Radiation Dose-Volume Effects on Negative Tumor-Draining Lymph Nodes Impacted T-Cell Activation and Prognosis in Esophageal Cancer with Chemoradiotherapy.

Purpose: Preclinical model found that elective nodal irradiation (ENI) attenuated the efficacy of radiotherapy and radio-immunotherapy. However, limited clinical studies have explored the correlation between radiation dose-volume parameters of negative tumor draining lymph nodes (TDLNs) and T-cell activation/prognosis for cancer patients treated with definitive radio(chemo)therapy.

Experimental Design: Patients with locally advanced esophageal cancer undergoing definitive chemoradiotherapy (CRT) were selected from two prospective trials.

ZNF32 histidine 179 and 183 single-site and double-site mutations promote nuclear speckle formation but differentially regulate the proliferation of breast cancer cells.

Studies have shown that histidine 179A and 183A (HA) of the ZNF32 protein exhibit point-like nuclear speckles, but the causes of such speckle formation and their effects on breast cancer cells remain unknown. In this study, we prepared breast cancer cells containing ZNF32 HA, HA, and HA and observed nuclear speckles in all three cell types. Transcriptome analysis showed that these nuclear speckles may be related to changes in the activities of the cell growth factor and RNA polymerase II transcription factor.

Early life brain network connectivity antecedents of executive function in children born preterm.

Preterm birth is associated with an increased risk of executive function (EF) deficits, yet the underlying neural mechanisms remain unclear. We combine diffusion MRI, resting-state functional MRI, and graph theory analyses to examine how structural (SC) and functional connectivity (FC) at term-equivalent age (TEA) influence EF outcomes at 3 years corrected age in children born at or below 32 weeks' gestation. Here we show shorter average path length (a measure of efficient structural communication) in the insula is linked to better EF performance, implying that more direct structural pathways in this region facilitate critical cognitive processes.

[Application of colloidal gold method and chemiluminescence method for detecting gonadotropins in morning urine to assess pubertal development status in children].

Objectives: To explore the application of the colloidal gold method and chemiluminescence method in detecting gonadotropin (Gn) in morning urine for assessing pubertal development status in children.

Methods: A total of 132 children diagnosed with central precocious puberty (CPP), early and fast puberty (EFP), and premature thelarche (PT) at Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from November 2021 to December 2022 were included, along with 685 healthy children who underwent routine health examinations at the hospital's pediatric health care department during the same period. All 132 patients underwent a gonadotropin-releasing hormone (GnRH) stimulation test.

Exhaled breath is feasible for mild cognitive impairment detection: A diagnostic study with portable micro-gas chromatography.

BackgroundMild cognitive impairment (MCI) is an important prodromal stage of Alzheimer's disease (AD), affecting 69 million individuals worldwide. At present, there is a lack of a community-applicable tool for MCI screening. Exhaled breath volatile organic compounds (VOCs) have been used to distinguish MCI from cognitively normal (CN) individuals only in small sample size studies and the efficacy has not been compared with blood biomarkers.

A Method for Assessing the Potential of Multifunctional Retrofitting of Rural Roofs Based on GF-2 Remote Sensing Imagery.

Green roofs and photovoltaic (PV) roofs are important forms of roof retrofitting, and unused rural roofs provide favorable conditions for the development of green roofs and PV roofs. Here, this study proposes a new method for assessing the potential of multifunctional retrofitting of rural roofs. Firstly, rural roof types were classified into three categories based on GF-2 imagery: flat roofs, east-west pitched roofs, and north-south pitched roofs.

The hidden risk in high-temperature urban environments: assessment of metal elements and human health risks of particulate matter at street.

With the exacerbated urban heat island effect, urban populations are exposing to high temperatures and increased exposure to particulate matter (PM) during daily commutes (especially vulnerable groups). Under high-temperature urban environments, the traffic emissions and the individual respiratory rate would rise simultaneously, causing an elevated risk of air particulate exposure. Most previous studies on PM at bus stations have focused on concentration levels, while neglecting chemical analyses of metal elements or increased human respiratory intake in high-temperature environments.

Re-calibrating measurements of low-cost air quality monitors using PCR-GPR air quality forecasting models.

As a key tool for real-time monitoring of air pollutant concentrations, the chemical sensor, the core component of the low-cost Air Quality Monitor (AQM), is susceptible to a variety of factors during the measurement process, leading to errors in the measurement data. To enhance the measurement accuracy of chemical sensors, this paper presents a calibration method based on the PCR-GPR model. This method not only effectively enhances the measurement accuracy of chemical sensors, but also combines the interpretability of traditional statistical models with the high-precision characteristics of Gaussian Process Regression (GPR) models.

Triazole Drives Hole Localization and Superoxide Radical Formation for Enhancive Photocatalytic Cascade Isomerization/C─C Bond Scission of Biomass to Lactic Acid.

Chemocatalytic synthesis of lactic acid (LA) from biomass sugars involves heat-absorbing multistep cascade reactions mediated by different active sites, often encountering unsatisfactory selectivity. Here, a hole-localized carbon nitride-based photocatalyst (C-CNN) is constructed by covalent binding of heptazine and triazole skeleton via C─N bonds and further conjugated interaction with activated carbon, achieving the complete conversion of various biomass sugars to LA (up to 98.6% selectivity) at room temperature for 2 h.

Discovery of novel fluorine-containing parthenolide analogues as potential antitumor agents.

Incorporating fluorine-containing groups into the chemical skeleton is expected to enhance bioactivity and bioavailability. Directly introducing fluorine groups into the parthenolide skeleton remains challenging and limited. In this research, a series of novel fluorine-containing parthenolide derivatives were synthesized through late-stage diversification strategy.

Intramolecular Cyclization and Energetic Group Modifications for Thermally Stable and Low-Sensitivity Monocyclic Dinitromethyl Zwitterionic Pyrazoles.

Zwitterionic energetic materials offer a unique combination of high performance and stability, yet their synthesis and stability enhancement remain key challenges. In this study, we report the synthesis of a highly stable (dinitromethyl-functionalized zwitterionic compound, 1-(amino(iminio)methyl)-4,5-dihydro-1H-pyrazol-5-yl)dinitromethanide (), with a thermal decomposition temperature of 215 °C, surpassing that of most previously reported energetic monocyclic zwitterions ( < 150 °C). This compound was synthesized via intramolecular cyclization of a trinitromethyl-functionalized hydrazone precursor.

NRGCNMDA: Microbe-Drug Association Prediction Based on Residual Graph Convolutional Networks and Conditional Random Fields.

The process of discovering new drugs related to microbes through traditional biological methods is lengthy and costly. In response to these issues, a new computational model (NRGCNMDA) is proposed to predict microbe-drug associations. First, Node2vec is used to extract potential associations between microorganisms and drugs, and a heterogeneous network of microbes and drugs is constructed.

Prognostic value of the triglyceride-glucose index in non-muscle-invasive bladder cancer: a retrospective study.

Background: Bladder carcinoma is a type of urological tumor with high risks of recurrence and progression. The triglyceride-glucose (TyG) index has demonstrated significant promise as a prognostic marker for metabolic health in different types of cancer. Further research is needed to explore the relationships among non-muscle-invasive bladder cancer (NMIBC), the TyG index, and its prognostic importance.

Glutathione-functionalized covalent organic frameworks@silica as a hydrophilic-hydrophobic balanced mixed-mode stationary phase for highly efficient separation of compounds with a wide range of polarity.

Background: Covalent organic frameworks (COFs) are a highly promising stationary phase for high-performance liquid chromatography (HPLC), but the separation of polar compounds is limited by their low hydrophilicity. Therefore, it is crucial to develop novel COFs-based stationary phases with balanced hydrophilicity-hydrophobicity for the efficient separation of different polar compounds.

Results: In this paper, glutathione (GSH)-functionalized COFs@silica microspheres (GSH-COFs@SiO) were synthesized via a two-step, post-synthesis modification strategy.

Molecular mechanisms underlying age-dependent effects of rearing system on the goose testicular development and semen quality.

As an important non-genetic factor, the rearing system has significant effects on male poultry reproductive system development. However, compared with other poultry such as chickens and ducks, less is known about the effects and mechanisms of rearing system on the gander reproductive organ development and semen quality. In the present study, the testicular morphological, histological, and transcriptomic responses of three goose breeds to the two dryland rearing systems (i.

Advanced analytical methods for multi-spectral transmission imaging optimization: enhancing breast tissue heterogeneity detection and tumor screening with hybrid image processing and deep learning.

Light sources exhibit significant absorption and scattering effects during the transmission through biological tissues, posing challenges in identifying heterogeneities in multi-spectral images. This paper introduces a fusion of techniques encompassing the spatial pyramid matching model (SPM), modulation and demodulation (M_D), and frame accumulation (FA). These techniques not only elevate image quality but also augment the precision of heterogeneous classification in multi-spectral transmission images (MTI) within deep learning network models (DLNM).

A Novel Prognostic Nomogram Based on TIGIT and NKG2A Can Predict Relapse-Free Survival of Hepatocellular Carcinoma After Hepatectomy.

Background And Objectives: Hepatocellular carcinoma (HCC) is a major global health concern, and emerging evidence suggests that TIGIT and NKG2A are potential immune checkpoints with implications for HCC progression. This study aimed to evaluate the prognostic significance of TIGIT and NKG2A expression in HCC patients who underwent radical liver resection.

Methods: We conducted a retrospective analysis of 144 HCC patients who underwent radical liver resection.

Laser modulation of the FePSmemristors.

Ternary two-dimensional (2D) material-based memristors have garnered significant attention in the fields of machine learning, neuromorphic computing due to their low power consumption, rapid learning, and synaptic-like behavior. Although such memristors often exhibit high ON/OFF ratios and exceptional pulse response characteristics, they have also to face some challenges concerning reusability and switching cycles, which arise from the filament instability issues. Here we propose a modulation strategy to improve performance of 2D-material memristors with synaptic and flexible features.

Development and validation of a novel prognostic prediction system based on GLIM-defined malnutrition for colorectal cancer patients post-radical surgery.

Background: Malnutrition often occurs in patients with colorectal cancer. This study aims to develop a predictive model based on GLIM criteria for patients with colorectal cancer who underwent radical surgery.

Methods: From December 2015 to May 2021, patients with colorectal cancer who underwent radical surgery at our center were recruited for this study.

DFC-Igloo: A dynamic functional connectome learning framework for identifying neurodevelopmental biomarkers in very preterm infants.

Background And Objective: Very preterm infants are susceptible to neurodevelopmental impairments, necessitating early detection of prognostic biomarkers for timely intervention. The study aims to explore possible functional biomarkers for very preterm infants at born that relate to their future cognitive and motor development using resting-state fMRI. Prior studies are limited by the sample size and suffer from efficient functional connectome (FC) construction algorithms that can handle the noisy data contained in neonatal time series, leading to equivocal findings.

Preliminary Efficacy, Tolerability, and Safety Analysis of Darolutamide for Metastatic Castration-Resistant Prostate Cancer: A Single-Center, Open-Label Study.

Introduction: Darolutamide is a structurally unique second-generation androgen receptor antagonist that has been approved for indications in patients with non-metastatic castration-resistant prostate cancer (nmCRPC) and metastatic hormone-sensitive prostate cancer (mHSPC). The aim was to assess the efficacy and safety of Darolutamide for mCRPC.

Methods: In this single-center, open-label study, patients with previously untreated mCRPC were enrolled and received androgen deprivation therapy (goserelin acetate 3.

RBM15B Promotes Prostate Cancer Cell Proliferation via PCNA m6A Modification.

Prostate cancer (PC) is the most frequently occurring cancer in men, characterized by the abnormal proliferation of cells within the prostate gland. This study explores the role of RNA binding motif protein 15B (RBM15B) in PC. RBM15B expression levels in PC patients were predicted using the Starbase database.

Microbe-drug association prediction model based on graph convolution and attention networks.

The human microbiome plays a key role in drug development and precision medicine, but understanding its complex interactions with drugs remains a challenge. Identifying microbe-drug associations not only enhances our understanding of their mechanisms but also aids in drug discovery and repurposing. Traditional experiments are expensive and time-consuming, making computational methods for predicting microbe-drug associations a new trend.

Generation of RAG2 Knockout Immune-Deficient Miniature Pigs.

Recombination-activating genes (RAGs) play a crucial role in the V(D)J recombination process and the development of immune cells. The development of the immune system and its mechanisms in pigs exhibit greater similarity to those of humans compared to other animals, thus rendering pigs a valuable tool for biomedical research. In this study, we utilized CRISPR/Cas9 gene editing and somatic cell nuclear transfer technology to generate RAG2 knockout (KO) pigs.