Evidence map›Paper›PMID 17621951›Full record

ReviewSeminars in immunopathology2007

Toll-like receptors in the skin.

Lloyd S Miller, Robert L Modlin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Seminars in immunopathology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
3.2field-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

62 citing papers in PubMed, 1 synthesis or guideline pooled it, 152 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Molluscum Contagiosum Virus: Biology and Immune Response.Advances in experimental medicine and biology · 2024
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Inflammatory Microenvironment of Skin Wounds.Frontiers in immunology · 2022
    Review
  16. Keratins as an Inflammation Trigger Point in Epidermolysis Bullosa Simplex.International journal of molecular sciences · 2021
    Review
  17. Review
  18. Review
  19. Review
  20. Review

2 more citing papers are in PubMed but not listed here.

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.

Lloyd S MillerDivision of Dermatology and Department of Microbiology, Immunology and Molecular Genetics, Center for Health Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Robert L Modlin
University of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toll-like receptors (TLRs) are important pattern-recognition receptors involved in host defense against a variety of pathogenic microorganisms. Activation of TLRs leads to the production of cytokines, chemokines, antimicrobial peptides, and upregulation costimulatory and adhesion molecules involved in innate and adaptive immune responses. TLRs are expressed on a variety of cell types found in the skin, including keratinocytes and Langerhans cells in the epidermis, resident and trafficking immunesystem cells such as macrophages, dendritic cells, T and B cells, and mast cells in the dermis, endothelial cells of the skin microvasculature, and skin stromal cells such as fibroblasts and adipocytes. There have been an increasing number of reports demonstrating that TLRs play a key role in cutaneous host defense mechanisms against bacterial, fungal, and viral pathogens. In addition, TLRs have also been implicated in the pathophysiology of various inflammatory skin diseases.

Indexed as

AnimalsHumansSignal TransductionSkinSkin DiseasesToll-Like ReceptorsToll-Like Receptors

Identifiers

PMID17621951
OpenAlexW2027023890

What OpenQuestion holds

Textmetadata
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.