D E Zamboulis
Postnatal mechanical loading drives adaptation of tissues primarily through modulation of the non-collagenous matrix
Zamboulis, D E; Thorpe, C T; Ashraf Kharaz, Y; Birch, H L; Screen, H R C; Clegg, P D
Authors
C T Thorpe
Y Ashraf Kharaz
H L Birch
H R C Screen
P D Clegg
Abstract
Mature connective tissues demonstrate highly specialised properties, remarkably adapted to meet their functional requirements. Tissue adaptation to environmental cues can occur throughout life and poor adaptation commonly results in injury. However, the temporal nature and drivers of functional adaptation remain undefined. Here, we explore functional adaptation and specialisation of mechanically loaded tissues using tendon; a simple aligned biological composite, in which the collagen (fascicle) and surrounding predominantly non-collagenous matrix (interfascicular matrix) can be interrogated independently. Using an equine model of late development, we report the first phase-specific analysis of biomechanical, structural and compositional changes seen in functional adaptation, demonstrating adaptation occurs postnatally, following mechanical loading, and is almost exclusively localised to the non-collagenous interfascicular matrix. These novel data redefine adaptation in connective tissue, highlighting the fundamental importance of non-collagenous matrix and suggesting that regenerative medicine strategies should change focus from the fibrous to the non-collagenous matrix of tissue.
Citation
Zamboulis, D. E., Thorpe, C. T., Ashraf Kharaz, Y., Birch, H. L., Screen, H. R. C., & Clegg, P. D. (2020). Postnatal mechanical loading drives adaptation of tissues primarily through modulation of the non-collagenous matrix. eLife, 9,
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 15, 2020 |
Publication Date | Oct 16, 2020 |
Deposit Date | Oct 26, 2020 |
Publicly Available Date | Oct 26, 2020 |
Journal | eLife |
Electronic ISSN | 2050-084X |
Publisher | eLife Sciences Publications |
Peer Reviewed | Peer Reviewed |
Volume | 9 |
Keywords | General Biochemistry, Genetics and Molecular Biology, General Immunology and Microbiology, General Neuroscience, General Medicine |
Public URL | https://rvc-repository.worktribe.com/output/1375182 |
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