Infections among adults hospitalized in intensive care after the 2023 earthquake in the southeastern part of Türkiye: a multi-center observational study.

Background: Scarce evidence is available on the epidemiology of microbiologically proven clinical infections in patients admitted to the intensive care unit (ICU) after a great earthquake. The main aim of this study was to assess clinical infections and microbiological features in patients admitted to the ICU following the 2023 earthquake in the southeastern region of Türkiye with a focus on the timing of culture positivity during their ICU stay. The secondary objectives included determining antibiotic susceptibility patterns, identifying the types of antibiotics administered upon ICU admission, evaluating the appropriateness of antibiotic usage, assessing patient outcomes, and identifying factors that influence microbiologically confirmed clinical infections.

Ethical Considerations Regarding Psychedelics for Clinical Pain Research.

Psychedelics, substances with a long history of cultural and medicinal use, are experiencing a resurgence in clinical research, particularly in psychiatry. Despite their classification as Schedule I drugs, recent studies suggest therapeutic potential, particularly in treating refractory depression. With chronic pain representing a major health concern and with few non-opioid treatment options available, psychedelics are being explored as alternative treatment modalities.

Identifying Hub Genes and Metabolic Pathways in Collagen VI-Related Dystrophies: A Roadmap to Therapeutic Intervention.

Collagen VI-related dystrophies (COL6RD) are a group of rare muscle disorders caused by mutations in specific genes responsible for type VI collagen production. It affects muscles, joints, and connective tissues, leading to weakness, joint problems, and structural issues. Currently, there is no effective treatment for COL6RD; its management typically addresses symptoms and complications.

Unveiling the Molecular Mechanisms of Glioblastoma through an Integrated Network-Based Approach.

: Despite current treatments extending the lifespan of Glioblastoma (GBM) patients, the average survival time is around 15-18 months, underscoring the fatality of GBM. This study aims to investigate the impact of sample heterogeneity on gene expression in GBM, identify key metabolic pathways and gene modules, and explore potential therapeutic targets. : In this study, we analysed GBM transcriptome data derived from The Cancer Genome Atlas (TCGA) using genome-scale metabolic models (GEMs) and co-expression networks.