PbsNRs: predict the potential binders and scaffolds for nuclear receptors.

Nuclear receptors (NRs) are a class of essential proteins that regulate the expression of specific genes and are associated with multiple diseases. In silico methods for prescreening potential NR binders with predictive binding ability are highly desired for NR-related drug development but are rarely reported. Here, we present the PbsNRs (Predicting binders and scaffolds for Nuclear Receptors), a user-friendly web server designed to predict the potential NR binders and scaffolds through proteochemometric modeling.

Comparing the Effectiveness of Single Exercises on Improving Exercise Capacity in Chronic Obstructive Pulmonary Disease Patients: Network Meta-Analysis of Randomized Controlled Trials.

Background: Chronic Obstructive Pulmonary Disease (COPD) is a common respiratory disease that significantly impairs the quality of life of patients. Single exercises can help COPD patients focus on enhancing specific physical abilities, and enable a more precise analysis of the specific effects of single exercises on improving exercise capacity in COPD patients.

Objectives: To evaluate the effectiveness of single exercises in improving the exercise capacity of COPD patients and to conduct an indirect comparison to identify the most efficacious intervention.

Dried Apricot Polyphenols Suppress the Growth of A549 Human Lung Adenocarcinoma Cells by Inducing Apoptosis via a Mitochondrial-Dependent Pathway.

Dried apricots are rich in a variety of polyphenols, which have anti-cancer activity. In this study, 949 phenolic substances were found by means of UPLC-MS/MS, mainly including 2',7-dihydroxy-3',4'-dimethoxyisoflavan, scopoletin, rutin, quercetin-3-O-robinobioside, and elaidolinolenic acid. The results indicated that dried apricot polyphenols (DAPs) could cause cell cycle arrest in the G0/G1 and G2/M phases by decreasing the cyclin D1, CDK4, cyclin B1, CDK1, and CDK6 levels in A549 human lung adenocarcinoma cells.

Ameliorative Effects of Raisin Polyphenol Extract on Oxidative Stress and Aging In Vitro and In Vivo via Regulation of Sirt1-Nrf2 Signaling Pathway.

Raisins are an important source of polyphenolic compounds in plant foods, and polyphenols are associated with antioxidant and anti-aging activity. In this work, 628 polyphenols in raisin extracts were characterized using UPLC-MS/MS, mainly including tricetin 3'-glucuronide, diisobutyl phthalate, butyl isobutyl phthalate, isoquercitrin and 6-hydroxykaempferol-7-O-glucoside. The oxidative stress in HO-induced HepG2 cells and D-gal-induced aging mice was alleviated by raisin polyphenols (RPs) via increases in the cellular levels of superoxide dismutase (SOD), catalase (CAT) and glutathione (GSH), along with decreases in malonaldehyde (MDA), reactive oxygen species (ROS) and advanced glycosylation end-products (AGEs) levels.

Calcium and Magnesium Regulation of Kernel Sugar Content in Maize: Role of Endogenous Hormones and Antioxidant Enzymes.

Ca and Mg are essential micronutrients for plant growth, and they play a crucial role in plant development and responses to adversity by influencing the activities of endogenous hormones and antioxidant enzymes. However, the specific mechanisms through which calcium (Ca) and magnesium (Mg) regulate the kernel sugar content through endogenous hormones and antioxidant enzymes remain unclear. In this study, we analyzed the impact of Ca and Mg on the physiology of maize leaves and kernel quality by determining the activities of antioxidant enzymes and endogenous hormones, and the kernel sugar content in maize leaves when supplemented with different levels of Ca and Mg.

Genome-Wide Association Analysis of Boar Semen Traits Based on Computer-Assisted Semen Analysis and Flow Cytometry.

Semen quality and persistence are critical for evaluating the usability of individual boars in AI, a standard practice in pig breeding. We conducted GWASs on various semen traits of Duroc boars, including MOT, DEN, ABN, MMP, AIR, and ROS levels. These traits were assessed using FCM and CASA.

Clinical Practice Guidelines for Topical NSAIDs in the Treatment of Sports Injuries.

Topical nonsteroidal anti-inflammatory drugs (NSAIDs) are commonly used to treat sports injuries, but evidence-based medical guidance for their standardized and rational use is lacking. This guideline working group identified clinically important issues, obtained the full opinions of patients and clinical staff, and discussed them with the expert group. Based on evidence from the literature, the "clinical practice guidelines for topical NSAIDs in the treatment of sports injuries" were formulated following the methods and principles of international guidelines.

Construction and biological function of gene knockout strain.

Objectives: Toxoplasmosis is a zoonotic parasitic disease caused by (), which can lead to complications such as encephalitis and ocular toxoplasmosis. The disease becomes more severe when the host's immune system is compromised. Rhoptry proteins are major virulence factors that enable to invade host cells.

Childhood obesity and central precocious puberty.

Central precocious puberty (CPP) is an endocrine disorder in children caused by the early activation of the hypothalamic-pituitary-gonadal axis (HPGA), leading to elevated gonadotropin-releasing hormone (GnRH), which triggers the development of gonads and the secretion of sex hormones. This eventually results in the development of internal and external genitalia and secondary sexual characteristics. CPP significantly affects the physical and mental health of children and may increase the risk of various adult diseases.

Occurrences of heavy metal in breast milk in China: Results of the third national breast milk survey.

To investigate the exposure of infants to heavy metal during lactation, breast milk from 24 provinces in China were detected. Among As, Cd, Cr, Hg, and Pb, the detection frequencies of As (85 %, 0.50 μg/L) and Cd (91 %, 0.

Exploring genetic mapping and co-expression patterns to illuminate significance of Tbx20 in cardiac biology.

The transcription factor Tbx20 is integral to heart development and plays a significant role in various cardiac diseases. Despite its established importance, the regulatory mechanisms and functional significance of Tbx20 remain incompletely understood. To elucidate these mechanisms, we initially conducted eQTL mapping to identify genetic loci associated with Tbx20 expression in heart tissue from BXD mice.

Genomic determinants of biological age estimated by deep learning applied to retinal images.

With the development of deep learning (DL) techniques, there has been a successful application of this approach to determine biological age from latent information contained in retinal images. Retinal age gap (RAG) defined as the difference between chronological age and predicted retinal age has been established previously to predict the age-related disease. In this study, we performed discovery genome-wide association analysis (GWAS) on the RAG using the 31,271 UK Biobank participants and replicated our findings in 8034 GoDARTS participants.

Reconstructing Waddington Landscape from Cell Migration and Proliferation.

The Waddington landscape was initially proposed to depict cell differentiation, and has been extended to explain phenomena such as reprogramming. The landscape serves as a concrete representation of cellular differentiation potential, yet the precise representation of this potential remains an unsolved problem, posing significant challenges to reconstructing the Waddington landscape. The characterization of cellular differentiation potential relies on transcriptomic signatures of known markers typically.

Research on Parameter Compensation Method and Control Strategy of Mobile Robot Dynamics Model Based on Digital Twin.

Inspection robots, which improve hazard identification and enhance safety management, play a vital role in the examination of high-risk environments in many fields, such as power distribution, petrochemical, and new energy battery factories. Currently, the position precision of the robots is a major barrier to their broad application. Exact kinematic model and control system of the robots is required to improve their location accuracy during movement on the unstructured surfaces.

Residual Stress Analysis at the Conductor-Insulator Interface During the Curing Process of Hair-Pin Motors.

The curing process of hair-pin motor stator insulation is critical, as residual stress increases the risk of partial discharge and shortens a motor's lifespan. However, studies on the stress-induced defects during insulation varnish curing remain limited. This research integrates three-dimensional numerical simulations and experimental analysis to develop a curing model based on unsaturated polyester imide resin, aiming to explore the mechanisms of residual stress formation and optimization strategies.

Unraveling the Anthocyanin Regulatory Mechanisms of White Mutation in by Integrative Transcriptome and Metabolome Analysis.

: is a perennial herb of the Verbenaceae family, known for its medicinal properties, wide adaptability, and high resistance. : This research investigated the metabolic pathways of flower color change by combining transcriptome and metabolomics analyses. : In purple flowers and white variants, a total of 118 differentially accumulated metabolites (DAMs), including 20 anthocyanins, and 7627 differentially expressed genes (DEGs) were found.

Designing a 2D van der Waals oxide with lone-pair electrons as chemical scissor.

Two-dimensional (2D) van der Waals (vdW) materials are known for their intriguing physical properties, but their rational design and synthesis remain a great challenge for chemists. In this work, we successfully synthesized a new non-centrosymmetric oxide, i.e.

Identifying cell-type-specific spatially variable genes with ctSVG.

Spatially variable genes (SVGs) reveal the molecular and functional heterogeneity of cells across different spatial regions of a tissue. We found that sample-wide SVGs, identified by previous methods across the whole sample, largely overlap with cell-type marker genes derived from single-cell gene expression, leaving the spatial location information largely underutilized. We developed ctSVG, a computational method specifically tailored for Visium HD spatial transcriptomics at single-cell resolution.

Ramulus Mori (Sangzhi) alkaloids ameliorate high-fat diet induced obesity in rats by modulating gut microbiota and bile acid metabolism.

Objective: The objective of this study is to investigate the ability of Ramulus Mori (Sangzhi) alkaloid tablets (SZ-A) to ameliorate obesity and lipid metabolism disorders in rats subjected to a high-fat diet (HFD) through metagenomics, untargeted lipidomics, targeted metabolism of bile acid (BA), and BA pathways, providing a novel perspective on the management of metabolic disorders.

Methods: In this research, HFD-fed rats were concurrently administered SZ-A orally. We measured changes in body weight (BW), blood lipid profiles, and liver function to assess therapeutic effects.

Towards simplified graph neural networks for identifying cancer driver genes in heterophilic networks.

The identification of cancer driver genes is crucial for understanding the complex processes involved in cancer development, progression, and therapeutic strategies. Multi-omics data and biological networks provided by numerous databases enable the application of graph deep learning techniques that incorporate network structures into the deep learning framework. However, most existing methods do not account for the heterophily in the biological networks, which hinders the improvement of model performance.

ComNet: A Multiview Deep Learning Model for Predicting Drug Combination Side Effects.

As combination therapy becomes more common in clinical applications, predicting adverse effects of combination medications is a challenging task. However, there are three limitations of the existing prediction models. First, they rely on a single view of the drug and cannot fully utilize multiview information, resulting in limited performance when capturing complex structures.

MYSM1 attenuates osteoarthritis by recruiting PP2A to deubiquitinate and dephosphorylate RIPK2.

Osteoarthritis (OA), the most prevalent degenerative joint disease, is marked by cartilage degradation and pathological alterations in surrounding tissues. Currently, no effective disease-modifying treatments exist. This study aimed to elucidate the critical roles of Myb-like, SWIRM, and MPN domains 1 (MYSM1) and its downstream effector, Receptor-interacting protein kinase 2 (RIPK2), in OA pathogenesis and the underlying mechanisms.

Sequential delivery of IL-10 and icariin using nanoparticle/hydrogel hybrid system for prompting bone defect repair.

The treatment of large bone defects remains challenging due to the lack of spatiotemporal management of the immune microenvironment, inflammation response and bone remodeling. To address these issues, we designed and developed a nanoparticle/hydrogel hybrid system that can achieve the combined and sequential delivery of an anti-inflammatory factor (IL-10) and osteogenic drug (icariin, ICA). A photopolymerizable composite hydrogel was prepared by combining gelatin methacryloyl (GelMA) and heparin-based acrylated hyaluronic acid (HA) hydrogels containing IL-10, and poly(dl-lactide-co-glycolide) (PLGA)-HA nanoparticles loaded with ICA were incorporated into the composite hydrogels.

An AI dose-influence matrix engine for robust pencil beam scanning protons therapy.

Background: Rapid planning is of tremendous value in proton pencil beam scanning (PBS) therapy in overcoming range uncertainty. However, the dose calculation of the dose influence matrix (D) in robust PBS plan optimization is time-consuming and requires substantial acceleration to enhance efficiency.

Purpose: To accelerate the D calculations in PBS therapy, we developed an AI-D engine integrated into our in-house treatment planning system (TPS).