Evidence map›Paper›PMID 39676858›Full record

ReviewFrontiers in immunology2024

Immunomodulatory potential of primary cilia in the skin.

Jingwei Sun, Huimin Yuan, Yanru Yu, Aorou Li, Zihe Zhao, Yang Tang, Fengjie Zheng

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jingwei Sun *School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Huimin Yuan *Department of Dermatology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
Yanru YuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Aorou LiSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Zihe ZhaoSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Yang TangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Fengjie ZhengSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary cilia (PC) are essential signaling hubs for proper epithelial formation and the maintenance of skin homeostasis. Found on most cells in the human body, including skin cells, PC facilitate signal transduction that allows ciliated cells to interact with the immune system via multiple pathways, helping to maintain immune system homeostasis. PC can be altered by various microenvironmental stimuli to develop corresponding regulatory functions. Both PC and ciliary signaling pathways have been shown to be involved in the immune processes of various skin lesions. However, the mechanisms by which PC regulate cellular functions and maintain immune homeostasis in tissues are highly complex, and our understanding of them in the skin remains limited. In this paper, we discuss key ciliary signaling pathways and ciliated cells in the skin, with a focus on their immunomodulatory functions. We have compiled evidence from various cells, tissues and disease models to help explore the potential immunomodulatory effects of PC in the skin and their molecular mechanisms.

Indexed as

CiliaImmunomodulationSignal TransductionSkinAnimalsHomeostasisHumansfibroblastsimmunoregulationkeratinocytesLangerhans cellsprimary ciliasignaling pathwayskin

Identifiers

PMID39676858
PMCPMC11638010

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.