Introduction Pharmacogenetic testing is proposed to minimize adverse
effects when considered in combination with pharmacological knowledge of the
drug. As yet, limited studies in clinical settings have investigated the
predictive value of pharmacokinetic (pk) gene variation on therapeutic drug
levels as a probable mechanism of adverse effects, nor considered the combined
effect of pk gene variation and drug level on antidepressant treatment
response.
Methods Two depression cohorts were investigated for the relationship
between pk gene variation and antidepressant serum concentrations of
amitriptyline, venlafaxine, mirtazapine and quetiapine, as well as treatment
response. For the analysis, 519 patients (49% females; 46.6±14.1
years) were included.
Results Serum concentration of amitriptyline was associated with
CYP2D6 (higher concentrations in poor metabolizers compared to normal
metabolizers), of venlafaxine with CYP2C19 (higher concentrations in
intermediate metabolizers compared to rapid/ultrarapid metabolizers) and
CYP2D6 (lower metabolite-to-parent ratio in poor compared to
intermediate and normal metabolizers, and intermediate compared to normal and
ultrarapid metabolizers). Pk gene variation did not affect treatment
response.
Discussion The present data support previous recommendations to reduce
starting doses of amitriptyline and to guide dose-adjustments via therapeutic
drug monitoring in CYP2D6 poor metabolizers. In addition, we propose including
CYP2C19 in routine testing in venlafaxine-treated patients to improve
therapy by raising awareness of the risk of low serum concentrations in CYP2C19
rapid/ultrarapid metabolizers. In summary, pk gene variation can predict
serum concentrations, and thus the combination of pharmacogenetic testing and
therapeutic drug monitoring is a useful tool in a personalized therapy approach
for depression.