Evidence map›Paper›PMID 27890233›Full record

ReviewDermatologic clinics2017

Establishing Tolerance to Commensal Skin Bacteria: Timing Is Everything.

Tiffany C Scharschmidt

Open access · greenAbstract readReview
In one paragraph

Review in Dermatologic clinics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Beyond the skin barrier: commensalbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Neonatal sepsis and the skin microbiome.Journal of perinatology : official journal of the California Perinatal Association · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Lung microbiome - a modern knowledge.Central-European journal of immunology · 2020
    Review
  18. Article
  19. Review
  20. 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

1 author at 1 institution in 1 country.

Tiffany C ScharschmidtDepartment of Dermatology, University of California, San Francisco, 1701 Divisadero Street, 3rd Floor, San Francisco, CA 94115, USA. Electronic address: tiffany.scharschmidt@ucsf.edu.
University of California, San Francisco · US

Funding

Elucidating mechanisms of tolerance to commensal skin bacteriaK08AR068409 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SCHARSCHMIDT, TIFFANY CRAWFORD · 2015 to 2019
$851k
NIAMS NIH HHS K08 AR068409
6 · The paper itself

Abstract

Commensal bacteria live intimately and in constant dialogue with skin immune cells. Regulating our immune response to these bacteria is critical for skin homeostasis. Using a new murine model to track Staphylococcus epidermidis-specific T cells, we found that colonization during neonatal but not adult life led to S.epidermidis-specific immune tolerance. This tolerance protected against skin inflammation and was mediated by a wave of regulatory T cells entering neonatal skin. These findings provide new insight into how we establish a healthy symbiosis with commensal microbes and highlight avenues for future research to identify novel therapies for inflammatory skin disease.

Indexed as

AnimalsAntigens, BacterialHumansImmune ToleranceImmunity, InnateMiceMicrobiotaPropionibacterium acnesSkinStaphylococcus epidermidisSymbiosisTime FactorsT-Lymphocytes, RegulatoryAntigens, BacterialCommensalsMicrobiomeNeonatalSkinToleranceTregs

Identifiers

PMID27890233
PMCPMC5130113
OpenAlexW2557037441

What OpenQuestion holds

Textmetadata
LicenceTDM
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.