Zhang Yanyu, Chen Ke, Wang Mingjing, Wang Ziqing, Wang Dehao, Niu Jicong, Yang Erpeng, Li Yumeng, Sun Yan, Zhao Pei, Liu Weiyi, Lv Yan, Hu Xiaomei
Department of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China; Graduate School, China Academy of Chinese Medical Sciences, Beijing, China.
Department of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Int Immunopharmacol. 2024 Jan 25;127:111366. doi: 10.1016/j.intimp.2023.111366. Epub 2023 Dec 20.
Thrombosis is a major cause of morbimortality in patients with polycythemia vera (PV). Furthermore, neutrophils play a significant role in thrombosis, but their role in the pathogenetic mechanisms of PV is not well characterized. Therefore, we investigated the role and mechanisms by which neutrophils regulate thrombosis in PV patients. Univariate and multivariate logistic regression analysis of clinicopathological factors was performed to determine the independent risk factors of thrombosis in PV. Pearson's correlation analysis was performed to determine the relationship between absolute neutrophil count (ANC) and the hypercoagulable state in PV patients. Bioinformatics analysis of the GSE54644 dataset was used to identify hemostasis-related pathways in neutrophils of PV patients. Weighted gene co-expression network analysis (WGCNA) of the integrated dataset (GSE57793, GSE26049 and GSE61629) was used to identify neutrophils-related genes and pathways associated with thrombosis in PV. Ingenuity pathway analysis (IPA) was performed to identify the differentially activated pathways in PV patients with or without thrombosis using GSE47018 dataset. Our data showed increased ANC in PV patients. Multivariate logistic regression analysis showed that ANC was an independent risk factor for the thrombotic events in PV patients before or at diagnosis. ANC correlated with the hypercoagulable state in PV patients. Neutrophil extracellular traps (NETs) pathway was significantly enriched in the neutrophils of PV patients. IPA results demonstrated that PRKCD-mediated NETs pathway was hyperactivated in PV patients with thrombosis. In summary, ANC was an independent risk factor for the thrombotic events in PV patients before or at diagnosis, and PRKCD-mediated NETs pathway was aberrantly activated in the neutrophils of PV patients and was associated with the thrombotic events.
血栓形成是真性红细胞增多症(PV)患者发病和死亡的主要原因。此外,中性粒细胞在血栓形成中起重要作用,但其在PV发病机制中的作用尚未完全明确。因此,我们研究了中性粒细胞调节PV患者血栓形成的作用及机制。对临床病理因素进行单因素和多因素逻辑回归分析,以确定PV患者血栓形成的独立危险因素。进行Pearson相关分析,以确定PV患者中性粒细胞绝对计数(ANC)与高凝状态之间的关系。利用GSE54644数据集进行生物信息学分析,以识别PV患者中性粒细胞中与止血相关的通路。对整合数据集(GSE57793、GSE26049和GSE61629)进行加权基因共表达网络分析(WGCNA),以识别与PV患者血栓形成相关的中性粒细胞相关基因和通路。利用GSE47018数据集进行Ingenuity通路分析(IPA),以识别有或无血栓形成的PV患者中差异激活的通路。我们的数据显示PV患者的ANC升高。多因素逻辑回归分析表明,ANC是PV患者诊断前或诊断时血栓形成事件的独立危险因素。ANC与PV患者的高凝状态相关。中性粒细胞胞外陷阱(NETs)通路在PV患者的中性粒细胞中显著富集。IPA结果表明,PRKCD介导的NETs通路在有血栓形成的PV患者中过度激活。总之,ANC是PV患者诊断前或诊断时血栓形成事件的独立危险因素,PRKCD介导的NETs通路在PV患者的中性粒细胞中异常激活,并与血栓形成事件相关。