Immunogenicity of differentially glycosylated Marburg virus glycoproteins expressed in mammalian and insect cells.

Marburg virus (MARV) infection can cause severe disease, and there is no available vaccine or therapeutic method. Research into potential vaccine design is focused on the glycoprotein (GP), which mediates the adherence and invasion process of the virus. However, it is unclear whether the degree of GP glycosylation is associated with vaccine efficacy.

Resynchronization of microglial activity in the brain is associated with restoration of motor function in Parkinson's disease.

Neuroinflammation is a key factor in Parkinson's disease (PD) pathogenesis. However, the regional heterogeneity of biomarkers related to inflammation in PD is less well defined. We developed [F]GSK PET imaging to quantify neuroinflammation via the P2X7 receptor (P2X7R) in A53T PD male mice and wild-type (WT) male mice.

TEANet: Automated tooth extraction and arrangement with tooth-level graph spatial transformation network.

Background And Objective: Orthodontic treatment is a process that involves tooth extraction and arrangement achieved via mesh-based analysis and rigid deformation of teeth. The aim is to achieve balanced relationship in physiologic and aesthetic harmony among cranial structures and occlusion. Existing automated treatment planning methods elaborated point cloud for 3D analysis and utilized Graph Convolutional Network (GCN) for feature propagation.

miR-381-3p contribution in mouse spontaneous abortion targeting VEGFA.

Background: Recurrent spontaneous abortion (RSA) affects 1-5% of pregnant women; however, the mechanisms underlying this condition remain unknown. Dysangiogenesis in the placenta is an essential factor in the pathogenesis of RSA. Studies have verified that microRNAs (miRNAs) are vital for RSA; however, their mechanism of action in regulating angiogenesis remains unclear.

An adaptive AI-based virtual reality sports system for adolescents with excess body weight: a randomized controlled trial.

Adolescents with obesity face numerous health risks and encounter barriers that lead to physical inactivity. We developed a virtual reality sports system, named REVERIE (Real-World Exercise and VR-Based Exercise Research in Education), which used deep reinforcement learning to train transformer-based virtual coaching agents, offering immersive and effective sports guidance, with biomechanical performance comparable to real-world physical sports. We integrated REVERIE into a randomized controlled trial involving an 8-week intervention in adolescents with excess body weight (n = 227).

Using radiomics model for predicting extraprostatic extension with PSMA PET/CT studies: a comparative study with the Mehralivand grading system.

Purpose: This study aimed to evaluate the effectiveness of using a radiomics model to predict extraprostatic extension (EPE) in prostate cancer from PSMA PET/CT, and to directly compare its performance with the Mehralivand Grading System, an MRI-based method for EPE assessment.

Methods: A total of 206 patients who underwent radical prostatectomy were included in this study. Radiomics features were extracted from PSMA PET/CT images to construct predictive models using Support Vector Machine (SVM) and Random Forest algorithms.

Bu-zhong-yi-qi decoction regulates JNK/c-JUN signaling pathway to improve skeletal muscle atrophy caused by cancer cachexia.

Ethnopharmacological Relevance: With a prevalence reaching 80 % in terminal cancer patients, cancer cachexia (CC) manifests as irreversible skeletal muscle wasting. Presently, there exists no effective therapeutic strategy for managing cancer cachexia. Traditional Chinese medicine (TCM) contributes significantly to the management of CC, enhancing quality of life and potentially prolonging survival in affected patients.

Development of LaCeOCO solid solution for low-concentration phosphate removal and recovery: manipulating Ce ratio and valence to boost phosphate capture.

The removal and recovery of low-concentration phosphates from water have become crucial due to the dual challenges of eutrophication and the phosphorus crisis. Herein, we engineered a highly efficient and recyclable phosphate trapping agent of LaCeOCO solid solution. The incorporation of Ce enhances the surface area and surface potential of LaCeOCO, providing abundant adsorption sites for phosphate.

Expression patterns, prognostic significance, and immune correlations of the TNFAIP8 family in acute myeloid leukemia: a comprehensive bioinformatics analysis.

Background: Acute myeloid leukemia (AML) is a highly aggressive hematologic malignancy with poor prognosis and high relapse rates. While the TNFAIP8 gene family (TNFAIP8, TNFAIP8L1, TNFAIP8L2, and TNFAIP8L3) is implicated in cancer and immune regulation, its role in AML remains unclear. This study utilized bioinformatics analyses to investigate their expression, prognostic significance, genetic alterations, and immune associations in AML.

Remnant cholesterol inflammatory index and its association with all-cause and cause-specific mortality in middle-aged and elderly populations: evidence from US and Chinese national population surveys.

Background: The remnant cholesterol inflammatory index (RCII) is a novel metric that combines remnant cholesterol and high-sensitivity C-reactive protein, reflecting the metabolic and inflammatory risk. This study investigates the association between RCII and long-term risks of all-cause and cause-specific mortality in middle-aged and elderly populations in the US and China.

Method: We analyzed data from the National Health and Nutrition Examination Survey (NHANES) and the China Health and Retirement Longitudinal Study (CHARLS), including 7,565 and 12,932 participants aged 45 years and older, respectively.

Self-supervised multi-modality learning for multi-label skin lesion classification.

Background: The clinical diagnosis of skin lesions involves the analysis of dermoscopic and clinical modalities. Dermoscopic images provide detailed views of surface structures, while clinical images offer complementary macroscopic information. Clinicians frequently use the seven-point checklist as an auxiliary tool for melanoma diagnosis and identifying lesion attributes.

Economic evaluations of human milk for very preterm infants: a systematic review.

Background: Very preterm infants are highly vulnerable to complications, imposing a significant economic burden on healthcare systems. Human milk has protective effects on these infants, but there is no systematic review on its economic impact.

Objective: We conducted a comprehensive review of studies assessing the economic evaluations of human milk for very preterm infants.

Salvianolic Acid A From Salvia miltiorrhiza Suppresses Endometrial Carcinoma Progression via CD40-AKT-NF-κB Pathway.

We aimed to investigate the effects of Salvianolic acid A (SA), an active ingredient of Salvia miltiorrhiza Bunge, on the proliferation, metastasis and CD40-AKT-NF-κB signalling pathway in endometrial carcinoma (EC). Human EC cell lines (Ishikawa and HEC-1A) were treated with varying concentrations of SA, CD40 soluble ligand (sCD40L) or a combination of both. Cell viability, proliferation, invasion and migration were assessed using MTT, colony formation and transwell assays.

Enhancing Medical Vision-Language Contrastive Learning via Inter-Matching Relation Modeling.

Medical image representations can be learned through medical vision-language contrastive learning (mVLCL) where medical imaging reports are used as weak supervision through image-text alignment. These learned image representations can be transferred to and benefit various downstream medical vision tasks such as disease classification and segmentation. Recent mVLCL methods attempt to align image sub-regions and the report keywords as local-matchings.

Quantitative imaging using [F]F-TZ3108 to assess metabolic-associated fatty liver disease progression and low-carbohydrate diet efficacy.

Objective: The Sigma-1 receptor (Sig-1R), located in the mitochondrion-associated membranes (MAMs), is an important biomarker for endoplasmic reticulum (ER) stress and plays a crucial role in the advancement of metabolic-associated fatty liver disease (MAFLD). Despite its significance, current methods to monitor MAFLD progression and treatment response are limited. This study aims to address this gap by utilizing [F]F-TZ3108, an effecient tracer targeting Sig-1R, to quantitatively assess MAFLD progression and the efficacy of a low-carbohydrate diet (LCD) as a potential therapeutic intervention.

Global trends in the burden of ischemic heart disease attributable to smoking from 1990 to 2021: A systematic analysis of the Global Burden of Disease Study 2021.

Introduction: Ischemic heart disease (IHD) remains a leading cause of death and disability worldwide. This study evaluates the trends in IHD burden attributable to smoking, utilizing Global Burden of Disease Study 2021 (GBD 2021) data, across 204 countries and territories from 1990 to 2021. By examining age-standardized death rates (ASDR) and disability-adjusted life years (ASRDALYs), the study provides insights into the spatiotemporal variations associated with smokingattributable IHD in different sociodemographic regions.

Global trends in the burden of ischemic heart disease based on the global burden of disease study 2021: the role of metabolic risk factors.

Background: Ischemic heart disease (IHD) remains a leading cause of mortality and morbidity globally. This study aims to evaluate the trends in IHD burden across different socioeconomic regions using data from the Global Burden of Disease Study 2021 (GBD 2021) and to understand the impact of the metabolic risk factors on these trends.

Methods: Data from GBD 2021 was analyzed to evaluate the global age-standardized death rates (ASDR) and disability-adjusted life years (ASRDALYs) linked to IHD.

Exploration of key genes and pathways in response to submergence stress in red clover (Trifolium pratense L.) by WGCNA.

Background: Submergence stress is a prevalent abiotic stress affecting plant growth and development and can restrict plant cultivation in areas prone to flooding. Research on plant submergence stress tolerance has been essential in managing plant production under excessive rainfall. Red clover (Trifolium pratense L.

A Novel Scale for Diagnosis of Pulmonary Ground-Glass Nodules: A Multicenter and Ambispective Cohort Study.

Background: A screening tool was devised to aid the diagnosis and treatment of ground-glass nodules (GGNs).

Methods: The current ambispective cohort study included retrospective collation of 20 variables synthesizing a patient's clinical characteristics, serum tumor markers, and CT results, which allowed division into noninvasive (benign, atypical adenomatous hyperplasia, and adenocarcinoma in situ) and invasive (minimally invasive and invasive adenocarcinomas) tumors to build a prediction nomogram and GGN screening scale. The model was verified internally.

Britannin inhibits hepatocellular carcinoma development and metastasis through the GSK-3β/β-catenin signaling pathway.

Background: Hepatocellular carcinoma (HCC) stands out as a significant contributor to cancer-related death. Traditional Chinese Medicine (TCM) offers several advantages in the treatment of HCC. Britannin, a pivotal compound in Inulae Flos, has demonstrated pharmacological effects against various cancers, yet research on its specific anti-HCC effects remains limited.

The interaction between UBR7 and PRMT5 drives PDAC resistance to gemcitabine by regulating glycolysis and immune microenvironment.

Pancreatic ductal adenocarcinoma (PDAC) is a common malignant tumor of the digestive tract. Although gemcitabine and other therapeutic agents are effective in patients with advanced and metastatic pancreatic cancer, drug resistance has severely limited their use. However, the mechanisms of gemcitabine resistance in pancreatic cancer are poorly understood.

Adaptive segmentation-to-survival learning for survival prediction from multi-modality medical images.

Early survival prediction is vital for the clinical management of cancer patients, as tumors can be better controlled with personalized treatment planning. Traditional survival prediction methods are based on radiomics feature engineering and/or clinical indicators (e.g.