Evidence map›Paper›PMID 35550671›Full record

ReviewCell host & microbe2022

Early life host-microbe interactions in skin.

Laura R Dwyer, Tiffany C Scharschmidt

Open access · greenAbstract readReview
In one paragraph

Review in Cell host & microbe, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
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  6. Review
  7. Skin microbiome and dermatologic disorders.The Journal of clinical investigation · 2025
    Review
  8. Gut-X axis.iMeta · 2025
    Review
  9. Review
  10. Review
  11. Article
  12. Article
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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

2 authors at 1 institution in 1 country.

Laura R DwyerDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, USA; Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA.
Tiffany C ScharschmidtDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, USA. Electronic address: tiffany.scharschmidt@ucsf.edu.
University of California, San Francisco · US

Funding

MOLECULAR AND CELLULAR IMMUNOLOGYT32AI007334 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CYSTER, JASON G · 1988 to 2023
$11.0M
Decoding and harnessing microbial tuning of T cell responses in early lifeDP2AI144968 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SCHARSCHMIDT, TIFFANY CRAWFORD · 2018 to 2018
$2.4M
NIAID NIH HHS DP2 AI144968NIAID NIH HHS T32 AI007334
6 · The paper itself

Abstract

Our skin is the interface through which we mediate lifelong interactions with our surrounding environment. Initial development of the skin's epidermis, adnexal structures, and barrier function is necessary for normal cutaneous microbial colonization, immune development, and prevention of disease. Early life microbial exposures can have unique and long-lasting impacts on skin health. The identity of neonatal skin microbes and the context in which they are first encountered, i.e., through a compromised skin barrier or in conjunction with cutaneous inflammation, can have additional short- and long-term health consequences. Here, we discuss key attributes of infant skin and endogenous and exogenous factors that shape its relationship to the early life cutaneous microbiome, with a focus on their clinical implications.

Indexed as

DermatitisMicrobiotaHost Microbial InteractionsHumansInfantInfant, NewbornSkin

Identifiers

PMID35550671
PMCPMC9178950
OpenAlexW4280560167

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.