One step closer to a diagnostic test for schizophrenia
A new study performed by Matej Orešič and colleagues from VTT Technical Research Centre of Finland in collaboration with Jaana Suvisaari from the Finnish National Institute for Health and Welfare reveals metabolic abnormalities that are associated specifically with schizophrenia, as opposed to other psychotic disorders. These findings, which were published in Genome Medicine, might be an important step towards the development of a clinical diagnostic test for schizophrenia.
The team used metabolomics, a high-throughput method for detecting small metabolites, to produce profiles of the serum metabolites associated with schizophrenia, other nonaffective psychosis (ONAP) or affective psychosis. Their analysis indicates that schizophrenia is associated with elevated serum levels of specific triglycerides, indicative of hyperinsulinemia, and also upregulation of the serum amino acid proline. Orešič et al. then combined these metabolic profiles to create a diagnostic model with the potential to discriminate schizophrenia from other psychoses.
This exciting study demonstrates how metabolomics can be a powerful tool for dissecting disease-related metabolic pathways and for identifying candidate diagnostic and prognostic markers in psychiatric research.
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M. Orešič, J. Tang, T. Seppänen-Laakso, I. Mattila, S. E. Saarni, S. I. Saarni, J. Lönnqvist, M. Sysi-Aho, T. Hyötyläinen, J. Perälä, J. Suvisaari, "Metabolome in schizophrenia and other psychotic disorders: a general population-based study";, Genome Medicine (2011)
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Topic world Diagnostics
Diagnostics is at the heart of modern medicine and forms a crucial interface between research and patient care in the biotech and pharmaceutical industries. It not only enables early detection and monitoring of disease, but also plays a central role in individualized medicine by enabling targeted therapies based on an individual's genetic and molecular signature.
Topic world Diagnostics
Diagnostics is at the heart of modern medicine and forms a crucial interface between research and patient care in the biotech and pharmaceutical industries. It not only enables early detection and monitoring of disease, but also plays a central role in individualized medicine by enabling targeted therapies based on an individual's genetic and molecular signature.