Prediction of inclisiran efficacy in patients with established atherosclerotic cardiovascular disease: the SIRIUS <i>in-silico</i> modelling of cardiovascular outcomes
SIRIUS is the first in-silico simulation using a knowledge-based mechanistic model to predict the efficacy of LLT on cardiovascular outcomes in ASCVD. These findings offer early model-based prediction of inclisiran's potential cardiovascular benefit ahead of phase 3 outcome trials.
Authors
- Riad Kahoul (ORCID: https://orcid.org/0000-0002-6181-7466)
- Emmanuel Peyronnet
- Alexandre Bastien
- Emmanuelle Bechet
- P S Steg
- Solène Granjeon-Noriot
- L. Fernández Portal (ORCID: https://orcid.org/0000-0002-5103-5532)
- Anne Filipovics
- Bertrand CARIOU
- Alizée Diatchenko
- Yishu Wang (ORCID: https://orcid.org/0009-0009-8038-7287)
- Franck Boccara
- Eulalie Courcelles
- Jean-Pierre Boissel
- Denis Angoulvant
- Guillaume Mahé
- Solène Porte
- Pierre Amarenco
Institutions
- Université de Tours (FR)
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Délégation Paris 7 (FR)
- Institut Universitaire de France (FR)
- Université Paris Cité (FR)
- Population Health Research Institute (CA)
- Université Rennes 2 (FR)
- Sorbonne Université (FR)
- Novartis (France) (FR)
- Centre Hospitalier Universitaire de Tours (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- CIC Rennes (FR)
- In Silico Biosciences (United States) (US)
- Centre de Recherche Saint-Antoine (FR)
- Institut du Thorax (FR)
- Hôpital Bichat-Claude-Bernard (FR)
- Complications Cardiovasculaires et Métaboliques chez les patients vivant avec le VIH
- Université de Rennes (FR)
Publication Details
- Journal
- European Journal of Preventive Cardiology
- Published
- 2025-12-24
- DOI
- https://doi.org/10.1093/eurjpc/zwaf783
- Citations
- 1
- Primary Topic
- Lipoproteins and Cardiovascular Health
- Type
- article
- Field-Weighted Citation Impact
- 2.01