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Vibratome Sectioning Mouse Retina to Prepare Photoreceptor Cultures

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Optimal Control with RdCVFL for Degenerating Photoreceptors.

Kathryn Wifvat¹, Erika T Camacho^1,2,3,4,5, Matthias Kawski¹

¹School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, 85287, USA.

Bulletin of Mathematical Biology

|February 12, 2024

Summary

Rod-derived cone viability factor (RdCVF) and its long form (RdCVFL) show promise for photoreceptor survival. Mathematical models illustrate RdCVFL

Keywords:

Optimal control RdCVFL Retinal degeneration Retinitis pigmentosa

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Area of Science:

Ophthalmology
Computational Biology
Biomedical Engineering

Background:

Photoreceptor cells (rods and cones) and retinal pigment epithelium are interdependent for vision.
Rod-derived cone viability factor (RdCVF) and its long form (RdCVFL) enhance photoreceptor survival.
RdCVF and RdCVFL play roles in glucose metabolism and mitigating oxidative stress in photoreceptors.

Purpose of the Study:

To develop and analyze mathematical models for the treatment of degenerative retinal diseases using RdCVFL.
To investigate the potential of RdCVFL as a therapeutic agent for conditions like retinitis pigmentosa.
To compare the mathematical outcomes of RdCVFL treatment with an updated model using RdCVF.

Main Methods:

Development of an optimal control mathematical model incorporating RdCVFL treatment.
Mathematical analysis of photoreceptor survival under RdCVFL intervention.
Comparison of simulation results between RdCVFL and RdCVF models.

Main Results:

Mathematical illustration of RdCVFL's potential to slow cone cell death.
Quantification of the impact of RdCVFL on photoreceptor survival dynamics.
Comparative analysis highlighting the efficacy of RdCVFL versus RdCVF in the models.

Conclusions:

Mathematical modeling provides a framework to evaluate RdCVFL as a potential treatment for retinal degeneration.
RdCVFL demonstrates significant promise in preserving photoreceptor viability, particularly in conditions like retinitis pigmentosa.
Further research integrating mathematical and experimental approaches can advance RdCVFL-based therapies.