Identification of potential Mitogen-Activated Protein Kinase-related key genes and regulation networks in molecular subtypes of major depressive disorder

Mutational landscape of risk variants in comorbid depression and obesity: a next-generation sequencing approach

Major depression (MD) and obesity are complex genetic disorders that are frequently comorbid. However, the study of both diseases concurrently remains poorly addressed and therefore the underlying genetic mechanisms involved in this comorbidity remain largely unknown. Here we examine the contribution of common and rare variants to this comorbidity through a next-generation sequencing (NGS) approach. Specific genomic regions of interest in MD and obesity were sequenced in a group of 654 individuals from the PISMA-ep epidemiological study. We obtained variants across the entire frequency spectrum and assessed their association with comorbid MD and obesity, both at variant and gene levels. We identified 55 independent common variants and a burden of rare variants in 4 genes (PARK2, FGF21, HIST1H3D and RSRC1) associated with the comorbid phenotype. Follow-up analyses revealed significantly enriched gene-sets associated with biological processes and pathways involved in metabolic dysregulation, hormone signaling and cell cycle regulation. Our results suggest that, while risk variants specific to the comorbid phenotype have been identified, the genes functionally impacted by the risk variants share cell biological processes and signaling pathways with MD and obesity phenotypes separately. To the best of our knowledge, this is the first study involving a targeted sequencing approach toward the study of the comorbid MD and obesity. The framework presented here allowed a deep characterization of the genetics of the co-occurring MD and obesity, revealing insights into the mutational and functional profile that underlies this comorbidity and contributing to a better understanding of the relationship between these two disabling disorders.

Exploring the possible therapeutic mechanism of Danzhixiaoyao pills in depression and MAFLD based on "Homotherapy for heteropathy": A network pharmacology and molecular docking

Objective

Danzhixiaoyao pills (DXP) is a traditional Chinese medicine formula that has been effectively used in clinical practice to treat depression and metabolic associated fatty liver disease (MAFLD), but its therapeutic mechanism is not yet clear. The purpose of this study is to explore the possible mechanisms of DXP in treating depression and MAFLD using network pharmacology and molecular docking techniques based on existing literature reports.

Methods

By combining TCMSP, Swiss ADME, Swiss TargetPrediction, and UniProt databases, the active ingredients and potential targets of DXP were screened and obtained. By searching for relevant disease targets through Gene Cards, OMIM, and TTD databases, intersection targets between drugs and diseases were obtained. The network of "Disease - Potential targets - Active ingredients - Traditional Chinese medicine - Prescriptions" was constructed using Cytoscape 3.9.1 software, and the PPI network was constructed using STRING 12.0 database. The core targets were obtained through topology analysis. GO function enrichment and KEGG pathway enrichment analysis were conducted based on DAVID. The above results were validated by molecular docking using PyMol 2.5 and AutoDock Tool 1.5.7 software, and their possible therapeutic mechanisms were discussed.

Results

Network pharmacology analysis obtained 130 main active ingredients of drugs, 173 intersection targets between drugs and diseases, and 37 core targets. Enrichment analysis obtained 1390 GO functional enrichment results, of which 922 were related to biological process, 107 were related to cellular component, 174 were related to molecular function, and obtained 180 KEGG pathways. Molecular docking has confirmed the good binding ability between relevant components and targets, and the literature discussion has preliminarily verified the above results.

Conclusion

DXP can act on targets such as TNF, AKT1, ALB, IL1B, TP53 through active ingredients such as kaempferol, quercetin, naringenin, isorhamnetin, glyuranolide, etc, and by regulating signaling pathways such as pathways in cancer, MAPK signaling pathway, lipid and atherosclerosis, to exert its effect of "homotherapy for heteropathy" on depression and MAFLD. In addition, glyuranolide showed the strongest affinity with TNF (-7.88 kcal/mol), suggesting that it may play a key role in the treatment process. The research results provide a theoretical basis for elucidating the scientific connotation and mechanism of action of traditional Chinese medicine compound DXP, and provide new directions for its clinical application.

Clarification of the molecular mechanisms underlying glyphosate-induced major depressive disorder: a network toxicology approach

Major depressive disorder (MDD) is predicted to become the second most common cause of disability in the near future. Exposure to glyphosate (Gly)-based herbicides has been linked to the onset of MDD. However, the underlying mechanisms remain unclear. The aim of this study was to investigate the potential molecular mechanisms of MDD induced by Gly using network toxicology approach. The MDD dataset GSE76826 from the Gene Expression Omnibus database was referenced to identify differentially expressed genes (DEGs) in peripheral blood leukocytes of MDD patients and controls. The potential intersection targets of Gly-induced MDD were screened by network toxicology. The intersection targets were used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and to construct protein-protein interaction networks. The binding potentials of hub targets with Gly were validated by molecular docking. In total, 1216 DEGs associated with Gly-induced MDD were identified. Subsequent network pharmacology further refined the search to 43 targets. GO and KEGG enrichment analyses revealed multiple signaling pathways involved in GLY-induced MDD. Six potential core targets (CD40, FOXO3, FOS, IL6, TP53, and VEGFA) were identified. Finally, molecular docking demonstrated that Gly exhibited strong binding affinity to the core targets. The results of this study identified potential molecular mechanisms underlying Gly induced MDD and provided new insights for prevention and treatment.