4.4 Article

Bile acid quantification of 20 plasma metabolites identifies lithocholic acid as a putative biomarker in Alzheimer's disease

Journal

METABOLOMICS
Volume 14, Issue 1, Pages -

Publisher

SPRINGER
DOI: 10.1007/s11306-017-1297-5

Keywords

Alzheimer; Diagnosis; Plasma; Bile acid; Lithocholic acid; Biomarkers

Funding

  1. Osterreichische Nationalbank Jubilaumsfonds [15887]

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Introduction There is still a clear need for a widely available, inexpensive and reliable method to diagnose Alzheimer's disease (AD) and monitor disease progression. Liquid chromatography-mass spectrometry (LC-MS) is a powerful analytic technique with a very high sensitivity and specificity. Objectives The aim of the present study is to measure concentrations of 20 bile acids using the novel Kit from Biocrates Life Sciences based on LC-MS technique. Methods Twenty bile acid metabolites were quantitatively measured in plasma of 30 cognitively healthy subjects, 20 patients with mild cognitive impairment (MCI) and 30 patients suffering from AD. Results Levels of lithocholic acid were significantly enhanced in plasma of AD patients (50 +/- 6 nM, p = 0.004) compared to healthy controls (32 +/- 3 nM). Lithocholic acid plasma levels of MCI patients (41 +/- 4 nM) were not significantly different from healthy subjects or AD patients. Levels of glycochenodeoxycholic acid, glycodeoxycholic acid and glycolithocholic acid were significantly higher in AD patients compared to MCI patients (p < 0.05). All other cholic acid metabolites were not significantly different between healthy subjects, MCI patients and AD patients. ROC analysis shows an overall accuracy of about 66%. Discriminant analysis was used to classify patients and we found that 15/23 were correctly diagnosed. We further showed that LCA levels increased by about 3.2 fold when healthy subjects converted to AD patients within a 8-9 year follow up period. Pathway analysis linked these changes to a putative toxic cholesterol pathway. Conclusion In conclusion, 4 bile acids may be useful to diagnose AD in plasma samples despite limitations in diagnostic accuracy.

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