Next Article in Journal
SUMOylation-Mediated Response to Mitochondrial Stress
Next Article in Special Issue
Recombinant Tissue Plasminogen Activator (r-tPA) Induces In-Vitro Human Neutrophil Migration via Low Density Lipoprotein Receptor-Related Protein 1 (LRP-1)
Previous Article in Journal
Plasticity of the 340-Loop in Influenza Neuraminidase Offers New Insight for Antiviral Drug Development
Previous Article in Special Issue
Neutrophils Modulate Fibroblast Function and Promote Healing and Scar Formation after Murine Myocardial Infarction †
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJMS
Volume 21
Issue 16
10.3390/ijms21165651
ijms-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Increase of Neutrophil Activation Markers in Venous Thrombosis—Contribution of Circulating Activated Protein C

by
Laura Martos
1,†,
Julia Oto
1,†,
Álvaro Fernández-Pardo
1,
Emma Plana
1,2,
María José Solmoirago
1,
Fernando Cana
1,
David Hervás
3,
Santiago Bonanad
1,4,
Fernando Ferrando
1,4,
Francisco España
1,
Silvia Navarro
1,* and
Pilar Medina
1,*
1
Haemostasis, Thrombosis, Arteriosclerosis and Vascular Biology Research Group, Medical Research Institute Hospital La Fe (IIS La Fe), 46026 Valencia, Spain
2
Angiology and Vascular Surgery Service, La Fe University and Polytechnic Hospital, 46026 Valencia, Spain
3
Data Science, Biostatistics and Bioinformatics Unit, Medical Research Institute Hospital La Fe (IIS La Fe), 46026 Valencia, Spain
4
Thrombosis and Haemostasis Unit, Haematology Service, La Fe University and Polytechnic Hospital, 46026 Valencia, Spain
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Int. J. Mol. Sci. 2020, 21(16), 5651; https://doi.org/10.3390/ijms21165651
Submission received: 11 June 2020 / Revised: 9 July 2020 / Accepted: 5 August 2020 / Published: 6 August 2020
(This article belongs to the Special Issue Neutrophils in Cardiovascular Diseases)
Browse Figures
Versions Notes

Abstract

:
Upon activation, neutrophils release their content through different mechanisms like degranulation and NETosis, thus prompting thrombosis. The natural anticoagulant activated protein C (APC) inhibits neutrophil NETosis and, consequently, this may lower the levels of neutrophil activation markers in plasma, further diminishing the thrombotic risk exerted by this anticoagulant. We aimed to describe the status of markers of neutrophil activation in plasma of patients with venous thrombosis, their association with the thrombotic risk and the potential contribution of APC. We quantified three markers of neutrophil activation (cell-free DNA, calprotectin, and myeloperoxidase) in 253 patients with venous thromboembolism (VTE) in a stable phase (192 lower extremity VTE and 61 splanchnic vein thrombosis) and in 249 healthy controls. In them, we also quantified plasma APC, soluble endothelial protein C receptor (EPCR), and soluble thrombomodulin (TM), and we genotyped two genetic regulators of APC: the EPCR gene (PROCR) haplotypes (H) and the TM gene (THBD) c.1418C>T polymorphism. We found a significant increase in plasma cell-free DNA (p < 0.0001), calprotectin (p = 0.0001) and myeloperoxidase (p = 0.005) in VTE patients compared to controls. Furthermore, all three neutrophil activation markers were associated with an increase in the thrombotic risk. Cell-free DNA and calprotectin plasma levels were significantly correlated (Spearman r = 0.28; p < 0.0001). As expected, the natural anticoagulant APC was significantly decreased in VTE patients (p < 0.0001) compared to controls, what was mediated by its genetic regulators PROCR-H1, PROCR-H3, and THBD-c.1418T, and inversely correlated with cell-free DNA levels. This is the largest case-control study that demonstrates the increase in markers of neutrophil activation in vivo in VTE patients and their association with an increased thrombotic risk. This increase could be mediated by low APC levels and its genetic regulators, which could also increase NETosis, further enhancing thrombosis and inflammation.

1. Introduction

Blood coagulation is a process that starts quickly after vascular damage in order to repair damaged tissue and maintain blood homeostasis. However, the recent term immunothrombosis [1] has revealed the joint action of the coagulation proteins and the immune cells in the formation of a venous thrombus, although it has only been clarified in vitro. A murine model of deep vein thrombosis (DVT) induced by flow restriction (stenosis) in the inferior vena cava showed the formation of a large clot in which neutrophils constitute the predominant leukocyte subset. Furthermore, neutrophil depletion resulted in a profound inhibition of DVT development [2]. Additionally, neutrophils play an essential role in thrombus resolution, especially in early stages [3]. Upon activation by different stimulus, neutrophils contribute to venous thrombosis by degranulating and releasing neutrophil extracellular traps (NETs) in a process called NETosis [4]. In NETs, released DNA is associated with citrullinated histone 3 along with enzymes such as myeloperoxidase (MPO), calprotectin, and elastase contained within neutrophils [5]. NETs provide a scaffold that stimulates platelet adhesion and aggregation, as well as the formation and deposition of fibrin [6]. In addition, the polyanionic surface of NETs activates the contact phase proteins such as FXII [7], and can also bind and induce the expression of tissue factor to initiate the intrinsic and extrinsic pathways of coagulation, respectively [1,8]. Furthermore, NETs not only activate coagulation but also inhibit the natural anticoagulants. NET-associated elastase and MPO are capable of degrading the tissue factor pathway inhibitor and thrombomodulin (TM) [9,10], thus limiting their anticoagulant function. In addition, histones contained in NETs inhibit the anticoagulant function of activated protein C (APC), by interacting with TM and protein C and inhibiting its activation, further increasing thrombin generation and, with it, the thrombotic risk [11,12]. Besides its anticoagulant role, APC also displays anti-inflammatory and cytoprotective functions [13], which may also be diminished in the presence of NETs, further enhancing the inflammatory scenario.
Moreover, a low level of circulating APC is an independent risk factor for venous thromboembolism (VTE) [14] and early myocardial infarction [15]. APC levels are genetically determined [16] and, in fact, we have previously demonstrated that mutations in the proteins that comprise the quaternary complex needed for protein C activation (thrombin and its receptor TM, and protein C and the endothelial protein C receptor, EPCR) modulate the risk of thrombosis [17,18]. Recent evidence has revealed that APC binds human leukocytes and inhibits NETosis [19]. Therefore, increased NETosis might occur in clinical situations with low APC levels such as VTE [14]. However, the potential regulation on the risk of thrombosis through NETosis exerted by APC in vivo has not been profoundly addressed.
Previous studies carried out to clarify the role of NETs in thrombosis have been mainly conducted in animal models [2,4,6,20,21]. However, there is already incipient evidence about the relationship between NETs and the risk of thrombosis in patients with various prothrombotic and inflammatory disorders [22,23,24,25,26,27,28,29,30,31,32,33,34]. In the particular scenario of VTE, in a case-control study with a very small number of samples, Díaz et al. [26] observed a significant increase in plasma cell-free DNA (cfDNA) concentration in patients with acute DVT. Likewise, Arnalich et al. [30] revealed that patients with acute massive pulmonary embolism (PE) have higher cfDNA levels than patients with sub-massive PE. Additionally, van Montfoort et al. [25] observed that the increase in plasma levels of nucleosomes and elastase-α1-antitrypsin complexes, markers of neutrophil activation, in the acute phase of DVT is associated with a 3-times higher risk of suffering an event. However, the association of the main markers of neutrophil activation and the thrombotic risk was not evaluated.
This is the largest case-control study that demonstrates the increase in markers of neutrophil activation in vivo in VTE patients and where an increase in the thrombotic risk was demonstrated. In addition, these patients have lower APC plasma levels which in turn increase thrombotic risk and may promote NETosis in VTE patients.

2. Results

2.1. Clinical Characteristics of the Study Subjects

A total of 253 Caucasian VTE patients were enrolled (153 men and 100 women). The clinical characteristics of the study subjects are depicted in Table 1. Of them, 192 patients had lower extremity VTE (106 men and 86 women) and 61 had SVT (47 men and 14 women).
SVT patients were older (median 58 years) than lower extremity VTE patients (45 years) and controls (41 years), and all patients together were older (47 years) than controls (p < 0.001 in all cases, Table S1). Additionally, the median age at the first thrombotic event was 42 years in lower extremity VTE patients and 53 years in SVT patients. These disparities in age between both VTE subgroups, together with the interest in exploring the role of neutrophil activation markers in different thrombotic scenarios, led us to analyze lower extremity VTE and SVT independently. A higher proportion of men was present in the SVT group (77%) compared to lower extremity VTE (55%) (p < 0.05) and to controls (47%) (p < 0.001, Table S1).
Forty-eight lower extremity VTE patients (25%) had spontaneous thrombosis, which is defined as thrombosis in the absence of known triggering factors (use of oral contraceptives, pregnancy, puerperium, surgery, trauma, or immobilization), whereas only 3 SVT patients (5%) had spontaneous thrombosis (p < 0.001, Table S1). Regarding blood cell counts, we found lower levels of leukocytes, neutrophils, lymphocytes, and platelets in SVT patients than in lower extremity VTE or controls (p < 0.001 in all comparisons, Table S1). We also observed lower levels of lymphocytes (p < 0.01) and platelets (p < 0.05) in lower extremity VTE patients than in controls. Interestingly, no differences in neutrophil counts were observed between lower extremity VTE and controls. We also evaluated the neutrophil-to-lymphocyte ratio (NLR) among the clinical groups studied, defined as the absolute neutrophil count divided by the absolute lymphocyte count. We found a higher NLR in SVT patients than in lower extremity VTE (p < 0.01) and controls (p < 0.001). When all patients together were compared to controls, we found lower levels of leukocytes (p < 0.001), neutrophils (p < 0.01), lymphocytes (p < 0.001), platelets (p < 0.001), and higher levels of basophils (p < 0.05) and NLR (p < 0.01) in patients than in controls.
The prevalence of classical prothrombotic polymorphisms, such as factor V Leiden and prothrombin g.20120G>A, was similar to that described in other series (Table 1). A higher proportion of FVL was observed in lower extremity VTE patients (13.5%) and in all patients together (10%) than in controls (2%) (p < 0.001 and p < 0.01, respectively). A higher proportion of lower extremity VTE patients had recurrent thrombosis (29.7%) whereas only 9.8% of SVT patients experienced recurrences (p < 0.01). However, the rate of familial thrombosis was similar between both groups (Table S1). Statistical differences in the complete set of clinical variables registered among the study groups are depicted in Table S1.

2.2. Levels of Neutrophil Activation Markers in Patients and Healthy Controls

Differences in the levels of each neutrophil activation marker between VTE patients and controls were analyzed with a linear regression model. We observed a very significant increase in cfDNA levels in lower extremity VTE patients (median; 25th–75th percentile, 1657.6; 1443.6–1914.1) (p < 0.0001) and SVT patients (1586.4; 1348.9–1782.9) (p < 0.0001) compared to controls (1320.9; 1185.7–1465.6) (Figure 1A). Similarly, a very significant increase in calprotectin levels was observed in lower extremity VTE patients (112.1; 75.1–152.6) compared to healthy controls (83.0; 55.0–120.0) (p = 0.0001) (Figure 1B). Finally, an increase in MPO levels was also observed in lower extremity VTE patients (1728.5; 947.0–2855.0) (p = 0.005) and in SVT patients (1882.5; 1235.0–2970.0) (p = 0.0012) compared to controls (1250.0; 712.5–2102.0) (Figure 1C).
To evaluate whether the cause of the thrombosis had an influence on the levels of the neutrophil activation markers, we compared their levels between patients with provoked vs. unprovoked DVT. No differences were observed in any of the neutrophil markers studied (Table S2). No differences were observed in neutrophil activation markers according to VTE recurrences (Table S3).
A significant correlation was observed between levels of cfDNA and calprotectin (Spearman r = 0.28; p < 0.0001) and also between neutrophil count and calprotectin (Spearman r = 0.18; p = 0.003) which, to some extent, suggests that both markers might have the same cellular origin. No correlation was observed between any of the neutrophil activation markers studied and age (data not shown).

2.3. Neutrophil Activation Markers and Risk of Thrombosis

In order to assess the variation of the thrombotic risk according to the concentration of each neutrophil activation marker studied, three multivariable logistic regressions including age, sex, FVL, and PT g.20210G>A as covariates were adjusted. Markers were included in the models after a logarithmic transformation. Adjusted OR for log(cfDNA) was 87.79, with a 95% CI [32.77, 239.69] (Table S4); adjusted OR for log(MPO) was 1.61, with a 95% CI [1.20, 2.18] (Table S5); and adjusted OR for log(calprotectin) was 1.74 with a 95% CI [1.23, 2.49] (Table S6). Additionally, we performed a multivariable logistic regression model including all three markers of neutrophil activation and age, sex, FVL, and PT g.20210G>A as covariates. Adjusted OR for log(cfDNA) was 43.16 (95% CI [13.86, 139.53]) and the adjusted OR for log(MPO) was 1.46 (95% CI [1.03, 2.09]), while calprotectin did not increase the risk of thrombosis in the presence of the other two neutrophil activation markers (Table S7). This effect might be caused by the correlation between plasma cfDNA and calprotectin.
As depicted in Figure 2A, at low levels of cfDNA the risk of thrombosis was very low, increasing very sharply until reaching a risk near 1 with a plasma cfDNA concentration ≥2500 ng/mL. Regarding calprotectin (Figure 2B) and MPO (Figure 2C), the risk of thrombosis increased following a logarithmic curve, with a higher slope at low values. Furthermore, since slightly higher levels of neutrophils were found in plasma of healthy controls compared to that of patients’ and these may modify the levels of neutrophil activation markers, we repeated the multivariable logistic regressions adjusting by the aforementioned variables and neutrophil counts, and no differences in the ORs were observed (data not shown).

2.4. Activated Protein C Plasma Levels and Its Genetic Regulation

Given that one possible mechanism of an increase in NETosis and therefore in plasma neutrophil activation markers is a decrease in APC levels [19], we also quantified the levels of circulating APC in plasma of 98 lower extremity VTE patients and 153 controls from whom the appropriate plasma samples were available. In line with our previous studies [14], circulating APC levels were lower in VTE patients (median; 25th−75th Percentile, 1.05; 0.83–1.23) than in healthy controls (1.25; 1.08–1.60) (p < 0.0001) (Table 2). There [14], we described that APC levels <0.69 ng/mL (5th percentile of the control group) increase the risk of VTE by 4.2-fold. Interestingly, in the present study we found 17 VTE patients (17.3%) with APC levels <0.69 ng/mL, whereas we only found 2 controls (1.3%) with APC levels <0.69 ng/mL. A nearly significant inverse correlation was observed between circulating APC and cfDNA levels in controls (p = 0.054), the neutrophil activation marker associated with the greatest increase in thrombotic risk. Thus, a lower APC level may be prompting an increase in NETosis and a subsequent increase in cfDNA levels. No correlation was observed between APC levels and calprotectin or MPO (data not shown).
Variations in normal APC levels are, in part, genetically determined by mutations in the receptors located in the endothelial cell surface needed for its activation, i.e., EPCR and TM [16]. Indeed, PROCR H1, PROCR H3, and THBD c.1418C>T modify the expression of these receptors in the endothelial cell surface thus regulating plasma APC levels and, with it, the VTE risk. In particular, PROCR H1 reduces the risk of VTE through an increase in APC levels [17]. PROCR H3 promote the shedding of EPCR from the cell membrane (increasing plasma sEPCR) thus reducing protein C activation (decreasing plasma APC) and, consequently, increasing the risk of VTE [17]. Finally, THBD c.1418C>T promote a decrease in TM shedding from the cell membrane (decreasing plasma sTM) thus increasing protein C activation (increasing plasma APC) and, with it, reducing the risk of VTE [18]. Therefore, we analyzed in our patients the relation between these polymorphisms and the levels of plasma APC, sEPCR, and sTM. We distributed the APC, sEPCR, and sTM levels according to the aforementioned PROCR and THBD genotypes (Table 2). As expected, APC levels significantly increased with the number of PROCR H1 alleles (p = 0.0004). sEPCR levels strongly increased when the number of H3 alleles (p < 0.0001) and APC levels strongly decreased with the number of H3 alleles (p = 0.0008) (Table 2). Finally, sTM levels decreased with the number of THBD c.1418T (p = 0.0032) and APC levels tended to increase with the number of T alleles, although the number of individuals studied is rather limited due to lack of DNA sample.
As expected, there was no obvious effect of PROCR H1 and H3 on sTM levels, and no effect of THBD c.1418T on sEPCR levels (Table 2).
To evaluate whether the cause of the thrombosis had an influence on the levels of APC, sEPCR, or sTM, we compared their levels between patients with provoked vs. unprovoked DVT. No differences were observed in APC, sEPCR, or sTM levels (Table S2).

3. Discussion

The increasing evidence about the participation of neutrophils in different disorders and the lack of standardization in the markers addressed has prompted the development of specific assays for NETs measurement in plasma with limited success [35]. These assays detect complexes of different NET´s components. However, when used, NETs do not seem to correlate with VTE extent [35]. Other methods, non-applicable for plasma samples, require isolation and in vitro neutrophil activation [36] or have been developed for NETs detection in paraffin-embedded tissue [37]. Thus, to date, no direct and easy method has been validated to measure NETs in plasma. Furthermore, several components of activated neutrophils, but not intact NETs [38], can trigger coagulation and have been associated with an increase in the risk of thrombosis [25,26,28,30] although these studies are rather limited in sample size and/or specific markers addressed. Accordingly, we aimed to further clarify the status of the main markers of neutrophil activation in plasma of VTE patients and their association with the thrombotic risk.
In our study, we observed an increase in the levels of cfDNA, calprotectin and MPO, in plasma of lower extremity VTE and SVT patients. Differences in neutrophil counts could be the source of variation in plasma activation markers; however, no differences in neutrophil counts were observed between lower extremity VTE patients and controls. In addition, a lower level of neutrophils was observed in SVT, what cannot account for the increase in neutrophil activation markers observed. The neutrophil activation markers studied herein could have a different cellular origin other than neutrophils. Calprotectin and MPO could be released by monocytes, macrophages, or eosinophils, but only to a lesser extent. In fact, calprotectin accounts for approximately 60% of total soluble proteins in the cytosolic fraction of neutrophils [39] and, although low levels are found in other phagocytic cells, it is clinically considered to be neutrophil-specific [40] and higher levels in plasma or feces are found in diseases associated with increased neutrophil activity [41,42,43,44,45,46,47,48,49,50,51,52] and NETs [53]. cfDNA could be released into plasma by apoptotic or necrotic cells. Following the strategy addressed in previous studies [25,26,27,28,29,33,34,54,55], we evaluated whether the different markers of neutrophil activation measured in plasma had the same cellular origin by means of their correlation. We found a significant correlation between levels of cfDNA and calprotectin (r = 0.28; p < 0.0001), similar to that observed in previous plasma studies [27,33], and also between neutrophil count and calprotectin (Spearman r = 0.18; p = 0.003) indicating that they might have, to some extent, the same origin, probably an increased activation of neutrophils or NETosis. Additionally, the inflammatory marker NLR has been previously ascertained as a simple and valuable marker for VTE prognosis [56,57,58,59] and also for other thrombotic disorders [60,61,62,63]. Thus, we also evaluated the NLR in our clinical groups. In line with these previous studies, we found a significantly increased NLR in SVT patients and also in all patients when analyzed together compared to healthy controls. In contrast to previous studies, no differences in NLR arose between lower extremity VTE patients and controls and NLR values in our patients were lower than those previously reported, probably because most of these studies were conducted in the acute phase of the disease when an exacerbated inflammatory state may be occurring. Remarkably, SVT patients had a significantly higher NLR than lower extremity VTE patients, what might be influenced by the differences in blood counts in these patients compared to the other two study groups analyzed. Future studies prospectively conducted in larger cohorts of SVT and lower extremity VTE patients might confirm the discrepant NLR in these thrombotic scenarios and its diagnostic value.
VTE is a serious disorder with an incidence of 1.4 per 1000 individuals/year, 20% of which die within a year [64]. The causes of thrombosis are both genetic and acquired; however, despite the large increase in the number of identified risk factors, still a substantial number of thrombotic events occur spontaneously without an apparent origin, which may reflect causes not yet discovered. Provided the interplay between immunity and thrombosis, where neutrophils play a predominant role; markers of neutrophil activation may allow identifying patients with high thrombotic risk, as we previously demonstrated in cancer patients [33,34]. Thus, we explored the relation of neutrophil activation markers and the risk of thrombosis. We found that increased plasma levels of cfDNA, calprotectin and MPO were all associated with a significant increase in the risk of VTE. Age, sex, FVL, PT g.20210G>A or neutrophil count did not modify the risk of thrombosis. However, when all markers of neutrophil activation were analyzed together, only cfDNA and MPO remained significant, what may be caused by the correlation between plasma cfDNA and calprotectin. In line with previous studies, cfDNA was the parameter associated with the greatest increase in the thrombotic risk. Recently, Jiménez-Alcázar et al. [35] highlighted new aspects of the role of cfDNA in the thrombotic risk. In their study, plasma cfDNA levels correlated with VTE extent and predicted PE-related and all-cause mortality in patients with acute VTE aged ≥65 years during a 3-year follow-up. Similarly, Arnalich et al. [30] suggested that cell-free plasma mitochondrial DNA may be a promising marker for predicting 15-day mortality in patients with acute massive PE. DNA seems to be an essential component of activated neutrophils in driving their prothrombotic activities [38]. In fact, previous studies demonstrated that the effective resolution of a clot during thrombolysis not only required fibrin and von Willebrand Factor degradation, but also required the complete lysis of the scaffold structure that composes NETs, mainly DNA [4,65,66]. Moreover, the reduction of DNase I activity in plasma was associated with a higher rate of acute thrombotic microangiopathies [24] and also lupus-associated nephritis caused by the development of autoantibodies against DNA, histones, and neutrophil proteins when NETs were not rapidly eliminated [22]. Remarkably, the negative effects of poorly degraded NETs in these patients could be restored by supplementing plasma with recombinant human DNase I. All in all, our results suggest that once confirmed in a large independent cohort of VTE patients, cfDNA, calprotectin, and MPO might become novel VTE biomarkers and their dysregulation might explicate a subset of unexplained VTE events. Additionally, novel therapeutic strategies might be developed to restore their dysregulation.
Besides its anticoagulant function, APC is able to degrade neutrophil histones and reduce their cytotoxicity, thus decreasing thrombosis, endothelial dysfunction, renal dysfunction, intra-alveolar hemorrhages, organ failure, and death in sepsis models [67,68]. Furthermore, recent evidence has revealed that APC binds human leukocytes and inhibits NETosis in an EPCR-, PAR3-, and Mac-1-dependent manner, what may represent a new anti-inflammatory mechanism of APC [19]. Provided that a low plasma level of APC is an independent risk factor for VTE [14], increased NETosis and reduced histone degradation may also occur in patients with low APC levels such as VTE [14], myocardial infarction [15], and other inflammatory processes [69]. Herein, we evaluated the relation between circulating APC levels and NETosis (through the quantification of the neutrophil activation markers), and we observed significant lower levels of plasma circulating APC in VTE patients than in healthy controls and an increase in neutrophil activation markers. Furthermore, an inverse correlation was observed between circulating APC and cfDNA levels, the neutrophil activation marker associated with the greatest increase in thrombotic risk. Our findings reinforce the hypothesis of a prothrombotic scenario in VTE patients facilitated both by low anticoagulant APC levels and an increase in neutrophil activation markers. Furthermore, these low APC levels would further enhance NETosis and, with it, thrombosis. However, we are aware that our results cannot establish any relation of direct causality between APC and NETosis in VTE patients, what may require additional experiments. Moreover, APC levels are genetically regulated by mutations in the receptors on the endothelial cell surface needed for its activation, i.e., EPCR and TM. PROCR H1 and THBD c.1418T increase APC levels through an increase in the membrane-bound receptors (decreasing sTM levels) thus leading to an increased protein C activation and, with it, to a decrease in the risk of VTE [17,18]. Contrarily, PROCR H3 decrease APC levels by inducing the shedding of the receptor from the endothelial cell membrane (increasing sEPCR levels) thus reducing protein C activation and, with it, increasing the risk of VTE [17]. Therefore, we also evaluated the genetic regulation of APC levels by these polymorphisms in our VTE patients and we confirmed our previous findings. This reduction in APC levels observed in our VTE patients would both increase the risk of thrombosis and may promote NETosis, with the subsequent increase in the neutrophil activation markers observed in these patients. Furthermore, the inhibition of NETosis by APC is EPCR-dependent [19] and we have demonstrated that PROCR H1 is anti-thrombotic via an increase in functional membrane-bound EPCR and that PROCR H3 is pro-thrombotic via the induction of the shedding of the EPCR from the endothelial cell membrane, which further reinforces this feedback mechanism. Moreover, the reduction in APC levels observed in our patients would also reduce the cytoprotective properties of APC what may contribute, in turn, to maintain a basal systemic chronic inflammatory state that would promote both thrombosis and NETosis.
A limitation of our study is that, contrarily to that observed in previous studies conducted in the acute phase of the disease [25,28,35], we could not reliably detect nucleosomes in plasma given the extremely low levels measured. This effect cannot be related to technical problems since we successfully performed this assay in plasma of cancer and cancer-VTE patients [33,34]. Therefore, we believe that nucleosomes could not be reliably measured probably because our samples were not collected in the acute phase of the thrombotic event or due to pre-analytical differences among studies. Another limitation is that, although patients were studied at least 6 months after the acute event, we cannot know whether the increased levels of the neutrophil activation markers studied are a persistent endogenous characteristic of VTE patients that contributed to the prior thrombotic event or whether they are the consequence of the thrombosis. However, although the half-life of the neutrophil activation markers has not been well-established, a basal NETosis may be occurring provided that these markers are present in plasma of healthy controls. Prospective population-based studies would validate the association of increased plasma levels of these markers and the risk of thrombosis and would ascertain whether their dysregulation explains a portion of current VTE events of current uncertain origin. However, such studies are very hard to conduct given the great sample size and long follow-up required to show significant differences. In turn, many studies of biological markers related to thrombosis have been conducted after the VTE event and in the stable phase of the disease [14,17,70,71,72]. Additionally, APC studies cannot be performed in the acute phase of thrombosis since APC is being consumed, thus impeding the achievement of this study in the acute phase of thrombosis. Current population-based studies cannot be employed to corroborate our results since a special plasma sample is required for APC quantification [14] and because limited or no plasma samples are often available. Finally, other markers of neutrophil activation such as MPO-DNA complexes might be more specific markers of NETosis [73,74] and may shed light on the underlying mechanism responsible for the contribution of neutrophils to thrombosis.

4. Materials and Methods

4.1. Study Subjects

Our study included 253 unrelated Caucasian patients with at least one objectively confirmed episode of thrombosis who consecutively and prospectively entered the anticoagulation clinic at La Fe University and Polytechnic Hospital (Valencia, Spain) for thrombophilia study, between 2010 and 2015. Objective diagnoses of lower extremity DVT and PE were made by clinical probability, D-dimer levels, compression ultrasonography, ventilation perfusion lung scan and, when necessary, phlebography or pulmonary angiography. Splanchnic vein thrombosis (SVT), another type of DVT, was objectively diagnosed by abdominal computed tomography-scan or ultrasonography. Spontaneous thrombosis was defined as a thrombotic event without known precipitating risk factors (use of oral contraceptives, pregnancy, puerperium, surgery, trauma, or immobilization). Patients under antithrombotic therapy, protein C deficiency, protein S deficiency, antithrombin deficiency, or with known cancer were excluded.
The control group included 249 unrelated Caucasian healthy subjects with no history of thromboembolic disease. Controls were randomly selected to match cases by age, gender, and geographic distribution.
All subjects participated after giving written informed consent according to protocols approved by the ethics review board at La Fe University and Polytechnic Hospital. The study was performed according to the declaration of Helsinki, as amended in Edinburgh in 2000.

4.2. Blood Collection

Blood was collected at least 6 months after the thrombotic event (median 1 year), i.e., in the stable phase of the disease. For the quantification of neutrophil activation markers, blood was collected in 4.5 mL Vacutainer tubes (BD Diagnostics, Franklin Lakes, NJ, USA) containing 0.5 mL of 0.109 M trisodium citrate. For the measurement of circulating APC, blood was collected two tubes containing 0.109 M trisodium citrate. Immediately after blood sampling (within 10 s), 46 μL of a mixture of 0.58 M benzamidine-HCl (Sigma Aldrich, Saint Louis, MO, USA) and 0.5 mM D-phenylalanyl-L-prolyl-L-arginine chloromethyl ketone·2HCl (PPACK, Calbiochem, Darmstadt Germany) was added to one citrate tube to inhibit circulating APC, and 46 μL of 1000 U/mL heparin (Rovi, Madrid, Spain) was added to the other citrate tube and the mixture was incubated at 37 °C for 30 min to force APC to complex to its major inhibitor, the protein C inhibitor (PCI) [14]. Plasma was obtained by centrifugation at 1.811× g for 30 min at 4 °C and stored in aliquots at −80 °C until further use. For DNA studies, blood was collected in tubes containing K3EDTA.

4.3. Quantification of Neutrophil Activation Markers

Markers of neutrophil activation were measured following the strategy addressed previously [25,26,27,28,29,33,34,54,55], i.e., measuring cfDNA and nucleosomes as markers of the nuclear content of neutrophils released upon NETosis, calprotectin as a marker of cytoplasmic content, and myeloperoxidase as a marker of the content of neutrophil granules, both released upon neutrophil activation by different mechanisms. All the experiments were performed in duplicate.
Plasma cfDNA was quantified using the Quant-iTTM PicoGreen dsDNA Kit (Life Technologies, Eugene, OR, USA). Plasma was diluted 1/40 in TE buffer (10 mM Tris-HCl, 1 mM EDTA, pH 7.5). One hundred microliters of diluted plasma was mixed with 100 µL of TE containing Quant-iT™ PicoGreen (200-fold dilution) to label cfDNA. Fluorescence was recorded in a SpectraMax Gemini XS fluorometer (Molecular Devices, San José, CA, USA) at 480 nm excitation and 520 nm emission. cfDNA concentrations were calculated based on a standard curve of known concentrations of λ DNA (Life Technologies) included in each experimental plate. The intra- and inter-assay coefficients of variation were less than 7%.
Nucleosomes are a complex of DNA and histones and represent the basic building blocks of chromatin. A nucleosome comprises about 150–200 bp of DNA wrapped around a core of double represented histone proteins H2A, H2B, H3, and H4. A linker DNA of 10 to 100 bp connects nucleosomes and histone H1 binds to the linker DNA and is important for chromatin organization. Plasma nucleosomes were quantified using the Cell Death Detection ELISAPLUS kit (Roche, Mannheim, Germany) following manufacturer’s instructions. Briefly, nucleosomes were quantified in 20 µL undiluted plasma using a capturing antibody against an epitope shared by all histones and a detecting antibody against DNA. Absorbance at 405 nm (reference wavelength 490 nm) was recorded in a MRX TC Revelation plate reader (Thermo Labsystems, Madrid, Spain). However, levels of nucleosomes in these individuals were extremely low: in a subset of 79 patients and 81 healthy controls the average optical density obtained was 0.08 and 0.07, respectively, near the blank values. Therefore, we discontinued the quantification of nucleosomes in our study.
MPO is a heme protein stored in granules of neutrophils and monocytes known to produce reactive oxygen species. MPO is particularly abundant in neutrophils, accounts for 25% of granular proteins and for 5% of all proteins, and is released together with DNA during NETosis. Plasma MPO was quantified from 1/50 diluted plasma using the MPO (human) ELISA Kit (Abnova, Taoyuan, Taiwan) following manufacturer’s instructions. Absorbance at 450 nm (reference wavelength 620 nm) was recorded in a MRXTC Revelation plate reader (Thermo Labsystems). The intra- and inter-assay coefficients of variation were less than 11%.
Calprotectin (also known as S100A8/A9 heterocomplexes), belongs to a group of calcium-binding S100 proteins that is mainly contained within circulating neutrophils, in which it accounts for 60% of the cytosolic proteins, and it can be found at low concentrations in monocytes and macrophages [39]. Calprotectin is used as a diagnostic marker of inflammation in human plasma [41,46,50,51,52], and is released together with DNA during NETosis [5]. Plasma calprotectin was quantified from 1/50 diluted plasma using the Human Calprotectin ELISA Kit (Hycult Biotech, Uden, TheNetherlands)) following manufacturer´s instructions. Absorbance at 450 nm (reference wavelength 620 nm) was recorded in a MRXTC Revelation plate reader (Thermo Labsystems). The intra- and inter-assay coefficients of variation were less than 10%.

4.4. Quantification of Plasma APC, sEPCR, and sTM

Plasma levels of circulating APC were measured by quantifying the concentration of APC:PCI complexes from 1/6 diluted plasma by a sandwich ELISA developed by our group as previously reported [14]. Briefly, microplates were coated with a monoclonal antibody to protein C (PC) and complexes were detected with peroxidase-labeled polyclonal antibodies to PCI. APC concentration in the complex is expressed in nM, assuming a molecular weight of APC of 57,000. Standard curves were constructed with known amounts of in vitro preformed complexes. The detection limit of the assay in plasma was 0.0017 nM (0.1 μg/L) APC. The concentration of APC:PCI in the heparin tube is the sum of the in vivo circulating APC:PCI complexes and the complexes formed in vitro from circulating APC, whereas the concentration of APC:PCI in the benzamidine-PPACK tube reflects the concentration of the in vivo circulating APC:PCI complexes. Hence, the concentration of circulating APC was calculated from the difference in APC:PCI concentration measured in the two tubes. All samples were measured in duplicate. Absorbance at 490 nm (reference wavelength 620 nm) was recorded in a MRXTC Revelation plate reader (Thermo Labsystems). The intra- and inter-assay coefficients of variation were less than 15%.
Plasma levels of soluble EPCR (sEPCR) were measured from 1/51 diluted plasma with the Asserachrom sEPCR ELISA kit (Diagnostica Stago, Asnières sur Seine Cedex, France) [17] following manufacturer’s instructions without additional modifications. All samples were measured in duplicate. Absorbance at 450 nm (reference wavelength 620 nm) was recorded in a MRXTC Revelation plate reader (Thermo Labsystems). The intra- and inter-assay coefficients of variation were less than 7%.
Plasma levels of soluble TM (sTM) were measured from 1/4 diluted plasma with the Imubind Thrombomodulin ELISA kit (American Diagnostica, Burlington, MA, USA) [18] following manufacturer’s instructions without additional modifications. All samples were measured in duplicate. Absorbance at 490 nm (reference wavelength 620 nm) was recorded in a MRXTC Revelation plate reader (Thermo Labsystems). The intra- and inter-assay coefficients of variation were less than 6%.

4.5. Genotyping of the Genetic Regulators of Plasma APC: PROCR Haplotypes and THBD c.1418C>T Polymorphism

Genomic DNA of patients and controls was isolated from 200 µL K3EDTA blood using the Wizard® Genomic DNA Purification Kit (Promega, Madison, WI, USA), following the manufacturer’s instructions.
The haplotypes (H) of the gene encoding for EPCR (PROCR) H1 and H3 are tagged by the SNPs g.4678G>C (rs9574) and g.4600A>G (rs867186), respectively. Both SNPs are located in PROCR exon 4, which includes the 3-UTR of PROCR, and it was amplified by using the following primers: forward 5′-GCTTCAGTCAGTTGGTAAAC-3′, and reverse 5′-TCTGGCTTCACAGTGAGCTG-3′ (Gibco BRL, Life Technologies). The 50 µL reaction mixture contained 3 μL of 7 ng/μL DNA, 1 μL of dNTPs (10 mM/each; PCR Nucleotide Mix, Promega), 0.3 μL of 10 pmol/μL forward primer, 0.135 μL of 1485 ng/μL reverse primer, 10% dimethylsulfoxide (Sigma), 5 μL of 1 mg/mL BSA (New England Biolabs, Ipswich, MA, USA), 0.25 μL of 5 U/μL Taq DNA polymerase (Promega), and 5 μL of 670 mM Tris-HCl pH 8.8, 67 mM MgCl2, 67 μM EDTA, 166 mM (NH4)2SO4 and 100 mM β-mercaptoethanol (Sigma). The reaction mixture was incubated at 94 °C for 4 min, followed by 32 cycles of 94 °C for 45 s, 55 °C for 45 s and 72 °C for 45 s, with a final extension of 4 min at 72 °C [75]. The g.4600A>G SNP was genotyped by SSCP: 10 μL of amplified PCR product was mixed with 10 μL of 98.75% formamide containing 5 mM EDTA, 0.125% bromophenol blue and 0.125% xylene cyanol (Sigma). The mixture was denatured at 95 °C for 7 min and applied to an 8% polyacrylamide gel containing 7% glycerol, 89 mM Tris-borate, and 2 mM EDTA pH 8.0. Electrophoresis was performed at 125 V for approximately 19 h at a constant temperature of 24 °C (DCODE Universal Mutation Detection System, Bio-Rad Laboratories, Hercules, CA, USA). The gel was silver stained following standard procedure. Controls with the 4600AA, AG, and GG genotypes were included in each gel. When SSCP analysis revealed a shift in the migration pattern of the PCR products, PCR products were directly sequenced to confirm the g.4600AG genotype. Sequencing was performed using CEQ 2000 Dye Terminator Cycle Sequencing Kit and CEQ 2000 DNA Analysis System (Beckman Coulter, Brea, CA, USA). The g.4678G>C was genotyped by restriction analysis with DdeI (5´C/TNAG 3′). Restriction analysis was performed in a 24 μL reaction mixture containing 16 μL of the aforementioned PCR product, 0.2 μL of 10 U/μL DdeI (Gibco BRL, Life Technologies), 2.4 μL of a buffer containing 50 mM Tris-HCl pH 8.0, 10 mM MgCl2 and 100 mM NaCl (Gibco BRL, Life Technologies) and 5.4 μL of dH2O. The mixture was incubated at 37 °C for 3 h and digestion products were electrophoresed on a 2.5% agarose gel (Agarose MS8 Pronadisa, Hispanlab, Madrid, Spain) containing 0.05 mg ethidium bromide/mL gel and visualized under UV light. In the presence of the mutation (C allele), the original 314 bp fragment is converted in two fragments of 252 and 62 bp. The presence of the 4678CC genotype was confirmed by PCR amplification and direct sequencing in all cases. In addition, about 30% of samples genotyped by restriction analysis as GG or GC were sequenced and, in all cases, the genotype was confirmed.
The c.1418C>T polymorphism (rs1042579) of the gene encoding for TM (THBD) was genotyped by direct sequencing with the ABI PRISM® 3730 DNA Analyzer (Applied Biosystems, Foster City, CA, USA), using the following set of primers: forward 5′-GTGGCTTCGAGTGCCACTGC-3′ and reverse 5′-CGCACTTGTACTCCATCTTGGCCCTG-3′ (Gibco BRL, Life Technologies). The reaction mixture contained 3 μL of 7 ng/μL DNA, 10 μL of 5X colorless Go Taq®Flexi buffer (Promega), 3 μL of 25 mM MgCl2, 1 μL of dNTPs (10 mM/each), 0.3 μL of 10 pmol/μL forward primer, 0.135 μL of 1485 ng/μL reverse primer, 0.25 μL of 5 U/μL Taq DNA polymerase (Promega) and 40.27 μL of dH2O. The reaction mixture was incubated at 95 °C for 4 min, followed by 33 cycles of 95 °C for 45 s, 66 °C for 45 s, and 72 °C for 45 s, with a final extension of 4 min at 72 °C [18].

4.6. Statistical Analysis

Data were summarized using median (first, third quartile) in the case of continuous variables and relative and absolute frequencies in the case of categorical variables. Differences in the levels of each neutrophil activation marker between clinical groups were analyzed with linear regression models. The associations between the different markers were assessed using Spearman’s correlation. The association between the thrombotic risk and the concentration of each neutrophil activation marker was assessed by adjusting three Bayesian logistic regression models with weakly informative priors for the coefficients, N(0, 1). Additionally, as a sensitivity analysis, a Bayesian logistic regression model was adjusted including all the neutrophil activation markers. Age, sex, FVL, and PT g.20120G>A were included as a cofounder in these models. The association of APC, sEPCR, and sTM with VTE were assessed comparing the levels of each marker between the two clinical groups using the Wilcoxon–Mann–Whitney test and differences within the groups were assessed using the Kruskal–Wallis test. Results were considered statistically significant at p < 0.05. All statistical analyses were performed using R (version 3.5.1).

5. Conclusions

In conclusion, this is the largest case-control study that demonstrates the increase in markers of neutrophil activation in vivo in VTE patients and where an increase in the thrombotic risk was demonstrated. Furthermore, these patients have lower APC plasma levels what, in turn, increase the thrombotic risk, might promote NETosis and might induce a basal pro-inflammatory state that would further enhance both thrombosis and NETosis. The deep knowledge of the molecular mechanisms triggered by neutrophil components released upon activation will promote strategies to regulate their pro-thrombotic potential.

Supplementary Materials

The following are available online at https://www.mdpi.com/1422-0067/21/16/5651/s1, Table S1: Differences in the clinical characteristics of the study subjects. The levels of each clinical variable registered were compared between groups using the Kruskal–Wallis test for continuous variables and the Chi-squared test with Holm correction for categorical variables. Results were considered statistically significant at p < 0.05. All statistical analyses were performed using R (version 3.5.1); Table S2: Levels of neutrophil activation markers, APC, sEPCR, and sTM in VTE patients according to cause, provoked or unprovoked DVT. Differences in every marker studied were assessed using the Wilcoxon–Mann–Whitney test. Results were considered statistically significant at p < 0.05. All statistical analyses were performed using R (version 3.5.1); Table S3: Levels of neutrophil activation markers in lower extremity VTE, SVT, and all patients according to VTE recurrences. Differences in every marker studied were assessed using the Wilcoxon–Mann–Whitney test. Results were considered statistically significant at p < 0.05. All statistical analyses were performed using R (version 3.5.1); Table S4. Multivariable logistic regression model to assess the variation of the thrombotic risk according to the concentration of cfDNA. Covariates were age, sex, and presence of the thrombophilic risk factors FVL and PT g.20210G>A. All statistical analyses were performed using R (version 3.5.1); Table S5. Multivariable logistic regression model to assess the variation of the thrombotic risk according to the concentration of myeloperoxidase. Covariates were age, sex, and presence of the thrombophilic risk factors FVL and PT g.20210G>A. All statistical analyses were performed using R (version 3.5.1); Table S6. Multivariable logistic regression model to assess the variation of the thrombotic risk according to the concentration of calprotectin. Covariates were age, sex, and presence of the thrombophilic risk factors FVL and PT g.20210G>A. All statistical analyses were performed using R (version 3.5.1); Table S7. Multivariable logistic regression model to assess the variation of the thrombotic risk according to the concentration of cfDNA, calprotectin, and myeloperoxidase. Covariates were age, sex, and presence of the thrombophilic risk factors FVL and PT g.20210G>A. All statistical analyses were performed using R (version 3.5.1).

Author Contributions

L.M. performed the experiments and critically revised the manuscript. J.O. performed the experiments, analyzed the data, and critically revised the manuscript. Á.F.-P. performed the experiments. E.P. performed the experiments and critically revised the manuscript. M.J.S. processed the samples and performed the experiments. F.C. processed the samples and developed the databases. D.H. analyzed the data and critically revised the manuscript. S.B. clinically selected and followed the patients and controls and revised the manuscript. F.F. clinically selected and followed the patients and controls and revised the manuscript. F.E. designed and supervised the experiments, analyzed the data, and critically revised the manuscript. S.N. performed the experiments, analyzed the data, and critically revised the manuscript. P.M. designed and performed the experiments, analyzed the data, and wrote the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by research grants from Instituto de Salud Carlos III (PI14/00079, PI14/00512, FI14/00269, PI17/00495), FEDER una manera de hacer Europa, Generalitat Valenciana (PrometeoII/2015/017, ACIF/2017/138), and Sociedad Española de Trombosis y Hemostasia.

Acknowledgments

We would like to thank Cristina Elías López, Marina Yelo Sáez and Antonio José Cañada Martínez for their technical support.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Abbreviations

APCActivated Protein C
cfDNACell-free DNA
DVTDeep vein thrombosis
EPCREndothelial protein C receptor
HHaplotype
MPOMyeloperoxidase
NETsNeutrophil extracellular traps
NLRNeutrophil-to-lymphocyte ratio
PEPulmonary embolism
PROCRGene encoding for the endothelial protein C receptor
sEPCRSoluble endothelial protein C receptor
sTMSoluble thrombomodulin
SVTSplanchnic vein thrombosis
THBDGene encoding for thrombomodulin
TMThrombomodulin
VTEVenous thromboembolism

References

  1. Engelmann, B.; Massberg, S. Thrombosis as an intravascular effector of innate immunity. Nat. Rev. Immunol. 2013, 13, 34–45. [Google Scholar] [CrossRef] [PubMed]
  2. von Bruhl, M.L.; Stark, K.; Steinhart, A.; Chandraratne, S.; Konrad, I.; Lorenz, M.; Khandoga, A.; Tirniceriu, A.; Coletti, R.; Kollnberger, M.; et al. Monocytes, neutrophils, and platelets cooperate to initiate and propagate venous thrombosis in mice in vivo. J. Exp. Med. 2012, 209, 819–835. [Google Scholar] [CrossRef] [PubMed]
  3. Nicklas, J.M.; Gordon, A.E.; Henke, P.K. Resolution of Deep Venous Thrombosis: Proposed Immune Paradigms. Int. J. Mol. Sci. 2020, 21. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Fuchs, T.A.; Brill, A.; Wagner, D.D. Neutrophil extracellular trap (NET) impact on deep vein thrombosis. Arterioscler. Thromb. Vasc. Biol. 2012, 32, 1777–1783. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. von Köckritz-Blickwede, M.; Nizet, V. Innate immunity turned inside-out: Antimicrobial defense by phagocyte extracellular traps. J. Mol. Med. 2009, 87, 775–783. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Fuchs, T.A.; Brill, A.; Duerschmied, D.; Schatzberg, D.; Monestier, M.; Myers, D.D., Jr.; Wrobleski, S.K.; Wakefield, T.W.; Hartwig, J.H.; Wagner, D.D. Extracellular DNA traps promote thrombosis. Proc. Natl. Acad. Sci. USA 2010, 107, 15880–15885. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Nickel, K.F.; Long, A.T.; Fuchs, T.A.; Butler, L.M.; Renne, T. Factor XII as a Therapeutic Target in Thromboembolic and Inflammatory Diseases. Arterioscler. Thromb. Vasc. Biol. 2017, 37, 13–20. [Google Scholar] [CrossRef] [Green Version]
  8. Folco, E.J.; Mawson, T.L.; Vromman, A.; Bernardes-Souza, B.; Franck, G.; Persson, O.; Nakamura, M.; Newton, G.; Luscinskas, F.W.; Libby, P. Neutrophil Extracellular Traps Induce Endothelial Cell Activation and Tissue Factor Production Through Interleukin-1alpha and Cathepsin G. Arterioscler. Thromb. Vasc. Biol. 2018, 38, 1901–1912. [Google Scholar] [CrossRef]
  9. Massberg, S.; Grahl, L.; von Bruehl, M.L.; Manukyan, D.; Pfeiler, S.; Goosmann, C.; Brinkmann, V.; Lorenz, M.; Bidzhekov, K.; Khandagale, A.B.; et al. Reciprocal coupling of coagulation and innate immunity via neutrophil serine proteases. Nat. Med. 2010, 16, 887–896. [Google Scholar] [CrossRef]
  10. Glaser, C.B.; Morser, J.; Clarke, J.H.; Blasko, E.; McLean, K.; Kuhn, I.; Chang, R.J.; Lin, J.H.; Vilander, L.; Andrews, W.H.; et al. Oxidation of a specific methionine in thrombomodulin by activated neutrophil products blocks cofactor activity. A potential rapid mechanism for modulation of coagulation. J. Clin. Investig. 1992, 90, 2565–2573. [Google Scholar] [CrossRef] [Green Version]
  11. Ammollo, C.T.; Semeraro, F.; Xu, J.; Esmon, N.L.; Esmon, C.T. Extracellular histones increase plasma thrombin generation by impairing thrombomodulin-dependent protein C activation. J. Thromb. Haemost. 2011, 9, 1795–1803. [Google Scholar] [CrossRef] [PubMed]
  12. Kowalska, M.A.; Zhao, G.; Zhai, L.; David, G., 3rd; Marcus, S.; Krishnaswamy, S.; Poncz, M. Modulation of protein C activation by histones, platelet factor 4, and heparinoids: New insights into activated protein C formation. Arterioscler. Thromb. Vasc. Biol. 2014, 34, 120–126. [Google Scholar] [CrossRef] [PubMed]
  13. España, F.; Medina, P.; Navarro, S.; Zorio, E.; Estellés, A.; Aznar, J. The multifunctional protein C system. Curr. Med. Chem. Cardiovasc. Hematol. Agents 2005, 3, 119–131. [Google Scholar] [CrossRef] [PubMed]
  14. España, F.; Vayá, A.; Mira, Y.; Medina, P.; Estellés, A.; Villa, P.; Falcó, C.; Aznar, J. Low level of circulating activated protein C is a risk factor for venous thromboembolism. Thromb. Haemost. 2001, 86, 1368–1373. [Google Scholar]
  15. Zorio, E.; Navarro, S.; Medina, P.; Estellés, A.; Osa, A.; Rueda, J.; Cubillo, P.; Aznar, J.; España, F. Circulating activated protein C is reduced in young survivors of myocardial infarction and inversely correlates with the severity of coronary lesions. J. Thromb. Haemost. 2006, 4, 1530–1536. [Google Scholar] [CrossRef]
  16. Soria, J.M.; Navarro, S.; Medina, P.; Souto, R.; Buil, A.; Estellés, A.; Fontcuberta, J.; España, F. Heritability of plasma concentrations of activated protein C in a Spanish population. Blood Coagul. Fibrinolysis Int. J. Haemost. Thromb. 2009, 20, 17–21. [Google Scholar] [CrossRef]
  17. Medina, P.; Navarro, S.; Bonet, E.; Martos, L.; Estellés, A.; Bertina, R.M.; Vos, H.L.; España, F. Functional analysis of two haplotypes of the human endothelial protein C receptor gene. Arterioscler. Thromb. Vasc. Biol. 2014, 34, 684–690. [Google Scholar] [CrossRef] [Green Version]
  18. Navarro, S.; Medina, P.; Bonet, E.; Corral, J.; Martínez-Sales, V.; Martos, L.; Rivera, M.; Roselló-Lletí, E.; Alberca, I.; Roldán, V.; et al. Association of the thrombomodulin gene c.1418C>T polymorphism with thrombomodulin levels and with venous thrombosis risk. Arterioscler. Thromb. Vasc. Biol. 2013, 33, 1435–1440. [Google Scholar] [CrossRef] [Green Version]
  19. Healy, L.D.; Puy, C.; Fernández, J.A.; Mitrugno, A.; Keshari, R.S.; Taku, N.A.; Chu, T.T.; Xu, X.; Gruber, A.; Lupu, F.; et al. Activated protein C inhibits neutrophil extracellular trap formation in vitro and activation in vivo. J. Biol. Chem. 2017, 292, 8616–8629. [Google Scholar] [CrossRef] [Green Version]
  20. Brill, A.; Fuchs, T.A.; Savchenko, A.S.; Thomas, G.M.; Martinod, K.; De Meyer, S.F.; Bhandari, A.A.; Wagner, D.D. Neutrophil extracellular traps promote deep vein thrombosis in mice. J. Thromb. Haemost. 2012, 10, 136–144. [Google Scholar] [CrossRef] [Green Version]
  21. Wang, Y.; Wang, W.; Wang, N.; Tall, A.R.; Tabas, I. Mitochondrial Oxidative Stress Promotes Atherosclerosis and Neutrophil Extracellular Traps in Aged Mice. Arterioscler. Thromb. Vasc. Biol. 2017, 37, e99–e107. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Hakkim, A.; Furnrohr, B.G.; Amann, K.; Laube, B.; Abed, U.A.; Brinkmann, V.; Herrmann, M.; Voll, R.E.; Zychlinsky, A. Impairment of neutrophil extracellular trap degradation is associated with lupus nephritis. Proc. Natl. Acad. Sci. USA 2010, 107, 9813–9818. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Demers, M.; Wagner, D.D. NETosis: A new factor in tumor progression and cancer-associated thrombosis. Semin. Thromb. Hemost. 2014, 40, 277–283. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Jiménez-Alcázar, M.; Napirei, M.; Panda, R.; Kohler, E.C.; Kremer Hovinga, J.A.; Mannherz, H.G.; Peine, S.; Renne, T.; Lammle, B.; Fuchs, T.A. Impaired DNase1-mediated degradation of neutrophil extracellular traps is associated with acute thrombotic microangiopathies. J. Thromb. Haemost. 2015, 13, 732–742. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. van Montfoort, M.L.; Stephan, F.; Lauw, M.N.; Hutten, B.A.; Van Mierlo, G.J.; Solati, S.; Middeldorp, S.; Meijers, J.C.; Zeerleder, S. Circulating nucleosomes and neutrophil activation as risk factors for deep vein thrombosis. Arterioscler. Thromb. Vasc. Biol. 2013, 33, 147–151. [Google Scholar] [CrossRef] [Green Version]
  26. Díaz, J.A.; Fuchs, T.A.; Jackson, T.O.; Kremer Hovinga, J.A.; Lammle, B.; Henke, P.K.; Myers, D.D., Jr.; Wagner, D.D.; Wakefield, T.W.; for the Michigan Research Venous, G. Plasma DNA is Elevated in Patients with Deep Vein Thrombosis. J. Vasc. Surg. Venous Lymphat. Disord. 2013, 1, 341–348. [Google Scholar] [CrossRef] [Green Version]
  27. Fuchs, T.A.; Kremer Hovinga, J.A.; Schatzberg, D.; Wagner, D.D.; Lämmle, B. Circulating DNA and myeloperoxidase indicate disease activity in patients with thrombotic microangiopathies. Blood 2012, 120, 1157–1164. [Google Scholar] [CrossRef] [Green Version]
  28. Vallés, J.; Lago, A.; Santos, M.T.; Latorre, A.M.; Tembl, J.I.; Salom, J.B.; Nieves, C.; Moscardó, A. Neutrophil extracellular traps are increased in patients with acute ischemic stroke: Prognostic significance. Thromb. Haemost. 2017, 117, 1919–1929. [Google Scholar] [CrossRef]
  29. Mauracher, L.M.; Posch, F.; Martinod, K.; Grilz, E.; Daullary, T.; Hell, L.; Brostjan, C.; Zielinski, C.; Ay, C.; Wagner, D.D.; et al. Citrullinated histone H3, a biomarker of neutrophil extracellular trap formation, predicts the risk of venous thromboembolism in cancer patients. J. Thromb. Haemost. 2018, 16, 508–518. [Google Scholar] [CrossRef]
  30. Arnalich, F.; Maldifassi, M.C.; Ciria, E.; Codoceo, R.; Renart, J.; Fernández-Capitán, C.; Herruzo, R.; García-Rio, F.; López-Collazo, E.; Montiel, C. Plasma levels of mitochondrial and nuclear DNA in patients with massive pulmonary embolism in the emergency department: A prospective cohort study. Crit. Care 2013, 17, R90. [Google Scholar] [CrossRef] [Green Version]
  31. Pertiwi, K.R.; van der Wal, A.C.; Pabittei, D.R.; Mackaaij, C.; van Leeuwen, M.B.; Li, X.; de Boer, O.J. Neutrophil Extracellular Traps Participate in All Different Types of Thrombotic and Haemorrhagic Complications of Coronary Atherosclerosis. Thromb. Haemost. 2018, 118, 1078–1087. [Google Scholar] [CrossRef] [PubMed]
  32. Li, X.; Yuan, K.; Zhu, Q.; Lu, Q.; Jiang, H.; Zhu, M.; Huang, G.; Xu, A. Andrographolide Ameliorates Rheumatoid Arthritis by Regulating the Apoptosis-NETosis Balance of Neutrophils. Int. J. Mol. Sci. 2019, 20. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Oto, J.; Navarro, S.; Larsen, A.C.; Solmoirago, M.J.; Plana, E.; Hervás, D.; Fernández-Pardo, A.; España, F.; Kristensen, S.R.; Thorlacius-Ussing, O.; et al. microRNAs and neutrophil activation markers predict venous thrombosis in pancreatic ductal adenocarcinoma and distal extrahepatic cholangiocarcinoma. Int. J. Mol. Sci. 2020, 21. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Oto, J.; Plana, E.; Solmoirago, M.J.; Fernández-Pardo, A.; Hervás, D.; Cana, F.; España, F.; Artoni, A.; Bucciarelli, P.; Carrabba, G.; et al. microRNAs and markers of neutrophil activation as predictors of early incidental post-surgical pulmonary embolism in patients with intracranial tumors. Cancers 2020, 12. [Google Scholar] [CrossRef]
  35. Jimenez-Alcázar, M.; Limacher, A.; Panda, R.; Méan, M.; Bitterling, J.; Peine, S.; Renné, T.; Beer, J.H.; Aujesky, D.; Lämmle, B.; et al. Circulating extracellular DNA is an independent predictor of mortality in elderly patients with venous thromboembolism. PLoS ONE 2018, 13, e0191150. [Google Scholar] [CrossRef]
  36. Brinkmann, V.; Goosmann, C.; Kuhn, L.I.; Zychlinsky, A. Automatic quantification of in vitro NET formation. Front. Immunol. 2012, 3, 413. [Google Scholar] [CrossRef] [Green Version]
  37. Brinkmann, V.; Abu Abed, U.; Goosmann, C.; Zychlinsky, A. Immunodetection of NETs in Paraffin-Embedded Tissue. Front. Immunol. 2016, 7, 513. [Google Scholar] [CrossRef] [Green Version]
  38. Noubouossie, D.F.; Whelihan, M.F.; Yu, Y.B.; Sparkenbaugh, E.; Pawlinski, R.; Monroe, D.M.; Key, N.S. In vitro activation of coagulation by human neutrophil DNA and histone proteins but not neutrophil extracellular traps. Blood 2017, 129, 1021–1029. [Google Scholar] [CrossRef]
  39. Fagerhol, M.K. Calprotectin, a faecal marker of organic gastrointestinal abnormality. Lancet 2000, 356, 1783–1784. [Google Scholar] [CrossRef]
  40. Ricciuto, A.; Griffiths, A.M. Clinical value of fecal calprotectin. Crit. Rev. Clin. Lab. Sci. 2019, 56, 307–320. [Google Scholar] [CrossRef]
  41. Brun, J.G.; Jonsson, R.; Haga, H.J. Measurement of plasma calprotectin as an indicator of arthritis and disease activity in patients with inflammatory rheumatic diseases. J. Rheumatol. 1994, 21, 733–738. [Google Scholar] [PubMed]
  42. Tibble, J.A.; Sigthorsson, G.; Bridger, S.; Fagerhol, M.K.; Bjarnason, I. Surrogate markers of intestinal inflammation are predictive of relapse in patients with inflammatory bowel disease. Gastroenterology 2000, 119, 15–22. [Google Scholar] [CrossRef]
  43. Tibble, J.A.; Sigthorsson, G.; Foster, R.; Scott, D.; Fagerhol, M.K.; Roseth, A.; Bjarnason, I. High prevalence of NSAID enteropathy as shown by a simple faecal test. Gut 1999, 45, 362–366. [Google Scholar] [CrossRef] [PubMed]
  44. Tibble, J.; Teahon, K.; Thjodleifsson, B.; Roseth, A.; Sigthorsson, G.; Bridger, S.; Foster, R.; Sherwood, R.; Fagerhol, M.; Bjarnason, I. A simple method for assessing intestinal inflammation in Crohn’s disease. Gut 2000, 47, 506–513. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Kronborg, O.; Ugstad, M.; Fuglerud, P.; Johne, B.; Hardcastle, J.; Scholefield, J.H.; Vellacott, K.; Moshakis, V.; Reynolds, J.R. Faecal calprotectin levels in a high risk population for colorectal neoplasia. Gut 2000, 46, 795–800. [Google Scholar] [CrossRef] [Green Version]
  46. Mortensen, O.H.; Nielsen, A.R.; Erikstrup, C.; Plomgaard, P.; Fischer, C.P.; Krogh-Madsen, R.; Lindegaard, B.; Petersen, A.M.; Taudorf, S.; Pedersen, B.K. Calprotectin—A novel marker of obesity. PLoS ONE 2009, 4, e7419. [Google Scholar] [CrossRef]
  47. Jung, S.Y.; Park, Y.B.; Ha, Y.J.; Lee, K.H.; Lee, S.K. Serum calprotectin as a marker for disease activity and severity in adult-onset Still’s disease. J. Rheumatol. 2010, 37, 1029–1034. [Google Scholar] [CrossRef]
  48. Andreásson, K.; Scheja, A.; Saxne, T.; Ohlsson, B.; Hesselstrand, R. Faecal calprotectin: A biomarker of gastrointestinal disease in systemic sclerosis. J. Intern. Med. 2011, 270, 50–57. [Google Scholar] [CrossRef]
  49. Bianchi, M.; Niemiec, M.J.; Siler, U.; Urban, C.F.; Reichenbach, J. Restoration of anti-Aspergillus defense by neutrophil extracellular traps in human chronic granulomatous disease after gene therapy is calprotectin-dependent. J. Allergy Clin. Immunol. 2011, 127, 1243–1252.e1247. [Google Scholar] [CrossRef] [PubMed]
  50. Holmgaard, D.B.; Mygind, L.H.; Titlestad, I.; Madsen, H.; Pedersen, S.S.; Mortensen, O.H.; Pedersen, C. Calprotectin—A marker of mortality in COPD? Results from a prospective cohort study. COPD 2013, 10, 581–587. [Google Scholar] [CrossRef] [PubMed]
  51. Pedersen, L.; Nybo, M.; Poulsen, M.K.; Henriksen, J.E.; Dahl, J.; Rasmussen, L.M. Plasma calprotectin and its association with cardiovascular disease manifestations, obesity and the metabolic syndrome in type 2 diabetes mellitus patients. BMC Cardiovasc. Disord. 2014, 14, 196. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Malham, M.; Carlsen, K.; Riis, L.; Paerregaard, A.; Vind, I.; Fenger, M.; Wewer, V. Plasma calprotectin is superior to serum calprotectin as a biomarker of intestinal inflammation in ulcerative Colitis. Scand. J. Gastroenterol. 2019, 54, 1214–1219. [Google Scholar] [CrossRef] [PubMed]
  53. Urban, C.F.; Ermert, D.; Schmid, M.; Abu-Abed, U.; Goosmann, C.; Nacken, W.; Brinkmann, V.; Jungblut, P.R.; Zychlinsky, A. Neutrophil extracellular traps contain calprotectin, a cytosolic protein complex involved in host defense against Candida albicans. PLoS Pathog. 2009, 5, e1000639. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Arroyo, A.B.; de los Reyes-García, A.M.; Rivera-Caravaca, J.M.; Valledor, P.; García-Barberá, N.; Roldan, V.; Vicente, V.; Martínez, C.; González-Conejero, R. miR-146a regulates neutrophil extracellular trap formation that predicts adverse cardiovascular events in patients with atrial fibrillation. Arterioscler. Thromb. Vasc. Biol. 2018, 38, 892–902. [Google Scholar] [CrossRef] [Green Version]
  55. Vincent, D.; Klinke, M.; Eschenburg, G.; Trochimiuk, M.; Appl, B.; Tiemann, B.; Bergholz, R.; Reinshagen, K.; Boettcher, M. NEC is likely a NETs dependent process and markers of NETosis are predictive of NEC in mice and humans. Sci. Rep. 2018, 8, 12612. [Google Scholar] [CrossRef] [Green Version]
  56. Du, P. Neutrophil-Lymphocyte Ratio is a Predictor of Venous Thromboembolism in Gastric Cancer Patients. Clin. Lab. 2019, 65. [Google Scholar] [CrossRef]
  57. Seo, W.W.; Park, M.S.; Kim, S.E.; Lee, J.H.; Park, D.G.; Han, K.R.; Oh, D.J.; Hyon, M.S. Neutrophil-Lymphocyte Ratio as a Predictor of Venous Thromboembolism after Total Knee Replacement. J. Knee Surg. 2019. [Google Scholar] [CrossRef]
  58. Kuplay, H.; Erdogan, S.B.; Bastopcu, M.; Arslanhan, G.; Baykan, D.B.; Orhan, G. The neutrophil-lymphocyte ratio and the platelet-lymphocyte ratio correlate with thrombus burden in deep venous thrombosis. J. Vasc. Surg. Venous Lymphat. Disord. 2020, 8, 360–364. [Google Scholar] [CrossRef]
  59. Farah, R.; Nseir, W.; Kagansky, D.; Khamisy-Farah, R. The role of neutrophil-lymphocyte ratio, and mean platelet volume in detecting patients with acute venous thromboembolism. J. Clin. Lab. Anal. 2020, 34, e23010. [Google Scholar] [CrossRef] [Green Version]
  60. Zhao, L.; Dai, Q.; Chen, X.; Li, S.; Shi, R.; Yu, S.; Yang, F.; Xiong, Y.; Zhang, R. Neutrophil-to-Lymphocyte Ratio Predicts Length of Stay and Acute Hospital Cost in Patients with Acute Ischemic Stroke. J. Stroke Cerebrovasc. Dis. 2016, 25, 739–744. [Google Scholar] [CrossRef]
  61. Xue, J.; Huang, W.; Chen, X.; Li, Q.; Cai, Z.; Yu, T.; Shao, B. Neutrophil-to-Lymphocyte Ratio Is a Prognostic Marker in Acute Ischemic Stroke. J. Stroke Cerebrovasc. Dis. 2017, 26, 650–657. [Google Scholar] [CrossRef] [PubMed]
  62. Bonaventura, A.; Montecucco, F.; Dallegri, F.; Carbone, F.; Luscher, T.F.; Camici, G.G.; Liberale, L. Novel findings in neutrophil biology and their impact on cardiovascular disease. Cardiovasc. Res. 2019, 115, 1266–1285. [Google Scholar] [CrossRef] [PubMed]
  63. Bonaventura, A.; Carbone, F.; Liberale, L.; Mach, F.; Roth, A.; Burger, F.; Pende, A.; Vecchie, A.; Bertolotto, M.; Spinella, G.; et al. Platelet-to-lymphocyte ratio at the time of carotid endarterectomy is associated with acute coronary syndrome occurrence. J. Cardiovasc. Med. 2020, 21, 80–82. [Google Scholar] [CrossRef] [PubMed]
  64. Naess, I.A.; Christiansen, S.C.; Romundstad, P.; Cannegieter, S.C.; Rosendaal, F.R.; Hammerstrom, J. Incidence and mortality of venous thrombosis: A population-based study. J. Thromb. Haemost. 2007, 5, 692–699. [Google Scholar] [CrossRef] [PubMed]
  65. Ducroux, C.; Di Meglio, L.; Loyau, S.; Delbosc, S.; Boisseau, W.; Deschildre, C.; Ben Maacha, M.; Blanc, R.; Redjem, H.; Ciccio, G.; et al. Thrombus Neutrophil Extracellular Traps Content Impair tPA-Induced Thrombolysis in Acute Ischemic Stroke. Stroke 2018, 49, 754–757. [Google Scholar] [CrossRef] [PubMed]
  66. Laridan, E.; Denorme, F.; Desender, L.; Francois, O.; Andersson, T.; Deckmyn, H.; Vanhoorelbeke, K.; De Meyer, S.F. Neutrophil extracellular traps in ischemic stroke thrombi. Ann. Neurol. 2017, 82, 223–232. [Google Scholar] [CrossRef]
  67. Xu, J.; Zhang, X.; Pelayo, R.; Monestier, M.; Ammollo, C.T.; Semeraro, F.; Taylor, F.B.; Esmon, N.L.; Lupu, F.; Esmon, C.T. Extracellular histones are major mediators of death in sepsis. Nat. Med. 2009, 15, 1318–1321. [Google Scholar] [CrossRef] [Green Version]
  68. Allam, R.; Kumar, S.V.; Darisipudi, M.N.; Anders, H.J. Extracellular histones in tissue injury and inflammation. J. Mol. Med. 2014, 92, 465–472. [Google Scholar] [CrossRef]
  69. Mezzano, D.; España, F.; Panes, O.; Medina, P.; Pais, E.; Marshall, G.; Tagle, R.; Downey, P.; Cáceres, S.; González, F.; et al. Increased activation of protein C, but lower plasma levels of free, activated protein C in uraemic patients: Relationship with systemic inflammation and haemostatic activation. Br. J. Haematol. 2001, 113, 905–910. [Google Scholar] [CrossRef]
  70. Cattaneo, M.; Franchi, F.; Zighetti, M.L.; Martinelli, I.; Asti, D.; Mannucci, P.M. Plasma levels of activated protein C in healthy subjects and patients with previous venous thromboembolism: Relationships with plasma homocysteine levels. Arterioscler. Thromb. Vasc. Biol. 1998, 18, 1371–1375. [Google Scholar] [CrossRef] [Green Version]
  71. Martos, L.; Ramón, L.A.; Oto, J.; Fernández-Pardo, A.; Bonanad, S.; Cid, A.R.; Gruber, A.; Griffin, J.H.; España, F.; Navarro, S.; et al. α2-Macroglobulin is a significant in vivo inhibitor of activated protein C and low APC:α2M levels are associated with venous thromboembolism. Thromb. Haemost. 2018, 118, 630–638. [Google Scholar] [CrossRef] [PubMed]
  72. Vecht, L.; Zuurbier, S.M.; Meijers, J.C.M.; Coutinho, J.M. Elevated factor VIII increases the risk of cerebral venous thrombosis: A case-control study. J. Neurol. 2018, 265, 1612–1617. [Google Scholar] [CrossRef] [PubMed]
  73. Kessenbrock, K.; Krumbholz, M.; Schonermarck, U.; Back, W.; Gross, W.L.; Werb, Z.; Grone, H.J.; Brinkmann, V.; Jenne, D.E. Netting neutrophils in autoimmune small-vessel vasculitis. Nat. Med. 2009, 15, 623–625. [Google Scholar] [CrossRef] [PubMed]
  74. Bonaventura, A.; Vecchié, A.; Abbate, A.; Montecucco, F. Neutrophil Extracellular Traps and Cardiovascular Diseases: An Update. Cells 2020, 9. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Medina, P.; Navarro, S.; Estellés, A.; Vayá, A.; Bertina, R.M.; España, F. Influence of the 4600A/G and 4678G/C polymorphisms in the endothelial protein C receptor (EPCR) gene on the risk of venous thromboembolism in carriers of factor V Leiden. Thromb. Haemost. 2005, 94, 389–394. [Google Scholar] [CrossRef] [PubMed]
Ijms 21 05651 g001 550
Figure 1. Levels of each neutrophil activation marker in plasma of the clinical groups studied (lower extremity VTE, SVT, and healthy controls). (A) cfDNA levels. (B) calprotectin levels. (C) myeloperoxidase levels. In each graph the median concentration of the marker studied is represented as a dark line. The lower and upper lines of each box represent the first and third quartile, respectively. The length of the whiskers indicates 1.5 interquartile ranges. The observations are represented as circles. Differences in the levels of each neutrophil activation marker between patients and controls were analyzed with linear regression models. All experiments were performed in duplicate. Results were considered statistically significant at p < 0.05. All statistical analyses were performed using R (version 3.5.1). VTE, lower extremity venous thromboembolism; SVT, splanchnic vein thrombosis.
Figure 1. Levels of each neutrophil activation marker in plasma of the clinical groups studied (lower extremity VTE, SVT, and healthy controls). (A) cfDNA levels. (B) calprotectin levels. (C) myeloperoxidase levels. In each graph the median concentration of the marker studied is represented as a dark line. The lower and upper lines of each box represent the first and third quartile, respectively. The length of the whiskers indicates 1.5 interquartile ranges. The observations are represented as circles. Differences in the levels of each neutrophil activation marker between patients and controls were analyzed with linear regression models. All experiments were performed in duplicate. Results were considered statistically significant at p < 0.05. All statistical analyses were performed using R (version 3.5.1). VTE, lower extremity venous thromboembolism; SVT, splanchnic vein thrombosis.
Ijms 21 05651 g001
Ijms 21 05651 g002 550
Figure 2. Conditional effects plots that depict the variation of the thrombotic risk according to the values of each neutrophil activation marker studied. (A) cfDNA. (B) Calprotectin. (C) Myeloperoxidase. These conditional effects plots reveal how the risk of VTE varies dynamically with the increase in the levels of each neutrophil activation marker studied, according to the fitted logistic regression models. As a result, the probability of VTE of a given individual is more accurately estimated for every concentration of the marker studied given that the VTE risk is not estimated by distributing the levels of the marker in several ranges, e.g., like quartiles or percentiles. The solid line represents the average and the shaded area represents the 95% CI values.
Figure 2. Conditional effects plots that depict the variation of the thrombotic risk according to the values of each neutrophil activation marker studied. (A) cfDNA. (B) Calprotectin. (C) Myeloperoxidase. These conditional effects plots reveal how the risk of VTE varies dynamically with the increase in the levels of each neutrophil activation marker studied, according to the fitted logistic regression models. As a result, the probability of VTE of a given individual is more accurately estimated for every concentration of the marker studied given that the VTE risk is not estimated by distributing the levels of the marker in several ranges, e.g., like quartiles or percentiles. The solid line represents the average and the shaded area represents the 95% CI values.
Ijms 21 05651 g002
Table
Table 1. Clinical characteristics of the study subjects
Table 1. Clinical characteristics of the study subjects
Clinical CharacteristicsPatientsControls
Lower Extremity VTESVTTotal
N (% of total)192 (68.6)61 (21.8)253249
Age, y45 (36, 55)58 (46, 66)47 (37, 60)41 (32, 55)
Age at first onset, y42 (33, 51)53 (38, 61)42 (34, 53)----
Male sex, N (%)106 (55.2)47 (77.0)153 (60.5)117 (47.0)
Recurrent thrombosis, N (%)57 (29.7)6 (9.8)63 (24.9)----
Familial thrombosis, N (%)69 (35.9)20 (32.8)89 (35.2)---
Spontaneous thrombosis, N (%)48 (25.0)3 (4.9)51 (20.2)----
Leukocytes, × 109/L6.4 (5.3, 7.4)4.6 (3.6, 5.5)5.9 (4.8, 7.1)6.4 (5.5, 7.9)
Neutrophils, × 109/L3.5 (2.9, 4.3)2.6 (2.1, 3.3)3.2 (2.5, 4.1)3.7 (3.0, 4.6)
Monocytes, × 109/L0.5 (0.4, 0.6)0.5 (0.4, 0.7)0.5 (0.4, 0.6)0.5 (0.4, 0.6)
Eosinophils, × 109/L0.15 (0.10, 0.22)0.13 (0.08, 0.24)0.15 (0.10, 0.23)0.18 (0.10, 0.21)
Basophils, × 109/L0.01 (0.00, 0.03)0.01 (0.00, 0.02)0.01 (0.00, 0.03)0 (0.00, 0.02)
Lymphocytes, × 109/L1.90 (1.53, 2.34)1.12 (0.78, 1.53)1.71 (1.23, 2.20)2.10 (1.71, 2.60)
Platelets, × 109/L223 (188, 257)97 (67, 153)205 (143, 248)238 (204, 276)
Neutrophil-to- lymphocyte ratio1.81 (1.44, 2.35)2.26 (1.64, 3.41)1.90 (1.46, 2.52)1.68 (1.33, 2.24)
FV Leiden, N (%)
-/-166 (86.5)59 (96.7)225 (88.9)244 (98.0)
+/- & +/+ 25 & 1 (13.5)2 & 0 (3.3)27 & 1 (10.0)4 & 1 (2.0)
PT g.20210G>A, N (%)
GG176 (91.7)57 (93.4)233 (92.1)236 (94.8)
GA & AA16 & 0 (8.9)4 & 0 (6.6)20 & 0 (7.9)13 & 0 (5.2)
Continuous variables are displayed as median and interquartile range. Categorical variables are displayed as count and percentage.
Table
Table 2. Levels of APC, sEPCR, and sTM (median and 25th−75th percentile) in lower extremity VTE patients and controls according to PROCR haplotypes and the THBD c.1418C>T polymorphism. The association of APC, sEPCR, and sTM with VTE were assessed comparing the levels of each marker between the two clinical groups using the Wilcoxon–Mann–Whitney test and differences within the groups were assessed using the Kruskal–Wallis test. All samples were measured in duplicate. Results were considered statistically significant at p < 0.05. All statistical analyses were performed using R (version 3.5.1).
Table 2. Levels of APC, sEPCR, and sTM (median and 25th−75th percentile) in lower extremity VTE patients and controls according to PROCR haplotypes and the THBD c.1418C>T polymorphism. The association of APC, sEPCR, and sTM with VTE were assessed comparing the levels of each marker between the two clinical groups using the Wilcoxon–Mann–Whitney test and differences within the groups were assessed using the Kruskal–Wallis test. All samples were measured in duplicate. Results were considered statistically significant at p < 0.05. All statistical analyses were performed using R (version 3.5.1).
GenotypeAPC (ng/mL)sEPCR (ng/mL)sTM (ng/mL)
nPatientsnControlsM-W Test pnPatientsnControlsM-W Test pnPatientsnControlsM-W Test p
All981.05 (0.83–1.23)1531.25 (1.08–1.60)<0.000194102.0 (84.0–122.0)153100.0 (82.0–130.0)0.7720534.16 (3.69–4.73)1293.77 (3.33–4.44)0.0205
HxHx200.91 (0.68–1.07)321.10 (0.90–1.53)0.02291980.0 (70.0–100.0)3287.0 (73.5–106.5)0.4770124.17 (3.62–4.55)283.92 (3.50–4.70)0.7455
HxH1401.09 (0.95–1.23)601.26 (1.15–1.52)<0.00013894.5 (85.5–112.0)6096.0 (81.0–112.5)0.8354254.08 (3.37–4.42)523.76 (3.23–4.41)0.2534
H1H1201.23 (1.15–1.44)321.31 (1.11–1.72)0.547220100.5 (86.5–116.0)3290.5 (80.5–111.5)0.480684.29 (3.95–4.84)263.72 3.07–4.34)0.0490
K-W test p 0.0004 0.0482 0.0171 0.2222 0.5129 0.4800
H1H370.97 (0.89–1.03)201.29 (1.10–1.72)0.00266260.0 (234.0–294.0)20251.5 (208.5–281.0)0.583855.90 (3.59–6.25)173.84 (3.43–4.54)0.1367
HxHx200.91 (0.68–1.07)321.10 (0.90–1.53)0.02291980.0 (70.0–100.0)3287.0 (73.5–106.5)0.4770124.17 (3.62–4.55)283.92 (3.49–4.70)0.7455
HxH370.79 (0.77–0.88)91.30 (1.09–1.83)0.00027261.0 (234.0–297.0)9215.0 (205.0–307.5)0.680613.7363.74 (3.47–4.23)--
H3H340.45 (0.20–0.75)0----4498.5 (488.5–543.0)0----25.160----
K-W test p 0.0008 -- <0.0001 -- 0.3450 --
c.1418CC451.03 (0.83–1.28)991.24 (1.07–1.60)0.000243101.0 (80.0–122.0)99101.0 (82.0–160.0)0.3928434.27 (3.85–4.82)873.82 (3.51–4.50)0.0495
c.1418CT101.05 (0.95–1.37)431.29 (1.09–1.62)0.06739109.0 (93.0–175.5)43100.0 (82.0–115.0)0.281884.00 (3.44–4.27)333.80 (3.32–4.48)0.8051
c.1418TT11.23101.29 (1.16–1.66)--181.01092.5 (68.0–154.0)--12.4793.00 (2.60–3.45)--
K-W test p 0.6866 0.7600 0.4530 0.5174 0.1338 0.0032
x ≠ 1 and 3. APC indicates activated protein C; M-W, Mann–Whitney U; K–W, Kruskal–Wallis; sEPCR, soluble endothelial protein C receptor; sTM, soluble thrombomodulin.

Share and Cite

MDPI and ACS Style

Martos, L.; Oto, J.; Fernández-Pardo, Á.; Plana, E.; Solmoirago, M.J.; Cana, F.; Hervás, D.; Bonanad, S.; Ferrando, F.; España, F.; et al. Increase of Neutrophil Activation Markers in Venous Thrombosis—Contribution of Circulating Activated Protein C. Int. J. Mol. Sci. 2020, 21, 5651. https://doi.org/10.3390/ijms21165651

AMA Style

Martos L, Oto J, Fernández-Pardo Á, Plana E, Solmoirago MJ, Cana F, Hervás D, Bonanad S, Ferrando F, España F, et al. Increase of Neutrophil Activation Markers in Venous Thrombosis—Contribution of Circulating Activated Protein C. International Journal of Molecular Sciences. 2020; 21(16):5651. https://doi.org/10.3390/ijms21165651

Chicago/Turabian Style

Martos, Laura, Julia Oto, Álvaro Fernández-Pardo, Emma Plana, María José Solmoirago, Fernando Cana, David Hervás, Santiago Bonanad, Fernando Ferrando, Francisco España, and et al. 2020. "Increase of Neutrophil Activation Markers in Venous Thrombosis—Contribution of Circulating Activated Protein C" International Journal of Molecular Sciences 21, no. 16: 5651. https://doi.org/10.3390/ijms21165651

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop