Journal of Inflammation Research (Jan 2024)

Immune-Related Genes and Immune Cell Infiltration Characterize the Maturation Status of Arteriovenous Fistulas: An Integrative Bioinformatics Study and Experimental Validation Based on Transcriptome Sequencing

  • Lu P,
  • Wang T,
  • Wan Z,
  • Wang M,
  • Zhou Y,
  • He Z,
  • Liao S,
  • Liu H,
  • Shu C

Journal volume & issue
Vol. Volume 17
pp. 137 – 152

Abstract

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Peng Lu,1,2,* Tun Wang,1,2,* Zicheng Wan,1,2 Mo Wang,1,2 Yang Zhou,1,2 Zhenyu He,1,2 Sheng Liao,1,2 Haiyang Liu,3 Chang Shu1,2,4 1Department of Vascular Surgery, the Second Xiangya Hospital, Central South University, Changsha, People’s Republic of China; 2Institute of Vascular Diseases, Central South University, Changsha, People’s Republic of China; 3Department of Geriatrics, the Second Xiangya Hospital, Central South University, Changsha, People’s Republic of China; 4Center of Vascular Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, People’s Republic of China*These authors contributed equally to this workCorrespondence: Chang Shu, Department of Vascular Surgery, the Second Xiangya Hospital, Central South University, Changsha, People’s Republic of China, Tel +86 136 0744 4222, Email [email protected]: Arteriovenous fistula (AVF) is the preferred vascular access for hemodialysis, but the low maturation rate is concerning. Immune cells’ impact on AVF maturation lacks bioinformatics research. The study aims to investigate the potential predictive role of immune-related genes and immune cell infiltration characteristics in AVF maturation.Patients and Methods: We analyzed the high-throughput sequencing dataset to identify differentially expressed genes (DEGs). Then, we performed enrichment analyses (GO, KEGG, GSEA) on immune-related genes and pathways in mature AVF. We focused on differentially expressed immune-related genes (DEIRGs) and constructed a PPI network to identify hub genes. These hub genes were validated in other databases and experiments, including qPCR and immunohistochemistry (IHC). The immune cell infiltration characteristics in native veins, failed AVFs, and matured AVFs were analyzed by cibersortX. Partial experimental validation was conducted using clinical samples.Results: Our results showed that immune-related genes and signaling pathways are significantly enriched in mature AVF. We validated this in other databases and ultimately identified three hub genes (IL1B, IL6, CXCR4) in combination with experiments. Significant differences in immune cell infiltration characteristics were observed among native veins, failed AVFs, and matured AVFs. Immune cell infiltration analysis revealed that accumulation of CD4+ T cells, dendritic cells, mast cells and M2 macrophages contribute to AVF maturation. These immune-related genes and immune cells have the potential to serve as predictive factors for AVF maturation. We partially validated this experimentally.Conclusion: From a bioinformatics perspective, our results have identified, for the first time, a set of immune-related genes and immune cell infiltration features that can characterize the maturation of AVF and significantly impact AVF maturation. These features hold potential as predictive indicators for AVF maturation outcomes.Keywords: AVF maturation, bioinformatics, immune-related genes, inflammation

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