KMID : 1009020240220010182
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Clinical Psychopharmacology and Neuroscience 2024 Volume.22 No. 1 p.182 ~ p.187
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Use of Serum Biomarkers to Aid Antidepressant Selection in Depressive Patients
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Kang Hee-Ju
Kim Ju-Wan Choi Won-Suk Lee Ju-Yeon Kim Sung-Wan Shin Il-Seon Kim Jae-Min
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Abstract
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Objective: This study aimed to identify serum biomarkers prospectively associated with remission at 12 weeks in out-patients 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 ¡Â 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-1¥â 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.
Conclusion: 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.
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KEYWORD
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Depression, Biomarker, Treament outcome, Antidepressive agents
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