Evidence map›Paper›PMID 29950584›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2018

Cross-species evidence from human and rat brain transcriptome for growth factor signaling pathway dysregulation in major depression.

Lucia Carboni, Luca Marchetti, Mario Lauria, Peter Gass, Barbara Vollmayr, Amanda Redfern, Lesley Jones, Maria Razzoli, Karim Malki, Veronica Begni and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 23% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Current State of Modeling Human Psychiatric Disorders Using Zebrafish.International journal of molecular sciences · 2023
    Review
  8. Highly ExpressingJournal of immunology research · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Fibroblast Growth Factors in Depression.Frontiers in pharmacology · 2019
    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

14 authors at 8 institutions in 5 countries.

Lucia CarboniDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum University of Bologna, Bologna, Italy. lucia.carboni4@unibo.it.ORCID http://orcid.org/0000-0001-9335-3312
Luca MarchettiThe Microsoft Research - University of Trento Centre for Computational and Systems Biology, Rovereto, Trento, Italy.ORCID http://orcid.org/0000-0001-9043-7705
Mario LauriaThe Microsoft Research - University of Trento Centre for Computational and Systems Biology, Rovereto, Trento, Italy.
Peter GassRG Animal Models in Psychiatry, Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
Barbara VollmayrRG Animal Models in Psychiatry, Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
Amanda RedfernMRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.
Lesley JonesMRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.
Maria RazzoliDepartment of Integrative Biology and Physiology University of Minnesota, 2231 6th Street SE, Minneapolis, USA.
Karim MalkiKing's College London, at the Institute of Psychiatry, Psychology and Neuroscience (IOPPN), London, UK.ORCID http://orcid.org/0000-0001-7120-3364
Veronica BegniDipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy.
Marco A RivaDipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy.ORCID http://orcid.org/0000-0002-1699-5060
Enrico DomeniciThe Microsoft Research - University of Trento Centre for Computational and Systems Biology, Rovereto, Trento, Italy.ORCID http://orcid.org/0000-0001-7436-6919
Laura CaberlottoThe Microsoft Research - University of Trento Centre for Computational and Systems Biology, Rovereto, Trento, Italy.
Aleksander A MathéKarolinska Institutet, Department of Clinical Neuroscience, Stockholm, Sweden.
University of Trento · ITCardiff University · GBHeidelberg University · DEUniversity of Milan · ITKarolinska Institutet · SEKing's College London · GBUniversity of Bologna · ITUniversity of Minnesota · US

Funding

EC | Sixth Framework Programme (European Union Sixth Framework Programme) LSHB-CT-2003-503428Medical Research Council MR/L010305/1Università di Bologna (University of Bologna) RFO2014
6 · The paper itself

Abstract

An enhanced understanding of the pathophysiology of depression would facilitate the discovery of new efficacious medications. To this end, we examined hippocampal transcriptional changes in rat models of disease and in humans to identify common disease signatures by using a new algorithm for signature-based clustering of expression profiles. The tool identified a transcriptomic signature comprising 70 probesets able to discriminate depression models from controls in both Flinders Sensitive Line and Learned Helplessness animals. To identify disease-relevant pathways, we constructed an expanded protein network based on signature gene products and performed functional annotation analysis. We applied the same workflow to transcriptomic profiles of depressed patients. Remarkably, a 171-probesets transcriptional signature which discriminated depressed from healthy subjects was identified. Rat and human signatures shared the SCARA5 gene, while the respective networks derived from protein-based significant interactions with signature genes contained 25 overlapping genes. The comparison between the most enriched pathways in the rat and human signature networks identified a highly significant overlap (p-value: 3.85 × 10

Indexed as

AnimalsBrain ChemistryComputational BiologyGene Expression ProfilingGene Expression RegulationHelplessness, LearnedHippocampusHumansIntercellular Signaling Peptides and ProteinsMajor Depressive DisorderMaleRatsScavenger Receptors, Class ASignal TransductionSpecies SpecificityTranscriptomeIntercellular Signaling Peptides and ProteinsSCARA5 protein, humanScavenger Receptors, Class A

Identifiers

PMID29950584
PMCPMC6098161
OpenAlexW2808204289

What OpenQuestion holds

Textmetadata
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.