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Pottecher J, Raffi F, Jandrot-Perrus M, Binay S, Comenducci A, Desort-Henin V, François D, Gharakhanian S, Labart M, Meilhoc A, Toledano E, Pletan Y, Avenard G, Sato VH. Targeting GPVI with glenzocimab in COVID-19 patients: Results from a randomized clinical trial. PLoS One 2024; 19:e0302897. [PMID: 38885234 PMCID: PMC11182546 DOI: 10.1371/journal.pone.0302897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 04/11/2024] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND Glenzocimab is a novel antithrombotic agent which targets platelet glycoprotein VI (GPVI) and does not induce haemorrhage. SARS-CoV-2 triggers a prothrombotic state and lung injury whose mechanisms include coagulopathy, endothelial dysfunction, and inflammation with dysregulated platelets. METHODS AND PATIENTS GARDEN was a randomised double-blind, exploratory phase II study of glenzocimab in SARS-CoV-2 respiratory failure (NCT04659109). PCR+ adults in Brazil and France (7 centres) were randomized to standard-of-care (SOC) plus glenzocimab (1000 mg/dayx3 days) or placebo, followed for 40 days. Primary efficacy endpoint was clinical progression at Day 4. All analyses concerned the intention-to-treat population. RESULTS Between December 2020 and August 2021, 61 patients received at least one dose (30 glenzocimab vs 32 placebo) and 58 completed the study (29 vs 29). Clinical progression of COVID-19 ARDS was not statistically different between glenzocimab and placebo arms (43.3% and 29.0%, respectively; p = 0.245). Decrease in the NEWS-2 category at D4 was statistically significant (p = 0.0290) in the glenzocimab arm vs placebo. No Serious Adverse Event (SAE) was deemed related to study drug; bleeding related events were reported in 6 patients (7 events) and 4 patients (4 events) in glenzocimab and placebo arms, respectively. CONCLUSIONS Therapeutic GPVI inhibition assessment during COVID-19 was conducted in response to a Public Health emergency. Glenzocimab in coagulopathic patients under therapeutic heparin was neither associated with increased bleeding, nor SAE. Clinical impact of glenzocimab on COVID-19 ARDS was not demonstrated. A potential role for GPVI inhibition in other types of ARDS deserves further experimentation. Glenzocimab is currently studied in stroke (ACTISAVE: NCT05070260) and cardiovascular indications.
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Affiliation(s)
- Julien Pottecher
- Strasbourg University Hospital, UR3072, FHU OMICARE, FMTS, Strasbourg, France
| | - Francois Raffi
- Nantes Université, CHU Nantes, INSERM, Department of Infectious Diseases, CIC 1413, Nantes, France
| | | | | | | | | | | | - Shahin Gharakhanian
- Acticor-Biotech, Paris, France
- Shahin Gharakhanian MD Consulting LLC, Cambridge Innovation Center, Cambridge, MA, United States of America
| | | | | | | | | | | | - Victor H. Sato
- International Research Center, Hospital Alemão Oswaldo Cruz, Sao Paulo, Brazil
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Klenk C, Erber J, Fresacher D, Röhrl S, Lengl M, Heim D, Irl H, Schlegel M, Haller B, Lahmer T, Diepold K, Rasch S, Hayden O. Platelet aggregates detected using quantitative phase imaging associate with COVID-19 severity. COMMUNICATIONS MEDICINE 2023; 3:161. [PMID: 37935793 PMCID: PMC10630365 DOI: 10.1038/s43856-023-00395-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 10/25/2023] [Indexed: 11/09/2023] Open
Abstract
BACKGROUND The clinical spectrum of acute SARS-CoV-2 infection ranges from an asymptomatic to life-threatening disease. Considering the broad spectrum of severity, reliable biomarkers are required for early risk stratification and prediction of clinical outcomes. Despite numerous efforts, no COVID-19-specific biomarker has been established to guide further diagnostic or even therapeutic approaches, most likely due to insufficient validation, methodical complexity, or economic factors. COVID-19-associated coagulopathy is a hallmark of the disease and is mainly attributed to dysregulated immunothrombosis. This process describes an intricate interplay of platelets, innate immune cells, the coagulation cascade, and the vascular endothelium leading to both micro- and macrothrombotic complications. In this context, increased levels of immunothrombotic components, including platelet and platelet-leukocyte aggregates, have been described and linked to COVID-19 severity. METHODS Here, we describe a label-free quantitative phase imaging approach, allowing the identification of cell-aggregates and their components at single-cell resolution within 30 min, which prospectively qualifies the method as point-of-care (POC) testing. RESULTS We find a significant association between the severity of COVID-19 and the amount of platelet and platelet-leukocyte aggregates. Additionally, we observe a linkage between severity, aggregate composition, and size distribution of platelets in aggregates. CONCLUSIONS This study presents a POC-compatible method for rapid quantitative analysis of blood cell aggregates in patients with COVID-19.
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Affiliation(s)
- Christian Klenk
- Heinz-Nixdorf-Chair of Biomedical Electronics, School of Computation, Information and Technology, Technical University of Munich, TranslaTUM, 81675, Munich, Germany
| | - Johanna Erber
- TUM School of Medicine and Health, Department of Clinical Medicine - Clinical Department for Internal Medicine II, University Medical Centre, Technical University of Munich, 81675, Munich, Germany
| | - David Fresacher
- Heinz-Nixdorf-Chair of Biomedical Electronics, School of Computation, Information and Technology, Technical University of Munich, TranslaTUM, 81675, Munich, Germany
- Chair for Data Processing, School of Computation, Information and Technology, Technical University of Munich, 80333, Munich, Germany
| | - Stefan Röhrl
- Chair for Data Processing, School of Computation, Information and Technology, Technical University of Munich, 80333, Munich, Germany
| | - Manuel Lengl
- Chair for Data Processing, School of Computation, Information and Technology, Technical University of Munich, 80333, Munich, Germany
| | - Dominik Heim
- Heinz-Nixdorf-Chair of Biomedical Electronics, School of Computation, Information and Technology, Technical University of Munich, TranslaTUM, 81675, Munich, Germany
| | - Hedwig Irl
- TUM School of Medicine and Health, Department of Clinical Medicine - Clinical Department of Anaesthesiology and Intensive Care Medicine, University Medical Centre, Technical University of Munich, 81675, Munich, Germany
| | - Martin Schlegel
- TUM School of Medicine and Health, Department of Clinical Medicine - Clinical Department of Anaesthesiology and Intensive Care Medicine, University Medical Centre, Technical University of Munich, 81675, Munich, Germany
| | - Bernhard Haller
- TUM School of Medicine and Health, Department of Clinical Medicine - Institute of AI and Informatics in Medicine, University Medical Centre, Technical University of Munich, 81675, Munich, Germany
| | - Tobias Lahmer
- TUM School of Medicine and Health, Department of Clinical Medicine - Clinical Department for Internal Medicine II, University Medical Centre, Technical University of Munich, 81675, Munich, Germany
| | - Klaus Diepold
- Chair for Data Processing, School of Computation, Information and Technology, Technical University of Munich, 80333, Munich, Germany
| | - Sebastian Rasch
- TUM School of Medicine and Health, Department of Clinical Medicine - Clinical Department for Internal Medicine II, University Medical Centre, Technical University of Munich, 81675, Munich, Germany
| | - Oliver Hayden
- Heinz-Nixdorf-Chair of Biomedical Electronics, School of Computation, Information and Technology, Technical University of Munich, TranslaTUM, 81675, Munich, Germany.
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Zong X, Wang X, Liu Y, Li Z, Wang W, Wei D, Chen Z. Antiplatelet therapy for patients with COVID-19: Systematic review and meta-analysis of observational studies and randomized controlled trials. Front Med (Lausanne) 2022; 9:965790. [PMID: 36160149 PMCID: PMC9490267 DOI: 10.3389/fmed.2022.965790] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 08/19/2022] [Indexed: 11/13/2022] Open
Abstract
Background Hyperinflammation and coagulopathy are hallmarks of COVID-19 and synergistically contribute to illness progression. Antiplatelet agents have been proposed as candidate drugs for COVID-19 treatment on the basis of their antithrombotic and anti-inflammatory properties. A systematic review and meta-analysis that included early observational studies and recent randomized controlled trials (RCTs) was performed to summarize and compare evidence on this issue. Methods PubMed, Embase, and the Cochrane Central Register of Controlled Trials (CENTRAL) were searched to identify studies published up to Nov 7, 2021, and the results of registered clinical trials were followed up to Mar 30, 2022. We included RCTs and observational studies assessing the effect of antiplatelet therapy in adult patients with COVID-19. Data on baseline patient characteristics, interventions, controls, and outcomes were extracted by two independent reviewers. The primary outcome was mortality. Data were pooled using a random-effects model. Results Twenty-seven studies were included, of which 23 observational studies were pooled in a meta-analysis, and the remaining four RCTs (ACTIV-4B, RECOVERY, ACTIV-4a, and REMAP-CAP) were narratively synthesized. Based on 23 observational studies of 87,824 COVID-19 patients, antiplatelet treatment favors a lower risk of mortality [odds ratio (OR) 0.72, 95% confidence interval (CI) 0.61–0.85; I2 = 87.0%, P < 0.01]. The narrative synthesis of RCTs showed conflicting evidence, which did not support adding antiplatelet therapy to the standard care, regardless of the baseline illness severity and concomitant anticoagulation intensity. Conclusion While the rationale for using antiplatelet treatment in COVID-19 patients is compelling and was supported by the combined result of early observational studies, evidence from RCTs did not confirm this approach. Several factors that could explain this inconsistency were highlighted alongside perspectives on future research directions.
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Affiliation(s)
- Xiaolong Zong
- Department of Clinical Laboratory, The Second Hospital of Tianjin Medical University, Tianjin, China
- Institute of Infectious Diseases, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Xiao Wang
- Department of Emergency Medicine, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Yaru Liu
- Department of Emergency Medicine, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Zhenyu Li
- Institute of Infectious Diseases, The Second Hospital of Tianjin Medical University, Tianjin, China
- Department of Emergency Medicine, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Weiding Wang
- Department of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Dianjun Wei
- Department of Clinical Laboratory, Yanda Hospital, Langfang, China
- *Correspondence: Dianjun Wei
| | - Zhuqing Chen
- Medical Security Center, The No. 983 Hospital of the Joint Service Support Force, Tianjin, China
- Zhuqing Chen
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