急性静脉血栓栓塞血浆和红细胞代谢组学分析揭示潜在的新的早期诊断生物标志物:观察性临床研究

Claudia Febra, Joana Saraiva, Fátima Vaz, Joao Macedo, Hamza Mohammad Al-Hroub, Mohammad H Semreen, Rui Maio, Vitor Gil, Nelson Soares, Deborah Penque
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摘要

背景:静脉血栓栓塞(VTE)是导致心血管疾病死亡的主要原因。由于缺乏生物标志物,急性静脉血栓栓塞的诊断仍然基于复杂的影像学检查。此外,评估新型代谢组学生物标志物在静脉血栓栓塞中的诊断能力的研究很少。我们的目的是确定急性静脉血栓栓塞患者的血浆和红细胞代谢组学特征是否存在差异。方法:本观察性试验纳入62例临床疑似急性深静脉血栓形成(DVT)或肺栓塞(PE)的急诊室(ER)患者。在金标准影像学检查后,我们分析了50例急性静脉血栓栓塞患者和12例非急性静脉血栓栓塞患者的血浆和红细胞。我们进行了一项代谢组学研究,并使用混合效应模型来比较代谢物的差异。结果:血浆代谢组在区分急性静脉血栓栓塞存在与否方面的能力不佳,有23个显著不同的分子,但在最佳ROC曲线上表现“良好”。d -谷氨酰胺和d -谷氨酸的代谢途径对急性VTE表型的影响最大(p = 0.001,假发现率= 0.06)。红细胞显示一致的代谢组学特征急性静脉血栓栓塞。在23个差异丰度代谢物中,我们发现3′,5′-二磷酸腺苷(0.983)、谷胱甘肽(0.923)、腺嘌呤(0.91)3条曲线下面积(AUC)大于0.9的高性能ROC曲线。影响差异最大的代谢组是嘌呤代谢(p = 0.000354,错误发现率= 0.68)。结论:我们的研究结果表明,急性静脉血栓栓塞患者和非急性静脉血栓栓塞患者在早期入住急诊室时存在代谢物差异。从红细胞中获得的三种潜在生物标志物在急性静脉血栓栓塞诊断中表现出很高的性能。进一步的研究应该探索可获得的实验室方法,以便在未来的日常实践中,这些代谢物对急诊急性静脉血栓栓塞的早期诊断有用。
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Acute Venous Thromboembolism Plasma and Red Blood Cell Metabolomic Profiling Reveals Potential New Early Diagnostic Biomarkers: observational clinical study
Abstract Background:Venous thromboembolism(VTE) is a leading cause of cardiovascular mortality. The diagnosis of acute VTE is still based on complex imaging exams due to the lack of biomarkers. Moreover, studies assessing the diagnostic capacity of novel metabolomics biomarkers in VTE are scarce. Our aim was to determine whether patients with acute VTE have differences in the metabolomic profile from plasma and red blood cells (RBCs). Methods: This observational trial included 62 patients with clinical suspicion of acute deep vein thrombosis (DVT) or pulmonary embolism (PE) admitted to the emergency room (ER). After gold standard imaging exams, we analysed the plasma and RBCs from 50 acute VTE and 12 nonacute VTE patients. We performed a metabolomics study and used mixed-effects modelling to compare the differences in metabolites. Results:The plasma metabolome had a suboptimal capability for differentiating between the presence or absence of acute VTE, with 23 significantly different molecules, but with ‘good’ performance for the best ROC curves. The metabolic pathway of D-glutamine and D-glutamate had the strongest impact on the acute VTE phenotype ( p = 0.001, false discovery rate = 0.06). RBCs revealed a consistent metabolomic signature of acute VTE. Among the 23 differentially abundant metabolites, we found 3 high-performance ROC curves with an area under the curve (AUC) higher than 0.9, including adenosine 3',5'-diphosphate (0.983), glutathione (0.923), and adenine (0.91). The metabolic set most impacting the differences observed was purine metabolism ( p = 0.000354, false discovery rate = 0.68). Conclusions:Our findings show that metabolite differences exist between acute VTE and nonacute VTE patients admitted to the ER in the early phases. Three potential biomarkers obtained from RBCs showed high performance for acute VTE diagnosis. Further studies should investigate accessible laboratory methods for the future daily practice usefulness of these metabolites for the early diagnosis of acute VTE in the ER.
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