Evidence mapPaperPMID 39440240Full record

ArticleFrontiers in genetics2024

Examining epigenetic aging in the post-mortem brain in attention deficit hyperactivity disorder.

Gauri G Shastri, Gustavo Sudre, Kwangmi Ahn, Benjamin Jung, Bhaskar Kolachana, Pavan K Auluck, Laura Elnitski, Philip Shaw

Abstract read
In one paragraph

Article in Frontiers in genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Gauri G ShastriSocial and Behavioral Research Branch, National Human Genome Research Institute, NIH, Bethesda, MD, United States.
Gustavo SudreSocial and Behavioral Research Branch, National Human Genome Research Institute, NIH, Bethesda, MD, United States.
Kwangmi AhnSocial and Behavioral Research Branch, National Human Genome Research Institute, NIH, Bethesda, MD, United States.
Benjamin JungSocial and Behavioral Research Branch, National Human Genome Research Institute, NIH, Bethesda, MD, United States.
Bhaskar KolachanaHuman Brain Collection Core, National Institute of Mental Health, NIH, Bethesda, MD, United States.
Pavan K AuluckHuman Brain Collection Core, National Institute of Mental Health, NIH, Bethesda, MD, United States.
Laura ElnitskiTranslational and Functional Genomics Branch, National Human Genome Research Institute, NIH, Bethesda, MD, United States.
Philip ShawSocial and Behavioral Research Branch, National Human Genome Research Institute, NIH, Bethesda, MD, United States.

Funding

Procurement and Characterization of Postmortem Brain TissueZICMH002903 · NATIONAL INSTITUTE OF MENTAL HEALTH · 2025 to 2025
$3.9M
The neurobehavioral, environmental and genetic factors impacting ADHD.ZIAHG200378 · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · 2025 to 2025
$212k
Intramural NIH HHS ZIA HG200378Intramural NIH HHS ZIC MH002903
6 · The paper itself

Abstract

Mathematical algorithms known as "epigenetic clocks" use methylation values at a set of CpG sites to estimate the biological age of an individual in a tissue-specific manner. These clocks have demonstrated both acceleration and delays in epigenetic aging in multiple neuropsychiatric conditions, including schizophrenia and neurodevelopmental disorders such as autism spectrum disorder. However, no study to date has examined epigenetic aging in ADHD despite its status as one of the most prevalent neurodevelopmental conditions, with 1 in 9 children having ever received an ADHD diagnosis in the US. Only a handful of studies have examined epigenetic age in brain tissue from neurodevelopmental conditions, with none focused on ADHD, despite the obvious relevance to pathogenesis. Thus, here we asked if post-mortem brain tissue in those with lifetime histories of ADHD would show accelerated or delayed epigenetic age, as has been found for other neurodevelopmental conditions. We applied four different epigenetic clocks to estimate epigenetic age in individuals with ADHD and unaffected controls from cortical (anterior cingulate cortex, N = 55) and striatal (caudate, N = 56) post-mortem brain tissue, as well as peripheral blood (N = 84) and saliva (N = 112). After determining which epigenetic clock performed best in each tissue, we asked if ADHD was associated with altered biological aging in corticostriatal brain and peripheral tissues. We found that a range of epigenetic clocks accurately predicted chronological age in all tissues. We also found that a diagnosis of ADHD was not significantly associated with differential epigenetic aging, neither for the postmortem ACC or caudate, nor for peripheral tissues. These findings held when accounting for comorbid psychiatric diagnoses, substance use, and stimulant medication. Thus, in this study of epigenetic clocks in ADHD, we find no evidence of altered epigenetic aging in corticostriatal brain regions nor in peripheral tissue. We consider reasons for this unexpected finding, including the limited sampling of brain regions, the age range of individuals studied, and the possibility that processes that accelerate epigenetic age may be counteracted by the developmental delay posited in some models of ADHD.

Indexed as

ADHD (attention deficit and hyperactivity disorder)biological ageDNA methylationepigenetic ageepigenetic clockpostmortem brain

Identifiers

PMID39440240
PMCPMC11493619

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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 Socratic graph.