Results 181 to 190 of about 111,969 (307)
Dietary habits play a key role in chronic diseases, and higher annual consumption of fruit and vegetable may lower risk of dementia. Artificial intelligence predicts the lipid‐like compound α‐Amyrin (αA) from plants with edible peels as a drug candidate against Alzheimer's disease.
Shu‐Qin Cao +36 more
wiley +1 more source
Correcting the Variance of Effect Sizes Based on Binary Outcomes for Clustering. [PDF]
Hedges LV.
europepmc +1 more source
Conditional Variance Parameters in Symmetric Models
Josephine Nneamaka Onyeka-Ubaka +2 more
openalex +1 more source
The loss of Ubiquitin Specific Peptidase 26 (USP26) in osteoblasts results in decreased bone formation, as well as multi‐organ fibrosis associated with insulin resistance (IR). Mechanistically, the absence of USP26 reduces glycolysis and lactate accumulation, leading to decreased histone H3 lysine 18 lactylation (H3K18LA) in the promoter region of KH ...
Jiyuan Tang +9 more
wiley +1 more source
Computationally efficient meta-analysis of gene-based tests using summary statistics in large-scale genetic studies. [PDF]
Joseph TA +15 more
europepmc +1 more source
A post‐stroke perivascular niche of microglia characterized by low expression of M2 markers and elevated glycolysis, oxidative phosphorylation (OXPHOS), and phagocytic activity is identified, which is termed stroke‐activated vascular‐associated microglia (stroke‐VAM).
Yanan Li +8 more
wiley +1 more source
This study provides the first evidence that PM2.5 impairs iWAT browning via PTG‐mediated glycogen metabolism disruption, which is initiated by ADRB3 inhibition and subsequently triggers VEGFB upregulation. It thereby delineates the ADRB3‐PTG‐VEGFB axis as central to PM2.5‐induced metabolic dysfunction and identifies adipose glycogen metabolism as a ...
Limin Wang +12 more
wiley +1 more source
Causal Inference for First Non-Fatal Events With the Competing Risk of Death: A Principal Stratification Approach. [PDF]
Sun J, Cook T.
europepmc +1 more source
Variance Clustering Improved Dynamic Conditional Correlation MGARCH Estimators
Gian Piero Aielli, Massimiliano Caporin
openalex +1 more source
Using machine‐learning analyses in two independent multiple sclerosis cohorts, spinal cord atrophy and cortical degeneration emerged as key predictors of disability and progression independent of relapses. Deep gray matter damage further improved prediction, while serum biomarkers of brain damage provided complementary information, highlighting the ...
Alessandro Cagol +17 more
wiley +1 more source

