Hair sterol signatures coupled to multivariate data analysis reveal an increased 7b-hydroxycholesterol production in cognitive impairment

Title
Hair sterol signatures coupled to multivariate data analysis reveal an increased 7b-hydroxycholesterol production in cognitive impairment
Authors
손현화이도엽서홍석정지현문주연이정은정봉철김어수최만호
Keywords
Alzheimer; cholesterol
Issue Date
2016-01
Publisher
The Journal of steroid biochemistry and molecular biology
Citation
VOL 155, 9-17
Abstract
Altered cholesterol metabolism could be associated with cognitive impairment. The quantitative profiling of 19 hair sterols was developed using gas chromatography&#8211;mass spectrometry coupled to multivariate data analysis. The limit of quantification of all sterols ranged from 5 to 20 ng/g, while the calibration linearity was higher than 0.98. The precision (% CV) and accuracy (% bias) ranged from 3.2% to 9.8% and from 83.2% to 119.4%, respectively. Among the sterols examined, 8 were quantitatively detected from two strands of 3-cm-long scalp hair samples of female participants, including mild cognitive impairment (MCI, n = 15), Alzheimer’s disease (AD, n = 31), and healthy controls (HC, n = 36). The cognitive impairment (MCI or AD) was correlated with a higher metabolic rate than that of HCs based on 7β-hydroxycholesterol (P < 0.005). Significant negative correlations (r = &#8722;0.822) were detected between Mini-Mental State Examination (MMSE) scores and hair sample metabolic ratios of 7β-hydroxycholesterol to cholesterol, which is an accepted, sensitive, and specific tool for discriminating HCs from individuals with MCI or AD. In conclusion, improved diagnostic values can be obtained using hair sterol signatures coupled with MMSE scores. This method may prove useful for predictive diagnosis in population screening of cognitive impairment.
URI
http://pubs.kist.re.kr/handle/201004/50343
ISSN
09600760
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KIST Publication > Article
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