Evidence map›Paper›PMID 29180674›Full record

ArticleMolecular psychiatry2018

Why is there selective subcortical vulnerability in ADHD? Clues from postmortem brain gene expression data.

J L Hess, G C Akutagava-Martins, J D Patak, S J Glatt, S V Faraone

Open access · greenAbstract read
In one paragraph

Article in Molecular psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
3.5field-weighted citation impact, top 7% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 44 citations in OpenAlex.

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  9. Imaging Transcriptomics of Brain Disorders.Biological psychiatry global open science · 2022
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4 · The record

Corrections and comments

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

5 authors at 1 institution in 1 country.

J L HessDepartment of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA.
G C Akutagava-MartinsDepartment of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA.
J D PatakDepartment of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA.
S J GlattDepartment of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA.
S V FaraoneDepartment of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA. sfaraone@childpsychresearch.org.
SUNY Upstate Medical University · US

Funding

Longitudinal Family/Molecular Genetic Study to Validate Research Domain CriteriaR01MH101519 · NIMH · UPSTATE MEDICAL UNIVERSITY · PI FARAONE, STEPHEN V, GLATT, STEPHEN J · 2014 to 2018
$3.5M
3/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109536 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHARNEY, ALEXANDER W, HUCKINS, LAURA MARIANNE · 2016 to 2020
$2.7M
NIMH NIH HHS R01 MH101519NIMH NIH HHS U01 MH109536
6 · The paper itself

Abstract

Sub-cortical volumetric differences were associated with attention-deficit/hyperactivity disorder (ADHD) in a recent multi-site, mega-analysis of 1713 ADHD persons and 1529 controls. As there was a wide range of effect sizes among the sub-cortical volumes, it is possible that selective neuronal vulnerability has a role in these volumetric losses. To address this possibility, we used data from Allen Brain Atlas to investigate variability in gene expression profiles between subcortical regions of typically developing brains. We tested the hypothesis that the expression of genes in a set of curated ADHD candidate genes and five a priori selected, biological pathways would be associated with the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) findings. Across the subcortical regions studied by ENIGMA, gene expression profiles for three pathways were significantly correlated with ADHD-associated volumetric reductions: apoptosis, oxidative stress and autophagy. These correlations were strong and significant for children with ADHD, but not for adults. Although preliminary, these data suggest that variability of structural brain anomalies in ADHD can be explained, in part, by the differential vulnerability of these regions to mechanisms mediating apoptosis, oxidative stress and autophagy.

Indexed as

AdolescentAdultAttention Deficit Disorder with HyperactivityBrainChildChild, PreschoolFemaleGene ExpressionGenetic Association StudiesHumansMaleMeta-Analysis as TopicMicroarray AnalysisMiddle AgedOrgan SizeTranscriptome

Identifiers

PMID29180674
PMCPMC6985986
OpenAlexW2768561058

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Registered trials

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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.