Evidence map›Paper›PMID 30779817›Full record

ArticlePloS one2019

Molecular crypsis by pathogenic fungi using human factor H. A numerical model.

Stefan N Lang, Sebastian Germerodt, Christina Glock, Christine Skerka, Peter F Zipfel, Stefan Schuster

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Molecular Mimicry Mapping inPathogens (Basel, Switzerland) · 2023
    Article
  2. Article
  3. Trends in mathematical modeling of host-pathogen interactions.Cellular and molecular life sciences : CMLS · 2020
    Review
  4. Multiscale Solutions to Quantitative Systems Biology Models.Frontiers in molecular biosciences · 2019
    Article
  5. 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 2 institutions in 1 country.

Stefan N LangDept. of Bioinformatics, Friedrich Schiller University Jena, Jena, Germany.ORCID 0000-0001-9093-3741
Sebastian GermerodtDept. of Bioinformatics, Friedrich Schiller University Jena, Jena, Germany.
Christina GlockDept. of Bioinformatics, Friedrich Schiller University Jena, Jena, Germany.
Christine SkerkaDept. of Infection Biology, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Jena, Germany.
Peter F ZipfelDept. of Infection Biology, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Jena, Germany.
Stefan SchusterDept. of Bioinformatics, Friedrich Schiller University Jena, Jena, Germany.ORCID 0000-0003-0470-9802
Friedrich Schiller University Jena · DELeibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular mimicry is the formation of specific molecules by microbial pathogens to avoid recognition and attack by the immune system of the host. Several pathogenic Ascomycota and Zygomycota show such a behaviour by utilizing human complement factor H to hide in the blood stream. We call this type of mimicry molecular crypsis. Such a crypsis can reach a point where the immune system can no longer clearly distinguish between self and non-self cells. Thus, a trade-off between attacking disguised pathogens and erroneously attacking host cells has to be made. Based on signalling theory and protein-interaction modelling, we here present a mathematical model of molecular crypsis of pathogenic fungi using the example of Candida albicans. We tackle the question whether perfect crypsis is feasible, which would imply that protection of human cells by complement factors would be useless. The model identifies pathogen abundance relative to host cell abundance as the predominant factor influencing successful or unsuccessful molecular crypsis. If pathogen cells gain a (locally) quantitative advantage over host cells, even autoreactivity may occur. Our new model enables insights into the mechanisms of candidiasis-induced sepsis and complement-associated autoimmune diseases.

Indexed as

Models, BiologicalAutoimmune DiseasesCandida albicansCandidiasisComplement Factor HHumansSepsisComplement Factor H

Identifiers

PMID30779817
PMCPMC6380567
OpenAlexW2953341165

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.