Evidence map›Paper›PMID 39384764›Full record

ArticleTranslational psychiatry2024

Multi-omics profiling of DNA methylation and gene expression alterations in human cocaine use disorder.

Eric Zillich, Hanna Belschner, Diana Avetyan, Diego Andrade-Brito, José Jaime Martínez-Magaña, Josef Frank, Naguib Mechawar, Gustavo Turecki, Judit Cabana-Domínguez, Noèlia Fernàndez-Castillo and 8 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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  5. Review
  6. Review
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

18 authors.

Eric ZillichDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Hanna BelschnerDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Diana AvetyanDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Diego Andrade-BritoDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
José Jaime Martínez-MagañaDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Josef FrankDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0003-4867-9465
Naguib MechawarMcGill Group for Suicide Studies, Douglas Mental Health University Institute, Montreal, QC, Canada.ORCID 0000-0003-4960-756X
Gustavo TureckiMcGill Group for Suicide Studies, Douglas Mental Health University Institute, Montreal, QC, Canada.ORCID 0000-0003-4075-2736
Judit Cabana-DomínguezPsychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.ORCID 0000-0002-4732-7284
Noèlia Fernàndez-CastilloDepartment de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, and Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain.
Bru CormandDepartment de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, and Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain.ORCID 0000-0001-5318-4382
Janitza L Montalvo-OrtizDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-7657-8365
Markus M NöthenInstitute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany.
Anita C HanssonInstitute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0003-1821-3920
Marcella RietschelDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0002-5236-6149
Rainer SpanagelInstitute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0003-2151-4521
Stephanie H WittDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany. stephanie.witt@zi-mannheim.de.ORCID 0000-0002-1571-1468
Lea ZillichDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0001-7457-374X

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) TRR265
6 · The paper itself

Abstract

Structural and functional changes of the brain are assumed to contribute to excessive cocaine intake, craving, and relapse in cocaine use disorder (CUD). Epigenetic and transcriptional changes were hypothesized as a molecular basis for CUD-associated brain alterations. Here we performed a multi-omics study of CUD by integrating epigenome-wide methylomic (N = 42) and transcriptomic (N = 25) data from the same individuals using postmortem brain tissue of Brodmann Area 9 (BA9). Of the N = 1 057 differentially expressed genes (p < 0.05), one gene, ZFAND2A, was significantly upregulated in CUD at transcriptome-wide significance (q < 0.05). Differential alternative splicing (AS) analysis revealed N = 98 alternatively spliced transcripts enriched in axon and dendrite extension pathways. Strong convergent overlap in CUD-associated expression deregulation was found between our BA9 cohort and independent replication datasets. Epigenomic, transcriptomic, and AS changes in BA9 converged at two genes, ZBTB4 and INPP5E. In pathway analyses, synaptic signaling, neuron morphogenesis, and fatty acid metabolism emerged as the most prominently deregulated biological processes. Drug repositioning analysis revealed glucocorticoid receptor targeting drugs as most potent in reversing the CUD expression profile. Our study highlights the value of multi-omics approaches for an in-depth molecular characterization and provides insights into the relationship between CUD-associated epigenomic and transcriptomic signatures in the human prefrontal cortex.

Indexed as

Cocaine-Related DisordersDNA MethylationTranscriptomeAdultBrainEpigenesis, GeneticEpigenomicsFemaleGene Expression ProfilingHumansMaleMiddle AgedMultiomicsPrefrontal Cortex

Identifiers

PMID39384764
PMCPMC11464785

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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.