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This study aimed to elucidate the sedative-hypnotic effects of a stem-derived bioactive fraction from Syringa oblata Lindl. (ZDX) and to reveal its underlying mechanisms, thereby providing a theoretical and practical basis for the development of new sleep aid drugs. ZDX was prepared by optimizing the extraction and purification procedures. Using UPLC-Q-TOF-MS, the prototype compounds absorbed into the brain of insomnia mice were analyzed, and 15 bioactive compounds were identified or predicted, including Dihydrocubebin, (-)-Cubebin, Isoguamarol, and others. Its efficacy and mechanisms were investigated using network pharmacology, transcriptomics, metabolomics, and molecular docking, complemented by in vivo pharmacodynamic and molecular analyses. In an insomnia mouse model, ZDX significantly increased body weight, reduced sleep latency, and prolonged total sleep duration, while alleviating anxiety and depression-like behaviors and improving histopathological damage in the hippocampus and hypothalamus, showing significant sedative-hypnotic effects. Mechanistically, ZDX modulated key genes and proteins involved in the cAMP signaling pathway, enhanced superoxide dismutase activity, reduced malondialdehyde levels, decreased inflammatory cytokines (IL-6, IL-1β, and TNF-α), and restored neurotransmitter homeostasis in the brain. Collectively, ZDX exerts sedative-hypnotic effects, at least in part, by activating the cAMP/PKA-CREB-BDNF axis and coordinately regulating neurotransmission, oxidative stress, and inflammation. Show less

Growing evidence implicates accelerated biological aging in environmentally induced psychiatric disorders, yet its role in metal-associated depression remains unclear. Using NHANES data, we evaluated associations between heavy metal mixtures and depression. Bidirectional mediation analysis was used to assess reciprocal pathways linking heavy metals, biological aging, and depression. Simultaneously, candidate genes linking heavy metal exposure to depression and biological aging were identified by mining the Comparative Toxicogenomics Database, analyzing differentially expressed genes (DEGs) from the Gene Expression Omnibus, and integrating the resulting evidence within a toxicogenomic framework to explore potential molecular mechanisms. The prevalence of depression among participants was 8.66 %. Metal mixtures significantly increased depression risk. Notably, cadmium and antimony increased the risk of depression (OR: 1.52, 95 % CI: 1.19, 1.94 and OR: 1.54, 95 % CI: 1.22, 1.93). Both metals have low thresholds (0.227 μg/L and 0.053 μg/L, respectively). Additionally, lead, cobalt, and molybdenum showed positive associations in specific models. Although population-level exposure to heavy metals declined from 1999 to 2020, concentrations remained sufficient to elevate depression risk. Our correlation analysis also identified a strong correlation between PhenoAge and chronological age (r = 0.84, P < 0.001). Mechanistically, we found that accelerated PhenoAge partially mediated the associations of several metals with depression risk, including monomethylarsonic acid (β = 0.004; 95 %CI: 0.003,0.006), cadmium (β = 0.006; 95 %CI: 0.003, 0.010), lead (β = 0.009; 95 %CI: 0.006, 0.011), cobalt (β = 0.010; 95 %CI: 0.006, 0.013), molybdenum (β = 0.009; 95 %CI: 0.006, 0.011), and antimony (β = 0.008; 95 %CI: 0.005, 0.011). Pathway analysis and DEGs implicated the contribution of neurodegeneration-multiple diseases pathway, with core molecular targets centering on BDNF, IL6, GSK3B, PTGS2, and SOD1. These findings, which imply biological aging as a potential link between metal exposure and depression, call for revised safety thresholds and pinpoint molecular targets for intervention. Show less