Red blood cell-derived phosphatidylserine positive extracellular vesicles are associated with past thrombotic events in patients with systemic erythematous lupus.

BACKGROUND: Extracellular vesicles (EVs) released by blood cells have proinflammation and procoagulant action. Patients with systemic lupus erythematosus (SLE) present high vascular inflammation and are prone to develop cardiovascular diseases. Therefore, we postulated that the EV populations found in blood, including platelet EVs (PEVs) and red blood cell EVs (REVs), are associated with SLE disease activity and SLE-associated cardiovascular accidents.
METHOD: We assessed autotaxin (ATX) plasma levels by ELISA, the platelet activation markers PAC1 and CD62P, ATX bound to platelets and the amounts of plasma PEVs and REVs by flow cytometry in a cohort of 102 patients with SLE, including 29 incident cases of SLE and 30 controls. Correlation analyses explored the associations with the clinical parameters. RESULT: Platelet activation markers were increased in patients with SLE compared with healthy control, with the marker CD62P associated with the SLE disease activity index (SLEDAI). The incident cases show additional associations between platelet markers (CD62P/ATX and PAC1/CD62P) and the SLEDAI. Compared with controls, patients with SLE presented higher levels of PEVs, phosphatidylserine positive (PS+) PEVs, REVs and PS+ REVs, but there is no association with disease activity. When stratified according to the plasma level of PS+ REVs, the group of patients with SLE with a high level of PS+ REVs presented a higher number of past thrombosis events and higher ATX levels.
CONCLUSION: Incident and prevalent forms of SLE cases present similar levels of platelet activation markers, with CD62P correlating with disease activity. Though EVs are not associated with disease activity, the incidence of past thrombotic events is higher in patients with a high level of PS+ REVs. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Patients with systemic lupus erythematosus (SLE) show high levels of platelet-derived vesicles, and the platelet activation marker CD62P is positively associated with disease activity in SLE.

Patients with SLE show high levels of erythrocyte-derived vesicles.

A high level of phosphatidylserine positive (PS+) erythrocyte-derived vesicles correlates with elevated levels of platelet-derived and erythrocyte-derived vesicles.

Plasma autotaxin is higher in patients with SLE with a high level of PS+ extracellular vesicles (EVs), and past thrombotic events are positively associated with a high level of PS+ erythrocyte-derived vesicles.

The data suggest that a high plasma level of PS+ red blood cell EVs is a potential biomarker for managing the risk of thrombotic events in individuals with SLE.

Introduction

Systemic lupus erythematosus (SLE) is a systemic autoimmune rheumatic disease (SARD). Patients with SLE present a wide range of clinical phenotypes. One characteristic of SLE is a high vascular inflammation associated with damages in multiple organs.1 Patients with SLE have a higher risk of dying from cardiovascular diseases.2 The vascular inflammation associated with SLE development relates to an immune response to autoantigens3 4 and a production of type I interferon.5–7

Platelet activation also induces the liberation of extracellular vesicles (EVs).8 EVs are small vesicles liberated by activated cells. The EVs include exosomes and microvesicles. The fusion of multivesicular bodies with the plasma membrane releases the exosomes. Plasma membrane budding generates the microvesicles, which often occurs after cell loss of the membrane phospholipid asymmetry. Some EVs formed after the loss of the plasma membrane asymmetry present the phosphatidylserine (PS) at their surface. EVs from platelets (PEVs) and red blood cells (REVs) can, through the exposition of PS, recruit mediators of the coagulation cascade and initiate the formation of a blood clot.9–11 Patients with SLE present higher levels of platelet activation markers and platelets are a source of autoantigen, notably by the release of free mitochondria.8 12 Patients with SLE have increased circulating levels of EVs, notably from platelet origin,13 14 that serve as a source for interferon-α production and binding sites for immune complexes.15–17 The exosomes are also associated with enhanced proinflammatory cytokine and chemokine production notably type I interferon in SLE.15 16 18

PEVs are the largest EV population in the blood, which are found in higher amounts in the plasma of patients with SLE. However, besides that PEVs are a source of autoantigens and bind immune complexes, there is little knowledge on their role in SLE.14 19 In some studies, there was an association between PEVs and the SLE disease activity index (SLEDAI),14 but no association was reported in others.20 However, PEVs were associated with the progression of atherosclerosis in patients with SLE through the thickening of the vascular wall.19

Platelet activation also releases autotaxin (ATX), a phospholipase with proinflammatory properties. ATX is associated with the pathophysiology of rheumatoid arthritis and cardiovascular diseases.21–23 ATX catalyses the production of lysophosphatidic acid (LPA), one of the few known activators of red blood cells which induce the liberation of REVs.24 25 Patients with SLE are more at risk to suffer from cardiovascular diseases, a leading cause of death for patients with SLE. EVs and platelet activation are factors in the development of cardiovascular diseases in SLE and other autoimmune diseases. PEVs and REVs have proinflammatory and procoagulant activities.9 10 26–28 Since patients with SLE have a high level of plasma EVs, we focused our study on PEVs and REVs, the two most abundant EV populations found in the blood, and the associated vascular events.

Material and methods

Patients with SLE and healthy donors

SARD-BDB (Systemic Autoimmune Rheumatic Disease biobank and database repository of the CHU de Québec-Université Laval) recruited prevalent patients with SLE with a disease duration superior to 15 months and incident patients with SLE with a disease duration equal or under 15 months. The inclusion of patients with SLE into the biobank was according to the 1997 revised American College of Rheumatology (ACR) classification criteria.29 30 In total, we included 102 patients with SLE in our study based on the patients with SLE available at the date of February 2019. We did not apply additional criteria for selecting patients. A control group formed by 30 healthy donors, under no medication and without known illness, was also recruited by SARD-BDB (mean age 50±8 years, female 63.33%).

SARD-BDB protocol

The SARD-BDB provided the plasma and platelet-free plasma (PFP) from patients with SLE. The PFP was processed using previously described standardised protocols.12 Aliquots of the PFP samples were prepared and stored at −80°C to limit thaw-freezing cycles. Patients included in the study gave informed written consent according to the declaration of Helsinki. Patients with SLE had to meet the ACR classification criteria for SLE revised in 1997.29 30 Antiphospholipid syndrome (APS) was diagnosed according to the 2006 revised Sapporo criteria.31 Variables were collected at the time of the first visit to the SARD-BDB including, sociodemographic variables, disease characteristics, clinical variables, common haematology tests, cardiovascular and thrombosis risk factors and current use of medication. The following cut-off for positivity were used for anticardiolipin and anti-β2 glycoprotein I antibodies. For IGM and IGG against cardiolipin, patients were considered normal with value under 10 U/mL, abnormal when they were higher than 40 U/mL and equivocal for other values. For IGM and IGG against β2 Glycoprotein I, patients were considered normal with value under 7 U/mL, abnormal when higher than 10 U/mL, and equivocal for other values.

Flow cytometry

Detection of platelet activation

Platelet-rich plasma was prepared immediately following blood sample collection and used for monitoring platelet activation markers. Five µL of platelet-rich plasma were incubated 30 min at room temperature in the dark with 3 µL of anti-CD41-V450 (BD Bioscience Canada, Mississauga, Ontario, Canada), a marker of platelets, 15 µL of anti-CD62P-APC and 15 µL of anti-PAC1-FITC (BD Bioscience Canada, Mississauga, Ontario, Canada) and anti-ATX (BD Bioscience Canada, Mississauga, Ontario, Canada) in 100 µL of phosphate buffered saline(PBS). The samples were mixed with 400 µL of PBS to stop labelling and analysed using a high sensitivity flow cytometer BD Canto II Special Order Research Product with the gating strategy described in online supplemental figure 1A. The flow cytometer settings were as follows: FSC at 300 V, SSC at 335 V, Pacific blue at 500 V, FITC at 500 V, PE at 500 V and APC at 500 V.

Detection of plasma EVs

Five µL of PFP were incubated for 30 min at room temperature and in the dark with 3 µL anti-CD41-V450 (BD Bioscience Canada, Mississauga, Ontario, Canada), a marker for platelet-derived EVs, and with 3 µL anti-CD235a-PECy7 (BD Bioscience Canada, Mississauga, Ontario, Canada) to label the REVs. To detect PS exposed on the outer membrane leaflet, we added 3 µL Annexin V FITC (BD Bioscience Canada, Mississauga, Ontario, Canada) to the plasma samples in 100 µL final Annexin V binding buffer (BD Bioscience Canada, Mississauga, Ontario, Canada). The samples were mixed with Annexin V binding buffer (200 µL) to stop labelling and processed under 90 min on a high sensitivity flow cytometer BD Canto II Special Order Research Product with a small particle option as previously described.32 Online supplemental figure 1B shows the gating strategy for the detection of plasma PEVs and REVs. Silica particles of 100, 500 and 1000 nm (Kisker Biotech GmbH, Steinfurt, Germany) allowed to set up a gate differentiating the events of size between 100 and 1000 nm (online supplemental figure 1C). The flow cytometer settings were as follows: FSC at 300 V, SSC at 300 V, PECy7 at 500 V, FITC at 500 V and APC at 500 V. To determine the absolute amounts of REVs and PEVs in the samples, we added known concentrations of 2 µm APC polystyrene beads (BD Bioscience Canada, Mississauga, Ontario, Canada) or 3 µm polystyrene beads (Polysciences, Pennsylvania, USA).

Specificity of EV detection was validated by destroying EVs from the sample by Triton X-100 treatment or pelleting EVs by a 100 000 g ultracentrifugation (online supplemental figure 1D). Labelling in EDTA-supplemented buffer and absence of annexin V buffer was used to validate the specificity of Annexin V labelling (online supplemental figure 1E). Finally, a coincidence test validated that our measurements of PEVs and REVs were quantitative (online supplemental figure 1F, G).

Every day before monitoring platelets activation markers and plasma EVs, a test of performance tracking of high sensitivity flow cytometry was done using BD cytometer setup and tracking beads (BD Bioscience Canada, Mississauga, Ontario, Canada).

Autotaxin measurement

Plasma concentrations of ATX (ng/mL) were quantified using a Human ENPP-2/Autotaxin Quantikine ELISA Kit (R&D Systems, Minneapolis, Minneapolis, USA) and following the manufacturer instructions.

Analysis and statistics

Flow cytometry data analysis used the FlowJo V10 software (FlowJo, Oregon, USA) and the statistical analysis used the GraphPad Prism 7.0 software (GraphPad Software, San Diego, USA) and SAS V.9.4 (SAS Institute, Cary, North Carolina, USA). Comparisons between groups used the Kruskal-Wallis tests with Dunn’s multiple comparison post-test or the Wilcoxon Mann Whitney test for continuous variables, depending on the number of groups. The exact Pearson χ² test was used to compare groups for categorical variables. Spearman’s correlation coefficient (rs) determined the association between continuous variables. Only variables monitored at the first visit (baseline) were considered for the analyses.

Results

Patient characteristics

The characteristics at baseline of the 102 patients with SLE included in the cohort are presented in table 1. For 29 of 102 patients, the SLE diagnosis was 15 months or less before their inclusion in the cohort. These patients that started their treatments recently and had not their SLE under control were considered incident cases. The characteristics of the prevalent and incident cases are detailed in online supplemental table 1). SLE prevalent cases were the patients diagnosed for more than 15 months. Women represented 83% of all SLE cases. About a quarter of the patients had thrombocytopaenia (23.5%). Patients with SLE with renal disorders and APS represented 24.5% and 15.7% of the SLE cohort, respectively. The prevalence of past thrombotic events in the SLE cohort was 11.8%. Furthermore, 30 patients had atherosclerosis plaques, and 42 had no plaques (table 1). The anticoagulant drugs such as aspirin and warfarin were used by 26.47% and 9.80% of patients with SLE, respectively. Neither the use of anticoagulant drugs nor of antimalarials was associated with platelet and EV readouts.

Table 1

Characteristics for patients with SLE (n=102) included in the study at baseline

Demographics	Mean±SD or N (%)
Age, years	49.98±14.58
Gender, female	85 (83.33)
BMI	25.49±4.66
Disease duration, years, n=98	10.63±12.07
Onset
Incident	29 (28.43)
Prevalent	73 (71.57)
APS	16 (15.69)
Diabetes	3 (2.94)
Dyslipidaemia	8 (7.84)
ACR criteria n=99	n (%)
Arthritis	79 (77.45)
Thrombocytopaenia	24 (23.53)
Malar rash	26 (25.49)
Discoid rash	18 (17.65)
Haemolytic anaemia	4 (3.92)
Renal disorder	25 (24.51)
Medication	n (%)
NSAID/Cox-II inhibitors	25 (24.51)
Antimalarials	77 (75.49)
Immunomodulators	86 (84.31)
Methotrexate	16 (15.69)
Biologic agents	7 (6.86)
Steroids	22 (21.57)
Other DMARD	28 (27.45)
Prednisone	21 (20.59)
Clinical characteristics	Mean±SD or n (%)
SLEDAI, n=99	3.07±3.70
Platelet, 109 /L, n=101	227.20±74.91
MPV, fL, n=101	8.92±6.10
Haemoglobin, g/L, n=101	129.34±12.29
CRP, mg/L, n=82	4.47±7.25
ESR, mm/hour, n=94	13.55±16.55
Lupus anticoagulant, n=89	10.78 (11)
Anticardiolipin IGG, n=87
Equivocal	2 (2.30)
Abnormal	13 (14.94)
Anticardiolipin IGM, n=87
Equivocal	1 (1.15)
Abnormal	12 (13.79)
Anti-β2GPI IGG, n=97
Abnormal	8 (9.20)
Anti-β2GPI IGM, n=87
Abnormal	15 (17.24)
Cardiovascular damages	Mean±SD or n (%)
History of thrombosis*
Venous	7 (6.86)
Arterial	4 (3.92)
Microcirculation	1 (0.98)
Plaque, n=72	30 (29.41)
CIMT, mm, n=35	0.62±0.12

Antimalarials include hydroxychloroquine and chloroquine

*The numbers refer to the number of patients, not to the number of past cardiovascular events.

ACR, American college of rheumatology; APS, antiphospholipid syndrome; BMI, body mass index; CIMT, carotid intima-media thickness; CRP, C reactive protein; DMARD, disease modifying antirheumatic drug; ESR, erythrocyte sedimentation rate; MPV, mean platelet volume; NSAID, nonsteroidal anti-inflammatory drug; SD, standard deviation; SLEDAI, SLE disease activity index.

Patients with SLE present higher platelet activation and plasma EV levels at baseline

When all the prevalent and the incident cases were considered at baseline, patients with SLE present a higher percentage of platelet with the activation marker PAC1 and CD62P by comparison to healthy controls (table 2). In addition, a higher number of platelets were positive for the phospholipase ATX (table 2). ATX is known to be secreted by and bind the integrins of activated platelets.33–35 However, the total ATX plasma level was not different between the SLE and the healthy group (table 2). The plasma of patients with SLE shows high levels of platelet-derived and RBC-derived EVs, including those exposing PS at their surface (table 2). Furthermore, 79.3% of the plasma PEVs and 23.6% of the plasma REVs were PS+ in the control group, and this proportion increased respectively to 87.8% and 45.4% in the SLE cohort.

Table 2

High platelet activation and EV levels are found in patients with SLE at baseline

	Healthy	SLE	Pvalue
	(n=30)	(n=98)
ATX, ng/mL	257.8 (219.9; 340.1)	251.4 (199.1; 333.9)	0.2442
Platelet, %	(n=30)	(n=40)
PAC1+	3.65 (1.10; 8.50)	7.85 (2.88; 15.75)	0.0140
PAC1+ ATX+	0.60 (0.20; 1.00)	1.90 (0.60; 4.30)	0.0042
CD62P+	2.35 (1.70; 4.30)	5.55 (2.33; 9.53)	0.0059
CD62P+ ATX+	0.70 (0.30; 0.80)	1.35 (0.60; 4.35)	0.0046
PAC1+ CD62P+	0.70 (0.40; 1.40)	2.00 (0.90; 4.98)	0.0006
PAC1+ CD62P+ ATX+	0.28 (0.15; 0.63)	0.85 (0.379; 3,24)	0.0020
EVs, EVs/µL	(n=30)	(n=102)
PEVs	479 (275; 1074)	3569 (1752; 7144)	<0.0001
PS+ PEVs	377 (221; 816)	3228 (1601; 6260)	<0.0001
REVs	424 (296; 603)	1936 (851; 4495)	<0.0001
PS+ REVs	91 (55; 144)	1064 (171; 2294)	<0.0001

Results are presented as median (IQR), pvalue based on Wilcoxon Mann Whitney test. Significant pvalues are in bold.

ATX, autotaxin; EV, extracellular vesicle; IQR, interquartile range; PEV, platelet EV; PS+, phosphatidylserine positive; REV, red blood cell EV; SLE, systemic lupus erythematosus; SLEDAI, SLE disease activity index.

Prevalent and incident patients with SLE show similar levels of plasma EVs and platelet activation

We investigated the difference between recently diagnosed and established cases of SLE by comparing the incident and prevalent cases (n=29 and n=73, respectively). We monitored three platelet activation markers (PAC1, CD62P and platelet-bound ATX), as well as plasma ATX levels and the amounts of platelet-derived or RBC-derived EVs including those exposing PS.

The incident SLE cases show no significant difference for the platelet activation marker PAC1 or CD62P compared with healthy control (figure 1A, B). In comparison to healthy patients, we report a significantly higher percentage of platelets exposing both the activation markers PAC1 and CD62P (figure 1C). The prevalent and the incident SLE cases did not show a significant difference for the platelet activation marker PAC1 compared with healthy controls (figure 1A). In contrast, the amounts of CD62P positive for prevalent patients (figure 1B) and PAC1-CD62P double-positive platelets for both prevalent and incident patients (figure 1C) were significantly different from the control group. Compared with healthy controls, the levels of double-positive PAC1-ATX (figure 1D), double-positive CD62P-ATX (figure 1E) and triple-positive PAC1-CD62P-ATX platelets (figure 1F) were significantly different from those of prevalent but not those of incident SLE cases. ATX plasma concentration in healthy controls, prevalent and incident SLE cases are similar (figure 1I). However, plasma EV levels in prevalent and incident cases were significantly different from those of the control group (figure 1G, H). Nevertheless, the levels of platelet activation markers and plasma EVs of the prevalent SLE were not significantly different from those of the incident SLE cases (figure 1A–F). Platelet activation is associated with the SLEDAI score in incident cases of SLE.

Figure 1

High platelet activation and EV levels are found in incident and prevalent patients with SLE at baseline. Percentage of platelets expressing activation markers PAC1 (A), CD62P (B) and the combination of PAC1 and CD62P (C) for the healthy (n=30), prevalent (n=22) and incident SLE (n=18) group. Percentage of platelets expressing ATX in combination with activation markers PAC1 (D), CD62P (E) or with both PAC1 and CD62P (F) for the healthy (n=30), prevalent (n=22) and incident SLE (n=18) group. (G) Number of plasma PEVs (G) and PS+ PEVs (H) for the healthy (n=30), prevalent (n=73) and incident SLE (n=29) group. Plasma concentration of ATX for the healthy (n=30), prevalent (n=70) and incident SLE (n=28) (I). Amounts of plasma REVs (J) and PS+ REVs (K) for the healthy (n=30), prevalent (n=73) and incident SLE (n=29) group. Data are reported as median with IQR, Kruskal-Wallis test with Dunnett post-test, *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001. ATX, autotaxin; EV, extracellular vesicle; IQR, interquartile range; PEV, platelet EV; REV, red blood cell EV; SLE, systemic lupus erythematosus.

Despite significant increases in the incident and prevalent SLE groups, there was no association between the EV populations and the SLEDAI score (table 3). Only CD62P, a marker of platelet activation, was consistently associated with a higher SLEDAI score for the incident and prevalent cases, or when we considered the whole SLE cohort patients (table 3). However, incident SLE cases show additional associations with platelet activation markers as the levels of platelets highly positive for both CD62P and ATX or CD62P and PAC1 are significantly associated with the SLEDAI score (table 3).

Table 3

Spearman correlation between the platelet activation markers, EV levels and the SLEDAI score

	All SLE			Prevalent SLE			Incident SLE
	n	rs	Pvalue	n	rs	Pvalue	n	rs	Pvalue
Plasma ATX	95	−0.17	0.0998	69	−0.17	0.1695	26	−0.18	0.3717
Platelet activation	39			22			17
PAC1+		0.09	0.5859		−0.08	0.7141		0.46	0.0646
PAC1+ ATX+		0.02	0.9032		−0.18	0.4273		0.41	0.1040
CD62P+		0.48	0.0021		0.43	0.0479		0.59	0.0127
CD62P+ ATX+		0.19	0.2492		0.03	0.8818		0.56	0.0207
PAC1+ CD62P+		0.27	0.0927		0.01	0.9790		0.65	0.0045
PAC1+ CD62P+ ATX+		0.12	0.4565		−0.04	0.8600		0.43	0.0817
PEVs	99			72			27
Total		0.06	0.5377		0.01	0.9093		0.28	0.1574
PS+		0.05	0.6389		0.00	0.9842		0.25	0.2122
REVs	99			72			27
Total		−0.07	0.4806		−0.09	0.4623		0.04	0.8275
PS+		−0.08	0.4274		−0.12	0.3166		0.16	0.4325

Significant pvalues are in bold.

ATX, autotaxin; EV, extracellular vesicle; PEV, platelet EV; PS+, phosphatidylserine positive; REV, red blood cell EV; SLE, systemic lupus erythematosus.

Higher PS+ REVs are associated with vascular damages in patients with SLE

The percentage of PS+ REVs increased from 23.6% in the control group to 45.7% for patients with SLE. In addition, we perceived a double distribution of PS+ REVs in patients with SLE (figure 1K). Next, we investigated if high PS+ REV levels in patients with SLE had clinical significance. Incident and prevalent patients with SLE did not present differences in the plasma levels of ATX, platelet activation markers and for both RBC and platelet EVs (figure 1A–K). Therefore, we choose not to distinguish between the incident and prevalent SLE cases while analysing the potential clinical implications of high plasma levels of PS+ REVs. Based on the levels of PS+ REVs, we divided the SLE cohort into two distinct groups (figure 1K). We applied a cut-off at 1000 EV/µL to distinguish the patients with a level of plasma PS+ REVs within the range of the healthy controls from those with EV concentrations superior to the cut-off. The latter were considered high plasma levels of PS+ REVs. Fifty-two patients with SLE (51%) had a plasma PS+ REV number over the cut-off level. The 50 patients with SLE with a concentration of plasma PS+ REVs lower than the cut-off were considered “low” for this biomarker.

As anticipated, the patients with SLE with a higher level of PS+ REVs also show a higher number of REVs and PEVs (total and PS+) compared with those with ‘low’ concentrations of PS+ REVs (table 4). Furthermore, the high PS+ REV levels are associated with a lower platelet count and a high level of plasma ATX (table 4). The high PS+ REV counts were not associated with the disease duration but were associated with past thrombotic events (table 4). Only two patients (4%) with low plasma PS+ REV levels had a history of venous thrombosis. Among patients with high PS+ REVs, 5 (10%) presented a history of venous thrombosis, 4 (8%) of arterial thrombosis and 1 (2%) of microcirculation thrombosis. Since patients with APS are more at risk to develop thrombosis, we performed the analyses without considering patients with SLE with APS. The incidence of past thrombotic events in the group with high PS+ REVs was still statistically higher when we excluded the patients with APS from the analyses (online supplemental table 2). In this group of patients, the plasma levels of PS+ REVs were not significantly associated with the presence of autoantibodies (table 4). Surprisingly, patients with high amounts of PS+ REVs tend to have a lower SLEDAI score, and APS incidence tended to be higher than for patients with low PS+ REV levels (table 4).

Table 4

Comparison of patients with SLE with low and high PS+ REVs

Demographic characteristics			PS+ REV
		Low	High	Pvalue
Gender	Female	44 (88)	41 (79)	0.2897
Age, years		52.00 (41.00; 62.00)	50.50 (37.50; 59.00)	0.5592
BMI		25.35 (22.43; 29.04)	23.59 (21.46; 28.50)	0.1062
Disease duration, years		7.93 (0.76; 21.64)	3.58 (1.41; 15.87)	0.1426
Onset	Incident	16 (32)	13 (25)	0.5124
	Prevalent	34 (68)	39 (75)
APS		4 (8)	12 (23)	0.0551
Clinical characteristics
SLEDAI		2.00 (0.00; 6.00)	1.50 (0.00; 4.00)	0.0776
Platelet, 109 /L		242.00 (195.00; 291.00)	202.00 (176.50; 246.00)	0.0262
MPV, fL		8.70 (8.00; 10.00)	8.90 (8.05; 9.55)	0.6992
Haemoglobin, g/L		129.00 (121.00; 137.00)	131.00 (124.00; 138.00)	0.3264
CRP, mg/L		2.90 (1.21; 3.42)	2.00 (1.00; 5.00)	0.7683
ESR, mm/hour		8.00 (4.00; 20.00)	6.00 (3.00; 14.00)	0.1674
Lupus anticoagulant	Presence	4 (10)	7 (15)	0.5374
Anticardiolipin IGG	Abnormal	3 (8)	10 (20)	0.0674
	Equivocal	2 (5)	0 (0)
Anticardiolipin IGM	Abnormal	3 (8)	9 (18)	0.1633
	Equivocal	1 (3)	0 (0)
Anti-β2GPI IGG	Abnormal	1 (3)	7 (14)	0.1306
Anti-β2GPI IGM	Abnormal	4 (11)	11 (22)	0.2521
Laboratory measurements
ATX, ng/mL		227.75 (183.10; 295.30)	274.50 (207.83; 408.73)	0.0318
PEVs, EVs/µL		2419 (1012; 4566)	4853 (2532; 8230)	0.0006
PS+ PEVs, EVs/µL		2042 (866; 4051)	4384 (2238; 7696)	0.0006
REVs, EVs/µL		842 (426; 1387)	4436 (3064; 7166)	<0.0001
ACR criteria
Arthritis		37 (76)	42 (84)	0.3262
Thrombocytopaenia		9 (18)	15 (30)	0.2414
Malar rash		17 (35)	9 (18)	0.0705
Discoid rash		11 (22)	7 (14)	0.3080
Haemolytic anaemia		3 (6)	1 (2)	0.3622
Renal disorder		12 (24)	13 (26)	1.0000
Cardiovascular damages
History of thrombosis		2 (4)	10 (19)	0.0283
Medication
NSAID/ Cox-II Inhibitors		14 (28)	11 (21)	0.4931
Prednisone		8 (16)	13 (25)	0.3299
Immunomodulators		42 (86)	44 (88)	0.7742

Continuous variables are presented as median (IQR), pvalue based on Wilcoxon Mann Whitney test. Categorical variables are presented as n (%), pvalue based on exact Pearson χ² test. Significant pvalues are in bold.

ACR, American College of Rheumatology; APS, antiphospholipid syndrome; ATX, autotaxin; BMI, body mass index; CIMT, carotid intima-media thickness; CRP, C reactive protein; DMARD, disease modifying antirheumatic drug; ESR, erythrocyte sedimentation rate; EV, extracellular vesicle; MPV, mean platelet volume; NSAID, non-steroidal anti-inflammatory drug; PEV, platelet EV; PS+, phosphatidylserine positive; REV, red blood cell EV; SLE, systemic lupus erythematosus; SLEDAI, SLE disease activity index.

We verified if the history of past thrombotic events and high plasma PS+ PEV levels were positively associated. For these analyses, we divided the SLE cohort based on the levels of PS+ PEVs. Since PS+ PEVs show a continuous distribution, contrary to PS+ REVs, we considered all patients with quantities higher than the maximum of controls as ‘high’ and the rest as ‘low’. There is no statistical difference in the incidence of past thrombotic events between the two groups. Besides, plasma ATX concentration was significantly higher in the group with a high level of PS+ PEVs (online supplemental table 3). In addition, the plasma PS+ PEV levels correlated with disease duration. The group with a high plasma PS+ PEV levels correlated with a shorter disease duration (online supplemental table 3). We further determined with Spearman rank correlation that plasma ATX concentrations correlated in patients with SLE with the quantities of PEVs and REVs (respectively, r2=0.350, pvalue=0.0004 and r2=0.272, pvalue=0.0066).

Discussion

In this study, we report on a high plasma level of REVs in patients with SLE. Furthermore, the percentage of PS+ REVs in the plasma of patients with SLE almost doubled compared with the healthy group. The patients with a high level of plasma REVs also have elevated plasma PEVs. There was no correlation between the EV levels, including those that are PS+, and the SLEDAI. About half of the patients with SLE had PS+ REV levels like the healthy controls. However, a high level of PS+ REVs was positively associated with a lower platelet concentration and a higher incidence of past thrombotic events.

A high level of platelet activation markers and plasma PEVs were reported previously in patients with SLE.36 CD62P (P-selectin) is only present on the activated platelet following the fusion of the α-granules with the plasma membrane.37 The platelet activation marker CD62P (P-selectin) is elevated in patients with SLE and is positively associated with the SLEDAI score.36 This study confirms the positive association between the number of CD62P+ platelets and disease activity. The stratification of the incident and prevalent cases of SLE did not highlight differences regarding the levels of plasma EVs, PS+ EVs and platelet activation markers. In incident SLE cases, the percentages of platelets positive for CD62P, CD62P/ATX or PAC1/ATX double-positive, and PAC1/CD32P/ATX triple-positive, were not statistically different from the healthy group. It may be due to the small number of patients with newly diagnosed SLE included in the present study. However, in the incident and prevalent cases, the SLEDAI score correlated with platelet activation as monitored by the cell surface exposure of CD62P. In incident SLE cases, we found other associations between the platelet activation markers and the SLEDAI score. Those include the CD62P/ATX and CD62P/PAC1 double-positive platelets. PAC1 monitor the activation of αIIbβ3 integrin complex in platelets38 39 Of note, the ATX stored in α-granules and released on platelet activation can bind the platelet αIIbβ3 integrin.33–35 It would suggest that the liberation of α-granule and the activated form of platelet integrins contributes to the early phase of SLE disease progression. While, at later stages, when the disease becomes chronic, only the liberation of the content of α-granule is of importance.

It was possible to divide the patients with SLE based on the levels of plasma PS+ REVs. About half of the patients had plasma levels of PS+ REVs below the threshold of 1000 REVs/µL found in healthy controls. The other half were patients with SLE with high to very high levels of PS+ REVs. The results suggest that a high amount of plasma PS+ REVs is associated with a higher incidence of past cardiovascular events. Similar analyses based on the levels of PS+ PEVs yield no significant association between a high level of PS+ PEVs and the incidence of past thrombotic events. Thus, a high amount of PS+ REVs is specifically associated with history of past cardiovascular events. A longitudinal study on incident cases with no antecedent thrombosis or cardiovascular diseases would confirm if patients with SLE with a high level of plasma PS+ REVs are more at risk of future thrombosis. REVs exposing PS+ can recruit different actors of the coagulation cascade and be a source for the generation of large quantities of thrombin.10 40 REVs are also a source of the von Willebrand factor.41 Patients with SLE with a high plasma level of PS+ REVs also show high amounts of plasma ATX. ATX is the enzyme that produces LPA.42 The binding of ATX to αIIbβ3 integrin of activated platelets enhance its catalytic activity.33 34 Though we did not monitor the plasma LPA levels, a role for LPA in RBC activation and production of PS+ REVs cannot be excluded.24 43

Recent studies highlighted a possible role for phosphatidylserine-specific phospholipase A1 in SLE physiopathogenesis.44 45 Serum levels of phosphatidylserine-specific phospholipase A1 are significantly higher in patients with SLE with high disease activity. Besides, patient treatment with immunosuppressive therapies lowered the amount of serum phosphatidylserine-specific phospholipase A.44 Serum phosphatidylserine-specific phospholipase A1 and ATX are also higher in patients with lupus nephritis.45 However, there was an inverse correlation between the levels of serum ATX and disease activity.45 Of note, we observed that patients with low plasma PS+ REV level tend to have a higher SLEDAI and lower levels of plasma ATX. The role of ATX and phosphatidylserine-specific phospholipase A1 in SLE pathophysiology is not known. Increased expression of phosphatidylserine-specific phospholipase A1 is associated with many pathological conditions, including autoimmune and cardiovascular diseases.46 Phosphatidylserine-specific phospholipase A1 can hydrolyse PS into lysoPS, and ATX can hydrolyse the lysoPS into LPA.46 On one side, long-chain lysoPS may contribute to immune cell activation, including macrophages.47 On the other side, stimulation of red blood cells with LPA induces the liberation of REVs.24 25 LPA induces the production of REVs by red blood cells in a concentration-dependent and LPA species-dependent manner through activation of LPAR3.48 Low concentrations of LPA induce the production of PS- REVs while the production of PS+ REVs by red blood cells requires concentrations of LPA ≥5 µM.48 Further studies should determine if the patients with SLE with a high plasma level of PS+ REVs and ATX also show elevated amounts of phosphatidylserine-specific phospholipase A1.

Atherosclerosis is a lead cause of cardiovascular incidents and is a known comorbidity factor in SLE.49–53 PEVs exposing PS were associated with accelerated thickening of the intima-media in patients with SLE.19 In addition, several EV populations promote the development of atherosclerosis through the recruitment of immune cells in the vascular wall and the production of cytokines.54–56 Besides, through the uptake of EVs, vascular wall infiltrated macrophages accumulate lipids and transform into foam cells.57–59 Macrophages phagocyte the PS+ EVs at a higher rate.60 Therefore, even if PS+ REVs are not associated with SLE progression, they still could be implicated in the progression of atherosclerosis and thrombotic events associated with SLE. We did not dispose of sufficient measurements to investigate a potential link between the levels of PS+ REVs and the carotid intima-media thickness test. The overtime impacts of PS+ REVs and other blood cell-derived PS+ EVs on the thickening of carotid intima-media of patients with SLE would be worth investigating in patients with SLE.

In summary, patients with SLE show a high number of plasma PEVs and REVs and high surface exposure of the platelet activation markers PAC1 and CD62P compared with controls. There are no significant differences between the incident and prevalent cases of SLE. The levels of EVs do not correlate with the SLEDAI score. However, the analyses of CD62P exposure on the platelet surface show an association with SLEDAI, consistent with the documented association between this platelet activation marker and disease activity. We divided patients into groups with low and high PS+ REV levels. The analyses show a lower platelet concentration and a higher incidence of past thrombotic events in patients with SLE with a high level of PS+ REVs. There was no association between the history of thrombosis and elevated plasma PS+ PEV levels. Further studies are required to determine if the plasma level of PS+ REVs is a potential biomarker for managing the cardiovascular risk of individuals with SLE.