Predictive modelling of thrombus formation in diabetic retinal microaneurysms

Microaneurysms (MAs) are one of the earliest clinically visible signs of diabetic retinopathy (DR). Vision can be reduced at any stage of DR by MAs, which may enlarge, rupture and leak fluid into the neural retina. Recent advances in ophthalmic imaging techniques enable reconstruction of the geometr...

Full description

Saved in:
Bibliographic Details
Published inRoyal Society open science Vol. 7; no. 8; p. 201102
Main Authors Li, He, Sampani, Konstantina, Zheng, Xiaoning, Papageorgiou, Dimitrios P., Yazdani, Alireza, Bernabeu, Miguel O., Karniadakis, George E., Sun, Jennifer K.
Format Journal Article
LanguageEnglish
Published England The Royal Society 01.08.2020
Subjects
Online AccessGet full text
ISSN2054-5703
2054-5703
DOI10.1098/rsos.201102

Cover

More Information
Summary:Microaneurysms (MAs) are one of the earliest clinically visible signs of diabetic retinopathy (DR). Vision can be reduced at any stage of DR by MAs, which may enlarge, rupture and leak fluid into the neural retina. Recent advances in ophthalmic imaging techniques enable reconstruction of the geometries of MAs and quantification of the corresponding haemodynamic metrics, such as shear rate and wall shear stress, but there is lack of computational models that can predict thrombus formation in individual MAs. In this study, we couple a particle model to a continuum model to simulate the platelet aggregation in MAs with different shapes. Our simulation results show that under a physiologically relevant blood flow rate, thrombosis is more pronounced in saccular-shaped MAs than fusiform-shaped MAs, in agreement with recent clinical findings. Our model predictions of the size and shape of the thrombi in MAs are consistent with experimental observations, suggesting that our model is capable of predicting the formation of thrombus for newly detected MAs. This is the first quantitative study of thrombosis in MAs through simulating platelet aggregation, and our results suggest that computational models can be used to predict initiation and development of intraluminal thrombus in MAs as well as provide insights into their role in the pathophysiology of DR.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.5095339.
These authors contributed equally to this work.
ISSN:2054-5703
2054-5703
DOI:10.1098/rsos.201102