ArticleTranslational psychiatry2015
Serum proteomic profiling of major depressive disorder.
Article in Translational psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 4 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
73 citing papers in PubMed, 4 syntheses or guidelines pooled it, 134 citations in OpenAlex.
- Global trends and neurobiological frontiers of manual therapy in sleep disorders: integrating bibliometrics with clinical evidence.Frontiers in psychiatry · 2026Pooled it
- Integrating Forensic Autopsies with Proteomic Profiling for Suicide Risk Assessment: A Comprehensive Review of Literature.Current neuropharmacology · 2025Pooled it
- Genome-wide association study meta-analysis of dizygotic twinning illuminates genetic regulation of female fecundity.Human reproduction (Oxford, England) · 2024Pooled it
- Data-driven biological subtypes of depression: systematic review of biological approaches to depression subtyping.Molecular psychiatry · 2019Pooled it
- Proteomic Analysis of the Antidepressant Effects of Shen-Zhi-Ling in Depressed Patients: Identification of Proteins Associated with Platelet Activation and Lipid Metabolism.Cellular and molecular neurobiology · 2018Trial
- Proteomics profiling reveals inflammatory biomarkers of antidepressant treatment response: Findings from the CO-MED trial.Journal of psychiatric research · 2017Trial
- Unmasking the invisible: Proteomic traces of depression in human serum - A pilot study.Indian journal of psychiatry · 2026Article
- Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods.Chinese medicine · 2026Review
- Mechanistic insights into the liver-brain axis during chronic liver disease.Nature reviews. Gastroenterology & hepatology · 2026Review
- A Novel Integrative Framework for Depression: Combining Network Pharmacology, Artificial Intelligence, and Multi-Omics with a Focus on the Microbiota-Gut-Brain Axis.Current issues in molecular biology · 2025Review
- Gut-derived lactic acid enhances tryptophan to 5-hydroxytryptamine in regulation of anxiety viaGut microbes · 2025Article
- Prefrontal Cortex Molecular Signatures of Chronically Socially Isolated Rats and Their Response to Fluoxetine Treatment.Molecular neurobiology · 2025Review
- Towards Objective Major Depressive Disorder Detection: a Systematic Review and Meta-Analysis of Diagnostic Biomarkers.The Psychiatric quarterly · 2025Review
- Biomarkers of bipolar disorder in omics and neuroimaging.Journal of pharmaceutical analysis · 2025Review
- Artificial Intelligence-Based Methods and Omics for Mental Illness Diagnosis: A Review.Bioengineering (Basel, Switzerland) · 2025Review
- Plasma Proteomic Profiling of a Group of Anxious Dogs by LC-MS/MS: A Case-Control Study.Proteomics. Clinical applications · 2025Article
- Predicting incident cardio-metabolic disease among persons with and without depressive and anxiety disorders: a machine learning approach.Social psychiatry and psychiatric epidemiology · 2025Article
- CXCR2 modulates chronic pain comorbid depression in mice by regulating adult neurogenesis in the ventral dentate gyrus.Acta pharmacologica Sinica · 2025Article
- Plasma inflammation-related proteins associated with anxiety and depression disorders in IBD patients.Scientific reports · 2025Article
- Dynamic human gut microbiome and immune shifts during an immersive psychosocial intervention program.Brain, behavior, and immunity · 2025Observational
13 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Much has still to be learned about the molecular mechanisms of depression. This study aims to gain insight into contributing mechanisms by identifying serum proteins related to major depressive disorder (MDD) in a large psychiatric cohort study. Our sample consisted of 1589 participants of the Netherlands Study of Depression and Anxiety, comprising 687 individuals with current MDD (cMDD), 482 individuals with remitted MDD (rMDD) and 420 controls. We studied the relationship between MDD status and the levels of 171 serum proteins detected on a multi-analyte profiling platform using adjusted linear regression models. Pooled analyses of two independent validation cohorts (totaling 78 MDD cases and 156 controls) was carried out to validate our top markers. Twenty-eight analytes differed significantly between cMDD cases and controls (P < 0.05), whereas 10 partly overlapping markers differed significantly between rMDD cases and controls. Antidepressant medication use and comorbid anxiety status did not substantially impact on these findings. Sixteen of the cMDD-related markers had been assayed in the pooled validation cohorts, of which seven were associated with MDD. The analytes prominently associated with cMDD related to diverse cell communication and signal transduction processes (pancreatic polypeptide, macrophage migration inhibitory factor, ENRAGE, interleukin-1 receptor antagonist and tenascin-C), immune response (growth-regulated alpha protein) and protein metabolism (von Willebrand factor). Several proteins were implicated in depression. Changes were more prominent in cMDD, suggesting that molecular alterations in serum are associated with acute depression symptomatology. These findings may help to establish serum-based biomarkers of depression and could improve our understanding of its pathophysiology.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.