Evidence map›Paper›PMID 42111235›Full record

ArticleClinical, cosmetic and investigational dermatology2026

Integrative Transcriptomic and Single-Cell Analysis Reveals the Role of Autophagy-Related Genes in Psoriasis Pathogenesis.

Ying Zhou, Bingjie Chen, Junming Chen, Linglu Fang, Litian Zhang, Shuhui Dou, Fanggu Li, Jingtong Huang, Chongyang Chen

Abstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Ying Zhou *Institute of Dermatology and Venereal Diseases, Department of Dermatology and Venereal Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, People's Republic of China.
Bingjie Chen *Institute of Dermatology and Venereal Diseases, Department of Dermatology and Venereal Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, People's Republic of China.
Junming ChenInstitute of Dermatology and Venereal Diseases, Department of Dermatology and Venereal Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, People's Republic of China.
Linglu FangInstitute of Dermatology and Venereal Diseases, Department of Dermatology and Venereal Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, People's Republic of China.
Litian ZhangInstitute of Dermatology and Venereal Diseases, Department of Dermatology and Venereal Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, People's Republic of China.ORCID 0000-0003-1959-9845
Shuhui DouInstitute of Dermatology and Venereal Diseases, Department of Dermatology and Venereal Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, People's Republic of China.
Fanggu LiInstitute of Dermatology and Venereal Diseases, Department of Dermatology and Venereal Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, People's Republic of China.
Jingtong HuangInstitute of Dermatology and Venereal Diseases, Department of Dermatology and Venereal Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, People's Republic of China.
Chongyang ChenInstitute of Dermatology and Venereal Diseases, Department of Dermatology and Venereal Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Psoriasis is a chronic inflammatory skin disease that is characterized by abnormal keratinocyte proliferation and differentiation. This study aimed to explore potential regulatory mechanisms and key genes related to autophagy in the pathogenesis of psoriasis. Patients and Methods: We performed pseudotime trajectory analysis and cell communication analysis on psoriasis and normal samples from single-cell RNA sequencing (scRNA-seq) data. Autophagy-related genes identified from scRNA-seq data were intersected with differentially expressed genes derived from the mRNA sequencing data. Protein-protein interaction (PPI) analysis was subsequently applied to identify candidate hub genes. Finally, the expression of these hub genes was validated in clinical cohorts and mouse models, thereby confirming the general applicability of hub genes in a larger patient cohort. Results: AUCell analysis revealed a predominant enrichment of autophagically active cells within the keratinocyte population. Along the keratinocyte differentiation trajectory, both the Renin angiotensin system (RAS) and NOD-like receptor signaling pathways were downregulated. Cell communication analysis revealed enhanced HLA-E-CD94/NKG2A inhibitory signals and weakened KLRK1 activating signals in the psoriatic microenvironment. These alterations are closely associated with mTORC1 hyperactivation-induced autophagy deficiency, which collectively impairs NK cell-mediated immune surveillance. In the imiquimod-induced model, three of the seven candidate hub genes (PKP3, SPRR2B, and KRT6B) were significantly upregulated compared with the controls. Subsequent sequencing and RT-qPCR analyses in the clinical cohort consistently demonstrated the upregulation of PKP3, SPRR2B, and KRT6B, supporting their roles as autophagy-related genes that mediate autophagic processes in psoriasis. Conclusion: These findings elucidate the potential mechanisms of autophagy-related genes in keratinocyte dysfunction and inflammatory progression in psoriasis, and may provide potential therapeutic targets against autophagy modulation.

Indexed as

CD94/NKG2AHLA-EKeratinocyteKLRK1

Identifiers

PMID42111235
PMCPMC13155406

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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.