Key result
Integrating poro-viscoelastic markers with tissue stiffness improved acute myocardial infarction classification (AUC 0.90 vs 0.69), capturing a 6.4-fold rise in week-1 median hydraulic permeability.
Why the study?
Myocardial infarction triggers multiscale remodeling of the heart, but conventional stiffness measurements fail to capture the dynamic behavior of fluid-saturated tissue.
Does a multiscale poro-viscoelastic mechanical framework improve the characterization and staging of post-myocardial infarction tissue remodeling compared to static stiffness measurements alone in murine myocardium?
Does a multiscale poro-viscoelastic mechanical framework improve the characterization and staging of post-myocardial infarction tissue remodeling compared to static stiffness measurements alone in murine myocardium?
Answers are grounded in this paper and cite their sources.
Combining poroelasticity and power-law viscoelasticity via AFM microrheology reveals dynamic fluid-solid mechanical alterations during post-MI remodeling that substantially improve staging accuracy over tissue stiffness alone and provide mechanical benchmarks for cardiac biomaterials.
Myocardial infarction (MI) triggers multiscale remodeling that changes the mechanical environment of the heart, but conventional stiffness measurements fail to capture the dynamic behavior of fluid-saturated tissue. Here, we developed a multiscale poro-viscoelastic framework to characterize MI-associated mechanical remodeling in murine myocardium. By combining power-law rheology with poro-elasticity theory, we resolved AFM creep responses into complementary markers of tissue state: the short-time power-law exponent ( α short ), the long-time power-law exponent ( α long ), the hydraulic permeability ( D ), the fluid–solid transition time ( τ ) and the elastic modulus ( E ). These mechanical signatures capture the delicate poro-viscoelastic alterations during MI: week-1 infarcts softened while the median D increased more than six-fold, consistent with edema and necrotic pore expansion. At week2, D fell below the control value and spatial heterogeneity was maximal, whereas week-4 scars were stiff, consolidated and characterized by persistently low D , a shortened fluid-like creep regime and a reduced long-time exponent. Integrating the poro-viscoelastic parameters improved cross-validated separation of early and chronic remodeling relative to stiffness alone, including an increase in AUC from 0.69 to 0.90 for control vs. week 1. These findings support dynamic fluid–solid mechanics as a quantitative framework for characterizing post-infarction remodeling and for defining mechanical benchmarks for cardiac regenerative biomaterials.
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Peng et al. (2026) studied Myocardial infarction (murine model) (n=12). Multiscale poro-viscoelastic AFM characterization and machine learning framework vs. Sham-operated control mice and conventional tissue stiffness (elastic modulus E) alone was evaluated on Median hydraulic permeability (D, in 10^-15 m^4 N^-1 s^-1) at week 1 post-MI vs sham control (Fold change of means 2.7 (6.4-fold increase in median), 95% CI 1.4-5.3, p=≤0.02). Integrating poro-viscoelastic markers with tissue stiffness improved acute myocardial infarction classification (AUC 0.90 vs 0.69), capturing a 6.4-fold rise in week-1 median hydraulic permeability.
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