Blood diagnostic biomarkers for major depressive disorder using multiplex DNA methylation profiles: discovery and validation
- PMID: 25587773
- PMCID: PMC4622869
- DOI: 10.1080/15592294.2014.1003743
Blood diagnostic biomarkers for major depressive disorder using multiplex DNA methylation profiles: discovery and validation
Abstract
Aberrant DNA methylation in the blood of patients with major depressive disorder (MDD) has been reported in several previous studies. However, no comprehensive studies using medication-free subjects with MDD have been conducted. Furthermore, the majority of these previous studies has been limited to the analysis of the CpG sites in CpG islands (CGIs) in the gene promoter regions. The main aim of the present study is to identify DNA methylation markers that distinguish patients with MDD from non-psychiatric controls. Genome-wide DNA methylation profiling of peripheral leukocytes was conducted in two set of samples, a discovery set (20 medication-free patients with MDD and 19 controls) and a replication set (12 medication-free patients with MDD and 12 controls), using Infinium HumanMethylation450 BeadChips. Significant diagnostic differences in DNA methylation were observed at 363 CpG sites in the discovery set. All of these loci demonstrated lower DNA methylation in patients with MDD than in the controls, and most of them (85.7%) were located in the CGIs in the gene promoter regions. We were able to distinguish patients with MDD from the control subjects with high accuracy in the discriminant analysis using the top DNA methylation markers. We also validated these selected DNA methylation markers in the replication set. Our results indicate that multiplex DNA methylation markers may be useful for distinguishing patients with MDD from non-psychiatric controls.
Keywords: DNA methylation; biomarkers; blood; epigenetic; major depressive disorder; microarray; multiplex.
Figures



Similar articles
-
Genome-wide DNA methylation profiling of blood samples from patients with major depressive disorder: correlation with symptom heterogeneity.J Psychiatry Neurosci. 2025 Apr 2;50(2):E112-E124. doi: 10.1503/jpn.240126. Print 2025 Mar-Apr. J Psychiatry Neurosci. 2025. PMID: 40174930 Free PMC article.
-
DNA methylation signatures of peripheral leukocytes in schizophrenia.Neuromolecular Med. 2013 Mar;15(1):95-101. doi: 10.1007/s12017-012-8198-6. Epub 2012 Sep 9. Neuromolecular Med. 2013. PMID: 22961555
-
Investigating DNA Methylation of SHATI/NAT8L Promoter Sites in Blood of Unmedicated Patients with Major Depressive Disorder.Biol Pharm Bull. 2020;43(7):1067-1072. doi: 10.1248/bpb.b19-01099. Biol Pharm Bull. 2020. PMID: 32612069
-
Epigenetic Modifications of Major Depressive Disorder.Int J Mol Sci. 2016 Aug 5;17(8):1279. doi: 10.3390/ijms17081279. Int J Mol Sci. 2016. PMID: 27527165 Free PMC article. Review.
-
[Diagnostic biomarker of major depression based on DNA methylation].Seikagaku. 2017 Feb;89(1):94-7. Seikagaku. 2017. PMID: 29624966 Review. Japanese. No abstract available.
Cited by
-
The Independent Role of Body Mass Index (BMI) and Severity of Depressive Symptoms on Biological Changes of Women Affected by Overweight/Obesity.Int J Environ Res Public Health. 2021 Mar 12;18(6):2923. doi: 10.3390/ijerph18062923. Int J Environ Res Public Health. 2021. PMID: 33809270 Free PMC article.
-
The promise of biomarkers in diagnosing major depression in primary care: the present and future.Curr Psychiatry Rep. 2015 Aug;17(8):601. doi: 10.1007/s11920-015-0601-1. Curr Psychiatry Rep. 2015. PMID: 26081681 Review.
-
Epigenome-wide association study of DNA methylation in panic disorder.Clin Epigenetics. 2017 Jan 21;9:6. doi: 10.1186/s13148-016-0307-1. eCollection 2017. Clin Epigenetics. 2017. PMID: 28149334 Free PMC article.
-
Epistasis of HTR1A and BDNF risk genes alters cortical 5-HT1A receptor binding: PET results link genotype to molecular phenotype in depression.Transl Psychiatry. 2019 Jan 16;9(1):5. doi: 10.1038/s41398-018-0308-2. Transl Psychiatry. 2019. PMID: 30664620 Free PMC article.
-
Elevated BICD2 DNA methylation in blood of major depressive disorder patients and reduction of depressive-like behaviors in hippocampal Bicd2-knockdown mice.Proc Natl Acad Sci U S A. 2022 Jul 26;119(30):e2201967119. doi: 10.1073/pnas.2201967119. Epub 2022 Jul 18. Proc Natl Acad Sci U S A. 2022. PMID: 35858435 Free PMC article.
References
-
- Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry 2005; 62(6):593-602; PMID:15939837; http://dx.doi.org/10.1001/archpsyc.62.6.593 - DOI - PubMed
-
- Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, Ezzati M, Shibuya K, Salomon JA, Abdalla S, et al. . Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012; 380(9859):2197-223; PMID:23245608 - PubMed
-
- Ferrari AJ, Charlson FJ, Norman RE, Patten SB, Freedman G, Murray CJ, Vos T, Whiteford HA. Burden of depressive disorders by country, sex, age, and year: findings from the global burden of disease study 2010. PLoS Med 2013; 10(11):e1001547; PMID:24223526; http://dx.doi.org/10.1371/journal.pmed.1001547 - DOI - PMC - PubMed
-
- Mitchell AJ, Vaze A, Rao S. Clinical diagnosis of depression in primary care: a meta-analysis. Lancet 2009; 374(9690):609-19; PMID:19640579; http://dx.doi.org/10.1016/S0140-6736(09)60879-5 - DOI - PubMed
-
- Petronis A, Gottesman II, Crow TJ, DeLisi LE, Klar AJ, Macciardi F, McInnis MG, McMahon FJ, Paterson AD, Skuse D, et al. . Psychiatric epigenetics: a new focus for the new century. Mol Psychiatry 2000; 5:342-346; PMID:10889541; http://dx.doi.org/10.1038/sj.mp.4000750 - DOI - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Molecular Biology Databases