Longitudinal associations between BDNF promoter methylation and late-life depression
Abstract
Reduced brain-derived neurotrophic factor (BDNF) function has been suggested as a risk factor for late-life depression. BDNF secretion is influenced by epigenetic (DNA promoter methylation) and genetic (val66met polymorphism) profiles. We investigated the independent and interactive effects of BDNF methylation and val66met polymorphism on late-life depression. In total, 732 Korean community residents aged ≥ 65 years were evaluated, and 521 of them without depression at baseline were followed up 2 years later. Depression was determined using the Geriatric Mental State Schedule, and depression severity was evaluated with the Geriatric Depression Scale. Demographic and clinical covariates were obtained. The effects of BDNF methylation and polymorphism on the diagnosis of depression were investigated using a multivariate logistic regression model, and the relationships between BDNF methylation and depression severity were evaluated using partial correlation tests. Higher BDNF methylation was independently associated with the prevalence and incidence of depression and severe depressive symptoms. No significant methylation-genotype interactions were found. BDNF promoter methylation could be a proxy biomarker for depression late in life.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Unbiased genome-wide studies using peripheral blood have reported epigenetic alterations in genes predominantly unassociated with established candidate genes such as SLC6A4 and BDNF.
“Unbiased, genome-wide studies using peripheral blood have reported epigenetic alterations in genes predominantly unassociated with established candidate genes selected based on known pathogenic findings, such as the serotonin transporter gene (SLC6A4) and brain-derived neurotrophic factor (BDNF),89–93”
From Epigenetic regulation in major depression and other stress-related disorders: molecular mechanisms, clinical relevance and therapeutic potential (2023) · cites this paper as [92]
The citation lists haven’t been fetched yet
References 49 · Cited by 65
- Authors
- Kang, H.-J., Kim, J.-M., Bae, K.-Y., Kim, S.-W., Shin, I.-S., Kim, H.-R., Shin, M.-G., & Yoon, J.-S.
- Affiliations
- Chonnam National University (KR)
- Corresponding author
- Kim, Jae-Min
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 36
- Issue
- 4
- Pages
- 1764.e1-1764.e7
- ISSN
- 0197-4580 (ISSN-L)
- OpenAlex
- W1996359710
- Cited by
- 65
- References
- 49
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 4 · 2023: 9 · 2022: 10 · 2021: 6 · 2020: 5 · 2019: 6 · 2018: 3 · 2017: 4 · 2016: 5 · 2015: 3
- FWCI
- 2.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ministry of Health and Welfare (HI12C0003)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- brain-derived neurotrophic factor, promoter methylation, epigenetics, geriatric depression, BDNF Val66Met polymorphism, depression severity, biomarkers, older adults, depression incidence
- MeSH terms
- Aged, Depression, Female, Follow-Up Studies, Humans, Male, Polymorphism, Genetic, Promoter Regions, Genetic, Risk Factors, Severity of Illness Index, Biomarkers, Incidence, Logistic Models, DNA Methylation, Brain-Derived Neurotrophic Factor
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
