The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Identification of a new plasma biomarker of Alzheimer's disease using metabolomics technology
Open accessAbstract
We performed unbiased analysis of steroid-related compounds to identify novel Alzheimer's disease (AD) plasma biomarkers using liquid chromatography-atmospheric pressure chemical ionization-mass spectroscopy. The analysis revealed that desmosterol was found to be decreased in AD plasma versus controls. To precisely quantify variations in desmosterol, we established an analytical method to measure desmosterol and cholesterol. Using this LC-based method, we discovered that desmosterol and the desmosterol/cholesterol ratio are significantly decreased in AD. Finally, the validation of this assay using 109 clinical samples confirmed the decrease of desmosterol in AD as well as a change in the desmosterol/cholesterol ratio in AD. Interestingly, we could also observe a difference between mild cognitive impairment and control. In addition, the decrease of desmosterol was somewhat more significant in females. Receiver operating characteristic (ROC) analysis between controls and AD, using plasma desmosterol shows a score of 0.80, indicating a good discrimination power for this marker in the two reference populations and confirms the potential usefulness of measuring plasma desmosterol levels for diagnosing AD. Further analysis showed a significant correlation of plasma desmosterol with Mini-Mental State Examination scores. Although larger sample populations will be needed to confirm this diagnostic marker sensitivity, our studies demonstrate a sensitive and accurate method of detecting plasma desmosterol concentration and suggest that plasma desmosterol could become a powerful new specific biomarker for early and easy AD diagnosis.
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Protein aggregation and neurodegenerative disease
Ross, C. A., & Poirier, M. A. (2004) · Nature Medicine · doi:10.1038/nm1066 · Cited by 3,454
Cerebrospinal fluid and plasma biomarkers in Alzheimer disease
Blennow, K., Hampel, H., Weiner, M., & Zetterberg, H. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2010.4 · Cited by 1,863
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Cited by
Plasma phospholipids identify antecedent memory impairment in older adults
Mapstone, M., Cheema, A. K., Fiandaca, M. S., Zhong, X., Mhyre, T. R., MacArthur, L. H., Hall, W. J., Fisher, S. G., Peterson, D. R., Haley, J. M., et al. (2014) · Nature Medicine · doi:10.1038/nm.3466 · Cited by 1,043
Trushina, E., Dutta, T., Persson, X.-M. T., Mielke, M. M., & Petersen, R. C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063644 · Cited by 438
Developing novel blood‐based biomarkers for Alzheimer's disease
Snyder, H. M., Carrillo, M. C., Grodstein, F., Henriksen, K., Jeromin, A., Lovestone, S., Mielke, M. M., O'Bryant, S., Sarasa, M., Sj⊘gren, M., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.10.007 · Cited by 177
González‐Domínguez, R., García, A., García‐Barrera, T., Barbas, C., & Gómez‐Ariza, J. L. (2014) · ELECTROPHORESIS · doi:10.1002/elps.201400196 · Cited by 119
Biomarkers in Sporadic and Familial Alzheimer’s Disease
Lista, S., O’Bryant, S. E., Blennow, K., Dubois, B., Hugon, J., Zetterberg, H., & Hampel, H. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-143006 · Cited by 106
Metadata
- Authors
- Sato, Y., Suzuki, I., Nakamura, T., Bernier, F., Aoshima, K., & Oda, Y.
- Venue
- Journal of Lipid Research
- Publisher
- Elsevier BV
- Published
- 2012-03
- Volume
- 53
- Issue
- 3
- Pages
- 567-576
- ISSN
- 0022-2275 (ISSN-L)
- OpenAlex
- W2159124202
- Cited by
- 161
- References
- 4
- FWCI
- 10.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Sato, Y., Suzuki, I., Nakamura, T., Bernier, F., Aoshima, K., & Oda, Y. (2012). Identification of a new plasma biomarker of Alzheimer's disease using metabolomics technology. Journal of Lipid Research. https://doi.org/10.1194/jlr.m022376
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.