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. 2022 Oct 3;21(12):103206. doi: 10.1016/j.autrev.2022.103206

COVID-19 and the antiphospholipid syndrome

Manuel Serrano a, Gerard Espinosa b, Antonio Serrano a, Ricard Cervera b,
PMCID: PMC9527199  PMID: 36195247

Abstract

Coronavirus disease 2019 (COVID-19) has resulted in a global pandemic. Most COVID-19 patients are asymptomatic or have flu-like symptoms. However, around 15% of the patients may have severe disease, including unilateral or bilateral pneumonia with acute respiratory distress syndrome and progressive hypoxemia that may require mechanical ventilation assistance. A systemic inflammatory response syndrome occurs in the most severe forms of COVID-19, with multiorgan involvement which can be life threatening caused by a cytokine storm. Although what best characterizes COVID-19 are the manifestations of the respiratory system, it has been shown that it also acts at the cardiovascular level, producing coagulation abnormalities, which causes thrombotic events mainly in the arteries/arterioles, microcirculation and venous system, and potentially increased mortality risk. This multiorgan vascular disease overlaps with other known microangiopathies, such as thrombotic microangiopathy or paroxysmal nocturnal hemoglobinuria, where complement overactivation plays an important role in the pathophysiology of thrombosis. Furthermore, coagulopathy secondary to COVID-19 occurs in the context of an uncontrolled inflammatory response, reminiscent of APS, especially in its catastrophic form. This review summarizes the current knowledge regarding the relationship between COVID-19 and the APS.

Keywords: COVID-19, Antiphospholipid syndrome, Antiphospholipid antibodies, Coagulopathy, Thrombosis

1. Introduction

Coronavirus disease 2019 (COVID-19), an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in a global pandemic. Most COVID-19 patients are asymptomatic or have flu-like symptoms [1]. However, around 15% of the patients may have severe disease, including unilateral or bilateral pneumonia with acute respiratory distress syndrome (ARDS) and progressive hypoxemia that may require mechanical ventilation assistance. A systemic inflammatory response syndrome (SIRS) occurs in the most severe forms of COVID-19, with multiorgan involvement which can be life threatening caused by a cytokine storm. Analytically, lymphopenia and marked elevation of C-reactive protein, ferritin, D-dimers, cytokines and chemokines stand out [2,3].

SIRS secondary to COVID-19 occurs in a pattern similar to, but still distinct from, the autoinflammatory macrophage activation syndrome that complicates several autoimmune diseases, such as systemic juvenile idiopathic arthritis and systemic lupus erythematosus (SLE) [[4], [5], [6]].

In some reports, >50% of hospitalized patients with moderate to severe COVID-19 have circulating autoantibodies, which opens the question whether SARS-CoV2 can produce a loss of host tolerance, triggering an autoimmune disease [7]. The deregulation of the immune response has been shown to be a key element in the unefficient responses against viruses. It is well known that cytomegalovirus, parvovirus B19, and Epstein-Barr virus (EBV) are environmental triggers of autoimmunity in genetically predisposed individuals [8]. These viruses can trigger autoimmunity through various mechanisms, such as the tendency to cause persistent infection, modulate the host's immune response by causing loss of self-tolerance producing autoreactive lymphocytes, or generating abnormal responses by molecular mimicry, superantigen activity and the stimulation of inflammatory signaling, including type I IFN production [[9], [10], [11]]. The type of organized immune response against SARS-CoV2 infection is decisive in the prognosis of the disease and, in fact, high Th2 responses are associated with a fatal outcome [12,13]. Conversely, immunomodulatory drugs, especially glucocorticoids [14], inhibitors of cytokines (or their receptors) [15], and blockers of cytokine-mediated signaling as Janus kinase (JAK) inhibitors [16,17] seem to improve survival in severe cases of COVID-19. Some clinical features of moderate to severe COVID-19 are reminiscent of those seen in autoimmune diseases such as inflammatory arthritis, SLE, antiphospholipid syndrome (APS), and anti-MDA5 syndrome [[18], [19], [20]]. In addition, there are numerous case reports of patients developing classifiable autoimmune diseases, such as rheumatoid arthritis, psoriatic arthritis, and type 1 diabetes, concomitantly with or immediately after SARS-CoV-2 infection [[21], [22], [23], [24], [25], [26]]. Furthermore, severe cases of COVID-19 can be explained by the existence of preformed autoantibodies [7]. However, work remains to be done to determine whether these antibodies are important contributors to severe disease or an epiphenomenon of marked inflammation.

2. COVID coagulopathy and imunothrombosis

What best characterizes COVID-19 are the manifestations of the respiratory system, although it has been shown that it also acts at the cardiovascular level, producing coagulation abnormalities, which causes thrombotic events mainly in the arteries/arterioles, microcirculation and venous system [27,28] and potentially increased mortality risk as a consequence [1]. These findings have also been confirmed at necropsies [29,30]. These events appear more frequently in an acute infection, but they can also occur during the convalescence [29].

The reported thromboembolic (TE) event rate in COVID-19 patients with severe disease is quite heterogeneous. The state of hypercoagulability and thromboembolic complications correlates with a more severe course of the disease, the need for admission to intensive care units (ICU), and higher risk of mortality [31]. These can be present in approximately 50% of ICU patients whose stay is two weeks or longer and were independent of whether the patients had received standard-dose thromboprophylaxis [32].

Laboratory findings confirm the existence of prothrombotic state. D-dimer, fibrin, C-reactive protein levels, lactate dehydrogenase (LDH), and moderate thrombocytopenia are usually elevated in patients affected by COVID-19 coagulopathy. Therefore, the infection constitutes an additional contributing factor that predisposes to a prothrombotic state [33].

Pulmonary microangiopathy with evidence of activated platelets, thrombi, and neutrophil extracellular traps (NETs) within vessels has been detected. In addition, infiltration of neutrophils, monocytes, and macrophages have been described in additional organs beyond the lungs, including the heart, central nervous system, and liver [27,34]. In addition to cell activation and local infiltration, there are other several mechanisms that could contribute to develop coagulopathy in SARS-CoV2 infection. Endothelial activation that stimulates Toll-like receptors, thus producing systemic inflammation, and prothrombotic state increasing levels of von Willebrand factor, and activating the tissue factor pathway [35]. In addition, there are indirect mechanisms such as decreased diffusion of gases producing ARDS and tissue hypoxia [36]. Low oxygen levels at tissues activates cellular transcriptional changes elaborating hypoxia-inducible transcription factors (HIF-1 and HIF-2) which, in turn, increases thrombin levels [37]. The infection generates a large number of apoptotic cells [38] creating a proinflammatory environment that can cause ARDS and thrombosis [39]. Therefore, the strong immune response secondary to COVID-19 infection induces expression of procoagulant factors that implies activation of complement, platelets and neutrophils, triggering coagulopathy and thrombi formation (immunothrombosis) through the pathway [40].

NETs are three-dimensional extracellular networks of decondensed chromatin, histones and antimicrobial proteins. Their function is to trap and kill microorganisms, preventing their expansion at the site of infection [41]. NETs have cytotoxic activity causing NETosis, and endothelial dysfunction [42]. In this way, NETs are amplifiers of inflammation, increasing self-antigen exposure and autoantibody production. Thus promoting the generation of aberrant immune response like autoimmune procceses [43], and long-term COVID-19 [44]. It has been demonstrated that NETs can contribute to formation of thrombi in COVID-19 patients with respiratory distress [45].

Moreover, the complement system usually plays an important role in the context of inflammation, thrombosis and activation of the innate response. Complement deposits have been reported in the lung and skin tissue that suggests systemic activation of three known complement activation pathways, classical, alternative and lectin-based complement pathways in severe disease [[46], [47], [48]]. This multiorgan vascular disease overlaps with other known microangiopathies, such as thrombotic microangiopathy (TMA) or paroxysmal nocturnal hemoglobinuria (PNH), where complement overactivation plays an important role in the pathophysiology of thrombosis [49,50]. Furthermore, coagulopathy secondary to COVID-19 occurs in the context of an uncontrolled inflammatory response, reminiscent of APS, especially in its catastrophic form [51,52].

3. APS and thrombosis [51]

APS is a systemic autoimmune disease characterized by the appearance of thrombosis and obstetric morbidity (clinical criteria) in a patient with persistently high levels of antiphospholipid antibodies (aPL).

The APS classification criteria require the coexistence of at least one clinical (thrombosis or obstetric morbidity) and one laboratory criterion (positivity of at least one aPL) [30]. The aPL included in these criteria are lupus anticoagulant (LA), anticardiolipin (aCL), and anti-β-2-glycoprotein I (aβ2GPI) antibodies of the IgG or IgM isotypes. Currently there are no defined diagnostic criteria for APS, however, the classification criteria are often used in some situations for diagnosis despite their low sensitivity. In addition, a second determination of aPL at least 12 weeks apart for confirmation to avoid false positives is required [53].

APS can be divided into 3 forms: primary APS, associated with another autoimmune disease (such as SLE), and catastrophic APS (CAPS), characterized by the generation of thrombosis in different locations in a short period of time, developing a systemic coagulopathy with a high mortality rate, a situation very similar to coagulopathy due to COVID-19 [54].

3.1. APS beyond classification criteria

APS diagnosis goes beyond classification criteria. In addition to the clinical characteristics included in the classification criteria, there are other characteristics associated to APS, even more frecuent than clinical classification criteria, such as livedo reticularis or thrombocytopenia [55]. There are also aPL not included in the classification criteria. The most known are a) anti-phosphatidylserine/prothrombin antibodies (aPS/PT), associated to with unexplained recurrent pregnancy loss [56], and thrombosis possibly due to its possible correlation with the presence of LA [57]; b) aPL directed to domain I of β2GPI (IgG) have high specificity (97.12%) for thrombosis, but their sensitivity is still moderate (64.32%) [58,59]; and c) IgA isotype aPL have also been associated with thrombotic events. Current evidence does not recommend their testing because it does not increase the diagnostic accuracy of the APS [60]. This is because IgA aCL positivity is poorly correlated to clinical manifestations. However, IgA aβ2GPI presence has been associated to thrombotic events [61] and stroke [62]. They are the most prevalent aPL (30%) in patients with end-stage organ failure (kidney or heart) where β2GPI is produced. Thrombotic events can appear even after the replacement of these organs by either cardiac or renal transplantation [63,64].

The origin of aPL remains unknown. Molecular mimicry theory suggests the influence of microbial and viral agents that goes in favour of an infectious etiology [65]. Similarities of β2GPI with some molecular structures of several microorganisms have been described [66]. This phenomenon could occur in predisposed individuals when self-tolerance mechanisms fail and produce an abnormal response because their immune system responds to their own molecular structures due to their similarity to microbial peptides [67]. Therefore, the steady state would not be restored after the resolution of the infection and the presence of autoantibodies remains.

The mechanism of thrombosis-induction by aPL is also not fully understood. Meroni et al. [68] proposed the “two hits” theory: the presence of aPL (first hit) induces a thrombophilic state, but clotting takes place only in the presence of another thrombophilic condition (second hit) that implies an activation of innate immunity, such as inflammation, infection, or surgery, is required to trigger the thrombotic event.

4. Prevalence of aPL in COVID-19 patients

Zhang et al. [69] were the first to report the presence of aPL associated to thrombotic events in three patients with COVID-19. Interestingly, IgA aPL was the most prevalent isotype.

After this finding, numerous studies were published reporting high prevalence of aPL in COVID-19 patients, and positivity for any aPL ranged between 5 and 71% (Table 1 ). This prevalence can be highly variable, depending on the type of patient cohort (severe vs non-severe patients) [70] and the aPL studied (consensus vs. extra criteria).

Table 1.

Set of studies on aPL presence in COVID-19 patients.

Author and reference Setting Study design Control group Center Patients included aPL with LA Extra criteria aPL aPL confirmation >12w aPL prevalence Clinical Association
Borghi et al. 51 NO ICU P N M 122 N Y N N/A N
Zhang Y et al. 69 ICU R N U 3 Y Y N N/A Y
Gazzaruso et al. 71 N/A R N U 192 Only LA N N 50% N
Constans et al. 72 Both P N U 211 Only LA N N 60% Y
Najim et al. 73 ICU P N U 60 Y N N 37% N
Helms et al. 74 ICU P N M 150 Only LA N N N/A Y
Pineton et al. 75 ICU R N U 25 Y N N 72% N
Siguret et al. 76 ICU P N U 74 Y N N 88% N
Bowles et al. 77 NO ICU P N U 35 Only LA N N 91% N
Trahtemberg et al. 78 ICU R Y U 22 N Y N N/A N
Galeano-Valle et al. 79 NO ICU P N U 24 N N N N/A N
Pascolini et al. 80 Both P N U 33 N N N 25% Y
Amezcua-Guerra et al. 81 ICU R N U 21 N Y N 57% N
Vollmer et al. 82 Both P N U 79 Y Y y N/A Y
Espinosa et al. 83 Both P N U 158 Y Y Y 37% N
Gil-Etayo et al. 84 Both P Y U 362 N Y Y 17% Y
Gasparini et al. 85 NO ICU R N U 173 N Y N 35% N
Le joncour et al. 86 NO ICU P N U 104 Y Y N 47% Y
Frapard et al. 87 ICU R Y U 68 Y Y N 30% N
Xiao et al. 88 Both R N U 66 Y Y N 47% Y
Cristiano et al. 90 NO ICU R Y U 92 N Y N N/A N
Lerma et al. 91 Both R Y U 64 N Y N 5% N
Gatto et al. 93 NA R Y M 122 Y Y N N/A N
Gendron et al. 94 Both P Y M 154 Y Y N N/A N
Bertin et al. 96 Both R N U 56 N N N N/A Y
Gazzaruso et al. 97 NO ICU R N U 45 Y N N N/A Y
Anaya et al. 98 NO ICU R N U 120 N N N N/A Y
Zuo et al. 99 Both R N U 172 N Y N 52% Y
Fan et al. 100 ICU R N U 86 Y Y N N/A Y
Reyes et al. 101 NO ICU R N U 68 Only LA N N N/A Y
Vlachoyiannopoulos et al. 102 ICU R N U 29 Y N N N/A N
Rosales-Castillo et al. 103 NO ICU P N U 189 Y N Y N/A N
Devreese et al. 104 ICU P N U 31 Y Y N 74% N
Atalar et al. 105 NO ICU R N U 73 Y N N 20% N
Gutierrez et al. 106 Both P N U 27 Y Y N 26% N
Previtali et al. 107 NO ICU R N U 35 N Y N N/A N
Ferrari et al. 108 Both P N U 89 Y N N 72% N
Sciascia et al. 109 NO ICU P Y U 87 Y Y Y 53% N
Tvito et al. 110 Both R N U 43 Y N N 37% N
Karahan et al. 112 ICU R Y U 31 Y Y N 26% N
Serrano et al. 122 Both P Y M 474 Y Y N 24% Y

Abbreviations: aPL: antiphopholipid antibodies, ICU: intensive care unit, LA: lupus anticoagulant; M: multicenter, N: no, N/A: not available, P: prospective, R: retrospective, U: unicenter, Y: Yes.

Regarding criteria aPL, the most prevalent was LA, present approximately in 50% of patients [[71], [72], [73]], specially among ICU patients reaching 90% [[74], [75], [76]]. Elevation of aPTT can be present in 91% of these patients [77]. When LA is not analyzed, aCL [[78], [79], [80]], or aβ2GPI [51] are the most prevalent aPL. Positivity of IgG and IgM aCL and aβ2GPI is around 15%. Double positivity can be present in 25–50% of these patients [81], most frequently associated to LA positivity [82].

Despite not being as well studied as consensus aPL, 54% of studies included in this review have determined extra-criteria aPL. Interestingly, extra-criteria aPL have been as frequently detected as consensus aPL [83], and even more prevalent in many studies [81,[84], [85], [86], [87], [88]]. However, there is great variability in the prevalence of these aPL. Prevalence of different extra-criteria aPL has been shown up to 24% for aPS/PT, [81] 19% for anti annexin A5 IgM patients [81], 33% IgA aCL [86] and 28.8% for IgA aβ2GPI [88], and their presence has been associated with more severity [89]. On the other hand, other studies reported low prevalence (<5%) of extra-criteria aPL [51,90,91].

Overall, the high aPL prevalence was confirmed in five multicenter studies [51,74,[92], [93], [94]]. Three of them included control populations (without COVID-19) to make a prevalence comparison.

Gatto et al. [93] made an aPL screening in a cohort of 122 patients, including hospitalized and home-quarantined. Despite finding high prevalence rates of 22% and 13.4% for LA and IgG aCL respectively, they found no significant differences when compared with cohorts of patients with primary APS or with other systemic autoimmune diseases.

Another study with the largest studied cohort included 474 patients, 35 of them suffered thrombotic events during follow-up. The prevalence for any aPL was 23.6% and the most prevalent aPL were IgA aβ2GPI with 15% positivity. Interestingly, no significant differences in aPL prevalence when compared with a reference population of similar age [92].

Gendron et al. [94] found a high prevalence for LA (70%); however, the prevalence of the rest of aPL is around 5%, except for IgG aPS/PT antibodies with 11% positivity, without significant differences in prevalence compared to patients without COVID-19.

The differences in prevalence of aPL observed in the numerous published studies vary depending on whether they analyze the aPL included in the classification criteria, or those not included. Diagnostic kits for criteria aPL are very well standardized, there are hardly any differences between the number of positives comparing the systems based on beads, with respect to those of solid phase. However, different detection systems for aPL not included in consensus, are very heterogeneous. Depending on the kit used, the number of positives is highly variable, especially in IgA aβ2GPI antibodies [51,95]. Studies which show low prevalence (<5%) for these aPL used this beads-based methods [51,94]. On the other hand, those studies which determined IgA aβ2GPI by solid phase-based assays, show higher prevalence levels [83,84,86,92].

5. Clinical association of aPL in COVID-19

There is not consensus about the pathogenicity of aPL during the SARS-CoV2 infection. The aPL have been observed only in critically ill patients [88], however there are many studies that report similar prevalences in patients with noncritical conditions [[84], [85], [86],96]. Some studies have described a higher prevalence of aPL in patients with higher disease severity, ICU requirement, high mortality, ARDS, and renal or ventilation failure [80,83,87,88,92,[96], [97], [98]]. Combined aPL positivity is associated with a higher incidence of ischemic stroke in a cohort in which the most prevalent aPL are IgA isotype. Furthermore, the pathogenicity of IgG aPL has been demonstrated in an animal model [99].

Fewer studies found an association between aPL and thrombotic events and stroke [82,84,86,88,100,101]. A prospective study with 361 patients showed asscociation between aPL and incidence of thrombosis in the first six months after COVID-19 (OR: 3.7, 95% CI (1.7–8.1) [84]. Other multicenter study showed association of IgG aβ2GPI to thrombotic events; however, statistical significance was not found in multivariant analysis [92].

On the other hand, most studies, despite having shown the high prevalence of aPL, did not find clinical association with severe COVID-19, thrombosis, or other manifestations related to APS [51,71,[76], [77], [78], [79],81,83,85,87,90,91,93,94,[102], [103], [104], [105], [106], [107], [108], [109], [110]].

Some authors suggest that the aPL found in COVID-19 are different from those presented by patients with APS, so these would be an epiphenomenon without pathogenicity [51]. The aPL profile was different when comparing patients with known APS and patients with aPL detected in the context of infections [109]. Domain I of β2GPI is the main immunogenic epitope targeted by aβ2GPI antibodies in APS patients because it is strongly associated with thrombosis [111]. It has been described that only 5% recognize the β2GPI domain I in COVID-19 patients with aPL positivity [51]. A multicenter study that analyzed aPL in COVID-19 patients showed that the prevalence and titers of aPL or LA were not consistently increased nor associated with thrombosis when measured at a single timepoint [93]. The aPL profile in COVID-19 patients differed from that of APS patients but was similar to those suffering from other infections [109]. In their first measurement, they found that, although 52.9% of COVID-19 patients were positive for at least one aPL (29% LA positive, 10.3% positive for 2 or more aPL), no thrombotic events were observed in these patients.

The absence of association with the clinical manifestations of APS despite the high prevalence of aPL in patients with COVID-19 could be explained by the methodology of the different studies. Most of the studies did not include control cohorts, so there was no population to compare to be able to affirm the presence of high prevalence of aPL in COVID-19. The studies which include control group (other infections, or autoimmune diseases) did not show significant differences in aPL prevalence [84,87,93,94,109], except IgG and IgM aCL (59% vs 35% and 32% vs. 10% respectively) [78], LA [112] and IgA aβ2GPI [92]. It is known that elderly patients have higher prevalence of aPL [113] and other autoantibodies such as antinuclear antibodies [114]. However, studies typically use blood donor controls, this population only comprises ages 18–65 years [92].

The aPL cut-off is very important to estimate a prevalence figure as well as a clinical association. Most of the studies carried out have used the cut-off recommended by the manufacturer. However, given the great heterogeneity of geographical areas, as indicated by the classification criteria [53], the most appropriate way to set the aPL cut-off is to perform the 99th percentile on the population studied.

Another critical factor that influences the statistical association is the number of patients included in the studies. Most studies included fewer than 50 patients; therefore, for this review studies with fewer than 25 patients were excluded. This problem makes it very difficult to establish a statistical association between aPL and APS clinical events. Strikingly, the study with the largest cohorts did show an association between the presence of aPL and thrombosis [84,92].

The aCL have been reported in the context of infectious diseases as false positives [115,116]. In addition, aPL in COVID-19 very rarely recognize domain I of β2GPI [51]. The clinical association of IgM aPL with thrombosis is quite controversial [117]. However, aPL of IgG and IgA isotypes could already be performed before infection because it involves a class switch from IgM to IgG or IgA. This process requires a latency time that can last up to 2 weeks, so it is unlikely that these antibodies are generated during acute infection [118].

Methodology used to determine aPL is also very important. As occurs in prevalence, there is controversy about clinical clinical implications of IgA aβ2GPI antibodies. Because of the lack of standardization of the different assays, depending on the system chosen to detect these antibodies, results can be very heterogeneus [119]. To have reliability is mandatory to use accredited based on solid phase assays (ELISA). Thus, semi-solid phase systems have lower sensitivity (based on antigens-coated beads) [51,95]. This variability does not occur in the case of aPS/PT, because practically all the published studies used the same ELISA kit [51,74,78,83,84,87,88,91,93,99,104,107,109].

Plasma levels of β2GPI (main antigen of aPL) could indirectly play an important role beyond aPL. Although no relationship was found between the presence of aPL and clinical events, low serum β2GPI levels has been associated with a higher risk of ventilatory failure [56]. They have also been associated with greater predisposition for sepsis and mortality in ICU patients [120] and recover during convalescence [99]. Low levels of β2GPI are associated with recurrent thrombosis in patients with partial β2GPI deficiency (missense mutation), although the mechanisms involved are unknown [121]. This suggests that both a decreased production or a high consumption of the protein could occur in situations of organic stress. Therefore, patients in the early stages of COVID-19 would react in a way similar to an acquired partial deficiency of β2GPI triggered by the infection. During recovery, this deficiency corrects itself, the patients recovering their β2GPI levels in blood. This hypothesis has been supported by the results of some studies [122].

6. aPL persistence

To meet APS classification criteria, aPL positivity must be confirmed in 2 determinations 12 weaks apart because they can appear temporarily and nonspecifically during acute infectious episodes [123]. However, most of the studies reviewed only made one determination, and those that did make a second, made it <12 weeks apart. Only 2 studies systematically confirmation to all aPL positive patients according to the classification criteria [82,83].

The aPL can become negative in the second determination. This phenomenon is more common for LA [82,83,88,104,109], but it has been observed also for the rest of aPL [109]. On the contrary, one study reported that LA can remain positive [103]. Levels of aCL and aβ2GPI antibodies do not present significant variations in a second measurement [82,104] a strong agreement between both determinations for criteria aPL (Weighted kappa: 0.85) and for IgA aβ2GPI antibodies (Weighted kappa: 0.91). However, concordance in measurements of anti-PS/PT antibodies was weak (Weighted kappa 0.43–0.52) [84]. The low agreement between aPS/PT samples could be due to already described correlation LA and aPS/PT antibodies [57]. In antibodies against SARS-CoV2, the opposite phenomenon occurs, where logically a large increase is observed in a second determination. This suggests that the presence of aPL is independent of infection in most patients with aPL [84]. However, Espinosa et al. [83] described that only 25% of retested patients presented with the same aPL profile in both samples.

7. Final remarks

COVID-19 leaves us with several lessons about aPL:

  • 1.

    To carry out a prevalence study, control groups with demographic characteristics similar to the study population must be included, since otherwise it cannot be ensured that there is a high prevalence of aPL, without being able to compare with the free population of illness.

  • 2.

    An adequate cut off must be used, avoiding using the one recommended by the manufacturer, and 99th percentile must be calculated according to the population to be studied.

  • 3.

    Extra-criteria aPL can be associated with clinical events, and have been shown to be as prevalent or more so than consensus ones, so it is important to carry out a complete aPL screening, including both criteria and extra-criteria antibodies.

  • 4.

    To determine IgA aβ2GPI antibodies, it is important to use standardized methods based on solid phase, avoiding those based on beads.

  • 5.

    The heterogeneity of the results on the clinical association of aPL could be due to the fact that most of the studies are single-center and have been carried out in very small cohorts of patients, and in many cases with a low incidence of thrombotic events, which could lead to statistical hypothesis testing errors, both type I error (rejection of a true null hypothesis) and type II error (the mistaken acceptance of a false null hypothesis).

  • 6.

    A second determination of aPL must be performed with a minimum separation of 12 weeks, since it has been seen that LA can become negative, although the rest of aPL do not usually become negative but can change the positivity profile of the antibodies.

  • 7.

    Despite the lack of consensus on the role of aPL in COVID-19, studies with a larger number of patients have shown a clinical association.

  • 8.

    Low serum levels of the protein β2GPI, the main target of aPL, could be associated to morbidity in the context of acute infection.

It is commonly accepted that aPL in the context of COVID-19 could be an epiphenomenon secondary to the infection. The aPL carriers could have 2 different behaviors. On the one hand, during the first days of infection, there is an aPL-independent mechanism secondary to SARS-CoV2 infection. And in the other hand, aPL carriers would have an additional later risk of thrombosis. The presence of aPL (first hit) is not sufficient to provoke a thrombotic event, it is necessary an intense inflammatory activity (second hit), like COVID-19, that triggers a thrombotic event [69, 127]. Thus, aPL would have an additive effect on the risk of thrombosis generated by the infection itself.

However, it has been demonstrated the pathogenesis in animal models [124] of aPL that recognize epitopes located in domains 3 and 4 of β2GPI [66,125]. Interestingly, these epitopes of domains 3 and 4 are found in hidden areas in the closed (circular) form of β2GPI (most common conformation in circulation), only exposed after the activation of the molecule and its transformation in open conformation [126].

In conclusion, this pandemic may be a unique opportunity to understand the relationship between infections and APS; however, in order to make a solid evaluation, multicenter studies with large cohorts of patients must be carried out, to avoid results as heterogeneous as those obtained to date, which may give a false idea that aPLs are of no importance in the context of COVID-19.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

We have no conflict of interest.

References

  • 1.Guan W.J., Ni Z.Y., Hu Y., Liang W.H., Ou C.Q., He J.X., et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382:1708–1720. doi: 10.1056/NEJMoa2002032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Mehta P., McAuley D.F., Brown M., Sanchez E., Tattersall R.S., Manson J.J. COVID-19: consider cytokine storm syndromes and immunosuppression. Lancet. 2020;395:1033–1034. doi: 10.1016/S0140-6736(20)30628-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Wang F., Hou H., Luo Y., Tang G., Wu S., Huang M., et al. The laboratory tests and host immunity of COVID-19 patients with different severity of illness. JCI Insight. 2020;5 doi: 10.1172/jci.insight.137799. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Huang C., Wang Y., Li X., Ren L., Zhao J., Hu Y., et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan. China Lancet. 2020;395:497–506. doi: 10.1016/S0140-6736(20)30183-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Ruan Q., Yang K., Wang W., Jiang L., Song J. Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan. China Intens Care Med. 2020;46:846–848. doi: 10.1007/s00134-020-05991-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Henderson L.A., Canna S.W., Schulert G.S., Volpi S., Lee P.Y., Kernan K.F., et al. On the alert for cytokine storm: immunopathology in COVID-19. Arthritis Rheumatol. 2020;72:1059–1063. doi: 10.1002/art.41285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Knight J.S., Caricchio R., Casanova J.L., Combes A.J., Diamond B., Fox S.E., et al. The intersection of COVID-19 and autoimmunity. J Clin Invest. 2021;131 doi: 10.1172/JCI154886. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Jog N.R., Young K.A., Munroe M.E., Harmon M.T., Guthridge J.M., Kelly J.A., et al. Association of Epstein-Barr virus serological reactivation with transitioning to systemic lupus erythematosus in at-risk individuals. Ann Rheum Dis. 2019;78:1235–1241. doi: 10.1136/annrheumdis-2019-215361. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Quan T.E., Roman R.M., Rudenga B.J., Holers V.M., Craft J.E. Epstein-Barr virus promotes interferon-alpha production by plasmacytoid dendritic cells. Arthritis Rheum. 2010;62:1693–1701. doi: 10.1002/art.27408. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Severa M., Giacomini E., Gafa V., Anastasiadou E., Rizzo F., Corazzari M., et al. EBV stimulates TLR- and autophagy-dependent pathways and impairs maturation in plasmacytoid dendritic cells: implications for viral immune escape. Eur J Immunol. 2013;43:147–158. doi: 10.1002/eji.201242552. [DOI] [PubMed] [Google Scholar]
  • 11.Jog N.R., James J.A. Epstein Barr virus and autoimmune responses in systemic lupus erythematosus. Front Immunol. 2020;11 doi: 10.3389/fimmu.2020.623944. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Gil-Etayo F.J., Suarez-Fernandez P., Cabrera-Marante O., Arroyo D., Garcinuno S., Naranjo L., et al. T-helper cell subset response is a determining factor in COVID-19 progression. Front Cell Infect Microbiol. 2021;11 doi: 10.3389/fcimb.2021.624483. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Gil-Etayo F.J., Garcinuno S., Utrero-Rico A., Cabrera-Marante O., Arroyo-Sanchez D., Mancebo E., et al. An early Th1 response is a key factor for a favorable COVID-19 evolution. Biomedicines. 2022;10 doi: 10.3390/biomedicines10020296. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Horby P., Lim W.S., Emberson J.R., Mafham M., Bell J.L., Linsell L., et al. Dexamethasone in hospitalized patients with Covid-19. N Engl J Med. 2021;384:693–704. doi: 10.1056/NEJMoa2021436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Mehta P., Chambers R.C., Dagna L. Granulocyte-macrophage colony stimulating factor in COVID-19: friend or foe? Lancet Rheumatol. 2021;3:e394–e395. doi: 10.1016/S2665-9913(21)00078-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Mehta P., Ciurtin C., Scully M., Levi M., Chambers R.C. JAK inhibitors in COVID-19: the need for vigilance regarding increased inherent thrombotic risk. Eur Respir J. 2020;56 doi: 10.1183/13993003.01919-2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Liu C., Kieltyka J., Fleischmann R., Gadina M., O’Shea J.J. A decade of JAK inhibitors: What have we learned and what may be the future? Arthritis Rheumatol. 2021;73:2166–2178. doi: 10.1002/art.41906. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Novelli L., Motta F., De Santis M., Ansari A.A., Gershwin M.E., Selmi C. The JANUS of chronic inflammatory and autoimmune diseases onset during COVID-19 - a systematic review of the literature. J Autoimmun. 2021;117 doi: 10.1016/j.jaut.2020.102592. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Giannini M., Ohana M., Nespola B., Zanframundo G., Geny B., Meyer A. Similarities between COVID-19 and anti-MDA5 syndrome: What can we learn for better care? Eur Respir J. 2020;56 doi: 10.1183/13993003.01618-2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Wang Y., Du G., Zhang G., Matucci-Cerinic M., Furst D.E. Similarities and differences between severe COVID-19 pneumonia and anti-MDA-5-positive dermatomyositis-associated rapidly progressive interstitial lung diseases: a challenge for the future. Ann Rheum Dis. 2022:e192. doi: 10.1136/annrheumdis-2020-218594. Epub 2020 Aug 5. PMID: 32759260. [DOI] [PubMed] [Google Scholar]
  • 21.De Stefano L., Rossi S., Montecucco C., Bugatti S. Transient monoarthritis and psoriatic skin lesions following COVID-19. Ann Rheum Dis. 2020 doi: 10.1136/annrheumdis-2020-218520. Online ahead of print. [DOI] [PubMed] [Google Scholar]
  • 22.Liew I.Y., Mak T.M., Cui L., Vasoo S., Lim X.R. A case of reactive arthritis secondary to coronavirus disease 2019 infection. J Clin Rheumatol. 2020;26:233. doi: 10.1097/RHU.0000000000001560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Novelli L., Motta F., Ceribelli A., Guidelli G.M., Luciano N., Isailovic N., et al. A case of psoriatic arthritis triggered by SARS-CoV-2 infection. Rheumatology (Oxford) 2021;60:e21–e23. doi: 10.1093/rheumatology/keaa691. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Chee Y.J., Ng S.J.H., Yeoh E. Diabetic ketoacidosis precipitated by Covid-19 in a patient with newly diagnosed diabetes mellitus. Diabetes Res Clin Pract. 2020;164 doi: 10.1016/j.diabres.2020.108166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Talarico R., Stagnaro C., Ferro F., Carli L., Mosca M. Symmetric peripheral polyarthritis developed during SARS-CoV-2 infection. Lancet Rheumatol. 2020;2:e518–e519. doi: 10.1016/S2665-9913(20)30216-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Alivernini S., Cingolani A., Gessi M., Paglionico A., Pasciuto G., Tolusso B., et al. Comparative analysis of synovial inflammation after SARS-CoV-2 infection. Ann Rheum Dis. 2021;80 doi: 10.1136/annrheumdis-2020-218315. [DOI] [PubMed] [Google Scholar]
  • 27.Varga Z., Flammer A.J., Steiger P., Haberecker M., Andermatt R., Zinkernagel A.S., et al. Endothelial cell infection and endotheliitis in COVID-19. Lancet. 2020;395:1417–1418. doi: 10.1016/S0140-6736(20)30937-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Levi M., Thachil J., Iba T., Levy J.H. Coagulation abnormalities and thrombosis in patients with COVID-19. Lancet Haematol. 2020;7:e438–e440. doi: 10.1016/S2352-3026(20)30145-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Abou-Ismail M.Y., Diamond A., Kapoor S., Arafah Y., Nayak L. The hypercoagulable state in COVID-19: incidence, pathophysiology, and management. Thromb Res. 2020;194:101–115. doi: 10.1016/j.thromres.2020.06.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Hanley B., Naresh K.N., Roufosse C., Nicholson A.G., Weir J., Cooke G.S., et al. Histopathological findings and viral tropism in UK patients with severe fatal COVID-19: a post-mortem study. Lancet Microbe. 2020;1:e245–e253. doi: 10.1016/S2666-5247(20)30115-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Malas M.B., Naazie I.N., Elsayed N., Mathlouthi A., Marmor R., Clary B. Thromboembolism risk of COVID-19 is high and associated with a higher risk of mortality: a systematic review and meta-analysis. EClinicalMedicine. 2020;29 doi: 10.1016/j.eclinm.2020.100639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Klok F.A., Kruip M., van der Meer N.J.M., Arbous M.S., Gommers D., Kant K.M., et al. Confirmation of the high cumulative incidence of thrombotic complications in critically ill ICU patients with COVID-19: an updated analysis. Thromb Res. 2020;191:148–150. doi: 10.1016/j.thromres.2020.04.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Battaglini D., Lopes-Pacheco M., Castro-Faria-Neto H.C., Pelosi P., Rocco P.R.M. Laboratory biomarkers for diagnosis and prognosis in COVID-19. Front Immunol. 2022;13 doi: 10.3389/fimmu.2022.857573. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Fox S.E., Li G., Akmatbekov A., Harbert J.L., Lameira F.S., Brown J.Q., et al. Unexpected features of cardiac pathology in COVID-19 infection. Circulation. 2020;142:1123–1125. doi: 10.1161/CIRCULATIONAHA.120.049465. [DOI] [PubMed] [Google Scholar]
  • 35.Giannis D., Ziogas I.A., Gianni P. Coagulation disorders in coronavirus infected patients: COVID-19, SARS-CoV-1, MERS-CoV and lessons from the past. J Clin Virol. 2020;127 doi: 10.1016/j.jcv.2020.104362. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Gupta N., Zhao Y.Y., Evans C.E. The stimulation of thrombosis by hypoxia. Thromb Res. 2019;181:77–83. doi: 10.1016/j.thromres.2019.07.013. [DOI] [PubMed] [Google Scholar]
  • 37.Pilli V.S., Datta A., Afreen S., Catalano D., Szabo G., Majumder R. Hypoxia downregulates protein S expression. Blood. 2018;132:452–455. doi: 10.1182/blood-2018-04-841585. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Bahar I., Elay G., Baskol G., Sungur M., Donmez-Altuntas H. Increased DNA damage and increased apoptosis and necrosis in patients with severe sepsis and septic shock. J Crit Care. 2018;43:271–275. doi: 10.1016/j.jcrc.2017.09.035. [DOI] [PubMed] [Google Scholar]
  • 39.Bombeli T., Karsan A., Tait J.F., Harlan J.M. Apoptotic vascular endothelial cells become procoagulant. Blood. 1997;89:2429–2442. [PubMed] [Google Scholar]
  • 40.Evans C.E. Hypoxia and HIF activation as a possible link between sepsis and thrombosis. Thromb J. 2019;17:16. doi: 10.1186/s12959-019-0205-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Fuchs T.A., Abed U., Goosmann C., Hurwitz R., Schulze I., Wahn V., et al. Novel cell death program leads to neutrophil extracellular traps. J Cell Biol. 2007;176:231–241. doi: 10.1083/jcb.200606027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Schonrich G., Raftery M.J. Neutrophil extracellular traps go viral. Front Immunol. 2016;7:366. doi: 10.3389/fimmu.2016.00366. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Dotan A., Muller S., Kanduc D., David P., Halpert G., Shoenfeld Y. The SARS-CoV-2 as an instrumental trigger of autoimmunity. Autoimmun Rev. 2021;20 doi: 10.1016/j.autrev.2021.102792. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Zhu Y., Chen X., Liu X. NETosis and neutrophil extracellular traps in COVID-19: Immunothrombosis and beyond. Front Immunol. 2022;13 doi: 10.3389/fimmu.2022.838011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Middleton E.A., He X.Y., Denorme F., Campbell R.A., Ng D., Salvatore S.P., et al. Neutrophil extracellular traps contribute to immunothrombosis in COVID-19 acute respiratory distress syndrome. Blood. 2020;136:1169–1179. doi: 10.1182/blood.2020007008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Magro C., Mulvey J.J., Berlin D., Nuovo G., Salvatore S., Harp J., et al. Complement associated microvascular injury and thrombosis in the pathogenesis of severe COVID-19 infection: a report of five cases. Transl Res. 2020;220:1–13. doi: 10.1016/j.trsl.2020.04.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Gao T., Zhu L., Liu H., Zhang X., Wang T., Fu Y., et al. Highly pathogenic coronavirus N protein aggravates inflammation by MASP-2-mediated lectin complement pathway overactivation. Signal Transduct Target Ther. 2022;7(1):318. doi: 10.1038/s41392-022-01133-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Increased complement activation is a distinctive feature of severe SARS-CoV-2 infectionSci Immunol. 2021;6 doi: 10.1126/sciimmunol.abh2259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Zhang K., Lu Y., Harley K.T., Tran M.H. Atypical hemolytic uremic syndrome: a brief review. Hematol Rep. 2017;9:7053. doi: 10.4081/hr.2017.7053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Hill A., DeZern A.E., Kinoshita T., Brodsky R.A. Paroxysmal nocturnal haemoglobinuria. Nat Rev Dis Primers. 2017;3:17028. doi: 10.1038/nrdp.2017.28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Borghi M.O., Beltagy A., Garrafa E., Curreli D., Cecchini G., Bodio C., et al. Anti-phospholipid antibodies in COVID-19 are different from those detectable in the anti-phospholipid syndrome. Front Immunol. 2020;11 doi: 10.3389/fimmu.2020.584241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Mendoza-Pinto C., Escarcega R.O., Garcia-Carrasco M., Bailey D.J.O., Galvez-Romero J.L., Cervera R. Viral infections and their relationship with catastrophic antiphospholipid syndrome: a possible pathogenic mechanism of severe COVID-19 thrombotic complications. J Intern Med. 2020;288(6):737–739. doi: 10.1111/joim.13123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Miyakis S., Lockshin M.D., Atsumi T., Branch D.W., Brey R.L., Cervera R., et al. International consensus statement on an update of the classification criteria for definite antiphospholipid syndrome (APS) J Thromb Haemost. 2006;4:295–306. doi: 10.1111/j.1538-7836.2006.01753.x. [DOI] [PubMed] [Google Scholar]
  • 54.Cervera R., Rodriguez-Pinto I., Espinosa G. The diagnosis and clinical management of the catastrophic antiphospholipid syndrome: a comprehensive review. J Autoimmun. 2018;92:1–11. doi: 10.1016/j.jaut.2018.05.007. [DOI] [PubMed] [Google Scholar]
  • 55.Sciascia S., Amigo M.C., Roccatello D., Khamashta M. Diagnosing antiphospholipid syndrome: ‘extra-criteria’ manifestations and technical advances. Nat Rev Rheumatol. 2017;13:548–560. doi: 10.1038/nrrheum.2017.124. [DOI] [PubMed] [Google Scholar]
  • 56.Pleguezuelo D.E., Cabrera-Marante O., Abad M., Rodriguez-Frias E.A., Naranjo L., Vazquez A., et al. Anti-phosphatidylserine/prothrombin antibodies in healthy women with unexplained recurrent pregnancy loss. J Clin Med. 2021;10 doi: 10.3390/jcm10102094. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Sciascia S., Radin M., Cecchi I., Rubini E., Scotta A., Rolla R., et al. Reliability of lupus anticoagulant and anti-phosphatidylserine/prothrombin autoantibodies in antiphospholipid syndrome: a multicenter study. Front Immunol. 2019;10:376. doi: 10.3389/fimmu.2019.00376. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.de Laat B., Pengo V., Pabinger I., Musial J., Voskuyl A.E., Bultink I.E., et al. The association between circulating antibodies against domain I of beta2-glycoprotein I and thrombosis: an international multicenter study. J Thromb Haemost. 2009;7:1767–1773. doi: 10.1111/j.1538-7836.2009.03588.x. [DOI] [PubMed] [Google Scholar]
  • 59.Liu T., Gu J., Wan L., Hu Q., Teng J., Liu H., et al. Anti-beta2GPI domain 1 antibodies stratify high risk of thrombosis and late pregnancy morbidity in a large cohort of Chinese patients with antiphospholipid syndrome. Thromb Res. 2020;185:142–149. doi: 10.1016/j.thromres.2019.11.029. [DOI] [PubMed] [Google Scholar]
  • 60.Meijide H., Sciascia S., Sanna G., Khamashta M.A., Bertolaccini M.L. The clinical relevance of IgA anticardiolipin and IgA anti-beta2 glycoprotein I antiphospholipid antibodies: a systematic review. Autoimmun Rev. 2013;12:421–425. doi: 10.1016/j.autrev.2012.08.002. [DOI] [PubMed] [Google Scholar]
  • 61.Cabrera-Marante O., Rodriguez de Frias E., Serrano M., Lozano Morillo F., Naranjo L., Gil-Etayo F.J., et al. The weight of IgA anti-beta2glycoprotein I in the antiphospholipid syndrome pathogenesis: closing the gap of seronegative antiphospholipid syndrome. Int J Mol Sci. 2020;21 doi: 10.3390/ijms21238972. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Naranjo L., Ostos F., Gil-Etayo F.J., Hernandez-Gallego J., Cabrera-Marante O., Pleguezuelo D.E., et al. Presence of extra-criteria antiphospholipid antibodies is an independent risk factor for ischemic stroke. Front Cardiovasc Med. 2021;8 doi: 10.3389/fcvm.2021.665741. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Delgado J.F., Serrano M., Moran L., Enguita A.B., Martinez-Flores J.A., Ortiz-Bautista C., et al. Early mortality after heart transplantation related to IgA anti-beta2-glycoprotein I antibodies. J Heart Lung Transplant. 2017;36:1258–1265. doi: 10.1016/j.healun.2017.05.016. [DOI] [PubMed] [Google Scholar]
  • 64.Morales J.M., Serrano M., Martinez-Flores J.A., Perez D., Castro M.J., Sanchez E., et al. The presence of pretransplant antiphospholipid antibodies IgA anti-beta-2-glycoprotein I as a predictor of graft thrombosis after renal transplantation. Transplantation. 2017;101:597–607. doi: 10.1097/TP.0000000000001199. [DOI] [PubMed] [Google Scholar]
  • 65.Mendoza-Pinto C., Garcia-Carrasco M., Cervera R. Role of infectious diseases in the antiphospholipid syndrome (including its catastrophic variant) Curr Rheumatol Rep. 2018;20:62. doi: 10.1007/s11926-018-0773-x. [DOI] [PubMed] [Google Scholar]
  • 66.Blank M., Asherson R.A., Cervera R., Shoenfeld Y. Antiphospholipid syndrome infectious origin. J Clin Immunol. 2004;24:12–23. doi: 10.1023/B:JOCI.0000018058.28764.ce. [DOI] [PubMed] [Google Scholar]
  • 67.Rojas M., Restrepo-Jimenez P., Monsalve D.M., Pacheco Y., Acosta-Ampudia Y., Ramirez-Santana C., et al. Molecular mimicry and autoimmunity. J Autoimmun. 2018;95:100–123. doi: 10.1016/j.jaut.2018.10.012. [DOI] [PubMed] [Google Scholar]
  • 68.Meroni P.L., Borghi M.O., Raschi E., Tedesco F. Pathogenesis of antiphospholipid syndrome: understanding the antibodies. Nat Rev Rheumatol. 2011;7:330–339. doi: 10.1038/nrrheum.2011.52. [DOI] [PubMed] [Google Scholar]
  • 69.Zhang Y., Xiao M., Zhang S., Xia P., Cao W., Jiang W., et al. Coagulopathy and antiphospholipid antibodies in patients with COVID-19. N Engl J Med. 2020;382 doi: 10.1056/NEJMc2007575. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Foret T., Dufrost V., Salomon Du Mont L., Costa P., Lefevre B., Lacolley P., et al. Systematic review of antiphospholipid antibodies in COVID-19 patients: culprits or bystanders? Curr Rheumatol Rep. 2021;23:65. doi: 10.1007/s11926-021-01029-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Gazzaruso C., Mariani G., Ravetto C., Malinverni L., Tondelli E., Cerrone M., et al. Lupus anticoagulant and mortality in patients hospitalized for COVID-19. J Thromb Thrombolysis. 2021;52:85–91. doi: 10.1007/s11239-020-02335-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Constans M., Santiago R., Jimenez L., Motllo C., Lopez R., Trape J., et al. Lupus anticoagulant is an independent risk factor for non-thrombotic in-hospital mortality in COVID-19 patients. Thromb Res. 2021;208:99–105. doi: 10.1016/j.thromres.2021.10.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Najim M., Rahhal A., Khir F., Aljundi A.H., Abu Yousef S., Ibrahim F., et al. Prevalence and clinical significance of antiphospholipid antibodies in patients with coronavirus disease 2019 admitted to intensive care units: a prospective observational study. Rheumatol Int. 2021;41:1243–1252. doi: 10.1007/s00296-021-04875-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Helms J., Tacquard C., Severac F., Leonard-Lorant I., Ohana M., Delabranche X., et al. High risk of thrombosis in patients with severe SARS-CoV-2 infection: a multicenter prospective cohort study. Intensive Care Med. 2020;46:1089–1098. doi: 10.1007/s00134-020-06062-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Pineton de Chambrun M., Frere C., Miyara M., Amoura Z., Martin-Toutain I., Mathian A., et al. High frequency of antiphospholipid antibodies in critically ill COVID-19 patients: a link with hypercoagulability? J Intern Med. 2021;289:422–424. doi: 10.1111/joim.13126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Siguret V., Voicu S., Neuwirth M., Delrue M., Gayat E., Stepanian A., et al. Are antiphospholipid antibodies associated with thrombotic complications in critically ill COVID-19 patients? Thromb Res. 2020;195:74–76. doi: 10.1016/j.thromres.2020.07.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Bowles L., Platton S., Yartey N., Dave M., Lee K., Hart D.P., et al. Lupus anticoagulant and abnormal coagulation tests in patients with COVID-19. N Engl J Med. 2020;383:288–290. doi: 10.1056/NEJMc2013656. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Trahtemberg U., Rottapel R., Dos Santos C.C., Slutsky A.S., Baker A., Fritzler M.J. Anticardiolipin and other antiphospholipid antibodies in critically ill COVID-19 positive and negative patients. Ann Rheum Dis. 2021;80:1236–1240. doi: 10.1136/annrheumdis-2021-220206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Galeano-Valle F., Oblitas C.M., Ferreiro-Mazon M.M., Alonso-Munoz J., Del Toro-Cervera J., di Natale M., et al. Antiphospholipid antibodies are not elevated in patients with severe COVID-19 pneumonia and venous thromboembolism. Thromb Res. 2020;192:113–115. doi: 10.1016/j.thromres.2020.05.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Pascolini S., Vannini A., Deleonardi G., Ciordinik M., Sensoli A., Carletti I., et al. COVID-19 and immunological dysregulation: can autoantibodies be useful? Clin Transl Sci. 2021;14:502–508. doi: 10.1111/cts.12908. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Amezcua-Guerra L.M., Rojas-Velasco G., Brianza-Padilla M., Vazquez-Rangel A., Marquez-Velasco R., Baranda-Tovar F., et al. Presence of antiphospholipid antibodies in COVID-19: a case series study. Ann Rheum Dis. 2021;80 doi: 10.1136/annrheumdis-2020-218100. [DOI] [PubMed] [Google Scholar]
  • 82.Vollmer O., Tacquard C., Dieudonne Y., Nespola B., Sattler L., Grunebaum L., et al. Follow-up of COVID-19 patients: LA is transient but other aPLs are persistent. Autoimmun Rev. 2021;20 doi: 10.1016/j.autrev.2021.102822. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Espinosa G., Zamora-Martinez C., Perez-Isidro A., Neto D., Bravo-Gallego L.Y., Prieto-Gonzalez S., et al. Persistent antiphospholipid antibodies are not associated with worse clinical outcomes in a prospective cohort of hospitalised patients with SARS-CoV-2 infection. Front Immunol. 2022;13 doi: 10.3389/fimmu.2022.911979. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Gil-Etayo F.J., Garcinuno S., Lalueza A., Diaz-Simon R., Garcia-Reyne A., Pleguezuelo D.E., et al. Anti-phospholipid antibodies and COVID-19 thrombosis: a co-star, not a supporting actor. Biomedicines. 2021;9 doi: 10.3390/biomedicines9080899. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Gasparini G., Canepa P., Verdiani S., Carmisciano L., Cozzani E., De Grazia D., et al. A retrospective study on the prevalence of anti-phospholipid antibodies, thrombotic events and cutaneous signs of vasculopathy in 173 hospitalized COVID-19 patients. Int J Immunopathol Pharmacol. 2021;35 doi: 10.1177/20587384211042115. 20587384211042115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Le Joncour A., Frere C., Martin-Toutain I., Gougis P., Ghillani-Dalbin P., Maalouf G., et al. Antiphospholipid antibodies and thrombotic events in COVID-19 patients hospitalized in medicine ward. Autoimmun Rev. 2021;20 doi: 10.1016/j.autrev.2020.102729. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Frapard T., Hue S., Rial C., de Prost N., Mekontso Dessap A. Antiphospholipid autoantibodies and thrombosis in patients with COVID-19: comment on the article by Bertin et al. Arthritis Rheumatol. 2021;73:897–899. doi: 10.1002/art.41634. [DOI] [PubMed] [Google Scholar]
  • 88.Xiao M., Zhang Y., Zhang S., Qin X., Xia P., Cao W., et al. Antiphospholipid antibodies in critically ill patients with COVID-19. Arthritis Rheumatol. 2020;72:1998–2004. doi: 10.1002/art.41425. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Hasan Ali O., Bomze D., Risch L., Brugger S.D., Paprotny M., Weber M., et al. Severe Coronavirus Disease 2019 (COVID-19) is Associated With Elevated Serum Immunoglobulin (Ig) A and Antiphospholipid IgA Antibodies. Clin Infect Dis. 2021;73(9):e2869–e2874. doi: 10.1093/cid/ciaa1496. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Cristiano A., Fortunati V., Cherubini F., Bernardini S., Nuccetelli M. Anti-phospholipids antibodies and immune complexes in COVID-19 patients: a putative role in disease course for anti-annexin-V antibodies. Clin Rheumatol. 2021;40:2939–2945. doi: 10.1007/s10067-021-05580-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Lerma L.A., Chaudhary A., Bryan A., Morishima C., Wener M.H., Fink S.L. Prevalence of autoantibody responses in acute coronavirus disease 2019 (COVID-19) J Transl Autoimmun. 2020;3 doi: 10.1016/j.jtauto.2020.100073. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Serrano M., Espinosa G., Lalueza A., Bravo-Gallego L.Y., Diaz-Simon R., Garcinuno S., et al. Beta-2-glycoprotein-I deficiency could precipitate an antiphospholipid syndrome-like Prothrombotic situation in patients with coronavirus disease 2019. ACR Open Rheumatol. 2021;3:267–276. doi: 10.1002/acr2.11245. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Gatto M., Perricone C., Tonello M., Bistoni O., Cattelan A.M., Bursi R., et al. Frequency and clinical correlates of antiphospholipid antibodies arising in patients with SARS-CoV-2 infection: findings from a multicentre study on 122 cases. Clin Exp Rheumatol. 2020;38:754–759. [PubMed] [Google Scholar]
  • 94.Gendron N., Dragon-Durey M.A., Chocron R., Darnige L., Jourdi G., Philippe A., et al. Lupus anticoagulant single positivity during the acute phase of COVID-19 is not associated with venous thromboembolism or in-hospital mortality. Arthritis Rheumatol. 2021;73:1976–1985. doi: 10.1002/art.41777. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Perez D., Martinez-Flores J.A., Serrano M., Lora D., Paz-Artal E., Morales J.M., et al. Evaluation of three fully automated immunoassay systems for detection of IgA anti-beta 2-glycoprotein I antibodies. Int J Lab Hematol. 2016;38:560–568. doi: 10.1111/ijlh.12543. [DOI] [PubMed] [Google Scholar]
  • 96.Bertin D., Brodovitch A., Beziane A., Hug S., Bouamri A., Mege J.L., et al. Anticardiolipin IgG autoantibody level is an independent risk factor for COVID-19 severity. Arthritis Rheumatol. 2020;72:1953–1955. doi: 10.1002/art.41409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Gazzaruso C., Carlo Stella N., Mariani G., Nai C., Coppola A., Naldani D., et al. High prevalence of antinuclear antibodies and lupus anticoagulant in patients hospitalized for SARS-CoV2 pneumonia. Clin Rheumatol. 2020;39:2095–2097. doi: 10.1007/s10067-020-05180-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Anaya J.M., Monsalve D.M., Rojas M., Rodriguez Y., Montoya-Garcia N., Mancera-Navarro L.M., et al. Latent rheumatic, thyroid and phospholipid autoimmunity in hospitalized patients with COVID-19. J Transl Autoimmun. 2021;4 doi: 10.1016/j.jtauto.2021.100091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Zuo Y., Estes S.K., Ali R.A., Gandhi A.A., Yalavarthi S., Shi H., et al. Prothrombotic autoantibodies in serum from patients hospitalized with COVID-19. Sci Transl Med. 2020;12 doi: 10.1126/scitranslmed.abd3876. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Fan S., Xiao M., Han F., Xia P., Bai X., Chen H., et al. Neurological manifestations in critically ill patients with COVID-19: a retrospective study. Front Neurol. 2020;11:806. doi: 10.3389/fneur.2020.00806. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Reyes Gil M., Barouqa M., Szymanski J., Gonzalez-Lugo J.D., Rahman S., Billett H.H. Assessment of lupus anticoagulant positivity in patients with coronavirus disease 2019 (COVID-19) JAMA Netw Open. 2020;3 doi: 10.1001/jamanetworkopen.2020.17539. [DOI] [PubMed] [Google Scholar]
  • 102.Vlachoyiannopoulos P.G., Magira E., Alexopoulos H., Jahaj E., Theophilopoulou K., Kotanidou A., et al. Autoantibodies related to systemic autoimmune rheumatic diseases in severely ill patients with COVID-19. Ann Rheum Dis. 2020;79:1661–1663. doi: 10.1136/annrheumdis-2020-218009. [DOI] [PubMed] [Google Scholar]
  • 103.Rosales-Castillo A., Sabio J.M. Assessment of antiphospholipid antibodies during the follow-up of patients after SARS-CoV-2 infection. Med Clin (Engl Ed) 2022;158:437–438. doi: 10.1016/j.medcle.2021.09.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Devreese K.M.J., Linskens E.A., Benoit D., Peperstraete H. Antiphospholipid antibodies in patients with COVID-19: a relevant observation? J Thromb Haemost. 2020;18:2191–2201. doi: 10.1111/jth.14994. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Atalar E., Erden A., Guven S.C., Armagan B., Ates I., Kucuksahin O., et al. The clinical significance of antiphospholipid antibodies in COVID-19 infection. J Infect Dev Ctries. 2022;16:276–282. doi: 10.3855/jidc.15423. [DOI] [PubMed] [Google Scholar]
  • 106.Lopez Gutierrez, de Ocariz X., Castro Quismondo N., Vera Guerrero E., Rodriguez Rodriguez M., Ayala Diaz R., et al. Thrombosis and antiphospholipid antibodies in patients with SARS-COV-2 infection (COVID-19) Int J Lab Hematol. 2020;42:e280–e282. doi: 10.1111/ijlh.13320. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Previtali G., Seghezzi M., Moioli V., Sonzogni A., Cerutti L., Marozzi R., et al. The pathogenesis of thromboembolic disease in covid-19 patients: could be a catastrophic antiphospholipid syndrome? Thromb Res. 2020;194:192–194. doi: 10.1016/j.thromres.2020.06.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Ferrari E., Sartre B., Squara F., Contenti J., Occelli C., Lemoel F., et al. High prevalence of acquired thrombophilia without prognosis value in patients with coronavirus disease 2019. J Am Heart Assoc. 2020;9 doi: 10.1161/JAHA.120.017773. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Sciascia S., Radin M., Bazzan M., Montaruli B., Cosseddu D., Norbiato C., et al. Antiphospholipid antibodies and infection: non Nova Sed Nove. Front Immunol. 2021;12 doi: 10.3389/fimmu.2021.687534. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Tvito A., Ben-Chetrit E., Zimmerman F.S., Asher E., Helviz Y. Lupus anticoagulant in patients with COVID-19. Int J Lab Hematol. 2021;43:e17–e18. doi: 10.1111/ijlh.13334. [DOI] [PubMed] [Google Scholar]
  • 111.Mahler M., Norman G.L., Meroni P.L., Khamashta M. Autoantibodies to domain 1 of beta 2 glycoprotein 1: a promising candidate biomarker for risk management in antiphospholipid syndrome. Autoimmun Rev. 2012;12:313–317. doi: 10.1016/j.autrev.2012.05.006. [DOI] [PubMed] [Google Scholar]
  • 112.Karahan S., Erol K., Yuksel R.C., Artan C., Celik I. Antiphospholipid antibodies in COVID-19-associated pneumonia patients in intensive care unit. Mod Rheumatol. 2022;32:163–168. doi: 10.1080/14397595.2021.1892257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Goldman-Mazur S., Wypasek E., Karpinski M., Stanisz A., Undas A. High detection rates of antithrombin deficiency and antiphospholipid syndrome in outpatients aged over 50years using the standardized protocol for thrombophilia screening. Thromb Res. 2019;176:67–73. doi: 10.1016/j.thromres.2019.02.008. [DOI] [PubMed] [Google Scholar]
  • 114.Fields R.A., Toubbeh H., Searles R.P., Bankhurst A.D. The prevalence of anticardiolipin antibodies in a healthy elderly population and its association with antinuclear antibodies. J Rheumatol. 1989;16:623–625. [PubMed] [Google Scholar]
  • 115.Sene D., Piette J.C., Cacoub P. Antiphospholipid antibodies, antiphospholipid syndrome and viral infections. Rev Med Interne. 2009;30:135–141. doi: 10.1016/j.revmed.2008.05.020. [DOI] [PubMed] [Google Scholar]
  • 116.Selva-O’Callaghan A., Ordi-Ros J., Monegal-Ferran F., Martinez N., Cortes-Hernandez F., Vilardell-Tarres M. IgA anticardiolipin antibodies--relation with other antiphospholipid antibodies and clinical significance. Thromb Haemost. 1998;79:282–285. [PubMed] [Google Scholar]
  • 117.Swadzba J., Iwaniec T., Szczeklik A., Musial J. Revised classification criteria for antiphospholipid syndrome and the thrombotic risk in patients with autoimmune diseases. J Thromb Haemost. 2007;5:1883–1889. doi: 10.1111/j.1538-7836.2007.02669.x. [DOI] [PubMed] [Google Scholar]
  • 118.Sun B., Feng Y., Mo X., Zheng P., Wang Q., Li P., et al. Kinetics of SARS-CoV-2 specific IgM and IgG responses in COVID-19 patients. Emerg Microb Infect. 2020;9:940–948. doi: 10.1080/22221751.2020.1762515. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Martinez-Flores J.A., Serrano M., Alfaro J., Mora S., Paz-Artal E., Morales J.M., et al. Heterogeneity between diagnostic tests for IgA anti-beta2 glycoprotein I: explaining the controversy in studies of association with vascular pathology. Anal Chem. 2013;85:12093–12098. doi: 10.1021/ac403194t. [DOI] [PubMed] [Google Scholar]
  • 120.Schrijver I.T., Kemperman H., Roest M., Kesecioglu J., de Lange D.W. Beta-2-glycoprotein I as a biomarker for sepsis in critically ill patients in the intensive care unit: a prospective cohort study. Crit Care. 2020;24:341. doi: 10.1186/s13054-020-03066-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Zhang X.P., Zeng W., Liu H., Tang L., Wang Q.Y., Cheng Z.P., et al. Thrombophilia caused by Beta2-Glycoprotein I deficiency: in vitro study of a rare mutation in APOH gene. Curr Med Sci. 2018;38:379–385. doi: 10.1007/s11596-018-1889-y. [DOI] [PubMed] [Google Scholar]
  • 122.Serrano M., Espinosa G., Serrano A., Cervera R. Antigens and antibodies of the antiphospholipid syndrome as new allies in the pathogenesis of COVID-19 coagulopathy. Int J Mol Sci. 2022;23 doi: 10.3390/ijms23094946. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Male C., Foulon D., Hoogendoorn H., Vegh P., Silverman E., David M., et al. Predictive value of persistent versus transient antiphospholipid antibody subtypes for the risk of thrombotic events in pediatric patients with systemic lupus erythematosus. Blood. 2005;106:4152–4158. doi: 10.1182/blood-2005-05-2048. [DOI] [PubMed] [Google Scholar]
  • 124.Blank M., Shoenfeld Y., Cabilly S., Heldman Y., Fridkin M., Katchalski-Katzir E. Prevention of experimental antiphospholipid syndrome and endothelial cell activation by synthetic peptides. Proc Natl Acad Sci U S A. 1999;96:5164–5168. doi: 10.1073/pnas.96.9.5164. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.George J., Blank M., Levy Y., Meroni P., Damianovich M., Tincani A., et al. Differential effects of anti-beta2-glycoprotein I antibodies on endothelial cells and on the manifestations of experimental antiphospholipid syndrome. Circulation. 1998;97:900–906. doi: 10.1161/01.cir.97.9.900. [DOI] [PubMed] [Google Scholar]
  • 126.Tang K.T., Wu T.Y., Chen H.H., Lin C.C., Hsu Y.H. Cardiolipin interacts with beta-2-glycoprotein I and forms an open conformation-mechanisms analyzed using hydrogen/deuterium exchange. Protein Sci. 2021;30:927–939. doi: 10.1002/pro.4054. [DOI] [PMC free article] [PubMed] [Google Scholar]

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