ArticleScientific reports2016
Blood-based gene expression signatures of medication-free outpatients with major depressive disorder: integrative genome-wide and candidate gene analyses.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Genetic Contributions of Inflammation to Depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2017Pooled it
- Intron Retention as a Homeostatic State Variable for Drug Response and Recovery: Lessons from Depression for Broader Applications.International journal of molecular sciences · 2026Review
- The IR-Homeostat Hypothesis: Intron Retention as an Evolutionarily Conserved Fine-Tuning Layer and a Reversible Blood Biomarker of Homeostatic Dysregulation in Mood Disorders.International journal of molecular sciences · 2026Review
- Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods.Chinese medicine · 2026Review
- Intron retention: a novel method for evaluating the response to ketamine in patients with treatment-resistant depression.Npj mental health research · 2025Article
- Identification and experimental validation of hub genes underlying depressive-like behaviors induced by chronic social defeat stress.Frontiers in pharmacology · 2024Article
- Intron retention as an excellent marker for diagnosing depression and for discovering new potential pathways for drug intervention.Frontiers in psychiatry · 2024Article
- Glycosylation and behavioral symptoms in neurological disorders.Translational psychiatry · 2023Review
- Structural variation and eQTL analysis in two experimental populations of chickens divergently selected for feather-pecking behavior.Neurogenetics · 2023Article
- Co-expression network of mRNA and DNA methylation in first-episode and drug-naive adolescents with major depressive disorder.Frontiers in psychiatry · 2023Article
- Cellular and immunometabolic mechanisms of inflammation in depression: Preliminary findings from single cell RNA sequencing and a tribute to Bruce McEwen.Neurobiology of stress · 2022Article
- Aiding and Abetting Anhedonia: Impact of Inflammation on the Brain and Pharmacological Implications.Pharmacological reviews · 2021Review
- Article
- Depression patient-derived cortical neurons reveal potential biomarkers for antidepressant response.Translational psychiatry · 2021Article
- Epigenome-wide association study of depression symptomatology in elderly monozygotic twins.Translational psychiatry · 2019Article
- Involvement of inflammatory gene expression pathways in depressed patients with hyperphagia.Translational psychiatry · 2019Article
- Mitogen-stimulated cell proliferation and cytokine production in major depressive disorder patients.BMC psychiatry · 2018Article
- Blood plasma/IgG N-glycome biosignatures associated with major depressive disorder symptom severity and the antidepressant response.Scientific reports · 2018Article
- Intraday Activity Levels May Better Reflect the Differences Between Major Depressive Disorder and Bipolar Disorder Than Average Daily Activity Levels.Frontiers in psychology · 2018Article
- Identification of commonly altered genes between in major depressive disorder and a mouse model of depression.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several microarray-based studies have investigated gene expression profiles in major depressive disorder (MDD), yet with highly variable findings. We examined blood-based genome-wide expression signatures of MDD, focusing on molecular pathways and networks underlying differentially expressed genes (DEGs) and behaviours of hypothesis-driven, evidence-based candidate genes for depression. Agilent human whole-genome arrays were used to measure gene expression in 14 medication-free outpatients with MDD who were at least moderately ill and 14 healthy controls matched pairwise for age and sex. After filtering, we compared expression of entire probes between patients and controls and identified DEGs. The DEGs were evaluated by pathway and network analyses. For the candidate gene analysis, we utilized 169 previously prioritized genes and examined their case-control separation efficiency and correlational co-expression network in patients relative to controls. The 317 screened DEGs mapped to a significantly over-represented pathway, the "synaptic transmission" pathway. The protein-protein interaction network was also significantly enriched, in which a number of key molecules for depression were included. The co-expression network of candidate genes was markedly disrupted in patients. This study provided evidence for an altered molecular network along with several key molecules in MDD and confirmed that the candidate genes are worthwhile targets for depression research.
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