Investigative Ophthalmology & Visual Science Cover Image for Volume 63, Issue 7
June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Complexities in the relationship between aqueous and vitreous VEGF revealed by mathematical models fit to meta-analytic data
Author Affiliations & Notes
  • Alexander Artchariyavivit Svoronos
    Yale School of Medicine, New Haven, Connecticut, United States
    NYU Langone Health, New York, New York, United States
  • Aliya Cecilia Roginiel
    Ophthalmology, Northwell Health, New Hyde Park, New York, United States
  • Lucian Del Priore
    Yale School of Medicine, New Haven, Connecticut, United States
  • Footnotes
    Commercial Relationships   Alexander Svoronos None; Aliya Roginiel None; Lucian Del Priore None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 1310 – F0125. doi:
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      Alexander Artchariyavivit Svoronos, Aliya Cecilia Roginiel, Lucian Del Priore; Complexities in the relationship between aqueous and vitreous VEGF revealed by mathematical models fit to meta-analytic data. Invest. Ophthalmol. Vis. Sci. 2022;63(7):1310 – F0125.

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

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Abstract

Purpose : Many studies measure aqueous VEGF concentration as a proxy for vitreous VEGF concentration. Usually, underlying these studies is the assumption that aqueous VEGF is merely the result of diffusion from the vitreous compartment. Here, we examine the validity of this assumption by implementing it into a mathematical model and assessing how well it fits real data compared to models which implement additional potential mechanisms of intraocular VEGF production and transport.

Methods : This study consists of a meta-analysis of prior studies followed by the generation and fitting of mathematical models to pooled study data. More specifically, a search of studies that simultaneously report both aqueous VEGF and vitreous VEGF concentrations was conducted, and the data was compiled to determine the relationship between the two concentrations and how their corresponding ratio varies with increasing concentration. Several mathematical models, each representing a different potential mechanism of VEGF production or transport, were then generated and fit to the data, and the resulting coefficients of determination (R2 values) were compared.

Results : As Fig 1 shows, the base model, which only considers the production and subsequent diffusion of vitreous VEGF to the aqueous compartment, where it undergoes clearance, fit the meta-analysis data poorly (average R2 = 0.162). Models which implemented additional mechanisms on top of the base model performed better (average R2 values ranging from 0.463 to 0.707), with a model exhibiting supplementary VEGF production in the aqueous compartment or by the ciliary body performing best (average R2 = 0.707).

Conclusions : The base model is insufficient to explain the relationship between aqueous and vitreous VEGF concentrations. Other mechanisms of VEGF production and/or transport must be present, with a strong candidate being the addition of VEGF production in the aqueous compartment or by the ciliary body.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

 

Fig 1. Fitting of mathematical models to pooled study data. (A) Diagram of the eye and the mechanisms of VEGF production, transfer, and clearance that were modeled. (B-E) Fitting of the base mode (model 0) (B, C) and the best performing model (model 3) (D, E) to the pooled study data of aqueous VEGF vs. vitreous VEGF concentration (B, D) and vitreous:aqueous VEGF ratio vs. vitreous VEGF concentration (C, E). (F) Average R2 value for each model.

Fig 1. Fitting of mathematical models to pooled study data. (A) Diagram of the eye and the mechanisms of VEGF production, transfer, and clearance that were modeled. (B-E) Fitting of the base mode (model 0) (B, C) and the best performing model (model 3) (D, E) to the pooled study data of aqueous VEGF vs. vitreous VEGF concentration (B, D) and vitreous:aqueous VEGF ratio vs. vitreous VEGF concentration (C, E). (F) Average R2 value for each model.

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