Effects of immersion bathing in Lactobacillus plantarum CLY-05 on the growth performance, non-specific immune enzyme activities and gut microbiota of Apostichopus japonicus.

In order to study the optimal use of Lactobacillus plantarum in sea cucumber (Apostichopus japonicus), 49 days feeding trial was conducted to determine the influence of immersion bathing in different concentrations of Lactobacillus plantarum CLY-05 on body weight gain rate and non-specific immune activities. The potential effect of CLY-05 on gut microbiota was also analyzed during the immersion bathing at the optimum concentration. The results showed that the body weight growth rate of all bathing groups was higher than that of control.

Optimized MALDI2-Mass Spectrometry Imaging for Stable Isotope Tracing of Tissue-Specific Metabolic Pathways in Mice.

Spatial stable isotope tracing metabolic imaging is a cutting-edge technique designed to investigate tissue-specific metabolic functions and heterogeneity. Traditional matrix-assisted laser desorption ionization-mass spectrometry imaging (MALDI-MSI) techniques often struggle with low coverage of low-molecular-weight (LMW) metabolites, which are often crucial for spatial metabolic studies. To address this, we developed a high-coverage spatial isotope tracing metabolic method that incorporates optimized matrix selection, sample preparation protocols, and enhanced post-ionization (MALDI2) techniques.

Synthesis of Sulfenamides via Photoredox N-S Coupling of Dialkyl Azodicarboxylates and Thiols.

We herein report a photoredox N-S coupling reaction between dialkyl azodicarboxylates and thiols to access sulfenamide scaffolds. This reaction proceeds under mild, green, and operationally simple conditions, offering a broad scope of sulfenamides with high yields and excellent atom efficiency. Mechanistic investigations revealed this reaction followed a photoinitiated radical pathway in which iodide plays a crucial role as both a radical initiator and a single-electron reductant.

Large Language Models in Worldwide Medical Exams: Platform Development and Comprehensive Analysis.

Background: Large language models (LLMs) are increasingly integrated into medical education, with transformative potential for learning and assessment. However, their performance across diverse medical exams globally has remained underexplored.

Objective: This study aims to introduce MedExamLLM, a comprehensive platform designed to systematically evaluate the performance of LLMs on medical exams worldwide.

Race as a prognostic factor of breast mucinous carcinoma.

Purpose: The rarity of breast mucinous carcinoma (BMC) makes it challenging to study the prognosis of this disease across diverse racial populations. This study aimed to leverage epidemiological data on immigrant populations to elucidate the prognostic differences in BMC patients from various racial/ethnic backgrounds. The goal was to help formulate more personalized clinical practice guidelines for the management of this rare malignancy.