Recyclable Cu-Catalyzed -Methylation and C5-Methylthiomethylation of Isatins with DMSO.

An unprecedented recyclable system of copper-catalyzed C-C/N coupling of isatins and DMSO without any oxidant and acidic/basic additive has been unlocked. The -isatins occur tandem -methylation and C5-methylthiomethylation in order, while -substituted isatins proceed C5-methylthiomethylation only. DMSO serves as Me and MeSCH sources as well as the solvent.

Comparative effectiveness of remote perioperative telemonitoring in cancer surgery: a randomized trial.

This randomized trial compared remote perioperative telemonitoring (RPM) care versus surgeon only care in patients with gastrointestinal (GI), genitourinary (GU), or gynecological (GYN) cancers (N = 293). The RPM care arm wore a wristband accelerometer and reported symptoms via a mobile application (app) before surgery and at days 7, 14, 30, 60, 90 post-discharge. Triage nurses telephoned patients when data deviated from predetermined thresholds.

sp. nov., isolated from Niya Fish Salt Lake Sediment in Xinjiang, Northwest China.

A Gram-stain-negative, aerobic, rod-shaped, oxidase- and catalase-positive and non-motile bacterium, named MINF-07-Sa-05, was isolated from sediment samples collected from Niya Fish Salt Lake in Xinjiang, northwest China. Phylogenetic tree based on 16S rRNA gene sequences showed that strain MINF-07-Sa-05 consistently fell within the genus and formed a clade together with ZV-19 (98.97%) and 4CA (96.

A Review on the Application of Biosensors for Monitoring Emerging Contaminants in the Water Environment.

Due to the frequent occurrence and elevated concentrations of emerging contaminants (ECs) in water environments, as well as their high toxicity, these compounds have become a growing concern, threatening water safety, human health, and environmental health. Stricter regulations and routine monitoring are required to control EC pollution in water. Analytical chemistry-based techniques are the most widely used approach for quantifying ECs in environmental samples.

Engineered plasmonic-covalent organic frameworks nanoarchitecture synergized with hybridization chain reaction for dual-mode sensing of sub-picomolar biomarkers.

The precise detection of ultralow-abundance biomarkers in biological matrices remains a critical challenge. Herein, we engineer a plasmonic-organic heterostructure for ultrasensitive detection of p53 gene in bio-samples. The heterostructure is formed by the self-assembly of polyethyleneimine (PEI)-functionalized covalent organic frameworks (COFs) and gold nanoparticles (Au NPs), named as COFs@PEI@Au NPs (C@P@A for short).

Deep learning-based image reconstruction benefits diffusion tensor imaging for assessing severity of depression.

Objective: This study aimed to evaluate whether deep learning-based image reconstruction (DLR) improves the accuracy of diffusion tensor imaging (DTI) measurements used to assess the severity of depression.

Methods: A total of 52 patients diagnosed with depression in our hospital between March 2023 and July 2023 were enrolled in this study. The severity of depression was measured using the 9-item Patient Health Questionnaire (PHQ-9).

Steering in the dark: The impact of environmental luminance on driver behavior through optical flow analysis.

The visual perception and steering behavior of drivers are known to be influenced by environmental lighting, but the underlying perception mechanisms, particularly the role of optical flow under low-luminance conditions, remain insufficiently understood. In a simulated driving experiment, 32 participants were exposed to five controlled luminance levels while their eye movements and driving performance were recorded. The results indicate that lower environmental luminance leads to prolonged gaze duration, a wider distribution of gaze points, and an increase in lateral steering errors.

Effects of soil labile carbon fractions and microbes on GHG emissions from flooding to drying in paddy fields.

Soil microorganisms and labile soil organic carbon (SOC) fractions are essential factors affecting greenhouse gas (GHG) emissions in paddy fields. However, the effects of labile SOC fractions and microorganisms on GHG emissions from flooding to drying after organic fertilizer replacing for chemical fertilizer remain unclear. Here, a long-term experiment was conducted with four treatments: chemical fertilization only (control), organic fertilizer substituting 25 % of chemical N fertilizer (NM1), 50 % of chemical N fertilizer (NM2), and NM2 combined with crop straw (NMS).

Impact of second victim experience and support and psychological empowerment on depressive symptoms among nurses in China -a latent class analysis.

Background: Nurses, as the largest professional group in the healthcare industry, often face different psychological problems, among which depressive symptoms is the most common. This study used the latent class analysis (LCA) to classify nurses' depressive symptoms, analyzing the differences in their second victim experience and support, psychological empowerment, and psychological detachment, providing reference for promoting nurses' mental health.

Methods: This study was a cross-sectional study, using cluster sampling to select nurses from tertiary hospitals in Liaoning Province from January to May 2024.

Mutant IDH silences GSX2 to reprogram neural progenitor cell fate and promote gliomagenesis.

Isocitrate dehydrogenase ( ) mutations arise early in gliomas and are associated with a defined neurodevelopmental cancer cell hierarchy. However, how mutant IDH contributes to this hierarchy and whether this interaction promotes gliomagenesis remain unclear. We captured the dynamics of IDH-mutant glioma initiation in genetically engineered mice through time-resolved, single-cell genomics.

Assessing the Diagnostic Value of MRI T1rho Mapping in Predicting Molecular Prognostic Biomarkers and Subtypes of Breast Cancer.

Background: Prognostic factors and molecular subtypes are important in treatment planning and predicting response to therapy in breast cancer, and the exploration of noninvasive imaging methods to characterize breast cancer has been ongoing.

Purpose: To evaluate the use of T1rho mapping in predicting the status of prognostic biomarkers and molecular subtypes of breast cancer.

Study Type: Prospective.

Proteomic subtypes enrich current acute myeloid leukemia nomenclature and reflect intrinsic pathogenesis alongside aging.

Acute myeloid leukemia (AML) is a highly heterogeneous hematological malignancy that increasingly affects the elderly population, with its post-transcriptional landscape remaining largely elusive. Establishing a stable proteomics-based classification system and systematically screening age-related proteins and regulatory networks are crucial for understanding the pathogenesis and outcomes of AML. In this study, we leveraged a multi-omics cohort of 374 newly diagnosed AML patients, integrating proteome, phosphoproteome, genome, transcriptome, and drug screening data.

Early stroke diagnosis and evaluation based on pathological voice classification using speech enhancement.

Problem: Stroke usually occurs suddenly. Stroke prehospital screening tools heavily rely on medical knowledge and are subjective. As an essential aspect of stroke assessment, speech analysis provides a non-invasive and convenient approach to early stroke diagnosis (ESD), offering critical support for timely intervention and treatment.

Perioperative evaluation of CT-based body composition as predictors of postoperative outcome following pancreaticoduodenectomy.

Background: Although malnutrition is a concern for incremental morbidity in pancreatic surgery, there has been a lack of consensus on nutritional assessment and body composition suitable for prediction of postoperative complications following pancreaticoduodenectomy (PD). Our study was performed to assess whether perioperative CT-based body composition were predictors of morbidity after PD.

Methods: 231 patients who underwent PD between 2020 and 2024 were enrolled to evaluate perioperative body composition.

BEST: Basic Embedding Search Tool Enhancing Discovery of Novel Enzyme.

The identification of protein homologs in large databases is critical for biological advancements. Traditional methods, such as protein sequence alignment, often miss remote homologs. To address this limitation, we present the Basic Embedding Search Tool (BEST), a fast and sensitive approach that employs protein language models to create sequence embeddings enriched with evolutionary and structural information.

Association of a Healthy Lifestyle with Risk of Parkinson's Disease and Genetic Predisposition.

Background: Parkinson's disease (PD) is the second most common neurodegenerative disease with largely unknown etiology. Evaluating the association between a healthy lifestyle with PD and genetic risk is necessary.

Methods: The study included 438,241 participants from UK Biobank, with lifestyle information collected via baseline questionnaires.

Development of a predictive model for lung metastasis in hepatocellular carcinoma patients: insights from SEER database analysis.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality globally, with lung metastasis significantly impacting patient prognosis. Identifying predictors of lung metastasis is crucial for improving patient outcomes. This study utilizes data from the Surveillance Epidemiology and End Results (SEER) database, focusing on a cohort of 13,441 HCC patients.

Nitrogen metabolism profiling reveals cell state-specific pyrimidine synthesis pathway choice.

Conventional stable isotope tracing assays track one or several metabolites. However, cells use an array of nutrients to sustain nitrogen metabolic pathways. This incongruency hampers a system level understanding of cellular nitrogen metabolism.

CAR Macrophages Engineered In Vivo for Attenuating Myocardial Ischemia-Reperfusion Injury.

Background: Myocardial ischemia-reperfusion (I/R) injury induces myocardial fibrosis that compromises cardiac function and electrical conduction, yet current clinical options remain inadequate. To address this unmet need, we explored macrophage-targeted lipid nanoparticles (LNPs) encapsulating FAP CAR (FAP [fibroblast activation protein]-targeted chimeric antigen receptor) mRNA for in vivo generation of FAP CAR macrophages and evaluated their therapeutic potential in reducing myocardial fibrosis and improving cardiac function after myocardial I/R injury.

Methods: We formulated 1,2-dioleoyl-sn-glycero-3-phospho-l-serine-doping ALC-0315 (an ionizable lipid) LNP to deliver FAP CAR mRNA to generate FAP CAR macrophages.

Baseline characteristics of survivors, primary care clinicians, and oncologists in a randomized trial of a shared care, self-management intervention for cancer survivors.

Purpose: Lung and colorectal cancer (CRC) survivors experience late and long-term treatment effects and challenges with navigating care. Few evidence-based interventions exist to support survivor needs. This paper describes participant recruitment and pre-randomization baseline characteristics and outcomes from a survivorship self-management intervention trial in lung and CRC.

Can the polycentric spatial structure achieve pollution and carbon emission reduction in China's urban agglomerations?

Regional spatial optimization is in favor of alleviating the negative environmental externalities generated during urbanization. Investigating its impact on environmental performance is of great significance for improving the livability level of the region and promoting the green and sustainable development of the region. Based on the nighttime light data from 2006 to 2023, this study conducts the rank-size rule and super-efficiency SBM model to assess the urban agglomeration spatial structure (UASS) and carbon emission efficiency (CEE), exploring the direct and spillover effect of UASS on CEE and pollution (POL), examining whether there is a threshold of them.

Pathway regulation mechanism by cotranslational protein folding.

Existing experimental results indicate potential disparities between cotranslational protein folding in vivo and free folding in vitro, yet the microscopic mechanisms responsible for these differences remain elusive. In this study, we devised a general protein cotranslational folding (GPCTF) simulations framework by modeling the ribosomal exit tunnel and translation process. Utilizing the GPCTF framework, we conducted extensive molecular dynamics simulations on three proteins of varying topologies, generating over 8 milliseconds of total trajectories.

Construction of a sandwich-type DNA biosensor based on functionalized MOF@COF nanomaterials for the detection of NSCLC biomarker ctDNA.

As a key diagnostic biomarker for non-small cell lung cancer (NSCLC), the sensitive detection of circulating tumor DNA (ctDNA) is crucial for early-stage disease detection and monitoring. However, the existing detection methods still have limitations in terms of sensitivity, cost and operational simplicity. In this study, we successfully constructed a novel sandwich-structured electrochemical biosensor based on a methylene blue (MB)-based signal indication system, leveraging the synergistic effects of metal-organic frameworks (MOFs) and covalent organic frameworks (COFs), to realize the efficient quantitative analysis of ctDNA.

Global trends and modifiable risk factors for atopic dermatitis incidence: Insights from GBD 2021.

Background: Global patterns in atopic dermatitis (AD) incidence and their associations with modifiable risk factors remain unclear.

Objective: We sought to analyze global trends in AD incidence and identify associated socioeconomic, environmental, and lifestyle factors contributing to its global disparities and epidemics.

Methods: Data on AD in 204 countries and territories from 1990 to 2021 were extracted from the Global Burden of Diseases Study 2021.