Evidence map›Paper›PMID 35156683›Full record

ArticleBioscience reports2022

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

Atanaska Dobreva, Erika Tatiana Camacho, Kamila Larripa, Anca Rǎdulescu, Deena R Schmidt, Imelda Trejo

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Optimal Control with RdCVFL for Degenerating Photoreceptors.Bulletin of mathematical biology · 2024
    Article
  2. 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

6 authors at 5 institutions in 1 country.

Atanaska DobrevaSchool of Mathematical and Natural Sciences, Arizona State University, Glendale, AZ, U.S.A.ORCID 0000-0002-4686-7430
Erika Tatiana CamachoSchool of Mathematical and Natural Sciences, Arizona State University, Glendale, AZ, U.S.A.
Kamila LarripaDepartment of Mathematics, Humboldt State University, Arcata, CA, U.S.A.
Anca RǎdulescuDepartment of Mathematics, State University of New York at New Paltz, New Paltz, NY, U.S.A.
Deena R SchmidtDepartment of Mathematics and Statistics, University of Nevada, Reno, NV, U.S.A.
Imelda TrejoTheoretical Biology and Biophysics Group (T-6), Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, U.S.A.
Arizona State University · USCal Poly Humboldt · USLos Alamos National Laboratory · USSUNY New Paltz · USUniversity of Nevada, Reno · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work analyzes a mathematical model for the metabolic dynamics of a cone photoreceptor, which is the first model to account for energy generation from fatty acids oxidation of shed photoreceptor outer segments (POS). Multiple parameter bifurcation analysis shows that joint variations in external glucose, the efficiency of glucose transporter 1 (GLUT1), lipid utilization for POS renewal, and oxidation of fatty acids affect the cone's metabolic vitality and its capability to adapt under glucose-deficient conditions. The analysis further reveals that when glucose is scarce, cone viability cannot be sustained by only fueling energy production in the mitochondria, but it also requires supporting anabolic processes to create lipids necessary for cell maintenance and repair. In silico experiments are used to investigate how the duration of glucose deprivation impacts the cell without and with a potential GLUT1 or oxidation of fatty acids intervention as well as a dual intervention. The results show that for prolonged duration of glucose deprivation, the cone metabolic system does not recover with higher oxidation of fatty acids and requires greater effectiveness of GLUT1 to recover. Finally, time-varying global sensitivity analysis (GSA) is applied to assess the sensitivity of the model outputs of interest to changes and uncertainty in the parameters at specific times. The results reveal a critical temporal window where there would be more flexibility for interventions to rescue a cone cell from the detrimental consequences of glucose shortage.

Indexed as

GlucoseRetinal Cone Photoreceptor CellsEnergy MetabolismFatty AcidsGlucose Transporter Type 1Models, TheoreticalFatty AcidsGlucoseGlucose Transporter Type 1Bifurcation AnalysisMetabolismOxidation of fatty acidsPhotoreceptorsRetinaSensitivity Analysis

Identifiers

PMID35156683
PMCPMC8905305
OpenAlexW4212952359

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.