Evidence map›Paper›PMID 31050663›Full record

ArticlePLoS computational biology2019

Enchained growth and cluster dislocation: A possible mechanism for microbiota homeostasis.

Florence Bansept, Kathrin Schumann-Moor, Médéric Diard, Wolf-Dietrich Hardt, Emma Slack, Claude Loverdo

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

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  19. Sublethal antibiotics collapse gut bacterial populations by enhancing aggregation and expulsion.Proceedings of the National Academy of Sciences of the United States of America · 2019
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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

6 authors at 2 institutions in 2 countries.

Florence BanseptLaboratoire Jean Perrin, Sorbonne Université / CNRS, Paris, France.ORCID 0000-0003-0562-9222
Kathrin Schumann-MoorInstitute of Microbiology, Department of Biology, ETH Zürich, Switzerland.
Médéric DiardInstitute of Microbiology, Department of Biology, ETH Zürich, Switzerland.
Wolf-Dietrich HardtInstitute of Microbiology, Department of Biology, ETH Zürich, Switzerland.
Emma SlackInstitute of Microbiology, Department of Biology, ETH Zürich, Switzerland.ORCID 0000-0002-2473-1145
Claude LoverdoLaboratoire Jean Perrin, Sorbonne Université / CNRS, Paris, France.ORCID 0000-0002-0888-1717
Board of the Swiss Federal Institutes of Technology · CHCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunoglobulin A is a class of antibodies produced by the adaptive immune system and secreted into the gut lumen to fight pathogenic bacteria. We recently demonstrated that the main physical effect of these antibodies is to enchain daughter bacteria, i.e. to cross-link bacteria into clusters as they divide, preventing them from interacting with epithelial cells, thus protecting the host. These links between bacteria may break over time. We study several models using analytical and numerical calculations. We obtain the resulting distribution of chain sizes, that we compare with experimental data. We study the rate of increase in the number of free bacteria as a function of the replication rate of bacteria. Our models show robustly that at higher replication rates, bacteria replicate before the link between daughter bacteria breaks, leading to growing cluster sizes. On the contrary at low growth rates two daughter bacteria have a high probability to break apart. Thus the gut could produce IgA against all the bacteria it has encountered, but the most affected bacteria would be the fast replicating ones, that are more likely to destabilize the microbiota. Linking the effect of the immune effectors (here the clustering) with a property directly relevant to the potential bacterial pathogeneicity (here the replication rate) could avoid to make complex decisions about which bacteria to produce effectors against.

Indexed as

AnimalsBacteriaBacterial AdhesionBacterial Physiological PhenomenaBiological PhenomenaComputer SimulationCross-Linking ReagentsGastrointestinal MicrobiomeHomeostasisHumansImmunoglobulin AIntestinal MucosaMicrobiotaCross-Linking ReagentsImmunoglobulin A

Identifiers

PMID31050663
PMCPMC6519844
OpenAlexW2950017943

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.