ArticleMolecular psychiatry2009
Identifying blood biomarkers for mood disorders using convergent functional genomics.
Article in Molecular psychiatry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 97 papers, 3 of them syntheses that pooled it.
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Who cites it
97 citing papers in PubMed, 3 syntheses or guidelines pooled it, 210 citations in OpenAlex.
- Recent developments in omics studies and artificial intelligence in depression and suicide.Translational psychiatry · 2025Pooled it
- A systematic review of childhood maltreatment and DNA methylation: candidate gene and epigenome-wide approaches.Translational psychiatry · 2021Pooled it
- Neurotrophins, cytokines, oxidative stress mediators and mood state in bipolar disorder: systematic review and meta-analyses.The British journal of psychiatry : the journal of mental science · 2018Pooled it
- Testing the predictive value of peripheral gene expression for nonremission following citalopram treatment for major depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2015Trial
- Next-generation precision medicine for mood disorders: reproducible blood biomarkers enable objective diagnostics, subtyping, and targeted therapeutics.Molecular psychiatry · 2026Article
- Bioinformatics strategies and biomarker refinement using high-throughput transcriptome data in transplantation.Frontiers in bioinformatics · 2026Article
- Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study.Journal of medical Internet research · 2024Article
- Precision medicine for psychotic disorders: objective assessment, risk prediction, and pharmacogenomics.Molecular psychiatry · 2024Article
- Immunoglobulin genes expressed in lymphoblastoid cell lines discern and predict lithium response in bipolar disorder patients.Molecular psychiatry · 2023Article
- Hormonal and inflammatory signatures of different mood episodes in bipolar disorder: a large-scale clinical study.BMC psychiatry · 2023Article
- How can childhood maltreatment affect post-traumatic stress disorder in adult: Results from a composite null hypothesis perspective of mediation analysis.Frontiers in psychiatry · 2023Article
- Blood and brain gene expression signatures of chronic intermittent ethanol consumption in mice.PLoS computational biology · 2022Article
- Ten Years of EWAS.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Review
- Epigenetic Targeting of Histone Deacetylases in Diagnostics and Treatment of Depression.International journal of molecular sciences · 2021Review
- Tissue-specific protective properties of lithium: comparison of rat kidney, erythrocytes and brain.Naunyn-Schmiedeberg's archives of pharmacology · 2021Article
- Positional cloning and comprehensive mutation analysis of a Japanese family with lithium-responsive bipolar disorder identifies a novel DOCK5 mutation.Journal of human genetics · 2021Article
- Biomarkers of Major Depressive Disorder: Knowing is Half the Battle.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2021Review
- Interleukin-1 Beta in Peripheral Blood Mononuclear Cell Lysates as a Longitudinal Biomarker of Response to Antidepressants: A Pilot Study.Frontiers in psychiatry · 2021Article
- Article
- The Roles of Lpar1 in Central Nervous System Disorders and Diseases.Frontiers in neuroscience · 2021Review
37 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
10 authors at 5 institutions in 1 country.
Funding
Abstract
There are to date no objective clinical laboratory blood tests for mood disorders. The current reliance on patient self-report of symptom severity and on the clinicians' impression is a rate-limiting step in effective treatment and new drug development. We propose, and provide proof of principle for, an approach to help identify blood biomarkers for mood state. We measured whole-genome gene expression differences in blood samples from subjects with bipolar disorder that had low mood vs those that had high mood at the time of the blood draw, and separately, changes in gene expression in brain and blood of a mouse pharmacogenomic model. We then integrated our human blood gene expression data with animal model gene expression data, human genetic linkage/association data and human postmortem brain data, an approach called convergent functional genomics, as a Bayesian strategy for cross-validating and prioritizing findings. Topping our list of candidate blood biomarker genes we have five genes involved in myelination (Mbp, Edg2, Mag, Pmp22 and Ugt8), and six genes involved in growth factor signaling (Fgfr1, Fzd3, Erbb3, Igfbp4, Igfbp6 and Ptprm). All of these genes have prior evidence of differential expression in human postmortem brains from mood disorder subjects. A predictive score developed based on a panel of 10 top candidate biomarkers (five for high mood and five for low mood) shows sensitivity and specificity for high mood and low mood states, in two independent cohorts. Our studies suggest that blood biomarkers may offer an unexpectedly informative window into brain functioning and disease state.
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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.