作者: Liu, Shanshan ; Quan, Kecheng ; Zhang, Cheng ; Wang, Shenglin ; He, Jian ; Li, Weishi ; Xu, Nanfang ; Zhou, Xingyu ; Zhang, Ting ; Xue, Shilin ; Sun, Jiang ; Xie, Dingbang ; Zheng, Yufeng ; Tian, Yinglun ; Mao, Zhinan ; Yao, Xingchen

Irreducible atlantoaxial dislocation is a challenging condition for spine surgeons and carries a particularly high risk of postoperative infection due to its trans-oral approach for peri-odontoid soft tissue release. Conventional antibacterial implant coatings are limited by rapid burst release, leading to short-term efficacy and potential cytotoxicity. To address this, we developed a composite coating of silver nanoparticle-decorated ZIF-8 (AgZ) within a tunable methacrylate gelatin (GelMA) and silk fibroin (SF) matrix (AgZ/GelSF) for 3D-printed Ti-6Al-4V fusion cages. The AgZ nanocomposite enhanced silver dispersibility and potency, reducing the minimum bactericidal concentration against MRSA and E. coli by over 4-fold and 13-fold, respectively. By adjusting the GelMA-to-SF mass ratio, we finely tuned the degradation rate and silver release profile, ensuring a sustained release over 28 days, which aligns with the typical wound healing timeline. RNA sequencing indicated the coating's mechanism involves bacterial membrane disruption and metabolic interference, preventing biofilm formation. Optimization of the coating components demonstrated excellent biocompatibility and osteogenic performance both in vitro and in a rabbit femoral defect model. In a bacteria-contaminated porcine model for atlantoaxial fixation and intra-articular fusion, the AgZ/GelSF-coated implant effectively eliminated bacterial infection and supported successful bone fusion, all while showing no systemic toxicity. Compared with previous studies, this work demonstrates significant advantages in antibacterial efficiency, drug release duration and evaluation models. These findings suggest that the AgZ/GelSF composite coating is a promising strategy for preventing implant-associated infections through a degradation-controlled drug release platform.

2026-01-01·IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Early Detection of Bladder Cancer Using Advanced Feature Engineering and Swarm Intelligence Optimization on EHRs

Article

作者: Preston, Andrea ; Loizou, Michael ; Zhou, Shang-Ming ; Aning, Jonathan ; Wang, Xu

BACKGROUND:

Bladder cancer (BC) symptoms often overlap with benign conditions, while no routine screening exists for general population. We aim to develop a machine learning (ML)-based screening pipeline for early BC detection using electronic-health-records (EHRs) in primary care.

METHODS:

A multi-centred case-control cohort (1995-2018; n = 64,884) was created for model training and testing. We further validated the model prospectively on an independent cohort (2019-2020; n = 4,569). We proposed the Parsimony driven REweighting for Calibrated Input-based Screening for Early detection-Adjustable Grey Zone (PRECISE-AGZ), which identified influential features from 48,261 candidates and developed a calibrated logistic regression screening model with optimised grey-zone thresholds.

RESULTS:

We finally identified 38 features, achieving an AUC (area under the curve) of 0.789 (95% CI: 0.780-0.798) on testing set. Neurological disorders (e.g., Parkinson's disease, OR: 0.86, 95% CI: 0.79-0.92) and medications (e.g., Tamoxifen, OR: 1.13, 95% CI: 1.07-1.20) emerged as novel predictors for BC screening. The screening model stratified the population into three risk categories based on predicted probability: low-risk (0.55), achieving a sensitivity of 0.852, F1-score of 0.799, and screening population coverage (SPC) of 34.5%. Applied to the prospective validation cohort, model performance varied by months before BC diagnosis, with sensitivities ranging from 0.872 (F1-score: 0.714, SPC: 29.9%) at the first month to 0.667 (F1-score: 0.690, SPC: 12.7%) at the twelfth month.

CONCLUSION:

The PRECISE-AGZ pipeline efficiently identified clinical signals from EHRs for early BC detection, offering promising potential for implementing population-based BC screening.

2024-11-01·INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES

Silver decorated zeolite embedded in bionanocomposite hydrogels based on cross-linked carboxymethyl cellulose for excellent catalytic hydrogenation of azo dyes

Article

作者: Sadi, Amina ; Benhalima, Tayeb ; Ferfera-Harrar, Hafida ; Doufene, Nassim

Herein, bionanocomposite beads based on Carboxymethyl cellulose/Dextrant sulfate (CMC/DS) embedding silver nanoparticle-functionalized zeolite (AgZ) were developed and proposed as catalysts for catalytic hydrogenation of Direct Red 16 (DR16) azo dye under different experimental parameters. The obtained results showed that AgZ incorporation into the polymer matrix produced highly porous structures with improved thermal stability. For antibacterial application, it was shown that the engineered bionanocomposites were effective against all tested bacteria. The CMC-DS-AgZ catalysts showed good catalytic performances for the hydrogenation of DR16 in various real-life water samples and even in presence of several mineral salts, however with a high efficiency (99 %) obtained for the catalyst prepared at elevated AgZ content (with a k_app rate constant of 0.239 min^-1). Moreover, the hydrogenation study of various azo dyes highlighted the satisfactory application potential of the catalysts and their versatility. The catalyst beads showed good recyclability for five successive cycles without any significant loss of efficiency or stability. The proposed mechanism for DR16 catalytic hydrogenation on C3-D1-AgZ revealed that AgZ could enhance the catalytic activity of the beads by facilitating the formation of AgH intermediates. Finally, the green synthesized materials were shown to be viable and potential candidates for the purification of environmental media.

100 项与 AGZ 相关的药物交易

登录后查看更多信息