METTL3/YTHDF1-mediated mA modification stabilizes USP12 to deubiquitinate FOXO3 and promote apoptosis in sepsis-induced myocardial dysfunction.

Sepsis-induced myocardial dysfunction (SIMD) is a life-threatening complication primarily driven by inflammation, yet its molecular mechanisms remain unclear. In this study, we identified significant upregulation of the mA methyltransferase METTL3 (methyltransferase-like 3), the mA reader protein YTHDF1 (YTH N6-methyladenosine RNA binding protein 1), as well as increased expression levels of USP12 (ubiquitin-specific peptidase 12), FOXO3 (forkhead box O3), and key molecules in the intrinsic apoptotic pathway, PUMA (p53 upregulated modulator of apoptosis) and BAX (Bcl-2-associated X), through proteomic profiling in an LPS (Lipopolysaccharide)-induced SIMD mouse model. In vitro and in vivo experiments demonstrated that METTL3 and YTHDF1 regulated USP12 mRNA expression and stability through mA modification.

Synaptic Structure and Transcriptomic Profiling of Reward and Sensory Brain Areas in Male Mice of Fentanyl Addiction.

Background: Opioid-based medications are powerful analgesics commonly prescribed for pain management, but they are also highly addictive. The over-prescription of opioids analgesics has triggered current opioid crisis, which now has expanded to heroin and illicit synthetic opioids like fentanyl and its analogues. The side effects of fentanyl abuse have been well recognized, yet the underlying molecular adaptations across brain regions upon fentanyl exposure remain elusive.

A Psychometric Development and Evaluation of the Flow State Scale for Caregiving Tasks Among Clinical Nurses.

Background: The extensive research already conducted in numerous non-healthcare disciplines has consistently demonstrated the effectiveness of flow in alleviating work-related stress and boosting employee engagement in the workplace. Despite the potential benefits to nursing of improving flow, no valid instrument is currently available to measure the work-related flow experience of clinical nurses.

Purpose: This study was designed to develop the Flow State Scale for Caregiving Tasks (FSS-CT) and to evaluate its psychometric properties in the context of clinical nurses.

AI-MARRVEL - A Knowledge-Driven AI System for Diagnosing Mendelian Disorders.

Background: Diagnosing genetic disorders requires extensive manual curation and interpretation of candidate variants, a labor-intensive task even for trained geneticists. Although artificial intelligence (AI) shows promise in aiding these diagnoses, existing AI tools have only achieved moderate success for primary diagnosis.

Methods: AI-MARRVEL (AIM) uses a random-forest machine-learning classifier trained on over 3.

On-site monitoring of nandrolone in cattle farming samples by portable atmospheric pressure chemical ionization mass spectrometry with ambient sampling.

Nandrolone (NT) is a type of androgen anabolic steroid that is often illegally used in cattle farming, leading to unpredictable harm to human health via the food chain. In this study, a rapid detection method for NT in the samples of cattle farming was established using a portable mass spectrometer. The instrument parameters were optimized, including a thermal desorption temperature of 220 °C, a pump speed of 30 %, an APCI ionization voltage of 3900 v, and an injection volume of 6 μL.

Synthesis of 2,2-difluoro-1,3-diketone and 2,2-difluoro-1,3-ketoester derivatives using fluorine gas.

Solutions of 1,3-diketones and 1,3-ketoester derivatives react with fluorine to give the corresponding 2,2-difluoro-1,3-dicarbonyl derivatives in the presence of quinuclidine. Quinuclidine reacts with fluorine in situ to generate a fluoride ion that facilitates limiting enolization processes, and an electrophilic N-F fluorinating agent that is reactive towards neutral enol species.

Quantification and visualization of -regulatory dynamics in single-cell multi-omics data with TREASMO.

Recent advances in single-cell multi-omics technologies have provided unprecedented insights into regulatory processes. We introduce TREASMO, a versatile Python package designed to quantify and visualize transcriptional regulatory dynamics in single-cell multi-omics datasets. TREASMO has four modules, spanning data preparation, correlation quantification, downstream analysis and visualization, enabling comprehensive dataset exploration.

BuN[Ag(CF)]: Trifluoromethylated Argentate Derived from Fluoroform and Its Reaction with (Hetero)Aryl Diazonium Salts.

The preparation of a well-defined trifluoromethylated argentate BuN[Ag(CF)] from fluoroform was described. The complex was stable in the solid state and in solution under an inert atmosphere. Treatment of a variety of (hetero)aryl diazonium tetrafluoroborates with BuN[Ag(CF)] generated trifluoromethylated (hetero)arenes in good to excellent yields.

Unravelling spatial gene associations with SEAGAL: a Python package for spatial transcriptomics data analysis and visualization.

Summary: In the era where transcriptome profiling moves toward single-cell and spatial resolutions, the traditional co-expression analysis lacks the power to fully utilize such rich information to unravel spatial gene associations. Here, we present a Python package called Spatial Enrichment Analysis of Gene Associations using L-index (SEAGAL) to detect and visualize spatial gene correlations at both single-gene and gene-set levels. Our package takes spatial transcriptomics datasets with gene expression and the aligned spatial coordinates as input.

Constructing interface engineering and tailoring a nanoflower-like FeP/CoP heterostructure for enhanced oxygen evolution reaction.

The inexpensive and highly efficient electrocatalysts toward oxygen evolution reaction (OER) in water splitting electrolysis have displayed promising practical applications to relieve energy crisis. Herein, we prepared a high-yield and structurally regulated bimetallic cobalt-iron phosphide electrocatalyst by a facile one-pot hydrothermal reaction and subsequent low-temperature phosphating treatment. The tailoring of nanoscale morphology was achieved by varying the input ratio and phosphating temperature.

From Diabetes to Diabetic Complications: Role of Autophagy.

Diabetes and its complications reduce quality of life and are life-limiting. At present, diabetes treatment consists of hypoglycemic agents to control blood glucose and the use of insulin-sensitizing drugs to overcome insulin resistance. In diabetes, autophagy is impaired and thus there is poor intracellular environment homeostasis.

Automatic Classification of Mass Shape and Margin on Mammography with Artificial Intelligence: Deep CNN Versus Radiomics.

The purpose of this study is to test the feasibility for deep CNN-based artificial intelligence methods for automatic classification of the mass margin and shape, while radiomic feature-based machine learning methods were also implemented in this study as baseline and for comparison study. In this retrospective study, 596 patients with breast mass that underwent mammography from 4 hospitals were enrolled from January 2012 to October 2019. Margin and shape of each mass were annotated according to BI-RADS by 2 experienced radiologists.

Clinical application of Mycobacterium RT-PCR assay using various specimens for the rapid detection of lymph node tuberculosis: A diagnostic accuracy study.

To evaluate the diagnostic accuracy of the Capital Bio Mycobacterium real-time polymerase chain reaction assay Capital Bio assay for lymph node (LN) tuberculosis (LNTB), and to further compare the effect of different types of LN specimens on the detection capability of the test. We retrospectively analyzed the medical records of LNTB patients who met the inclusion criteria. The sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve of Capital Bio assay were calculated to evaluate its diagnostic accuracy compared with the final clinical diagnosis as reference standard.

Unraveling Spatial Gene Associations with SEAGAL: a Python Package for Spatial Transcriptomics Data Analysis and Visualization.

Summary: In the era where transcriptome profiling moves towards single-cell and spatial resolutions, the traditional co-expression analysis lacks the power to fully utilize such rich information to unravel spatial gene associations. Here we present a Python package called Spatial Enrichment Analysis of Gene Associations using L-index (SEAGAL) to detect and visualize spatial gene correlations at both single-gene and gene-set levels. Our package takes spatial transcriptomics data sets with gene expression and the aligned spatial coordinates as input.

scGREAT: Graph-based regulatory element analysis tool for single-cell multi-omics data.

Motivation: With the development in single-cell multi-omics sequencing technology and data integration algorithms, we have entered the single-cell multi-omics era. Current multi-omics analysis algorithms failed to systematically dissect the heterogeneity within the datasets when inferring cis-regulatory events. Thus, there is a need for cis-regulatory element inferring algorithms that considers the cellular heterogeneity.

Study on the treatment of postmenopausal osteoporosis with quercetin in Liuwei Dihuang Pill based on network pharmacology.

Background: Liuwei Dihuang Pill (LP) was verified to alleviate postmenopausal osteoporosis (PMOP) development. Nevertheless, the major constituent of LP and the related network pharmacology study remain unexplored.

Methods: Protein-protein interaction was established to identify the downstream target of LP in PMOP, and the related signaling pathway was investigated by bioinformatics analysis.

Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss.

Background: Single-cell omics technology is rapidly developing to measure the epigenome, genome, and transcriptome across a range of cell types. However, it is still challenging to integrate omics data from different modalities. Here, we propose a variation of the Siamese neural network framework called MinNet, which is trained to integrate multi-omics data on the single-cell resolution by using graph-based contrastive loss.

Region-specific denoising identifies spatial co-expression patterns and intra-tissue heterogeneity in spatially resolved transcriptomics data.

Spatially resolved transcriptomics is a relatively new technique that maps transcriptional information within a tissue. Analysis of these datasets is challenging because gene expression values are highly sparse due to dropout events, and there is a lack of tools to facilitate in silico detection and annotation of regions based on their molecular content. Therefore, we develop a computational tool for detecting molecular regions and region-based Missing value Imputation for Spatially Transcriptomics (MIST).

Nodakenin attenuates cartilage degradation and inflammatory responses in a mice model of knee osteoarthritis by regulating mitochondrial Drp1/ROS/NLRP3 axis.

Osteoarthritis (OA) is a common degenerative disease with few treatments. In traditional Chinese medicine (TCM), Radix Angelicae biseratae (RAB) is commonly used to treat OA. Nodakenin (Nod) is one main coumarin active component in RAB and exhibits anti-inflammatory, anti-oxidative, and anti-apoptotic effects.

Endoscopic-Assisted Trans-Lateral Ventricular Transchoroidal Fissure Trans-Aqueductal Approach for Evacuation of Severe Intraventricular Hemorrhage.

Background: Intraventricular hemorrhage (IVH) is one of the most fatal types of intracerebral hemorrhage (ICH), especially when the third and the fourth ventricles are involved. The use of external ventricular drainage is limited for evacuation of hemorrhage in the lateral ventricles. Endoscopic surgery can provide visualized evacuation of the hemorrhage in the lateral and third ventricles.

Planar Tetraindolodipleiadiene via Zirconium-Promoted Intramolecular Indolyl C4-H Homocoupling.

A novel N-rimmed PAH molecule containing a dipleiadiene core () was designed and synthesized from indole, wherein a ZrCl-promoted intramolecular C4-H homocoupling reaction of the indole moieties was the key approach. exhibited a nearly full planar structure and antiaromaticity of the two embedded heptagonal rings. The extremely stable radical cation ·PF was isolated quantitatively by oxidation with AgPF.

Thioether-Assisted Cu-Catalyzed C5-H Arylation of Imidazo[1,5-]pyridines.

A Cu-catalyzed regioselective C5-H arylation of imidazo[1,5-]pyridines with aryl iodides was achieved with the assistance of an ethylthio group at the C3 position. This directing group could be easily removed to furnish a range of 5-(hetero)arylimidazo[1,5-]pyridine derivatives. The reaction tolerates a variety of functionalities and is compatible with sterically hindered substrates.