Modulation of Local Overactive Inflammation via Injectable Hydrogel Microspheres.

Although injectable hydrogel microsphere has demonstrated tremendous promise in clinical applications, local overactive inflammation in degenerative diseases could jeopardize biomaterial implantation's therapeutic efficacy. Herein, an injectable "peptide-cell-hydrogel" microsphere was constructed by covalently coupling of APETx2 and further loading of nucleus pulposus cells, which could inhibit local inflammatory cytokine storms to regulate the metabolic balance of ECM in vitro. The covalent coupling of APETx2 preserved the biocompatibility of the microspheres and achieved a controlled release of APETx2 for more than 28 days in an acidic environment. By delivering "peptide-cell-hydrogel" microspheres to a rat degenerative intervertebral disc at 4 weeks, the expression of ASIC-3 and IL-1ß was significantly decreased for 3.53-fold and 7.29-fold, respectively. Also, the content of ECM was significantly recovered at 8 weeks. In summary, the proposed strategy provides an effective approach for tissue regeneration under overactive inflammatory responses.

Towards Accurate, Cost-Effective, Ultra-Low-Power and Non-Invasive Respiration Monitoring: A Reusable Wireless Wearable Sensor for an Off-the-Shelf KN95 Mask.

Respiratory rate is a critical vital sign that indicates health condition, sleep quality, and exercise intensity. This paper presents a non-invasive, ultra-low-power, and cost-effective wireless wearable sensor, which is installed on an off-the-shelf KN95 mask to facilitate respiration monitoring. The sensing principle is based on the periodic airflow temperature variations caused by exhaled hot air and inhaled cool air in respiratory cycles. By measuring the periodic temperature variations at the exhalation valve of mask, the respiratory parameters can be accurately and reliably detected, regardless of body movements and breathing pathways through nose or mouth. Specifically, we propose a voltage divider with controllable resistors and corresponding selection criteria to improve the sensitivity of temperature measurement, a peak detection algorithm with spline interpolation to increase sampling period without reducing the detection accuracy, and effective low-power optimization measures to prolong the battery life. The experimental results have demonstrated the effectiveness of the proposed sensor, showing a small mean absolute error (MAE) of 0.449 bpm and a very low power consumption of 131.4 µW. As a high accuracy, low cost, low power, and reusable miniature wearing device for convenient respiration monitoring in daily life, the proposed sensor holds promise in real-world feasibility.