Lyu Xue, Zhang Zhe, Liu Xia, Geng Li, Zhang Muhan, Feng Baisui
Department of Gastroenterology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, 450014, People's Republic of China.
J Inflamm Res. 2023 May 15;16:2063-2078. doi: 10.2147/JIR.S409290. eCollection 2023.
Infliximab (IFX) has been widely used in ulcerative colitis (UC) patients. However, the subsequent effective treatment of IFX non-response in UC patients remains a challenge. This study aims to predict potential therapeutic targets for non-responders by performing a bioinformatic analysis of the data in the Gene Expression Omnibus (GEO) database and validation by biopsies.
Colonic mucosal biopsies expression profiles of IFX-treated UC patients (GSE73661, GSE16879) were utilized to predict potential therapeutic targets. Bioinformatics analyses were used to explore potential biological mechanisms. CytoHubba was performed to screen hub genes. We used a validation dataset and colonic mucosal biopsies of UC patients to validate hub genes.
A total of 147 DEGs were identified (119 upregulated genes and 28 downregulated genes). GSEA showed that DEGs in GSE73661 were enriched in the pathways of the cytokine-cytokine receptor, the chemokine, and the adhesion molecules system. Based on the PPI network analysis, we identified four hub genes (and the transcription factor NF-κB). Then, we validate the expression of hub genes by reverse transcription-polymerase chain reaction (RT-PCR). We found higher expression of IL-6, IL1B, CXCL8, and CCL2 in non-responders compared to responders.
In summary, four potential targets (IL-6, IL1B, CXCL8, and CCL2) were finally identified by performing a bioinformatics analysis of the datasets in the GEO database. Their expression was confirmed in colonic mucosal biopsies of patients with UC. These results can help to further explore the mechanism of non-responders to IFX in UC and to provide potential targets for their subsequent treatment.
英夫利昔单抗(IFX)已广泛应用于溃疡性结肠炎(UC)患者。然而,后续有效治疗对IFX无反应的UC患者仍然是一项挑战。本研究旨在通过对基因表达综合数据库(GEO)中的数据进行生物信息学分析并通过活检进行验证,预测无反应者的潜在治疗靶点。
利用IFX治疗的UC患者的结肠黏膜活检表达谱(GSE73661、GSE16879)来预测潜在治疗靶点。采用生物信息学分析来探索潜在生物学机制。运用CytoHubba筛选枢纽基因。我们使用一个验证数据集和UC患者的结肠黏膜活检来验证枢纽基因。
共鉴定出147个差异表达基因(119个上调基因和28个下调基因)。基因集富集分析(GSEA)显示,GSE73661中的差异表达基因在细胞因子 - 细胞因子受体、趋化因子和黏附分子系统的通路中富集。基于蛋白质 - 蛋白质相互作用(PPI)网络分析,我们鉴定出四个枢纽基因(以及转录因子NF - κB)。然后,我们通过逆转录 - 聚合酶链反应(RT - PCR)验证枢纽基因的表达。我们发现,与反应者相比,无反应者中白细胞介素 - 6(IL - 6)、白细胞介素1β(IL1B)、CXC趋化因子配体8(CXCL8)和CC趋化因子配体2(CCL2)的表达更高。
总之,通过对GEO数据库中的数据集进行生物信息学分析,最终鉴定出四个潜在靶点(IL - 6、IL1B、CXCL8和CCL2)。它们的表达在UC患者的结肠黏膜活检中得到证实。这些结果有助于进一步探索UC患者对IFX无反应的机制,并为其后续治疗提供潜在靶点。