Bioinformatics-based discovery of biomarkers and immunoinflammatory infiltrates in hip fractures complicating deep vein thrombosis: A STROBE

Deep vein thrombosis due to hip fracture is a normally concomitant symptom when fracture arrival at middle-aged and olderly people, but its molecular mechanism is still not well explained. We hypothesized that there are several key biomarkers and associated signaling pathways that could predict deep vein thrombosis, our goal was to employ bioinformatics to find important biomarkers of deep vein thrombosis and the results of immune infiltration. From the GEO-NCBI database, venous thrombosis expression profiles were chosen, and hip fracture and venous thrombosis gene datasets were gathered from a comprehensive database that can be searched for human genes, which is called GeneCards. Building networks between proteins with the STRING web application, and Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO), 2 bioinformatic analytic tools, were used to conduct functional enrichment investigations. CIBERSORT was used to assess genetic data on the potential location of immune cells in venous thrombosis. Ultimately, 38 distinct genes from the first round and 10 crucial genes from the second round. GO and KEGG analyses showed that the intersecting distinct targets were enriched in routes of signaling mediated by chemokines, immune responses, and Inflammatory reactions were all involved, with the Jak-STAT and HIF-1 signaling pathways being the most significant. Immune cell infiltration analysis showed that immune inflammatory responses regulated by macrophages, and B cell, T cell all play a significant role in venous thrombosis. In conclusion, HIF-1, Jak-STAT signaling pathway, and mangy hub genes regulating inflammatory factors, and immune cells. They have a significant part in the venous thrombosis disease process.