Role of NAT10-mediated acC acetylation of ENO1 mRNA in glycolysis and apoptosis in non-small cell lung cancer cells.

Background: Abnormal expression of N-acetyltransferase 10 (NAT10) has been shown to promote the progression of various tumors, including non-small cell lung cancer (NSCLC). This study was designed to investigate the role of NAT10 in NSCLC and the underlying mechanism.

Methods: Reverse transcription-quantitative polymerase chain reaction and Western blot were used to analyze the levels of NAT10 in NSCLC cell lines.

Mining and disproportionality analysis of adverse events signals for naltrexone based on real-world data from the FAERS database.

Background: This study aims to analyze adverse events (AEs) associated with naltrexone based on the FAERS database, providing a foundation for its safety monitoring.

Research Design And Methods: Disproportionality analysis methods, including Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Item Gamma Poisson Shrinker (MGPS) algorithms, were employed to quantify signals of naltrexone-related .

Results: AEs related to naltrexone from the first quarter of 2013 to the fourth quarter of 2023 were extracted from the FAERS database for detailed analysis.

Probiotic effects on skin health: comprehensive visual analysis and perspectives.

Background: Bacteria play a crucial role in maintaining the health of human skin. Research has demonstrated that probiotics present notable benefits for extraintestinal organs. Despite the extensive research on the impact of probiotics on skin health, there is a notable absence of regulatory frameworks governing their external application, with no approval from the FDA for any probiotic products for external use.

Mapping the relationship between alcohol use disorder and gut microbiota: a 20-year bibliometric study.

Background: Alcohol use disorder (AUD) is a psychiatric disorder that is widespread worldwide. Alcohol use is a significant contributor to the global burden of death, disability and disease. Modulation of the gut microbiota is a promising approach to improve the efficacy and minimize the adverse effects of colorectal cancer treatment.

The prevalence and clinical correlation factors of cognitive impairment in patients with major depressive disorder hospitalized during the acute phase.

Objective: This study aimed to investigate the prevalence of cognitive impairment among patients with major depressive disorder (MDD) hospitalized during the acute phase and to analyze the in-depth association between this cognitive impairment and clinical correlation factors.

Methods: In this cross-sectional study, we recruited 126 patients aged between 18 and 65 years who were diagnosed with MDD. All these patients were inpatients from the Department of Psychiatry at the Second People's Hospital of Hunan Province.

Olanzapine enhances early brain maturation through activation of the NODAL/FOXH1 axis.

The portrayed effects of olanzapine on brain development and neuronal response remain unclear under the genetic background of . Here, we constructed therapeutic-dosage olanzapine-treated cerebral organoid (CO) models using induced pluripotent stem cells from human samples. We found that the activation of NODAL/FOXH1 axis mediated the early response to olanzapine up to day 15, which subsequently caused thicker cortical-like structures, cell identity maturation, higher stemness of neural progenitor cells (NPCs), and mature neuronal firing of early neurons in day 24.

METTL3 inhibits microglial pyroptosis in neonatal hypoxia-ischemia encephalopathy by regulating GPR39 expression in an m6A-HuR-dependent manner.

Background: Neonatal hypoxia-ischemia encephalopathy (HIE) is a significant reason for neonatal mortality and prolonged disability. We have previously revealed that GPR39 activation attenuates neuroinflammation in a neonatal HIE rat model. This study aimed to investigate whether GPR39 affected microglial pyroptosis post-HIE.

Construction and validation of a joint diagnosis model based on random forest and artificial intelligence network for hepatitis B-related hepatocellular carcinoma.

Background: Hepatitis B virus (HBV) is the dominant pathogenic factor of hepatocellular carcinoma (HCC) in Asia and Africa. Early identification and clinical diagnosis are crucial for HBV-related HCC. Random forest (RF) and artificial neural network (ANN) were an innovative and highly effective supervised machine learning (ML) algorithm for the early diagnosis and screening of HBV-related HCC.

A clinical-radiomics model based on noncontrast computed tomography to predict hemorrhagic transformation after stroke by machine learning: a multicenter study.

Objective: To build a clinical-radiomics model based on noncontrast computed tomography images to identify the risk of hemorrhagic transformation (HT) in patients with acute ischemic stroke (AIS) following intravenous thrombolysis (IVT).

Materials And Methods: A total of 517 consecutive patients with AIS were screened for inclusion. Datasets from six hospitals were randomly divided into a training cohort and an internal cohort with an 8:2 ratio.

Impact of Macrophage Migration Inhibitory Factor Gene Polymorphisms and Serum Macrophage Migration Inhibitory Factor Levels on Pulmonary and Spinal Tuberculosis Susceptibility: A Pooled Analysis.

This study was designed to evaluate the association between macrophage migration inhibitory factor () gene polymorphisms, serum MIF levels and tuberculosis (TB) susceptibility. All satisfactory studies were included; the genotype number and serum MIF levels were reviewed. The Stata and Review Manager software were used for the pooled analyses.

Integrated Transcriptomic Analysis Revealed Hub Genes and Pathways Involved in Sorafenib Resistance in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC), a high mortality malignancy, has become a worldwide public health concern. Acquired resistance to the multikinase inhibitor sorafenib challenges its clinical efficacy and the survival benefits it provides to patients with advanced HCC. This study aimed to identify critical genes and pathways associated with sorafenib resistance in HCC using integrated bioinformatics analysis.

Activation of GPR39 with TC-G 1008 attenuates neuroinflammation via SIRT1/PGC-1α/Nrf2 pathway post-neonatal hypoxic-ischemic injury in rats.

Background: Hypoxic-ischemic encephalopathy (HIE) is a severe anoxic brain injury that leads to premature mortality or long-term disabilities in infants. Neuroinflammation is a vital contributor to the pathogenic cascade post-HIE and a mediator to secondary neuronal death. As a plasma membrane G-protein-coupled receptor, GPR39, exhibits anti-inflammatory activity in several diseases.

A deep learning-based dual-omics prediction model for radiation pneumonitis.

Purpose: Radiation pneumonitis (RP) is the main source of toxicity in thoracic radiotherapy. This study proposed a deep learning-based dual-omics model, which aims to improve the RP prediction performance by integrating more data points and exploring the data in greater depth.

Materials And Methods: The bimodality data were the original dose (OD) distribution and the ventilation image (VI) derived from four-dimensional computed tomography (4DCT).

LncRNA CRNDE facilitates epigenetic suppression of CELF2 and LATS2 to promote proliferation, migration and chemoresistance in hepatocellular carcinoma.

Our study aimed to investigate the expression, functional significance, and related mechanism of long noncoding RNA CRNDE (colorectal neoplasia differentially expressed) in hepatocellular carcinoma (HCC) pathogenesis. The resulted revealed that CRNDE was significantly overexpressed in HCC tissues and cell lines, and was statistically correlated with poor clinical outcome. CRNDE knockdown markedly decreased HCC cell proliferation, migration, and chemoresistance.

Identification of significant gene and pathways involved in HBV-related hepatocellular carcinoma by bioinformatics analysis.

Background: Hepatocellular carcinoma (HCC) is a common malignant tumor affecting the digestive system and causes serious financial burden worldwide. Hepatitis B virus (HBV) is the main causative agent of HCC in China. The present study aimed to investigate the potential mechanisms underlying HBV-related HCC and to identify core biomarkers by integrated bioinformatics analyses.

Low-intensity pulsed ultrasound promotes the proliferation of human bone mesenchymal stem cells by activating PI3K/AKt signaling pathways.

Low-intensity pulsed ultrasound (LIPUS) is a promising therapy that is widely used in clinical applications and fundamental research. Previous research has shown that LIPUS exposure has a positive effect on stem cell proliferation. However, the impact of LIPUS exposure on human bone marrow mesenchymal stem cells (hBMSCs) remains unknown.