Evidence map›Paper›PMID 38345678›Full record

ArticleBulletin of mathematical biology2024

Optimal Control with RdCVFL for Degenerating Photoreceptors.

Kathryn Wifvat, Erika T Camacho, Matthias Kawski, Thierry Léveillard, Stephen Wirkus

Open access · hybridAbstract read
In one paragraph

Article in Bulletin of mathematical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Kathryn WifvatSchool of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, 85287, USA.
Erika T CamachoSchool of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, 85287, USA.
Matthias KawskiSchool of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, 85287, USA.
Thierry LéveillardINSERM, U968, 75012, Paris, France.
Stephen WirkusDepartment of Mathematics, The University of Texas at San Antonio, San Antonio, TX, 78249, USA. stephen.wirkus@utsa.edu.ORCID 0000-0001-9141-3756
Arizona State University · USCentre National de la Recherche Scientifique · FRThe University of Texas at San Antonio · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both the rod and cone photoreceptors, along with the retinal pigment epithelium have been experimentally and mathematically shown to work interdependently to maintain vision. Further, the theoredoxin-like rod-derived cone viability factor (RdCVF) and its long form (RdCVFL) have proven to increase photoreceptor survival in experimental results. Aerobic glycolysis is the primary source of energy production for photoreceptors and RdCVF accelerates the intake of glucose into the cones. RdCVFL helps mitigate the negative effects of reactive oxidative species and has shown promise in slowing the death of cones in mouse studies. However, this potential treatment and its effects have never been studied in mathematical models. In this work, we examine an optimal control with the treatment of RdCVFL. We mathematically illustrate the potential this treatment might have for treating degenerative retinal diseases such as retinitis pigmentosa, as well as compare this to the results of an updated control model with RdCVF.

Indexed as

Models, BiologicalRetinitis PigmentosaAnimalsMathematical ConceptsMiceRetinaRetinal Cone Photoreceptor CellsOptimal controlRdCVFLRetinal degenerationRetinitis pigmentosa

Identifiers

PMID38345678
PMCPMC10861398
OpenAlexW4391749982

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.