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Cardiac oxidative stress monitoring enabled by hierarchical mechanical adaptation

Yang, B.; Wang, J.; Wu, D.; Chen, Z.; Du, Y.; Gong, X.; Liu, H.; Xie, Y.; He, X.; Hao, G.; Wang, G.; Zhang, Z.; Xie, K.; Wu, Y.-X.; Cao, C.; Chen, N.; Cai, P.; Xiao, L.; Xie, L.; Zou, H.; Lei, Q.; Zhao, X.; Li, T.; Chao, J.; Jiang, Z.; Hu, B.; Wang, T.; Chen, X.; Wang, L.

2026-04-19 bioengineering
10.64898/2026.04.15.718718 bioRxiv
Show abstract

Soft bioelectronics have advanced cardiac monitoring through electrophysiological tracking, yet this alone cannot resolve the metabolic pathology essential to surgical decision-making. However, real-time molecular sensing on beating hearts remains unresolved due to deformation-induced sensor failure and stress-induced metabolite artifacts. This challenge is exemplified by ischemia-reperfusion injury (IRI), a major cardiac surgery complication characterized by reactive oxidative species (ROS) bursts, where true pathological ROS signals being confounded by mechanotransduction-induced ROS artifacts. Herein, we propose an enzymatic cardiac oxidative stress biosensor (E-cardiac) with hierarchical mechanical adaptation: macro-scale biofluid-mediated contact, micro-scale fiber reorganization, and nano-scale enzymatic confinement within gold nanoarches dissipate interfacial stress. This produces ultrathin ([~]460 nm), soft (0.79 kPa) E-cardiac with robust electrochemical stability (100% strain), low detection limit (380 nM), rapid adhesion (<3 s), stable biosensing on beating heart, as well as minimal invasive deployment capability. Mechanical analysis and cellular studies confirm mitigated stress-induced ROS and absent PIEZO channel activation. Validated across cardiomyocytes, ex vivo tissues, multi-species ischemia models (mouse, rat, rabbit, pig), rat ischemia-reperfusion injury, and Langendorff hearts simulating graded perfusion deficits, E-cardiac quantitatively differentiates IRI severity (sham < ischemia < reperfusion) as well as detecting the "ECG blind window". The E-cardiac platform provides real-time metabolic feedback for surgical guidance during cardiac procedures, enabling timely intervention before irreversible damage.

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