METTL3-mediated CEP170 m6A modifications in spindle orientation and esophageal cancer cell proliferation.

Esophageal cancer is a major malignancy with a high incidence and poor prognosis. To elucidate the mechanisms underlying its progression, particularly with respect to cell division and spindle orientation, we investigated the role of m6A modifications and the centrosomal protein CEP170. Using m6A-seq and RNA-seq of esophageal cancer tissues and adjacent normal tissues, we identified significant alterations in m6A modifications and gene expression, highlighting the upregulation and m6A enrichment of CEP170 in tumor tissues.

PFKFB3-dependent redox homeostasis and DNA repair support cell survival under EGFR-TKIs in non-small cell lung carcinoma.

Background: The efficacy of tyrosine kinase inhibitors (TKIs) targeting the EGFR is limited due to the persistence of drug-tolerant cell populations, leading to therapy resistance. Non-genetic mechanisms, such as metabolic rewiring, play a significant role in driving lung cancer cells into the drug-tolerant state, allowing them to persist under continuous drug treatment.

Methods: Our study employed a comprehensive approach to examine the impact of the glycolytic regulator 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase (PFKFB3) on the adaptivity of lung cancer cells to EGFR TKI therapies.

Fatigue Crack Growth Performance of Q370qENH Weathering Bridge Steel and Butt Welds.

Weathering steel possesses good atmospheric corrosion resistance and is increasingly applied in highway and railway bridges. The fatigue performance of the weld joint is an important issue in bridge engineering. This study experimentally investigates the microstructural properties and fracture crack growth behaviors of a Q370qENH bridge weathering steel weld joint.

Genome-Wide Identification and Expression Profiles of Nuclear Factor Y A Transcription Factors in Blueberry Under Abiotic Stress.

Nuclear Factor Y A (NF-YA) transcription factors are widely involved in multiple plant biological processes, such as embryogenesis, abscisic acid signaling, and abiotic stress response. This study presents a comprehensive genome-wide identification and expression profiling of NF-YA transcription factors in blueberry (), an important economic crop with good adaptability, under abiotic stress conditions. Given the economic significance and health benefits of blueberries, understanding their responses to environmental stresses, such as salt, drought, and temperature extremes, is crucial.

Room temperature polaritonic soft-spin XY Hamiltonian in organic-inorganic halide perovskites.

Exciton-polariton condensates, due to their nonlinear and coherent characteristics, have been employed to construct spin Hamiltonian lattices for potentially studying spin glass, critical dephasing, and even solving optimization problems. Here, we report the room-temperature polariton condensation and polaritonic soft-spin XY Hamiltonian lattices in an organic-inorganic halide perovskite microcavity. This is achieved through the direct integration of high-quality single-crystal samples within the cavity.

Fibroblast growth factor receptor risk signature predicts patient prognosis and immunotherapy resistance in colorectal cancer.

Background: Fibroblast Growth Factor Receptor (FGFR) signaling is linked with tumor progression and tumor immunoevasion, yet the potential effect of FGFR signature on the prognosis of patient with colorectal cancer (CRC) and response to immune therapy remains elusive.

Methods: The fibroblast growth factor receptor risk signature (FRS) was identified through single-cell RNA sequencing, bulk RNA sequencing, and machine learning techniques. Signaling enrichment analyses were conducted using Gene Set Enrichment Analysis (GSEA) and the Kyoto Encyclopedia of Genes and Genomes (KEGG).

Optimizing acute chest pain diagnosis: Efficacy of 64-channel multi-slice CT with Snap-Shot Freeze technique in Triple-Rule-out CT angiography.

Objective: This study evaluates the efficacy of Snap-Shot Freeze (SSF) technology combined with optimized contrast medium (CM) injection protocols in Triple-Rule-Out (TRO) computed tomography angiography (CTA) using 64-channel multi-slice CT (MSCT) for diagnosing acute chest pain (ACP).

Materials And Methods: A total of 111 patients presenting with ACP were enrolled and divided into two groups: Group 1 (23 patients) underwent TRO CTA using 64-channel MSCT with SSF technology, while the control group (88 patients) which was further divided into three cohorts underwent specific site CTA scans. Quantitative metrics such as CT values, standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were calculated for pulmonary artery, coronary arteries, and aortic imaging.

Hepatic TM6SF2 activates antitumour immunity to suppress metabolic dysfunction-associated steatotic liver disease-related hepatocellular carcinoma and boosts immunotherapy.

Background: Transmembrane 6 superfamily member 2 (TM6SF2) has a protective role against metabolic dysfunction-associated steatotic liver disease (MASLD).

Objective: We aim to investigate the mechanistic role and therapeutic potential of hepatic TM6SF2 in MASLD-related hepatocellular carcinoma (HCC).

Design: Hepatocyte-specific knockout ( ) mice were fed with high-fat/high-cholesterol (HFHC) diet or diethylnitrosamine plus HFHC diet to induce MASLD-HCC.

Miltefosine reinvigorates exhausted T cells by targeting their bioenergetic state.

T cell exhaustion presents a major challenge for the efficacy of both immune checkpoint inhibitors (ICBs) and chimeric antigen receptor T (CAR-T) cell immunotherapies. To address this issue, we generate hypofunctional CAR-T cells that imitate the exhaustion state. By screening a Food and Drug Administration (FDA)-approved small molecule library using this model, we identify miltefosine as a potent molecule that restores the impaired function of CAR-T cells in a PD-1/PD-L1-independent manner.

Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural Network.

Accurate prediction of Adverse Drug Reactions (ADRs) at the patient level is essential for ensuring patient safety and optimizing healthcare outcomes. Traditional machine learning-based methods primarily focus on predicting potential ADRs for drugs, but they often fall short of capturing the complexity of individual demographics and the variations in ADRs experienced by different people. In this study, a novel framework called Precise Adverse Drug Reaction (PreciseADR) for patient-level ADR prediction is proposed.

Study on the co-occurrence of multiple health service needs throughout the lifecourse of rural residents in China based on association rules.

Objective: To understand the multiple health service needs of rural residents in China and explore the co-occurrence patterns of these needs throughout the entire life course, providing a basis for the formulation and optimization of health service packaging policies.

Methods: This study utilized a stratified random sampling method, resulting in a final sample size of 15,125 individuals. The R statistical software was employed to apply the Apriori algorithm to mine the co-occurrence relationships among multiple health service needs across the life course and to explore the packaging model of these services.

Comprehensive Analysis of circRNA and mRNA Revealing Potential Mechanism Underlying Neuroinflammation in BV2 Cells.

Background: The significance of circular RNAs (circRNAs) in diabetic complications has been established. However, their role in basal and diabetic states, as well as cognitive dysfunction, requires further investigation.

Methods: BV-2 microglial cells were exposed to high glucose (50mM) and insulin (2μM) for 48 hours.

A detailed evaluation of the advantages among extracellular vesicles from three cell origins for targeting delivery of celastrol and treatment of glioblastoma.

As one of the most common brain tumors, glioblastoma (GBM) lacks efficient therapeutic treatment and remains lethal. Extracellular vesicles (EVs) have emerged as a promising platform for GBM therapies. Nevertheless, the properties of EVs are significantly influenced by their cell origins.

Residual Strain Development in Rapid Frontally Curing Polymers.

Frontal polymerization (FP) has emerged as a rapid and energy-efficient process for fabricating thermoset polymers and composites. In this process, a self-propagating reaction front cures the polymer rapidly by the exothermic heat of polymerization reaction instead of an external heat source. Design for FP-based manufacturing in commercial applications requires more comprehensive characterization and prediction of material evolution and residual deformation throughout the process.

Comparison of multiple machine learning models for predicting prognosis of pancreatic ductal adenocarcinoma based on contrast-enhanced CT radiomics and clinical features.

Objective: The aim of this study was to evaluate the prognostic potential of combining clinical features and radiomics with multiple machine learning (ML) algorithms in pancreatic ductal adenocarcinoma (PDAC).

Methods: A total of 116 patients with PDAC who met the eligibility criteria were randomly assigned to a training or validation cohort. Seven ML algorithms, including Supervised Principal Components, stepwise Cox, Random Survival Forest, CoxBoost, Least absolute shrinkage and selection operation (Lasso), Ridge, and Elastic network, were integrated into 43 algorithm combinations.

Comprehensive Diagnostic Value of Vertebral Bone Quality Scores and Paravertebral Muscle Quality Parameters in Osteoporotic Vertebral Fractures.

Objective: Both vertebral bone quality (VBQ) scores and paravertebral muscle quality can predict osteoporotic vertebral fractures (OVFs). This study aimed to compare the diagnostic value of opportunistic VBQ scores and sarcopenia for OVF and to determine if their combined use could enhance diagnostic efficacy.

Methods: A total of 194 patients, matched 1:1 by age and sex, were included.

From OCD Symptoms to Sleep Disorders: The Crucial Role of Vitamin B12.

Objective: Vitamin B12 is crucial for neurological functions and linked to various psychiatric disorders. Given its importance, this study explores the impact of vitamin B12 deficiency on sleep quality in Obsessive-Compulsive Disorder (OCD) patients, while also examining folate and homocysteine levels to explore their potential interactions with OCD symptoms and sleep quality.

Methods: This cross-sectional study included 52 patients with OCD and 42 healthy controls.