Evidence map›Paper›PMID 33465385›Full record

ArticleMathematical biosciences2021

A simple model of immune and muscle cell crosstalk during muscle regeneration.

Hristo V Kojouharov, Benito M Chen-Charpentier, Francisco J Solis, Claudia Biguetti, Marco Brotto

Open access · hybridAbstract read
In one paragraph

Article in Mathematical biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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 2 institutions in 2 countries.

Hristo V KojouharovDepartment of Mathematics, The University of Texas at Arlington, Arlington, TX, 76019-0408, USA.
Benito M Chen-CharpentierDepartment of Mathematics, The University of Texas at Arlington, Arlington, TX, 76019-0408, USA.
Francisco J SolisDepartment of Applied Mathematics, CIMAT, Callejón Jalisco s/n, Valenciana, 36023 Guanajuato, Mexico.
Claudia BiguettiBone-Muscle Research Center, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, TX, 76019-0407, USA.
Marco BrottoBone-Muscle Research Center, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, TX, 76019-0407, USA. Electronic address: marco.brotto@uta.edu.
The University of Texas at Arlington · USMathematics Research Center · MX

Funding

Transgenic and Mechanical Loading CoreP01AG039355 · NIA · UNIVERSITY OF MISSOURI KANSAS CITY · PI BONEWALD, LYNDA F · 2012 to 2024
$19.3M
Preserving Mitochondrial Function for Alleviating ALS ProgressionR01NS105621 · NINDS · UNIVERSITY OF TEXAS ARLINGTON · PI BROTTO, MARCO, ZHOU, JINGSONG · 2019 to 2023
$2.9M
Regulation of Store-Operated Calcium Entry During Muscle AgingR01AG056504 · NIA · OHIO STATE UNIVERSITY · PI BROTTO, MARCO, WEISLEDER, NOAH · 2018 to 2022
$2.6M
Loss of Numb in Muscle Dysfunction in AgingR01AG060341 · NIA · BRONX VETERANS MEDICAL RESEARCH FDN · PI BROTTO, MARCO, CARDOZO, CHRISTOPHER P · 2018 to 2022
$2.4M
Protecting the Diabetic Skeletal Muscle by Nampt ActivationR01DK119066 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI BROTTO, MARCO, TIPPARAJU, SRINIVAS M. · 2019 to 2023
$2.0M
NIA NIH HHS P01 AG039355NIA NIH HHS R01 AG056504NIA NIH HHS R01 AG060341NIDDK NIH HHS R01 DK119066NINDS NIH HHS R01 NS105621
6 · The paper itself

Abstract

Muscle injury during aging predisposes skeletal muscles to increased damage due to reduced regenerative capacity. Some of the common causes of muscle injury are strains, while other causes are more complex muscle myopathies and other illnesses, and even excessive exercise can lead to muscle damage. We develop a new mathematical model based on ordinary differential equations of muscle regeneration. It includes the interactions between the immune system, healthy and damaged myonuclei as well as satellite cells. Our new mathematical model expands beyond previous ones by accounting for 21 specific parameters, including those parameters that deal with the interactions between the damaged and dead myonuclei, the immune system, and the satellite cells. An important assumption of our model is the replacement of only damaged parts of the muscle fibers and the dead myonuclei. We conduce systematic sensitivity analysis to determine which parameters have larger effects on the model and therefore are more influential for the muscle regeneration process. We propose additional validation for these parameters. We further demonstrate that these simulations are species-, muscle-, and age-dependent. In addition, the knowledge of these parameters and their interactions, may suggest targeting or selecting these interactions for treatments that accelerate the muscle regeneration process.

Indexed as

Models, BiologicalAgingAnimalsComputer SimulationHumansMacrophagesMathematical ConceptsModels, ImmunologicalMonocytesMuscle DevelopmentMuscle, SkeletalNeutrophilsRegenerationSatellite Cells, Skeletal MuscleSystems BiologyMathematical modelingMuscleMyotubesRegeneration

Identifiers

PMID33465385
PMCPMC8753861
OpenAlexW3123380714

What OpenQuestion holds

Textmetadata
LicenceTDM
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.