Heterogeneity of Non-HLA Antibody Prevalence in Kidney Antibody-mediated Rejection With the Commercial Luminex Assays
is available online at doi.org/10.1097/TP.0000000000005363. Supplemental digital content (SDC) is available for this article. Direct URL citations appear in the printed text, and links to the digital files are provided in the HTML text of this article on the journal’s Web site (www.transplantjournal.com). Correspondence: Idoia Gimferrer, MD, PhD, Bloodworks Northwest, Immunogenetics/ HLA Laboratory, Seattle, WA 98104. (igimferrer@bloodworksnw.org). Copyright © 2025 Wolters Kluwer Health, Inc. All rights reserved. ISSN: 0041-1337/20/1098-e409 DOI: 10.1097/TP.0000000000005363 Original Clinical Science—General Copyright © 2025 Wolters Kluwer Health, Inc. Unauthorized reproduction of this article is prohibited. e410 Transplantation ■ August 2025 ■ Volume 10 9 ■ Number 8 www.transplantjournal.com anti-HLA DSAs.1,5 Several studies have attempted to define new non-HLA targets as being associated with AMR and/ or impact allograft survival.1,4,10-19 However, substantial heterogeneity exists between studies, potentially explained by the difficulty of developing validated tests for non-HLA antibodies.5 These uncertainties are triggered by the dif ferences across study design related to the type of assays used (solid-phase or cell-based), lack of adequate charac terization of anti-HLA DSAs across data sets, timing of non-HLA antibody sampling, and absence of clear AMR cases mediated through specific non-HLA antibodies for clinical validation.11,20 Accordingly, the Sen
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Polymeric Nanohybrids Engineered by Chitosan Nanoparticles and Antimicrobial Peptides as Novel Antimicrobials in Food Biopreservatives: Risk Assessment and Anti-Foodborne Pathogen Escherichia coli O157:H7 Infection by Immune Regulation
: Polymeric nanomaterials (APs) are gaining attention as promising clinical antimicrobials with rapidly increasing antibiotic resistance. Infections by zoonotic enterohemorrhagic Escherichia coli are a severe global threat to public health. Chitosan nanoparticles-microcin J25 (CNM), a class of APs engineered by bioactive peptides and chitosan nanoparticles, can be used as a novel antimicrobial agent against bacterial infections. However, the risk assessment of CNM on animal health or its potential immune modulation to treat serotype E. coli O157:H7 infection impacts in vivo are not well understood. Herein, our findings in mouse models uncovered that oral administration of low levels of CNM significantly increased the body weight and made beneficial effects on the l ifespan or clinical signs, accompanied by a significant improvement in gut health, including enhancing the intestinal barrier, immune modulation, and changes in gut microbiota compositions or metabolites. However, high concentrations of CNM induced serious adverse effects, negatively improving intestinal health targets. Anti-infective results proved that oral 0.1% CNM enhances host defense against E. coli O157:H7 infection by improving immune functions and modulating the Th1/Th2 balance. In summary, these findings uncover an instrumental link between the dosage and toxicity risk, suggesting that APs need to be comprehensively assessed for risk before application as safe and reliable food preservatives or therapeutic
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Recent advances in bioactive wound dressings
Traditional wound dressings, despite their widespread use, face limitations, such as poor infection control and insufficient healing promotion. To address these challenges, bioactive materials have emerged as a promising solution in wound care. This comprehensive review explores the latest developments in wound healing technologies, starting with an overview of the importance of effective wound management, emphasising the need for advanced bioactive wound dressings. The review further explores various bioactive materials, defining their characteristics. It covers a wide range of natural and synthetic biopolymers used to develop bioactive wound dressings. Next, the paper discusses the incorporation of bioactive agents into wound dressings, including antimicrobial and anti-inflammatory agents, alongside regenerative comp onents like growth factors, platelet-rich plasma, platelet-rich fibrin and stem cells. The review also covers fabrication techniques for bioactive wound dressings, highlighting techniques like electrospinning, which facilitated the production of nanofibre-based dressings with controlled porosity, the sol–gel method for developing bioactive glass-based dressings, and 3D bioprinting for customised, patientspecific dressings. The review concludes by addressing the challenges and future perspectives in bioactive wound dressing development. It includes regulatory considerations, clinical efficacy, patient care protocol integration and wound healing
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Real-time, mobile-compatible, and low-cost fall detection system with deep learning
Falls are a major public health risk for older adults, yet practical fall-detection systems must be accurate, low-cost, and deployable on resource-constrained devices. We propose an event-triggered hybrid pipeline where an abnormal-acceleration threshold activates a camera module, and a two-stage model (YOLOv5 person localization followed by an eight-layer CNN) veriļ¬es falls from the cropped region of interest. Experiments use a public dataset with a predeļ¬ned Train/Val split (374/111), treating Val as a held-out test set; labels (Fall/Walking/Sitting) are mapped to Fall vs. Non-Fall. To prevent leakage, ofļ¬ine augmentation is applied only to the training data (374 →1092 effective images), while the held-out test set remains unchanged; hyperparameters are selected using an in ternal split of the training partition only. On the held-out test set (72 Fall, 39 Non-Fall), the proposed system achieves 80.2% accuracy, 84.7% sensitivity, and 84.7% F1-score. The deployed INT8 model requires 2.3 MB and runs at 14.8 FPS with 125ms end-to-end capture-to-decision latency on an embedded camera platform, enabling timely mobile alerts. The dataset does not provide demographic metadata; thus, stratiļ¬ed analyses are out of scope.
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