Evidence map›Paper›PMID 22915023›Full record

ReviewDisease models & mechanisms2012

Obesity and psychotic disorders: uncovering common mechanisms through metabolomics.

Matej Oresic

Open access · goldAbstract readReview
In one paragraph

Review in Disease models & mechanisms, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

9 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. A rare-variant test for high-dimensional data.European journal of human genetics : EJHG · 2017
    Article
  5. Obesity and Asthma: Microbiome-Metabolome Interactions.American journal of respiratory cell and molecular biology · 2016
    Review
  6. Obesity, Asthma, and the Microbiome.Physiology (Bethesda, Md.) · 2016
    Review
  7. Review
  8. Review
  9. Molecular approaches in obesity studies.Gastroenterology and hepatology from bed to bench · 2013
    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

1 author at 1 institution in 1 country.

Matej OresicSystems Biology and Bioinformatics, VTT Technical Research Centre of Finland, Espoo, FIN-02044 VTT, Finland. matej.oresic@vtt.fi
VTT Technical Research Centre of Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary obesity and psychotic disorders are similar with respect to the associated changes in energy balance and co-morbidities, including metabolic syndrome. Such similarities do not necessarily demonstrate causal links, but instead suggest that specific causes of and metabolic disturbances associated with obesity play a pathogenic role in the development of co-morbid disorders, potentially even before obesity develops. Metabolomics - the systematic study of metabolites, which are small molecules generated by the process of metabolism - has been important in elucidating the pathways underlying obesity-associated co-morbidities. This review covers how recent metabolomic studies have advanced biomarker discovery and the elucidation of mechanisms underlying obesity and its co-morbidities, with a specific focus on metabolic syndrome and psychotic disorders. The importance of identifying metabolic markers of disease-associated intermediate phenotypes - traits modulated but not encoded by the DNA sequence - is emphasized. Such markers would be applicable as diagnostic tools in a personalized healthcare setting and might also open up novel therapeutic avenues.

Indexed as

MetabolomicsBiomarkersHumansLipid MetabolismMetabolic DiseasesObesityPsychotic DisordersBiomarkers

Identifiers

PMID22915023
PMCPMC3424458
OpenAlexW2162570500

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.