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Placental perfusion and mathematical modelling

Placental perfusion and mathematical modelling
Placental perfusion and mathematical modelling
The isolated perfused placental cotyledon technique has led to numerous advances in placental biology. Combining placental perfusion with mathematical modelling provides an additional level of insight into placental function. Mathematical modelling of perfusion data provides a quantitative framework to test the understanding of the underlying biology and to explore how different processes work together within the placenta as part of an integrated system. The perfusion technique provides a high degree of control over the experimental conditions as well as regular measurements of functional parameters such as pressure, solute concentrations and pH over time. This level of control is ideal for modelling as it allows placental function to be studied across a wide range of different conditions which permits robust testing of mathematical models. By placing quantitative values on different processes (e.g. transport, metabolism, blood flow), their relative contribution to the system can be estimated and those most likely to become rate-limiting identified. Using a combined placental perfusion and modelling approach, placental metabolism was shown to be a more important determinant of amino acid and fatty acid transfer. In contrast, metabolism was a less important determinant of placental cortisol transfer than initially thought. Identifying the rate-limiting factors in the system allows future work to be focused on the factors that are most likely to underlie placental dysfunction. A combined experimental and modelling approach using placental perfusions promotes an integrated view of placental physiology that can more effectively identify the processes leading to placental pathologies.
Computational modelling, Placental transfer
0143-4004
43-48
Lewis, Rohan
caaeb97d-ea69-4f7b-8adb-5fa25e2d3502
Cleal, Jane
18cfd2c1-bd86-4a13-b38f-c321af56da66
Sengers, Bram
d6b771b1-4ede-48c5-9644-fa86503941aa
Lewis, Rohan
caaeb97d-ea69-4f7b-8adb-5fa25e2d3502
Cleal, Jane
18cfd2c1-bd86-4a13-b38f-c321af56da66
Sengers, Bram
d6b771b1-4ede-48c5-9644-fa86503941aa

Lewis, Rohan, Cleal, Jane and Sengers, Bram (2020) Placental perfusion and mathematical modelling. Placenta, 93, 43-48. (doi:10.1016/j.placenta.2020.02.015).

Record type: Review

Abstract

The isolated perfused placental cotyledon technique has led to numerous advances in placental biology. Combining placental perfusion with mathematical modelling provides an additional level of insight into placental function. Mathematical modelling of perfusion data provides a quantitative framework to test the understanding of the underlying biology and to explore how different processes work together within the placenta as part of an integrated system. The perfusion technique provides a high degree of control over the experimental conditions as well as regular measurements of functional parameters such as pressure, solute concentrations and pH over time. This level of control is ideal for modelling as it allows placental function to be studied across a wide range of different conditions which permits robust testing of mathematical models. By placing quantitative values on different processes (e.g. transport, metabolism, blood flow), their relative contribution to the system can be estimated and those most likely to become rate-limiting identified. Using a combined placental perfusion and modelling approach, placental metabolism was shown to be a more important determinant of amino acid and fatty acid transfer. In contrast, metabolism was a less important determinant of placental cortisol transfer than initially thought. Identifying the rate-limiting factors in the system allows future work to be focused on the factors that are most likely to underlie placental dysfunction. A combined experimental and modelling approach using placental perfusions promotes an integrated view of placental physiology that can more effectively identify the processes leading to placental pathologies.

Text
Placental_Perfusion_and_computational_modelling_REVISED_BS - Accepted Manuscript
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More information

Accepted/In Press date: 20 February 2020
e-pub ahead of print date: 22 February 2020
Keywords: Computational modelling, Placental transfer

Identifiers

Local EPrints ID: 438405
URI: http://eprints.soton.ac.uk/id/eprint/438405
ISSN: 0143-4004
PURE UUID: c84def89-250c-4fe0-b078-a6448a4f34e7
ORCID for Rohan Lewis: ORCID iD orcid.org/0000-0003-4044-9104
ORCID for Jane Cleal: ORCID iD orcid.org/0000-0001-7978-4327
ORCID for Bram Sengers: ORCID iD orcid.org/0000-0001-5859-6984

Catalogue record

Date deposited: 09 Mar 2020 17:32
Last modified: 26 Nov 2021 06:14

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