Effectiveness of Electroencephalography Neurofeedback for Improving Working Memory and Episodic Memory in the Elderly: A Meta-Analysis.

Background and Objective: Existing evidence indicates the potential benefits of electroencephalography neurofeedback (NFB) training for cognitive function. This study aims to comprehensively review all available evidence investigating the effectiveness of NFB on working memory (WM) and episodic memory (EM) in the elderly population. Material and Methods: A systematic search was conducted across five databases to identify clinical trials examining the impact of NFB on memory function in healthy elderly individuals or those with mild cognitive impairment (MCI). The co-primary outcomes focused on changes in WM and EM. Data synthesis was performed using a random-effects meta-analysis. Results: Fourteen clinical trials (n = 284) were included in the analysis. The findings revealed that NFB was associated with improved WM (k = 11, reported as Hedges' g = 0.665, 95% confidence [CI] = 0.473 to 0.858, p < 0.001) and EM (k = 12, 0.595, 0.333 to 0.856, p < 0.001) in the elderly, with moderate effect sizes. Subgroup analyses demonstrated that NFB had a positive impact on both WM and EM, not only in the healthy population (WM: k = 7, 0.495, 0.213 to 0.778, p = 0.001; EM: k = 6, 0.729, 0.483 to 0.976, p < 0.001) but also in those with MCI (WM: k = 6, 0.812, 0.549 to 1.074, p < 0.001; EM: k = 6, 0.503, 0.088 to 0.919, p = 0.018). Additionally, sufficient training time (totaling more than 300 min) was associated with a significant improvement in WM (k = 6, 0.743, 0.510 to 0.976, p < 0.001) and EM (k = 7, 0.516, 0.156 to 0.876, p = 0.005); however, such benefits were not observed in groups with inadequate training time. Conclusions: The results suggest that NFB is associated with enhancement of both WM and EM in both healthy and MCI elderly individuals, particularly when adequate training time (exceeding 300 min) is provided. These findings underscore the potential of NFB in dementia prevention or rehabilitation.

Study on the molecular mechanism of anti-liver cancer effect of Evodiae fructus by network pharmacology and QSAR model.

Introduction: Evodiae Fructus (EF) is the dried, near ripe fruit of Euodia rutaecarpa (Juss.) Benth in Rutaceae. Numerous studies have demonstrated its anti-liver cancer properties. However, the molecular mechanism of Evodiae fructus against liver cancer and its structure-activity connection still require clarification. Methods: We utilized network pharmacology and a QSAR (2- and 3-dimensional) model to study the anti-liver cancer effect of Evodiae fructus. First, by using network pharmacology to screen the active substances and targets of Evodiae fructus, we investigated the signaling pathways involved in the anti-liver cancer actions of Evodiae fructus. The 2D-QSAR pharmacophore model was then used to predict the pIC50 values of compounds. The hiphop method was used to create an ideal 3D-QSAR pharmacophore model for the prediction of Evodiae fructus compounds. Finally, molecular docking was used to validate the rationality of the pharmacophore, and molecular dynamics was used to disclose the stability of the compounds by assessing the trajectories in 10 ns using RMSD, RMSF, Rg, and hydrogen bonding metrics. Results: In total, 27 compounds were acquired from the TCMSP and TCM-ID databases, and 45 intersection targets were compiled using Venn diagrams. Network integration analysis was used in this study to identify SRC as a primary target. Key pathways were discovered by KEGG pathway analysis, including PD-L1 expression and PD-1 checkpoint pathway, EGFR tyrosine kinase inhibitor resistance, and ErbB signaling pathway. Using a 2D-QSAR pharmacophore model and the MLR approach to predict chemical activity, ten highly active compounds were found. Two hydrophobic features and one hydrogen bond acceptor feature in the 3D-QSAR pharmacophore model were validated by training set chemicals. The results of molecular docking revealed that 10 active compounds had better docking scores with SRC and were linked to residues via hydrogen and hydrophobic bonds. Molecular dynamics was used to show the structural stability of obacunone, beta-sitosterol, and sitosterol. Conclusion:Pharmacophore 01 has high selectivity and the ability to distinguish active and inactive compounds, which is the optimal model for this study. Obacunone has the optimal binding ability with SRC. The pharmacophore model proposed in this study provides theoretical support for further screening effective anti-cancer Chinese herbal compounds and optimizing the compound structure.

Revealing the mechanism of "Huai Hua San" in the treatment of ulcerative colitis based on network pharmacology and experimental study.

ETHNOPHARMACOLOGICAL RELEVANCE: "Huai Hua San" (HHS) is one of the first hundred ancient classic prescriptions drugs, which is commonly used to treat hemorrhoids, colitis, and other symptoms of wind heat in stool. However, the potential molecular mechanism of action of this substance remains unclear. AIMS OF THE STUDY: In this study, we explored the active compounds of HHS for the treatment of ulcerative colitis (UC), predicted the potential targets of the drug, and studied its mechanism of action through network pharmacology via in vitro and in vivo experiments. MATERIALS AND METHODS: First, we identified the active compounds and key targets of HHS for treating UC via network pharmacology. The key signaling pathways associated with the anti-inflammatory effect of HHS were analyzed. The anti-inflammatory effects of HHS and its active compounds were studied using the RAW264.7 inflammatory cell model in vitro. Furthermore, we used the dextran sulfate sodium (DSS) mouse model to explore the efficacy and mechanism of HHS in UC in vivo, and the expression level of key proteins were detected by Western blotting. RESULTS: In all, 23 compounds and 97 targets were obtained from TCMSP database, PharmMapper database, and GeneCards database. After enrichment via Kyoto Encyclopedia of Genes and Genomes (KEGG), HIF-1 signaling pathway, PI3K/AKT signaling pathway, and VEGF signaling pathway were identified to be the top three signaling pathways associated with UC treatment. The results of molecular docking showed that the docking scores of the top 10 active compounds were higher than the threshold values. In vitro, different concentrations of HHS and the four main active compounds could effectively inhibit the release of inflammatory cytokines interleukin (IL)-6, tumor necrosis factor (TNF)-α, and IL-1 ß. In vivo, HHS could alleviate UC symptoms. CONCLUSION: Taken together, the treatment of UC with HHS may alleviate the inflammatory response of the colon, and HHS mainly inhibits the EGFR/PI3K/AKT/HIF-1/VEGF signaling pathways.

Network pharmacology and molecular docking reveal the mechanism of Scopoletin against non-small cell lung cancer.

AIMS: Scopoletin is a natural anticarcinogenic and antiviral coumarin component. Many studies have proved its anti-cancer effect, and after the preliminary screening of this study, Scopoletin had the best inhibitory effect on Non-small cell lung cancer (NSCLC). But its mechanism for treating NSCLC is still unclear. Therefore, network pharmacology and molecular docking technology were used to explore the potential anti-NSCLC targets and pathways of Scopoletin. The results were verified in vitro. MAIN METHODS: First, Scopoletin was isolated from Fennel and screened to conduct cell proliferation assay on Human lung cancer cell line A549, Human colon cancer cell line HCT-116 and Human hepatoma cell line HepG2 respectively, through the MTT test. Then, the key targets and related pathways were screened through Protein-protein Interaction (PPI) network and "component-target-pathway" (C-TP) network constructed by network pharmacology. And the key targets were selected to dock with Scopoletin via molecular docking. A549 and Human normal lung epithelial cell BEAS-2B were used to verify the results, finally. KEY FINDINGS: Through MTT, A549 was chosen as the test cancer cell. From network pharmacology, 16 targets, 27 signaling pathways and 16 GO items were obtained (P < 0.05). The results of PPI network and molecular docking showed that EGFR, BRAF and AKT1 were the key targets of Scopoletin against NSCLC, which were consistent with the western-blot results. SIGNIFICANCE: Through network pharmacology, molecular docking and experiments in vitro, Scopoletin was verified to against NSCLC through RAS-RAF-MEK-ERK pathway and PI3K/AKT pathway.