Evidence map›Paper›PMID 30971689›Full record

ArticleNPJ schizophrenia2019

Altered gene expression in antipsychotic-induced weight gain.

Benedicto Crespo-Facorro, Carlos Prieto, Jesus Sainz

Abstract read
In one paragraph

Article in NPJ schizophrenia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Mechanism and treatments of antipsychotic-induced weight gain.International journal of obesity (2005) · 2023
    Review
  5. Article
  6. Polygenic risk scores enhance prediction of body mass index increase in individuals with a first episode of psychosis.European psychiatry : the journal of the Association of European Psychiatrists · 2023
    Article
  7. Review
  8. Article
  9. Alterations in Immune-Related Defensin Alpha 4 (International journal of inflammation · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. 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

3 authors.

Benedicto Crespo-FacorroDepartment of Psychiatry, School of Medicine, University Hospital Marqués de Valdecilla, IDIVAL, HU Virgen del Rocio-IBIS-Universidad de Sevilla, University of Cantabria, Santander, Spain. benedicto.crespo@unican.es.
Carlos PrietoBioinformatics Service, Nucleus, University of Salamanca (USAL), Salamanca, Spain.ORCID http://orcid.org/0000-0001-8178-9768
Jesus SainzSpanish National Research Council (CSIC), Institute of Biomedicine and Biotechnology of Cantabria (IBBTEC), Santander, Spain. sainzjv@unican.es.

Funding

Genome Wide Association Study for Childhood ObesityR01HD056465 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI GRANT, STRUAN F A · 2008 to 2024
$9.5M
NICHD NIH HHS R01 HD056465
6 · The paper itself

Abstract

Antipsychotic drugs are one of the largest types of prescribed drugs. However, antipsychotic-induced weight gain (AIWG) is a major problem for the patients. AIWG increases cardiovascular and cerebrovascular morbidity and mortality, and reduces quality of life and drug compliance. To characterize changes in gene expression related to AIWG, we sequenced total messenger RNA from the blood samples of two groups of schizophrenia patients before and after 3 months of treatment with antipsychotics. The "weight gain" group was defined by an increase of body mass index (BMI) >1.5 points (18 patients; median BMI increase = 2.69) and the "no weight gain" group was defined by a change of BMI between <1.0 and >-1.0 points (18 patients; median BMI increase = 0.26). We found 115 genes with significant differential expression in the weight gain group before and after medication and 156 in the no weight gain group before and after medication. The weight gain group was significantly enriched with genes related to "obesity" and "BMI" (Fisher; p = 0.0002 and 0.01, respectively) according to the Gene Reference into Function (GeneRIF) database. In the no weight gain group, the enrichment was much smaller (Fisher; p = 0.02 and 0.79). This study is a first step toward detecting genetic factors that cause AIWG and to generating prediction tests in future studies with larger data sets.

Identifiers

PMID30971689
PMCPMC6458173

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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.