Abstract
Dysregulation in neutrophil extracellular trap (NET) formation and degradation may play a role in the pathogenesis and severity of COVID-19; however, its role in the pediatric manifestations of this disease, including multisystem inflammatory syndrome in children (MIS-C) and chilblain-like lesions (CLLs), otherwise known as “COVID toes,” remains unclear. Studying multinational cohorts, we found that, in CLLs, NETs were significantly increased in serum and skin. There was geographic variability in the prevalence of increased NETs in MIS-C, in association with disease severity. MIS-C and CLL serum samples displayed decreased NET degradation ability, in association with C1q and G-actin or anti-NET antibodies, respectively, but not with genetic variants of DNases. In adult COVID-19, persistent elevations in NETs after disease diagnosis were detected but did not occur in asymptomatic infection. COVID-19–affected adults displayed significant prevalence of impaired NET degradation, in association with anti-DNase1L3, G-actin, and specific disease manifestations, but not with genetic variants of DNases. NETs were detected in many organs of adult patients who died from COVID-19 complications. Infection with the Omicron variant was associated with decreased NET levels when compared with other SARS-CoV-2 strains. These data support a role for NETs in the pathogenesis and severity of COVID-19 in pediatric and adult patients.
Keywords: Infectious disease, Inflammation
Keywords: Neutrophils
Introduction
Coronavirus disease 2019 (COVID-19) is caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (1, 2). SARS-CoV-2 infection causes mild to severe illness that may progress to acute respiratory distress syndrome (ARDS), multiorgan failure, and death. In severe cases, infection of pneumocytes and associated inflammation result in lung injury, thrombotic microangiopathy, and hypoxemia (3–9). More than 5 million COVID-19 deaths have been reported globally, predominantly among unvaccinated adults with preexisting medical conditions. Although acute SARS-CoV-2 infection is less severe among children (10–12), multi-system inflammatory syndrome in children (MIS-C) (13, 14), characterized by fever, systemic inflammation, and multiorgan dysfunction following COVID-19, may occur (15, 16). Cutaneous manifestations, such as chilblain-like lesions (CLLs) or “COVID toes,” affect primarily children and young adults and are characterized by edema, erythema, violaceous discoloration on the fingers and toes and occasional vesiculation (17–19). The occurrence of CLLs rapidly increased during the COVID-19 pandemic and correlates with confirmed COVID-19 incidence (19). Biopsy of affected tissue may confirm the diagnosis, with superficial and deep dermal lymphocytic infiltrates surrounding eccrine glands and blood vessels (20–23).
CLLs have been observed in patients with mild and asymptomatic COVID-19, and post-mRNA SARS-CoV-2 vaccination, but remain controversial as many patients are PCR negative without seroconversion (24). Chilblains may occur in type I interferonopathies, and affected patients with CLLs can produce increased IFN-α, supporting that CLLs may be associated with rapid clearance of SARS-CoV-2 infection (25).
Increased numbers of activated neutrophils have been described in severe COVID-19 and in MIS-C (26, 27). Emerging evidence suggests that excessive neutrophil extracellular trap (NET) formation plays a key role in COVID-19 pathogenesis (28–30). NETs are extruded by neutrophils as a meshwork of chromatin bound to granule proteins and are synthesized during various infectious and sterile inflammatory conditions (31). Infection with SARS-CoV-2 can trigger NET formation (32). In other conditions, excessive NET formation may cause vascular injury by activating endothelial-mesenchymal transition, triggering death of endothelial cells and vascular smooth muscle cells and promoting coagulation (33–37). NET complexes have been detected in the circulation of adult patients with severe COVID-19 (38), and widespread occlusion of small vessels by aggregated NETs has been visualized in their lungs and kidneys (39, 40). The mechanisms by which NET remnants are elevated in circulation and tissues in COVID-19 require further characterization. In particular, the relative contribution of enhanced NET formation versus impaired NET degradation in COVID-19 remains a matter of debate. Whether NETs are present in asymptomatic patients infected with the virus and the natural history of elevated NET complexes after the virus is cleared and infection resolves also remain unclear. Furthermore, whether patients infected with different variants of the virus differ in their ability to form NETs remains to be determined.
While various studies have been published on adult cohorts, the presence of NETs and the clearance mechanisms of NETs have not been systematically explored in pediatric patients displaying MIS-C or CLLs. Therefore, we analyzed whether children affected with MIS-C or CLLs exhibit evidence of NET dysregulation, compared with adult patients hospitalized with COVID-19, using a multi-cohort approach. Additionally, we evaluated putative mechanisms implicated in NET degradation abnormalities in subsets of patients with COVID-19. Here, we report that levels of NET remnants are elevated in MIS-C and CLLs, in a geographically dependent manner, and in association with specific disease manifestations. Pediatric and adult symptomatic COVID-19 patients displayed impaired NET degradation that did not appear to be genetically driven and was multifactorial. Furthermore, differences in NET levels were observed when comparing different strains of the virus that have been associated with different levels of disease severity and complications. These results highlight a putative pathogenic role of NETs and impairments in NET degradation in pediatric and adult patients affected by COVID-19.
Results
NET remnants are elevated in circulation in children with MIS-C and CLLs.
We quantified NET remnants, as assessed by citrullinated histone H3–DNA (citH3-DNA) and elastase-DNA complexes in pediatric serum or plasma samples collected in medical centers from different regions in Italy, as well as from Chile and the United States. The characteristics of these cohorts are displayed in Table 1. All patients diagnosed with CLLs in Italy and the United States were negative for SARS-CoV-2 by PCR and/or had negative serology, and, to date, none of the patients included in the study have developed evidence of chronic systemic autoimmunity after MIS-C or after CLLs. In the samples from Italy, levels of citH3-DNA and elastase-DNA complexes were significantly higher in children affected by CLLs when compared with healthy controls or patients with MIS-C (Figure 1, A and B). Similarly, samples obtained from children affected by CLLs in the United States displayed significantly elevated levels of elastase-DNA complexes when compared with healthy controls (Figure 1C). While MIS-C samples obtained from Italian cohorts did not show evidence of elevated NET remnants when compared with healthy controls (Figure 1, A and B), a longitudinal assessment of samples obtained from children hospitalized with MIS-C in Chile showed that citH3-DNA complexes were significantly elevated when compared with healthy controls (Figure 1D).
Table 1. Characteristics of the study cohorts.
Given that levels of NETs were elevated in circulation in children presenting with CLLs, we evaluated if NETs were present in the affected tissues from biopsies obtained in the United States. All samples had histopathologic features of CLL and were collected after the beginning of the COVID-19 pandemic in 2020. For control skin samples, we used biopsies obtained prior to the onset of the COVID-19 pandemic. As a marker of NETs, skin specimens from CCL patients in the United States were stained for citrullinated histone H4 (citH4), as previously described (41). We detected evidence of NETs infiltrating the CLL tissues but not the control skin (Figure 1E). CitH4-positive structures tended to localize around blood vessels and in the subcutaneous tissue (Figure 1E).
Levels of citH3-DNA complexes in the Chilean MIS-C cohort associated with requiring cardiac inotropes and with development of lung complications (Figure 1F). Furthermore, levels of citH3-DNA complexes displayed a trend to be elevated in those MIS-C patients who developed shock (as assessed by clinical evidence of insufficient tissue perfusion and signs of compensatory mechanisms; Figure 1F). These results suggest that NETs are present in pediatric COVID-19 patients with specific disease manifestations and are associated with disease severity. The results also illustrate geographic variation among pediatric cohorts in their associations between disease manifestations and the detection of NETs in circulation.
NET degradation is impaired in children with MIS-C and CLLs.
As circulating NET levels were increased in pediatric patients with CLLs and MIS-C, we tested whether NET degradation mechanisms were impaired in these populations. Control neutrophils were stimulated with phorbol myristate acetate (PMA) for 4 hours to generate NETs, followed by addition of 5% serum or plasma from healthy controls or MIS-C or CLL patients for 16 hours to identify NET degraders versus nondegraders. Italian MIS-C and CLL samples displayed a bimodal distribution, where 7/10 (70%) of MIS-C and 3/27 (11%) of CLL samples tested did not significantly degrade the NETs (Figure 2, A–C). In contrast, 26/27 (96%) of MIS-C samples from Chile and all the pediatric CLL samples from the United States displayed significantly impaired NET degradation when compared with control samples (Figure 2, A–C). Indeed, the degree of NET degradation differed between geographic regions. MIS-C samples from Chile displayed significant impairments in ability to degrade NETs when compared with Italian samples (Figure 2A). Furthermore, the ability to degrade NETs by serum samples from CLL patients from the United States was significantly impaired when compared with those CLL samples obtained from Italy (Figure 2B). These results support that patients with MIS-C and CLLs display impairments in their ability to degrade NETs in vitro in a geographically dependent manner.
To elucidate the possible mechanisms involved in NET degradation impairment of MIS-C and CLL samples, we added exogenous recombinant DNase1 to the sera. We hypothesized that, if the mechanism of impaired NET degradation involved improper function of the endogenous nucleases, adding exogenous nucleases would lead to restoration of the clearance mechanisms. Indeed, addition of exogenous DNase1 to MIS-C or CLL serum samples resulted in a significant increase in NET degradation in most samples when compared with MIS-C or CLL samples in the absence of exogenous DNase1 (Figure 2). However, 2/7 (29%) of the MIS-C samples and 1/4 (25%) of the CLL samples did not exhibit restored clearance capacity with the addition of exogenous nucleases (Figure 2). These results suggest that some patients may have circulating DNase1 inhibitors or other mechanisms that interfere with the ability of nucleases to effectively access the NETs for degradation.
Impairments in NET degradation in MIS-C and CLL are multifactorial.
Impaired NET degradation can be secondary to various genetic and acquired factors. To test whether genetic factors that may alter the function of nucleases are involved in the impaired NET degradation observed in pediatric COVID-19, we performed whole-genome sequencing association analysis (WGS) within a subset of patients and conducted variant association analysis for genes encoding enzymes or molecules involved in DNA degradation (DNASE1, DNASE1L3, DNASE1L1, DNASE1L2, DNASE2B, SERPINB1, three prime repair exonuclease 1 [TREX1], and TREX2). The analysis did not reveal any candidate homozygous rare or low-frequency (minor allele frequency [MAF] < 0.1) variants associated with the nondegrader when compared to the degrader group (Supplemental Table 1; supplemental material available online with this article; https://doi.org/10.1172/jci.insight.160332DS1). Furthermore, we did not observe heterozygous common (MAF > 0.1) variants with distribution attributed to the degrader or nondegrader group (Supplemental Table 1). Overall, a targeted genetic association analysis did not produce evidence for associations between genetic alterations in nucleases and impaired NET degradation in the patients. We therefore investigated other factors that may be involved in aberrant NET degradation.
Complement activation and deposition of complement factors in NETs have been linked to NET degradation impairments (42, 43). NETs induced in healthy control neutrophils by PMA stimulation stained positive for C1q when they were incubated with serum or plasma from MIS-C, but not from CLL or control, patients (Figure 3A). This observation suggests that complement activation may play a role in impairing NET degradation in MIS-C. G-actin is a natural inhibitor of DNase1 that can impair NET degradation (44). G-actin levels in the samples from the Chilean MIS-C cohort were significantly elevated when compared with healthy controls (Figure 3B) while they were not elevated in CLLs (Figure 3B). Anti-NET autoantibodies (autoAbs) were previously associated with NET degradation impairments in conditions such as systemic lupus erythematosus, and these autoAbs have been reported in adult patients with COVID-19 (44, 45). Therefore, we tested for their presence in MIS-C or CLL samples. We detected IgG binding to NETs in CLL, but not in MIS-C, samples (Figure 3C) in association with impaired degradation (r = 0.6012, P = 0.0006; Figure 3D). Overall, different factors that include complement activation and increased G-actin levels of and the development of anti-NET Abs were associated with impaired NET degradation in pediatric COVID-19.
Persistently elevated NET remnants are detected in adult patients with symptomatic COVID-19 in association with disease manifestations.
To compare the results obtained in the pediatric population with adults who developed COVID-19, we validated the findings and quantified circulating NETs (citH3-DNA and elastase-DNA complexes) in plasma samples obtained from adult patients admitted to Italian medical centers in Brescia, Turin, and Monza (Table 1). Complexes of citH3-DNA and elastase-DNA were significantly elevated in these patients (Figure 4, A and B). NET complexes were then measured in serum samples collected from Brescia at different days following hospitalization. A significant increase in citH3-DNA complexes was detected in samples collected up to 25 days from the day of hospitalization (Figure 4, C and D). Since infection with SARS-CoV-2 can lead to symptomatic and asymptomatic disease, we asked whether NET complexes would be present in asymptomatic patients infected with SARS-CoV-2. The analysis indicated that circulating NET remnants were significantly lower in asymptomatic when compared with symptomatic patients (Figure 4E). Many COVID-19 patients continue to have clinical complications months after initial diagnosis (46–48). We found that circulating complexes of citH3-DNA were significantly elevated even 3 months after infection diagnosis when compared with healthy controls (Figure 4F). Indeed, there was no significant difference between initial and 3-month postdiagnosis levels of citH3-DNA complexes, although some patients displayed reductions (Figure 4F). These results suggest that increased NET levels in adults with COVID-19 are associated with the presence of symptoms and can persist for several months after initial infection.
NETs associate with disease severity in adult COVID-19.
To gain further insight into the possible role of NETs in the symptoms and complications of COVID-19, we analyzed multiple parameters that were specifically available for the adult COVID-19 Brescia cohort. Serum levels of citH3-DNA complexes were significantly elevated in patients with COVID-19 who were in severe or critical condition (Figure 5A), required intensive care unit (ICU) admission (Figure 5B), developed pneumonia (Figure 5C), or required high-flow oxygen (Table 2). Serum levels of citH3-DNA were not associated with sex, age, death, diabetes, cardiovascular disease, chronic heart failure, and other comorbidities (Table 2). Serum levels of citH3-DNA were significantly decreased in patients who developed COVID-19 and had underlying chronic hypertension, chronic kidney disease, or history of solid malignancy (Table 2). In the adult patient population with COVID-19, levels of serum citH3-DNA were most consistently associated with disease severity, while levels of elastase-DNA followed less consistent and sometimes opposite trends compared with the citH3-DNA levels (Supplemental Table 2).
Table 2. Correlations between citH3-dna complexes and clinical variables in serum samples.
Plasma levels of elastase-DNA and citH3-DNA were not associated with sex, age, death, obesity, autoimmune disorder, or neurological-psychiatric disease (Table 3 and Supplemental Table 3). Both plasma elastase-DNA and citH3-DNA levels were associated with having an underlying diagnosis of cardiovascular disease (Figure 5D), chronic kidney disease (Figure 5E), or a history of solid organ transplantation (Table 3 and Supplemental Table 3). Plasma elastase-DNA was also associated with congestive heart failure (Figure 5F), while plasma citH3-DNA was associated with liver disease (Supplemental Table 3). Of note, levels of NET remnants were similar in adult and pediatric COVID-19 cohorts. Overall, levels of NET remnants were associated with specific disease manifestations and disease severity in adults diagnosed with COVID-19.
Table 3. Correlations between Ela-dna complexes and clinical variables in plasma samples.
NET degradation is impaired in adult patients with COVID-19.
We analyzed NET degradation capability of serum samples obtained from Italian adult COVID-19 patients from Brescia. As observed in the pediatric population, impairments in NET degradation were significantly increased in the serum samples from adult COVID-19 patients when compared with healthy controls (Figure 6A), and the impairment was significantly higher in symptomatic COVID-19 patients when compared with those who were asymptomatic at diagnosis (Figure 6A). Indeed, 86/153 (54%) of the adult COVID-19 samples tested displayed impairments in NET degradation (Figure 6, A and B). We investigated whether the lack of NET degradation persisted after the acute infection period had passed. To address this, we tested the NET degradation ability of serum samples from 20 patients with COVID-19 at initial diagnosis and 3 months later. A significant improvement in NET degradation was observed 3 months after initial infection with SARS-CoV-2, with a reduction of nondegraders from 13/20 (65%) to 5/20 (25%) of the samples tested (Figure 6C).
WGS was also performed in adult patients to determine if there were putative genetic contributions of rare or common variants within genes associated with DNA degradation and their link to NET degradation impairments in adult Italian COVID-19 patients. No common (MAF > 0.1) variants were detected with distribution toward degraders or nondegraders. However, a few candidates of loss-of-function homozygous rare (MAF < 0.1) variants and a very rare heterozygous frameshift variant in DNASE2 were detected in nondegraders (Supplemental Table 4).
As we found evidence of C1q deposition in NETs exposed to MIS-C, but not CLL, we tested if C1q deposition in NETs occurred in adult patients with COVID-19. Confocal microscopy analysis demonstrated C1q deposition in NETs after incubation with symptomatic, but not with control or asymptomatic adult, COVID-19 sera (Figure 6D). Anti-NET autoAbs have been previously reported in adults with COVID-19 (45), and we found them to associate with impaired NET degradation in pediatric CLL samples (Figure 2D). However, we did not find significant levels of anti-NETs autoAbs in the adult COVID-19 samples. Furthermore, levels of anti-NET autoAbs measured in adult COVID-19 samples from Italy did not correlate with impairments in NET degradation (Figure 6E). We quantified autoAbs against the most abundant nucleases in serum: DNase1 and DNase1L3. Levels of autoAbs against DNase1L3, but not against DNase1, were associated with NET degradation impairments (Figure 6, F and G). These results suggest that anti-DNase1L3 Abs may be implicated in impairing clearance of NETs in adult patients with COVID-19. We also found a significant correlation between levels of G-actin and impaired NET degradation in adult COVID-19 serum samples (Figure 6H). Furthermore, longitudinal analysis of patients with COVID-19 demonstrated that G-actin levels were significantly reduced 3 months from initial infection diagnosis (Figure 6I), and these levels significantly correlated (r = 0.3609, P = 0.0221) with NET degradation impairments (Figure 6J). Like the pediatric samples, these results indicate that the impairments in NET degradation in adults with COVID-19 are multifactorial and may be associated with the presence of autoAbs against DNase1L3 and elevated levels of G-actin.
When assessing associations with COVID-19 manifestations and impaired NET degradation in adults, we found associations with moderate and severe clinical phenotype compared with mild phenotype (Figure 7A and Table 4). In addition, NET degradation was significantly impaired in patients with pneumonia, previous neurological manifestations, and history of cancer (Figure 7, B–D).
Table 4. Correlations between impaired NET degradation and clinical variables.
NETs are present in tissues from patients with COVID-19.
Since NETs appear to be associated with various manifestations of COVID-19 and correlate with disease severity, we analyzed if we could detect them in various tissues (lung, heart, spleen, kidney, and liver) available at autopsy from 13 patients who died from disease complications in the United States. We used citH4 marker as a readout of tissue NETs, as described above for the CLL samples. We detected NETs in all these tissues, with variability among patients, including 1 patient who had detectable NETs in all tissues tested (Figure 7E). The organs that displayed more prominent NET infiltrates were the spleen (12/13), kidney (9/13), and lungs (8/13) (Figure 7, F and G), while NET detection in the liver was less prevalent (4/13). In 6 cases, we detected NETs in cardiac tissue (Figure 7F). The characteristics of these patients are displayed in Table 5. These results confirm that NETs are present in various tissues of patients with severe COVID-19.
Table 5. Characteristics of adult patients who died from complications of COVID-19 and whose tissues (n = 13) were used for histology analysis.
Patients with COVID-19 infected with the Omicron variant display decreased NET complexes when compared with infections with other variants.
During the COVID-19 pandemic, many SARS-CoV-2 variants have emerged (49). The Omicron (B.1.1.529) variant is of particular interest for its rapid spread across the world (50). The Omicron variant harbors 37 mutations in the spike protein (51). Although Omicron is more contagious, there is evidence that indicates that it is milder than other variants (52). We hypothesized that unvaccinated adult patients infected with the Omicron variant would display decreased NET levels when compared with those infected with earlier strains (Alpha). Indeed, citH3-DNA complexes measured in plasma from unvaccinated Italian COVID-19 patients from Brescia infected with the Omicron variant were significantly decreased when compared with levels of those infected with the original strain during the first pandemic peak (Figure 8, A and B). In addition, men infected with the Omicron variant (but not women) displayed significantly lower levels of plasma citH3-DNA complexes when compared with those infected with the original strain (Figure 8C). Levels of citH3-DNA complexes were significantly reduced in patients with the Omicron variant who were in critical condition (Figure 8D), required ICU admission (Figure 8E), had hypertension (Figure 8F), and/or required high-flow oxygen when compared with those infected with the earlier variant. In addition, citH3-DNA levels significantly correlated with Eotaxin (r = 0.4390, P = 0.0264, Figure 8G) and IL-1α (r = 0.3906, P = 0.0443, Figure 8H) levels that were quantified in serum samples from the same Omicron-infected Italian patients. Significant correlations were detected between levels of elastase-DNA complexes and levels of IL-16 (r = 0.4210, P = 0.0287; Figure 8I), IL-1α (r = 0.3707, P = 0.0490; Figure 8J), monocyte chemoattractant protein-4 (MCP-4) (r = 0.4318, P = 0.0286; Figure 8K), macrophage inflammatory protein 1β (MIP-1β) (r = 0.4875, P = 0.0125; Figure 8L), and TNF-α (r = 0.5343, P = 0.0076; Figure 8M) in these Omicron-infected patients. Overall, these results indicate that different variants of the virus are associated with differences in the levels of circulating NETs and that infection with the Omicron variant is associated with lower levels of these structures when compared with patients infected with earlier strains.
Discussion
Increasing evidence supports a detrimental role of NETs in COVID-19 pathogenesis. NETs and NET remnants have been detected in adult COVID-19 lung tissues and plasma samples, respectively (30, 38). Our findings expand prior work by demonstrating increased levels of NETs in both MIS-C and CLLs even in the absence of active SARS-CoV-2 infection, as well as an association between circulating NETs and clinical outcomes in pediatric and adult patients from different geographic locations (Supplemental Table 5).
In the present study, we showed that pediatric patients diagnosed with MIS-C and CLL displayed elevations in circulating NETs and in CLL tissue. Impaired NET degradation was also evident and associated with a variety of factors that included complement activation, anti-NET autoAbs, and a natural DNase1 inhibitor, G-actin. As G-actin levels decreased as the disease improved, G-actin induction may be an acute response phenomenon in patients with severe COVID-19 who present with impaired NET degradation. Whether these circulating factors impair NET degradation in vivo remains to be systematically characterized in future studies. Circulating NET levels were associated with comorbidities present in pediatric patients, and there was geographic variability in these findings. Unidentified technical factors associated with sample collection and processing at various centers could, in theory, contribute to these differences. However, the previous observations that SARS-CoV-2 and various COVID-19–associated host factors can directly induce NET formation in this disease (32) support the possibility that environmental or yet-unidentified genetic factors, including SARS-CoV-2 variants, may modulate how neutrophils respond to the infection and associated inflammatory milieu. It will also be important to assess in the future whether the Chilean MIS-C cohort that had higher levels of NETs than the Italian cohort develops stronger associations with autoimmunity features and whether the presence of NETs or NET-associated Abs may show an association with these clinical differences. However, as mentioned in the results section, to date none of the Italian or Chilean patients with MIS-C whom we followed in this study have developed persistent autoimmunity.
NETs are degraded by endogenous DNases that can regulate NET-driven thrombosis (30, 37, 44). Impairments in NET degradation can increase endothelial damage (53) and associate with thrombus formation (32, 37, 54), organ dysfunction, inflammation, and autoimmunity (55). We found that pediatric patients diagnosed with MIS-C or CLLs displayed decreased NET degradation that, in most cases, could be restored with exogenous DNase1. Genetic and environmental factors contribute to decreased DNase1 activity or efficiency. Patients harboring mutations in DNASE1 are at higher risk of developing lupus (56, 57). However, in the WGS, we did not find genetic drivers of impaired nuclease activity, suggesting that environmental factors, such as differences in microbiome composition, UV light exposure, pollutants, and so on, may be involved. Certainly, assessments of larger cohorts of patients will be required to fully exclude genetic drivers of these abnormalities.
Complement activation, presence of natural DNase1 inhibitors, and autoAbs have been reported to contribute to NET degradation impairments in inflammatory and autoimmune conditions (42, 44, 45). We found that impairments of NET degradation in patients with MIS-C were associated with the presence of the natural DNase 1 inhibitor, G-actin, and with enhanced ability for serum C1q to deposit in NETs. In contrast, anti-NET autoAbs were primarily associated with impairments in NET degradation in patients with CLLs. These results highlight the complexity of neutrophil responses following exposure to SARS-CoV-2 and the associations with different disease manifestations. Addition of exogenous DNase 1 to MIS-C and CLL samples restored NET degradation capabilities in most samples, suggesting that treatment with exogenous DNases could be of benefit to decrease NETs in patients with COVID-19. Notably, aerosolized DNases are being evaluated in clinical trials in COVID-19 (ClinicalTrials.gov identifier: NCT04541979).
Consistent with previous publications, circulating NETs were elevated in adult patients with COVID-19 (38). Samples from symptomatic adults who were diagnosed with COVID-19 during the peak of the pandemic in Italy in early 2020 displayed elevated circulating NETs, while samples from asymptomatic infected patients did not. While the mechanisms promoting enhanced NET formation in COVID-19 remain to be further determined, these results provide a putative link between NETs and symptomatic COVID-19. COVID-19–associated NET formation may involve other mechanisms besides direct infection of neutrophils by SARS-CoV-2; this may explain the lack of NET markers found in infected asymptomatic COVID-19 patients, as well as the evidence for enhanced NET formation in CLL and MIS-C, even in the absence of active documented infection. Furthermore, asymptomatic patients did not display significant impairments in NET degradation or the presence of factors that can interfere with the degradation of the NETs. In contrast, NETs were elevated in symptomatic COVID-19 patients, and they remained elevated at least 3 months after infection diagnosis. Whether this delayed resolution of NET dysregulation contributes to the development and persistence of long COVID symptoms or other chronic complications remains to be determined and should be the focus of future work. Furthermore, NETs were present in extrapulmonary COVID-19 tissues such as heart, liver, kidney, and spleen. These results may implicate NETs in extrapulmonary manifestations seen in patients with COVID-19, even after clearing the virus.
Several SARS-CoV-2 variants have emerged during the COVID-19 pandemic. Omicron is the most recent variant of SARS-CoV-2 reported in late 2021 (50) and was identified as a variant of concern because of its rapid spread (51), despite its association with milder symptoms than other variants (52). Circulating NET levels from adult unvaccinated patients infected with the Omicron variant in Italy were significantly reduced when compared with COVID-19 patients infected with the variant of SARS-CoV-2 that affected Italy early in the pandemic (Figure 8). These results could suggest that lower NET formation induced by this variant may contribute, in part, to the milder symptomatology. Alternatively, the milder inflammatory phenotype induced by this strain may account for downstream effects on neutrophils, limiting their ability to produce NET following this infection. Future studies will be needed to further expand the understanding on how different viral strains modulate neutrophil biology, whether some of these differences explain the geographic variation in NET levels and clearance, and the overall implications of these variations in the reported findings.
Various preexisting comorbidities have been associated (58) with higher morbidity and mortality in adult and pediatric patients who develop COVID-19 (11, 12). In our study, there was no consistent association between specific comorbidities and levels of NETs in adult and pediatric populations. Pericarditis, kidney damage, and neurological and psychiatric manifestations are among the clinical manifestations of a subset of patients with COVID-19 (8, 11, 12, 36). While NETs have been detected in lung samples in COVID-19 and patients with ARDS secondary to other causes (58–64), it remains to be determined whether NETs in extrapulmonary tissues during and after COVID-19 in adults and pediatric patients are associated with prognosis, disease manifestations, or development of long COVID. Here, we were able to detect citH4-positive structures in skin from pediatric patients affected by CLLs and in autopsy tissues from adult patients who died from severe COVID-19. Of note, the lung, kidney, and spleen were the organs with most NETs detected, followed by the heart. Enhanced NET formation or diminished NET clearance may increase the risk of organ damage, and the presence of NETs in these extrapulmonary tissues may link these structures with other complications associated with COVID-19. As the biological significance of NETs during COVID-19 is still not completely elucidated, future studies should investigate the potentially deleterious role of NETs in extrapulmonary tissues that may explain part of the pathophysiology of severe COVID-19.
Limitations of the study are primarily derived from the heterogeneity of the cohorts. The clinical sites did not collect the same clinical characteristics during the peak of the pandemic, limiting in some cases the comparisons among groups, as mentioned above. Furthermore, at this point, we do not have comprehensive details regarding the development of chronic complications and/or long COVID ensuing after COVID-19 infection in these cohorts, which would allow us to further elucidate the impact of enhanced NET formation in this condition. It was difficult to assess the impact of specific therapies on NET formation/degradation as detailed information about medication treatment at each center was not available for our analysis. Additionally, we were limited in the collection of samples from patients infected with different SARS-CoV-2 variants. Finally, the pediatric sample size was small, and future studies will be required to confirm these findings in larger cohorts. Despite these limitations, we were able to work with heterogenous and geographically diverse cohorts in both pediatric and adult populations.
In summary, our findings support a link between NET dysregulation and pediatric manifestations of COVID-19 in association with specific disease manifestations. Pediatric and adult symptomatic COVID-19 patients displayed impaired NET degradation that did not appear to be genetically driven. These results highlight a putative pathogenic role of NETs and impairments in NET degradation in pediatric and adult patients affected by COVID-19.
Methods
Sample collection.
Patients fulfilled the CDC’s Health Advisory Case definition for MIS-C, CLLs, and COVID-19. Laboratory confirmation of SARS-CoV-2 infection (positive PCR with/without anti-spike/anti-nucleocapsid serology) was assessed. The severity of the disease in the pediatric and adult COVID-19 cohorts was defined as follows: 1, asymptomatic; 2, mild; 3, moderate; 4, severe; and 5, critical as per the NIH COVID-19 treatment guidelines (65).
Once received in the lab at the local institution, blood samples were immediately centrifuged, and serum/plasma samples were aliquoted and frozen at –20°C, then shipped in dry ice to the NIH. They were thawed only once and processed as described in the appropriate Methods subsection.
For CLL samples obtained from the University of Wisconsin-Madison, patients were prospectively enrolled and consented after the start of the COVID-19 pandemic. Those with prior history of seasonal pernio were included due to speculation for a shared genetic susceptibility with pandemic-associated pernio with other circulating viruses as possible triggers. Affected skin biopsy specimens were obtained from those requiring tissue diagnosis for standard of care. These were formalin-fixed, paraffin-embedded, and sectioned prior to histopathologic diagnosis of CLLs. Laboratory assessments were performed at day 0, at 6–8 weeks, and at 6 months. Samples from healthy individuals without history of COVID-19 symptoms or PCR-confirmed infection were used for serological studies.
The demographic information of controls used for each experiment is included in Supplemental Table 6.
Postmortem tissue collection.
Autopsies were performed and tissues were collected as described (66) in the NCI’s Laboratory of Pathology at the NIH Clinical Center, coordinated by the NIH COVID-19 Autopsy Consortium and following consent of the legal next of kin.
WGS.
Genomic DNA was extracted from patients’ whole blood by an automated nucleic acid sample preparation instrument (QIAGEN QIAsymphony SP) using QIAsymphony DNA Midi Kit. DNA samples were then quantified using a fluorescence dye–based assay (PicoGreen dsDNA reagent, Thermo Fisher Scientific) by microplate reader (Molecular Devices SpectraMax Gemini XS). WGS libraries were generated from fragmented DNA using Illumina TruSeq DNA PCR-Free HT Library Preparation Kit with minor modifications for automation (Hamilton STAR Liquid Handling System). Sequencing libraries were quantified using KAPA qPCR Quantification Kit (Roche Light Cycler 480 Instrument II) and combined as 24-plex pools after normalization and sequencing on an Illumina NovaSeq 6000 using an S4 Reagent Kit (300 cycles) using 151 + 8 + 8 + 151 cycle run parameters. Primary sequencing data were demultiplexed using Illumina HAS2.2 pipeline, and sample-level quality control for base quality, coverage, duplicates, and contamination was conducted. All sequencing data were then processed with Burrows–Wheeler Aligner and Genome Analysis Toolkit best-practice pipeline for alignment and variant calling. Whole-genome association data were deposited at dbGaP under accession number phs002245.v1.p1. Data on the genotyped samples are presented in Supplemental Table 7.
NET complexes ELISA.
A 96-well plate was coated with rabbit polyclonal anti-citH3 (Abcam catalog ab5103) or anti–neutrophil elastase (Calbiochem catalog 481001) at 2.5 μg/mL in PBS overnight at 4°C. Wells were blocked in blocking buffer (1% BSA in PBS) at room temperature (RT) for 1 hour. Plasma or serum were diluted 1:100 in blocking buffer and incubated overnight at 4°C. After washing 3 times with washing buffer (0.05% Tween in PBS), samples were incubated with mouse monoclonal anti–double stranded DNA Ab (MilliporeSigma, clone BV16-13, MAB030) at 1:100 in blocking buffer for 1 hour at RT. The plate was washed 3 times and incubated with goat anti-mouse conjugated HRP Ab (1:10,000) (Bio-Rad, catalog 1706516) for 1 hour at RT. Wells were washed 5 times with 0.05% Tween in PBS followed by addition of 100 μL of TMB substrate (MilliporeSigma) and 50 μL of 0.16 M sulfuric acid stop solution (MilliporeSigma). Absorbance was measured at 450 nm on an ELISA plate reader (Synergy HT, Bio-Tek). ELISA was performed multiple times to ensure reproducibility after freeze-and-thaw cycles and even at high temperature (60°C) for 30 minutes. Data are provided in Supplemental Table 8.
NET degradation assay.
Control neutrophils were isolated by Ficoll density gradient as described (41). Red blood cells were lysed using hypotonic and hypertonic NaCl buffers. Control neutrophils were resuspended in unsupplemented RPMI (1 × 106 cells/mL) (Thermo Fisher Scientific) and were stimulated with PMA (MilliporeSigma; 500 ng/mL). A total of 100 μL/well was plated in 96-well black plates and incubated for 4 hours at 37°C to induce NETs. Following stimulation, formed NETs were treated with 5% serum from either healthy controls or patients for 16 hours at 37°C. Wells were stained with 0.2 μM SYTOX green (Thermo Fisher Scientific) for 5 minutes. The plate was read using a microplate reader (Synergy HT, Bio-Tek). Results are presented as RFU. Wells were visualized to corroborate the presence or the absence of NETs using the ZOE microscope (Bio-Rad).
Detection of NETs in tissue specimens.
Parafilm-embedded samples were processed as described (41).
Immunofluorescence.
Neutrophils were fixed in 4% paraformaldehyde in PBS overnight at 4°C, washed, and blocked with 0.2% porcine gelatin (MilliporeSigma) for 30 minutes, then incubated with primary Ab (anti-C1q, Dako, catalog a0136; or patient serum) for 1 hour in a humid chamber at 37°C. Coverslips were then washed 3 times and incubated 30 minutes with secondary Abs at 37°C: cit-H4 (MilliporeSigma, catalog 07-596), goat anti-rabbit IgG (Invitrogen, catalog A32731), and goat anti-human IgG (Invitrogen, catalog A-11013). Nuclei were counterstained with 1:1000 Hoechst at RT. After washing 3 more times, coverslips were mounted on glass slides using Prolong Gold solution (Invitrogen). Images were acquired on a Zeiss LSM 780 confocal microscope.
Anti-DNase1, anti-DNase1L3, and NET Ab detection.
A 96-well plate was coated with 2.5 μg/mL of PMA-generated NETs, recombinant DNase1 (Abcam), or DNase1L3 (MyBioSource) in PBS overnight at 4°C. The plate was blocked with 1% BSA for 1 hour, at RT. One microgram of total protein from control or patient skin samples or diluted (1:200) sera were incubated overnight at 4°C. The plate was washed 4 times with 0.05% PBS-Tween (PBS-T). HRP-conjugated anti-human IgG secondary Ab (1:5000; MilliporeSigma, catalog AP309P) was incubated for 1 hour, at RT, followed by 5 washes with PBS-T. The plate was developed in the presence of TMB and read at 450 nm using a microplate reader (Synergy HT, Bio-Tek). Results are presented as OD index (ratio of the OD in the patient serum to the mean OD in healthy control serum).
G-actin ELISA.
Serum G-actin levels were detected using a commercially available G-Actin ELISA kit (MyBioSource) following the manufacturer’s instructions.
Measurement of soluble biomarkers.
Cytokine/biomarker analysis was performed on EDTA-treated tube plasma obtained from either patients or healthy volunteers. Duplicate determinations of control samples and samples from healthy volunteers yielded coefficients of variation that were normally less than 20%. Aliquots were stored in a –85°C freezer prior to analysis. Cytokines (IL-1β, IL-1α, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL-10, IL-12p70, IL-12p40, IL-13, IL-15, IL-16, IL-17, IFN-γ, TNF-α, TNF-β, GM-CSF, VEGF, CCL-11/eotaxin-1, CCL26/eotaxin-3, CXCL10/IP-10, MCP-1/CCL2, MCP-4/CCL13, CCL22/MDC, MIP-1α/CCL3, MIP-1β/CCL4, CCL17/TARC) were measured using the V-PLEX Human Cytokine 30-Plex Kit (Meso Scale Discovery) and analyzed on a QuickPlex SQ 120 reader (Meso Scale Discovery) according to the manufacturer’s specifications. Standard curves were analyzed using nonlinear curve fitting, and unknowns were calculated based on the derived equation. Samples that exceeded the highest standards were reanalyzed after dilution until the values fell within the range of the known standards. Two control plasma samples and a control sample spiked with a known quantity of each analyte were analyzed on each plate to assess the interplate variation and to determine the effect of the biological matrix on the measurement of each analyte. For most analytes, the control samples had <25% variation from plate to plate, and the recoveries were generally >70%.
Statistics.
Data were processed using R version 4.0 and the tidyverse package. All figures were created and associated statistical analyses were performed using GraphPad Prism Version 8.1.1. Mann-Whitney U test was used for pairwise comparisons. One-way ANOVA Kruskal-Wallis test (Dunn’s multiple-comparison test) was used to compare parameters among groups. Pearson correlation was used for all noncategorical statistics. All analyses were considered statistically significant at P < 0.05.
Study approval.
All individuals were enrolled in protocols approved by local institutional review boards: Comité Ético Científico Facultad de Medicina Clínica Alemana Universidad del Desarrollo, Santiago, Chile (protocol 2020-41); Comitato Etico Interaziendale A.O.U. Città della Salute e della Scienza di Torino, Turin, Italy (protocol 00282/2020); Ethics Committee of the University of Naples Federico II, Naples, Italy (protocol 158/20); Comitato Etico Provinciale of Brescia, Brescia, Italy (protocol NP-4000); San Gerardo Hospital – University of Milano Bicocca, Monza, Italy; NIAID, NIH (protocols NCT04582903, NCT03394053 and NCT03610802), Bethesda, Maryland, USA; and University of Wisconsin-Madison (protocol 2020-0667), Madison, Wisconsin, USA. All patients gave written informed consent according to all IRBs used.
Author contributions
CCR designed and performed the experiments, analyzed the data, and wrote the manuscript. TEM and DRC participated in statistical analysis of clinical samples. HCS, YZ, AJO, and CLD performed WGS. KD, RC, HK, DD, MT, OMD, FL, UR, NC, LI, AS, VQ, CF, VD, ALV, LP, AC, MCPH, AB, PB, YE, CA, ERJ, CV, JDLC, RG, CP, JWM, AN, AP, BD, JM, EWC, SEW, MM, AG, MAS, GM, KB, and LDN collected and provided clinical specimens and clinical data, reviewed the manuscript, and provided scientific input. KD, SEW, HCS, DSC, and LDN provided advice and helpful suggestions on project design. JWM, AN, AP, BD, SMH, LMA, and DSC provided tissue specimens and clinical data; DLF and DBK performed cytokine analysis; and MJK planned the project, supervised the work, and wrote the manuscript.
Supplementary Material
Acknowledgments
Studies were supported by the Intramural Research Program at NIAMS (ZIAAR041199 to MJK), NIAID (ZIA AI001270-01 to LDN and ZIAAI001265 to HCS), and NIDCR (ZIADE000747 to JM), NIH; the Wisconsin Partnership Program 2020 Strategic COVID-19 Grant (to LMA); FONDECYT 11181222 (to MCPH); ANID 0999 (to MCPH); and Regione Lombardia. We thank Smilee Samuel, Jason Barnett, and Sandhya Xirasagar for Labkey infrastructure; Helen Matthews for logistical help; and Justin Lack for biostatistical support. See Supplemental Acknowledgments for NIH COVID Autopsy Consortium and COVID STORM Clinicians details.
The contents of this publication do not necessarily reflect the views, opinions, or policies of the USUHS or the US Department of Defense.
Version 1. 07/19/2022
In-Press Preview
Version 2. 08/22/2022
Electronic publication
Version 3. 10/05/2022
Updated supplemental materials
Footnotes
Conflict of interest: The authors have declared that no conflict of interest exists.
Copyright: © 2022, Carmona-Rivera et al. This is an open access article published under the terms of the Creative Commons Attribution 4.0 International License.
Reference information: JCI Insight. 2022;7(16):e160332.https://doi.org/10.1172/jci.insight.160332.
Contributor Information
Carmelo Carmona-Rivera, Email: carmelo.carmona-rivera@nih.gov.
Yu Zhang, Email: yu.zhang@nih.gov.
Kerry Dobbs, Email: kerry.dobbs@nih.gov.
Tovah E. Markowitz, Email: tovah.markowitz@nih.gov.
Clifton L. Dalgard, Email: clifton.dalgard@usuhs.edu.
Andrew J. Oler, Email: andrew.oler@nih.gov.
Dillon R. Claybaugh, Email: dillon.claybaugh@nih.gov.
Deborah Draper, Email: draperde@mail.nih.gov.
Meng Truong, Email: pooi.truong@nih.gov.
Ottavia M. Delmonte, Email: Ottavia.delmonte@nih.gov.
Francesco Licciardi, Email: francesco.licciardi@gmail.com.
Ugo Ramenghi, Email: ugo.ramenghi@unito.it.
Nicoletta Crescenzio, Email: nicoletta.crescenzio@unito.it.
Luisa Imberti, Email: limberti@yahoo.it.
Alessandra Sottini, Email: alessandra.sottini@asst-spedalicivili.it.
Virginia Quaresima, Email: quaresima.virginia@gmail.com.
Chiara Fiorini, Email: chiara.fiorini18@gmail.com.
Valentina Discepolo, Email: vale.discepolo@gmail.com.
Andrea Lo Vecchio, Email: andrealovecchio@gmail.com.
Alfredo Guarino, Email: alfguari@unina.it.
Luca Pierri, Email: luca.pierri90@gmail.com.
Andrea Catzola, Email: andreacatzola@gmail.com.
Andrea Biondi, Email: andrea.biondi@unimib.it.
Paolo Bonfanti, Email: paolo.bonfanti@unimib.it.
Emma Rey-Jurado, Email: emmareyjurado@gmail.com.
Cecilia Vial, Email: mcvial@udd.cl.
Ricardo Gonzalez, Email: ricardoglezleon@gmail.com.
Cecilia Pinera, Email: ceciliapinera@gmail.com.
Jacqueline W. Mays, Email: jacqueline.mays@nih.gov.
Ashley Ng, Email: ang@dermatology.wisc.edu.
Andrew Platt, Email: andrew.platt@nih.gov.
John Moon, Email: moonj4@mail.uc.edu.
Edward W. Cowen, Email: cowene@mail.nih.gov.
Heather Kenney, Email: heather.kenney@nih.gov.
Sarah E. Weber, Email: sarah.weber@nih.gov.
Riccardo Castagnoli, Email: riccardo.castagnoli@nih.gov.
Karyl Barron, Email: kbarron@nih.gov.
Danielle L. Fink, Email: danielle.fink@nih.gov.
Douglas B. Kuhns, Email: dkuhns@mail.nih.gov.
Stephen M. Hewitt, Email: genejock@helix.nih.gov.
Lisa M. Arkin, Email: larkin@dermatology.wisc.edu.
Daniel S. Chertow, Email: chertowd@cc.nih.gov.
Helen C. Su, Email: Hsu@niaid.nih.gov.
Luigi D. Notarangelo, Email: luigi.notarangelo2@nih.gov.
Mariana J. Kaplan, Email: kaplanmj@mail.nih.gov.
References
- 1.Atzrodt CL, et al. A guide to COVID-19: a global pandemic caused by the novel coronavirus SARS-CoV-2. FEBS J. 2020;287(17):3633–3650. doi: 10.1111/febs.15375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Li Q, et al. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. N Engl J Med. 2020;382(13):1199–1207. doi: 10.1056/NEJMoa2001316. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Tao K, et al. The biological and clinical significance of emerging SARS-CoV-2 variants. Nat Rev Genet. 2021;22(12):757–773. doi: 10.1038/s41576-021-00408-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Hu B, et al. The cytokine storm and COVID-19. J Med Virol. 2021;93(1):250–256. doi: 10.1002/jmv.26232. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Costela-Ruiz VJ, et al. SARS-CoV-2 infection: the role of cytokines in COVID-19 disease. Cytokine Growth Factor Rev. 2020;54:62–75. doi: 10.1016/j.cytogfr.2020.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Diorio C, et al. Evidence of thrombotic microangiopathy in children with SARS-CoV-2 across the spectrum of clinical presentations. Blood Adv. 2020;4(23):6051–6063. doi: 10.1182/bloodadvances.2020003471. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Miesbach W, Makris M. COVID-19: coagulopathy, risk of thrombosis, and the rationale for anticoagulation. Clin Appl Thromb Hemost. 2020;26:1076029620938149. doi: 10.1177/1076029620938149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Vinayagam S, Sattu K. SARS-CoV-2 and coagulation disorders in different organs. Life Sci. 2020;260:118431. doi: 10.1016/j.lfs.2020.118431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Azkur AK, et al. Immune response to SARS-CoV-2 and mechanisms of immunopathological changes in COVID-19. Allergy. 2020;75(7):1564–1581. doi: 10.1111/all.14364. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Chen Y, et al. Aging in COVID-19: vulnerability, immunity and intervention. Ageing Res Rev. 2021;65:101205. doi: 10.1016/j.arr.2020.101205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Yang J, et al. Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis. Int J Infect Dis. 2020;94:91–95. doi: 10.1016/j.ijid.2020.03.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Ejaz H, et al. COVID-19 and comorbidities: deleterious impact on infected patients. J Infect Public Health. 2020;13(12):1833–1839. doi: 10.1016/j.jiph.2020.07.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Rowley AH. Understanding SARS-CoV-2-related multisystem inflammatory syndrome in children. Nat Rev Immunol. 2020;20(8):453–454. doi: 10.1038/s41577-020-0367-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Nakra NA, et al. Multi-system inflammatory syndrome in children (MIS-C) following SARS-CoV-2 infection: review of clinical presentation, hypothetical pathogenesis, and proposed management. Children (Basel) 2020;7(7):69. doi: 10.3390/children7070069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Noval Rivas M, et al. COVID-19-associated multisystem inflammatory syndrome in children (MIS-C): a novel disease that mimics toxic shock syndrome-the superantigen hypothesis. J Allergy Clin Immunol. 2021;147(1):57–59. doi: 10.1016/j.jaci.2020.10.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Consiglio CR, et al. The immunology of multisystem inflammatory syndrome in children with COVID-19. Cell. 2020;183(4):968–981. doi: 10.1016/j.cell.2020.09.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Baeck M, Herman A. COVID toes: where do we stand with the current evidence? Int J Infect Dis. 2021;102:53–55. doi: 10.1016/j.ijid.2020.10.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Frumholtz L, et al. Type I interferon response and vascular alteration in chilblain-like lesions during the COVID-19 outbreak. Br J Dermatol. 2021;185(6):1176–1185. doi: 10.1111/bjd.20707. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.McCleskey PE, et al. Epidemiologic analysis of chilblains cohorts before and during the COVID-19 pandemic. JAMA Dermatol. 2021;157(8):947–953. doi: 10.1001/jamadermatol.2021.2120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Hernandez C, Bruckner AL. Focus on “COVID Toes”. JAMA Dermatol. 2020;156(9):1003. doi: 10.1001/jamadermatol.2020.2062. [DOI] [PubMed] [Google Scholar]
- 21.Andina D, et al. Chilblains in children in the setting of COVID-19 pandemic. Pediatr Dermatol. 2020;37(3):406–411. doi: 10.1111/pde.14215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Kanitakis J, et al. Chilblain-like acral lesions during the COVID-19 pandemic (“COVID toes”): histologic, immunofluorescence, and immunohistochemical study of 17 cases. J Am Acad Dermatol. 2020;83(3):870–875. doi: 10.1016/j.jaad.2020.05.145. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Massey PR, Jones KM. Going viral: a brief history of chilblain-like skin lesions (“COVID toes”) amidst the COVID-19 pandemic. Semin Oncol. 2020;47(5):330–334. doi: 10.1053/j.seminoncol.2020.05.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Kolivras A, et al. A clinicopathological description of COVID-19-induced chilblains (COVID-toes) correlated with a published literature review. J Cutan Pathol. 2022;49(1):17–28. doi: 10.1111/cup.14099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Hubiche T, et al. Clinical, laboratory, and interferon-alpha response characteristics of patients with chilblain-like lesions during the COVID-19 pandemic. JAMA Dermatol. 2021;157(2):202–206. doi: 10.1001/jamadermatol.2020.4324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Carter MJ, et al. Peripheral immunophenotypes in children with multisystem inflammatory syndrome associated with SARS-CoV-2 infection. Nat Med. 2020;26(11):1701–1707. doi: 10.1038/s41591-020-1054-6. [DOI] [PubMed] [Google Scholar]
- 27.Agbuduwe C, Basu S. Haematological manifestations of COVID-19: from cytopenia to coagulopathy. Eur J Haematol. 2020;105(5):540–546. doi: 10.1111/ejh.13491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Borges L, et al. COVID-19 and neutrophils: the relationship between hyperinflammation and neutrophil extracellular traps. Mediators Inflamm. 2020;2020:8829674. doi: 10.1155/2020/8829674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Veras FP, et al. SARS-CoV-2-triggered neutrophil extracellular traps mediate COVID-19 pathology. J Exp Med. 2020;217(12):e20201129. doi: 10.1084/jem.20201129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Barnes BJ, et al. Targeting potential drivers of COVID-19: neutrophil extracellular traps. J Exp Med. 2020;217(6):e20200652. doi: 10.1084/jem.20200652. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Brinkmann V, et al. Neutrophil extracellular traps kill bacteria. Science. 2004;303(5663):1532–1535. doi: 10.1126/science.1092385. [DOI] [PubMed] [Google Scholar]
- 32.Middleton EA, et al. Neutrophil extracellular traps contribute to immunothrombosis in COVID-19 acute respiratory distress syndrome. Blood. 2020;136(10):1169–1179. doi: 10.1182/blood.2020007008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Leppkes M, et al. Vascular occlusion by neutrophil extracellular traps in COVID-19. EBioMedicine. 2020;58:102925. doi: 10.1016/j.ebiom.2020.102925. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Barbosa LC, et al. Endothelial cells and SARS-CoV-2: an intimate relationship. Vascul Pharmacol. 2021;137:106829. doi: 10.1016/j.vph.2021.106829. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Colmenero I, et al. SARS-CoV-2 endothelial infection causes COVID-19 chilblains: histopathological, immunohistochemical and ultrastructural study of seven paediatric cases. Br J Dermatol. 2020;183(4):729–737. doi: 10.1111/bjd.19327. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Khaddaj-Mallat R, et al. SARS-CoV-2 deregulates the vascular and immune functions of brain pericytes via Spike protein. Neurobiol Dis. 2021;161:105561. doi: 10.1016/j.nbd.2021.105561. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Zuo Y, et al. Neutrophil extracellular traps and thrombosis in COVID-19. J Thromb Thrombolysis. 2021;51(2):446–453. doi: 10.1007/s11239-020-02324-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Zuo Y, et al. Neutrophil extracellular traps in COVID-19. JCI Insight. 2020;5(11):e20201129. doi: 10.1172/jci.insight.138999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Schurink B, et al. Viral presence and immunopathology in patients with lethal COVID-19: a prospective autopsy cohort study. Lancet Microbe. 2020;1(7):e290–e299. doi: 10.1016/S2666-5247(20)30144-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Radermecker C, et al. Neutrophil extracellular traps infiltrate the lung airway, interstitial, and vascular compartments in severe COVID-19. J Exp Med. 2020;217(12):e20201012. doi: 10.1084/jem.20201012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Carmona-Rivera C, et al. A role for muscarinic receptors in neutrophil extracellular trap formation and levamisole-induced autoimmunity. JCI Insight. 2017;2(3):e89780. doi: 10.1172/jci.insight.89780. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Leffler J, et al. Neutrophil extracellular traps that are not degraded in systemic lupus erythematosus activate complement exacerbating the disease. J Immunol. 2012;188(7):3522–3531. doi: 10.4049/jimmunol.1102404. [DOI] [PubMed] [Google Scholar]
- 43.Skendros P, et al. Complement and tissue factor-enriched neutrophil extracellular traps are key drivers in COVID-19 immunothrombosis. J Clin Invest. 2020;130(11):6151–6157. doi: 10.1172/JCI141374. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Hakkim A, et al. Impairment of neutrophil extracellular trap degradation is associated with lupus nephritis. Proc Natl Acad Sci U S A. 2010;107(21):9813–9818. doi: 10.1073/pnas.0909927107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Zuo Y, et al. Autoantibodies stabilize neutrophil extracellular traps in COVID-19. JCI Insight. 2021;6(15):e150111. doi: 10.1172/jci.insight.150111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Higgins V, et al. COVID-19: from an acute to chronic disease? Potential long-term health consequences. Crit Rev Clin Lab Sci. 2021;58(5):297–310. doi: 10.1080/10408363.2020.1860895. [DOI] [PubMed] [Google Scholar]
- 47.Bagnato S, et al. Critical illness myopathy after COVID-19. Int J Infect Dis. 2020;99:276–278. doi: 10.1016/j.ijid.2020.07.072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Huang C, et al. 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study. Lancet. 2021;397(10270):220–232. doi: 10.1016/S0140-6736(20)32656-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. [No author listed.] COVID research: a year of scientific milestones. Nature. Published May 5, 2021. Accessed August 1, 2022. [DOI] [PubMed]
- 50.Callaway E. Heavily mutated Omicron variant puts scientists on alert. Nature. 2021;600(7887):21. doi: 10.1038/d41586-021-03552-w. [DOI] [PubMed] [Google Scholar]
- 51.Mannar D, et al. SARS-CoV-2 Omicron variant: antibody evasion and cryo-EM structure of spike protein-ACE2 complex. Science. 2022;375(6582):760–764. doi: 10.1126/science.abn7760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Nealon J, Cowling BJ. Omicron severity: milder but not mild. Lancet. 2022;399(10323):412–413. doi: 10.1016/S0140-6736(22)00056-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Carmona-Rivera C, et al. Neutrophil extracellular traps induce endothelial dysfunction in systemic lupus erythematosus through the activation of matrix metalloproteinase-2. Ann Rheum Dis. 2015;74(7):1417–1424. doi: 10.1136/annrheumdis-2013-204837. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Wolach O, et al. Increased neutrophil extracellular trap formation promotes thrombosis in myeloproliferative neoplasms. Sci Transl Med. 2018;10(436):eaan8292. doi: 10.1126/scitranslmed.aan8292. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Knight JS, et al. Proteins derived from neutrophil extracellular traps may serve as self-antigens and mediate organ damage in autoimmune diseases. Front Immunol. 2012;3:380. doi: 10.3389/fimmu.2012.00380. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Yasutomo K, et al. Mutation of DNASE1 in people with systemic lupus erythematosus. Nat Genet. 2001;28(4):313–314. doi: 10.1038/91070. [DOI] [PubMed] [Google Scholar]
- 57.Hartl J, et al. Autoantibody-mediated impairment of DNASE1L3 activity in sporadic systemic lupus erythematosus. J Exp Med. 2021;218(5):e20201138. doi: 10.1084/jem.20201138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Biron BM, et al. PAD4 deficiency leads to decreased organ dysfunction and improved survival in a dual insult model of hemorrhagic shock and sepsis. J Immunol. 2018;200(5):1817–1828. doi: 10.4049/jimmunol.1700639. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.de Oliveira GP, et al. Glutamine therapy reduces inflammation and extracellular trap release in experimental acute respiratory distress syndrome of pulmonary origin. Nutrients. 2019;11(4):831. doi: 10.3390/nu11040831. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Pottecher J, et al. Protocol for TRAUMADORNASE: a prospective, randomized, multicentre, double-blinded, placebo-controlled clinical trial of aerosolized dornase alfa to reduce the incidence of moderate-to-severe hypoxaemia in ventilated trauma patients. Trials. 2020;21(1):274. doi: 10.1186/s13063-020-4141-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Grailer JJ, Ward PA. Lung inflammation and damage induced by extracellular histones. Inflamm Cell Signal. 2014;1(4):e131. doi: 10.14800/ics.131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Scott BNV, Kubes P. Death to the neutrophil! A resolution for acute respiratory distress syndrome? Eur Respir J. 2018;52(2):1801274. doi: 10.1183/13993003.01274-2018. [DOI] [PubMed] [Google Scholar]
- 63.Surolia R, et al. NETosis in the pathogenesis of acute lung injury following cutaneous chemical burns. JCI Insight. 2021;6(10):e147564. doi: 10.1172/jci.insight.147564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Sercundes MK, et al. Targeting neutrophils to prevent malaria-associated acute lung injury/acute respiratory distress syndrome in mice. PLoS Pathog. 2016;12(12):e1006054. doi: 10.1371/journal.ppat.1006054. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. NIH COVID-19 Treatment Guidelines Panel. Coronavirus Disease 2019 (COVID-19) Treatment Guidelines. https://www.covid19treatmentguidelines.nih.gov/ Updated May 31, 2022. Accessed August 1, 2022.
- 66.Huang N, et al. SARS-CoV-2 infection of the oral cavity and saliva. Nat Med. 2021;27(5):892–903. doi: 10.1038/s41591-021-01296-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.