The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Schizophrenia shows a unique metabolomics signature in plasma
Open accessAbstract
Schizophrenia is a severe complex mental disorder affecting 0.5-1% of the world population. To date, diagnosis of the disease is mainly based on personal and thus subjective interviews. The underlying molecular mechanism of schizophrenia is poorly understood. Using targeted metabolomics we quantified and compared 103 metabolites in plasma samples from 216 healthy controls and 265 schizophrenic patients, including 52 cases that do not take antipsychotic medication. Compared with healthy controls, levels of five metabolites were found significantly altered in schizophrenic patients (P-values ranged from 2.9 × 10(-8) to 2.5 × 10(-4)) and in neuroleptics-free probands (P-values ranging between 0.006 and 0.03), respectively. These metabolites include four amino acids (arginine, glutamine, histidine and ornithine) and one lipid (PC ae C38:6) and are suggested as candidate biomarkers for schizophrenia. To explore the genetic susceptibility on the associated metabolic pathways, we constructed a molecular network connecting these five aberrant metabolites with 13 schizophrenia risk genes. Our result implicated aberrations in biosynthetic pathways linked to glutamine and arginine metabolism and associated signaling pathways as genetic risk factors, which may contribute to patho-mechanisms and memory deficits associated with schizophrenia. This study illustrated that the metabolic deviations detected in plasma may serve as potential biomarkers to aid diagnosis of schizophrenia.
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Cites
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589
Experimental Design: Procedures for the Behavioral Sciences
Kirk, R. (2013) · doi:10.4135/9781483384733 · Cited by 8,539
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
The International Schizophrenia Consortium (2009) · Nature · doi:10.1038/nature08185 · Cited by 4,821
KEGG for representation and analysis of molecular networks involving diseases and drugs
Kanehisa, M., Goto, S., Furumichi, M., Tanabe, M., & Hirakawa, M. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkp896 · Cited by 2,322
A Systematic Review of the Prevalence of Schizophrenia
Saha, S., Chant, D., Welham, J., & McGrath, J. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020141 · Cited by 2,168
Common variants conferring risk of schizophrenia
†Genetic Risk and Outcome in Psychosis (GROUP), Stefansson, H., Ophoff, R. A., Steinberg, S., Andreassen, O. A., Cichon, S., Rujescu, D., Werge, T., Pietiläinen, O. P. H., Mors, O., et al. (2009) · Nature · doi:10.1038/nature08186 · Cited by 1,677
Self-citationRare chromosomal deletions and duplications increase risk of schizophrenia
The International Schizophrenia Consortium (2008) · Nature · doi:10.1038/nature07239 · Cited by 1,475
Identification of loci associated with schizophrenia by genome-wide association and follow-up
Molecular Genetics of Schizophrenia Collaboration, O'Donovan, M. C., Craddock, N., Norton, N., Williams, H., Peirce, T., Moskvina, V., Nikolov, I., Hamshere, M., Carroll, L., et al. (2008) · Nature Genetics · doi:10.1038/ng.201 · Cited by 1,070
Self-citationMetabolomic Mapping of Atypical Antipsychotic Effects in Schizophrenia
Kaddurah-Daouk, R., McEvoy, J., Baillie, R. A., Lee, D., Yao, J. K., Doraiswamy, P. M., & Krishnan, K. R. R. (2007) · Molecular Psychiatry · doi:10.1038/sj.mp.4002000 · Cited by 262
Cited by
Kuehnbaum, N. L., & Britz-McKibbin, P. (2013) · Chemical Reviews · doi:10.1021/cr300484s · Cited by 354
Human serum metabolic profiles are age dependent
Yu, Z., Zhai, G., Singmann, P., He, Y., Xu, T., Prehn, C., Römisch‐Margl, W., Lattka, E., Gieger, C., Soranzo, N., et al. (2012) · Aging Cell · doi:10.1111/j.1474-9726.2012.00865.x · Cited by 340
Self-citationInflammation and the two-hit hypothesis of schizophrenia
Feigenson, K. A., Kusnecov, A. W., & Silverstein, S. M. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.11.006 · Cited by 282
Metabolic Profiling Identifies Phospholipids as Potential Serum Biomarkers for Schizophrenia
Wang, D., Cheng, S. L., Fei, Q., Gu, H., Raftery, D., Cao, B., Sun, X., Yan, J., Zhang, C., & Wang, J. (2019) · Psychiatry Research · doi:10.1016/j.psychres.2018.12.008 · Cited by 73
Zheng, P., Chen, J.-J., Zhou, C.-J., Zeng, L., Li, K.-W., Sun, L., Liu, M.-L., Zhu, D., Liang, Z.-H., & Xie, P. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.188 · Cited by 60
Metadata
- Authors
- He, Y., Yu, Z., Giegling, I., Xie, L., Hartmann, A. M., Prehn, C., Adamski, J., Kahn, R., Li, Y., Illig, T., Wang-Sattler, R., & Rujescu, D.
- Venue
- Translational Psychiatry
- Published
- 2012-08-14
- Volume
- 2
- Issue
- 8
- Pages
- e149-e149
- ISSN
- 2158-3188 (ISSN-L)
- OpenAlex
- W2036141281
- Cited by
- 171
- References
- 9
- FWCI
- 8.20
- Type
- journal article
- Language
- en
- Open access
- gold
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- He, Y., Yu, Z., Giegling, I., Xie, L., Hartmann, A. M., Prehn, C., Adamski, J., Kahn, R., Li, Y., Illig, T., Wang-Sattler, R., & Rujescu, D. (2012). Schizophrenia shows a unique metabolomics signature in plasma. Translational Psychiatry. https://doi.org/10.1038/tp.2012.76
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