Background: Depression in Chronic Kidney Disease (CKD) seriously affects the prognosis of patients and Modified Danggui-Shaoyao-San (MDSS) is based on the traditional Chinese formula Danggui-Shaoyao-San (DSS) for the treatment of depression, which is further optimized. The aim of this study was to evaluate the clinical efficacy and safety of MDSS for the treatment of depression in CKD, and to explain the molecular mechanism of MDSS for the treatment of depression in CKD through pharmacology and molecular docking.
Methods: 62 patients were randomly divided into treatment group (treated with MDSS) and control group (treated with placebo) and assessed by Hamilton Depression Scale, and the primary outcome was to evaluate the efficacy of MDSS in improving depressive symptoms and the effect on liver and kidney function, electrolytes. In addition, we identified the core compounds and potential targets of MDSS through the TCMSP database. The GeneCards, OMIM and Disgenet databases were then used to identify molecular targets for CKD and depression. The target protein-protein interaction network was built using STRING database. Core targets were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Molecular docking was used to verify the relationship between core active compounds and proteins.
Results: Clinical results showed that CKD patients in the MDSS group had significantly improved depressive status with no significant adverse effects. By network pharmacology analysis, we found that the compound-target network mainly contained 47 compounds and 69 corresponding targets. 844 terms were analyzed by GO enrichment, and 254 signaling pathways in KEGG. Molecular docking showed that the top active compounds had high affinity with four targets.
Conclusion: We preliminarily investigated the efficacy of MDSS in the treatment of depression in CKD and revealed the characteristics of multiple compounds and multiple targets in MDSS.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675992 | PMC |
| http://dx.doi.org/10.2147/DDDT.S387677 | DOI Listing |
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