NMDA receptors antagonists alleviated the acute phase of traumatic brain injury.

Objectives: Traumatic brain injury (TBI) is a significant cause of mortality and disability worldwide. TBI has been associated with factors such as oxidative stress, neuroinflammation, and apoptosis, which are believed to be mediated by the N-methyl-D-aspartate (NMDA)-type glutamate receptor. Two NMDA receptor antagonists, ketamine and memantine, have shown potential in mitigating the pathophysiological effects of TBI.

MiRNA-155: A double-edged sword in colorectal cancer progression and drug resistance mechanisms.

Colorectal cancer (CRC) is a leading cause of death worldwide due to its aggressive nature and drug resistance, which limit traditional treatment effectiveness. Recent studies highlight the role of microRNAs (miRNAs) in tumorigenesis, metastasis, and chemotherapy resistance, with miRNA-155 emerging as a key player in CRC. miRNA-155 exerts dual effects, inducing drug resistance while serving as a potential therapeutic target.

Cardiovascular outcomes of SGLT-2 inhibitors' subtypes in type 2 diabetes; an updated systematic review and meta-analysis of randomized controlled trials.

Introduction: The effects of Sodium-glucose cotransporter-2 (SGLT-2) inhibitors on cardiac outcomes, cardiovascular mortality (CVM), and all-cause mortality (ACM) in type 2 diabetes mellitus (T2DM) patients have been reported heterogeneously in different studies.

Methods: PubMed, Scopus, Embase, Cochrane Library, and Scholar databases were searched with relevant MeSH terms from January 1, 2010, to November 14, 2023. The study used Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

Survival parametric modeling for patients with heart failure based on Kernel learning.

Time-to-event data are very common in medical applications. Regression models have been developed on such data especially in the field of survival analysis. Kernels are used to handle even more complicated and enormous quantities of medical data by injecting non-linearity into linear models.