Evidence map›Paper›PMID 41037009›Full record

RevieweLife2025

Trained immunity in skin infections: Macrophages and beyond.

Vitka Gres, Merve Göcer, Julia Kolter, Philipp Henneke

Abstract readReview
In one paragraph

Review in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Epithelial-Dermal Immune Memory: TrackingInternational journal of molecular sciences · 2026
    Review
  3. Colonization of 3D-organotypic human skin by the Lyme Disease pathogen,bioRxiv : the preprint server for biology · 2026
    Article
  4. Establishment of a murine resident dermal macrophage cell line.bioRxiv : the preprint server for biology · 2026
    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

4 authors.

Vitka Gres *Institute for Infection Prevention and Control, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0002-5034-4691
Merve Göcer *Institute for Infection Prevention and Control, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany.ORCID https://orcid.org/0009-0001-4180-457X
Julia KolterInstitute for Infection Prevention and Control, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Philipp HennekeInstitute for Infection Prevention and Control, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0001-7314-7984

Funding

Deutsche Forschungsgemeinschaft CRC1160 (Project ID 256073931)Deutsche Forschungsgemeinschaft TRR167 (Project ID 259373024)Deutsche Forschungsgemeinschaft TRR359 (Project ID 491676693)
6 · The paper itself

Abstract

The skin is frequently subjected to minor mechanical insults that may compromise its barrier integrity and permit the entry of pathogens. Therefore, the immune system of the skin needs to rapidly balance antimicrobial defense with tissue repair. To maintain homeostasis, the skin relies both on acute immune defenses and on mechanisms of innate memory or trained immunity. This enhanced inflammatory response to a second challenge has been well characterized in bone marrow cells, such as monocytes, monocyte-derived macrophages, and stem cells. Yet, the specific memory responses in skin-resident immune cells remain less understood. Importantly, the common skin colonizer

Indexed as

Immunity, InnateImmunologic MemoryMacrophagesSkinStaphylococcus aureusAnimalsHumansTrained ImmunityDermisimmunologyinflammationmacrophagesS. aureusskintrained immunity

Identifiers

PMID41037009
PMCPMC12490854

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.