Serum Proteome-based Network Analysis for Understanding the Pathophysiology of Major Depressive Disorder

Major depressive disorder (MDD) is a common psychiatric illness with a high global prevalence, leading to significant personal and societal burdens such as functional impairment and increased suicide risk. Despite its prevalence, the pathophysiology of depression remains poorly understood, and current diagnostic and therapeutic approaches primarily rely on subjective clinical assessments. This study examined the protein networks and biological pathways associated with depression by comparing the plasma proteome of MDD patients with that of healthy controls. Using proteomics approaches, this study analyzed the serum samples from 30 MDD patients and 30 healthy individuals. Differentially expressed proteins were identified based on a t-test with a P-value<0.05 and a fold change>1.2. Twenty proteins were significantly altered in the MDD group. Further analysis using STRING and Reactome revealed platelet degranulation, the acute phase response, blood coagulation, and the complement pathways to be key biological processes associated with MDD. Hence, the specific alterations in the serum proteome may be linked to the underlying pathophysiology of depression and could serve as a foundation for the development of objective diagnostic markers and therapeutic strategies.

Authors

Institutions

Publication Details

Journal
Korean Journal of Clinical Laboratory Science
Published
2025-09-29
DOI
https://doi.org/10.15324/kjcls.2025.57.3.320
Primary Topic
Tryptophan and brain disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Serum Proteome-based Network Analysis for Understanding the Pathophysiology of Major Depressive Disorder

Hee‐Gyoo Kang, Seungyeon Lee
Korean Journal of Clinical Laboratory Science
Tryptophan and brain disorders
article

Serum Proteome-based Network Analysis for Understanding the Pathophysiology of Major Depressive Disorder

Hee‐Gyoo Kang, Seungyeon Lee
article en

Abstract

Major depressive disorder (MDD) is a common psychiatric illness with a high global prevalence, leading to significant personal and societal burdens such as functional impairment and increased suicide risk. Despite its prevalence, the pathophysiology of depression remains poorly understood, and current diagnostic and therapeutic approaches primarily rely on subjective clinical assessments. This study examined the protein networks and biological pathways associated with depression by comparing the plasma proteome of MDD patients with that of healthy controls. Using proteomics approaches, this study analyzed the serum samples from 30 MDD patients and 30 healthy individuals. Differentially expressed proteins were identified based on a t-test with a P-value<0.05 and a fold change>1.2. Twenty proteins were significantly altered in the MDD group. Further analysis using STRING and Reactome revealed platelet degranulation, the acute phase response, blood coagulation, and the complement pathways to be key biological processes associated with MDD. Hence, the specific alterations in the serum proteome may be linked to the underlying pathophysiology of depression and could serve as a foundation for the development of objective diagnostic markers and therapeutic strategies.

Korean Journal of Clinical Laboratory ScienceVol. 57(3)
Eulji University (KR)
Openalex Percentile: Top 73%
Tryptophan and brain disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Serum Proteome-based Network Analysis for Understanding the Pathophysiology of Major Depressive Disorder — Hee‐Gyoo Kang, Seungyeon Lee · Korean Journal of Clinical Laboratory Science (2025) | TGRS Research Map | TGRS