Literature DB >> 24771082

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

Kaïdre Bendjama1, Silvia Guionaud2, Gulfidan Aras1, Nadir Arber3, Lina Badimon4, Uwe Bamberger5, Dorina Bratfalean1, David Brott6, Maayan David3, Lucette Doessegger7, Hüseyin Firat1, Jean-François Gallas8, Jean-Charles Gautier9, Peter Hoffmann10, Sarah Kraus3, Teresa Padro4, David Saadoun11, Piotr Szczesny7, Peter Thomann1, Gemma Vilahur4, Michael Lawton12, Patrice Cacoub13.   

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.
© 2014 by The Author(s).

Entities:  

Keywords:  arteritis; biomarker; inflammation; translation.; vascular injury

Mesh:

Substances:

Year:  2014        PMID: 24771082     DOI: 10.1177/0192623314527644

Source DB:  PubMed          Journal:  Toxicol Pathol        ISSN: 0192-6233            Impact factor:   1.902


  2 in total

1.  Human Vascular Wall Microfluidic Model for Preclinical Evaluation of Drug-Induced Vascular Injury.

Authors:  Erik Ersland; Neven Ebrahim; Olive Mwizerwa; Takahiro Oba; Keisuke Oku; Masafumi Nishino; Daichi Hikimoto; Hayato Miyoshi; Kimihiko Tomotoshi; Omid Rahmanian; Emmanuel Ekwueme; Craig Neville; Cathryn Sundback
Journal:  Tissue Eng Part C Methods       Date:  2022-02       Impact factor: 3.056

2.  Human Vascular Microphysiological System for in vitro Drug Screening.

Authors:  C E Fernandez; R W Yen; S M Perez; H W Bedell; T J Povsic; W M Reichert; G A Truskey
Journal:  Sci Rep       Date:  2016-02-18       Impact factor: 4.379

  2 in total

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