Journal article icon

Journal article

Humanoid robotic loading enhances mechanotransduction in tendon tissue engineering

Abstract:

Mechanical stimulation is essential in tissue engineering and regenerative medicine for proper tissue maturation. However, conventional uniaxial platforms fail to reproduce the multiaxial loading experienced in vivo. In this study, we present a humanoid robotic bioreactor capable of delivering human-like shoulder motions to engineered tendon constructs, enabling controlled multiaxial stimulation with real-time strain monitoring. Human mesenchymal stem cells were cultured on decellularised tendon scaffolds and subjected to adduction–abduction loading at peak strains of approximately 3.5% and 9.5% under external forces of 25 N and 50 N, respectively. Strain levels were directly quantified in situ using a flexible sensor integrated within the bioreactor. The transparent bioreactor membrane allowed non-invasive while simultaneously applying mechanical stimulation over 14 days, with continuous assessment of cellular morphology without fixation. Compared with static and traditional uniaxial controls, the robot motions significantly enhance cell alignment and activation of mechanotransduction pathways, while inducing notable gene and protein expression changes, particularly within the PI3K-Akt signalling pathway. Although dynamic loading resulted in a moderate reduction in cell viability, the transcriptional profile was consistent with mechanically driven phenotypic adaptation toward tenogenic-related programmes rather than dominant signatures of acute cytotoxic damage. These findings demonstrate that replicating human-like multiaxial mechanics in vitro fundamentally alters cellular mechanosensing and may provide a mechanobiological foundation for the future development of more physiologically relevant tendon grafts.

Publication status:
Published
Peer review status:
Peer reviewed

Actions

Access Document

Files:
Publisher copy:
10.34133/cbsystems.0542

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-8482-7456
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


Publisher:
American Association for the Advancement of Science
Journal:
Cyborg and Bionic Systems More from this journal
Volume:
7
Article number:
0542
Publication date:
2026-03-24
Acceptance date:
2026-02-09
DOI:
EISSN:
2692-7632
ISSN:
2097-1087


Language:
English
Keywords:
Pubs id:
2370642
Local pid:
pubs:2370642
Source identifiers:
W7128447206
Deposit date:
2026-02-12
ARK identifier:

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP