Logo del repository
  1. Home
 
Opzioni

Differential gene expression analysis in blood of first episode psychosis patients

Leirer D. J.
•
Iyegbe C. O.
•
Di Forti M.
altro
Newhouse S. J.
2019
  • journal article

Periodico
SCHIZOPHRENIA RESEARCH
Abstract
Background: Psychosis is a condition influenced by an interaction of environmental and genetic factors. Gene expression studies can capture these interactions; however, studies are usually performed in patients who are in remission. This study uses blood of first episode psychosis patients, in order to characterise deregulated pathways associated with psychosis symptom dimensions. Methods: Peripheral blood from 149 healthy controls and 131 first episode psychosis patients was profiled using Illumina HT-12 microarrays. A case/control differential expression analysis was performed, followed by correlation of gene expression with positive and negative syndrome scale (PANSS) scores. Enrichment analyses were performed on the associated gene lists. We test for pathway differences between first episode psychosis patients who qualify for a Schizophrenia diagnosis against those who do not. Results: A total of 978 genes were differentially expressed and enriched for pathways associated to immune function and the mitochondria. Using PANSS scores we found that positive symptom severity was correlated with immune function, while negative symptoms correlated with mitochondrial pathways. Conclusions: Our results identified gene expression changes correlated with symptom severity and showed that key pathways are modulated by positive and negative symptom dimensions.
DOI
10.1016/j.schres.2019.05.011
WOS
WOS:000476868700012
Archivio
http://hdl.handle.net/11390/1218548
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85065772772
https://ricerca.unityfvg.it/handle/11390/1218548
Diritti
metadata only access
Soggetti
  • Anti-psychotic medica...

  • First episode psychos...

  • Gene expression

  • Immune system

  • PANSS

  • Transcriptome

  • Adolescent

  • Adult

  • Affective Disorders, ...

  • Bipolar Disorder

  • Case-Control Studie

  • Depressive Disorder

  • Female

  • Gene Expression Profi...

  • Gene Ontology

  • Human

  • Male

  • Oligonucleotide Array...

  • Psychotic Disorder

  • RNA

  • Schizophrenia

  • Schizophrenic Psychol...

  • Severity of Illness I...

  • Young Adult

  • Transcriptome

google-scholar
Get Involved!
  • Source Code
  • Documentation
  • Slack Channel
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your nstitution's web identity.

Need professional help?

The original creators of DSpace-CRIS at 4Science can take your project to the next level, get in touch!

Realizzato con Software DSpace-CRIS - Estensione mantenuta e ottimizzata da 4Science

  • Impostazioni dei cookie
  • Informativa sulla privacy
  • Accordo con l'utente finale
  • Invia il tuo Feedback