# Comprehensive analysis of pyroptosis-related genes in psoriasis and targeted gene editing of CASP1 and CASP5 using lipid nanoparticles to alleviate skin inflammation

**Authors:** Gexiao Xu, Guanyi Ma, Jiachen Sun, Xiaoyan Yu, Jie Sun, Bing Gao

PMC · DOI: 10.3389/fbioe.2025.1639869 · Frontiers in Bioengineering and Biotechnology · 2025-07-23

## TL;DR

This study explores how pyroptosis-related genes contribute to psoriasis and uses gene editing to reduce skin inflammation.

## Contribution

The paper introduces a risk score model for psoriasis severity and demonstrates gene editing of CASP1 and CASP5 to alleviate inflammation.

## Key findings

- A machine learning model identified CASP1, CASP5, and other genes as key drivers of psoriasis severity.
- High-risk patients showed increased immune cell infiltration and worse symptoms.
- CRISPR-Cas9 gene editing via lipid nanoparticles reduced inflammation in a mouse model of psoriasis.

## Abstract

Psoriasis is a chronic inflammatory skin disorder driven by immune dysregulation and excessive cell death. Pyroptosis, a form of inflammatory programmed cell death, has not been extensively studied in the context of psoriasis despite its importance in inflammation. In this study, we systematically analyzed the expression of pyroptosis-related genes (PRGs) in psoriasis to identify critical players involved in disease progression. Using bioinformatics tools and publicly available datasets, we constructed a risk score model based on machine learning algorithms, which identified several key hub genes including CASP1, CASP5, AIM2, GZMB, GZMA, IL1B, and NOD2. The generated risk score model demonstrated robust performance in external validation datasets, showing strong predictive power for psoriasis severity and immune infiltration. High-risk patients exhibited increased inflammatory cell infiltration and worsening clinical symptoms, which was consistent with the model’s ability to predict immune response dynamics in psoriatic lesions. To further validate our findings, we analyzed single-cell RNA sequencing data and demonstrated that the risk score was highly correlated with immune cell composition, particularly DCs, T cells, and mast cells, indicating that patients with higher risk scores have more severe disease and stronger immune infiltration. Additionally, we targeted CASP1 and CASP5 using CRISPR-Cas9 delivery via lipid nanoparticles (LNPs) to selectively knock out these genes in keratinocytes, resulting in significant therapeutic effects in the IMQ-induced psoriasis mouse model. Our findings provide comprehensive insights into the role of pyroptosis in psoriasis and propose a novel gene editing strategy for alleviating the disease.

## Linked entities

- **Genes:** CASP1 (caspase 1) [NCBI Gene 834], CASP5 (caspase 5) [NCBI Gene 838], AIM2 (absent in melanoma 2) [NCBI Gene 9447], GZMB (granzyme B) [NCBI Gene 3002], GZMA (granzyme A) [NCBI Gene 3001], IL1B (interleukin 1 beta) [NCBI Gene 3553], NOD2 (nucleotide binding oligomerization domain containing 2) [NCBI Gene 64127]
- **Diseases:** psoriasis (MONDO:0005083)

## Full-text entities

- **Genes:** NOD2 (nucleotide binding oligomerization domain containing 2) [NCBI Gene 64127] {aka ACUG, BLAU, BLAUS, CARD15, CD, CLR16.3}, AIM2 (absent in melanoma 2) [NCBI Gene 9447] {aka PYHIN4}, GZMB (granzyme B) [NCBI Gene 3002] {aka C11, CCPI, CGL-1, CGL1, CSP-B, CSPB}, CASP5 (caspase 5) [NCBI Gene 838] {aka ICE(rel)III, ICEREL-III, ICH-3}, CASP1 (caspase 1) [NCBI Gene 834] {aka ICE, IL1BC, P45}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, GZMA (granzyme A) [NCBI Gene 3001] {aka CTLA3, HFSP}
- **Diseases:** inflammation (MESH:D007249), skin disorder (MESH:D012871), psoriatic lesions (MESH:D015535), Psoriasis (MESH:D011565)
- **Chemicals:** lipid (MESH:D008055), IMQ (MESH:D000077271)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12325318/full.md

## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12325318/full.md

## References

38 references — full list in the complete paper: https://tomesphere.com/paper/PMC12325318/full.md

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Source: https://tomesphere.com/paper/PMC12325318