In:
PLOS ONE, Public Library of Science (PLoS), Vol. 17, No. 8 ( 2022-8-3), p. e0272079-
Abstract:
Atherosclerosis is one of the leading causes of death worldwide. Biomathematical modelling of the underlying disease and therapy processes might be a useful aid to develop and improve preventive and treatment concepts of atherosclerosis. We here propose a biomathematical model of murine atherosclerosis under different diet and treatment conditions including lipid modulating compound and antibiotics. The model is derived by translating known biological mechanisms into ordinary differential equations and by assuming appropriate response kinetics to the applied interventions. We explicitly describe the dynamics of relevant immune cells and lipid species in atherosclerotic lesions including the degree of blood vessel occlusion due to growing plaques. Unknown model parameters were determined by fitting the predictions of model simulations to time series data derived from mice experiments. Parameter fittings resulted in a good agreement of model and data for all 13 experimental scenarios considered. The model can be used to predict the outcome of alternative treatment schedules of combined antibiotic, immune modulating, and lipid lowering agents under high fat or normal diet. We conclude that we established a comprehensive biomathematical model of atherosclerosis in mice. We aim to validate the model on the basis of further experimental data.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0272079
DOI:
10.1371/journal.pone.0272079.g001
DOI:
10.1371/journal.pone.0272079.g002
DOI:
10.1371/journal.pone.0272079.g003
DOI:
10.1371/journal.pone.0272079.g004
DOI:
10.1371/journal.pone.0272079.g005
DOI:
10.1371/journal.pone.0272079.g006
DOI:
10.1371/journal.pone.0272079.g007
DOI:
10.1371/journal.pone.0272079.g008
DOI:
10.1371/journal.pone.0272079.g009
DOI:
10.1371/journal.pone.0272079.g010
DOI:
10.1371/journal.pone.0272079.g011
DOI:
10.1371/journal.pone.0272079.t001
DOI:
10.1371/journal.pone.0272079.t002
DOI:
10.1371/journal.pone.0272079.s001
DOI:
10.1371/journal.pone.0272079.s002
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2022
detail.hit.zdb_id:
2267670-3
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