Abstract
The etiology and pathophysiology of schizophrenia remain unknown. A parallel transcriptomics, proteomics and metabolomics approach was employed on human brain tissue to explore the molecular disease signatures. Almost half the altered proteins identified by proteomics were associated with mitochondrial function and oxidative stress responses. This was mirrored by transcriptional and metabolite perturbations. Cluster analysis of transcriptional alterations showed that genes related to energy metabolism and oxidative stress differentiated almost 90% of schizophrenia patients from controls, while confounding drug effects could be ruled out. We propose that oxidative stress and the ensuing cellular adaptations are linked to the schizophrenia disease process and hope that this new disease concept may advance the approach to treatment, diagnosis and disease prevention of schizophrenia and related syndromes.
| Original language | English |
|---|---|
| Pages (from-to) | 684-697 |
| Number of pages | 14 |
| Journal | Molecular Psychiatry |
| Volume | 9 |
| Issue number | 7 |
| Early online date | 20 Apr 2004 |
| DOIs | |
| Publication status | Published - Jul 2004 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Functional genomics
- Gene ontology
- Mitochondria
- Oxidative stress
- Schizophrenia
- Systems-based approach
ASJC Scopus subject areas
- Molecular Biology
- Psychiatry and Mental health
- Cellular and Molecular Neuroscience
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