Evidence map›Paper›PMID 24167345›Full record

ReviewDisease markers2013

Coding and noncoding gene expression biomarkers in mood disorders and schizophrenia.

Firoza Mamdani, Maureen V Martin, Todd Lencz, Brandi Rollins, Delbert G Robinson, Emily A Moon, Anil K Malhotra, Marquis P Vawter

Abstract readReview
In one paragraph

Review in Disease markers, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
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  9. Review
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  12. Review
  13. Differential Gene Expression in Age-Related Macular Degeneration.Cold Spring Harbor perspectives in medicine · 2014
    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

8 authors.

Firoza MamdaniDepartment of Psychiatry and Human Behavior, Functional Genomics Laboratory, University of California, Irvine, CA 92697-4260, USA.
Maureen V Martin
Todd Lencz
Brandi Rollins
Delbert G Robinson
Emily A Moon
Anil K Malhotra
Marquis P Vawter

Funding

Mitochondrial Dysfunction In SchizophreniaR01MH085801 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI VAWTER, MARQUIS PHILIP · 2009 to 2020
$5.0M
Mitochondrial Deletions in Mood DisordersR21MH099440 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI VAWTER, MARQUIS PHILIP · 2013 to 2014
$424k
NIMH NIH HHS MH085801NIMH NIH HHS MH099440NIMH NIH HHS R01 MH085801NIMH NIH HHS R21 MH099440
6 · The paper itself

Abstract

Mood disorders and schizophrenia are common and complex disorders with consistent evidence of genetic and environmental influences on predisposition. It is generally believed that the consequences of disease, gene expression, and allelic heterogeneity may be partly the explanation for the variability observed in treatment response. Correspondingly, while effective treatments are available for some patients, approximately half of the patients fail to respond to current neuropsychiatric treatments. A number of peripheral gene expression studies have been conducted to understand these brain-based disorders and mechanisms of treatment response with the aim of identifying suitable biomarkers and perhaps subgroups of patients based upon molecular fingerprint. In this review, we summarize the results from blood-derived gene expression studies implemented with the aim of discovering biomarkers for treatment response and classification of disorders. We include data from a biomarker study conducted in first-episode subjects with schizophrenia, where the results provide insight into possible individual biological differences that predict antipsychotic response. It is concluded that, while peripheral studies of expression are generating valuable results in pathways involving immune regulation and response, larger studies are required which hopefully will lead to robust biomarkers for treatment response and perhaps underlying variations relevant to these complex disorders.

Indexed as

AnimalsAntipsychotic AgentsBiomarkersBipolar DisorderExomeGene ExpressionHumansMajor Depressive DisorderOpen Reading FramesRNA, UntranslatedSchizophreniaTreatment OutcomeAntipsychotic AgentsBiomarkersRNA, Untranslated

Identifiers

PMID24167345
PMCPMC3774957

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.