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Biomarkers of treatment response in depression (CROSBI ID 59217)

Prilog u knjizi | izvorni znanstveni rad

Nedić Erjavec, Gordana ; Nikolac Perković, Matea ; Švob Štrac, Dubravka ; Pivac, Nela Biomarkers of treatment response in depression // Major Depressive Disorder: Risk Factors, Characteristics and Treatment Options / Yong-Ku, Kim (ur.). New York (NY): Nova Science Publishers, 2017. str. 181-233

Podaci o odgovornosti

Nedić Erjavec, Gordana ; Nikolac Perković, Matea ; Švob Štrac, Dubravka ; Pivac, Nela

engleski

Biomarkers of treatment response in depression

Biomarkers of treatment response in depression are important since they can be used to predict antidepressant treatment outcome as well as development of side-effects, and therefore to choose the best possible therapy for depression. Studies addressing the pharmacokinetic biomarkers mainly investigated the cytochrome P450 superfamily, and the ATP binding cassette transporter enzymes. Regarding antidepressant treatment response, most studied neurotransmitter biomarkers included components of monoaminergic systems, such as monoamine metabolic enzymes and monoamine transporters, as well as various serotonergic, dopaminergic, adrenergic and glutamatergic receptors. Various neurotrophic and growth factors, inflammatory molecules as as well as stress related biomarkers associated with HPA axis activation, have been also suggested as potential biomarkers of antidepressant response. Accumulating evidence supports structural and functional brain imaging biomarkers as useful tools for providing information regarding antidepressant treatment outcome. In addition, several different electrophysiological and electroencephalography biomarkers show promise for predicting treatment response in depression.

depression ; biomarkers ; treatment response ; neurotransmitters ; neurotrophins ; hypothalamic-pituitary-adrenal axis ; genetic variants ; imaging biomarkers

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Podaci o prilogu

181-233.

objavljeno

Podaci o knjizi

Major Depressive Disorder: Risk Factors, Characteristics and Treatment Options

Yong-Ku, Kim

New York (NY): Nova Science Publishers

2017.

978-1-53611-980-0

Povezanost rada

Temeljne medicinske znanosti