Effects of fluconazole on the pharmacokinetics of celecoxib and its carboxylic acid metabolite in different CYP2C9 genotypes.

This study aimed to investigate the effects of fluconazole, a moderate inhibitor of CYP2C9 and CYP3A4, on the pharmacokinetics of celecoxib and its carboxylic acid metabolite in different CYP2C9 genotypes. A total of thirty-nine healthy Korean male volunteers were divided into three different CYP2C9 genotype groups (CYP2C9*1/*1, *1/*3 and *3/*3 genotypes) and were enrolled in the celecoxib alone trial, celecoxib with fluconazole trial, or both. In the celecoxib alone trial, participants received a single oral dose of 200 mg celecoxib.

The inflammatory bowel disease and gut microbiome are restored by employing metformin-loaded alginate-shelled microcapsules.

Inflammatory bowel disease (IBD) is a chronic or recurrent inflammatory disorder affecting various parts of the gastrointestinal tract. Metformin, a widely prescribed hypoglycemic drug for type 2 diabetes, has shown potential in reducing IBD risk. However, its oral administration faces significant challenges due to the harsh gastrointestinal environment, requiring higher or more frequent doses to achieve therapeutic effects, which increases the risk of side effects.

Improving the prediction of chemotherapy dose-limiting toxicity in colon cancer patients using an AI-CT-based 3D body composition of the entire L1-L5 lumbar spine.

Purpose: Chemotherapy dose-limiting toxicities (DLT) pose a significant challenge in successful colon cancer treatment. Body composition analysis may enable tailored interventions thereby supporting the mitigation of chemotherapy toxic effects. This study aimed to evaluate and compare the effectiveness of using three-dimensional (3D) CT body composition measures from the entire lumbar spine levels (L1-L5) versus a single vertebral level (L3), the current gold standard, in predicting chemotherapy DLT in colon cancer patients.

In situ forming and self-crosslinkable protein hydrogels for localized cancer therapy and topical wound healing.

Proteins, inherently biocompatible and biodegradable, face a challenge in forming stable hydrogels without external chemical crosslinkers. Here, we construct a ring-shaped trimeric SpyTag-fused Proliferating Cell Nuclear Antigen Protein (ST-PCNA) as a core protein building block, and a dumbbell-shaped tandem dimeric SpyCatcher (SC-SC) as a bridging component. Self-crosslinked PCNA/SC-SC Protein (2SP) hydrogels are successfully formed by simply mixing the solutions of ST-PCNA and SC-SC, without chemical crosslinkers.

Towards A universal settling model for microplastics with diverse shapes: Machine learning breaking morphological barriers.

Accurately predicting the settling velocity of microplastics in aquatic environments is a prerequisite for reliably modeling their transport processes. An increasing number of settling models have been proposed for microplastics with fragmented, filmed, and fibrous morphologies, respectively. However, none of the existing models demonstrates universal applicability across all three morphologies.