AI Article Synopsis

  • Researchers studied how the immune system reacts to infections around joint replacements (PJI) to find important signals that could help understand these infections better.
  • They used a special database to look at genes and immune cells involved, discovering changes in 667 genes and identifying three important gene markers.
  • The study found that some immune cells were more active in patients with PJI, which helped show how these genes might be linked to the body's immune response during infections.

Article Abstract

Background: The immune response associated with periprosthetic joint infection (PJI) is an emerging but relatively unexplored topic. The aim of this study was to investigate immune cell infiltration in periprosthetic tissues and identify potential immune-related biomarkers.

Methods: The GSE7103 dataset from the GEO database was selected as the data source. Differentially expressed genes (DEGs) and significant modular genes in weighted correlation network analysis (WGCNA) were identified. Functional enrichment analysis and transcription factor prediction were performed on the overlapping genes. Next, immune-related genes from the ImmPort database were matched. The protein-protein interaction (PPI) analysis was performed to identify hub genes. CIBERSORTx was used to evaluate the immune cell infiltration pattern. Spearman correlation analysis was used to evaluate the relationship between hub genes and immune cells.

Results: A total of 667 DEGs were identified between PJI and control samples, and 1847 PJI-related module genes were obtained in WGCNA. Enrichment analysis revealed that the common genes were mainly enriched in immune and host defense-related terms. TFEC, SPI1, and TWIST2 were the top three transcription factors. Three hub genes, , , and , were identified in the immune-related PPI network. Higher levels of plasma cells, CD4 memory resting T cells, follicular helper T cells, resting mast cells, and neutrophils were found in the PJI group, while levels of M0 macrophages were lower. Notably, the expression of all three hub genes correlated with the infiltration levels of seven types of immune cells.

Conclusion: The present study revealed immune infiltration signatures in the periprosthetic tissues of PJI patients. , , and were potential immune-related biomarkers for PJI.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10867348PMC
http://dx.doi.org/10.1016/j.heliyon.2024.e26062DOI Listing

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