Interplay between Stressful Life Events and Interleukin-1β on 12-week Antidepressant Response in Depressive Patients
Ye-Jin Kim1,2, Ju-Wan Kim1, Hee-Ju Kang1, Ju-Yeon Lee1, Sung-Wan Kim1, Il-Seon Shin1, Jae-Min Kim1
1Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
2Department of Biomedical Sciences and BioMedical Science Graduate Program (BMSGP), Chonnam National University Medical School, Hwasun, Korea
Correspondence to: Jae-Min Kim
Department of Psychiatry, Chonnam National University Medical School, 160 Baekseo-ro, Dong-gu, Gwangju 61469, Korea
E-mail: jmkim@chonnam.ac.kr
ORCID: https://orcid.org/0000-0001-7409-6306
Received: July 25, 2024; Revised: September 2, 2024; Accepted: September 3, 2024; Published online: October 29, 2024.
© The Korean College of Neuropsychopharmacology. All rights reserved.

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Objective: This study aimed to investigate the moderating effects of interleukin-1β (IL-1β) on the relationship between stressful life events (SLEs) and antidepressant treatment outcomes over 12 weeks in patients with depressive disorders.
Methods: Baseline assessments of SLEs, IL-1β levels, and other covariates were conducted for 1,094 depressive outpatients with 1,086 followed up for 12 weeks. Antidepressant treatment was tailored according to clinician recommendations and patient preferences, with outcomes evaluated at 12 weeks using the Hamilton depression rating scale. Logistic regression analyses explored the individual and interactive effects of SLEs and IL-1β on depression remission.
Results: SLEs alone did not predict 12-week remission (OR = 0.93, 95% CI [0.82, 1.06]). However, IL-1β levels significantly influenced outcomes (OR = 0.67, 95% CI [0.53, 0.87]), particularly in conjunction with high SLE exposure (Wald = 13.29, p < 0.001). Higher IL-1β levels were associated with lower odds of achieving remission in the group with two or more SLEs (OR = 0.46, 95% CI [0.33, 0.65]), whereas in the group with fewer than two SLEs, the odds were not significantly different (OR = 1.13, 95% CI [0.77, 1.65]).
Conclusion: These findings highlight the critical role of both biological markers and environmental stressors in antidepressant treatment. IL-1β could serve as a biomarker for customizing antidepressant strategies, particularly in patients experiencing high SLE exposure, thereby enhancing treatment efficacy and personalized care. Future studies should include longitudinal assessments of IL-1β to further elucidate its dynamic role in depression pathology and treatment response.
Keywords: Antidepressant medication; Life stress; Interleukin-1beta; Treatment outcome; Prediction


This Article

e-submission

Archives