Evidence map›Paper›PMID 41507362›Full record

ReviewCell death and differentiation2026

Omics-based decoding of molecular and metabolic crosstalk in the skin barrier ecosystem.

Luca Elettrico, Gabriele Piacenti, Chiara Levra Levron, Osamu Ansai, Alessandro Croce, Carlotta Duval, Valentina Proserpio, Giacomo Donati

Abstract readReview
In one paragraph

Review in Cell death and differentiation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Extracellular vesicles produced byExtracellular vesicles and circulating nucleic acids · 2026
    Review
  6. 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

8 authors.

Luca Elettrico *Department of Life Sciences and Systems Biology, University of Turin, Torino, Italy.ORCID http://orcid.org/0000-0001-7003-4239
Gabriele Piacenti *Department of Life Sciences and Systems Biology, University of Turin, Torino, Italy.ORCID http://orcid.org/0000-0001-9775-2863
Chiara Levra LevronDepartment of Life Sciences and Systems Biology, University of Turin, Torino, Italy.ORCID http://orcid.org/0000-0003-1057-9792
Osamu AnsaiDepartment of Life Sciences and Systems Biology, University of Turin, Torino, Italy.
Alessandro CroceDepartment of Life Sciences and Systems Biology, University of Turin, Torino, Italy.
Carlotta DuvalDepartment of Life Sciences and Systems Biology, University of Turin, Torino, Italy.
Valentina ProserpioDepartment of Life Sciences and Systems Biology, University of Turin, Torino, Italy.ORCID http://orcid.org/0000-0003-2071-4206
Giacomo DonatiDepartment of Life Sciences and Systems Biology, University of Turin, Torino, Italy. giacomo.donati@unito.it.ORCID http://orcid.org/0000-0002-0370-8288

Funding

Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) IG2023 - Id.21640Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) MFAG 2023 - Id.29203Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) postdoc fellowshipFondazione Umberto Veronesi (Umberto Veronesi Foundation) postdoc fellowship
6 · The paper itself

Abstract

Skin homeostasis depends on interactions between epithelial cells and the microbiome mediated by molecular and biochemical factors. Perturbations of this interplay are linked to inflammatory disorders, including wound healing and cancer. While research has mainly illuminated shifts in microbial community composition, novel computational approaches are starting to reveal the host-microbe functional interactome in the cutaneous ecosystem. In this review, we specifically focus on known molecular and metabolic mechanisms linking skin epithelial cells and microorganisms in health and disease. Additionally, we summarise computational tools available to investigate these interactions integrating omics data. Furthermore, we present potential applications of this functional crosstalk to advance therapies targeting skin pathologies. Finally, we propose a comparative interactomics approach to envision the existence of ecological memories in the skin ecosystem, in parallel with the one described in the gut, hypothesising a link between epithelial and microbial memories in barrier tissues.

Indexed as

SkinAnimalsEpithelial CellsHumansMicrobiotaMultiomicsSkin Microbiome

Identifiers

PMID41507362
PMCPMC13342496

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.