Literature DB >> 24257901

Optimal control in the treatment of retinitis pigmentosa.

E T Camacho1, L A Melara, M C Villalobos, S Wirkus.   

Abstract

Numerous therapies have been implemented in an effort to minimize the debilitating effects of the degenerative eye disease Retinitis Pigmentosa (RP), yet none have provided satisfactory long-term solution. To date there is no treatment that can halt the degeneration of photoreceptors. The recent discovery of the RdCVF protein has provided researchers with a potential therapy that could slow the secondary wave of cone death. In this work, we build on an existing mathematical model of photoreceptor interactions in the presence of RP and incorporate various treatment regiments via RdCVF. Our results show that an optimal control exists for the administration of RdCVF. In addition, our numerical solutions show the experimentally observed rescue effect that the RdCVF has on the cones.

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Year:  2013        PMID: 24257901     DOI: 10.1007/s11538-013-9919-1

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  4 in total

1.  Inverse Problem Reveals Conditions for Characteristic Retinal Degeneration Patterns in Retinitis Pigmentosa Under the Trophic Factor Hypothesis.

Authors:  Paul A Roberts
Journal:  Front Aging Neurosci       Date:  2022-05-02       Impact factor: 5.702

2.  Optimizing the Timing and Composition of Therapeutic Phage Cocktails: A Control-Theoretic Approach.

Authors:  Guanlin Li; Chung Yin Leung; Yorai Wardi; Laurent Debarbieux; Joshua S Weitz
Journal:  Bull Math Biol       Date:  2020-06-12       Impact factor: 1.758

3.  Insights into pathological mechanisms and interventions revealed by analyzing a mathematical model for cone metabolism.

Authors:  Atanaska Dobreva; Erika Tatiana Camacho; Kamila Larripa; Anca Rǎdulescu; Deena R Schmidt; Imelda Trejo
Journal:  Biosci Rep       Date:  2022-03-31       Impact factor: 3.840

4.  A mathematical model of GLUT1 modulation in rods and RPE and its differential impact in cell metabolism.

Authors:  Andrea Aparicio; Erika T Camacho; Nancy J Philp; Stephen A Wirkus
Journal:  Sci Rep       Date:  2022-06-23       Impact factor: 4.996

  4 in total

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