Tao Yuan, Hua Guo, Min Sun, Xiao-Hong Lu, Jia-Hui Jiang, Biao Tang, Cai-Feng He, Cheng Zhang, Chao Ci, Jian-Ping Wu
Department of Dermatology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
Department of Dermatology, The Affiliated Huishan Hospital of Xinglin College, Nantong University, Wuxi Huishan District People's Hospital, Wuxi, China.
Ann Med. 2025 Dec;57(1):2500696. doi: 10.1080/07853890.2025.2500696. Epub 2025 May 5.
This study aimed to investigate biological markers in subacute cutaneous lupus erythematosus (SCLE).
The tandem mass tag (TMT)-labelling proteomics method was used to explore differentially expressed proteins between SCLE lesions and normal skin tissues. The differences in transcriptomic data between SCLE tissues and normal skin tissues were analysed from the GEO database (GSE81071, GSE109248 and GSE112943). The differences in transcriptomic data from peripheral blood mononuclear cells (PBMCs) of patients with systemic lupus erythematosus (SLE) and normal controls were analysed (GSE81622 and GSE154851). The 35 healthy controls, 30 SCLE patients, 35 SLE patients and 30 lupus nephritis (LN) patients were diagnosed and enrolled. The serum expression levels of IFI44 and EPSTI1 were detected. Data were presented as the mean ± standard deviation or frequency and were analysed using Student's -test, Chi-square test and one-way ANOVA between the groups. Receiver operating characteristic (ROC) curves were used to analyse the clinical efficacy of IFI44 and EPSTI1 in distinguishing SCLE from SLE.
In a comparative analysis of SCLE lesions and normal skin tissues, proteomics studies identified 376 proteins that exhibited significant differential expression. In GO and KEGG analyses, the enriched terms mainly included the interferon-gamma-mediated signalling pathway ( < .001), immune receptor activity ( < .001) and cell adhesion molecules ( < .001). The top 10 hub genes were screened in SCLE as follows: CD8A, CXCL10, IFI44, CD7, CCL5, TLR4, EPSTI1, ISG15, KLRD1 and SELL using Cytoscape (3.10.1) software. The 15 common proteins/genes between proteomics and three datasets results were found, including CXCL10, OAS1, DDX60L, CFB, IFI6, HERC6, IFI44L, GBP1, EPSTI1, OAS2, CXCL11, TYMP, IFI44, ISG15 and IFIT3. The 61 differentially expressed genes in GSE81622 and the top 100 differentially expressed genes in GSE154851, alongside the 15 identified genes described above through Venn diagram analysis. Four common genes, IFI44L, IFI44, EPSTI1 and OAS1, were identified. Two common genes, IFI44 and EPSTI1, were found in hub genes from the proteomics results. The serum levels of IFI44 and EPSTI1 in LN were significantly higher than those in SLE patients ( < .05). ROC curve analysis demonstrated that serum levels of IFI44 and EPSTI1 could differentiate SCLE from SLE with an area under the curve (AUC) of 0.898 and 0.847, respectively.
The IFI44 and EPSTI1 proved to be closely involved in the progression from SCLE to SLE, and can represent new candidate diagnostic molecular markers of occurrence and progression of SCLE.
本研究旨在探讨亚急性皮肤型红斑狼疮(SCLE)中的生物标志物。
采用串联质谱标签(TMT)标记蛋白质组学方法,探索SCLE皮损与正常皮肤组织之间差异表达的蛋白质。从基因表达综合数据库(GEO数据库,GSE81071、GSE109248和GSE112943)分析SCLE组织与正常皮肤组织转录组数据的差异。分析系统性红斑狼疮(SLE)患者与正常对照外周血单个核细胞(PBMCs)转录组数据的差异(GSE81622和GSE154851)。诊断并纳入35名健康对照、30名SCLE患者、35名SLE患者和30名狼疮性肾炎(LN)患者。检测IFI44和EPSTI1的血清表达水平。数据以平均值±标准差或频数表示,组间分析采用Student's t检验、卡方检验和单因素方差分析。采用受试者工作特征(ROC)曲线分析IFI44和EPSTI1区分SCLE与SLE的临床效能。
在SCLE皮损与正常皮肤组织的对比分析中,蛋白质组学研究鉴定出376种表现出显著差异表达的蛋白质。在基因本体(GO)和京都基因与基因组百科全书(KEGG)分析中,富集的条目主要包括γ干扰素介导的信号通路(P<0.001)、免疫受体活性(P<0.001)和细胞黏附分子(P<0.001)。使用Cytoscape(3.10.1)软件在SCLE中筛选出前10个枢纽基因如下:CD8A、CXCL10、IFI44、CD7、CCL5、TLR4、EPSTI1、ISG15、KLRD1和SELL。发现蛋白质组学与三个数据集结果之间有15种共同的蛋白质/基因,包括CXCL10、OAS1、DDX60L、CFB、IFI6、HERC6、IFI44L、GBP1、EPSTI1、OAS2、CXCL11、TYMP、IFI44、ISG15和IFIT3。通过维恩图分析GSE81622中的61个差异表达基因和GSE154851中的前100个差异表达基因,以及上述鉴定出的15个基因。鉴定出4个共同基因,IFI44L、IFI44、EPSTI1和OAS1。在蛋白质组学结果的枢纽基因中发现2个共同基因,IFI44和EPSTI1。LN患者血清中IFI44和EPSTI1水平显著高于SLE患者(P<0.05)。ROC曲线分析表明,IFI44和EPSTI1血清水平可区分SCLE与SLE,曲线下面积(AUC)分别为0.898和0.847。
IFI44和EPSTI1被证明与SCLE向SLE的进展密切相关,可作为SCLE发生和进展的新的候选诊断分子标志物。