Back

Distinct matrix viscoelasticity in bone fracture hematoma steers macrophage polarization

Knecht, R. S.; Morgan, D. M.; Kollert, M. R.; Noom, A.; Bucher, C. H.; Mooney, D. J.; Schmidt-Bleek, K.; Duda, G. N.

2025-11-17 bioengineering
10.1101/2025.11.14.688455 bioRxiv
Show abstract

Physical properties of the extracellular matrix (ECM) are key regulators of cellular behavior. Following injury, the formation of a hematoma establishes a provisional niche that initiates and regulates healing responses. However, the influence of hematoma viscoelastic properties on immune cell behavior remains poorly understood. Here, we show that distinct ECM viscoelastic properties of the maturing fracture hematoma steer macrophage polarization from pro-inflammatory to pro-regenerative characteristics. Tissue analyses of ex vivo human samples revealed that hematoma viscoelastic properties change with ECM remodeling during healing progression, with the late-phase stress relaxation time constant, {tau}2, increasing significantly with days post-injury. Using alginate hydrogels in 3D culture, we engineered extracellular microenvironments with tunable {tau}2 but constant stiffness to study their role in macrophage polarization. Our data demonstrate that ECM {tau}2 properties guide macrophage phenotype, characterized by high {tau}2 promoting pro-inflammatory activation, while low {tau}2 supported anti-inflammatory phenotypes. This regulation of macrophage polarization by ECM stress relaxation properties persists even under toll-like receptor-coactivation. Single-cell RNA sequencing revealed distinct transcriptional programs associated with different ECM {tau}2 values, with many of the differentially expressed genes related to metabolic processes. The transcriptomic profiles of macrophages primed by different ECM {tau}2 aligned with in vivo healing trajectories, with the gene signature score of the low ECM {tau}2 decreasing over time. Our findings uncover the immune-regulatory function of specific hematoma stress relaxation properties associated with healing progress after injury, and suggest {tau}2 as potential mechanobiological target to be leveraged in novel biomaterials-based regenerative therapies.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.