Evidence map›Paper›PMID 29302075›Full record

ArticleMolecular psychiatry2018

FoxO1, A2M, and TGF-β1: three novel genes predicting depression in gene X environment interactions are identified using cross-species and cross-tissues transcriptomic and miRNomic analyses.

Annamaria Cattaneo, Nadia Cattane, Chiara Malpighi, Darina Czamara, Anna Suarez, Nicole Mariani, Eero Kajantie, Alessia Luoni, Johan G Eriksson, Jari Lahti and 6 more

Open access · hybridAbstract 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 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
18.1field-weighted citation impact, top 1% 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 87 citations in OpenAlex.

  1. Pooled it
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  16. Research progress on the correlation between transforming growth factor-Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2023
    Review
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  20. Potential Candidates for Biomarkers in Bipolar Disorder: A Proteomic Approach through Systems Biology.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022
    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

16 authors at 6 institutions in 5 countries.

Annamaria CattaneoStress, Psychiatry and Immunology Laboratory, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK. annamaria.cattaneo@kcl.ac.uk.
Nadia CattaneBiological Psychiatry Unit, IRCCS Fatebenefratelli S. Giovanni di Dio, Brescia, Italy.
Chiara MalpighiBiological Psychiatry Unit, IRCCS Fatebenefratelli S. Giovanni di Dio, Brescia, Italy.
Darina CzamaraDepartment of Translational Research in Psychiatry, Max-Planck Institute of Psychiatry, Munich, Germany.
Anna SuarezDepartment of Psychology and Logopedics, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0001-5935-2498
Nicole MarianiStress, Psychiatry and Immunology Laboratory, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK.
Eero KajantieNational Institute for Health and Welfare, Helsinki, Finland.
Alessia LuoniDepartment of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy.
Johan G ErikssonNational Institute for Health and Welfare, Helsinki, Finland.
Jari LahtiDepartment of Psychology and Logopedics, University of Helsinki, Helsinki, Finland.
Valeria MondelliStress, Psychiatry and Immunology Laboratory, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK.
Paola DazzanDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Katri RäikkönenDepartment of Psychology and Logopedics, University of Helsinki, Helsinki, Finland.
Elisabeth B BinderDepartment of Translational Research in Psychiatry, Max-Planck Institute of Psychiatry, Munich, Germany.
Marco A RivaDepartment of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy.
Carmine M ParianteStress, Psychiatry and Immunology Laboratory, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK.ORCID http://orcid.org/0000-0002-9132-5091
King's College London · GBUniversity of Helsinki · FICentro San Giovanni di Dio Fatebenefratelli · ITUniversity of Milan · ITEmory University · USMax Planck Institute of Psychiatry · DE

Funding

Department of HealthMedical Research Council G108/603Medical Research Council MR/J002739/1Medical Research Council MR/L014815/1Medical Research Council MR/N029488/1
6 · The paper itself

Abstract

To date, gene-environment (GxE) interaction studies in depression have been limited to hypothesis-based candidate genes, since genome-wide (GWAS)-based GxE interaction studies would require enormous datasets with genetics, environmental, and clinical variables. We used a novel, cross-species and cross-tissues "omics" approach to identify genes predicting depression in response to stress in GxE interactions. We integrated the transcriptome and miRNome profiles from the hippocampus of adult rats exposed to prenatal stress (PNS) with transcriptome data obtained from blood mRNA of adult humans exposed to early life trauma, using a stringent statistical analyses pathway. Network analysis of the integrated gene lists identified the Forkhead box protein O1 (FoxO1), Alpha-2-Macroglobulin (A2M), and Transforming Growth Factor Beta 1 (TGF-β1) as candidates to be tested for GxE interactions, in two GWAS samples of adults either with a range of childhood traumatic experiences (Grady Study Project, Atlanta, USA) or with separation from parents in childhood only (Helsinki Birth Cohort Study, Finland). After correction for multiple testing, a meta-analysis across both samples confirmed six FoxO1 SNPs showing significant GxE interactions with early life emotional stress in predicting depressive symptoms. Moreover, in vitro experiments in a human hippocampal progenitor cell line confirmed a functional role of FoxO1 in stress responsivity. In secondary analyses, A2M and TGF-β1 showed significant GxE interactions with emotional, physical, and sexual abuse in the Grady Study. We therefore provide a successful 'hypothesis-free' approach for the identification and prioritization of candidate genes for GxE interaction studies that can be investigated in GWAS datasets.

Indexed as

Adultalpha-MacroglobulinsAnimalsCohort StudiesDepressionDepressive DisorderDisease Models, AnimalFemaleForkhead Box Protein O1Gene-Environment InteractionGenetic Predisposition to DiseaseGenetic TestingGenome-Wide Association StudyGenotypeHumansMaleA2M protein, humanalpha-MacroglobulinsForkhead Box Protein O1FOXO1 protein, humanMicroRNAsNerve Tissue ProteinsTransforming Growth Factor beta1

Identifiers

PMID29302075
PMCPMC6283860
OpenAlexW2767319136

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.