CDCG-UNet: Chaotic Optimization Assisted Brain Tumor Segmentation Based on Dilated Channel Gate Attention U-Net Model.

Brain tumours are one of the most deadly and noticeable types of cancer, affecting both children and adults. One of the major drawbacks in brain tumour identification is the late diagnosis and high cost of brain tumour-detecting devices. Most existing approaches use ML algorithms to address problems, but they have drawbacks such as low accuracy, high loss, and high computing cost.

Hyper-energy metabolism of oxidative phosphorylation and enhanced glycolysis contributes to radioresistance in glioma cells.

The concept of dual-state hyper-energy metabolism characterized by elevated glycolysis and OxPhos has gained considerable attention during tumor growth and metastasis in different malignancies. However, it is largely unknown how such metabolic phenotypes influence the radiation response in aggressive cancers. Therefore, the present study aimed to investigate the impact of hyper-energy metabolism (increased glycolysis and OxPhos) on the radiation response of a human glioma cell line.

Dietary administration of the glycolytic inhibitor 2-deoxy-D-glucose reduces endotoxemia-induced inflammation and oxidative stress: Implications in PAMP-associated acute and chronic pathology.

Pathogen-associated molecular patterns (PAMPs) like bacterial cell wall components and viral nucleic acids are known ligands of innate inflammatory receptors that trigger multiple inflammatory pathways that may result in acute inflammation and oxidative stress-driven tissue and organ toxicity. When dysregulated, this inflammation may lead to acute toxicity and multiorgan failure. Inflammatory events are often driven by high energy demands and macromolecular biosynthesis.