Neutrophils- and Pyroptosis-Related Genes IL1B and PYCARD as Diagnostic Biomarkers for Systemic Lupus Erythematosus

IF 3.1 3区 医学 Q1 DERMATOLOGY
Ying Li, Weibo Lian
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引用次数: 0

Abstract

Systemic lupus erythematosus (SLE) is closely associated with neutrophils and pyroptosis, but the pyroptosis related genes (PRGs) with neutrophils in SLE have been less studied. Based on public databases, key genes associated with neutrophil pyroptosis in SLE were identified through immune infiltration analysis and differential analysis. Subsequently, three machine learning algorithms were utilised to derive biomarkers. Additionally, based on the logistic regression model, we constructed a weighted score formula and determined the optimal cut-off value through receiver operating characteristic (ROC) analysis. Gene set enrichment analysis (GSEA) and localization analysis were performed on the biomarkers. The expression of the biomarkers in SLE was verified by reverse transcription-quantitative PCR (RT-qPCR) and western blotting. Through a series of screenings, two biomarkers (PYCARD and IL1B) were obtained. The weighted score based on biomarkers could better distinguish SLE patients from healthy individuals with high diagnostic accuracy. These two biomarkers were found to be involved in the same pathways, including ‘toll-like receptor signaling pathway’, ‘NOD-like receptor signaling pathway’ and ‘chemokine signaling pathway’. Subcellular localization analyses showed that both biomarkers were mainly localised in the cytoplasm. The results of RT-qPCR and western blotting showed that PYCARD and IL1B were highly expressed in SLE samples, which was consistent with our transcriptome results. In conclusion, we filled a knowledge gap in the area of central granulocyte-associated pyroptosis in SLE. These findings provide a reference for the potential targeting of neutrophil-associated pyroptosis genes in the treatment of patients with SLE.

中性粒细胞和焦热相关基因IL1B和PYCARD作为系统性红斑狼疮的诊断生物标志物
系统性红斑狼疮(SLE)与中性粒细胞和焦亡密切相关,但对SLE中嗜中性粒细胞与焦亡相关基因(PRGs)的研究较少。基于公共数据库,通过免疫浸润分析和差异分析,确定SLE中性粒细胞焦亡相关的关键基因。随后,使用三种机器学习算法来获得生物标志物。在logistic回归模型的基础上,构建加权评分公式,通过受试者工作特征(receiver operating characteristic, ROC)分析确定最佳截断值。对生物标志物进行基因集富集分析(GSEA)和定位分析。通过逆转录定量PCR (RT-qPCR)和western blotting验证这些生物标志物在SLE中的表达。通过一系列筛选,获得两种生物标志物(PYCARD和IL1B)。基于生物标志物的加权评分能更好地区分SLE患者与健康个体,诊断准确率高。这两种生物标志物被发现参与相同的途径,包括“toll样受体信号通路”、“nod样受体信号通路”和“趋化因子信号通路”。亚细胞定位分析表明,这两种生物标志物主要定位在细胞质中。RT-qPCR和western blotting结果显示,PYCARD和IL1B在SLE样本中高表达,这与我们的转录组结果一致。总之,我们填补了SLE中枢性粒细胞相关焦亡领域的知识空白。这些发现为潜在靶向中性粒细胞相关焦亡基因治疗SLE患者提供了参考。
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来源期刊
Experimental Dermatology
Experimental Dermatology 医学-皮肤病学
CiteScore
6.70
自引率
5.60%
发文量
201
审稿时长
2 months
期刊介绍: Experimental Dermatology provides a vehicle for the rapid publication of innovative and definitive reports, letters to the editor and review articles covering all aspects of experimental dermatology. Preference is given to papers of immediate importance to other investigators, either by virtue of their new methodology, experimental data or new ideas. The essential criteria for publication are clarity, experimental soundness and novelty. Letters to the editor related to published reports may also be accepted, provided that they are short and scientifically relevant to the reports mentioned, in order to provide a continuing forum for discussion. Review articles represent a state-of-the-art overview and are invited by the editors.
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