Potential role of formononetin as a novel natural agent in Alzheimer's disease and osteoporosis comorbidity

Background The growing aging population has led to an increase in the prevalence of Alzheimer's disease (AD) and osteoporosis (OP), both of which significantly impair quality of life. The comorbid nature of these conditions suggests a shared genetic etiology, the understanding of which is crucial for developing targeted therapies. Objective This study aims to explore the shared genetic etiology underlying AD and OP, using a system biology approach to identify potential therapeutic targets and natural compounds for treatment. Methods We employed Weighted Gene Co-Expression Network Analysis (WGCNA) with molecular docking strategies to uncover the genetic links between AD and OP. MT2A and CACNA1C were identified as key pleiotropic hub genes potentially linking AD and OP. Molecular docking was utilized to screen for compounds with therapeutic potential, leading to the identification of formononetin as a compound with significant binding affinity to these hub genes. Quantitative real-time PCR (qRT-PCR) validation was conducted to confirm the gene expression changes in disease models. Results Our study indicate that formononetin exhibits strong binding affinity to the identified hub genes, MT2A and CACNA1C. qRT-PCR validation confirmed the upregulation of these genes in disease models, which was mitigated upon treatment with formononetin, suggesting a reversal of disease markers. Conclusions This study advances our understanding of the genetic intersections between AD and OP and positions formononetin as a promising natural agent for further translational research. Formononetin's multi-target potential makes it a valuable candidate for managing these comorbid conditions, meriting further investigation and development as a therapeutic strategy.