已确定的潜在生物标志物可以预测溃疡性结肠炎患者对英夫利昔单抗的原发性无反应。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
ACS Applied Electronic Materials Pub Date : 2022-12-01 Epub Date: 2022-07-23 DOI:10.1080/08916934.2022.2103803
Jixiang Zhang, Xiaohan Wu, Shuchun Wei, Chuan Liu, Xiaoli Wang, Weiguo Dong
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引用次数: 2

摘要

溃疡性结肠炎(UC)患者对英夫利昔单抗的原发性无反应是常见的。然而,目前还没有有效的生物标志物来预测这种情况。本研究旨在确定UC患者精确抗肿瘤坏死因子- α治疗的潜在预测因素。4个GPL570数据集(GSE14580、GSE12251、GSE23597和GSE16879)被纳入本研究。通过比较反应样品与非反应样品的基因表达,鉴定出69个差异表达基因(deg),其中67个基因表达上调,2个基因表达下调。基因本体分析显示,DEGs主要富集于中性粒细胞介导的免疫、中性粒细胞活化、参与免疫应答的中性粒细胞活化、中性粒细胞脱粒和白细胞迁移。《京都基因与基因组百科全书》分析表明,这些基因主要富集于细胞因子-细胞因子受体相互作用和白细胞介素-17信号通路。经蛋白-蛋白相互作用网络分析、测试集验证及临床UC样本确认,确定S100钙结合蛋白A8 (S100A8)、S100A9、髓样细胞上表达的触发受体1 (TREM1)、toll样受体2 (TLR2)、IL1B、甲酰基肽受体1 (FPR1)为枢纽基因。我们发现原发性无应答UC患者肠道组织中的免疫细胞组成包括naïve CD4+ T细胞、记忆性静息CD4+ T细胞、静息自然杀伤细胞、静息树突状细胞、活化树突状细胞、嗜酸性粒细胞和中性粒细胞。其中中性粒细胞差异最显著。此外,所有六个潜在的预测因子都与中性粒细胞计数显著相关。我们的研究确定了6种潜在的生物标志物,即S100A8、S100A9、TREM1、TLR2、IL1B和FPR1,以及一种免疫细胞,中性粒细胞,在对英夫利昔单抗有反应和原发性无反应的UC患者之间。我们推测,这六种潜在生物标志物的表达变化与中性粒细胞活性或局部数量的变化可能有助于预测UC患者对英夫利昔单抗的原发性无反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identified potential biomarkers may predict primary nonresponse to infliximab in patients with ulcerative colitis.

Primary nonresponse to infliximab in patients with ulcerative colitis (UC) is common. However, there are currently no effective biomarkers for this prediction. This study aimed to identify potential predictors for precision anti-tumor necrosis factor-alpha treatment in patients with UC. Four GPL570 datasets (GSE14580, GSE12251, GSE23597, and GSE16879) were included in this study. Sixty-nine differentially expressed genes (DEGs) were identified, while 67 were up-regulated and two were down-regulated by comparing the gene expression in response samples with the nonresponse samples. Gene Ontology analysis showed that DEGs were mostly enriched in neutrophil-mediated immunity, neutrophil activation, neutrophil activation involved in the immune response, neutrophil degranulation, and leukocyte migration. Kyoto Encyclopaedia of Genes and Genomes analysis indicated that these DEGs were mostly enriched in cytokine-cytokine receptor interactions and interleukin (IL)-17 signalling pathways. After protein-protein interaction network analysis, verification by test set, and confirmation of clinical UC samples, S100 calcium-binding protein A8 (S100A8), S100A9, triggering receptor expressed on myeloid cells 1 (TREM1), toll-like receptor 2 (TLR2), IL1B, and formyl peptide receptor 1 (FPR1) were identified as the hub genes. We found that the immune cell composition in the intestinal tissues of UC patients with primary nonresponse included naïve CD4+ T cells, memory resting CD4+ T cells, resting natural killer cells, resting dendritic cells, activating dendritic cells, eosinophils, and neutrophils. Among these, neutrophils showed the most significant differences. In addition, all six potential predictors were significantly associated with the neutrophil count. Our study identified six potential biomarkers, namely S100A8, S100A9, TREM1, TLR2, IL1B, and FPR1, and one type of immune cell, neutrophils, between UC patients with response and primary nonresponse to infliximab. We speculated that changes in the expression of these six potential biomarkers combined with changes in the activity or local quantity of neutrophils might help predict primary nonresponse to infliximab in patients with UC.

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CiteScore
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