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Translation strategy for the qualification of drug-induced vascular injury biomarkers. | LitMetric

Translation strategy for the qualification of drug-induced vascular injury biomarkers.

Toxicol Pathol

Assistance Publique-Hôpitaux de Paris (AP-HP), Groupe Hospitalier Pitié-Salpêtrière, Department of Internal Medicine and Clinical Immunology, F-75013, Paris, France; Département Hospitalo-Universitaire I2B, UPMC Univ Paris 06, F-75005, Paris, France; INSERM UMR 7211, F-75005, Paris, France; INSERM, UMR_S 959, F-75013, Paris, France; CNRS, UMR 7211, F-75005, Paris, France

Published: June 2014

AI Article Synopsis

Article Abstract

Drug-induced vascular injury (DIVI) is a common preclinical toxicity usually characterized by hemorrhage, vascular endothelial and smooth muscle damage, and inflammation. DIVI findings can cause delays or termination of drug candidates due to low safety margins. The situation is complicated by the absence of sensitive, noninvasive biomarkers for monitoring vascular injury and the uncertain relevance to humans. The Safer And Faster Evidence-based Translation (SAFE-T) consortium is a public-private partnership funded within the European Commission's Innovative Medicines Initiative (IMI) aiming to accelerate drug development by qualifying biomarkers for drug-induced organ injuries, including DIVI. The group is using patients with vascular diseases that have key histomorphologic features (endothelial damage, smooth muscle damage, and inflammation) in common with those observed in DIVI, and has selected candidate biomarkers associated with these features. Studied populations include healthy volunteers, patients with spontaneous vasculitides and other vascular disorders. Initial results from studies with healthy volunteers and patients with vasculitides show that a panel of biomarkers can successfully discriminate the population groups. The SAFE-T group plans to seek endorsement from health authorities (European Medicines Agency and Food and Drug Administration) to qualify the biomarkers for use in regulatory decision-making processes.

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Source
http://dx.doi.org/10.1177/0192623314527644DOI Listing

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