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Spatial transcriptomic validation of a biomimetic model of fibrosis enables re-evaluation of a therapeutic antibody targeting LOXL2

Authors :
Joseph A. Bell
Elizabeth R. Davies
Christopher J. Brereton
Milica Vukmirovic
James J.W. Roberts
Kerry Lunn
Leanne Wickens
Franco Conforti
Robert A. Ridley
Jessica Ceccato
Lucy N. Sayer
David A. Johnston
Andres F. Vallejo
Aiman Alzetani
Sanjay Jogai
Ben G. Marshall
Aurelie Fabre
Luca Richeldi
Phillip D. Monk
Paul Skipp
Naftali Kaminski
Emily Offer
Yihua Wang
Donna E. Davies
Mark G. Jones
Source :
Cell Reports Medicine, Vol 5, Iss 9, Pp 101695- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Summary: Matrix stiffening by lysyl oxidase-like 2 (LOXL2)-mediated collagen cross-linking is proposed as a core feedforward mechanism that promotes fibrogenesis. Failure in clinical trials of simtuzumab (the humanized version of AB0023, a monoclonal antibody against human LOXL2) suggested that targeting LOXL2 may not have disease relevance; however, target engagement was not directly evaluated. We compare the spatial transcriptome of active human lung fibrogenesis sites with different human cell culture models to identify a disease-relevant model. Within the selected model, we then evaluate AB0023, identifying that it does not inhibit collagen cross-linking or reduce tissue stiffness, nor does it inhibit LOXL2 catalytic activity. In contrast, it does potently inhibit angiogenesis consistent with an alternative, non-enzymatic mechanism of action. Thus, AB0023 is anti-angiogenic but does not inhibit LOXL2 catalytic activity, collagen cross-linking, or tissue stiffening. These findings have implications for the interpretation of the lack of efficacy of simtuzumab in clinical trials of fibrotic diseases.

Details

Language :
English
ISSN :
26663791
Volume :
5
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Cell Reports Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.28bf070de21f4af1b6319da757012509
Document Type :
article
Full Text :
https://doi.org/10.1016/j.xcrm.2024.101695