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February 21, 2026Biophysical Journal0 citations

BPS2026 – Invited speaker

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GGGuy GeninEEElliot L. Elson

Key Points

  • This study aims to explore the relationship between extracellular matrix stiffness and cell fate, particularly in the context of pulmonary fibrosis.
  • Utilized in vivo and in vitro approaches to investigate the effects of nonlinear mechanical responses of extracellular matrix
  • Implemented computational models to analyze cell-ECM feedback and mechanical crosslinking dynamics
  • Investigated the impact of dynamic stretching on advanced glycation end-product crosslinking in various tissue models.
  • Found that dynamic stretching disrupts fibrogenesis in lung-like scaffolds but not in liver-like matrices
  • Demonstrated the effectiveness of a non-invasive ventilation protocol in reversing pulmonary fibrosis in mice
  • Combined mechanical modulation with pharmacological AGE inhibition enhanced therapeutic efficacy.

Abstract

Extracellular matrix (ECM) stiffness drives cell fate, but tissues are nonlinear and difficult to modify chemically without harming patients. Here, we show that nonlinear mechanical responses of fibrous and porous tissues can be controlled by mechanically modulating crosslinks. Through integrated in vivo, in vitro, and computational approaches, we found that physiological dynamic stretching disrupts pathological advanced glycation end-product (AGE) crosslink-induced fibrogenesis in an architecture-dependent manner. This was effective in lung-like porous scaffolds but not in liver-like fibrous matrices, revealing a critical structure-property relationship. Computational and in vitro models established that this modulates cell-ECM feedback and that controlling mechanical crosslinking modulates key nonlinearity of networked solids. This discovery inspired a non-invasive, “mechanotherapuetic” ventilation protocol, which reversed pulmonary fibrosis in mice by physically disrupting ECM pathological crosslinks. The therapeutic efficacy was further amplified when combined with pharmacological AGE inhibition. These findings establish design principles for dynamically reprogrammable biological materials and mechano-targeted therapies.

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Cite This Study

Genin et al. (2026) studied this question.

synapsesocial.com/papers/69990df65b97ab4c14ac2a6chttps://doi.org/10.1016/j.bpj.2025.11.1501
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