Identification of Potential Ferroptosis Biomarkers and Analysis of Immune Cell Infiltration in Psoriasis Using Machine Learning

IF 1.9 4区医学 Q3 DERMATOLOGY

Clinical, Cosmetic and Investigational Dermatology Pub Date : 2024-05-31 DOI:10.2147/ccid.s457958

Xiaoyan Wu, Yuzhe Sun, Shuyi Wei, Huoyou Hu, Bin Yang

{"title":"Identification of Potential Ferroptosis Biomarkers and Analysis of Immune Cell Infiltration in Psoriasis Using Machine Learning","authors":"Xiaoyan Wu, Yuzhe Sun, Shuyi Wei, Huoyou Hu, Bin Yang","doi":"10.2147/ccid.s457958","DOIUrl":null,"url":null,"abstract":"Background: Ferroptosis is a type of cell death characterized by the accumulation of iron-dependent lethal lipid peroxides, which is associated with various pathophysiological processes. Psoriasis is a chronic autoimmune skin disease accompanied by abnormal immune cell infiltration and excessive production of lipid reactive oxygen species (ROS). Currently, its pathogenesis remains elusive, especially the potential role of ferroptosis in its pathophysiological process. Methods: The microarrays GSE13355 (58 psoriatic skin specimens versus 122 healthy skin specimens) and the ferroptosis database were employed to identify the common differentially expressed genes (DEGs) associated with psoriasis and ferroptosis. The functions of common DEGs were investigated through functional enrichment analysis and protein-protein interaction analysis. The potential diagnostic markers for psoriasis among the common DEGs were identified using four machine-learning algorithms. DGIdb was utilized to explore potential therapeutic agents for psoriasis. Additionally, CIBERSORT was employed to investigate immune infiltration in psoriasis. Results: A total of 8 common DEGs associated with psoriasis and ferroptosis were identified, which are involved in intercellular signaling and affect pathways of cell response to stress and stimulation. Four machine-learning algorithms were employed to identify poly (ADP-ribose) polymerase 12 (PARP12), frizzled homolog 7 (FZD7), and arachidonate 15-lipoxygenase (ALOX15B) among the eight common DEGs as potential diagnostic markers for psoriasis. A total of 18 drugs targeting the five common DEGs were identified as potential candidates for treating psoriasis. Additionally, significant changes were observed in the immune microenvironment of patients with psoriasis. Conclusion: This study has contributed to our enhanced comprehension of ferroptosis-related genes as potential biomarkers for psoriasis diagnosis, as well as the alterations in the immune microenvironment associated with psoriasis. Our findings offer valuable insights into the diagnosis and treatment of psoriasis. ","PeriodicalId":10447,"journal":{"name":"Clinical, Cosmetic and Investigational Dermatology","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical, Cosmetic and Investigational Dermatology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/ccid.s457958","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DERMATOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Background: Ferroptosis is a type of cell death characterized by the accumulation of iron-dependent lethal lipid peroxides, which is associated with various pathophysiological processes. Psoriasis is a chronic autoimmune skin disease accompanied by abnormal immune cell infiltration and excessive production of lipid reactive oxygen species (ROS). Currently, its pathogenesis remains elusive, especially the potential role of ferroptosis in its pathophysiological process.
Methods: The microarrays GSE13355 (58 psoriatic skin specimens versus 122 healthy skin specimens) and the ferroptosis database were employed to identify the common differentially expressed genes (DEGs) associated with psoriasis and ferroptosis. The functions of common DEGs were investigated through functional enrichment analysis and protein-protein interaction analysis. The potential diagnostic markers for psoriasis among the common DEGs were identified using four machine-learning algorithms. DGIdb was utilized to explore potential therapeutic agents for psoriasis. Additionally, CIBERSORT was employed to investigate immune infiltration in psoriasis.
Results: A total of 8 common DEGs associated with psoriasis and ferroptosis were identified, which are involved in intercellular signaling and affect pathways of cell response to stress and stimulation. Four machine-learning algorithms were employed to identify poly (ADP-ribose) polymerase 12 (PARP12), frizzled homolog 7 (FZD7), and arachidonate 15-lipoxygenase (ALOX15B) among the eight common DEGs as potential diagnostic markers for psoriasis. A total of 18 drugs targeting the five common DEGs were identified as potential candidates for treating psoriasis. Additionally, significant changes were observed in the immune microenvironment of patients with psoriasis.
Conclusion: This study has contributed to our enhanced comprehension of ferroptosis-related genes as potential biomarkers for psoriasis diagnosis, as well as the alterations in the immune microenvironment associated with psoriasis. Our findings offer valuable insights into the diagnosis and treatment of psoriasis.

查看原文本刊更多论文

利用机器学习识别潜在的铁蛋白沉积生物标记物并分析银屑病中的免疫细胞浸润

背景：铁中毒是一种细胞死亡，其特点是铁依赖性致命脂质过氧化物的积累，与各种病理生理过程有关。银屑病是一种慢性自身免疫性皮肤病，伴有异常的免疫细胞浸润和脂质活性氧（ROS）的过度产生。目前，银屑病的发病机制仍不明确，尤其是铁氧化在其病理生理过程中的潜在作用：方法：利用微阵列 GSE13355（58 例银屑病皮肤标本与 122 例健康皮肤标本）和铁蛋白沉积数据库来识别与银屑病和铁蛋白沉积相关的常见差异表达基因（DEGs）。通过功能富集分析和蛋白相互作用分析研究了常见 DEGs 的功能。利用四种机器学习算法从常见 DEGs 中识别出银屑病的潜在诊断标记。利用 DGIdb 探索了银屑病的潜在治疗药物。此外，还利用CIBERSORT研究了银屑病的免疫浸润：结果：共发现了8个与银屑病和铁中毒相关的常见DEGs，它们参与细胞间信号转导，影响细胞对压力和刺激的反应途径。通过四种机器学习算法，在这8个常见的DEGs中识别出了多（ADP-核糖）聚合酶12（PARP12）、皱纹同源物7（FZD7）和花生四烯酸15-脂氧合酶（ALOX15B）作为银屑病的潜在诊断标志物。共有 18 种针对这五种常见 DEGs 的药物被确定为治疗银屑病的潜在候选药物。此外，还观察到银屑病患者的免疫微环境发生了重大变化：这项研究有助于我们进一步了解作为银屑病诊断潜在生物标志物的铁蛋白沉积相关基因，以及与银屑病相关的免疫微环境变化。我们的研究结果为银屑病的诊断和治疗提供了有价值的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Clinical, Cosmetic and Investigational Dermatology Medicine-Dermatology

CiteScore

2.80

自引率

4.30%

发文量

353

审稿时长

16 weeks

期刊介绍： Clinical, Cosmetic and Investigational Dermatology is an international, peer-reviewed, open access journal that focuses on the latest clinical and experimental research in all aspects of skin disease and cosmetic interventions. Normal and pathological processes in skin development and aging, their modification and treatment, as well as basic research into histology of dermal and dermal structures that provide clinical insights and potential treatment options are key topics for the journal. Patient satisfaction, preference, quality of life, compliance, persistence and their role in developing new management options to optimize outcomes for target conditions constitute major areas of interest. The journal is characterized by the rapid reporting of clinical studies, reviews and original research in skin research and skin care. All areas of dermatology will be covered; contributions will be welcomed from all clinicians and basic science researchers globally.