The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Potential metabolite markers of schizophrenia
Open accessAbstract
Schizophrenia is a severe mental disorder that affects 0.5-1% of the population worldwide. Current diagnostic methods are based on psychiatric interviews, which are subjective in nature. The lack of disease biomarkers to support objective laboratory tests has been a long-standing bottleneck in the clinical diagnosis and evaluation of schizophrenia. Here we report a global metabolic profiling study involving 112 schizophrenic patients and 110 healthy subjects, who were divided into a training set and a test set, designed to identify metabolite markers. A panel of serum markers consisting of glycerate, eicosenoic acid, β-hydroxybutyrate, pyruvate and cystine was identified as an effective diagnostic tool, achieving an area under the receiver operating characteristic curve (AUC) of 0.945 in the training samples (62 patients and 62 controls) and 0.895 in the test samples (50 patients and 48 controls). Furthermore, a composite panel by the addition of urine β-hydroxybutyrate to the serum panel achieved a more satisfactory accuracy, which reached an AUC of 1 in both the training set and the test set. Multiple fatty acids and ketone bodies were found significantly (P<0.01) elevated in both the serum and urine of patients, suggesting an upregulated fatty acid catabolism, presumably resulting from an insufficiency of glucose supply in the brains of schizophrenia patients.
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Reactive oxygen species: Metabolism, oxidative stress, and signal transduction
Apel, K., & Hirt, H. (2004) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.55.031903.141701 · Cited by 11,723
The use of the area under the ROC curve in the evaluation of machine learning algorithms
Bradley, A. P. (1997) · Pattern Recognition · doi:10.1016/s0031-3203(96)00142-2 · Cited by 7,217
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
Nicholson, J. K., Lindon, J. C., & Holmes, E. (1999) · Xenobiotica · doi:10.1080/004982599238047 · Cited by 3,895
Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression
Sreekumar, A., Poisson, L. M., Rajendiran, T. M., Khan, A. P., Cao, Q., Yu, J., Laxman, B., Mehra, R., Lonigro, R. J., Li, Y., et al. (2009) · Nature · doi:10.1038/nature07762 · Cited by 2,234
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
McDonald, J. W., & Johnston, M. V. (1990) · Brain Research Reviews · doi:10.1016/0165-0173(90)90011-c · Cited by 1,416
Common variants on chromosome 6p22.1 are associated with schizophrenia
Shi, J., Levinson, D. F., Duan, J., Sanders, A. R., Zheng, Y., Pe’er, I., Dudbridge, F., Holmans, P. A., Whittemore, A. S., Mowry, B. J., et al. (2009) · Nature · doi:10.1038/nature08192 · Cited by 1,170
Cited by
Zheng, P., Zeng, B., Liu, M., Chen, J., Pan, J., Han, Y., Liu, Y., Cheng, K., Zhou, C., Wang, H., et al. (2019) · Science Advances · doi:10.1126/sciadv.aau8317 · Cited by 704
Urinary Biomarkers of Brain Diseases
An, M., & Gao, Y. (2015) · Genomics, Proteomics & Bioinformatics · doi:10.1016/j.gpb.2015.08.005 · Cited by 142
Impaired membrane lipid homeostasis in schizophrenia
Li, M., Gao, Y., Wang, D., Hu, X., Jiang, J., Qing, Y., Yang, X., Cui, G., Wang, P., Zhang, J., et al. (2022) · Schizophrenia Bulletin · doi:10.1093/schbul/sbac011 · Cited by 63
Self-citationZheng, 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
Self-citationImpaired Metabolic Reactivity to Oxidative Stress in Early Psychosis Patients
Fournier, M., Ferrari, C., Baumann, P. S., Polari, A., Monin, A., Bellier-Teichmann, T., Wulff, J., Pappan, K. L., Cuenod, M., Conus, P., et al. (2014) · Schizophrenia Bulletin · doi:10.1093/schbul/sbu053 · Cited by 48
Metadata
- Authors
- Yang, J., Chen, T., Sun, L., Zhao, Z., Qi, X., Zhou, K., Cao, Y., Wang, X., Qiu, Y., Su, M., Zhao, A., Wang, P., Yang, P., Wu, J., Feng, G., He, L., Jia, W., & Wan, C.
- Venue
- Molecular Psychiatry
- Published
- 2011-10-25
- Volume
- 18
- Issue
- 1
- Pages
- 67-78
- ISSN
- 1359-4184 (ISSN-L)
- 1476-5578
- OpenAlex
- W1978876811
- Cited by
- 253
- References
- 58
- FWCI
- 4.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Yang, J., Chen, T., Sun, L., Zhao, Z., Qi, X., Zhou, K., Cao, Y., Wang, X., Qiu, Y., Su, M., Zhao, A., Wang, P., Yang, P., Wu, J., Feng, G., He, L., Jia, W., & Wan, C. (2013). Potential metabolite markers of schizophrenia. Molecular Psychiatry. https://doi.org/10.1038/mp.2011.131
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