Exploring the molecular biological mechanism of Shugan Jianpi Decoction in the treatment of depression-related breast cancer based on network pharmacology

Objective:To explore the molecular biological mechanism of Shugan Jianpi Decoction in treating depression-related breast cancer based on network pharmacology.Methods:The active compounds of Shugan Jianpi Decoction were explored to obtain their drug targets,and the venny network,"TCM-component-target"network,PPI network,"pathway-gene"network,GO and KEGG enrichment results were constructed using relevant softwares.Results:A total of 121 active ingredients,250 genes,2357 GO functions and 184 KEGG pathways were obtained.Conclusion:The active ingredients of Shugan Jianpi Decoction are quercetinll、kaempferol、luteolin、naringenin.The key targets are MAPK1,MAPK3,RELA,and AKT1.GO functions include cellular response to hormone stimulus、cellular response to lipid、cellular response to oxidative stress and so on.KEGG mainly involves PI3K-Akt,microRNAs,and FoxO signaling pathways.This study preliminarily explores the molecular biological mechanism of Shugan Jianpi Decoction in the treatment of depression-related breast cancer,and speculates that it mainly acts by arresting the cell cycle,inhibiting cancer cell proliferation,mediating cancer cell apoptosis,and preventing its recurrence and metastasis,which provides new evidence and new direction for subsequent clinical application and experimental research.

Classification of musical hallucinations and the characters along with neural-molecular mechanisms of musical hallucinations associated with psychiatric disorders

BACKGROUND Musical hallucinations(MH)involve the false perception of music in the absence of external stimuli which links with different etiologies.The pathomechanisms of MH encompass various conditions.The etiological classification of MH is of particular importance and offers valuable insights to understand MH,and further to develop the effective treatment of MH.Over the recent decades,more MH cases have been reported,revealing newly identified medical and psychiatric causes of MH.Functional imaging studies reveal that MH activates a wide array of brain regions.An up-to-date analysis on MH,especially on MH comorbid psychiatric conditions is warranted.AIM To propose a new classification of MH;to study the age and gender differences of MH in mental disorders;and neuropathology of MH.METHODS Literatures searches were conducted using keywords such as“music hallucination,”“music hallucination and mental illness,”“music hallucination and gender difference,”and“music hallucination and psychiatric disease”in the databases of PubMed,Google Scholar,and Web of Science.MH cases were collected and categorized based on their etiologies.The t-test and ANOVA were employed(P<0.05)to compare the age differences of MH different etiological groups.Function neuroimaging studies of neural networks regulating MH and their possible molecular mechanisms were discussed.RESULTS Among the 357 yielded publications,294 MH cases were collected.The average age of MH cases was 67.9 years,with a predominance of females(66.8%females vs 33.2%males).MH was classified into eight groups based on their etiological mechanisms.Statistical analysis of MH cases indicates varying associations with psychiatric diagnoses.CONCLUSION We carried out a more comprehensive review of MH studies.For the first time according to our knowledge,we demonstrated the psychiatric conditions linked and/or associated with MH from statistical,biological and molecular point of view.

Biological effect and molecular mechanism study of biomaterials based on proteomic research

Along with the role transformation of biomaterials from bioinert substitute to regenerative inducer, the biological effect and mechanism of material-organism interaction become more important. Since most of animal tests and cellular experiments stay on the phenomenon description instead of mechanism interpretation, the development of proteomics technologies provides a golden opportunity to uncover the molecular interaction mechanism between biomaterial-organism on whole scale. This review summarizes current application of proteomics in biological effect and mechanism study of biomaterials, and discusses the development and challenges for future studies.