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Grossini E, Smirne C, Venkatesan S, Tonello S, D'Onghia D, Minisini R, Cantaluppi V, Sainaghi PP, Comi C, Tanzi A, Bussolati B, Pirisi M. Plasma Pattern of Extracellular Vesicles Isolated from Hepatitis C Virus Patients and Their Effects on Human Vascular Endothelial Cells. Int J Mol Sci 2023; 24:10197. [PMID: 37373343 DOI: 10.3390/ijms241210197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 06/08/2023] [Accepted: 06/13/2023] [Indexed: 06/29/2023] Open
Abstract
Hepatitis C virus (HCV) patients are at increased risk of cardiovascular disease (CVD). In this study, we aimed to evaluate the role of extracellular vesicles (EVs) as pathogenic factors for the onset of HCV-related endothelial dysfunction. Sixty-five patients with various stages of HCV-related chronic liver disease were enrolled in this case series. Plasma EVs were characterized and used to stimulate human vascular endothelial cells (HUVEC), which were examined for cell viability, mitochondrial membrane potential, and reactive oxygen species (ROS) release. The results showed that EVs from HCV patients were mainly of endothelial and lymphocyte origin. Moreover, EVs were able to reduce cell viability and mitochondrial membrane potential of HUVEC, while increasing ROS release. Those harmful effects were reduced by the pretreatment of HUVEC with the NLR family pyrin domain containing 3 (NLRP3)/AMP-activated protein kinase and protein kinase B blockers. In conclusion, in HCV patients, we could highlight a circulating pattern of EVs capable of inducing damage to the endothelium. These data represent a novel possible pathogenic mechanism underlying the reported increase of CVD occurrence in HCV infection and could be of clinical relevance also in relation to the widespread use of antiviral drugs.
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Affiliation(s)
- Elena Grossini
- Laboratory of Physiology, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
| | - Carlo Smirne
- Internal Medicine Unit, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
- Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Sakthipriyan Venkatesan
- Laboratory of Physiology, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
| | - Stelvio Tonello
- Internal Medicine Unit, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
- Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Davide D'Onghia
- Internal Medicine Unit, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
- Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Rosalba Minisini
- Internal Medicine Unit, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
- Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Vincenzo Cantaluppi
- Nephrology Unit, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
| | - Pier Paolo Sainaghi
- Internal Medicine Unit, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
- CAAD-Center for Autoimmune and Allergic Diseases, and IRCAD-Interdisciplinary Research Center for Autoimmune Diseases, Università del Piemonte Orientale, 28100 Novara, Italy
| | - Cristoforo Comi
- Neurology Unit, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
- Sant'Andrea Hospital, 13100 Vercelli, Italy
| | - Adele Tanzi
- Molecular Biotechnology Center "Guido Tarone", Department of Molecular Biotechnology and Health Sciences, University of Torino, 10124 Turin, Italy
| | - Benedetta Bussolati
- Molecular Biotechnology Center "Guido Tarone", Department of Molecular Biotechnology and Health Sciences, University of Torino, 10124 Turin, Italy
| | - Mario Pirisi
- Internal Medicine Unit, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
- Maggiore della Carità Hospital, 28100 Novara, Italy
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Rizzi M, D'Onghia D, Tonello S, Minisini R, Colangelo D, Bellan M, Castello LM, Gavelli F, Avanzi GC, Pirisi M, Sainaghi PP. COVID-19 Biomarkers at the Crossroad between Patient Stratification and Targeted Therapy: The Role of Validated and Proposed Parameters. Int J Mol Sci 2023; 24:ijms24087099. [PMID: 37108262 PMCID: PMC10138390 DOI: 10.3390/ijms24087099] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 04/06/2023] [Accepted: 04/10/2023] [Indexed: 04/29/2023] Open
Abstract
Clinical knowledge about SARS-CoV-2 infection mechanisms and COVID-19 pathophysiology have enormously increased during the pandemic. Nevertheless, because of the great heterogeneity of disease manifestations, a precise patient stratification at admission is still difficult, thus rendering a rational allocation of limited medical resources as well as a tailored therapeutic approach challenging. To date, many hematologic biomarkers have been validated to support the early triage of SARS-CoV-2-positive patients and to monitor their disease progression. Among them, some indices have proven to be not only predictive parameters, but also direct or indirect pharmacological targets, thus allowing for a more tailored approach to single-patient symptoms, especially in those with severe progressive disease. While many blood test-derived parameters quickly entered routine clinical practice, other circulating biomarkers have been proposed by several researchers who have investigated their reliability in specific patient cohorts. Despite their usefulness in specific contexts as well as their potential interest as therapeutic targets, such experimental markers have not been implemented in routine clinical practice, mainly due to their higher costs and low availability in general hospital settings. This narrative review will present an overview of the most commonly adopted biomarkers in clinical practice and of the most promising ones emerging from specific population studies. Considering that each of the validated markers reflects a specific aspect of COVID-19 evolution, embedding new highly informative markers into routine clinical testing could help not only in early patient stratification, but also in guiding a timely and tailored method of therapeutic intervention.
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Affiliation(s)
- Manuela Rizzi
- Department of Health Sciences, Università del Piemonte Orientale, 28100 Novara, Italy
| | - Davide D'Onghia
- Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
| | - Stelvio Tonello
- Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
| | - Rosalba Minisini
- Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
| | - Donato Colangelo
- Department of Health Sciences, Università del Piemonte Orientale, 28100 Novara, Italy
| | - Mattia Bellan
- Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
| | - Luigi Mario Castello
- Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
| | - Francesco Gavelli
- Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
| | - Gian Carlo Avanzi
- Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
| | - Mario Pirisi
- Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
| | - Pier Paolo Sainaghi
- Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy
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