Preclinical imaging methods for assessing the safety and efficacy of regenerative medicine therapies

Lauren Scarfe, Nathalie Brillant, J. Dinesh Kumar, Noura Ali, Ahmed Alrumayh, Mohammed Amali, Stephane Barbellion, Vendula Jones, Marije Niemeijer, Sophie Potdevin, Gautier Roussignol, Anatoly Vaganov, Ivana Barbaric, Michael Barrow, Neal C. Burton, John Connell, Francesco Dazzi, Josefina Edsbagge, Neil S. French, Julie HolderClaire Hutchinson, David R. Jones, Tammy Kalber, Cerys Lovatt, Mark F. Lythgoe, Sara Patel, P. Stephen Patrick, Jacqueline Piner, Jens Reinhardt, Emanuelle Ricci, James Sidaway, Glyn N. Stacey, Philip J. Starkey Lewis, Gareth Sullivan, Arthur Taylor, Bettina Wilm, Harish Poptani, Patricia Murray, Chris E.P. Goldring*, B. Kevin Park

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

41 Citations (Scopus)

Abstract

Regenerative medicine therapies hold enormous potential for a variety of currently incurable conditions with high unmet clinical need. Most progress in this field to date has been achieved with cell-based regenerative medicine therapies, with over a thousand clinical trials performed up to 2015. However, lack of adequate safety and efficacy data is currently limiting wider uptake of these therapies. To facilitate clinical translation, non-invasive in vivo imaging technologies that enable careful evaluation and characterisation of the administered cells and their effects on host tissues are critically required to evaluate their safety and efficacy in relevant preclinical models. This article reviews the most common imaging technologies available and how they can be applied to regenerative medicine research. We cover details of how each technology works, which cell labels are most appropriate for different applications, and the value of multi-modal imaging approaches to gain a comprehensive understanding of the responses to cell therapy in vivo.

Original languageEnglish
Article number28
Journalnpj Regenerative Medicine
Volume2
Issue number1
DOIs
Publication statusPublished - 1 Dec 2017

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