Evidence map›Paper›PMID 29456513›Full record

ArticleFrontiers in physiology2018

Stochastic Effects in Autoimmune Dynamics.

Farzad Fatehi, Sergey N Kyrychko, Aleksandra Ross, Yuliya N Kyrychko, Konstantin B Blyuss

Abstract read
In one paragraph

Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Acquired drivers of C3 glomerulopathy.Clinical kidney journal · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
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  11. 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.

Farzad FatehiDepartment of Mathematics, University of Sussex, Brighton, United Kingdom.
Sergey N KyrychkoInstitute of Geotechnical Mechanics, Dnipro, Ukraine.
Aleksandra RossDepartment of Mathematics, University of Sussex, Brighton, United Kingdom.
Yuliya N KyrychkoDepartment of Mathematics, University of Sussex, Brighton, United Kingdom.
Konstantin B BlyussDepartment of Mathematics, University of Sussex, Brighton, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among various possible causes of autoimmune disease, an important role is played by infections that can result in a breakdown of immune tolerance, primarily through the mechanism of "molecular mimicry". In this paper we propose and analyse a stochastic model of immune response to a viral infection and subsequent autoimmunity, with account for the populations of T cells with different activation thresholds, regulatory T cells, and cytokines. We show analytically and numerically how stochasticity can result in sustained oscillations around deterministically stable steady states, and we also investigate stochastic dynamics in the regime of bi-stability. These results provide a possible explanation for experimentally observed variations in the progression of autoimmune disease. Computations of the variance of stochastic fluctuations provide practically important insights into how the size of these fluctuations depends on various biological parameters, and this also gives a headway for comparison with experimental data on variation in the observed numbers of T cells and organ cells affected by infection.

Indexed as

bi-stabilityimmune responsemathematical modelpathogen-induced autoimmunitystochastic effects

Identifiers

PMID29456513
PMCPMC5801658

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Registered trials

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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.