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Tytuł pozycji:

Clinical and biological predictors of response to electroconvulsive therapy (ECT): a review.

Tytuł:
Clinical and biological predictors of response to electroconvulsive therapy (ECT): a review.
Autorzy:
Pinna M; Psychiatry Unit, San Martino Hospital-Health Agency N. 5, Oristano, Sardinia, Italy.
Manchia M; Section of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Cagliari, Italy; Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada.
Oppo R; Psychiatry Unit, San Martino Hospital-Health Agency N. 5, Oristano, Sardinia, Italy.
Scano F; Psychiatry Unit, San Martino Hospital-Health Agency N. 5, Oristano, Sardinia, Italy.
Pillai G; Psychiatry Unit, San Martino Hospital-Health Agency N. 5, Oristano, Sardinia, Italy.
Loche AP; Psychiatry Unit, San Martino Hospital-Health Agency N. 5, Oristano, Sardinia, Italy.
Salis P; Psychiatry Unit, San Martino Hospital-Health Agency N. 5, Oristano, Sardinia, Italy. Electronic address: .
Minnai GP; Psychiatry Unit, San Martino Hospital-Health Agency N. 5, Oristano, Sardinia, Italy.
Źródło:
Neuroscience letters [Neurosci Lett] 2018 Mar 16; Vol. 669, pp. 32-42. Date of Electronic Publication: 2016 Oct 25.
Typ publikacji:
Journal Article; Review
Język:
English
Imprint Name(s):
Publication: Limerick : Elsevier Scientific Publishers Ireland
Original Publication: Amsterdam, Elsevier/North-Holland.
MeSH Terms:
Electroconvulsive Therapy*
Bipolar Disorder/*therapy
Depressive Disorder, Major/*therapy
Biomarkers/analysis ; Bipolar Disorder/blood ; Bipolar Disorder/genetics ; Depressive Disorder, Major/blood ; Depressive Disorder, Major/genetics ; Female ; Humans ; Male ; Middle Aged ; Polymorphism, Genetic ; Predictive Value of Tests
Contributed Indexing:
Keywords: Biomarker; Depression; Gene expression; Genetic polymorphism; Mood disorder; Personalized treatment
Substance Nomenclature:
0 (Biomarkers)
Entry Date(s):
Date Created: 20161030 Date Completed: 20190225 Latest Revision: 20220321
Update Code:
20240105
DOI:
10.1016/j.neulet.2016.10.047
PMID:
27793702
Czasopismo naukowe
Electroconvulsive therapy (ECT), developed in the 30's by Bini and Cerletti, remains a key element of the therapeutic armamentarium in psychiatry, particularly for severe and life-threatening psychiatric symptoms. However, despite its well-established clinical efficacy, the prescription of ECT has declined constantly over the years due to concerns over its safety (cognitive side effects) and an increasingly negative public perception. As for other treatments in the field of psychiatry, ECT is well suited to a personalized approach that would increment its efficacy, as well as reducing the impact of side effects. This should be based on the priori identification of sub-populations of patients sharing common clinical and biological features that predict a good response to ECT. In this review we have selectively reviewed the evidence on clinical and biological predictors of ECT response. Clinical features such as an older age, presence of psychotic and melancholic depression, a high severity of suicide behavior, and speed of response, appear to be shared by ECT good responders with depressive symptoms. In mania, a greater severity of the index episode, and a reduction of whole brain cortical blood flow are associated with ECT good response. Biological determinants of ECT response in depressive patients are the presence of pre-treatment hyperconnectivity between key areas of brain circuitry of depression, as well as of reduced glutamine/glutamate levels, particularly in the anterior cingulated cortex (ACC). Furthermore, pre ECT high plasma homovanillic acid (HVA) levels, as well as of tumor necrosis factor (TNF)-α, and low pre-ECT levels of S-100B protein, appear to predict ECT response. Finally, polymorphisms within the genes encoding for the brain-derived neurotrophic factor (BDNF), the dopamine 2 receptor gene (DRD2), the dopamine receptor 3 gene (DRD3), the cathechol-o-methyltransferase (COMT), the serotonin-transporter (5-HTT), the 5-hydroxytryptamine 2A receptor (5-HT 2A ), and the norepinephrine transporter (NET), appear to predict a good response to ECT. The integration of these data in specific treatment algorithm might facilitate a personalized approach in ECT.
(Copyright © 2016. Published by Elsevier B.V.)

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