Predictive value of three nutritional indexes for disease activity in patients with inflammatory bowel disease.

Background: Malnutrition is prevalent in patients with inflammatory bowel disease (IBD); however, its ability to predict the disease activity in IBD remains unexplored. Therefore, this study aimed to explore the association between malnutrition and disease activity in IBD.

Methods: In this retrospective study, we enrolled 1006 patients diagnosed with IBD from the First Affiliated Hospital of Wenzhou Medical University from 2011 to 2022.

L3-SMI as a predictor of overall survival in oesophageal cancer patients receiving PD-1 inhibitors combined with chemotherapy.

Background: Programmed death ligand-1 (PD-1), as an immunotherapy target, has been increasingly used in tumour therapies. But as reactions and outcomes to PD-1 inhibitors combined with chemotherapy vary individually, it is primarily important to identify an ideal indicator for predicting the therapeutic effectiveness in individual patients. Oesophageal cancer (EC) patients often have difficulty eating due to tumour blockage of the oesophagus, leading to malnutrition and muscle loss.

Curcumin mediates glutathione depletion via metal-organic framework nanocarriers to enhance cisplatin chemosensitivity on esophageal cancer.

Cisplatin (CDDP) is the primary drug used in the initial treatment of esophageal cancer (EC). However, its side effects and resistance can limit its effectiveness in clinical therapy. Curcumin (Cur)-mediated glutathione (GSH) depletion can reverse resistance, enhance the chemosensitivity of CDDP, and further improve the efficacy of platinum-containing chemotherapy in the treatment of esophageal cancer.

MethylGPT: a foundation model for the DNA methylome.

DNA methylation serves as a powerful biomarker for disease diagnosis and biological age assessment. However, current analytical approaches often rely on linear models that cannot capture the complex, context-dependent nature of methylation regulation. Here we present MethylGPT, a transformer-based foundation model trained on 226,555 (154,063 after QC and deduplication) human methylation profiles spanning diverse tissue types from 5,281 datasets, curated 49,156 CpG sites, and 7.