Application of Dorzagliatin in peritoneal dialysis patients with type 2 diabetes mellitus: A case report.

Background: Treating diabetes in dialysis patients remains a challenge, with many hypoglycemic drugs requiring dose adjustments or avoidance in these patients.

Case Summary: This report describes an 83-year-old female patient with a 30-year history of type 2 diabetes (T2DM) who had struggled to control her blood sugar for more than a year. She had a history of high blood pressure for 30 years, had undergone continuous ambulatory peritoneal dialysis for more than two years, was 163 cm tall, weighed 77 kg, and had a body mass index of 28.

Yi-Fei-San-Jie Chinese medicine formula reverses immune escape by regulating deoxycholic acid metabolism to inhibit TGR5/STAT3/PD-L1 axis in lung cancer.

Background: Yi-Fei-San-Jie Formula (YFSJF), a proprietary medicine of the First Affiliated Hospital of Guangzhou University of Chinese Medicine, has been widely used in clinical practice for several years and is currently being tested in randomized controlled trials for early-stage lung cancer in China. However, the mechanisms by which YFSJF affects lung cancer biology, particularly the immune microenvironment and metabolic processes, remain poorly understood.

Purpose: This study aims to explore how YFSJF modulates the immune microenvironment and metabolism in lung cancer, specifically its unique role in inhibiting immune evasion by targeting the TGR5/STAT3/PD-L1 pathway, which has not previously been reported.

SNAP25-induced MYC upregulation promotes high-grade neuroendocrine lung carcinoma progression.

Background: This study investigated the expression and role of Synaptosome associated protein 25 (SNAP25) in high-grade neuroendocrine carcinoma (HGNEC).

Methods: We used differentially expressed analysis and weighted gene co-expression network analysis (WGCNA) to identify key genes and modules in HGNEC. KEGG and GO analyses helped understand these genes' roles, and ROC curves assessed their diagnostic value.

Pathogenicity of Highly Pathogenic Avian Influenza A(H5N1) Viruses Isolated from Cats in Mice and Ferrets, South Korea, 2023.

The prevalence of highly pathogenic avian influenza (HPAI) A(H5N1) viruses has increased in wild birds and poultry worldwide, and concomitant outbreaks in mammals have occurred. During 2023, outbreaks of HPAI H5N1 virus infections were reported in cats in South Korea. The H5N1 clade 2.

Evaluation of Clinical Efficacy of Acupuncture and Moxibustion for Asthma: Systematic Review and Meta-Analysis.

Objective: The effectiveness of manual acupuncture for treating bronchial asthma is still debatable and broad, and the effects of different acupuncture points, treatment durations, or illness trajectories have never been rigorously assessed. The objective of this revised systematic review and subgroup meta-analysis of randomized controlled trials (RCTs) is to ascertain the clinical efficacy of manual acupuncture on bronchial asthma and whether these effects varied depending on the acupuncture points, length of treatment, or course of the disease.

Materials And Methods: PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) criteria were followed for creating a systematic review and meta-analysis.

Robust Multi-Agent Communication With Graph Information Bottleneck Optimization.

Recent research on multi-agent reinforcement learning (MARL) has shown that action coordination of multi-agents can be significantly enhanced by introducing communication learning mechanisms. Meanwhile, graph neural network (GNN) provides a promising paradigm for communication learning of MARL. Under this paradigm, agents and communication channels can be regarded as nodes and edges in the graph, and agents can aggregate information from neighboring agents through GNN.

Cl ⋅ Mediates Direct and Selective Conversion of Inert C(sp )-H Bonds into Aldehydes/Ketones.

Developing new reactive pathway to activate inert C(sp )-H bonds for valuable oxygenated products remains a challenge. We prepared a series of triazine conjugated organic polymers to photoactivate C-H into aldehyde/ketone via O →H O →⋅OH→Cl⋅→Cl ⋅ . Experiment results showed Cl ⋅ could successively activate C(sp )-H more effectively than Cl⋅ to generate unstable dichlorinated intermediates, increasing the kinetic rate ratio of dichlorination to monochlorination by a factor of 2,000 and thus breaking traditional dichlorination kinetic constraints.

Assessment of genetic diversity and population structure of Neocaridina denticulata sinensis in the Baiyangdian drainage area, China, using microsatellite markers and mitochondrial cox1 gene sequences.

Neocaridina denticulata sinensis is a crustacean of major economic significance in the Baiyangdian drainage area. In this study, the first assessment of N. denticulata sinensis genetic diversity and population structure was performed based on sequence analysis of nine polymorphic microsatellite loci and the mitochondrial cytochrome oxidase subunit I (cox1) gene.

Artificial intelligence for gastroenterology: Singapore artificial intelligence for Gastroenterology Working Group Position Statement.

Background: Successful implementation of artificial intelligence in gastroenterology and hepatology practice requires more than technology. There are ethical, legal, and social issues that need to be settled.

Aim: A group consisting of AI developers (engineer), AI users (gastroenterologist, hepatologist, and surgeon) and AI regulators (ethicist and administrator) formed a Working Group to draft these Positions Statements with the objective of arousing public and professional interest and dialogue, to promote ethical considerations when implementing AI technology, to suggest to policy makers and health authorities relevant factors to take into account when approving and regulating the use of AI tools, and to engage the profession in preparing for change in clinical practice.

Effects of arbuscular mycorrhizae and extraradical mycelium of subtropical tree species on soil nitrogen mineralization and enzyme activities.

Through symbiosis with plants, arbuscular mycorrhizal (AM) fungi effectively improve the availability of soil nitrogen (N). However, the mechanism through which AM and associated extraradical mycelium affect soil N mineralization remains unknow. We carried out an soil culture experiment by using in-growth cores in plantations of three subtropical tree species, , , and .

On the Robustness of Average Losses for Partial-Label Learning.

Partial-label learning (PLL) utilizes instances with PLs, where a PL includes several candidate labels but only one is the true label (TL). In PLL, identification-based strategy (IBS) purifies each PL on the fly to select the (most likely) TL for training; average-based strategy (ABS) treats all candidate labels equally for training and let trained models be able to predict TL. Although PLL research has focused on IBS for better performance, ABS is also worthy of study since modern IBS behaves like ABS in the beginning of training to prepare for PL purification and TL selection.

Construction and application of Chinese breast cancer knowledge graph based on multi-source heterogeneous data.

The knowledge graph is a critical resource for medical intelligence. The general medical knowledge graph tries to include all diseases and contains much medical knowledge. However, it is challenging to review all the triples manually.

Development and validation of a liquid chromatography-triple quadrupole mass spectrometry method for the determination of isopeptide ε-(γ-glutamyl) lysine in human urine as biomarker for transglutaminase 2 cross-linked proteins.

Determination of the levels of protein cross-linking catalysed by the activity of transglutaminase 2 in various disease states has remained a significant challenge. The ability to quantify the isopeptide ε-(γ-glutamyl) lysine, which can form as a heterogeneous bond within or between proteins has significant analytical and clinical potential as a biomarker in biofluids such as human urine. Increased transglutaminase 2 activity is associated with a number of diseases, such as fibrosis.

Fluoride Evaporation of Low-Fluoride CaF-CaO-AlO-MgO-TiO-(NaO-KO) Slag for Electroslag Remelting.

To elucidate the behavior of fluoride evaporation in an electroslag remelting process, the non-isothermal evaporation of the low-fluoride CaF-CaO-AlO-MgO-TiO-(NaO-KO) slag is studied using thermogravimetric analysis. The evaporation law of the melted slag is further verified using thermodynamic calculations. Fourier transformation infrared (FTIR) spectroscopy is used to evaluate the change in slag structure.

Multiagent Reinforcement Learning With Graphical Mutual Information Maximization.

Communication learning is an important research direction in the multiagent reinforcement learning (MARL) domain. Graph neural networks (GNNs) can aggregate the information of neighbor nodes for representation learning. In recent years, several MARL methods leverage GNN to model information interactions between agents to coordinate actions and complete cooperative tasks.

Counting and mapping of subwavelength nanoparticles from a single shot scattering pattern.

Particle counting is of critical importance for nanotechnology, environmental monitoring, pharmaceutical, food and semiconductor industries. Here we introduce a super-resolution single-shot optical method for counting and mapping positions of subwavelength particles on a surface. The method is based on the deep learning analysis of the intensity profile of the coherent light scattered on the group of particles.

Highly Accurate and Robust Absolute Quantification of Target Proteins in Formalin-Fixed Paraffin-Embedded (FFPE) Tissues by LC-MS.

Accurate, absolute liquid chromatography-mass spectrometry (LC-MS)-based quantification of target proteins in formalin-fixed paraffin-embedded (FFPE) tissues would greatly expand sample availability for pharmaceutical/clinical investigations but remains challenging owing to the following issues: (i) efficient/quantitative recovery of target signature peptides from FFPE tissues is essential but an optimal procedure for targeted, absolute quantification is lacking; (ii) most FFPE samples are long-term-stored; severe immunohistochemistry (IHC) signal losses of target proteins during storage were widely reported, while the effect of storage on LC-MS-based methods was unknown; and (iii) the proper strategy to prepare calibration/quality-control samples to ensure accurate targeted protein analysis in FFPE tissues remained elusive. Using targeted quantification of monoclonal antibody (mAb), antigen, and 40 tissue markers in FFPE tissues as a model system, we extensively investigate those issues and develope an LC-MS-based strategy enabling accurate and precise targeted protein quantification in FFPE samples. First, we demonstrated a surfactant cocktail-based procedure (-SEPOD), providing high/reproducible recovery of target signature peptides from FFPE tissues.

In-depth mapping of protein localizations in whole tissue by micro-scaffold assisted spatial proteomics (MASP).

Accurate, in-depth mapping of proteins on whole-tissue levels provides comprehensive insights into the spatially-organized regulatory processes/networks in tissues, but is challenging. Here we describe a micro-scaffold assisted spatial proteomics (MASP) strategy, based on spatially-resolved micro-compartmentalization of tissue using a 3D-printed micro-scaffold, capable of mapping thousands of proteins across a whole-tissue slice with excellent quantitative accuracy/precision. The pipeline includes robust tissue micro-compartmentalization with precisely-preserved spatial information, reproducible procurement and preparation of the micro-specimens, followed by sensitive LC-MS analysis and map generation by a MAsP app.

A century-long eddy-resolving simulation of global oceanic large- and mesoscale state.

Investigating oceanic variations at multiple spatial and temporal scales is vital for an in-depth understanding of the ocean response to global climate change. However, the available observational datasets contain uncertainties and deficiencies that leave them insufficient for investigating global ocean variability with long temporal scales and/or meso spatial scales. Here, we present a daily and century-long (1901-2010) global oceanic simulation dataset with high resolution (1/10° horizontal resolution and 55 vertical layers) forced by 6-hour atmospheric data from ERA-20C.

Anoikis-Associated Lung Cancer Metastasis: Mechanisms and Therapies.

Tumor metastasis occurs in lung cancer, resulting in tumor progression and therapy failure. Anoikis is a mechanism of apoptosis that combats tumor metastasis; it inhibits the escape of tumor cells from the native extracellular matrix to other organs. Deciphering the regulators and mechanisms of anoikis in cancer metastasis is urgently needed to treat lung cancer.

An antibody-free platform for multiplexed, sensitive quantification of protein biomarkers in complex biomatrices.

Sensitive, multiplexed protein quantification remains challenging despite recent advancements in LC-MS assays for targeted protein biomarker quantification. High-sensitivity protein biomarker measurements usually require immuno-affinity enrichment of target protein; a process which is highly dependent on capture reagent and limited in capability to measure multiple analytes. Herein, we report a novel antibody-free platform, which measures multiple biomarkers from complex matrices employing a strategically optimized solid-phase extraction cleanup and orthogonal multidimensional LC-MS.

A study of mechanical ventilation in the ICU after cardiac surgery: a bibliometric analysis.

Background: After cardiac surgery, patients are often admitted to the intensive care unit (ICU) due to various preoperative factors and continue to receive mechanical ventilation. This study sought to conduct a bibliometric analysis to summarize studies on mechanical ventilation among postoperative ICU patients who had undergone cardiac surgery.

Methods: We searched the Science Citation Index Expanded (SCI-E) database using the following terms: "cardiac surgery (Topic)", "intensive care (Topic)" and "ventilation (Topic)".

Deep Learning From Multiple Noisy Annotators as A Union.

Crowdsourcing is a popular solution for large-scale data annotations. So far, various end-to-end deep learning methods have been proposed to improve the practical performance of learning from crowds. Despite their practical effectiveness, most of them have two major limitations-they do not hold learning consistency and suffer from computational inefficiency.

Sulfone-Decorated Conjugated Organic Polymers Activate Oxygen for Photocatalytic Methane Conversion.

Oxidizing CH into liquid products with O under mild conditions still mainly relies on metal catalysis. We prepared a series of sulfone-modified conjugated organic polymers and found that the catalyst with proper S content (0.10) could drive O →H O →⋅OH to oxidize CH into CH OH and HCOOH directly and efficiently at room temperature under light irradiation.