Evidence map›Paper›PMID 31889537›Full record

ArticleBiological psychiatry2020

Cell Type-Specific Methylome-wide Association Studies Implicate Neurotrophin and Innate Immune Signaling in Major Depressive Disorder.

Robin F Chan, Gustavo Turecki, Andrey A Shabalin, Jerry Guintivano, Min Zhao, Lin Y Xie, Gerard van Grootheest, Zachary A Kaminsky, Brian Dean, Brenda W J H Penninx and 2 more

Open access · greenAbstract read
In one paragraph

Article in Biological psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
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  8. The researcher's guide to selecting biomarkers in mental health studies.BioEssays : news and reviews in molecular, cellular and developmental biology · 2024
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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

12 authors at 6 institutions in 4 countries.

Robin F ChanCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, Virginia.
Gustavo TureckiDouglas Mental Health University Institute and McGill University, Montréal, Québec, Canada.
Andrey A ShabalinCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, Virginia.
Jerry GuintivanoDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Min ZhaoCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, Virginia.
Lin Y XieCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, Virginia.
Gerard van GrootheestDepartment of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit and GGZ inGeest, Amsterdam, The Netherlands.
Zachary A KaminskyDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland; The Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada.
Brian DeanThe Molecular Psychiatry Laboratory, The Florey Institute of Neuroscience and Mental Health, Parkville, Australia; Centre for Mental Health, Swinburne University of Technology, Hawthorne, Victoria, Australia.
Brenda W J H PenninxDepartment of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit and GGZ inGeest, Amsterdam, The Netherlands.
Karolina A AbergCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, Virginia.
Edwin J C G van den OordCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, Virginia. Electronic address: ejvandenoord@vcu.edu.
Virginia Commonwealth University · USAmsterdam Neuroscience · NLDouglas Mental Health University Institute · CAFlorey Institute of Neuroscience and Mental Health · AUJohns Hopkins University · USUniversity of North Carolina at Chapel Hill · US

Funding

Prediction of suicide death using EHR and polygenic risk scoresR01MH123489 · NIMH · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI COON, HILARY · 2020 to 2025
$4.2M
Genetic analysis of high-risk Utah suicide pedigreesR01MH099134 · NIMH · UNIVERSITY OF UTAH · PI COON, HILARY · 2013 to 2017
$3.9M
Genome-Wide Association Analysis of Suicide DeathR01MH123619 · NIMH · UNIVERSITY OF UTAH · PI DOCHERTY, ANNA R. · 2020 to 2024
$3.2M
A longitudinal methylome study to detect biomarkers predicting MDD trajectoriesR01MH099110 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI VAN DEN OORD, EDWIN · 2013 to 2017
$2.9M
Genetic risk discovery using WGS from a population-based resource of 10,000 suicide deaths with DNAR01MH122412 · NIMH · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Hilary Coon · 2020 to 2026
$2.7M
NIMH NIH HHS R01 MH099110NIMH NIH HHS R01 MH099134NIMH NIH HHS R01 MH122412NIMH NIH HHS R01 MH123489NIMH NIH HHS R01 MH123619
6 · The paper itself

Abstract

backgroundWe sought to characterize methylation changes in brain and blood associated with major depressive disorder (MDD). As analyses of bulk tissue may obscure association signals and hamper the biological interpretation of findings, these changes were studied on a cell type-specific level.

methodsIn 3 collections of human postmortem brain (n = 206) and 1 collection of blood samples (N = 1132) of MDD cases and controls, we used epigenomic deconvolution to perform cell type-specific methylome-wide association studies within subpopulations of neurons/glia for the brain data and granulocytes/T cells/B cells/monocytes for the blood data. Sorted neurons/glia from a fourth postmortem brain collection (n = 58) were used for validation purposes.

resultsCell type-specific methylome-wide association studies identified multiple findings in neurons/glia that were detected across brain collections and were reproducible in physically sorted nuclei. Cell type-specific analyses in blood samples identified methylome-wide significant associations in T cells, monocytes, and whole blood that replicated findings from a past methylation study of MDD. Pathway analyses implicated p75 neurotrophin receptor/nerve growth factor signaling and innate immune toll-like receptor signaling in MDD. Top results in neurons, glia, bulk brain, T cells, monocytes, and whole blood were enriched for genes supported by genome-wide association studies for MDD and other psychiatric disorders.

conclusionsWe both replicated and identified novel MDD-methylation associations in human brain and blood samples at a cell type-specific level. Our results provide mechanistic insights into how the immune system may interact with the brain to affect MDD susceptibility. Importantly, our findings involved associations with MDD in human samples that implicated many closely related biological pathways. These disease-linked sites and pathways represent promising new therapeutic targets for MDD.

Indexed as

Major Depressive DisorderDNA MethylationEpigenomeGenome-Wide Association StudyHumansImmunity, InnateNerve Growth FactorsNerve Growth FactorsDepressionEpigeneticsImmune deconvolutionMethylationNerve growth factor

Identifiers

PMID31889537
PMCPMC9933050
OpenAlexW2989382642

What OpenQuestion holds

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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.