Evidence map›Paper›PMID 34247653›Full record

ArticleClinical epigenetics2021

DNA methylation under the major depression pathway predicts pediatric quality of life four-month post-pediatric mild traumatic brain injury.

Kuaikuai Duan, Andrew R Mayer, Nicholas A Shaff, Jiayu Chen, Dongdong Lin, Vince D Calhoun, Dawn M Jensen, Jingyu Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical epigenetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

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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

8 authors.

Kuaikuai DuanDepartment of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA.
Andrew R MayerThe Mind Research Network, Lovelace Biomedical and Environmental Research Institute, Albuquerque, USA.
Nicholas A ShaffThe Mind Research Network, Lovelace Biomedical and Environmental Research Institute, Albuquerque, USA.
Jiayu ChenTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, 55 Park Place NE, 18th Floor, Atlanta, GA, 30303, USA.
Dongdong LinTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, 55 Park Place NE, 18th Floor, Atlanta, GA, 30303, USA.
Vince D CalhounDepartment of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA.
Dawn M JensenThe Neuroscience Institute, Georgia State University, Atlanta, USA.
Jingyu LiuTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, 55 Park Place NE, 18th Floor, Atlanta, GA, 30303, USA. jliu75@gsu.edu.ORCID 0000-0002-1724-7523

Funding

Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
The Impact of Diffuse Mild Brain Injury on Clinical Outcomes in ChildrenR01NS098494 · NINDS · THE MIND RESEARCH NETWORK · PI Andrew Robert Mayer · 2016 to 2026
$7.6M
Male/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood dR01MH118695 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2019 to 2023
$3.8M
NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01EB006841NIMH NIH HHS R01 MH118695NIMH NIH HHS R01MH118695NINDS NIH HHS 1R01NS098494-01A1NINDS NIH HHS 3R01NS098494-03S1A1NINDS NIH HHS R01 NS098494
6 · The paper itself

Abstract

backgroundMajor depression has been recognized as the most commonly diagnosed psychiatric complication of mild traumatic brain injury (mTBI). Moreover, major depression is associated with poor outcomes following mTBI; however, the underlying biological mechanisms of this are largely unknown. Recently, genomic and epigenetic factors have been increasingly implicated in the recovery following TBI.

resultsThis study leveraged DNA methylation within the major depression pathway, along with demographic and behavior measures (features used in the clinical model) to predict post-concussive symptom burden and quality of life four-month post-injury in a cohort of 110 pediatric mTBI patients and 87 age-matched healthy controls. The results demonstrated that including DNA methylation markers in the major depression pathway improved the prediction accuracy for quality of life but not persistent post-concussive symptom burden. Specifically, the prediction accuracy (i.e., the correlation between the predicted value and observed value) of quality of life was improved from 0.59 (p = 1.20 × 10

conclusionThis study emphasized that both molecular and behavioral manifestations of depression symptoms played a prominent role in predicting the recovery process following pediatric mTBI, suggesting the urgent need to further study TBI-caused depression symptoms for better recovery outcome.

Indexed as

AdolescentBrain ConcussionChildCohort StudiesDNA MethylationFemaleHumansMajor Depressive DisorderMaleQuality of LifeSwitzerlandDepressionDNA methylationPediatric mild traumatic brain injuryPediatric quality of lifePost-concussion symptom burden

Identifiers

PMID34247653
PMCPMC8274037

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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.