Evidence map›Paper›PMID 23384232›Full record

ReviewBMC medicine2013

Depression pathogenesis and treatment: what can we learn from blood mRNA expression?

Nilay Hepgul, Annamaria Cattaneo, Patricia A Zunszain, Carmine M Pariante

Abstract readReview
In one paragraph

Review in BMC medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 2 pooled it
–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

55 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Changes in RNA expression levels during antidepressant treatment: a systematic review.Journal of neural transmission (Vienna, Austria : 1996) · 2021
    Pooled it
  2. Genetic Contributions of Inflammation to Depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2017
    Pooled it
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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

4 authors.

Nilay HepgulSection of Perinatal Psychiatry & Stress, Department of Psychological Medicine, Institute of Psychiatry, King's College London, 125 Coldharbour Lane, London, SE5 9NU, UK.
Annamaria Cattaneo
Patricia A Zunszain
Carmine M Pariante

Funding

Medical Research Council G108/603Medical Research Council MR/J002739/1
6 · The paper itself

Abstract

Alterations in several biological systems, including the neuroendocrine and immune systems, have been consistently demonstrated in patients with major depressive disorder. These alterations have been predominantly studied using easily accessible systems such as blood and saliva. In recent years there has been an increasing body of evidence supporting the use of peripheral blood gene expression to investigate the pathogenesis of depression, and to identify relevant biomarkers. In this paper we review the current literature on gene expression alterations in depression, focusing in particular on three important and interlinked biological domains: inflammation, glucocorticoid receptor functionality and neuroplasticity. We also briefly review the few existing transcriptomics studies. Our review summarizes data showing that patients with major depressive disorder exhibit an altered pattern of expression in several genes belonging to these three biological domains when compared with healthy controls. In particular, we show evidence for a pattern of 'state-related' gene expression changes that are normalized either by remission or by antidepressant treatment. Taken together, these findings highlight the use of peripheral blood gene expression as a clinically relevant biomarker approach.

Indexed as

TranscriptomeDepressionHumansInflammationMicroarray AnalysisNeuronal PlasticityReceptors, GlucocorticoidReceptors, Glucocorticoid

Identifiers

PMID23384232
PMCPMC3606439

What Socratic holds

Textmetadata
LicenceCC BY
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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.