Results 211 to 220 of about 2,712,849 (369)
Quercetin regulates signaling pathways in neurodegenerative diseases, including NF‐κB, sirtuins, and PI3K/Akt. Studies show quercetin improves symptoms and pathology in neurodegenerative models. The study aims to incorporate laboratory research into practical medical treatment, focusing on quercetin's neuroprotective effects and optimal dosage ...
Md. Rezaul Islam+13 more
wiley +1 more source
This study describes the clinical and laboratory profile and outcomes of hospitalized COVID‐19 patients with type 2 diabetes mellitus (DM) in Ghana. Out of 175 patients (mean age 55.9+/−18.3 years) 64 (36.6%) had DM. Compared to non‐diabetics, DM patients were older (61.1? 12.8 vs. 53.0?
Yasmine Oladele Hardy+13 more
wiley +1 more source
Genetic predisposition to inflammation: a new risk factor of Alzheimer’s disease
Ying Wan, Gang Wang, Shengdi Chen
openalex +2 more sources
At low levels of B12, specifically when bound to transcobalamin for cellular uptake, evidence of slower conductivity in the brain could point toward impaired myelin. At high levels of B12, specifically when bound to the biologically inert transport protein haptocorrin, biomarkers of neurodegeneration appear in the serum, indicating neuroaxonal injury ...
Alexandra Beaudry‐Richard+22 more
wiley +1 more source
Genetic predisposition of Parkinson’s Disease
N. Hattori+5 more
openaire +2 more sources
Psychoses of Epilepsy: Unravelling the Phenotypic and Genotypic Features
Objectives We analyzed the genotypic and phenotypic features of patients with psychosis of epilepsy (POE). Methods Patients with POE recruited to an epilepsy genetics research program underwent phenotyping and genetic analysis. The latter included screening for rare pathogenic variants in epilepsy genes, and polygenic risk score (PRS) calculation for ...
Genevieve Rayner+4 more
wiley +1 more source
Genetics-Driven Personalized Disease Progression Model [PDF]
Modeling disease progression through multiple stages is critical for clinical decision-making for chronic diseases, e.g., cancer, diabetes, chronic kidney diseases, and so on. Existing approaches often model the disease progression as a uniform trajectory pattern at the population level. However, chronic diseases are highly heterogeneous and often have
arxiv