上海交通大学医学院

Biodegradable zinc alloys have emerged as promising materials for orthopedics, owing to their favorable mechanical properties and controllable degradation rates. In this study, a series of novel Zn-2Cu-0.8Lix Mg ( x = 0.2, 0.4, and 0.8, in wt.%) alloys was developed to enhance both strength and biocompatibility. The effects of Mg addition on microstructure, mechanical properties, in vitro and in vivo degradation, and biocompatibility were systematically investigated. The microstructure of these as-extruded alloys consists of a matrix of beta-LiZn4 and the second phases of eta-Zn and Mg2 Zn11 . Compared to Zn-2Cu-0.8Li alloy, the addition of Mg improves the mechanical strength of Zn-2Cu-0.8Li- x Mg alloys. Notably, the as-extruded Zn-2Cu-0.8Li-0.4Mg alloy shows a well-balanced combination of mechanical properties, with an ultimate tensile strength of 556.5 f 1.6 MPa and a fracture elongation of 37.1% f 4.3%. Furthermore, the alloy exhibits a favorable degradation rate, with in vitro and in vivo rates of 201 f 6 }m/year and 86 f 6 }m/year, respectively. In vitro cell experiments demonstrated that this alloy extract possesses excellent biocompatibility, and a rat femoral shaft fracture model revealed that it has good bone repair capability. Therefore, these results indicate that Zn-2Cu-0.8Li-0.4Mg alloy is a highly promising candidate material for orthopedic applications. (c) 2026 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.

Background Bone regulates whole-body homeostasis via secretory proteins, and clinical observations have suggested potential links between certain skeletal pathologies and liver abnormalities under specific clinical contexts. Results This study established a postnatal-specific osteocyte knockout mouse model (Dmp1cre DTRfl/fl). Livers were collected for Single-cell RNA sequencing (scRNA-seq), bulk transcriptomic analysis, and metabolomic analysis to reveal the impact of osteocytes ablation on liver metabolism. Multi-omics analysis revealed alterations in lipid metabolism, with upregulation of Cyp4a10 related to oxidative stress and lipid peroxidation, and downregulation of Scd1 involved in fatty acid biosynthesis. scRNA-seq identified changes in gene expression patterns in hepatocytes, endothelial cells, and Kupffer cells, with key transcription factors (Yy1 in hepatocytes and Etv5 in endothelial cells) associated with steatosis. Altered cellular communication networks, particularly the Grn-sort1 and Angptl4-Sdc axes, potentially reshaped liver metabolism and facilitated steatosis in Dmp1cre DTRfl/fl mice. Histological analysis confirmed the development of hepatic steatosis in Dmp1cre DTRfl/fl mice. Conclusions Loss of osteocytes has potential role in liver lipid metabolic disturbances and fat accumulation, mediated through the modulation of lipid and inflammatory gene expression and alterations in intra-cellular communication within the liver. These findings enhance our understanding of how bone disease can initiate systemic metabolic disorders and provide support for the concept of the bone-liver axis.

The management of new medical technologies in hospitals has evolved from admission review to a longitudinal governance workflow covering application, expert evaluation, implementation, follow-up monitoring, completion review, and post-adoption oversight. Although existing digital platforms support rule encoding, node control, and status tracking, they remain limited in cross-system verification, semi-structured document handling, follow-up execution, and proactive risk intervention. Consequently, a persistent last-mile gap remains between anomaly detection and actual workflow closure. This commentary proposes a three-layer framework consisting of a rule center, an intelligent execution layer, and a human review layer, using OpenClaw as an illustrative example based on publicly available technical documentation. The framework is illustrated through a worked application-stage example and a future evaluation plan covering efficiency, quality, risk management, and management experience. The analysis suggests that the value of intelligent agents lies not in replacing existing platforms or human decision-making, but in functioning as an execution and connection layer outside the platform, extending anomaly detection to anomaly verification, classification, follow-up, and feedback. Under conditions of clear task boundaries, controllable permissions, and human review, intelligent agents may provide a potential pathway for improving workflow closure and refined governance in hospital management of new medical technologies.

Accurate sleep apnea subtype classification is important because obstructive, central, and mixed apnea reflect different physiological mechanisms and may require different clinical management. Although EEG captures cortical responses to respiratory disturbances and microarousal, most existing methods treat each 30s epoch as homogeneous, potentially obscuring brief and localized patterns. This study proposes a transient aware framework for single-channel EEG analysis. It combines event-sensitive intra-epoch segmentation, complementary segment encoding, and structured aggregation, enabling the joint preservation of transient heterogeneity and global spectral context. Multiscale spectral divergence and gamma-band burst cues identify intra-epoch boundaries. Hermite decomposition and Fourier sub-band analysis describe the resulting variable-length segments. Distributional, temporal, and diversity-related statistics then produce a fixed-dimensional representation for classification. On the UCDDB dataset, subject-wise five-fold cross-validation yielded a macro-F1 of 0.8546 ± 0.0231 for four-class classification among Normal, OSA, CSA, and MSA, and an F1 of 0.8608 ± 0.0141 for binary Normal-versus-Apnea detection. In subject-disjoint ablation experiments, adding adaptive local modeling to fixed-epoch spectral features increased the F1 by 6.3 and 5.8 percentage points in the four-class and binary tasks, respectively. Experiments on MIT-BIH further supported the applicability of the representation. These results indicate that transient intra-epoch EEG structure provides complementary information for sleep apnea subtype classification.

Retinal vein occlusion (RVO) causes retinal ischemia, macular edema, and vision loss, yet current anti-vascular endothelial growth factor (anti-VEGF) therapies primarily limit vascular leakage and leave ischemia-driven neuroinflammation insufficiently controlled. Here, we reveal a critical role for microglia-associated NLRP3–IL-18 signaling in amplifying inflammation during early RVO. Bulk retinal RNA sequencing showed broad innate immune activation, whereas single-cell transcriptomic profiling and spatial protein analysis identified prominent inflammasome-related changes in retinal microglia. Constitutive global deletion of Nlrp3 or Il18 attenuated microglial activation and preserved retinal structure and electrophysiological function. To translate this mechanistic insight into a targeted anti-inflammatory strategy, we engineered MG1-functionalized, MCC950-loaded nanoliposomes for microglia-targeted NLRP3 inhibition. MG1 functionalization promoted preferential nanoparticle uptake by activated microglia and suppressed NLRP3–IL-18 signaling more effectively than free MCC950 or non-targeted nanoliposomes. In experimental RVO, a single intravitreal dose administered 6 h after induction alleviated retinal inflammation and edema while preserving retinal electrophysiological responses. These findings establish microglia-associated NLRP3–IL-18 signaling as a therapeutic target in early RVO and support MG1-MCC950 nanoliposomes as a bioactive nanotherapeutic platform for RVO.