Literature DB >> 19358997

Genome-wide expression analysis of peripheral blood identifies candidate biomarkers for schizophrenia.

Martina Rojnic Kuzman1, Vesna Medved, Janos Terzic, Dimitri Krainc.   

Abstract

The aim of this study was to analyze gene expression in blood of patients with newly-diagnosed schizophrenia during their first psychotic episode and subsequent remission. Whole blood samples were obtained from 32 untreated patients presenting with their first psychotic episode suggestive of schizophrenia and 32 age- and gender-matched controls. Using Affymetrix micoarrays, we identified significantly altered expression of 180 gene probes in psychotic patients compared to controls. A subset of four significantly changed genes was further confirmed with QRT-PCR. The following genes were significantly altered in patients: glucose transporter, SLC2A3 (p<0.001) and actin assembly factor DAAM2 (p<0.001) were increased, whereas translation, zinc metallopeptidase, neurolysin 1 and myosin C were significantly decreased (p<0.05). Expression of these candidate markers was also analyzed in a longitudinal study (12-24 months) in 12 patients who achieved full remission. Interestingly, expression of DAAM2 returned to control levels in patients who were in remission after their first psychotic episode, suggesting that its expression correlates with diseases progression and/or response to treatment. In summary, we identified changes of gene expression from peripheral blood which might help discriminate patients with schizophrenia from controls. While these results are promising, especially for DAAM2 whose polymorphic variants have been found significantly associated with schizophrenia, it will be important to analyze larger cohorts of patients in order to firmly establish changes in gene expression as blood markers of schizophrenia.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19358997     DOI: 10.1016/j.jpsychires.2009.03.005

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  25 in total

1.  Expression QTL analysis of top loci from GWAS meta-analysis highlights additional schizophrenia candidate genes.

Authors:  Simone de Jong; Kristel R van Eijk; Dave W L H Zeegers; Eric Strengman; Esther Janson; Jan H Veldink; Leonard H van den Berg; Wiepke Cahn; René S Kahn; Marco P M Boks; Roel A Ophoff
Journal:  Eur J Hum Genet       Date:  2012-03-21       Impact factor: 4.246

Review 2.  Biomarkers in schizophrenia: A focus on blood based diagnostics and theranostics.

Authors:  Chi-Yu Lai; Elizabeth Scarr; Madhara Udawela; Ian Everall; Wei J Chen; Brian Dean
Journal:  World J Psychiatry       Date:  2016-03-22

3.  Network analysis of gene expression in peripheral blood identifies mTOR and NF-κB pathways involved in antipsychotic-induced extrapyramidal symptoms.

Authors:  S Mas; P Gassó; E Parellada; M Bernardo; A Lafuente
Journal:  Pharmacogenomics J       Date:  2015-01-27       Impact factor: 3.550

Review 4.  An integrative functional genomics approach for discovering biomarkers in schizophrenia.

Authors:  Marquis P Vawter; Firoza Mamdani; Fabio Macciardi
Journal:  Brief Funct Genomics       Date:  2011-12-08       Impact factor: 4.241

Review 5.  The first decade and beyond of transcriptional profiling in schizophrenia.

Authors:  P Adolfo Sequeira; Maureen V Martin; Marquis P Vawter
Journal:  Neurobiol Dis       Date:  2011-03-08       Impact factor: 5.996

Review 6.  Histone Modifications in Neurological Disorders.

Authors:  Bradley J Smith; Victor Corasolla Carregari
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

7.  A gene co-expression network in whole blood of schizophrenia patients is independent of antipsychotic-use and enriched for brain-expressed genes.

Authors:  Simone de Jong; Marco P M Boks; Tova F Fuller; Eric Strengman; Esther Janson; Carolien G F de Kovel; Anil P S Ori; Nancy Vi; Flip Mulder; Jan Dirk Blom; Birte Glenthøj; Chris D Schubart; Wiepke Cahn; René S Kahn; Steve Horvath; Roel A Ophoff
Journal:  PLoS One       Date:  2012-06-27       Impact factor: 3.240

8.  Convergent functional genomics of schizophrenia: from comprehensive understanding to genetic risk prediction.

Authors:  M Ayalew; H Le-Niculescu; D F Levey; N Jain; B Changala; S D Patel; E Winiger; A Breier; A Shekhar; R Amdur; D Koller; J I Nurnberger; A Corvin; M Geyer; M T Tsuang; D Salomon; N J Schork; A H Fanous; M C O'Donovan; A B Niculescu
Journal:  Mol Psychiatry       Date:  2012-05-15       Impact factor: 15.992

9.  MicroRNA expression aberration as potential peripheral blood biomarkers for schizophrenia.

Authors:  Chi-Yu Lai; Sung-Liang Yu; Ming H Hsieh; Chun-Houh Chen; Hsuan-Yu Chen; Chun-Chiang Wen; Yung-Hsiang Huang; Po-Chang Hsiao; Chuhsing Kate Hsiao; Chih-Min Liu; Pan-Chyr Yang; Hai-Gwo Hwu; Wei J Chen
Journal:  PLoS One       Date:  2011-06-29       Impact factor: 3.240

10.  TCF4 sequence variants and mRNA levels are associated with neurodevelopmental characteristics in psychotic disorders.

Authors:  K V Wirgenes; I E Sønderby; U K Haukvik; M Mattingsdal; M Tesli; L Athanasiu; K Sundet; J I Røssberg; A M Dale; A A Brown; I Agartz; I Melle; S Djurovic; O A Andreassen
Journal:  Transl Psychiatry       Date:  2012-05-08       Impact factor: 6.222

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.