Depression, characterized by an overwhelming feeling of sadness and hopelessness, has become a leading cause of global disease burden that contributes to suicide and ischemic heart disease. Based on the data recently released by the World Health Organization (WHO), more than 300 million people suffering from depression globally. Pharmacological therapy is one of the mainstream treatments for depression, whereas current antidepressants such as selective serotonin reuptake inhibitors (SSRIs) are not universally effective and have obvious side effects. Globally, local and traditional medicines have been widely used in the management of depression and specific symptoms. For example, for over 2,500 years Traditional Chinese medicines (TCMs) have played an important role in treating conditions linked to depression and specifical repression of anger and distress. With the modernization of TCMs, there is a push for the pharmacological assessment of these medicines. Some TCMs have been documented to relieve these symptoms and thus are considered to be effective in treating depression
Genomics is a cross biology discipline in which all genes of an organism are collectively characterized, quantitatively studied, and the comparative study of different genomes. Genomics focuses on the structure, function, evolution, localization, editing of genomes, and their impact on organisms. Proteomics essentially refers to the study of the characteristics of a protein at the large-scale level, including the expression level of the protein, post-translational modifications, protein-protein interactions, thereby obtaining a holistic and comprehensive understanding of processes, such as disease occurrence and cellular metabolism, at the protein level. Metabolomics, which emulates the idea of genomics and proteomics, is how all metabolites in an organism are quantitatively analyzed and the relative relationship of metabolites to physiopathological changes is looked for and is an integral part of systems biology. Based on the currently existing research progress, this research topic is dedicated to exploring the antidepressant mechanisms of natural products by technological means including but not limited to genomics, proteomics, metabolomics.
Based on the above background and needs, the purpose of this Research Topic is to stimulate researchers around the world, working on natural products, to submit to this collection. We welcome ethnopharmacological manuscripts focusing on any local or traditional medical system of the world and invite reviews, research articles, or clinical trials regarding the use of multi-omics approaches to probe natural products and/or naturally derived compounds as antidepressant mechanisms for the treatment of depression and anxiety. Experiments need to comply with the best practice guidelines of the leading journals for pharmacological studies on plant extract / natural products including the
Four Pillars of Best Practice in Ethnopharmacology (you can freely download the full version
here).
Depression, characterized by an overwhelming feeling of sadness and hopelessness, has become a leading cause of global disease burden that contributes to suicide and ischemic heart disease. Based on the data recently released by the World Health Organization (WHO), more than 300 million people suffering from depression globally. Pharmacological therapy is one of the mainstream treatments for depression, whereas current antidepressants such as selective serotonin reuptake inhibitors (SSRIs) are not universally effective and have obvious side effects. Globally, local and traditional medicines have been widely used in the management of depression and specific symptoms. For example, for over 2,500 years Traditional Chinese medicines (TCMs) have played an important role in treating conditions linked to depression and specifical repression of anger and distress. With the modernization of TCMs, there is a push for the pharmacological assessment of these medicines. Some TCMs have been documented to relieve these symptoms and thus are considered to be effective in treating depression
Genomics is a cross biology discipline in which all genes of an organism are collectively characterized, quantitatively studied, and the comparative study of different genomes. Genomics focuses on the structure, function, evolution, localization, editing of genomes, and their impact on organisms. Proteomics essentially refers to the study of the characteristics of a protein at the large-scale level, including the expression level of the protein, post-translational modifications, protein-protein interactions, thereby obtaining a holistic and comprehensive understanding of processes, such as disease occurrence and cellular metabolism, at the protein level. Metabolomics, which emulates the idea of genomics and proteomics, is how all metabolites in an organism are quantitatively analyzed and the relative relationship of metabolites to physiopathological changes is looked for and is an integral part of systems biology. Based on the currently existing research progress, this research topic is dedicated to exploring the antidepressant mechanisms of natural products by technological means including but not limited to genomics, proteomics, metabolomics.
Based on the above background and needs, the purpose of this Research Topic is to stimulate researchers around the world, working on natural products, to submit to this collection. We welcome ethnopharmacological manuscripts focusing on any local or traditional medical system of the world and invite reviews, research articles, or clinical trials regarding the use of multi-omics approaches to probe natural products and/or naturally derived compounds as antidepressant mechanisms for the treatment of depression and anxiety. Experiments need to comply with the best practice guidelines of the leading journals for pharmacological studies on plant extract / natural products including the
Four Pillars of Best Practice in Ethnopharmacology (you can freely download the full version
here).
