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Enregistrement W4388441625 · doi:10.1055/a-2205-0014

Protease-Activated Receptor-1 IgG Autoantibodies in Patients with COVID-19

2023· letter· en· W4388441625 sur OpenAlexaff
Leander Reinshagen, Vanasa Nageswaran, Harald Heidecke, Kai Schulze‐Forster, Anne‐Christin Beatrice Wilde, Pegah Ramezani Rad, Wolfgang Poller, E. Asmus, Szandor Simmons, Wolfgang M. Kuebler, Martin Witzenrath, Lajos Markó, Kai Jakobs, Marianna Puccini, David M. Leistner, Ursula Rauch‐Kröhnert, Nicolle Kränkel, Sofia K. Forslund, Ulf Landmesser, Dominik N. Müller, Arash Haghikia

Notice bibliographique

RevueThrombosis and Haemostasis · 2023
Typeletter
Langueen
DomaineMedicine
ThématiqueHeparin-Induced Thrombocytopenia and Thrombosis
Établissements canadiensUniversity of TorontoSt. Michael's Hospital
Organismes subventionnairesDeutsche ForschungsgemeinschaftDeutsches Zentrum für Herz-Kreislaufforschung
Mots-clésAutoantibodyMedicineCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)ProteaseImmunologyInternal medicineGastroenterologyVirologyAntibodyChemistryBiochemistryInfectious disease (medical specialty)EnzymeDisease

Résumé

récupéré en direct d'OpenAlex

Letter to: COVID-19 Patients Putting on the Brakes with PAR1 Autoantibodies Thromb Haemost 2024; 124(12): 1167-1168 DOI: 10.1055/a-2442-9667 COVID-19 Patients Putting on the Brakes with PAR1 Autoantibodies Dysregulated humoral immunity and autoimmune responses in severe coronavirus disease 2019 (COVID-19) remain incompletely understood. Growing evidence suggests autoantibody (AAb) production upon infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).[ 1 ] However, the full range of AAb in COVID-19 and their distinct pathophysiological role remain unclear. Recently, increased levels of protease-activated receptor-1 (PAR-1) AAbs were linked to severe COVID-19.[ 2 ] Here, we investigated the plasma levels of PAR-1 AAb using solid-phase sandwich ELISA Kits detecting only AAbs of the immunoglobulin G (IgG) isotype (CellTrend GmbH, Luckenwalde, Germany)[ 3 ] in healthy control subjects ( n = 10), hospitalized COVID-19 patients with mild-to-moderate symptoms ( n = 35),[ 4 ] and COVID-19 patients with a severe course who developed clinical deterioration with respiratory failure and acute respiratory distress syndrome requiring mechanical ventilation ( n = 47) ([ Fig. 1A, B ]) (local ethics committee approval identifier EA2/066/20, EA4/147/15). Additionally, PAR-1 AAbs were measured in patients with non-COVID-19 pneumonia with mild symptoms ( n = 9) or with severe disease course ( n = 13) due to bacterial infections ([ Fig. 1B ]). Fig. 1 Increased PAR-1 autoantibodies (AAb) deregulate thromboinflammatory response in severe COVID-19 patients. (A) Overview of the number of plasma samples from healthy donors and COVID-19 patients according to the WHO clinical progression scale. (B) Plasma level of PAR-1 AAb in healthy control subjects ( n = 10), hospitalized mild-to-moderate COVID-19 patients ( n = 35), severe COVID-19 patients ( n = 47), and in patients with mild ( n = 9) or severe ( n = 13) non-COVID-19 pneumonia. Data were analyzed with one-way ANOVA followed by the Dunn post-hoc test for multiple comparisons. (C) Effect of IgG from healthy (SARS-CoV-2 negative) donors versus severe COVID-19 patients on PAR-1 GPCR activation by TRAP6 stimulation as assessed by PathHunter β-Arrestin eXpress GPCR Assay. Results are shown as the percentage of PAR-1 activation detected by β-Arrestin recruitment relative to healthy donors (100%). (D) Effect of IgG from healthy (SARS-CoV-2 negative) donors versus severe COVID-19 patients on p38y phosphorylation levels (relative to total p38y expression) and total p38y protein levels (relative to GAPDH expression) in platelets stimulated by 1 µM TRAP6. Representative western blots of phospho-p38y(Thr180/Tyr182), p38y, and GAPDH expression are shown below. Results were analyzed by a two-tailed unpaired t -test. (E) Multiplate (Roche) platelet impedance aggregometry analysis in whole blood of control subjects pretreated with IgG from healthy donors versus severe COVID-19 patients shows platelet aggregation in response to TRAP6 as the area under the curve over time (AU*min). Data in (C) and (E) were analyzed by two-way ANOVA followed by Bonferroni post-hoc test for multiple comparisons. (F) Comparison of PAR-1 AAb levels between patients who experienced thrombotic events and patients without thrombotic events. Results were analyzed by a two-tailed unpaired t -test. ANOVA, analysis of variance; GPCR, G protein-coupled receptor; IgG, immunoglobulin G. The patients were predominantly recruited during the spread of the α variant and were unvaccinated at the time of blood sampling. The mean age in the mild-to-moderate COVID-19 group was 69 years, with 66% male patients. In the severe COVID-19 group, the mean age was 66 years, with 80% male patients. In the mild non-COVID-19 group, the mean age was 76 years, with 67% male patients, and in the severe non-COVID-19 group, the mean age was 77 years, with 54% male patients. Our findings confirmed significantly higher levels of PAR-1 AAb in patients with severe COVID-19 as compared with healthy controls (mean level [U*mL −1 ]: 2.71 vs. 17.70, p = 0.015) ([ Fig. 1B ]). Increased PAR-1 AAb levels appear to be specific for COVID-19, as patients with non-COVID-19 pneumonia did not show elevated PAR-1 AAb levels (mild non-COVID-19: 3.478 U*mL −1 , p = 0.999, severe non-COVID-19: 3.185 U*mL −1 , p = 0.999). PAR-1 is a G protein-coupled receptor (GPCR) activated by distinct plasma proteases, such as thrombin, thereby promoting platelet activation.[ 5 ] Importantly, PAR-1 mediates the interplay between coagulation and immune responses, e.g., in viral infections,[ 6 ] and thus, is considered to play a crucial role in associated pathobiological processes, particularly in thrombotic complications of COVID-19.[ 7 ] To assess the functional properties of PAR-1 AAb, we tested their potential effects on PAR-1 activity in vitro using a cell-based reporter assay (Eurofins DiscoverX, France), which detects intracellular β-Arrestin recruitment in response to GPCR activation.[ 8 ] Surprisingly, pretreatment of platelets from healthy donors with IgG from patients with severe COVID-19 who had the highest levels of anti-PAR1 AAb attenuated the GPCR signaling response to TRAP6 (thrombin receptor activator peptide 6) stimulation as compared with IgG pretreatment from healthy controls, pointing toward an inhibitory effect of these AAbs ([ Fig. 1C ]). Unlike TRAP6, the inhibitory effects of IgG treatment from patients with high PAR-1 AAb were absent upon stimulation with collagen, supporting a PAR-1-specific effect (data not shown). Analogously, TRAP6-induced activation of PAR-1 downstream signaling pathways was decreased, as indicated by reduced phosphorylation of p38y(Thr180/Tyr182) in platelets of healthy donors upon IgG treatment from severe COVID-19 ([ Fig. 1D ]). Finally, treatment of control subjects' platelets with IgG from severe COVID-19 patients attenuated platelet aggregation in response to TRAP6 in vitro compared with IgG from healthy donors ([ Fig. 1E ]). Notably, higher PAR-1 AAb levels were detected in patients who experienced thrombotic events than those without ([ Fig. 1F ]). Cumulatively, our data support previous findings of increased levels of PAR-1 AAb in patients with severe COVID-19 and provide evidence of the potential inhibitory effects of these AAbs on PAR-1 signaling and platelet aggregation. This may reflect a compensatory circuit where humoral immune processes counteract deregulated thrombocyte activation in COVID-19 with an antibody-mediated response targeting PAR-1 signaling. * These authors contributed equally as first authors. ** These authors contributed equally as senior authors. Publication History Received: 17 October 2023 Accepted: 05 November 2023 Accepted Manuscript online: 06 November 2023 Article published online: 29 December 2023 © 2023. Thieme. All rights reserved. Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, Germany

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,015

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,007
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0020,001
Science ouverte0,0010,000
Intégrité de la recherche0,0080,004
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,091
Tête enseignante GPT0,331
Écart entre enseignants0,241 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2023
Routes d'admission1
Résumé présentoui

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