The unexpected PD-L1 suppression function of celery-derived extracellular vesicles improves lung cancer chemotherapy efficacy.

The article explores celery-derived extracellular vesicles (CDEVs), characterized by high cellular uptake, low immunogenicity, and high stability, as a therapeutic strategy for antitumor nanomedicines. The methods employed in this study include cell experiments such as co-culture, Western Blot, and flow cytometry. experiments were conducted in C57BL/6 tumor-bearing mice subcutaneously injected with Lewis lung carcinoma (LLC) cells.

Fat Liquefaction and Lipo Particles in a CIED Pocket During Generator Change-Not an Infection: A Rare Case Report.

A case of fat liquefaction and fat particles in the pacemaker pocket observed in a female patient 12 years after implantation. The patient had no symptoms and no signs of infection or other discomfort of the heart and pacemaker pocket. The biochemical analysis showed a slight increase in cardiac troponin T, 0.

Evaluation of the actinia-shaped composite coagulant for removal of algae in water: Role of charge density.

A series of novel cationic modified actinia-shaped composite coagulant (AMS-C), with similar tentacle length and distribution but different charge density (CD), was successfully designed and fabricated by combination of a cationic graft starch and attapulgite (ATP). AMS-C shows a high efficiency in coagulative removal of Microcystis aeruginosa from water over a wide pH range. The algae-harvesting efficiency of optimized AMS-C can reach to 92.

Development and validation of a prognostic nomogram incorporating neutrophil-to-albumin ratio for predicting overall survival in patients with nasopharyngeal carcinoma undergoing concurrent chemoradiotherapy.

Background: Recent research suggests that the emerging neutrophil-albumin ratio (NAR) has a significant correlation with the survival outcomes across a range of tumors, yet its predictive significance for nasopharyngeal carcinoma (NPC) remains insufficiently investigated. This study aimed to evaluate the relationship between the neutrophil-to-albumin ratio (NAR) and overall survival (OS) in patients with NPC, as well as to develop a corresponding prognostic model.

Methods: This retrospective analysis included 861 NPC patients treated with concurrent chemoradiotherapy (CCRT), who were randomly divided into a training group (n = 605) and a validation group (n = 256).

Machine Learning for Predicting Primary Graft Dysfunction After Lung Transplantation: An Interpretable Model Study.

Background: Primary graft dysfunction (PGD) develops within 72 h after lung transplantation (Lung Tx) and greatly influences patients' prognosis. This study aimed to establish an accurate machine learning (ML) model for predicting grade 3 PGD (PGD3) after Lung Tx.

Methods: This retrospective study incorporated 802 patients receiving Lung Tx between July 2018 and October 2023 (640 in the derivation cohort and 162 in the external validation cohort), and 640 patients were randomly assigned to training and internal validation cohorts in a 7:3 ratio.