Evidence map›Paper›PMID 24042968›Full record

ArticleNature communications2013

Genome-wide mapping of gene-microbiota interactions in susceptibility to autoimmune skin blistering.

Girish Srinivas, Steffen Möller, Jun Wang, Sven Künzel, Detlef Zillikens, John F Baines, Saleh M Ibrahim

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Nature communications, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03149900 (Exploratory Evaluation of Biomarkers Associated With Treatment Response to Cosentyx), which is not on this map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
7.5field-weighted citation impact, top 2% 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.

NCT03149900 completednot on this mapstarted 2016, after this paper: background citation

Exploratory Evaluation of Biomarkers Associated With Treatment Response to Cosentyx (Secukinumab) in Psoriasis Patients

TypeobservationalSponsorDiamant ThaciRan2016 to 2019Enrolled40ConditionsPsoriasis VulgarisArmsSecukinumab
3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 111 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Bacterial Communities ofMicroorganisms · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Fast computation of genome-metagenome interaction effects.Algorithms for molecular biology : AMB · 2020
    Article
  19. Article
  20. 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

7 authors at 2 institutions in 1 country.

Girish Srinivas1] Max Planck Institute for Evolutionary Biology, August-Thienemann-Street 2, D-24306 Plön, Germany [2] Department of Dermatology, University of Lübeck, Ratzeburger Allee 160, D-23538 Lübeck, Germany.
Steffen Möller
Jun Wang
Sven Künzel
Detlef Zillikens
John F Baines
Saleh M Ibrahim
Max Planck Institute for Evolutionary Biology · DEUniversity of Lübeck · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Susceptibility to chronic inflammatory diseases is determined by immunogenetic and environmental risk factors. Resident microbial communities often differ between healthy and diseased states, but whether these differences are of primary aetiological importance or secondary to the altered inflammatory environment remains largely unknown. Here we provide evidence for host gene-microbiota interactions contributing to disease risk in a mouse model of epidermolysis bullosa acquisita, an autoantibody-induced inflammatory skin disease. Using an advanced intercross, we identify genetic loci contributing to skin microbiota variability, susceptibility to skin blistering and their overlap. Furthermore, by treating bacterial species abundances as covariates with disease we reveal a novel disease locus. The majority of the identified covariate taxa are characterized by reduced abundance being associated with increased disease risk, providing evidence of a primary role in protection from disease. Further characterization of these putative probiotic species or species assemblages offers promising potential for preventative and therapeutic treatment development.

Indexed as

Chromosome MappingGenetic Predisposition to DiseaseAnimalsBiodiversityDisease Models, AnimalEpidermolysis Bullosa AcquisitaImmunizationMiceMicrobiotaQuantitative Trait LociSkinSpecies Specificity

Identifiers

PMID24042968
PMCPMC3778513
OpenAlexW2032579367

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.