Clinical Psychopharmacology and Neuroscience Papers in Press available online.

Use of serum biomarkers to aid antidepressant selection in depressive patients
Hee-Ju Kang 1, Ju-Wan Kim 1, Wonsuk Choi 2, Ju-Yeon Lee 1, Sung-Wan Kim 1, Il-Seon Shin 1, Jae-Min Kim 1,*
1Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea , 2Department of Internal Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea
Objective: This study aimed to identify serum biomarkers prospectively associated with remission at 12 weeks in outpatients with depressive disorders receiving stepwise psychopharmacotherapy, according to the main antidepressant used during the treatment period.
Methods: This study included 1,024 depressive outpatients initially treated using antidepressant monotherapy, followed by alternating pharmacological strategies during the acute phase (3–12 weeks; 3-week interval). Fourteen serum biomarkers, sociodemographics, and clinical characteristics were evaluated at baseline. Based on the use frequency and mechanism of action, four main antidepressant types were distinguished: escitalopram, other selective serotonin reuptake inhibitors (SSRIs), serotonin norepinephrine reuptake inhibitors (SNRIs), and mirtazapine. A Hamilton Depression Rating Scale score ≤ 7 was take to indicate remission.
Results: Lower high-sensitivity C-reactive protein levels were correlated with remission at 12 weeks for all antidepressant types. Lower interleukin (IL)-6 levels and tumor necrosis factor-alpha levels were associated with remission using escitalopram and other SSRIs respectively. Lower IL-1β and leptin levels, predicted remission in association with SSRIs including escitalopram. For SNRIs, remission at 12 weeks was predicted by lower IL-4 and IL-10 levels. For mirtazapine, remission at 12 weeks was associated with lower leptin levels, and higher serotonin and folate levels.
Conclusions: Baseline serum status, as estimated by nine serum markers, may help clinicians determine the most appropriate antidepressant to achieve remission in the acute phase of depression.
Accepted Manuscript [Submitted on 2023-03-04, Accepted on 2023-04-10]