Peripheral endocannabinoid serum level in association with repetitive transcranial magnetic stimulation (rTMS) treatment in patients with major depressive disorder.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
23 04 2021
Historique:
received: 02 12 2020
accepted: 31 03 2021
entrez: 24 4 2021
pubmed: 25 4 2021
medline: 18 11 2021
Statut: epublish

Résumé

Repetitive transcranial magnetic stimulation (rTMS) is an effective and well tolerable biological intervention in major depressive disorder (MDD) contributing to rapid symptom improvement. Molecular mechanisms underpinning the therapeutic effects of rTMS have still not been clarified. Recently published animal data implicated relevant associations with changes in endocannabinoid (eCB) brain levels during rTMS treatment, human studies, however, have not been published. In our study we assessed the detailed phenotypic spectrum of MDD and serum 2-arachidnoylglycerol (2-AG) and anandamide (AEA) levels in 18 patients with treatment-resistant depression before, immediately following, and two weeks after completion of a 10-day rTMS treatment. We found significant associations between serum 2-AG level changes from pretreatment to 2 weeks after treatment and symptom reduction. The greater the increase of 2-AG levels, the greater the improvement of depressive (p = 0.031), anxious (p = 0.007) and anhedonia symptoms (p = 0.047). Here we report for the first time a significant association of human circulating eCB and antidepressant effect of rTMS. Our data may indicate that direct stimulation of targeted brain areas can rapidly alleviate depressive complaints via activation of the eCB system.

Identifiants

pubmed: 33893327
doi: 10.1038/s41598-021-87840-5
pii: 10.1038/s41598-021-87840-5
pmc: PMC8065048
doi:

Substances chimiques

Endocannabinoids 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

8867

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Auteurs

Judit Lazary (J)

Nyírő Gyula National Institute of Psychiatry and Addictions, Budapest Lehel street 59, Budapest, 1135, Hungary. lazaryjudit@gmail.com.
Janos Szentagothai Doctoral School of Neuroscience, Semmelweis University, Budapest, Hungary. lazaryjudit@gmail.com.

Monika Elemery (M)

Janos Szentagothai Doctoral School of Neuroscience, Semmelweis University, Budapest, Hungary.
Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.

Peter Dome (P)

Nyírő Gyula National Institute of Psychiatry and Addictions, Budapest Lehel street 59, Budapest, 1135, Hungary.
Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.

Szilvia Kiss (S)

Janos Szentagothai Doctoral School of Neuroscience, Semmelweis University, Budapest, Hungary.
Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.

Xenia Gonda (X)

Nyírő Gyula National Institute of Psychiatry and Addictions, Budapest Lehel street 59, Budapest, 1135, Hungary.
Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.

Laszlo Tombor (L)

Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.

Laszlo Pogany (L)

Nyírő Gyula National Institute of Psychiatry and Addictions, Budapest Lehel street 59, Budapest, 1135, Hungary.
Janos Szentagothai Doctoral School of Neuroscience, Semmelweis University, Budapest, Hungary.

Gergely Becskereki (G)

Department of Inonrganic and Analytical Chemistry, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Budapest, Hungary.

Blanka Toth (B)

Department of Inonrganic and Analytical Chemistry, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Budapest, Hungary.

Gabor Faludi (G)

Janos Szentagothai Doctoral School of Neuroscience, Semmelweis University, Budapest, Hungary.
Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.

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Classifications MeSH