    1. Guo H., Zhu H., Veerapaneni S. Simulating Cilia-Driven Mixing and Transport in Complex Geometries. Phys. Rev. Fluids. 2020;5:053103. doi: 10.1103/PhysRevFluids.5.053103. - DOI
    1. Ishikawa T. Axoneme Structure from Motile Cilia. Cold Spring Harb. Perspect. Biol. 2017;9:a028076. doi: 10.1101/cshperspect.a028076. - DOI - PMC - PubMed
    1. Satir P., Heuser T., Sale W.S. A Structural Basis for How Motile Cilia Beat. Bioscience. 2014;64:1073–1083. doi: 10.1093/biosci/biu180. - DOI - PMC - PubMed
    1. Geyer V.F., Howard J., Sartori P. Ciliary Beating Patterns Map onto a Low-Dimensional Behavioural Space. Nat. Phys. 2022;18:332–337. doi: 10.1038/s41567-021-01446-2. - DOI
    1. Gilpin W., Bull M.S., Prakash M. The Multiscale Physics of Cilia and Flagella. Nat. Rev. Phys. 2020;2:74–88. doi: 10.1038/s42254-019-0129-0. - DOI