Evidence map›Paper›PMID 41098684›Full record

ArticleJournal of inflammation research2025

Six Interferon-Stimulated Genes as Biomarkers of M1 Macrophage Polarization in Psoriasis.

Sha Wu, Yan Mao, Lidan Hu, Haixia Ji, Xing Liu, Guolan Ma, Chen Chen, Chuang Xiao, Dan Xu, Weimin Yang

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

10 authors.

Sha Wu *Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, Yunnan, People's Republic of China.
Yan Mao *Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, Yunnan, People's Republic of China.
Lidan HuFirst Affiliated Hospital of Kunming Medical University, Kunming Medical University, Kunming, Yunnan, People's Republic of China.
Haixia JiYunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, Yunnan, People's Republic of China.
Xing LiuThe Affiliated Yan'an Hospital of Kunming Medical University, Kunming Medical University, Kunming, Yunnan, People's Republic of China.
Guolan MaYunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, Yunnan, People's Republic of China.
Chen ChenYunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, Yunnan, People's Republic of China.
Chuang XiaoYunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, Yunnan, People's Republic of China.
Dan XuFirst Affiliated Hospital of Kunming Medical University, Kunming Medical University, Kunming, Yunnan, People's Republic of China.
Weimin YangYunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, Yunnan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Psoriasis is a chronic, immune-mediated, inflammatory skin disease characterized by abnormal keratinocyte proliferation, in which M1 macrophage polarization plays a critical role. However, the specific biomarkers and mechanisms underlying macrophage polarization in psoriasis remain unclear. Methods: We analyzed the psoriasis dataset (GSE14905) to identify differentially expressed genes and applied weighted gene co-expression network analysis to identify key module genes. Macrophage polarization-related (MPR) genes were extracted from the Rummagene database, and MPR genes in psoriasis were identified through Venn analysis. Functional enrichment analysis (GO/KEGG) revealed associated pathways, while six CytoHubba algorithms determined hub genes, with diagnostic potential assessed via ROC curves. Single-gene GSEA further explored biological functions, and single-cell sequencing analysis was performed. Finally, the expression of hub genes and M1 macrophage markers (CD80/CD86) was experimentally validated in psoriasis mouse models. Results: Six hub genes (ISG15, RSAD2, IFIT3, OASL, GBP1, and IFIT1) were identified through cytoHubba algorithms. Functional enrichment analysis revealed significant associations between psoriasis-associated macrophage polarization and the RIG-I-like receptor, NOD-like receptor, and cAMP signaling pathways. Experimental validation verified the increased expression of these hub genes and M1 macrophage markers in LPS-stimulated RAW264.7 murine macrophages and IMQ-induced psoriasis animal models. Conclusion: Our findings suggest that six interferon-responsive genes (ISG15, RSAD2, IFIT3, OASL, GBP1, and IFIT1) could serve as potential biomarkers for M1 macrophage polarization in psoriasis. Targeting macrophage polarization through IFN pathway inhibition may offer novel therapeutic strategies, particularly for patients with prominent IFN signatures refractory to conventional treatments.

Indexed as

bioinformatics analysisbiomarkersmacrophage polarizationpsoriasis

Identifiers

PMID41098684
PMCPMC12518975

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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.