Proteo-Transcriptomic Analysis Reveals the Mechanisms Underlying Escherichia coli Phenotypic Shifts Under Blue Light.

Bacteria can adapt their lifestyles, including microbial growth, metabolism, and biofilm formation, in response to light signaling. However, the molecular pathways through which blue light affects the lifestyle of Escherichia coli (E. coli) remain incomplete and poorly understood.

Research on predicting radiographic exposure time in imaging based on neural network prediction models.

Objective: To explore the anatomical and clinical factors that affect the radiographic exposure time in radial artery cerebral angiography and to establish a model.

Method: A total of 210 patients who underwent radial artery cerebral angiography at this center from September 2021 to May 2022 were selected, and their anatomical and clinical factors were analyzed to evaluate the correlation between these factors and the duration of radiographic exposure. A related neural network prediction model was established.

Glycosylation profiling of triple-negative breast cancer: clinical and immune correlations and identification of LMAN1L as a biomarker and therapeutic target.

Introduction: Breast cancer (BC) is the most prevalent malignant tumor in women, with triple-negative breast cancer (TNBC) showing the poorest prognosis among all subtypes. Glycosylation is increasingly recognized as a critical biomarker in the tumor microenvironment, particularly in BC. However, the glycosylation-related genes associated with TNBC have not yet been defined.

Association of Insomnia, Lipid Profile, and Lipid-Lowering Medications: A Narrative Review.

Sleep is a fundamental phenomenon that helps maintain normal physiological processes. Conversely, sleep disorders, usually presented as insomnia, are a common public health problem that can lead to multiple pathophysiological changes in humans, including lipid metabolic abnormality. Interestingly, several previous studies have examined the potential relation of insomnia to metabolic syndrome and hyperlipidemia and found that insomnia was associated with elevated plasma cholesterol and triglyceride concentrations.

Cancer type-specific adverse events of immune checkpoint inhibitors: A systematic review and meta-analysis.

Background: The distribution of adverse events (AEs) triggered by immune checkpoint inhibitors (ICIs) across different cancer types has never been demonstrated.

Methods: Randomised controlled trials exclusively assessing ICI monotherapy in cohorts of over 100 patients were considered. Our primary outcome was a comprehensive summary of the distribution of all-grade treatment-related adverse events (TRAEs) as well as serious TRAEs (CTCAE grade 3 or higher) across different malignancies.