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Cited by 161

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Identification of a new plasma biomarker of Alzheimer's disease using metabolomics technology

Open access
Sato, Yoshiaki, Suzuki, Ikumi, Nakamura, Tatsuji, Bernier, Francois, Aoshima, Ken, Oda, Yoshiya·2012·Journal of Lipid Research

Abstract

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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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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CoChat. (2026). Citation check: Identification of a new plasma biomarker of Alzheimer's disease using metabolomics technology. https://app.cochat.ai/papers/10.1194/jlr.m022376
The paper
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.