Evidence map›Paper›PMID 35837386›Full record

ReviewFrontiers in immunology2022

The Dendritic Cell Dilemma in the Skin: Between Tolerance and Immunity.

Nils Scheib, Jessica Tiemann, Christian Becker, Hans Christian Probst, Verena Katharina Raker, Kerstin Steinbrink

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
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  7. LangerinClinical, cosmetic and investigational dermatology · 2025
    Review
  8. Article
  9. Article
  10. Review
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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

6 authors.

Nils ScheibDepartment of Dermatology, University Hospital, Westfälische Wilhelms-University Münster, Münster, Germany.
Jessica TiemannDepartment of Dermatology, University Hospital, Westfälische Wilhelms-University Münster, Münster, Germany.
Christian BeckerDepartment of Dermatology, University Hospital, Westfälische Wilhelms-University Münster, Münster, Germany.
Hans Christian ProbstInstitute for Immunology, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany.
Verena Katharina RakerDepartment of Dermatology, University Hospital, Westfälische Wilhelms-University Münster, Münster, Germany.
Kerstin SteinbrinkDepartment of Dermatology, University Hospital, Westfälische Wilhelms-University Münster, Münster, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dendritic cells (DC) are uniquely capable of initiating and directing immune responses. The range of their activities grounds in the heterogeneity of DC subsets and their functional plasticity. Numerical and functional DC changes influence the development and progression of disease, and correction of such dysregulations has the potential to treat disease causally. In this review, we discuss the major advances in our understanding of the regulation of DC lineage formation, differentiation, and function in the skin. We describe the alteration of DC in disease as well as possibilities for therapeutic reprogramming with a focus on tolerogenic DC. Because regulatory T cells (Treg) are indispensable partners of DC in the induction and control of tolerance, we pay special attention to the interactions with these cells. Above all, we would like to arouse fascination for this cell type and its therapeutic potential in skin diseases.

Indexed as

Dendritic CellsImmune ToleranceCell DifferentiationSkinT-Lymphocytes, Regulatorycellular immunotherapyDC targeted vaccinesdendritic cellsinterleukin 10tolerancetreg cells

Identifiers

PMID35837386
PMCPMC9275407

What OpenQuestion holds

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Registered trials

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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.