A physical approach to model occlusions in the retinal microvasculature

Blood occlusions in the retinal microvasculature contribute to the pathology of many disease states within the eye. These events can cause haemorrhaging and retinal detachment, leading to a loss of vision in the affected patient. Here, we present a physical approach to characterising the collective cell dynamics leading to plug formation, through the use of a bespoke microfluidic device, and through the derivation of a probabilistic model. Our microfluidic device is based on a filtration design that can tune the particle volume fraction of a flowing suspension within a conduit, with sizes similar to arterioles. This allows us to control and reproduce an occlusive event. The formation of the occlusion can be examined through the extracted motion of particles within the channel, which enables the assessment of individual and collective particle dynamics in the time leading to the clogging event. In particular, we observe that at the onset of the occlusion, particles form an arch bridging the channel walls. The data presented here inform the development of our mathematical model, which captures the essential factors promoting occlusions, and notably highlights the central role of adhesion in these processes. Both the physical and probabilistic models rely on significant approximations, and future investigation will seek to assess these approximations, including the deformability and complex flow profiles of the blood constituents. However, we anticipate that the general mechanisms of occlusion may be elucidated from these simple models. As microvascular flows in the eye can now be measured in vivo and non-invasively with single cell resolution, our model will also be compared to the pathophysiological characteristics of the human microcirculation.

[1]  L Mahadevan,et al.  Sickle cell vasoocclusion and rescue in a microfluidic device , 2007, Proceedings of the National Academy of Sciences.

[2]  T. Wong,et al.  Retinal Microvasculature as a Model to Study the Manifestations of Hypertension , 2012, Hypertension.

[3]  L. Rejmanek [Old and new concepts]. , 1954, Prakticky lekar.

[4]  L. Mahadevan,et al.  Hydrodynamics of hemostasis in sickle-cell disease. , 2013, Physical review letters.

[5]  Thi Lien Huong Nguyen,et al.  General probabilistic approach to the filtration process. , 2007, Physical review letters.

[6]  R. Kamm,et al.  Microfluidic models of vascular functions. , 2012, Annual review of biomedical engineering.

[7]  David J. Wilson,et al.  Detailed Vascular Anatomy of the Human Retina by Projection-Resolved Optical Coherence Tomography Angiography , 2017, Scientific Reports.

[8]  P. S. Ramalho Microcirculation and hemorheology. , 1983, Acta medica portuguesa.

[9]  Srinivas R Sadda,et al.  Retinal imaging in the twenty-first century: state of the art and future directions. , 2014, Ophthalmology.

[10]  Toco Y P Chui,et al.  Human retinal microvascular imaging using adaptive optics scanning light ophthalmoscopy , 2016, International Journal of Retina and Vitreous.

[11]  Sangeeta N Bhatia,et al.  A Biophysical Indicator of Vaso-occlusive Risk in Sickle Cell Disease , 2022 .

[12]  Pak,et al.  Jamming of Granular Flow in a Two-Dimensional Hopper. , 2001, Physical review letters.

[13]  David T. Eddington,et al.  Statistical Dynamics of Flowing Red Blood Cells by Morphological Image Processing , 2009, PLoS Comput. Biol..

[14]  Yunus Alapan,et al.  Heterogeneous Red Blood Cell Adhesion and Deformability in Sickle Cell Disease , 2014, Scientific Reports.

[15]  R. Klein,et al.  Retinal microvascular abnormalities and their relationship with hypertension, cardiovascular disease, and mortality. , 2001, Survey of ophthalmology.

[16]  M. Goldberg,et al.  Ocular manifestations of sickle hemoglobinopathies. , 1977, Survey of ophthalmology.

[17]  Howard A Stone,et al.  Mechanism for clogging of microchannels. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  Sergey S Shevkoplyas,et al.  Direct measurement of the impact of impaired erythrocyte deformability on microvascular network perfusion in a microfluidic device. , 2006, Lab on a chip.

[19]  Yohsuke Imai,et al.  Hemodynamics in the Microcirculation and in Microfluidics , 2014, Annals of Biomedical Engineering.

[20]  L Mahadevan,et al.  Pressure-driven occlusive flow of a confined red blood cell. , 2016, Soft matter.

[21]  高橋 龍尚 Microcirculation in fractal branching networks , 2014 .

[22]  A. Gabrielli,et al.  Irreversible blocking in single-file concurrent and countercurrent particulate flows , 2015 .

[23]  S. Sivaprasad,et al.  Sickle cell disease and the eye: old and new concepts. , 2010, Survey of ophthalmology.

[24]  M. Platt,et al.  Sickle cell biomechanics. , 2010, Annual review of biomedical engineering.

[25]  G M Collins,et al.  Blood flow in the microcirculation. , 1966, Pacific medicine and surgery.