Serum L-selectin levels as predictive markers for chronic major depressive disorder progression

Abstract Background Major depressive disorder (MDD) exhibits a recurrence rate of up to 70%. Frequent recurrence can lead to chronic depression, which has considerable personal and societal consequences. This study aims to identify a serum protein biomarker to predict MDD recurrence and progression...

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Main Authors: Yeeun Yun, Sora Mun, Seungyeon Lee, Hee-Gyoo Kang, Jiyeong Lee
Format: Article
Language:English
Published: BMC 2024-10-01
Series:Annals of General Psychiatry
Subjects:
Online Access:https://doi.org/10.1186/s12991-024-00522-0
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author Yeeun Yun
Sora Mun
Seungyeon Lee
Hee-Gyoo Kang
Jiyeong Lee
author_facet Yeeun Yun
Sora Mun
Seungyeon Lee
Hee-Gyoo Kang
Jiyeong Lee
author_sort Yeeun Yun
collection DOAJ
description Abstract Background Major depressive disorder (MDD) exhibits a recurrence rate of up to 70%. Frequent recurrence can lead to chronic depression, which has considerable personal and societal consequences. This study aims to identify a serum protein biomarker to predict MDD recurrence and progression to chronicity. Methods Serum samples from the MDD with single episode group (MDD-S), MDD with recurrence group (MDD-R), and a healthy control group were collected. Non-targeted analysis of the serum proteome was conducted using liquid chromatography–tandem mass spectrometry. Statistically significant common proteins when comparing the three groups were chosen. The selected marker candidates were subsequently validated through multiple response monitoring (MRM), incorporating a healthy control, MDD-S, MDD-R(2) (two episodes), and MDD-R(> 2) (more than two episodes) groups. Results L-selectin levels showed an upward trend in the MDD-R group compared to the healthy control and MDD-S groups. MRM validation revealed a decreased tendency for L-selectin in the MDD-R(> 2) group, indicative of a chronic state, versus the healthy control and MDD-S groups. The receiver operating characteristic analysis highlighted L-selectin as the chosen biomarker due to its classification efficacy for the MDD-R(> 2) group. Conclusion L-selectin emerged as a predictive biomarker for MDD recurrence and its potential evolution into chronic depression. This marker offers insights into changes in leukocyte-mediated inflammatory responses characteristic of chronic depression. Consequently, it may forecast the transition from acute to chronic inflammation in depressive patients.
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spelling doaj-art-0a889f6beefa4a40895c3fba32273dc62025-08-24T11:42:21ZengBMCAnnals of General Psychiatry1744-859X2024-10-012311910.1186/s12991-024-00522-0Serum L-selectin levels as predictive markers for chronic major depressive disorder progressionYeeun Yun0Sora Mun1Seungyeon Lee2Hee-Gyoo Kang3Jiyeong Lee4Department of Biomedical Laboratory Science, Graduate School, Eulji UniversityDepartment of Biomedical Laboratory Science, College of Health Science, Eulji UniversityDepartment of Senior Healthcare, Graduate School, Eulji UniversityDepartment of Biomedical Laboratory Science, Graduate School, Eulji UniversityDepartment of Biomedical Laboratory Science, Graduate School, Eulji UniversityAbstract Background Major depressive disorder (MDD) exhibits a recurrence rate of up to 70%. Frequent recurrence can lead to chronic depression, which has considerable personal and societal consequences. This study aims to identify a serum protein biomarker to predict MDD recurrence and progression to chronicity. Methods Serum samples from the MDD with single episode group (MDD-S), MDD with recurrence group (MDD-R), and a healthy control group were collected. Non-targeted analysis of the serum proteome was conducted using liquid chromatography–tandem mass spectrometry. Statistically significant common proteins when comparing the three groups were chosen. The selected marker candidates were subsequently validated through multiple response monitoring (MRM), incorporating a healthy control, MDD-S, MDD-R(2) (two episodes), and MDD-R(> 2) (more than two episodes) groups. Results L-selectin levels showed an upward trend in the MDD-R group compared to the healthy control and MDD-S groups. MRM validation revealed a decreased tendency for L-selectin in the MDD-R(> 2) group, indicative of a chronic state, versus the healthy control and MDD-S groups. The receiver operating characteristic analysis highlighted L-selectin as the chosen biomarker due to its classification efficacy for the MDD-R(> 2) group. Conclusion L-selectin emerged as a predictive biomarker for MDD recurrence and its potential evolution into chronic depression. This marker offers insights into changes in leukocyte-mediated inflammatory responses characteristic of chronic depression. Consequently, it may forecast the transition from acute to chronic inflammation in depressive patients.https://doi.org/10.1186/s12991-024-00522-0Major Depressive Disorder (MDD)BiomarkersSerum proteomicsL-selectinChronic depressionInflammatory response mechanisms
spellingShingle Yeeun Yun
Sora Mun
Seungyeon Lee
Hee-Gyoo Kang
Jiyeong Lee
Serum L-selectin levels as predictive markers for chronic major depressive disorder progression
Annals of General Psychiatry
Major Depressive Disorder (MDD)
Biomarkers
Serum proteomics
L-selectin
Chronic depression
Inflammatory response mechanisms
title Serum L-selectin levels as predictive markers for chronic major depressive disorder progression
title_full Serum L-selectin levels as predictive markers for chronic major depressive disorder progression
title_fullStr Serum L-selectin levels as predictive markers for chronic major depressive disorder progression
title_full_unstemmed Serum L-selectin levels as predictive markers for chronic major depressive disorder progression
title_short Serum L-selectin levels as predictive markers for chronic major depressive disorder progression
title_sort serum l selectin levels as predictive markers for chronic major depressive disorder progression
topic Major Depressive Disorder (MDD)
Biomarkers
Serum proteomics
L-selectin
Chronic depression
Inflammatory response mechanisms
url https://doi.org/10.1186/s12991-024-00522-0
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