Evidence map›Paper›PMID 39403983›Full record

ArticleNeuropsychopharmacology reports2024

Biological aging analysis based on DNA methylation status for social anxiety disorder.

Nobuhiko Noguchi, Toshiyuki Shirai, Akira Suda, Saki Hattori, Masatoshi Miyauchi, Satoshi Okazaki, Junichi Fujita, Takeshi Asami, Ikuo Otsuka, Akitoyo Hishimoto

Abstract read
In one paragraph

Article in Neuropsychopharmacology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Nobuhiko NoguchiDepartment of Psychiatry, Yokohama City University Graduate School of Medicine, Yokohama, Japan.ORCID 0009-0000-0361-6474
Toshiyuki ShiraiDepartment of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan.ORCID 0009-0009-2058-1678
Akira SudaDepartment of Psychiatry, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Saki HattoriDepartment of Psychiatry, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Masatoshi MiyauchiDepartment of Psychiatry, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Satoshi OkazakiDepartment of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan.ORCID 0000-0001-5953-5526
Junichi FujitaPsychiatry Center of Yokohama City University Medical Center, Yokohama, Japan.
Takeshi AsamiDepartment of Psychiatry, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Ikuo OtsukaDepartment of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan.
Akitoyo HishimotoDepartment of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan.

Funding

Japan Society for the Promotion of Science JP20KK0194Japan Society for the Promotion of Science JP21K07545SENSHIN Medical Research Foundation
6 · The paper itself

Abstract

aimSocial anxiety disorder (SAD) is a common disorder characterized by excessive fear of scrutiny and embarrassment, leading to severe distress and avoidance behaviors or dysfunctions. SAD and other relevant diseases have been reported to be associated with a higher risk of aging-related diseases, such as Alzheimer's disease, Parkinson's disease, and diabetes mellitus. Recently, epigenetic clock analysis, which measures biological aging based on comprehensive DNA methylation (DNAm) status, has been widely conducted. We conducted epigenetic clock analyses in patients with SAD and controls, examining various epigenetic age acceleration and DNAm-based predictive values of aging-related proteins (GrimAge components and GrimAge2 components), including leptin level.

methodsWe used the publicly available DNAm dataset, GSE164056, which consists of 66 patients with SAD and 77 controls of Caucasian descent aged between 18 and 50 years. We conducted regression analyses investigating the association between SAD and various indices of epigenetic aging, using age and sex as covariates.

resultsNone of the epigenetic clocks showed significant differences in age acceleration. Of the DNAm-based predictive values of aging-related proteins, leptin level in GrimAge components (q = 0.0123) and GrimAge2 components (q = 0.0123) were significantly lower in patients with SAD than in controls.

conclusionsThe results of this study suggested that leptin may be involved in SAD pathogenesis as an aging-related protein. Therefore, further studies with different designs are required.

Indexed as

AgingDNA MethylationEpigenesis, GeneticPhobia, SocialAdolescentAdultFemaleHumansLeptinMaleMiddle AgedYoung AdultLeptinaginganxietyhypothalamusleptinmethylation

Identifiers

PMID39403983
PMCPMC11609738

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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.