Evidence-Based Complementary and Alternative Medicine

Neurotransmitters, Synaptic Plasticity, Circulating Extracellular Vesicles, and Epigenetics in Herbal Therapies of Depression


Publishing date
01 Dec 2021
Status
Published
Submission deadline
23 Jul 2021

Lead Editor

1Beijing University of Chinese Medicine, Beijing, China

2Hong Kong Baptist University, Hong Kong

3Jinan University, Guangzhou, China

4Johns Hopkins University, Baltimore, USA


Neurotransmitters, Synaptic Plasticity, Circulating Extracellular Vesicles, and Epigenetics in Herbal Therapies of Depression

Description

Depression is a common mental disorder that seriously harms human physical and mental health. As society develops, the increase in daily pressures and the role of various other factors have made the incidence of depression increase year by year. However, there is a lack of drugs to treat depression that have a fast onset, significant effects, and few side effects. Some traditional natural herbal medicines are used to relieve depression and calm emotions. A growing number of studies have shown that herbal therapies for depression can be considered as potential rehabilitation approaches, especially natural products and herbal formulas, which provide a new perspective for the treatment of depression.

Neurotransmitters, synaptic plasticity, circulating extracellular vesicles, and epigenetic mechanisms play important roles in the altered processing in depression. Pathological changes in synaptic plasticity impair synaptic computation, which controls the information flow through the release of neurotransmitters for the complex information processing necessary to drive adaptive behaviors. On a molecular level, modifications in the neuronal epigenome mediate gene-environmental interactions, which are required for activity-dependent regulation of release of neurotransmitters and synaptic plasticity. Therefore, neurotransmitters, synaptic plasticity, and epigenetic mechanisms play important roles in the pathogenesis and therapeutic targets of depression and depressive behavior from macro- to micro-levels.

The aim of this Special Issue is to collate a range of clinical research and experimental studies on the role of neurotransmitters, synaptic plasticity, and epigenetic mechanisms in relation to herbal therapies, including natural products and herbal formulas, for the treatment of depression. We also welcome high-level reviews on the mechanisms of herbal therapies for depression.

Potential topics include but are not limited to the following:

  • Natural products and herbal formulas of neuromodulation for depression and depressive behaviors
  • Herbal medicines for effective neuromodulation of neurotransmitters
  • Neuromodulation of synaptic plasticity using herbal medicine approaches
  • Epigenetic mechanisms of neuromodulation via herbal medicines
  • Complementary and Alternative Therapies in depression treatment
  • Correspondence between formulas and pattern in depression treatment
  • Evidence-based pattern syndrome: herbal medicine in depression treatment
  • Pharmacogenomic evaluation of herbal drugs for depression
  • Natural compounds as effective neuromodulators of neurotransmission and depression
  • Network pharmacology of herbal medicines for depression and neurotransmitter modulation
  • Circulating Extracellular Vesicles of neuromodulation via herbal medicines and natural products
  • Cell and animal models in herbal medicine treatment of depression

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 5992394
  • - Research Article

Molecular Mechanism of Salvia miltiorrhiza Bunge in Treating Cerebral Infarction

Xietao Ye | Jiali Liu | ... | Yan Chen
  • Special Issue
  • - Volume 2022
  • - Article ID 6847917
  • - Review Article

Combination of Stem Cells with Chinese Herbs for Secondary Depression in Neurodegenerative Diseases Based on Traditional Chinese Medicine Theories

Jiahao Feng | Li Liao | ... | Jun Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 7265769
  • - Research Article

A Network Meta-Analysis of the Clinical Efficacy and Safety of Commonly Used Chinese Patent Medicines in the Auxiliary Treatment of Poststroke Depression

Ying Yu | Gong Zhang | ... | Hailiang Huang
  • Special Issue
  • - Volume 2021
  • - Article ID 2165632
  • - Research Article

Identification of Potential Biomarkers of Depression and Network Pharmacology Approach to Investigate the Mechanism of Key Genes and Therapeutic Traditional Chinese Medicine in the Treatment of Depression

Yucong Shi | Dan Chen | ... | Li Deng
  • Special Issue
  • - Volume 2021
  • - Article ID 2809004
  • - Research Article

Exploring the Potential Mechanism of Chuanxiong Rhizoma Treatment for Migraine Based on Systems Pharmacology

Xianhua Wen | Yuncheng Gu | ... | Xuping Liu
  • Special Issue
  • - Volume 2021
  • - Article ID 8614963
  • - Research Article

Bioinformatics and Network Pharmacology-Based Approaches to Explore the Potential Mechanism of the Antidepressant Effect of Cyperi Rhizoma through Soothing the Liver

Yuhe Lei | Mingquan Du | ... | Enxin Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 6138854
  • - Research Article

Mechanism of Action of Dengzhan Shengmai in Regulating Stroke from an Inflammatory Perspective: A Preliminary Analysis of Network Pharmacology

Yiqi Yan | Chao Sun | ... | Jun Liu
  • Special Issue
  • - Volume 2021
  • - Article ID 9888607
  • - Research Article

Exploration of Ziziphi Spinosae Semen in Treating Insomnia Based on Network Pharmacology Strategy

Gong Feipeng | Xie Luxin | ... | Wu Jianxiong
  • Special Issue
  • - Volume 2021
  • - Article ID 6486287
  • - Research Article

Based on UPLC-Q-TOF-MS/MS, Systematic Network Pharmacology, and Molecular Docking to Explore the Potential Mechanism of Fructus Aurantii for Major Depression Disorder

Yating Xie | Ying Liu | ... | Jinlian Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 7604537
  • - Review Article

Efficacy and Safety of Chaihu Jia Longgu Muli Decoction in the Treatment of Poststroke Depression: A Systematic Review and Meta-Analysis

Renhong Wan | Ruiwen Song | ... | Shenjun Wang
Evidence-Based Complementary and Alternative Medicine
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Acceptance rate7%
Submission to final decision145 days
Acceptance to publication29 days
CiteScore3.500
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