Cerebral ischemic stroke, neuronal death, and inflammation bring difficulties in neuroprotection and rehabilitation. In this study, we developed and designed the ability of natural lactoferrin-polyethylene glycol-polyphenylalanine-baicalein nanomicelles (LF-PEG-PPhe-Bai) to target and reduce these pathological processes, such as neurological damage and cognitive impairment in the stages of poststroke. Nanomicelles made from biocompatible materials have improved bioavailability and targeted distribution to afflicted brain areas. The results showed that LF-PEG-PPhe-Bai greatly improved the antioxidation, antiapoptosis, and anti-inflammation activity in vitro. Meanwhile, LF-PEG-PPhe-Bai improved the behavioral and cognitive impairment of 2-VO model mice, protected nerve cells in the hippocampus, and reduced inflammation at the brain injury site in vivo. In conclusion, LF-PEG-PPhe-Bai nanomicelles are employed for enhancing neuroprotection and poststroke rehabilitation. The development of this technology might provide a new technique for neural repair after ischemia in the future.
Stroke-induced hemiplegia is a major cause of long-term disability, with recovery relying on repetitive joint training. However, conventional methods often require assistance from professionals or the use of bulky, nonconformal devices, hindering efficient therapy. In this paper, a simple strategy is presented to construct intricate microstructures on individual fibers. By controlling the solvent evaporation behavior during the solution blow spinning process, hierarchically porous iontronic fiber crossbar (HPIFC) pressure sensors are fabricated. These sensors exhibit exceptional sensitivity that exceeds that of most existing capacitive fiber crossbar sensors by more than two orders of magnitude. Leveraging sensor arrays integrated with machine learning algorithms, subtle joint motions are successfully detected as small as 1.27° and achieve accurate recognition of multiple angular degrees-of-freedom (multiple angular DoF) joint movements. On the basis of these findings, a passive rehabilitation training system is developed for hemiplegic patients, as well as an automated system for the quantitative assessment of rehabilitation progress, offering a comprehensive and efficient solution for poststroke recovery.