Molecular Signatures of Blood Biomarkers in Depression: Gene Expression Analysis of GAR1, PER3, MTPAP, SLC25A26, and CD19, a Case–Control Study

<b>Background/Objective:</b> Major depressive disorder (MDD) is a common mental illness that lacks objective diagnostic biomarkers and has a complicated pathogenesis. Peripheral blood-based gene expression profiling provides a potential, non-invasive method to identify the molecular markers associated with risk stratification and depression severity.This study aimed to investigate the gene expression of five candidate genes-<i>CD19</i>, <i>MTPAP</i>, <i>PER3</i>, <i>GAR1</i>, and <i>SLC25A26</i>-in the peripheral blood of drug-naïve patients with MDD and to evaluate their potential as diagnostic biomarkers. <b>Methods:</b> Peripheral blood samples were collected from 100 newly diagnosed, drug-naïve MDD patients and 100 age- and sex-matched healthy controls. The total RNA was extracted and reverse-transcribed for quantitative real-time PCR analysis. Fold change and ∆∆Ct values were calculated for each gene, followed by statistical analysis using <i>t</i>-tests and ANOVA. Receiver operating characteristic (ROC) curves were used to evaluate diagnostic performance. Gene co-expression and pathway enrichment analyses were conducted to explore functional relevance. <b>Results:</b> Significant upregulation was observed for CD19 (fold change = 6.15, <i>p</i> = 6.17 × 10<sup>-10</sup>), MTPAP (fold change = 3.99, <i>p</i> = 1.74 × 10<sup>-8</sup>), and PER3 (fold change = 2.42, <i>p</i> = 5.33 × 10<sup>-6</sup>) in MDD. GAR1 showed modest upregulation (fold change = 1.26, <i>p</i> = 0.47), while SLC25A26 (fold change = 1.24, <i>p</i> = 0.47) was not significantly altered. Combined ROC analysis yielded an AUC of 0.885, indicating a strong discriminative ability. Gene expression correlated with depression severity (HAM-D and PHQ-9). <b>Conclusions:</b> This study identifies <i>CD19</i>, <i>MTPAP</i>, and <i>PER3</i> as promising peripheral blood biomarkers for MDD, with potential implications for early diagnosis, severity assessment, and personalized treatment strategies.

Authors

Institutions

Publication Details

Journal
Diagnostics
Published
2026-03-16
DOI
https://doi.org/10.3390/diagnostics16060884
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

Molecular Signatures of Blood Biomarkers in Depression: Gene Expression Analysis of GAR1, PER3, MTPAP, SLC25A26, and CD19, a Case–Control Study

Ramya Sugumar, R Balakrishna S, C. D. Mohana Priya, C. Sheela Sasikumar et al.
Diagnostics
Tryptophan and brain disorders
article

Molecular Signatures of Blood Biomarkers in Depression: Gene Expression Analysis of GAR1, PER3, MTPAP, SLC25A26, and CD19, a Case–Control Study

Ramya Sugumar, R Balakrishna S, C. D. Mohana Priya, C. Sheela Sasikumar, Suvarna Jyothi Kantipudi
article en

Abstract

<b>Background/Objective:</b> Major depressive disorder (MDD) is a common mental illness that lacks objective diagnostic biomarkers and has a complicated pathogenesis. Peripheral blood-based gene expression profiling provides a potential, non-invasive method to identify the molecular markers associated with risk stratification and depression severity.This study aimed to investigate the gene expression of five candidate genes-<i>CD19</i>, <i>MTPAP</i>, <i>PER3</i>, <i>GAR1</i>, and <i>SLC25A26</i>-in the peripheral blood of drug-naïve patients with MDD and to evaluate their potential as diagnostic biomarkers. <b>Methods:</b> Peripheral blood samples were collected from 100 newly diagnosed, drug-naïve MDD patients and 100 age- and sex-matched healthy controls. The total RNA was extracted and reverse-transcribed for quantitative real-time PCR analysis. Fold change and ∆∆Ct values were calculated for each gene, followed by statistical analysis using <i>t</i>-tests and ANOVA. Receiver operating characteristic (ROC) curves were used to evaluate diagnostic performance. Gene co-expression and pathway enrichment analyses were conducted to explore functional relevance. <b>Results:</b> Significant upregulation was observed for CD19 (fold change = 6.15, <i>p</i> = 6.17 × 10<sup>-10</sup>), MTPAP (fold change = 3.99, <i>p</i> = 1.74 × 10<sup>-8</sup>), and PER3 (fold change = 2.42, <i>p</i> = 5.33 × 10<sup>-6</sup>) in MDD. GAR1 showed modest upregulation (fold change = 1.26, <i>p</i> = 0.47), while SLC25A26 (fold change = 1.24, <i>p</i> = 0.47) was not significantly altered. Combined ROC analysis yielded an AUC of 0.885, indicating a strong discriminative ability. Gene expression correlated with depression severity (HAM-D and PHQ-9). <b>Conclusions:</b> This study identifies <i>CD19</i>, <i>MTPAP</i>, and <i>PER3</i> as promising peripheral blood biomarkers for MDD, with potential implications for early diagnosis, severity assessment, and personalized treatment strategies.

DiagnosticsVol. 16(6)
Sri Ramachandra Institute of Higher Education and Research (IN), Shri Jagdishprasad Jhabarmal Tibrewala University (IN)
Reduced inequalities
Openalex Percentile: Top 29%
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.