Artificial biomarker-based feedback-regulated personalized and precise thrombolysis with lower hemorrhagic risk.

Abstract

The body weight-based thrombolytic medication strategy in clinical trials shows critical defects in recanalization rate and post-thrombolysis hemorrhage. Methods for perceiving thrombi heterogeneity of thrombolysis resistance is urgently needed for precise thrombolysis. Here, we revealed the relationship between the thrombin heterogeneity and the thrombolysis resistance in thrombi and created an artificial biomarker-based nano-patrol system with robotic functional logic to perceive and report the thrombolysis resistance of thrombi. The nano-patrols are contrallable and are able to accomplish thrombolysis resistance-matched personalized and precise therapy according to the feedback signal from artificial biomarkers. This nano-patrol system depicted more enhanced thrombolytic efficiency (elevated by 25%) than alteplase for mini pig model and clinical thrombi and achieved recanalization in thrombotic model where alteplase encountered failure. Moreover, the nano-patrol remarkably reduced the infarct volume and the hemorrhagic transformation risk (0.12-fold of alteplase) of cerebral thrombosis. Therefore, we developed a unique tool for diagnosing thrombolysis resistance and achieving personalized and precise thrombolysis.