Rethinking animal models of sepsis – working towards improved clinical translation whilst integrating the 3Rs

Author:

Nandi Manasi1ORCID,Jackson Simon K.2,Macrae Duncan3,Shankar-Hari Manu4,Tremoleda Jordi L.5,Lilley Elliot6

Affiliation:

1. School of Cancer and Pharmaceutical Science, Faculty of Life Sciences and Medicine, King’s College London, London, U.K.

2. Faculty of Medicine and Dentistry, Institute of Translational and Stratified Medicine, School of Biomedical Sciences, University of Plymouth, Plymouth, U.K.

3. National Heart and Lung Institute, Imperial College London and Royal Brompton and Harefield NHS Foundation Trust, London, U.K.

4. School of Immunology and Microbial Sciences, King's College London and Guy’s and St Thomas’ NHS Foundation Trust, London, U.K.

5. Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, U.K.

6. Research Animals Department, RSPCA, Southwater, U.K.

Abstract

Abstract Sepsis is a major worldwide healthcare issue with unmet clinical need. Despite extensive animal research in this area, successful clinical translation has been largely unsuccessful. We propose one reason for this is that, sometimes, the experimental question is misdirected or unrealistic expectations are being made of the animal model. As sepsis models can lead to a rapid and substantial suffering – it is essential that we continually review experimental approaches and undertake a full harm:benefit impact assessment for each study. In some instances, this may require refinement of existing sepsis models. In other cases, it may be replacement to a different experimental system altogether, answering a mechanistic question whilst aligning with the principles of reduction, refinement and replacement (3Rs). We discuss making better use of patient data to identify potentially useful therapeutic targets which can subsequently be validated in preclinical systems. This may be achieved through greater use of construct validity models, from which mechanistic conclusions are drawn. We argue that such models could provide equally useful scientific data as face validity models, but with an improved 3Rs impact. Indeed, construct validity models may not require sepsis to be modelled, per se. We propose that approaches that could support and refine clinical translation of research findings, whilst reducing the overall welfare burden on research animals.

Publisher

Portland Press Ltd.

Subject

General Medicine

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