Eva R. Smit , Iris C. Kreft , Eleonora Camilleri , J. Louise I. Burggraaf-van Delft , Nienke van Rein , Bart J.M. van Vlijmen , Anne-Marije Hulshof , Bas C.T. van Bussel , Frank van Rosmalen , Carmen van der Zwaan , Tom van de Berg , Yvonne Henskens , Hugo ten Cate , Jonathan M. Coutinho , Marieke J.H.A. Kruip , Jeroen J.C. Eikenboom , Arie J. Hoogendijk , Suzanne C. Cannegieter , Maartje van den Biggelaar , Mihaela Zlei
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引用次数: 0
Abstract
Background
The elevated health burden of thromboembolic events necessitates development of blood-based risk monitoring tools.
Objectives
We explored the potential of mass spectrometry–based plasma proteomics to provide insights into underlying plasma protein signatures associated with treatment and occurrence of thromboembolic events.
Methods
Utilizing a high-throughput, data-independent acquisition, discovery-based proteomics workflow, we analyzed 434 plasma proteomes from different groups of individuals with elevated risk of thromboembolic events, including individuals I) on vitamin K antagonists (VKAs; n = 130), II) with a prior venous thromboembolism (n = 10), III) with acute cerebral venous sinus thrombosis (n = 10, and IV) with SARS-CoV-2 infection (n = 67). Plasma protein levels measured with mass spectrometry were correlated with international normalized ratio and conventional clinical laboratory measurements. Plasma profile differences between different groups were assessed using principal component analysis, moderated t-test, and clustering analysis.
Results
Plasma protein levels were in agreement with conventional clinical laboratory parameters, including albumin and fibrinogen. Levels of vitamin K–dependent proteins inversely correlated with international normalized ratio. In the individual studies, we found decreased levels of vitamin K–dependent coagulation proteins in patients on VKAs, alterations in inflammatory signatures among CVST patients and a distinctive signature indicative of SARS-CoV-2 infection. However, no protein signature associated with a thromboembolic event could be identified neither in individual nor combined studies.
Conclusion
Although VKA treatment–specific and disease-specific signatures were captured, our study highlights that the challenges of discovering biomarkers in patients at risk of thromboembolic events lie in the heterogeneity of individual plasma profiles in relation to treatment and etiology.