Identification biomarkers and therapeutic targets of disulfidptosis-related in rheumatoid arthritis via bioinformatics, molecular dynamics simulation, and experimental validation.

The relationship between disulfidptosis and rheumatoid arthritis (RA) remains unclear. We aimed to identified biomarkers disulfidptosis-related in RA and revealed potential targeted drugs. Two microarray datasets (GSE93272, GSE45291) related to RA were downloaded from the Gene Expression Omnibus (GEO) database.

Hy-DeFake: Hypergraph neural networks for detecting fake news in online social networks.

Nowadays social media is the primary platform for people to obtain news and share information. Combating online fake news has become an urgent task to reduce the damage it causes to society. Existing methods typically improve their fake news detection performances by utilizing textual auxiliary information (such as relevant retweets and comments) or simple structural information (i.

CiRLExplainer: Causality-Inspired Explainer for Graph Neural Networks via Reinforcement Learning.

In this article, we propose a new graph neural network (GNN) explainability model, CiRLExplainer, which elucidates GNN predictions from a causal attribution perspective. Initially, a causal graph is constructed to analyze the causal relationships between the graph structure and GNN predicted values, identifying node attributes as confounding factors between the two. Subsequently, a backdoor adjustment strategy is employed to circumvent these confounders.

Daily Treatment Monitoring for Patients Receiving Home-Based Peritoneal Dialysis and Prediction of Heart Failure Risk: mHealth Tool Development and Modeling Study.

Background: Peritoneal dialysis is one of the major renal replacement modalities for patients with end-stage renal disease. Heart failure is a common adverse event among patients who undergo peritoneal dialysis treatment, especially for those who undergo continuous ambulatory peritoneal dialysis at home, because of the lack of professional input-output volume monitoring and management during treatment.

Objective: This study aims to develop novel mobile health (mHealth) tools to improve the quality of home-based continuous ambulatory peritoneal dialysis treatment and to build a prediction model of heart failure based on the system's daily treatment monitoring data.

Machine Learning Prediction of Financial Toxicity in Patients with Resected Lung Cancer.

Backgrounds: Financial toxicity (FT) refers to the financial stress and detrimental impact on quality of life experienced by patients due to treatment costs. In patients with resected lung cancer (LC), we sought to identify those at risk of developing moderate or severe ("major") FT using machine learning (ML) techniques based on preoperative characteristics.

Study Design: Patients who underwent LC resection at a single center between January 2016 and December 2021 were surveyed to ascertain demographic information, financial data, and presence of major FT.

The causal relationship between hallux valgus and endogenous pathogenic factors: A 2-sample Mendelian randomization.

Notably, several factors are associated with hallux valgus (HV); however, their causal relationship remains unclear. In this study, a 2-sample Mendelian randomization (MR) analysis was performed to investigate the casual relationship between 9 endogenous risk factors and HV, aiming to provide a foundation for the clinical management of HV. Exposure factors such as body mass index (BMI), BMI (male), BMI (female), acquired flatfoot, rheumatoid arthritis, gout, knee osteoarthritis, hip osteoarthritis, and Ehlers-Danlos syndrome were considered, with HV as the outcome.

DLAT activates EMT to promote HCC metastasis by regulating GLUT1-mediated aerobic glycolysis.

Background: Metabolic reprogramming is a hallmark of hepatocellular carcinoma (HCC) progression, driving aberrant cellular processes in response to pathological stimuli. While dihydrolipoyl transacetylase (DLAT) has been implicated in the development of various cancers, its specific role and underlying mechanisms in HCC remain unclear. This study aimed to investigate the expression, function, and mechanistic impact of DLAT in HCC.

Sodium hyaluronate and acupotomy bone decompression alleviates inflammatory responses in patients with knee osteoarthritis.

Objective: Knee osteoarthritis (KOA), predominantly affecting middle-aged and elderly populations, induces localized joint pain and functional impairment. It was to evaluate the effectiveness of acupotomy bone decompression (ABD) combined with sodium hyaluronate (SH) intra-articular injection on inflammatory responses in treating KOA.

Methods: Clinical data from 128 patients with KOA were retrospectively collected, categorized into SH group (n = 55) and ABD + SH group (n = 73).

Phase transition, structural stability and electrical properties of V or Mn doped ZnSe composites under high pressure.

The structural parameters and enthalpies of pure ZnSe and different concentrations of V/Mn:ZnSe at high pressures were calculated using the first principles calculation method based on density functional theory. The lattice constants and bond lengths of all the systems decrease under pressure, and the respective phase transition pressures are obtained from the enthalpy-pressure relationship curves, which show that V/Mn elemental doping reduces the phase transition pressure of ZnSe, and the phase transition pressure further decreases with the increase of the doping concentration. The doping formation energies and the elastic constant criterion at atmospheric and high pressures confirm the structural stability of all the systems within the pressures of this study, and the pugh ratio confirms that they are all ductile structures.

Anti-HSV-1 agents: an update.

Herpes simplex virus type I (HSV-1) is a member of the α-herpesvirus subfamily and is capable of causing herpes simplex keratitis, herpes labialis, and herpes simplex encephalitis. HSV-1 is well known for its lytic infections at the primary sites and for establishing latency in the sensory neuronal ganglia, with occasional recurrent infections. To date, there are no approved commercially available vaccines, and anti-HSV-1 drugs such as specific or non-specific nucleotide (nucleoside) analogs and helicase-primase inhibitors have become the main clinical agents for the treatment of HSV-1 infections despite challenges from resistance.

Novel Organophosphate Ester Tris(2,4-di--butylphenyl)phosphate Alters Lipid Metabolism: Insights from Lipidomic Analysis and mRNA Expression.

Tris(2,4-di--butylphenyl)phosphate (TDTBPP), a novel organophosphate ester (OPE), has been extensively detected in various environmental and biological samples; however, its potential biological effects remain unexplored. In this study, we investigated biotransformation characteristics, alteration of lipid metabolism, and mRNA expression in primary mouse hepatocytes (PMHs) following exposure to TDTBPP. After 36-h exposure in PMHs, TDTBPP exhibited a high stability potential with no statistically significant degradation trend.

Unraveling the impact of tempeh fermentation on protein nutrients: An in vitro proteomics and peptidomics approach.

Understanding how fermentation enhances the nutritional characteristics of legumes is essential for maximizing their potential as sustainable protein sources. This study investigates proteomics differences between soybeans and tempeh, a fermented soy product, aiming to elucidate the mechanisms that contribute to the differences in protein nutrients. Deep proteomics analysis of commercial soybean and tempeh suggests that Rhizopus fermentation promotes proteolysis, particularly targeting Asn and Phe, and thus increased neopeptide generation in tempeh samples.

The transactional theory of stress and coping as a stress management model for students in Hispanic-serving universities.

Introduction: Stress is especially profound among minority college students who experience magnified levels of prejudice and discrimination. High levels of stress significantly impact their academic performance, and health.

Objective: The present study aimed to examine the constructs of Lazarus and Folkman's transactional theory of stress and coping for stress management in college students from a Hispanic-Serving Institution.

Shifting Trend of Protein Consumption in Southeast Asia: Toward Health, Innovation, and Sustainability.

Complementing discourse following a February 2023 event on dietary protein needs in Southeast Asia (SEA), this symposium report summarizes the region's protein intake, while simultaneously examining the impact of dietary shift toward complementary and alternative proteins and their health implications. It highlights the importance of protein quality in dietary evaluations, optimal intake, and sustainability, advocating for environmentally conscious protein production and innovation in future foods. Discussion points, expert opinions, national nutrition data, and relevant literature, addressing protein intake and quality, their impact on human health, and various technologies for future foods production, have been included.

SSIM over MSE: A new perspective for video anomaly detection.

Video anomaly detection plays a crucial role in ensuring public safety. Its goal is to detect abnormal patterns contained in video frames. Most existing models distinguish the anomalies based on the Mean Squared Error (MSE), which is hard to align with human perception, resulting in discrepancies between model-detected anomalies and those recognized by humans.

Mutant Pattern of p53 as a Feasible Predictor of Distant Metastasis Following Curative Gastrectomy for Advanced-stage Gastric Cancer.

The TP53 mutation is a poor prognostic factor for malignant tumors in a number of organs. The present study primarily aimed to clarify the impact of the mutant pattern of p53 on the prognosis and recurrence of gastric cancer. : For this purpose, 519 patients who underwent radical gastrectomy for cancer were enrolled in the present study.

Perceived discrimination as a predictor of cyberbullying: the mediating role of self-esteem and moderating role of self-compassion.

With the popularity of the internet, cyberbullying has emerged as an increasingly serious social issue, particularly affecting college students' behavioral health. This study explores the relationship between perceived discrimination and cyberbullying, as well as the mediating role of self-esteem and the moderating role of self-compassion (SC) in this relationship. Using a longitudinal design, data were collected from 892 Chinese college students (414 females, 478 males) in two waves spanning 1 year.

Unified Knowledge-Guided Molecular Graph Encoder with multimodal fusion and multi-task learning.

The remarkable success of Graph Neural Networks underscores their formidable capacity to assimilate multimodal inputs, markedly enhancing performance across a broad spectrum of domains. In the context of molecular modeling, considerable efforts have been made to enrich molecular representations by integrating data from diverse aspects. Nevertheless, current methodologies frequently compartmentalize geometric and semantic components, resulting in a fragmented approach that impairs the holistic integration of molecular attributes.

Mechanistic insights into carbonate radical-driven reactions: Selectivity and the hydrogen atom abstraction route.

Carbonate radical (CO) is inevitably produced in advanced oxidation processes (AOPs) when addressing real-world aqueous environments, yet it often goes unnoticed due to its relatively lower reactivity. In this study, we emphasized the pivotal role of CO in targeting the elimination of contaminants by contrasting it with conventional reactive oxygen species (ROSs) and assessing the removal of sulfamethazine (SMT). Similar to singlet oxygen (O), CO shows a preference for electron-rich organic compounds.

Computational evaluation of interactive dynamics for a full transcatheter aortic valve device in a patient-specific aortic root.

Transcatheter aortic valve implantation (TAVI) has become a key treatment for severe aortic stenosis, especially for patients unsuitable for surgery. Since its introduction in 2002, TAVI has advanced significantly due to improvements in imaging, operator skills, and device engineering. Despite these innovations, challenges in device sizing and positioning remain, complicating outcome predictions.

PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction.

Traffic flow prediction is the foundation of intelligent traffic management systems. Current methods prioritize the development of intricate models to capture spatio-temporal correlations, yet they often neglect the exploitation of latent features within traffic flow. Firstly, the correlation among different road nodes exhibits dynamism rather than remaining static.

FASNet: Feature alignment-based method with digital pathology images in assisted diagnosis medical system.

Many important information in medical research and clinical diagnosis are obtained from medical images. Among them, digital pathology images can provide detailed tissue structure and cellular information, which has become the gold standard for clinical tumor diagnosis. With the development of neural networks, computer-aided diagnosis presents the identification results of various cell nuclei to doctors, which facilitates the identification of cancerous regions.

Comparative proteomic analysis between tumor tissues and intratumoral exosomes from lung adenocarcinoma patients identifies PAFAH1B3 as an exosomal protein key for initiating metastasis in lung adenocarcinoma.

Mounting evidence strongly indicates that exosomes are pivotal in the advancement of cancer, yet the overarching profile of exosomal proteins and their contribution to lung adenocarcinoma (LUAD) progression remain underexplored. In our investigation, we isolated exosomes from treatment-naive LUAD (n = 20) and paired normal adjacent tissues (NATs), and conducted integrated proteomic on the acquired exosomes and source tissues to ascertain origin characteristics and potential therapeutic targets of the exosomal proteins in LUAD. The omics data revealed the overall landscape of exosomal proteins from tissues in LUAD, underscoring the profound linkage between exosomal proteins and tumor metastasis.