Fu Zhijiang, Song Chao, Mei Yongliang, Zhou Daqian, Zhou Yang, Chen Jingwen, Liu Fei, Shang Qing, Liu Zongchao
Department of Orthopedics and Traumatology (Trauma and Bone-setting), The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan Province, China.
Department of Orthopedics, RuiKang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Medicine (Baltimore). 2024 Dec 27;103(52):e40809. doi: 10.1097/MD.0000000000040809.
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.
髋部骨折导致的深静脉血栓形成是中老年人群骨折时常见的伴随症状，但其分子机制仍未得到充分解释。我们假设存在几种关键生物标志物和相关信号通路可预测深静脉血栓形成，我们的目标是利用生物信息学来寻找深静脉血栓形成的重要生物标志物及免疫浸润结果。从GEO-NCBI数据库中选择静脉血栓形成表达谱，并从一个可搜索人类基因的综合数据库GeneCards中收集髋部骨折和静脉血栓形成基因数据集。使用STRING网络应用程序构建蛋白质之间的网络，并使用2种生物信息学分析工具京都基因与基因组百科全书（KEGG）和基因本体论（GO）进行功能富集研究。使用CIBERSORT评估静脉血栓形成中免疫细胞潜在定位的遗传数据。最终，第一轮筛选出38个不同基因，第二轮筛选出10个关键基因。GO和KEGG分析表明，交叉的不同靶点在趋化因子介导的信号通路、免疫反应和炎症反应中均有富集，其中Jak-STAT和HIF-1信号通路最为显著。免疫细胞浸润分析表明，巨噬细胞、B细胞和T细胞调节的免疫炎症反应在静脉血栓形成中均起重要作用。总之，HIF-1、Jak-STAT信号通路以及许多调节炎症因子和免疫细胞的枢纽基因在静脉血栓形成疾病过程中发挥着重要作用。
