Machine learning and molecular dynamics reveal anti-osteoporosis potential of dietary flavonoids.

ABSTRACT: Osteoporosis (OP) has imposed a heavy burden on global health. Current treatments often come with side effects, which has spurred interest in dietary bioactive compounds with preventive potential. Flavonoids, typical representatives of both medicine and food, possess nutritional and pharmacological properties related to bone health. However, the key active components and mechanisms of action of their anti-OP effects still require systematic research. Data from the National Health and Nutrition Examination Survey and the Food and Nutrient Database for Dietary Studies were integrated. The flavonoid intake and OP status of 5789 American adults (aged ≥50) were analyzed. Five machine-learning algorithms (Boruta, LassoCV, RFECV, mRMR, and ReliefF) were employed to screen flavonoid sub-classes, f

SUBMITTER: Zhang B 

PROVIDER: S-EPMC12517844 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature