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Interactive dynamic modulation of antidepressant treatment response by serum interleukin-1β and Neuroticism at 12 weeks
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  • Published: 10 January 2026

Interactive dynamic modulation of antidepressant treatment response by serum interleukin-1β and Neuroticism at 12 weeks

  • Yoo-Chae Kim1,
  • Sung-Gil Kang1,
  • Ju-Wan Kim1,
  • Hee-Ju Kang1,
  • Min Jhon1,2,
  • Ju-Yeon Lee1,
  • Sung-Wan Kim1,
  • Il-Seon Shin1 &
  • …
  • Jae-Min Kim  ORCID: orcid.org/0000-0001-7409-63061 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Biomarkers
  • Diseases
  • Neuroscience
  • Psychology

Abstract

This study examined how serum interleukin-1 beta (sIL-1β) interacts with the Big Five personality trait of Neuroticism to influence 12-week antidepressant treatment outcomes in patients with depressive disorders. Baseline measurements of sIL-1β and Neuroticism were obtained from 1086 participants enrolled in a naturalistic, stepwise antidepressant treatment program. Remission was defined as a Hamilton depression rating scale score of 7 or below after 12 weeks of treatment. Using logistic regression models that accounted for sociodemographic and clinical variables, we assessed the independent and interactive effects of these factors on treatment response. Elevated sIL-1β levels were significantly associated with non-remission in participants with high Neuroticism, whereas this relationship was not evident among those with lower Neuroticism levels. Notably, the interaction between sIL-1β and Neuroticism was a significant predictor of remission status, even after adjusting for confounders. Our findings reveal that the dynamic modulation of antidepressant response through the interaction of sIL-1β and Neuroticism could inform more personalized treatment strategies, enhancing clinical outcomes for patients with depression. Future research should continue to explore these biomarker-psychological trait interactions to fully understand their role in treatment efficacy.

Data availability

All data generated or analysed during this study are included in this published article [and its supplementary information files].

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Funding

 This research was supported by the Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) (No. RS-2024-00440371), and by the Artificial Intelligence Industry Convergence Agency (AICA), funded by the Ministry of Science and ICT and Gwangju Metropolitan City, under the “Artificial Intelligence-Centered Industrial Convergence Cluster Development Project”, through the “2025 Regular Recruitment Program for AI Datacenter Service Users”.

Author information

Authors and Affiliations

  1. Department of Psychiatry, Chonnam National University Medical School, 160 Baekseoro, 12 Dong-gu, Gwangju, 61469, Korea

    Yoo-Chae Kim, Sung-Gil Kang, Ju-Wan Kim, Hee-Ju Kang, Min Jhon, Ju-Yeon Lee, Sung-Wan Kim, Il-Seon Shin & Jae-Min Kim

  2. Mental Health Clinic, Chonnam National University Hwasun Hospital, Hwasun, Republic of Korea

    Min Jhon

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Contributions

Yoo-Chae Kim: Data curation, Investigation, Writing and revision. Sung-Gil Kang: Data curation, Investigation, Methodology. Ju-Wan Kim: Formal analysis, Methodology, Writing. Hee-Ju Kang: Data curation, Formal analysis, Methodology, Writing and revision. Min Jhon: Formal analysis, Methodology, Writing. Ju-Yeon Lee: Validation, Project administration. Sung-Wan Kim: Validation, Project administration, Writing-supervision. Il-Seon Shin: Validation, Project administration, Writing-supervision. Jae-Min Kim: Conceptualization, Data curation, Formal analysis, Writing and revision.

Corresponding author

Correspondence to Jae-Min Kim.

Ethics declarations

Competing interests

The authors declare no competing interests.

Statement of ethics

All patients gave written informed consent to participate in the study and use their data. The study was conducted in accordance with the Helsinki Declaration of 1975, as revised in 2008 and approved by the Ethics Commission of the Chonnam National University Hospital Institutional Review Board (CNUH 2012–014) as it uses de-identified data.

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Supplementary Information

Supplementary Information.

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Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Cite this article

Kim, YC., Kang, SG., Kim, JW. et al. Interactive dynamic modulation of antidepressant treatment response by serum interleukin-1β and Neuroticism at 12 weeks. Sci Rep (2026). https://doi.org/10.1038/s41598-026-35097-1

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  • Received: 29 October 2025

  • Accepted: 02 January 2026

  • Published: 10 January 2026

  • DOI: https://doi.org/10.1038/s41598-026-35097-1

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Keywords

  • Depression
  • Interleukin-1β
  • Neuroticism
  • Antidepressant
  • Remission
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