Targeting peroxisome proliferator-activated receptor γ proteasomal degradation by magnolol is a potential avenue for adipogenesis-mediated metabolic homeostasis.

OBJECTIVE: Adipogenesis has been recognized as an attractive avenue for maintaining systemic homeostasis, with peroxisome proliferator-activated receptor γ (PPARγ) showing predominant roles in this process. This study aims to identify promising drug candidates by targeting PPARγ for adipogenesis-based metabolic homeostasis and to clarify the detailed mechanisms. METHODS: Molecular events contributing to adipogenesis were screened, which identified PPARγ as having the predominant role. Promising agents of adipogenesis agonism were screened using a PPARγ-based luciferase reporter assay. The functional capacity and molecular mechanisms of magnolol were intensively examined using 3T3-L1 preadipocytes and dietary models. RESULTS: This study found that F-box only protein 9 (FBXO9)-mediated lysine 11 (K11)-linked ubiquitination and proteasomal degradation of PPARγ are critically required during adipogenesis and systemic homeostasis. Notably, magnolol was identified as a potent adipogenesis activator by stabilizing PPARγ. The pharmacological mechanisms investigations clarified that magnolol directly binds to PPARγ and markedly interrupts its interaction with FBXO9, leading to a decline in K11-linked ubiquitination and proteasomal degradation of PPARγ. Clinically important, magnolol treatment significantly facilitates adipogenesis in vitro and in vivo. CONCLUSIONS: The downregulation of K11-linked ubiquitination of PPARγ caused by FBOX9 is essentially required for adipogenesis, while targeting PPARγ-FBXO9 interaction provides a new avenue for the therapy of adipogenesis-related metabolic disorder.

Network-based analysis identifies key regulatory transcription factors involved in skin aging.

Skin aging is a complex process involving intricate genetic and environmental factors. In this study, we performed a comprehensive analysis of the transcriptional regulatory landscape of skin aging in canines. Weighted Gene Co-expression Network Analysis (WGCNA) was employed to identify aging-related gene modules. We subsequently validated the expression changes of these module genes in single-cell RNA sequencing (scRNA-seq) data of human aging skin. Notably, basal cell (BC), spinous cell (SC), mitotic cell (MC), and fibroblast (FB) were identified as the cell types with the most significant gene expression changes during aging. By integrating GENIE3 and RcisTarget, we constructed gene regulation networks (GRNs) for aging-related modules and identified core transcription factors (TFs) by intersecting significantly enriched TFs within the GRNs with hub TFs from WGCNA analysis, revealing key regulators of skin aging. Furthermore, we demonstrated the conserved role of CTCF and RAD21 in skin aging using an H2O2-stimulated cell aging model in HaCaT cells. Our findings provide new insights into the transcriptional regulatory landscape of skin aging and unveil potential targets for future intervention strategies against age-related skin disorders in both canines and humans.