Research on neuroimmune regulatory mechanisms and intervention strategies for chronic insomnia based on network pharmacology.

BACKGROUND

Chronic insomnia impairs health-related quality of life and current pharmacotherapies carry substantial adverse-effect profiles, prompting the search for safer multi-target interventions. Kong Sheng Pillow Zhongdan (KSPZ), a classical herbal formula, is empirically used for sleep disturbance, yet its molecular basis remains unclear.

OBJECTIVES

To elucidate the putative mechanisms of KSPZ against chronic insomnia through a network-pharmacology approach and to prioritise targets for experimental validation.

METHODS

Active compounds were retrieved from TCMSP, HIT2.0 and TCMIP and filtered by oral bioavailability ≥30% and blood-brain barrier permeability ≥-0.3. Insomnia-related genes were collected from DisGeNET, GeneCards and OMIM. Overlapping targets defined the "core prescription-insomnia" interactome (126 genes). Protein-protein interaction networks were constructed with STRING and hub nodes identified by CytoHubba. GO, KEGG and Reactome enrichment analyses were performed with clusterProfiler; key ligand-target pairs were evaluated by AutoDock Vina. A drug-ingredient-target-disease network was visualised in Cytoscape.

RESULTS

Twenty-eight bioactive compounds (e.g., quercetin, kaempferol, luteolin) were mapped to 126 shared targets enriched in neuro-inflammation (IL-17, TNF, NF-κB), serotonergic and dopaminergic synapses, circadian rhythm and cAMP signalling. Top hub genes included TNF, IL6, AKT1, PTGS2, BDNF and DRD2. Molecular docking showed high affinities (ΔG ≤ -8.5 kcal mol) for quercetin-GABRA1, kaempferol-HTR2A and luteolin-BDNF complexes, supporting modulatory effects on inhibitory/excitatory neurotransmission and neuroplasticity.

CONCLUSION

KSPZ exerts multi-level effects on neuro-immune regulation, inflammation and circadian pathways, providing a rational basis for its empirical use in chronic insomnia. In-vivo validation of the predicted neurotransmitter and cytokine targets is warranted to translate these network findings into clinical applications.