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Carboxypeptidase B blocks ex vivo activation of the anaphylatoxin-neutrophil extracellular trap axis in neutrophils from COVID-19 patients

Abstract

Background

Thrombosis and coagulopathy are highly prevalent in critically ill patients with COVID-19 and increase the risk of death. Immunothrombosis has recently been demonstrated to contribute to the thrombotic events in COVID-19 patients with coagulopathy. As the primary components of immunothrombosis, neutrophil extracellular traps (NETs) could be induced by complement cascade components and other proinflammatory mediators. We aimed to explore the clinical roles of NETs and the regulation of complement on the NET formation in COVID-19.

Methods

We recruited 135 COVID-19 patients and measured plasma levels of C5, C3, cell-free DNA and myeloperoxidase (MPO)-DNA. Besides, the formation of NETs was detected by immunofluorescent staining and the cytotoxicity to vascular endothelial HUVEC cells was evaluated by CCK-8 assay.

Results

We found that the plasma levels of complements C3 and MPO-DNA were positively related to coagulation indicator fibrin(-ogen) degradation products (C3: r = 0.300, p = 0.005; MPO-DNA: r = 0.316, p = 0.002) in COVID-19 patients. Besides, C3 was positively related to direct bilirubin (r = 0.303, p = 0.004) and total bilirubin (r = 0.304, p = 0.005), MPO-DNA was positively related to lactate dehydrogenase (r = 0.306, p = 0.003) and creatine kinase (r = 0.308, p = 0.004). By using anti-C3a and anti-C5a antibodies, we revealed that the complement component anaphylatoxins in the plasma of COVID-19 patients strongly induced NET formation. The pathological effect of the anaphylatoxin-NET axis on the damage of vascular endothelial cells could be relieved by recombinant carboxypeptidase B (CPB), a stable homolog of enzyme CPB2 which can degrade anaphylatoxins to inactive products.

Conclusions

Over-activation in anaphylatoxin-NET axis plays a pathological role in COVID-19. Early intervention in anaphylatoxins might help prevent thrombosis and disease progression in COVID-19 patients.

Background

As declared by the World Health Organization, the global outbreak of coronavirus disease 2019 (COVID-19) has posed an unprecedented health crisis and caused more than 1.5 million deaths(https://covid19.who.int/). As the pandemic continues, mounting evidence implicates thrombosis and coagulopathy in a fatal outcome in COVID-19 patients [1, 2]. The latest data reported that thrombotic complications occur in up to 49% of patients with COVID-19 admitted to the intensive care unit (ICU) [3]. Autopsies further provide direct evidence of pulmonary embolism in patients with COVID-19 [4, 5]. Of note, immunothrombosis, the direct interaction of activated leukocytes with platelets and plasma coagulation factors in the innate immune response [6], has been demonstrated to contribute to the thrombotic events of coagulopathy [7]. Besides, the formation of neutrophil extracellular traps (NETs), which are composed of extracellular DNA decorated with granule proteins released by activated neutrophils, was identified as a leading cause and core component of immunothrombosis [8,9,10]. Hence, it is crucial to reveal the mechanisms causing NET formation in exploring more efficient therapeutic approaches to combat COVID-19.

Complement is a major component of the innate immune system involved in defending against foreign pathogens through complement fragments [11]. During the complement activation, the central component C3 is cleaved into C3a and C3b. C3b binds to C3 convertase to form C5 convertase, which proteolytically cleaves C5 into C5a and C5b [12, 13]. The anaphylatoxin C3a and C5a function as potent activators for neutrophil migration, cytokine production, platelet-leukocyte aggregation, and NET release, by binding to receptors C3aR and C5aR on the surface of neutrophils [12, 14,15,16]. Multiple studies have illustrated that complement-induced over-activation of neutrophils is involved in the pathogenesis of acute respiratory distress syndrome (ARDS) and fatal viral infections [17,18,19]. More importantly, complement C5a- and C3a-mediated NET formation has recently been demonstrated to be the key driver in COVID-19 immunothrombosis [20]. Thus, complements are important soluble mediators that bridge inflammation and thrombosis in COVID-19 and other infectious diseases.

Of note, C3a and C5a have carboxyl-terminus containing arginine residues that are critical for optimal activity [21]. Carboxypeptidases are capable of controlling the activity of anaphylatoxins by cleaving off a C-terminal arginine residue to yield arginine derivatives (C3ades-Arg and C5ades-Arg) [12]. The resulting C5ades-Arg retains 1–10% of the inflammatory activity of C5a, and C3ades-Arg is devoid of any pro-inflammatory activity [22]. Recently, Carboxypeptidase B2 (CPB2, encoded by human CPB2 gene) was demonstrated to be an important regulator in reducing inflammatory response and organ damage by degrading plasma anaphylatoxins [23,24,25].

In this study, we found that the plasma levels of complements and NETs were associated with disease severity in COVID-19. More importantly, we demonstrated that recombinant CPB could reduce the NET formation by degrading anaphylatoxin C3a and C5a. These findings may shed new light on a potential therapeutic strategy for COVID-19 by targeting the anaphylatoxin-NET axis.

Methods

Patient and sample collection

The prospective study included 135 patients with confirmed diagnosis of COVID-19 who admitted to Beijing Ditan Hospital from January 20th, 2020 to April 27th, 2020. The following patients were excluded from the present study: 1. Age < 18; 2. Gestation; 3. Patients with any immunodeficiency such as neutrophilia, neutropenia, malignant tumor, using of immunosuppressants for more than 1 week; 4. The time from onset to admission is more than 2 weeks; 5. Dropout patients; 6. Patients or their guardians do not want to be included in the study. According to the inclusion/exclusion criteria, 148 patients were enrolled in the study cohort, and 13 of them quitted before the study was completed. According to the guidelines on the diagnosis and treatment protocol for novel coronavirus pneumonia (trial version 7) [26] released by National Health Commission & National Administration of Traditional Chinese Medicine of China, the classification of COVID-19 are as follows: Mild: Clinical symptoms from mild fever, respiratory tract to pneumonia manifestation. Severe: Meeting any one of the following should be treated as severe cases, including respiratory distress, respiratory rate ≥ 30 breaths/min; oxygen saturation ≤ 93% at rest; and PaO2/FiO2 ≤ 300. In severe group, 31 patients were admitted to ICU, 15 cases received mechanical ventilation and 1 of them deceased. In severe group, 11 of 41 patients (26.8%) were first diagnosed as mild/moderate and then crossed over to severe COVID-19. In treating with coagulation disorders, 22 severe patients received enoxaparin sodium, 1 severe patient received low-molecular-weight heparin sodium and 1 severe patient received dabigatran treatment. The other 17 severe patients and all the mild patients did not receive anticoagulant therapy. Twenty-five healthy donors matched to the age and sex of mild COVID-19 patients were enrolled. Three volunteers donated their peripheral neutrophils for in vitro experiments.

The first sample of each patient was collected within 24 h after admission. Then, the blood was taken once a week until discharge from hospital. Blood samples were collected by venipuncture into ethylenediaminetetraacetic acid tubes. Plasma was separated from blood by centrifugation at 450 × g (break off) for 10 min at room temperature. Plasma samples were divided into small aliquots and stored at − 80 °C until the time of testing. The study was approved by Committee of Ethics at Beijing Ditan Hospital, Capital Medical University, Beijing, China. The approval number is JDLKZ(2020)D(036)-01.

Quantification of MPO-DNA and cfDNA

Cell-free DNA in plasma was quantified using the Quant-iT PicoGreen dsDNA Assay Kit (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s instruction. MPO-DNA complexes were quantified similarly to what has been previously described [27]. In brief, a capture antibody against MPO was coated on a 96-well flat-bottom plate at 1:200 (Abcam, Cambridge, MA, USA), and the amount of MPO-bound DNA was quantified using the Quant-iT PicoGreen dsDNA assay as described above.

Quantification of C5 and C3

Plasma levels of C5 (including the sum of C5 and C5a) and C3 (including the sum of C3, C3a and C3b) were detected using Human Complement C5 ELISA Kit and Human Complement C3 ELISA Kit (Abcam) according to the manufacturer’s instruction.

Immunofluorescence Staining

NETs were detected by immunofluorescence staining as previously reported [28]. Neutrophils were fixed, permeabilized and blocked after 3-h in vitro culture or stimulation. Cells were incubated with antibody against histone H3 citrulline R2 + R8 + R17 (H3Cit; Abcam) at 1:400 for 1 h at 37℃, followed by secondary antibody coupled with Alexa Fluor Dyes (Invitrogen) at 1:1000 for 1 h at room temperature. DNA was stained using 4′,6-diamidino-2-phenylindole (DAPI; Cell Signaling Technology, London, UK) at 1:2000 for 8 min at room temperature. Images were obtained with a confocal fluorescence microscope (Zeiss LSM 510 META; Carl Zeiss, Thornwood, NJ, USA). NETs were identified as structures positive for both histone H3Cit and DAPI staining.

Neutrophil isolation, in vitro culture and stimulation

Blood samples from healthy donors were collected into ethylenediaminetetraacetic acid tubes as described above for plasma separation. The anticoagulated blood was then fractionated by density-gradient centrifugation using Percoll (Stemcell Technologies, Vancouver, Canada). Neutrophils were further purified by dextran sedimentation of the red blood cell layer before lysing residual red blood cells with sodium chloride. Neutrophil preparations were at least 95% pure as confirmed by nuclear morphology.

Purified neutrophils were resuspended in RPMI-1640 medium supplemented with heat-inactivated 5% fetal bovine serum and 2 mM L-glutamine. Neutrophils were seeded into 96-well plate (5 × 104/well) for supernatant detection and 24-well plate (2 × 105/well) with polylysine-coated coverslips for NET immunofluorescence staining. Cells were rested for 1 h at 37 °C and 5% CO2 followed by replacement with plasma from HCs or COVID-19 patients at a final concentration of 5% in RPMI-1640 medium for 3 h according to previous report [20]. Recombinant CPB (YaxinBio, Shanghai, China) was used at 100 μg/ml to digest C3a and C5a in the plasma at 37 °C for 30 min prior to neutrophil stimulation. One hour prior to neutrophil stimulation, 100 μg/ml anti-human C3a (Merck, Darmstadt, Germany) or 10 μg/ml anti-human C5a antibody (R&D Systems, Minneapolis, MN, USA) were added into the culture system for neutralizing C3a or C5a in the plasma. Three hours later, the supernatant was collected to quantify MPO-DNA content. The results were calculated by deducting the background levels of MPO-DNA in the plasma.

Preparation of NET-conditioned medium and cell viability assay

Neutrophils from healthy donors were cultured with RPMI-1640 medium supplied with 5% plasma from patients with COVID-19 as described above. The peptidylarginine deiminase inhibitor Cl-amidine was added at 200 μM for blocking NET formation. Three hours later, the supernatant was collected carefully and used as NET-conditioned medium. HUVEC cells (3 × 103/well) were seeded into 96-well plate and cultured for 24 h. Cells culture media were replaced with 100 μl NET-conditioned media or new cell culture media as control for 24 h. Cell viability assay was performed using a cell counting kit 8 (CCK‐8) (Dojindo, Kumamoto, Japan) as per the manufacturer's protocol. Absorbance was detected at 590 nm using a microplate reader. The experiments were performed in sextuplicate.

Statistical Analysis

All statistical analyses were performed with the SPSS 25.0 statistical package (IBM, Armonk, NY, USA). Values are presented as the mean ± standard deviation for data that were normally distributed or median and interquartile range for data that were not normally distributed for continuous variables and number (%) for categorical variables. The Kolmogorov–Smirnov test was used to inspect the normality and homogeneity of variance of all the data. For two-group comparison, P values were derived from the one-way Student t test to determine differences between groups with normally distributed data and Mann–Whitney nonparametric test with other data. For multi-group comparison, P values were derived from one-way ANOVA (continuous variables) or Chi-square test (categorical variables). For all comparisons, P < 0.05 was considered statistically significant.

Results

COVID-19 cohort

We recruited 135 confirmed COVID-19 patients admitted to Beijing Ditan Hospital. Among them, 94 (69.6%) were mild cases and 41 (30.4%) were severe cases according to the guidelines on the diagnosis and treatment protocol for novel coronavirus pneumonia (trial version 7) [26] released by National Health Commission & National Administration of Traditional Chinese Medicine of China. Twenty-five age and gender-matched healthy donors (HDs) were enrolled as controls. Demographics and relevant clinical characteristics are reported in Table 1. The study was approved by the Committee of Ethics at Beijing Ditan Hospital, Capital Medical University, Beijing, China.

Table 1 Demographics and clinical characteristics of healthy donors and 2 groups of COVID-19 patients

The elevated levels of NETs in COVID-19 patients were closely related to respiratory failure and multiple organ dysfunction

We collected plasma once a week from hospitalized patients and evaluated the levels of complements and NETs by ELISA. In comparison with HDs, COVID-19 patients had significantly higher levels of NETs in the first week of admission quantified by measuring cell-free DNA (cfDNA) and myeloperoxidase (MPO)-DNA (all P < 0.001; Fig. 1a). Linear regression analysis showed that severe patients had higher levels of NETs than mild cases dynamically within 60 days of hospitalization (Fig. 1b). Both cfDNA and MPO-DNA levels in severe cases showed an upward trend with the disease progression (Fig. 1b).

Fig. 1
figure 1

The plasma levels of NETs were associated with severity of COVID-19. a Plasma levels of cfDNA and MPO-DNA. HD, n = 25; mild, n = 94; severe, n = 41. b Linear regression to straight curves of longitudinal cfDNA and MPO-DNA concentrations in plasma of COVID-19 patients within 60 days after symptom onset. Plasma samples were collected weekly in each patient after admission. Two hundred and twenty plasma samples from mild patients and 119 plasma samples were calculated. Confidence interval at 95% was indicated as a colored shadow. c The cfDNA levels in the patients with/without requirement of mechanical ventilation (without, n = 12; with, n = 15), and the patients with different SOFA scores (< 2, n = 22; ≥ 2, n = 19) who were admitted to ICU. Data are presented as median (interquartile range). P values were obtained by Mann–Whitney U test or Student t test

Previous studies have reported that NETs were associated with a variety of pathological changes such as immune status, coagulation disorder, and multiple organ dysfunction [27]. In COVID-19 patients, NET levels were positively correlated with the neutrophil count, fibrin(-ogen) degradation products (FDP), lactate dehydrogenase, and creatine kinase (Table 2). In addition, greater levels of cfDNA were detected in patients with mechanical ventilation (without vs with: 570.4 vs 897 ng/mL, P = 0.001; Fig. 1c) or those with sequential organ failure assessment (SOFA) scores ≥ 2 (SOFA < 2 vs SOFA ≥ 2: 554.9 vs 897 ng/mL, P = 0.001; Fig. 1d). These results indicated that the NET levels were closely related to the disease severity of COVID-19.

Table 2 Correlations between laboratory parameters and the plasma levels of cfDNA, MPO-DNA, C3 and C5 in COVID-19 patients

Increased plasma levels of complement C3 and C5 were positively associated with disease severity in COVID-19 patients

We measured the levels of complement C3 and C5 in the plasma of patients and HDs. Within the first week of admission, both of C3 and C5 were dramatically increased in mild patients with COVID-19 compared with HDs (Median with interquartile range, C3: 0.75 [0.65, 0.79] mg/mL vs 22.61 [14.86, 44.22] mg/mL, P < 0.001; C5: 41.66 [30.19, 47.7] μg/mL vs 274.8 [209.3, 344.7] μg/mL, P < 0.001; Fig. 2a). The levels of C3 and C5 were further raised to 56.23 [31.91, 76.04] mg/mL and 326.1 [245, 388.8] μg/mL in the severe COVID-19 patients (Fig. 2a). Consistent with the longitudinal changes of NETs, linear regression analysis showed that severe patients had higher levels of C3 and C5 than mild cases as the disease progresses (Fig. 2b). There was an upward trend of C3 in patients with disease progression (Fig. 2b). Furthermore, C3 levels were positively correlated with the neutrophil count, FDP, direct bilirubin, and total bilirubin in COVID-19 patients (Table 2).

Fig. 2
figure 2

The plasma levels of complement C3 and C5. a Plasma levels of C3 and C5. HD, n = 25; mild, n = 94; severe, n = 41. b Linear regression to straight curves of longitudinal C3 and C5 concentrations in plasma of COVID-19 patients within 60 days after symptom onset. Plasma samples were collected weekly in each patient after admission. Two hundred and twenty plasma samples from mild patients and 119 plasma samples were calculated. Confidence interval at 95% was indicated as a colored shadow. P values were obtained by Mann–Whitney U test or Student t test

The anaphylatoxin-induced NET formation was restrained by recombinant CPB

To determine the regulation of complement anaphylatoxin C3a and C5a on NET formation, we isolated peripheral neutrophils from HCs (Additional file 1: Figure S1, and Additional file 2: Figure S2a), then cultured these cells in the presence of the plasma from severe patients with COVID-19 or the plasma from HDs. The COVID-19 plasma was capable of activating neutrophils to form NETs (Fig. 3a and Additional file 2: Figure S2b) and to release MPO-DNA in the media (Fig. 3b), which were significantly restrained by anti-C3a and anti-C5a neutralizing antibodies. Moreover, we added recombinant CPB, a stable homolog of enzyme CPB2 which is capable of inactivating anaphylatoxin C3a and C5a by specifically degrading their arginine residues [29]. As shown in Fig. 3a, CPB significantly reduced NET release induced by the plasma from COVID-19 patients. Consistently, we treated neutrophils with recombinant C3a and C5a for 3 h and found that both C3a and C5a could significantly promoted NET release (Additional file 3: Figure S3). These data indicated that the over-production of NETs in the plasma of COVID-19 patients at least in part was induced by anaphylatoxin C3a and C5a, and the induction could be blocked by recombinant CPB.

Fig. 3
figure 3

Anaphylatoxin-induced NET release was inhibited by recombinant CPB. a Immunofluorescent staining for NET formation. Neutrophils from HDs were cultured with plasma from HDs or severe COVID-19 patients with different treatment. Plasma was digested with 100 μg/ml recombinant CPB for 30 min at 37 °C prior to neutrophil stimulation. One hour prior to neutrophil stimulation, 100 μg/ml anti-human C3a and/or 10 μg/ml anti-human C5a antibodies were added into the culture system for neutralizing C3a or C5a in the plasma. The extracellular histone of NETs was stained with anti-histone H3 citrulline (H3Cit) antibody (green) and DNA was stained with DAPI (blue). Figure shows a representative image from 1 of 3 patients. Scale bar = 100 μm. The percentage of NETs was calculated as an average of 5–10 fields normalized to the total number of neutrophils, and results are expressed as mean ± SEM. b NET release as indicated by MPO-DNA concentration in the media. c Cell viability of HUVEC cultured with NET-conditioned medium was measured by CCK-8 assay. Cells cultured with HD plasma-conditioned medium were taken as control and normalized as 100%. The peptidylarginine deiminase inhibitor Cl-amidine was added at 200 μM for blocking NET formation. Data are presented as mean ± SEM. Data are presented as median (interquartile range). P values were obtained by Mann–Whitney U test or Student t test

To further investigate the pathological roles of the anaphylatoxin-NET axis, we stimulated neutrophils with COVID-19 plasma to prepare a NET-conditioned medium and then added the conditioned medium to the culture system of vascular endothelial HUVEC cells. Compare with the plasma from HDs, the plasma from mild and severe COVID-19 patients reduced cell viability of HUVEC cells (Fig. 3c). However, the cytotoxicity of COVID-19 plasma was significantly relieved after in vitro digestion of plasma by CPB for 30 min (Fig. 3c). Similarly, the supplement of anti-C3a antibody plus anti-C5a antibody, or the NET inhibitor Cl-amidine to the cultured neutrophils to block NET production, could also reduce the cytotoxicity to HUVEC cells (Fig. 3c). These results suggested that recombinant CPB could protect vascular endothelial cells from damage by reducing C3a- and C5a-induced NET production in COVID-19 patients.

Discussion

As one of the major causes of mortality in severe COVID-19, thrombosis has drawn much attention [30]; however, the formation mechanisms remain to be clarified. Recently, NETs were found in to be a key, which provides new clues to the pathogenesis [20, 31,32,33]. In this study, we investigated the longitudinal dynamics of complement C3, C5 and NETs in the plasma of mild and severe patients with COVID-19. Considering that the average hospitalization periods of mild and severe patients were 25.5 (17.3, 35.7) and 36 (22, 43), respectively (Table 1), an observation of up to 60 days in the present study would cover the dynamics of NETs and complements during the disease progression from onset to convalescence. First, we found that the elevated levels of NETs and complement C3 were closely related to immune status, coagulation disorders, and multiple organ dysfunction. Second, the NET formation was at least partially regulated by complement anaphylatoxin C3a and C5a. Third, we made a novel finding that recombinant CPB could effectively improve the detrimental effect of NETs on vascular endothelial cells by degrading C3a and C5a.

The roles and mechanisms of complement C5a in neutrophil migration and activation have been well described in several inflammatory disorders such as sepsis, inflammatory arthritis and gout [34,35,36,37,38]. In the global pandemic COVID-19, over-activation of complement had also attracted the attention of scientists. Consistent with our study, other reports also revealed that activation of complement C3 and C5 was involved in the pathogenesis of COVID-19 [39, 40]. The findings from our study and these reports collectively suggested that complement activation may contribute to the development of tissue injury and organ dysfunction in patients with COVID-19. Given this, complement-blocking drugs may be a beneficial addition to the therapeutic armamentarium against COVID-19. Thus, several clinical trials were launched just recently in order to prevent ARDS and mortality of COVID-19 by C5a inhibitor (Zilucoplan, NCT04382755) or anti-C5a antibody (Eculizumab, NCT04288713). Considering that in addition to C5a, a significant elevation of C3a was also observed in the patients with COVID-19, we highly recommend recombinant CPB as a potential choice for simultaneously degrading both C3a and C5a[12]. It is worthy of expectation for preclinical studies on recombinant CPB to suppress the unrestrained inflammation and reduce the clinical severity of COVID-19. Notably, the endogenous CPB2 was also known as thrombin-activatable fibrinolysis inhibitor (TAFI) to inhibit fibrinolysis and thereby reduce the binding of plasminogen to the fibrin clot [24]. An excessive supplement of recombinant CPB may upset the balance between coagulation and fibrinolysis. Therefore, an appropriate dosage should be carefully considered in further studies.

We noticed that the NET production induced by plasma from severe COVID-19 patients could not be completely inhibited by either neutralizing antibodies or recombinant CPB (Fig. 3a), which implied that in addition to anaphylatoxins, there were other inducers of NETs in the plasma of severe patients. Many studies have reported an increase in IL-6, IL-1β, and CXCL-8 in severe patients with COVID-19 [41,42,43], which are also important factors that induce granulocyte activation and NET release. These pro-inflammatory cytokines may also contribute to the over-production of NETs in severe COVID-19 patients. Anaphylatoxins are leading mediators for rapidly inducing the synthesis of pro-inflammatory cytokines [44, 45]. Thus, complement activation may be a pivotal link in amplifying inflammatory response in early infection. Consistently, we found that compared with HDs, complement C3 and C5 increased remarkably in patients with mild symptoms. Although the complement component anaphylatoxins may contribute to increased disease severity following SARS-CoV-2 infection, complement activation is necessary for the development of a protective humoral response. In this respect, early intervention in anaphylatoxins without affecting complement cascade activation in COVID-19 patients might help prevent thrombosis and disease progression.

In addition, C3 and C5 concentrations might be influenced by a variety of factors including confounding co-morbidities. By analyzing the relationship between complement levels and complications, we found that the patients with high levels of C-reactive protein (> 5) had higher concentrations of C3 and C5 in both mild and severe patients (Additional file 4: Figure S4). Meanwhile, the immune status (peripheral neutrophil counts) was correlated with C3 concentrations in COVID-19 patients (Table 2). These data indicated that complement activation was tightly associated with inflammation and immune status in COVID-19.

Our results demonstrated that the increased complement component plays an important role in promoting the formation of NETs in patients with COVID-19. It is different from our previous findings in the infection of severe fever with thrombocytopenia syndrome virus (SFTSV). The patients with SFTS had significantly higher levels of NETs but comparable levels of C3 and C5 to the healthy controls [27]. The difference in complement activation between COVID-19 and SFTS might be related to differences in clinical manifestations. Pulmonary thrombosis appears to be frequent in COVID-19 pneumonia, while the patients with SFTS have a marked propensity for bleeding with a rare thrombus. Thus, the mechanism and function of NETs may be different in these two viral infections associated with coagulation abnormalities.

We acknowledged that our study has several limitations. First, the CPB2 levels in the plasma of COVID-19 patients were not available because it is unstable in physiological condition with a half-life of 10 min at 37℃. Second, for the same reason, we used recombinant pancreatic enzyme CPB instead in in vitro study, which is a stable homolog of CPB2. Third, compared with MPO-DNA, a specific marker of NETs, cfDNA could also be released from other leukocytes and damaged endothelial cells following cellular death. We were not able to accurately determine the cellular origins of peripheral cfDNA in the present study. As there were higher degrees of correlation of cfDNA with clinical parameters than MPO-DNA (Table 2), it may be directly related to leukopenia and tissue damage in patients with COVID-19.

Conclusions

In conclusion, our study offers new insights into the immunological pathogenesis of COVID-19. Based on these findings, degrading the over-generated C3a and C5a by recombinant CPB to restrain the downstream NET production might be a promising approach to prevent thrombosis and reduce the clinical severity of COVID-19.

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

References

  1. Klok FA, Kruip M, van der Meer NJM, Arbous MS, Gommers D, Kant KM, Kaptein FHJ, van Paassen J, Stals MAM, Huisman MV, 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;191:148–50.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Tang N, Li D, Wang X, Sun Z. Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia. J Thromb Haemost. 2020;18(4):844–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Wiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC. Pathophysiology, transmission, diagnosis, and treatment of coronavirus disease 2019 (COVID-19): a review. Jama. 2020;324(8):782–93.

    Article  CAS  PubMed  Google Scholar 

  4. Wichmann D, Sperhake JP, Lutgehetmann M, Steurer S, Edler C, Heinemann A, Heinrich F, Mushumba H, Kniep I, Schroder AS, et al. Autopsy findings and venous thromboembolism in patients with COVID-19. Ann Intern Med. 2020;173(4):268–77.

    Article  PubMed  Google Scholar 

  5. Grimes Z, Bryce C, Sordillo EM, Gordon RE, Reidy J, Paniz Mondolfi AE, Fowkes M. Fatal pulmonary thromboembolism in SARS-CoV-2-infection. Cardiovasc Pathol. 2020;48:107227.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Schrottmaier WC, Mussbacher M, Salzmann M, Assinger A. Platelet-leukocyte interplay during vascular disease. Atherosclerosis. 2020;307:109–20.

    Article  CAS  PubMed  Google Scholar 

  7. Middleton EA, He XY, Denorme F, Campbell RA, Ng D, Salvatore SP, Mostyka M, Baxter-Stoltzfus A, Borczuk AC, Loda M, et al. Neutrophil extracellular traps (NETs) contribute to immunothrombosis in COVID-19 acute respiratory distress syndrome. Blood. 2020;136(10):1169–79.

    Article  CAS  PubMed  Google Scholar 

  8. Palankar R, Greinacher A. Challenging the concept of immunothrombosis. Blood. 2019;133(6):508–9.

    Article  CAS  PubMed  Google Scholar 

  9. Cerletti C, Tamburrelli C, Izzi B, Gianfagna F, de Gaetano G. Platelet-leukocyte interactions in thrombosis. Thromb Res. 2012;129(3):263–6.

    Article  CAS  PubMed  Google Scholar 

  10. Schurink B, Roos E, Radonic T, Barbe E, Bouman CSC, de Boer HH, de Bree GJ, Bulle EB, Aronica EM, Florquin S, et al. Viral presence and immunopathology in patients with lethal COVID-19: a prospective autopsy cohort study. Lancet Microbe. 2020;1(7):e290–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Lubbers R, van Essen MF, van Kooten C, Trouw LA. Production of complement components by cells of the immune system. Clin Exp Immunol. 2017;188(2):183–94.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Klos A, Tenner AJ, Johswich KO, Ager RR, Reis ES, Kohl J. The role of the anaphylatoxins in health and disease. Mol Immunol. 2009;46(14):2753–66.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Verschoor A, Karsten CM, Broadley SP, Laumonnier Y, Kohl J. Old dogs-new tricks: immunoregulatory properties of C3 and C5 cleavage fragments. Immunol Rev. 2016;274(1):112–26.

    Article  CAS  PubMed  Google Scholar 

  14. Sadik CD, Miyabe Y, Sezin T, Luster AD. The critical role of C5a as an initiator of neutrophil-mediated autoimmune inflammation of the joint and skin. Semin Immunol. 2018;37:21–9.

    Article  CAS  PubMed  Google Scholar 

  15. Wu MC, Brennan FH, Lynch JP, Mantovani S, Phipps S, Wetsel RA, Ruitenberg MJ, Taylor SM, Woodruff TM. The receptor for complement component C3a mediates protection from intestinal ischemia-reperfusion injuries by inhibiting neutrophil mobilization. Proc Natl Acad Sci USA. 2013;110(23):9439–44.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Schreiber A, Xiao H, Jennette JC, Schneider W, Luft FC, Kettritz R. C5a receptor mediates neutrophil activation and ANCA-induced glomerulonephritis. J Am Soc Nephrol JASN. 2009;20(2):289–98.

    Article  CAS  PubMed  Google Scholar 

  17. Garcia CC, Weston-Davies W, Russo RC, Tavares LP, Rachid MA, Alves-Filho JC, Machado AV, Ryffel B, Nunn MA, Teixeira MM. Complement C5 activation during influenza A infection in mice contributes to neutrophil recruitment and lung injury. PLoS ONE. 2013;8(5):e64443.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Palmer LJ, Damgaard C, Holmstrup P, Nielsen CH. Influence of complement on neutrophil extracellular trap release induced by bacteria. J Periodontal Res. 2016;51(1):70–6.

    Article  CAS  PubMed  Google Scholar 

  19. Kambas K, Markiewski MM, Pneumatikos IA, Rafail SS, Theodorou V, Konstantonis D, Kourtzelis I, Doumas MN, Magotti P, Deangelis RA, et al. C5a and TNF-alpha up-regulate the expression of tissue factor in intra-alveolar neutrophils of patients with the acute respiratory distress syndrome. J Immunol. 2008;180(11):7368–75.

    Article  CAS  PubMed  Google Scholar 

  20. Skendros P, Mitsios A, Chrysanthopoulou A, Mastellos DC, Metallidis S, Rafailidis P, Ntinopoulou M, Sertaridou E, Tsironidou V, Tsigalou C, et al. Complement and tissue factor-enriched neutrophil extracellular traps are key drivers in COVID-19 immunothrombosis. J Clin Invest. 2020;130(11):6151–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Schatz-Jakobsen JA, Yatime L, Larsen C, Petersen SV, Klos A, Andersen GR. Structural and functional characterization of human and murine C5a anaphylatoxins. Acta Crystallogr D Biol Crystallogr. 2014;70(Pt 6):1704–17.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Matthews KW, Mueller-Ortiz SL, Wetsel RA. Carboxypeptidase N: a pleiotropic regulator of inflammation. Mol Immunol. 2004;40(11):785–93.

    Article  CAS  PubMed  Google Scholar 

  23. Morser J, Shao Z, Nishimura T, Zhou Q, Zhao L, Higgins J, Leung LLK. Carboxypeptidase B2 and N play different roles in regulation of activated complements C3a and C5a in mice. J Thromb Haemost. 2018;16(5):991–1002.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Foley JH, Conway EM. Basic weapons to degrade C3a and C5a. J Thromb Haemost. 2018;16(5):987–90.

    Article  CAS  PubMed  Google Scholar 

  25. Foley JH, Kim PY, Hendriks D, Morser J, Gils A, Mutch NJ. Subcommittee on F: Evaluation of and recommendation for the nomenclature of the CPB2 gene product (also known as TAFI and proCPU): communication from the SSC of the ISTH. J Thromb Haemost. 2015;13(12):2277–8.

    Article  CAS  PubMed  Google Scholar 

  26. Diagnosis and Treatment Protocol for Novel Coronavirus Pneumonia (Trial Version 7). Chin Med J (Engl) 2020, 133(9):1087–1095.

  27. Zhang Y, Song R, Shen Y, Zhao Y, Zhao Z, Fan T, Yang X, Wang L, Zhang W, Chen C, et al. High levels of circulating cell-free DNA are associated with a poor prognosis in patients with severe fever with thrombocytopenia syndrome. Clin Infect Dis. 2020;70(9):1941–9.

    Article  CAS  PubMed  Google Scholar 

  28. Zhu L, Liu L, Zhang Y, Pu L, Liu J, Li X, Chen Z, Hao Y, Wang B, Han J, et al. High level of neutrophil extracellular traps correlates with poor prognosis of severe influenza a infection. J Infect Dis. 2018;217(3):428–37.

    Article  CAS  PubMed  Google Scholar 

  29. Song JJ, Hwang I, Cho KH, Garcia MA, Kim AJ, Wang TH, Lindstrom TM, Lee AT, Nishimura T, Zhao L, et al. Plasma carboxypeptidase B downregulates inflammatory responses in autoimmune arthritis. J Clin Invest. 2011;121(9):3517–27.

    CAS  PubMed  PubMed Central  Google Scholar 

  30. Manenti A, Farinetti A, Manco G, Mattioli A. Vasculitis and aortitis: Covid-19 challenging complications. J Vasc Surg. 2020;73(1):347–8.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Leppkes M, Knopf J, Naschberger E, Lindemann A, Singh J, Herrmann I, Sturzl M, Staats L, Mahajan A, Schauer C, et al. Vascular occlusion by neutrophil extracellular traps in COVID-19. EBioMedicine. 2020;58:102925.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Barnes BJ, Adrover JM, Baxter-Stoltzfus A, Borczuk A, Cools-Lartigue J, Crawford JM, Dassler-Plenker J, Guerci P, Huynh C, Knight JS, et al. Targeting potential drivers of COVID-19: Neutrophil extracellular traps. J Exp Med. 2020;217(6):e20200652.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Noubouossie DF, Reeves BN, Strahl BD, Key NS. Neutrophils: back in the thrombosis spotlight. Blood. 2019;133(20):2186–97.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Lee H, Zahra D, Vogelzang A, Newton R, Thatcher J, Quan A, So T, Zwirner J, Koentgen F, Padkjaer SB, et al. Human C5aR knock-in mice facilitate the production and assessment of anti-inflammatory monoclonal antibodies. Nat Biotechnol. 2006;24(10):1279–84.

    Article  CAS  PubMed  Google Scholar 

  35. Riedemann NC, Guo RF, Bernacki KD, Reuben JS, Laudes IJ, Neff TA, Gao H, Speyer C, Sarma VJ, Zetoune FS, et al. Regulation by C5a of neutrophil activation during sepsis. Immunity. 2003;19(2):193–202.

    Article  CAS  PubMed  Google Scholar 

  36. Cumpelik A, Ankli B, Zecher D, Schifferli JA. Neutrophil microvesicles resolve gout by inhibiting C5a-mediated priming of the inflammasome. Ann Rheum Dis. 2016;75(6):1236–45.

    Article  CAS  PubMed  Google Scholar 

  37. Miyabe Y, Miyabe C, Mani V, Mempel TR, Luster AD. Atypical complement receptor transports C5aR2 to initiate neutrophil adhesion and inflammation. Sci Immunol. 2019;4(35):eaav5951.

    Article  CAS  PubMed  Google Scholar 

  38. Miyabe Y, Miyabe C, Murooka TT, Kim EY, Newton GA, Kim ND, Haribabu B, Luscinskas FW, Mempel TR, Luster AD. Complement C5a receptor is the key initiator of neutrophil adhesion igniting immune complex-induced arthritis. Sci Immunol. 2017;2(7):2195.

    Article  Google Scholar 

  39. Mastellos DC, Pires da Silva BGP, Fonseca BAL, Fonseca NP, Auxiliadora-Martins M, Mastaglio S, Ruggeri A, Sironi M, Radermacher P, Chrysanthopoulou A, et al. Complement C3 vs C5 inhibition in severe COVID-19: Early clinical findings reveal differential biological efficacy. Clin Immunol. 2020;220:108598.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Chauhan AJ, Wiffen LJ, Brown TP. COVID-19: A collision of complement, coagulation and inflammatory pathways. J Thromb Haemost. 2020;18(9):2110–7.

    Article  CAS  PubMed  Google Scholar 

  41. Xu X, Yu MQ, Shen Q, Wang LZ, Yan RD, Zhang MY, Liu JY, Qu YQ. Analysis of inflammatory parameters and disease severity for 88 hospitalized COVID-19 patients in Wuhan China. Int J Med Sci. 2020;17(13):2052–62.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Wilson JG, Simpson LJ, Ferreira AM, Rustagi A, Roque J, Asuni A, Ranganath T, Grant PM, Subramanian A, Rosenberg-Hasson Y, et al. Cytokine profile in plasma of severe COVID-19 does not differ from ARDS and sepsis. JCI Insight. 2020;5(17):e140289.

    Article  PubMed Central  Google Scholar 

  43. Mehta P, McAuley DF, Brown M, Sanchez E, Tattersall RS, Manson JJ. Hlh Across Speciality Collaboration UK: COVID-19: consider cytokine storm syndromes and immunosuppression. Lancet. 2020;395(10229):1033–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Ohta R, Torii Y, Imai M, Kimura H, Okada N, Ito Y. Serum concentrations of complement anaphylatoxins and proinflammatory mediators in patients with 2009 H1N1 influenza. Microbiol Immunol. 2011;55(3):191–8.

    Article  CAS  PubMed  Google Scholar 

  45. Basta M, Van Goor F, Luccioli S, Billings EM, Vortmeyer AO, Baranyi L, Szebeni J, Alving CR, Carroll MC, Berkower I, et al. F(ab)’2-mediated neutralization of C3a and C5a anaphylatoxins: a novel effector function of immunoglobulins. Nat Med. 2003;9(4):431–8.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We sincerely thank all the patients and healthy donors included in this study. We appreciate the works from Professor Zhihai Chen, Dr. Yangzi Song and Dr. Rui Song from Center of Infectious Disease, Beijing Ditan Hospital; Dr. Ju Zhang, Ms. Yonghong Yan, Dr. Junyan Han and Ms. Chuan Song from Institute of Infectious Diseases, Beijing Ditan Hospital in recruiting patients and extracting clinical information. We also thank Professor Chen Chen from Institute of Infectious Diseases, Beijing Ditan Hospital and Mr. Xuejia Wang for helping with data analysis.

Funding

This work was supported by the National Natural Science Foundation of China (81671940 and 81871586), Beijing Municipal Science and technology commission (Z201100005420012), Beijing Traditional Chinese Medicine Development Funding of Science and Technology (YJ2020-01), Beijing Talents Foundation (2018000021223ZK27) and Beijing Municipal Science & Technology Commission (Z201100007920017).

Author information

Authors and Affiliations

Authors

Contributions

YZ performed the experiments, analyzed the data and did the statistical analysis. KH collected samples from patients. CD extracted clinical information. RL participated in sample collection and experiments. JL participated in patient recruitment and clinical data collection. HZ recruited the patients and revised the manuscript. LZ designed the study, performed the experiments and wrote the manuscript. AL recruited the patients and participated in the study design. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Hui Zeng, Liuluan Zhu or Ang Li.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Committee of Ethics at Beijing Ditan Hospital, Capital Medical University, Beijing, China, and each patient gave written informed consent.

Competing interests

The authors declare that they have no competing interests.

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Not applicable.

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Supplementary information

Additional file 1: Supplementary figure 1.

Neutrophil morphology and purity.

Additional file 2: Supplementary figure 2.

Negative and Positive controls of the immunofluorescent staining for NET formation.

Additional file 3: Supplementary figure 3.

C3a and C5a induced NET formation.

Additional file 4.

C3 and C5 concentrations in patients with different levels of C-reactive protein (CRP).

Additional file 5.

Supplementary figure legends.

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Zhang, Y., Han, K., Du, C. et al. Carboxypeptidase B blocks ex vivo activation of the anaphylatoxin-neutrophil extracellular trap axis in neutrophils from COVID-19 patients. Crit Care 25, 51 (2021). https://doi.org/10.1186/s13054-021-03482-z

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