Evidence map›Paper›PMID 34541665›Full record

SynthesisJournal of child psychology and psychiatry, and allied disciplines2022

A methylation study implicates the rewiring of brain neural circuits during puberty in the emergence of sex differences in depression symptoms.

Robin F Chan, William E Copeland, Min Zhao, Lin Y Xie, Jane Costello, Karolina A Aberg, Edwin J C G van den Oord

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of child psychology and psychiatry, and allied disciplines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Editorial: The critical need to assess pubertal development in studies of child and adolescent psychopathology.Journal of child psychology and psychiatry, and allied disciplines · 2022
    Article
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

7 authors at 3 institutions in 1 country.

Robin F ChanCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-1774-4087
William E CopelandVermont Center for Children, Youth, and Families, Department of Psychiatry, University of Vermont Medical Center, Burlington, VA, USA.ORCID 0000-0002-1348-7781
Min ZhaoCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Lin Y XieCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Jane CostelloDuke University Medical Center, Durham, NC, USA.
Karolina A AbergCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Edwin J C G van den OordCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Virginia Commonwealth University · USDuke Medical Center · USUniversity of Vermont Medical Center · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Developmental methylomics of childhood trauma and its health consequencesR01MH104576 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI VAN DEN OORD, EDWIN · 2014 to 2018
$3.1M
A longitudinal methylome study to detect biomarkers predicting MDD trajectoriesR01MH099110 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI VAN DEN OORD, EDWIN · 2013 to 2017
$2.9M
NCATS NIH HHS UL1 TR001863NIMH NIH HHS R01 MH099110NIMH NIH HHS R01 MH104576
6 · The paper itself

Abstract

backgroundWomen are 1.5-3 times more likely to suffer from depression than men. This sex bias first emerges during puberty and then persists across the reproductive years. As the cause remains largely elusive, we performed a methylation-wide association study (MWAS) to generate novel hypotheses.

methodsWe assayed nearly all 28 million possible methylation sites in blood in 595 blood samples from 487 participants aged 9-17. MWASs were performed to identify methylation sites associated with increasing sex differences in depression symptoms as a function of pubertal stage. Epigenetic deconvolution was applied to perform analyses on a cell-type specific level.

resultsIn monocytes, a substantial number of significant associations were detected after controlling the FDR at 0.05. These results could not be explained by plasma testosterone/estradiol or current/lifetime trauma. Our top results in monocytes were significantly enriched (ratio of 2.48) for genes in the top of a large genome-wide association study (GWAS) meta-analysis of depression and neurodevelopment-related Gene Ontology (GO) terms that remained significant after correcting for multiple testing. Focusing on our most robust findings (70 genes overlapping with the GWAS meta-analysis and the significant GO terms), we find genes coding for members of each of the major classes of axon guidance molecules (netrins, slits, semaphorins, ephrins, and cell adhesion molecules). Many of these genes were previously implicated in rodent studies of brain development and depression-like phenotypes, as well as human methylation, gene expression and GWAS studies.

conclusionsOur study suggests that the emergence of sex differences in depression may be related to the differential rewiring of brain circuits between boys and girls during puberty.

Indexed as

Genome-Wide Association StudySex CharacteristicsBrainDepressionDNA MethylationFemaleHumansMalePubertyAffective disordersbiomarkersepigeneticssex differences

Identifiers

PMID34541665
PMCPMC8933287
OpenAlexW3200546820

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.