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      The mechanism of electroacupuncture for depression on basic research: a systematic review

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          Abstract

          Background

          Electroacupuncture (EA) is generally accepted as a safe and harmless treatment option for alleviating depression. However, there are several challenges related to the use of EA. Although EA has been shown to be effective in treating depression, the molecular mechanism is unclear.

          Objective

          To reveal the therapeutic effect of EA and its possible mechanism in the treatment of depression.

          Search strategy

          We performed a systematic search according to PRISMA guidelines. We electronically searched PubMed, Web of Science (WOS), the China National Knowledge Infrastructure (CNKI), Wanfang Data Information Site and the VIP information database for animal studies in English published from the inception of these databases to December 31, 2019.

          Inclusion criteria

          Electronic searches of PubMed, WOS, the CNKI, Wanfang and the VIP database were conducted using the following search terms: (depression OR depressive disorder OR antidepressive), (rat OR mouse) AND (acupuncture OR EA).

          Data extraction and analysis

          The data were extracted primarily by one author, and a follow-up review was conducted by the other authors.

          Results

          Twenty-eight articles met the inclusion criteria. The most commonly used method for inducing depression in animal models was 21 days of chronic unpredictable mild stress. For the depression model, the most commonly selected EA frequency was 2 Hz. Among the 28 selected studies, 11 studies observed depression-related behaviors and used them as indicators of EA efficacy. The other 17 studies focused on mechanisms and assessed the indexes that exhibited abnormalities that were known to result from depression and then returned to a normal range after EA treatment. Treatment of depression by EA involves multiple therapeutic mechanisms, including inhibition of HPA axis hyperactivity and inflammation, regulation of neuropeptides and neurotransmitters, modulation of the expression of particular genes, restoration of hippocampal synaptic plasticity, increased expression of BDNF, and regulation of several signaling pathways.

          Conclusions

          This review reveals that the mechanisms underlying the effect of acupuncture involve multiple pathways and targets, suggesting that acupuncture is a wholistic treatment for people rather than for diseases. Our findings also explain why acupuncture can treat various disorders in addition to depression.

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          Most cited references97

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          Gut microbiome remodeling induces depressive-like behaviors through a pathway mediated by the host’s metabolism

          Major depressive disorder (MDD) is the result of complex gene-environment interactions. According to the World Health Organization, MDD is the leading cause of disability worldwide, and it is a major contributor to the overall global burden of disease. However, the definitive environmental mechanisms underlying the pathophysiology of MDD remain elusive. The gut microbiome is an increasingly recognized environmental factor that can shape the brain through the microbiota-gut-brain axis. We show here that the absence of gut microbiota in germ-free (GF) mice resulted in decreased immobility time in the forced swimming test relative to conventionally raised healthy control mice. Moreover, from clinical sampling, the gut microbiotic compositions of MDD patients and healthy controls were significantly different with MDD patients characterized by significant changes in the relative abundance of Firmicutes, Actinobacteria and Bacteroidetes. Fecal microbiota transplantation of GF mice with 'depression microbiota' derived from MDD patients resulted in depression-like behaviors compared with colonization with 'healthy microbiota' derived from healthy control individuals. Mice harboring 'depression microbiota' primarily exhibited disturbances of microbial genes and host metabolites involved in carbohydrate and amino acid metabolism. This study demonstrates that dysbiosis of the gut microbiome may have a causal role in the development of depressive-like behaviors, in a pathway that is mediated through the host's metabolism.
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            Major depressive disorder.

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              Large-Scale Network Dysfunction in Major Depressive Disorder: A Meta-analysis of Resting-State Functional Connectivity.

              Major depressive disorder (MDD) has been linked to imbalanced communication among large-scale brain networks, as reflected by abnormal resting-state functional connectivity (rsFC). However, given variable methods and results across studies, identifying consistent patterns of network dysfunction in MDD has been elusive.
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                Author and article information

                Contributors
                zita-han@foxmail.com
                gaoyangxueshu@163.com
                yinxuan0623@hotmail.com
                zhangzj@hku.hk
                llao@vuim.edu
                chenqiu1005@cdutcm.edu.cn
                xu_teacher2006@126.com
                Journal
                Chin Med
                Chin Med
                Chinese Medicine
                BioMed Central (London )
                1749-8546
                13 January 2021
                13 January 2021
                2021
                : 16
                : 10
                Affiliations
                [1 ]GRID grid.415440.0, Hospital of Chengdu University of Traditional Chinese Medicine, ; Chengdu, 610072 Sichuan China
                [2 ]GRID grid.412540.6, ISNI 0000 0001 2372 7462, Shanghai Municipal Hospital of Traditional Chinese Medicine, , Shanghai University of Traditional Chinese Medicine, ; Shanghai, 200071 China
                [3 ]GRID grid.194645.b, ISNI 0000000121742757, School of Chinese Medicine, , The University of Hong Kong, ; Pokfulam, Hong Kong SAR, China
                [4 ]GRID grid.27755.32, ISNI 0000 0000 9136 933X, Virginia University of Integrative Medicine, ; Fairfax, Virginia 22031 USA
                Author information
                http://orcid.org/0000-0001-8941-3386
                Article
                421
                10.1186/s13020-020-00421-y
                7805231
                33436036
                95411003-564f-49e2-b130-faff7554f8c4
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 16 September 2020
                : 12 November 2020
                : 26 December 2020
                Funding
                Funded by: Chengdu Science and Technology Project
                Award ID: No 2019-YF09-00094-SN
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: No 81973943
                Funded by: Sichuan Science and Technology Project of China
                Award ID: No 2019YFS0085
                Categories
                Review
                Custom metadata
                © The Author(s) 2021

                Complementary & Alternative medicine
                electroacupuncture (ea),depression,mechanism,animal research,review

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