Evidence map›Paper›PMID 37424316›Full record

ArticleComputer methods in biomechanics and biomedical engineering2024

Mitochondrial transport in symmetric and asymmetric axons with multiple branching junctions: a computational study.

Ivan A Kuznetsov, Andrey V Kuznetsov

Open access · greenAbstract read
In one paragraph

Article in Computer methods in biomechanics and biomedical engineering, 2024. 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
0.3field-weighted citation impact, top 37% 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, 2 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Ivan A KuznetsovPerelman School of Medicine, University of PA, Philadelphia, PA, USA.
Andrey V KuznetsovDepartment of Mechanical and Aerospace Engineering, NC State University, Raleigh, NC, USA.
North Carolina State University · USUniversity of Pennsylvania · US

Funding

Computationally Driven Design of De Novo Genetically Encoded Voltage IndicatorsF30MH122076 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI KUZNETSOV, IVAN · 2020 to 2023
$151k
NIMH NIH HHS F30 MH122076
6 · The paper itself

Abstract

Mitochondrial aging has been proposed to be involved in a variety of neurodegenerative disorders, such as Parkinson's disease. Here, we explore the impact of multiple branching junctions in axons on the mean age of mitochondria and their age density distributions in demand sites. The study examined mitochondrial concentration, mean age, and age density distribution in relation to the distance from the soma. We developed models for a symmetric axon containing 14 demand sites and an asymmetric axon containing 10 demand sites. We investigated how the concentration of mitochondria changes when an axon splits into two branches at the branching junction. Additionally, we studied whether mitochondrial concentrations in the branches are affected by what proportion of mitochondrial flux enters the upper branch versus the lower branch. Furthermore, we explored whether the distributions of mitochondrial mean age and age density in branching axons are affected by how the mitochondrial flux splits at the branching junction. When the mitochondrial flux is unevenly split at the branching junction of an asymmetric axon, with a greater proportion of the flux entering the longer branch, the average age of mitochondria (system age) in the axon increases. Our findings elucidate the effects of axonal branching on the mitochondrial age.

Indexed as

AxonsMitochondriaBiological TransportComputer SimulationHumansModels, Neurologicalcomputational biologylarge axonal arborsmitochondrial agingNeurodegenerationParkinson’s disease

Identifiers

PMID37424316
PMCPMC10776827
OpenAlexW4383710161

What OpenQuestion holds

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LicenceTDM
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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.