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.

This review delves into brain imaging genomics, an interdisciplinary field merging brain imaging, genomics, and additional biomarkers with clinical data. The primary aim is to uncover new insights into the brain’s phenotypic, genetic, and molecular characteristics. We emphasize recent advances in genome-wide association studies and transcriptome-wide association studies, especially their integration with MRI-derived phenotypes in humans. These studies are crucial for understanding how various factors influence brain structure and function in normal and pathological states. Furthermore, this review highlights imaging transcriptomics progress in non-human primates, essential for elucidating brain organization and improving animal models evolutionarily to bridge gaps in understanding human disorders. We conclude that brain imaging genomics is set to transform research in neurological and psychiatric disorders, owing to its holistic approach that merges advanced genetic analysis with detailed imaging, will deepen our understanding of the brain, and usher in a new epoch in brain imaging research.

The neurobiological mechanisms underlying the therapeutic effects of meditation therapy in patients with schizophrenia remain poorly understood, therefore, we aim to investigate the relationship between clinical symptoms and the structural changes in brain gray matter in a meditation intervention trial. Han inpatients with schizophrenia admitted to the Shanghai First Civil Affairs Mental Health Centre in 2018 were recruited and randomly assigned to the meditation (Med) or the conventional (CON) treatment group in an eight-months trial. MRI data was collected at the outset, three months, and eight months of treatment. Fifty-eight male subjects completed all evaluations and MRI scans, including 30 in Med and 28 in CON. The findings indicate that meditation can significantly inhibit the extensive regional atrophy of gray matter volume (GMV). A positive correlation was observed between the GMV change rate in the right thalamus and the reduction rate of PANSS positive score (r = 0.3850, p = 0.0028), negative score (r = 0.3789, p = 0.0034) and total score (r = 0.3705, p = 0.0042); The GMV change rate in right insula was positively correlated with PANSS positive score (r = 0.2976, p = 0.0233), negative score (r = 0.3987, p = 0.0019), general score (r = 0.3216, p = 0.0138) and total score (r = 0.3765, p = 0.0035). Additionally, the GMV change rate in the right supplementary motor area was positively correlated with negative scores (r = 0.3633, p = 0.0051). while the right paracentral lobule positively correlated with PANSS general score (r = 0.2791, p = 0.0338). These findings demonstrate the effectiveness of meditation in chronic schizophrenia and suggest it as a promising method for the alleviation of clinical symptoms in schizophrenia.

Tumour infiltrating lymphocytes (TILs) are a key component of the tumour microenvironment. To establish a clinically relevant TILs cut-off for patients with oesophago-gastric (OG) cancer, it is essential to know whether TILs density varies by patient and/or disease characteristics. TILs were quantified as TILs/mm2 (TILs density) by a deep-learning algorithm applied to digitised Haematoxylin/Eosin (H E)-stained biopsies and resection specimens from 4628 patients from nine phase III trials. 4533 patients with TILs density and matched clinicopathological data were included in the final analyses. Associations between TILs density, disease stage, geographical region (UK versus Asia), sex, age, and treatment were analysed. Median TILs density was higher in pre-treatment biopsies from patients with early-stage versus late-stage disease (962 vs 479 TILs/mm2, p < 0.001). Within the same geographical region and disease stage, TILs density was similar across different chemotherapy regimens. In UK-led trials of early-stage disease, post-chemotherapy resections showed higher TILs density than chemotherapy-naïve resections (618 vs 571 TILs/mm2, p = 0.003). TILs density was higher in Asian tumours compared to UK tumours (1419 vs 571 TILs/mm2, p < 0.001). No significant associations were observed with age or sex. This is the largest study to date evaluating TILs density in OG cancer. TILs density varied with stage and geographical region but not by age or sex. These findings may explain enhanced response to immunotherapy observed in published studies of patients with early-stage disease and highlight the need to account for baseline TILs heterogeneity when interpreting TILs as a possible biomarker in future studies.

OBJECTIVE: Extranodal diffuse large B-cell lymphoma (DLBCL) of the oral cavity and maxillofacial region (OC-MR) is rare compared to Waldeyer’s ring (WR) DLBCL, characterized by marked aggressiveness and prognostic heterogeneity. This study aims to develop a special risk stratification model for extranodal DLBCL in OC-MR to overcome the limitations of the conventional International Prognostic Index (IPI) to improve outcome prediction in this high-risk population. METHOD: We conducted a retrospective analysis of 76 OC-MR DLBCL patients (43 extranodal and 33 WR-DLBCL) diagnosed between January 2015 and March 2022. Survival outcomes were assessed using Kaplan-Meier methodology with log-rank testing. Prognostic factors were identified through Cox regression and LASSO analysis, with model validation via concordance index (C-index). RESULT: Patients with extranodal OC-MR DLBCL demonstrated significantly greater multisite involvement (p < 0.001) and worse clinical outcomes compared to WR-DLBCL, including shorter median overall survival (17 vs. 26 months, p = 0.0329), shorter progression free survival (13 vs. 25 months, p = 0.0136) and lower objective response rates (67.4% vs. 84.4%, p = 0.003). Hypoalbuminemia (< 37 g/L), elevated C-reactive protein (> 5.83 mg/L), and high Ki67 index (> 80%) predicted poor prognosis. These clinicopathological biomarkers were integrated with IPI to develop the novel exploratory KACIPI model, which demonstrated a potentially improved discriminative ability than IPI (C-index 0.768 vs. 0.680, p < 0.001) and effectively stratified extranodal OC-MR DLBCL risk groups (p < 0.05). CONCLUSION: Extranodal OC-MR DLBCL exhibits distinct clinicopathological features and inferior survival outcomes. The exploratory KACIPI model may provide improved risk prediction for extranodal OC-MR DLBCL by incorporating tumor proliferation, inflammatory markers, nutritional status into conventional IPI score, enabling more accurate identification of high-risk patients.