| Literature DB >> 34255566 |
Frans A Kuypers1, Christina A Rostad2,3,4, Evan J Anderson2,3,4,5, Ann Chahroudi2,3,4, Preeti Jaggi2,3, Jens Wrammert2,4, Grace Mantus2, Rajit Basu2,3, Frank Harris2, Bradley Hanberry2, Andres Camacho-Gonzalez2,3,4, Shaminy Manoranjithan3, Miriam Vos2,3,6, Lou Ann Brown2, Claudia R Morris2,3,6.
Abstract
Secretory phospholipase 2 (sPLA2) acts as a mediator between proximal and distal events of the inflammatory cascade. Its role in SARS-CoV-2 infection is unknown, but could contribute to COVID-19 inflammasome activation and cellular damage. We present the first report of plasma sPLA2 levels in adults and children with COVID-19 compared with controls. Currently asymptomatic adults with a history of recent COVID-19 infection (≥4 weeks before) identified by SARS-CoV-2 IgG antibodies had sPLA2 levels similar to those who were seronegative (9 ± 6 vs.17 ± 28 ng/mL, P = 0.26). In contrast, children hospitalized with severe COVID-19 had significantly elevated sPLA2 compared with those with mild or asymptomatic SARS-CoV-2 infection (269 ± 137 vs. 2 ± 3 ng/mL, P = 0.01). Among children hospitalized with multisystem inflammatory syndrome in children (MIS-C), all had severe disease requiring pediatric intensive care unit (PICU) admission. sPLA2 levels were significantly higher in those with acute illness <10 days versus convalescent disease ≥10 days (540 ± 510 vs. 2 ± 1, P = 0.04). Thus, sPLA2 levels correlated with COVID-19 severity and acute MIS-C in children, implicating a role in inflammasome activation and disease pathogenesis. sPLA2 may be a useful biomarker to stratify risk and guide patient management for children with acute COVID-19 and MIS-C. Therapeutic compounds targeting sPLA2 and inflammasome activation warrant consideration.Entities:
Keywords: COVID-19; SARS-CoVC-2; multisystem inflammatory syndrome in children; secretory phospholipase A2
Mesh:
Substances:
Year: 2021 PMID: 34255566 PMCID: PMC8649422 DOI: 10.1177/15353702211028560
Source DB: PubMed Journal: Exp Biol Med (Maywood) ISSN: 1535-3699
Healthcare Worker Cohort demographics and laboratory values.
| Variables | All ( | Seropositive ( | Seronegative ( |
|
|---|---|---|---|---|
| Age range years, median | 41–50 | 41–50 | 41–50 | 1 |
| Gender, male (%) | 29% | 29% | 29% | 1 |
| Laboratory values | ||||
| CRP (µg/mL) | 1.5 ± 1.8 | 2.0 ± 2.7 | 1.1 ± 0.7 | 0.33 |
| F1 + 2 (pmol/mL) | 0.45 ± 0.13 | 0.44 ± 0.16 | 0.45 ± 0.12 | 0.77 |
| sPLA2 (ng/mL) | 13 ± 21 | 9 ± 6 | 17 ± 28 | 0.26 |
CRP: C-reactive protein; F1.2: fragment 1.2; sPLA2: secretory phospholipase 2.
Mann-Whitney U test, Fischer’s exact test, or unpaired Student’s t-test; alpha = 0.05. Data are represented as median for ordinal data, N (%) for nominal data or mean ± SD for continuous data.
Pediatric patient demographics, laboratory values, and clinical course.
| Variables | All ( | COVID-19( | MIS-C( | Kawasaki( | Fevera( | |
|---|---|---|---|---|---|---|
| Age, years, mean ± SD | 9.9 ± 5.9 | 15.6 ± 5.8 | 8.8 ± 3.3 | 4.3 ± 3.2 | 5.7 ± 4.7 | 0.004 |
| Gender: male, | 13 (59%) | 3 (43%) | 5 (56%) | 2 (67%) | 3 (100%) | 0.398 |
| LOS (days), mean ± SD | 14.0 ± 17.1 | 24.3 ± 27.2 | 12.0 ± 6.7 | 5.7 ± 2.1 | 4.0 ± 1.0 | 0.225 |
| PICU: yes, | 14 (64%) | 4 (57%) | 9 (100%) | 1 (33%) | 0 (0%) | 0.008 |
| Laboratory valuesc | ||||||
| PCR+, | 9 (41%) | 7 (100%) | 2 (22%) | 0 (0%) | 0 (0%) | 0.001 |
| IgG+, | 9/14 (64%) | 1 (50%) | 8 (89%) | 0 (0%) | 0 (0%) | 0.008 |
| WBCd ×103 (cells/µL) | 24.2 ± 42.2 | 59.1 ± 70.6 | 9.3 ± 4.7 | 14.7 ± 2.2 | 8.5 ± 6.3 | 0.004 |
| CRP (µg/mL) | 14.5 ± 8.7 | 12.0 ± 13.0 | 15.7 ± 7.9 | 19.3 ± 1.4 | 8.8 ± 2.3 | 0.448 |
| D-dimers (ng/mL) | 2401 ± 1679 | 1530 ± 530 | 3056 ± 1793 | 2792 ± 0 | 563 ± 393 | 0.204 |
| sPLA2 (ng/mL) | 190 ± 306 | 155 ± 172 | 301 ± 459 | 49 ± 67 | 33 ± 22 | 0.506 |
CRP: C-reactive protein; IgG: Immunoglobulin G; LOS: length of stay; MIS-C: multisystem inflammatory syndrome in children; PCR: polymerase chain reaction; PICU: pediatric intensive care unit; sPLA2: secretory phospholipase 2; WBC: white blood cell.
aExcluded febrile patients with Epstein-Barr virus/hemophagocytic lymphohistiocytosis and Brucellosis.
bOne-way ANOVA for continuous variables or Chi-square test for categorical variables, alpha = 0.05. Data are represented as mean ± SD for continuous data or N (%) for nominal data.
cDenominators represent the number of patients in each group for whom testing was performed.
dTwo patients with COVID-19 had new diagnoses acute myelogenous leukemia (AML) and highly elevated WBC.
Figure 1.Secretory phospholipase A2 (sPLA2) levels in hospitalized children. Plasma sPLA2 levels (ng/mL) in symptomatic children diagnosed with acute COVID-19 infection (filled circles, n = 4) or multiorgan inflammatory syndrome in children (MIS-C) tested within 10 days of initiation of illness (filled circles, N = 5), subclinical children found to be RT-PCR positive for SARS-CoV-2 infection, screened due to hospitalization for other causes (unfilled triangle, N = 3) and those with MIS-C where blood sample was drawn during convalescences (>10 days after initiation of symptoms, with a range of 11–35 days, N = 4). Plasma sPLA2 levels are high in children with acute COVID-19 infection compared with a normal value <20 ng/mL, with highest sPLA2 levels identified in patients with MIS-C within 10 days of onset of symptoms. sPLA2 levels were significantly higher in patients with symptomatic COVID-19 infection or MIS-C within 10 days of onset of symptoms, compared with subclinical and convalescent patient samples (P = 0.01). A two-sided unpaired Student’s t-test was used to determine significant differences between acute and convalescent samples.
Figure 2.Secretory phospholipase A2 (sPLA2)-related COVID-19 inflammasome. Simplified scheme of processes that will lead to vascular damage and multiorgan failure in COVID-19 patients. Cytokines initiate the production of sPLA2. Invasion by the virus renders the cell apoptotic, a process that activates phosphatidylserine (PS) exposure, a signal for cell removal. Overwhelming numbers of PS exposing cells are targets for sPLA2, generating lysophospholipids and fatty acids, powerful detergents that will damage additional cells if not properly buffered. PS exposure will also activate the prothrombinase complex, starting the coagulation process.