June 2021
Volume 62, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2021
Paracellular and intracellular transport in aqueous humor production: theoretical modeling and simulation
Author Affiliations & Notes
  • Riccardo Sacco
    Mathematics, Politecnico di Milano, Milano, Lombardia, Italy
  • Greta Chiaravalli
    Physics, Politecnico di Milano, Milano, Italy
  • Giovanna Guidoboni
    Electrical Engineering and Computer Science & Department of Mathematics, University of Missouri System, Columbia, Missouri, United States
  • Brent A Siesky
    Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Alice Verticchio Vercellin
    Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Alon Harris
    Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Footnotes
    Commercial Relationships   Riccardo Sacco, None; Greta Chiaravalli, None; Giovanna Guidoboni, Foresite LLC (C), Gspace LLC (I); Brent Siesky, None; Alice Verticchio Vercellin, None; Alon Harris, Adom (C), Adom (S), Adom (I), Luseed (C), Luseed (I), Oxymap (I), Phileas Pharma (S), Phileas Pharma (I), Qlaris (C), Qlaris (S), Qlaris (I), QuLent (I)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2021, Vol.62, 556. doi:
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      Riccardo Sacco, Greta Chiaravalli, Giovanna Guidoboni, Brent A Siesky, Alice Verticchio Vercellin, Alon Harris; Paracellular and intracellular transport in aqueous humor production: theoretical modeling and simulation. Invest. Ophthalmol. Vis. Sci. 2021;62(8):556.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Elevated intraocular pressure (IOP) is an established risk factor for glaucoma. Steady-state IOP stems from a balance between aqueous humor (AH) production (AHp) and drainage. AHp results from the interaction among hydrostatic, osmotic and oncotic pressure differences determining a net fluid motion across ciliary epithelium (CE) bilayer from the stroma (S) to the aqueous side (AQ). The role of transcellular and paracellular (P) transport in AHp is difficult to disentangle experimentally, thus, we propose a mathematical model to investigate the contribution of each mechanism to AHp

Methods : AHp is described by a compartment model solving iteratively the coupled interaction between ion electrodiffusion and AH fluid motion until convergence. The model includes S, a cell cytoplasm (C) representing the CE bilayer, P and AQ sides. A tight junction separates S from P to prevent large size proteins from flowing into the AQ. Ion transport is modeled through active and passive membrane transporters and carbonic anhydrase (CA)-mediated intracellular CO2 hydrolysis. Cell electroneutrality is ensured by a fixed intracellular negative charge. Simulations are performed under a transepithelial potential difference of 1mV (AQ negative) and hydrostatic pressures of 20 and 15 mmHg in S and AQ

Results : Fig. 1 shows a scheme of AHp including membrane protein transporters driving primary active, secondary and passive ion transport. Transporters are not evenly distributed according to membrane diverse functional roles. Fig. 2 shows the scheme on which arrows represent the AH velocity vector across membranes. Model seems to indicate a much higher P velocity than C velocity. Results also indicate a flow of water from C into P and water recirculation from AQ into C. Model predicts a total AH volumetric flow rate (VFR) of 2.74 μL/min, in accordance with physiological data

Conclusions : Simulations suggest that P transport significantly contributes to total AH VFR. They also indicate that osmotic pressure gradients determine a passive water flow from C into P and a water back flow from AQ into the cell. Results support the use of the proposed model as a mathematical virtual laboratory, noninvasively complementing the animal model, to test the efficacy of IOP lowering medications to decrease AHp

This is a 2021 ARVO Annual Meeting abstract.

 

Schematic representation of CE

Schematic representation of CE

 

Predicted velocities and VFRs. Qtot is the total VFR secreted by the CE

Predicted velocities and VFRs. Qtot is the total VFR secreted by the CE

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