Evidence map›Paper›PMID 28035423›Full record

ArticleJournal of mathematical biology2017

A reaction-diffusion model for radiation-induced bystander effects.

Oluwole Olobatuyi, Gerda de Vries, Thomas Hillen

Abstract read
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In one paragraph

Article in Journal of mathematical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
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  7. Review
  8. Article
  9. Hadrontherapy Interactions in Molecular and Cellular Biology.International journal of molecular sciences · 2019
    Review
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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

3 authors at 1 institution in 1 country.

Oluwole OlobatuyiCentre for Mathematical Biology, Mathematical and Statistical Sciences, University of Alberta, Edmonton, T6G2G1, Canada. olobatuy@ualberta.ca.ORCID 0000-0002-6376-5962
Gerda de VriesCentre for Mathematical Biology, Mathematical and Statistical Sciences, University of Alberta, Edmonton, T6G2G1, Canada.
Thomas HillenCentre for Mathematical Biology, Mathematical and Statistical Sciences, University of Alberta, Edmonton, T6G2G1, Canada.
University of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We develop and analyze a reaction-diffusion model to investigate the dynamics of the lifespan of a bystander signal emitted when cells are exposed to radiation. Experimental studies by Mothersill and Seymour 1997, using malignant epithelial cell lines, found that an emitted bystander signal can still cause bystander effects in cells even 60 h after its emission. Several other experiments have also shown that the signal can persist for months and even years. Also, bystander effects have been hypothesized as one of the factors responsible for the phenomenon of low-dose hyper-radiosensitivity and increased radioresistance (HRS/IRR). Here, we confirm this hypothesis with a mathematical model, which we fit to Joiner's data on HRS/IRR in a T98G glioma cell line. Furthermore, we use phase plane analysis to understand the full dynamics of the signal's lifespan. We find that both single and multiple radiation exposure can lead to bystander signals that either persist temporarily or permanently. We also found that, in an heterogeneous environment, the size of the domain exposed to radiation and the number of radiation exposures can determine whether a signal will persist temporarily or permanently. Finally, we use sensitivity analysis to identify those cell parameters that affect the signal's lifespan and the signal-induced cell death the most.

Indexed as

Models, TheoreticalBystander EffectCell Line, TumorCell SurvivalDose-Response Relationship, RadiationHumansRadiation ToleranceBystander effectsCytochrome complexHyper-radiosensitivityIncreased radioresistanceRadiation-induced bystander signalReaction–diffusion model

Identifiers

PMID28035423
OpenAlexW2564090967

What OpenQuestion holds

Textmetadata
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.