T-2 Toxin Exploits Gut-Derived Staphylococcus Saprophyticus to Disrupt Hepatic Macrophage Homeostasis.

T-2 toxin, a mycotoxin that frequently causes hidden contamination in food and animal feed, poses a substantial threat to both human and animal health. Staphylococcus saprophyticus (S. saprophyticus) is an opportunistic pathogen that widely infects humans and various animals.

The role of miR-10b-5p in prostate cancer and its exosome-mediated angiogenesis effect.

Objective: Prostate cancer (PCa) continues to be a major cause of cancer-related mortality globally, underscoring the critical need for novel therapeutic strategies. This study investigates the oncogenic function of miR-10b-5p in PCa progression and evaluates its potential as both a diagnostic marker and therapeutic target.

Methods: miR-10b-5p was initially identified as a candidate oncogene through bioinformatic analysis of The Cancer Genome Atlas (TCGA) PCa data, followed by validation of its expression levels in clinical PCa specimens via fluorescence in situ hybridization (FISH).

Moderators of digital cognitive-behavioral therapy for youth with sickle cell disease pain: secondary analysis of a randomized controlled trial.

Pain is the hallmark symptom of sickle cell disease (SCD). By adolescence, 20% of youth with SCD develop chronic SCD pain. Our randomized controlled trial found significant reductions in pain in youth receiving digital cognitive-behavioral therapy (CBT) vs education control.

Development of a Tool to Measure the Dyadic Process of Shared Decision Making in Young Children: The Making Decisions for Kids (MADE for Kids) Survey.

BackgroundIncorporating clinician and patient perspectives in the measurement of shared decision making (SDM) is aligned with SDM's inherently dyadic nature. There are no tools measuring SDM in pediatrics from multiple perspectives. The objective of this study was to develop a tool to measure SDM from the perspectives of both clinicians and parents of young children.

Comparative analysis of flavor profiles in Chinese hybrid hazelnut (Corylus heterophylla × Corylus avellana) under different roasting conditions using HS-SPME-GC-MS and UPLC-MS/MS.

Roasting impacts the sensory and quality of hazelnuts, yet the metabolic mechanisms underlying thermal-induced flavor changes remain unclear. This study investigated the effects of temperature and duration on the sensory attributes and metabolite profiles of 'Dawei' hazelnuts. Sensory evaluation identified optimal roasting conditions (110 °C_150 min, 130 °C_50 min, 150 °C_35 min) that balanced nutty aroma, color, and texture.

Evaluating the safety of XBB.1.5-containing COVID-19 mRNA vaccines using a self-controlled case series study.

The safety of XBB.1.5-containing COVID-19 mRNA vaccines warrants investigation.

Precise prediction of bone metastases and metastatic burden using exosomal mirnas and radiomics: a multi-center study.

Background: Bone metastasis of prostate cancer (PCa) is a challenging problem, leading to poor prognosis of patients. Existing biomarkers have limited sensitivity and specificity. Therefore, we urgently need a novel diagnostic tool to predict PCa bone metastasis.

Computed tomography-based deep learning radiomics model for preoperative prediction of tumor immune microenvironment in colorectal cancer.

Background: Colorectal cancer (CRC) is a leading cause of cancer-related death globally, with the tumor immune microenvironment (TIME) influencing prognosis and immunotherapy response. Current TIME evaluation relies on invasive biopsies, limiting its clinical application. This study hypothesized that computed tomography (CT)-based deep learning (DL) radiomics models can non-invasively predict key TIME biomarkers: Tumor-stroma ratio (TSR), tumor-infiltrating lymphocytes (TILs), and immune score (IS).

Optimization of deep learning architecture based on multi-path convolutional neural network algorithm.

Current multi-stream convolutional neural network (MSCNN) exhibits notable limitations in path cooperation, feature fusion, and resource utilization when handling complex tasks. To enhance MSCNN's feature extraction ability, computational efficiency, and model robustness, this study conducts an in-depth investigation of these architectural deficiencies and proposes corresponding improvements. At present, there are some problems in multi-path architecture, such as isolated information among paths, low efficiency of feature fusion mechanism, and high computational complexity.

Inhibitior of Bcl6 by FX1 protects DSS induced colitis mice through anti-inflammatory effects.

Introduction: Inflammatory bowel disease (IBD) is a complex immune-mediated condition, and biologics are the most commonly used drugs for its treatment. However, there are still cases of ineffective treatment. B-cell lymphoma 6 (Bcl6), a transcriptional suppressor, is known to have regulatory effects on multiple immune-associated cell subsets.

Psychosocial mechanisms underlying the transition from acute to chronic postsurgical pain in youth following spinal fusion: a 6-month longitudinal study.

Theoretical and empirical work underscores the role of postsurgical acute pain severity and psychosocial factors in the development of chronic postsurgical pain (CPSP). However, evidence on how psychosocial changes in response to acute pain influence CPSP development in adolescents is limited. In this 6-month longitudinal study, adolescents undergoing spinal fusion were assessed presurgery, monitored for 30 days postsurgery, and re-evaluated at 8 weeks and 6 months.

An overview of PROTACs targeting KRAS and SOS1 as antitumor agents.

KRAS is the most frequently mutated oncogene and its mutational activation drives approximately 25 % of human cancers. Son of Sevenless 1 (SOS1) plays a pivotal role in the KRAS signaling pathway through catalyzing the conversion of inactive GDP-bound KRAS to active GTP-bound KRAS, and is thus considered as a promising target for pan-KRAS inhibition. Currently, four KRAS-specific inhibitors, namely sotorasib, adagrasib, fulzerasib and garsorasib, have garnered regulatory approval.

Super RNA Pol II domains enhance minor ZGA through 3D interaction to ensure the integrity of major transcriptional waves in late-ZGA mammals.

Zygotic genome activation (ZGA) occurs at distinct stages across mammals, with mice initiating ZGA at the 2-cell stage and bovines and humans activating the process in the 4- to 8-cell stages. RNA polymerase II (RNA Pol II) gradually initiates ZGA in mice, but regulation in late-ZGA species remains unclear. Here, RNA Pol II profiling in bovine embryos identified strong intergenic clusters that boost minor ZGA gene expression via chromatin interactions and are named super RNA Pol II domains (SPDs).

Tiered Clinician Vaccine Communication Strategy to Improve Childhood Vaccine Uptake: A Cluster Randomized Clinical Trial.

Importance: No experimental studies to date have tested the effectiveness of clinician communication strategies to improve vaccine uptake among children of parents with negative vaccine attitudes.

Objective: To evaluate the effect of a tiered vaccine communication strategy on children of parents with negative vaccine attitudes.

Design, Setting, And Participants: This cluster randomized clinical trial was conducted from September 1, 2019, to March 31, 2023, at primary care pediatric clinics in Colorado (n = 12) and Washington State (n = 12).

Promoting Resilience in Stress Management: A Randomized Controlled Trial of a Novel Psychosocial Intervention for Adolescents and Young Adults With Advanced Cancer.

Purpose: Adolescents and young adults (AYAs) with advanced cancer (AC) report poor quality of life (QOL), high psychological distress, and minimal engagement in health care discussions. We assessed the effect of a novel resilience coaching program (Promoting Resilience in Stress Management [PRISM]-AC) on AYA outcomes.

Methods: We conducted a multisite randomized trial of PRISM-AC versus usual care (UC) among AYAs age 12-24 years, diagnosed with AC within 2 weeks before enrollment.

IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection.

When training and test graph samples follow different data distributions, graph out-of-distribution (OOD) detection becomes an indispensable component of constructing the reliable and safe graph learning systems. Motivated by the significant progress on prompt learning, graph prompt-based methods, which enable a well-trained graph neural network to detect OOD graphs without modifying any model parameters, have been a standard benchmark with promising computational efficiency and model effectiveness. However, these methods ignore the influence of overlapping features existed in both in-distribution (ID) and OOD graphs, which weakens the difference between them and leads to sub-optimal detection results.

A photo-narrative intervention protocol for clinicians and parents of children with severe neurological impairment in the PICU.

Background: Children with severe neurological impairment (SNI) have central nervous system conditions that result in medical complexity and lifelong caregiver assistance. When children with SNI are admitted to the pediatric intensive care unit (PICU), their parents/families may experience elevated stress due to poor communication with clinicians.

Methods: To address this, we created a photo-narrative intervention designed to facilitate parent-clinician communication.

Heart Rate Variability as a Digital Biomarker in Adolescents and Young Adults Receiving Hematopoietic Cell Transplantation.

Introduction: Adolescents and young adults (AYAs) receiving hematopoietic cell transplantation (HCT) are at high risk for poor psychosocial outcomes. Heart rate variability (HRV), a surrogate for autonomic nervous system activity, is a promising digital biomarker that has been linked to important outcomes. The objectives of this study were to prospectively describe the trajectory of HRV among AYAs receiving HCT and explore the association between HRV and patient-reported outcomes (PROs).

[Molecular mechanism of verbascoside in promoting acetylcholine release of neurotransmitter].

The molecular mechanism of verbascoside(OC1) in promoting acetylcholine(ACh) release in the pathogenesis of Alzheimer's disease(AD) was studied. Adrenal pheochromocytoma cells(PC12) of rats induced by β-amyloid protein(1-42)(Aβ_(1-42)) were used as AD models in vitro and were divided into control group, model group(Aβ_(1-42) 10 μmol·L~(-1)), OC1 treatment group(2 and 10 μg·mL~(-1)). The effect of OC1 on phosphorylated proteins in AD models was analyzed by whole protein phosphorylation quantitative omics, and the selectivity of OC1 for calcium channel subtypes was virtually screened in combination with computer-aided drug design.

A novel separated OPECT aptasensor based on MOF-derived BiVO/BiS type-II heterojunction for rapid detection of bacterial quorum sensing signal molecules.

Quorum sensing signal molecules released by microorganisms serve as critical biomarkers regulating the attachment and aggregation of marine microbes on engineered surfaces. Hence, the development of efficient and convenient methods for detecting quorum sensing signal molecules is crucial for monitoring and controlling the formation and development of marine biofouling. Advanced optoelectronic technologies offer increased opportunities and methods for detecting quorum sensing signal molecules, thereby enhancing the accuracy and efficiency of detection.

Construction of Sub-Nano Channels of Amino Pillar[6]arene Inspired Biomimetic Porous Roots for Specific Remove of Imazamox.

The root ducts play an important role in the plant's transport of nutrients from the soil. Based on the selective transport characteristics of plant roots, amino pillar[6]arene bionic porous root sub-nano channel membrane were constructed to remove Imazamox. Imazamox (IM) is an effective imidazolinone herbicide frequently utilized in soybean fields to control a wide range of annual grasses and broad-leaved weeds.

The predictive value of radiomics and deep learning for synchronous distant metastasis in clear cell renal cell carcinoma.

Objective: The objective of this research was to devise and authenticate a predictive model that employs CT radiomics and deep learning methodologies for the accurate prediction of synchronous distant metastasis (SDM) in clear cell renal cell carcinoma (ccRCC).

Methods: A total of 143 ccRCC patients were included in the training cohort, and 62 ccRCC patients were included in the validation cohort. The CT images from all patients were normalized, and the tumor regions were manually segmented via ITK-SNAP software.

Lewis Basicity Enhanced SrFeO-Based Perovskite Fuel Electrode for Surface and Bulk Processes Co-Accelerated CO Reduction in Solid Oxide Electrolysis Cells.

Electroreduction of CO to CO by solid oxide electrolysis cells (SOEC) is an effective means to realize carbon neutralization. However, the sluggish kinetics at SOEC fuel electrode impedes its further practical application. Herein, the doping strategy of cesium ion (Cs) is employed to develop a series of perovskite-type fuel electrode materials, i.

Digital divide: Differences between digital access, preference, and use among parents of pediatric research participants.

Objective: Healthcare delivery and research are moving increasingly towards digital engagement, which could inequitably exclude some populations due to differential technology access and uptake. We sought to evaluate study-related digital access, preferences, and use among parents of patients with Medicaid insurance enrolled in research in a pediatric emergency department (ED).

Methods: We conducted a secondary analysis within a randomized trial at an academic pediatric ED.