ArticlePloS one2016
Blood Transcriptomic Markers in Patients with Late-Onset Major Depressive Disorder.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed, 68 citations in OpenAlex.
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- The regulatory variant rs1950834 confers the risk of depressive disorder by reducing LRFN5 expression.BMC medicine · 2025Article
- A Transcriptomic Signature of Depressive Symptoms in Late Life.Biological psychiatry global open science · 2025Article
- Biological mechanism and functional verification of key genes related to major depressive disorder and type 2 diabetes mellitus.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Single-cell transcriptome-wide Mendelian randomization identifies mitochondrial targets in immune cells for Major Depressive Disorder.Frontiers in immunology · 2025Article
- Development and validation of a comprehensive machine learning framework for a diagnostic model of uremia based on genes involved in major depressive disorder.Frontiers in nephrology · 2025Article
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- Identification of Genes in Diagnosing Major Depressive Disorder with Anorexia Through Bioinformatics Analysis.Neuropsychiatric disease and treatment · 2025Article
- Identification of immune and major depressive disorder-related diagnostic markers for early nonalcoholic fatty liver disease by WGCNA and machine learning.Frontiers in bioinformatics · 2025Article
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- Exploring the diagnostic potential of IL1R1 in depression and its association with lipid metabolism.Frontiers in pharmacology · 2025Article
- Single-cell RNA-seq reveals the role of YAP1 in prefrontal cortex microglia in depression.BMC neurology · 2024Article
- Prediction and Validation of Hub Genes Related to Major Depressive Disorder Based on Co-expression Network Analysis.Journal of molecular neuroscience : MN · 2024Article
- Bioinformatics Screening and Experimental Validation for Deciphering the Immune Signature of Late-Onset Depression.Neuropsychiatric disease and treatment · 2024Article
- Identification and Analyses of Crucial Genes Associated with Pathogenesis of Major Depressive Disorder.Psychiatry and clinical psychopharmacology · 2023Article
- Social defeat stress induces genome-wide 5mC and 5hmC alterations in the mouse brain.G3 (Bethesda, Md.) · 2023Article
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We investigated transcriptomic markers of late-onset major depressive disorder (LOD; onset age of first depressive episode ≥ 50 years) from the genes expressed in blood cells and identified state-dependent transcriptomic markers in these patients. We assessed the genes expressed in blood cells by microarray and found that the expression levels of 3,066 probes were state-dependently changed in the blood cells of patients with LOD. To select potential candidates from those probes, we assessed the genes expressed in the blood of an animal model of depression, ovariectomized female mice exposed to chronic ultra-mild stress, by microarray and cross-matched the differentially expressed genes between the patients and the model mice. We identified 14 differentially expressed genes that were similarly changed in both patients and the model mice. By assessing statistical significance using real-time quantitative PCR (RT-qPCR), the following 4 genes were selected as candidates: cell death-inducing DFFA-like effector c (CIDEC), ribonuclease 1 (RNASE1), solute carrier family 36 member-1 (SLC36A1), and serine/threonine/tyrosine interacting-like 1 (STYXL1). The discriminating ability of these 4 candidate genes was evaluated in an independent cohort that was validated. Among them, CIDEC showed the greatest discriminant validity (sensitivity 91.3% and specificity 87.5%). Thus, these 4 biomarkers should be helpful for properly diagnosing LOD.
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