A computational model reveals an early transient decrease in fiber cross-linking that unlocks adult regeneration.

Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.

• Level A · Stronger Clinical Evidence
• Level B · Emerging clinical evidence with positive signals
• Level C · Early human research exploring benefits
• Level D · Scientific groundwork from lab and animal studies
• Emerging · Emerging topic under active research

Abstract (original English)

The decline in regeneration efficiency after birth in mammals is a significant roadblock for regenerative medicine in tissue repair. We previously developed a computational agent based-model (ABM) that recapitulates mechanical interactions between cells and the extracellular-matrix (ECM), to investigate key drivers of tissue repair in adults. Time calibration alongside a parameter sensitivity analysis of the model suggested that an early and transient decrease in ECM cross-linking guides tissue repair toward regeneration. Consistent with the computational model, transient inhibition or stimulation of fiber cross-linking for the first six days after subcutaneous adipose tissue (AT) resection in adult mice led to regenerative or scar healing, respectively. Therefore, this work positions the computational model as a predictive tool for tissue regeneration that with further development will behave as a digital twin of our in vivo model. In addition, it opens new therapeutic approaches targeting ECM cross-linking to induce tissue regeneration in adult mammals.

Evidence level

Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.

Browse all related research

Filter the research library by this study's title keywords, author, or publication year.