Evidence map›Paper›PMID 41089687›Full record

ArticleFrontiers in immunology2025

Scalp seborrheic dermatitis demonstrates a skewing of Th1 activation: a proteomic study in lesional skin.

Ningning Shen, Wei Chen, Lihua Hu, Jia Huang, Qiang Dong

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Molecular Mechanisms in Seborrheic Dermatitis-Systematic Review.International journal of molecular sciences · 2026
    Pooled it
  2. 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

5 authors.

Ningning ShenDepartment of Dermatology, Dermatology Hospital of Zhejiang Province, Huzhou, Zhejiang, China.
Wei ChenDepartment of Dermatology, Dermatology Hospital of Zhejiang Province, Huzhou, Zhejiang, China.
Lihua HuDepartment of Dermatology, Dermatology Hospital of Zhejiang Province, Huzhou, Zhejiang, China.
Jia HuangDepartment of Dermatology, Dermatology Hospital of Zhejiang Province, Huzhou, Zhejiang, China.
Qiang DongDepartment of Dermatology, Dermatology Hospital of Zhejiang Province, Huzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Scalp seborrheic dermatitis (SSD) is a common, chronic inflammatory skin disease. Its pathogenesis and immunological features have been poorly studied. Objective: To elucidate the molecular profile of adult patients with SSD in lesional scalps. Methods: Using punch biopsies, we assessed 92 inflammatory biomarkers in the lesional scalps of SSD patients (n=16) and demographically matched healthy controls (HCs; n=12) via Olink high-throughput proteomics. Results: We identified 16 differentially expressed proteins (DEPs) between lesional scalps of patients with SSD and those of HCs. SSD lesional scalps demonstrated significantly greater expressions of proteins related to T-cell/lymphocyte activation, the cytokine storm signaling pathway and the CGAS-STING signaling pathway. Ingenuity pathway analysis (IPA) highlighted Th1 skewing. These data suggest that SSD is associated with Th1 skewing and the dysregulation of lipid metabolism. Conclusion: These analyses provide a rationale for novel treatment approaches for SSD patients, mainly those targeting Th1 pathways.

Indexed as

Dermatitis, SeborrheicLymphocyte ActivationScalpScalp DermatosesSkinTh1 CellsAdultAgedBiomarkersFemaleHumansMaleMiddle AgedProteomicsSignal TransductionBiomarkersinflammatoryOlinkproteomicscalpseborrheic dermatitis

Identifiers

PMID41089687
PMCPMC12515636

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.