CCR7 and CD48 as Predicted Targets in Acute Rejection Related to M1 Macrophage after Pediatric Kidney Transplantation.

IF 3.5 3区 医学 Q2 IMMUNOLOGY Journal of Immunology Research Pub Date : 2024-06-24 eCollection Date: 2024-01-01 DOI:10.1155/2024/6908968
Jie Zhang, Jun Pei, Chengjun Yu, Jin Luo, Yifan Hong, Yi Hua, Guanghui Wei
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Abstract

Background: Kidney transplantation (KT) is the best treatment for end-stage renal disease. Although long and short-term survival rates for the graft have improved significantly with the development of immunosuppressants, acute rejection (AR) remains a major risk factor attacking the graft and patients. The innate immune response plays an important role in rejection. Therefore, our objective is to determine the biomarkers of congenital immunity associated with AR after KT and provide support for future research.

Materials and methods: A differential expression genes (DEGs) analysis was performed based on the dataset GSE174020 from the NCBI gene Expression Synthesis Database (GEO) and then combined with the GSE5099 M1 macrophage-related gene identified in the Molecular Signatures Database. We then identified genes in DEGs associated with M1 macrophages defined as DEM1Gs and performed gene ontology (GO) and Kyoto Encyclopedia of Genomes (KEGG) enrichment analysis. Cibersort was used to analyze the immune cell infiltration during AR. At the same time, we used the protein-protein interaction (PPI) network and Cytoscape software to determine the key genes. Dataset, GSE14328 derived from pediatric patients, GSE138043 and GSE9493 derived from adult patients, were used to verify Hub genes. Additional verification was the rat KT model, which was used to perform HE staining, immunohistochemical staining, and Western Blot. Hub genes were searched in the HPA database to confirm their expression. Finally, we construct the interaction network of transcription factor (TF)-Hub genes and miRNA-Hub genes.

Results: Compared to the normal group, 366 genes were upregulated, and 423 genes were downregulated in the AR group. Then, 106 genes related to M1 macrophages were found among these genes. GO and KEGG enrichment analysis showed that these genes are mainly involved in cytokine binding, antigen binding, NK cell-mediated cytotoxicity, activation of immune receptors and immune response, and activation of the inflammatory NF-κB signaling pathway. Two Hub genes, namely CCR7 and CD48, were identified by PPI and Cytoscape analysis. They have been verified in external validation sets, originated from both pediatric patients and adult patients, and animal experiments. In the HPA database, CCR7 and CD48 are mainly expressed in T cells, B cells, macrophages, and tissues where these immune cells are distributed. In addition to immunoinfiltration, CD4+T, CD8+T, NK cells, NKT cells, and monocytes increased significantly in the AR group, which was highly consistent with the results of Hub gene screening. Finally, we predicted that 19 TFs and 32 miRNAs might interact with the Hub gene.

Conclusions: Through a comprehensive bioinformatic analysis, our findings may provide predictive and therapeutic targets for AR after KT.

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CCR7和CD48是小儿肾移植后与M1巨噬细胞相关的急性排斥反应的预测靶点
背景:肾移植(KT)是治疗终末期肾病的最佳方法。虽然随着免疫抑制剂的发展,移植物的长期和短期存活率都有了显著提高,但急性排斥反应(AR)仍然是侵袭移植物和患者的主要风险因素。先天性免疫反应在排斥反应中起着重要作用。因此,我们的目标是确定与 KT 后 AR 相关的先天性免疫生物标志物,为未来的研究提供支持:根据 NCBI 基因表达合成数据库(GEO)中的数据集 GSE174020 进行差异表达基因(DEGs)分析,然后结合分子特征数据库(Molecular Signatures Database)中确定的 GSE5099 M1 巨噬细胞相关基因。然后,我们确定了被定义为DEM1Gs的与M1巨噬细胞相关的DEGs中的基因,并进行了基因本体(GO)和京都基因组百科全书(KEGG)富集分析。Cibersort 用于分析 AR 期间的免疫细胞浸润。同时,我们还利用蛋白质-蛋白质相互作用(PPI)网络和 Cytoscape 软件确定了关键基因。数据集 GSE14328 来自儿童患者,GSE138043 和 GSE9493 来自成人患者,用于验证枢纽基因。此外,还利用大鼠 KT 模型进行了 HE 染色、免疫组化染色和 Western Blot 验证。在 HPA 数据库中搜索 Hub 基因以确认其表达。最后,我们构建了转录因子(TF)-枢纽基因和miRNA-枢纽基因的相互作用网络:结果:与正常组相比,AR 组有 366 个基因上调,423 个基因下调。在这些基因中,发现了 106 个与 M1 巨噬细胞相关的基因。GO和KEGG富集分析表明,这些基因主要参与细胞因子结合、抗原结合、NK细胞介导的细胞毒性、免疫受体的激活和免疫反应,以及炎症NF-κB信号通路的激活。通过 PPI 和 Cytoscape 分析,确定了两个枢纽基因,即 CCR7 和 CD48。它们已在外部验证集(源自儿科患者和成人患者)和动物实验中得到验证。在 HPA 数据库中,CCR7 和 CD48 主要在 T 细胞、B 细胞、巨噬细胞以及这些免疫细胞分布的组织中表达。除了免疫浸润外,AR 组的 CD4+T、CD8+T、NK 细胞、NKT 细胞和单核细胞也显著增加,这与 Hub 基因筛选的结果高度一致。最后,我们预测有19个TFs和32个miRNAs可能与Hub基因相互作用:通过全面的生物信息学分析,我们的研究结果可能会为 KT 后 AR 的预测和治疗提供靶点。
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来源期刊
CiteScore
6.90
自引率
2.40%
发文量
423
审稿时长
15 weeks
期刊介绍: Journal of Immunology Research is a peer-reviewed, Open Access journal that provides a platform for scientists and clinicians working in different areas of immunology and therapy. The journal publishes research articles, review articles, as well as clinical studies related to classical immunology, molecular immunology, clinical immunology, cancer immunology, transplantation immunology, immune pathology, immunodeficiency, autoimmune diseases, immune disorders, and immunotherapy.
期刊最新文献
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