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Epilepsy is a debilitating neurological disorder that impacts approximately 50 million people worldwide. The treatment of epilepsy with antiepileptic drugs has not achieved effective seizure management and thus requires new therapeutic options. This study investigated the catechins' affect on epilepsy-related molecular targets using a computational method that combined network pharmacology, molecular docking, and molecular dynamics (MDs) simulation. We fetched 84 catechins-related and 5356 disease-associated targets from various databases, yielding 31 common targets. The protein-protein interaction (PPI) network of 31 common targets identified 10 hub genes, including ALB, INS, brain-derived neurotrophic factor (BDNF), PTGS2, tumor necrosis factor (TNF), IL1B, FOS, IL6, LEP, and FGF2. Further, the functional enrichment analysis revealed that these common targets have a high prevalence in multiple pathways and gene ontology functions. Furthermore, "compound-target" and "compound-gene-pathway" networks were constructed and analyzed. Network pharmacology data show TNF, IL1B, and IL6 could influence epilepsy treatment by regulating several pathways. The Cresset Flare Pro+ docking study unveiled that the lead catechin, epigallocatechin gallate (EGCG), exhibited the highest Lead Finder (LF) dG scores of -10.2, -9.40, and -8.15 kcal/mol against TNF, IL6, and IL1B, respectively. The electrostatic complementarity and Molecular Mechanics with Generalized Born and surface area (MMGBSA) results supported the docking results. Further, the stability of EGCG-bound complexes was analyzed using a 300 ns MD simulation. The principal component analysis yielded promising results for the EGCG-2AZ5 and EGCG-1ALU complexes collective motion. These findings provide computational evidence suggesting that EGCG has a promising scaffold for designing multi-target molecules that could modulate epilepsy, meriting further experimental validation. Show less

This study aims to elucidate the pharmacological basis and antidepressant mechanisms of a combined extract from Eucommia ulmoides Oliv. And Gastrodia elata Bl. (Eucommia-Gastrodia extract), employing an integrated strategy that combines UHPLC-QTOF-MS analysis, network pharmacology, molecular docking, and in vivo validation. This research integrated computational approaches network pharmacology, molecular docking and in vivo experimental investigations. Initially, the active constituents of the EGE were identified through ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS). Potential targets related to depression were predicted using the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP) and SwissADME. Protein-protein interaction (PPI) networks were constructed via the STRING database, followed by the development of a comprehensive "drug-active ingredient-target-disease" network. Functional annotation through Gene Ontology (GO) and pathway enrichment analysis based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) were conducted on the intersecting targets using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). Molecular docking studies were erformed employing AutoDock software to validate the interactions. Finally, the antidepressant-like behavioral effects were evaluated in treated and non-treated corticosterone-induced mouse models using sucrose preference tests, forced swimming tests, open field tests, and tail suspension tests. The morphological impacts and molecular basis of disease on the hippocampal neurons were assessed using Hematoxylin and Eosin staining (HE) staining, Nissl staining, immunohistochemistry, and Western blot analysis to substantiate the identified through network pharmacology. Network pharmacology analysis revealed a complex interplay between identified active ingredients of Eucommia-Gastrodia extract and depression targets. From an initial pool of 131 active components, 34 identified as interacting with 233 shared depression related molecular targets. These targets were involved in 390 biological processes (BP), 60 cellular compounds (CC), 134 molecular functions (MF), and 148 KEGG-enriched signaling pathways. Molecular docking studies highlighted 20 principal compounds that bind to key targets such as AKT1, SRC, HIF-1, CREB, BDNF, and EPO. The Eucommia-Gastrodia extract alleviated depression like behaviors in a cortisol-induced mouse model, as indicated by increased sucrose preference and mobility time, etc. Additionally, the extract restored the levels of neurotransmitters 5-hydroxytryptamine (5-HT) and dopamine (DA), alleviated hippocampal neuronal damage, and increased the positive expression of EPO and BDNF in the hippocampus. Furthermore, treatment with the extract significantly upregulated the protein expression of HIF-1, EPO, EPOR, CREB, p-CREB, BDNF and p-TrkB, which were otherwise downregulated in cortisol-induced depressive mice. The results indicate that the Eucommia-Gastrodia extract containing bioactive compounds such as oxysophocarpine, aucubin, pinoresinol, leonurine, syringaresinol, formononetin, icaritin, casticin, and 6-gingerol mitigates cortisol-induced neurodegeneration and depressive-like behaviors. This effect is mediated through modulation of the of HIF-1α-EPO/cAMP-CREB-BDNF signaling pathways. Show less

Compound Nujia honey paste (Nujia), a classic formulation from Traditional Uyghur Medicine, has been historically used for depression treatment and is listed in the Catalog of Ancient Classical Famous Formulas issued by the National Administration of Traditional Chinese Medicine and the National Medical Products Administration. Clarifying its pharmacodynamic material basis is essential for understanding its efficacy, yet this remains incompletely characterized. This study aimed to systematically elucidate Nujia's antidepressant efficacy and mechanisms by combining chemical analysis, computational prediction, and experimental validation in a CUMS rat model, providing a comprehensive approach to understanding its action. This study employed LC/MS to analyze the chemical constituents and blood-absorbed compounds of Nujia. This was combined with network pharmacology and molecular docking to predict and verify its potential antidepressant targets and signaling pathways. Using behavioral tests, ELISA, histopathology, Western blot, and qRT-PCR in a CUMS rat model, the research thoroughly evaluated Nujia's therapeutic effects and mechanisms, fostering trust in the findings. In this study, LC/MS analysis identified 124 chemical constituents from Nujia, and further analysis determined 26 blood-absorbed compounds (including 10 prototype compounds). Network pharmacology analysis revealed that its potential antidepressant effects are closely associated with core targets such as AKT1 and TNF, a prediction subsequently verified by molecular docking results. In the CUMS-induced rat model of depression, intervention with Nujia significantly ameliorated depression-like behaviors in the animals and alleviated neuropathological damage in the hippocampus and prefrontal cortex. Mechanistic investigations revealed that Nujia upregulated the levels of monoamine neurotransmitters (5-HT, DA, NE) and neurotrophic factors (BDNF, NGF) in serum, while downregulating the expression of pro-inflammatory cytokines (TNF-α, IL-1β, IL-6, IL-18). Further molecular experiments confirmed that Nujia likely mitigates neuroinflammation by inhibiting the TNF-α/NF-κB signaling pathway, and inhibits neuronal apoptosis by activating the PI3K/AKT signaling pathway and its downstream anti-apoptotic proteins. Furthermore, Nujia significantly upregulated the expression of key synaptic plasticity proteins (SYP, GAP43, and PSD95) in hippocampal tissue, thereby enhancing synaptic structure and function. These findings underscore the complex, multi-target mechanisms underlying Nujia's antidepressant effects, encouraging further exploration of its therapeutic potential. This study systematically elucidates that Nujia achieves its antidepressant therapeutic effects by mediating multi-pathway synergistic actions, including but not limited to the TNF-α/NF-κB and PI3K/AKT signaling pathways, to ameliorate neuroinflammation, attenuate apoptosis, and enhance synaptic plasticity. Show less

In this study, we investigated the effects and molecular mechanisms by which Scutellaria barbata flavonoids (SBFs) enhance neurogenesis and ameliorate memory impairment mediated by CREB phosphorylation in rats, using a network pharmacology approach. The active ingredients of SBFs and their targets were identified using the Traditional Chinese Medicine Systems Pharmacology platform. An Alzheimer's disease (AD) model was established by intracerebroventricular injection of Aβ25-35 combined with AlCl₃ and RHTGF-β1 (composited Aβ) in rats. The Morris water maze was used to confirm the successful establishment of the AD rat model. Successfully modeled rats were randomly divided into three groups: a model group and two treatment groups receiving either 140 mg/kg SBFs or 0.5 mg/kg Rolipram (positive control). After 38 days, the Morris water maze test was performed to assess learning and memory abilities. Hematoxylin-eosin (HE) staining, immunohistochemistry, quantitative PCR (qPCR), and Western blotting (WB) were conducted to evaluate neuronal morphology, NeuN protein expression, the mRNA levels of TrkB, RSK, CREB, and BDNF, and the protein expression of NeuN, TrkB, RSK, P-CREB-Ser133, and BDNF in the hippocampus and cerebral cortex of the rats. These results indicate that SBFs and Rolipram ameliorate learning and memory impairment, reduce neuropathological changes, promote neurogenesis, and upregulate the BDNF- RSK-CREB signaling pathway through the activation of CREB phosphorylation. The findings suggest that the effects of SBFs are similar to those of Rolipram and that SBFs may also act as activators of CREB phosphorylation. Overall, SBFs promote neurogenesis and improve learning and memory deficits, possibly by enhancing CREB phosphorylation. This study identified the key targets and signaling pathways of SBFs in AD, indicating that SBFs represent a promising multitarget therapeutic candidate for the treatment of AD. However, our research has some limitations. Further studies are needed to determine the absorption route, major active components, and metabolic forms of the bioactive substances in SBFs. In future work, we aim to clarify the potential mechanisms of SBFs in AD by integrating multiple omics approaches and to evaluate the safety and efficacy of SBFs in AD treatment. Thirty-seven targets were identified based on the intersection between AD-related targets and the components of SBFs. SBFs were involved in anti-AD activity through the MAPK signaling pathway, including the BDNF-RSK-CREB pathway. SBFs attenuated memory impairment, ameliorated neuropathological changes, increased NeuN protein expression, and regulated the mRNA expression of TrkB, RSK, CREB, and BDNF, as well as the protein expression of NeuN, TrkB, RSK, P-CREB-Ser133, and BDNF. Rolipram produced similar effects to SBFs. Network pharmacology analysis and animal experiments confirmed that SBFs promote neurogenesis and ameliorate learning and memory impairment in AD model rats, primarily by facilitating CREB phosphorylation, similar to Rolipram. This study indicates that SBFs may be a promising therapeutic candidate for the treatment of AD. Show less

p-Synephrine (p-Syn), a natural alkaloid isolated from Citrus aurantium L., promotes fat oxidation and is therefore widely used as a weight loss dietary supplement. It was recently reported to exert a potent antidepressant effect. However, its molecular targets remain undefined. Gastrodin (Gas), extracted from Gastrodia elata Blume, exerts antidepressant effects by targeting Melatonin Receptor 1A (MT This study aimed to evaluate whether MT Network pharmacology was applied to predict potential targets and associated signaling pathways for p-Syn and Gas. Molecular Docking simulations were employed to predict the possible binding sites of MT Using a network pharmacology approach and in vitro assays, we found that both p-Syn and Gas bind to MT1, activate the ERK/CREB signaling pathway, and up-regulate BDNF. In vivo assays showed that p-Syn alleviated Reserpine (Res)-induced depression-like symptoms in AB zebrafish larvae and C57 mice. Furthermore, p-Syn and Gas showed a remarkable synergistic effect. This study identifies a novel target for p-Syn and provides new insights into the antidepressant mechanisms of p-Syn and Gas that may contribute to the clinical application of these compounds in the development of new drugs for the treatment of depression. Show less