Chen, T.* ; Wang, L.* ; Xie, G.* ; Kristal, B.S.* ; Zheng, X.* ; Sun, T.* ; Arnold, M. ; Louie, G.* ; Li, M.* ; Wu, L.* ; MahmoudianDehkordi, S.* ; Sniatynski, M.J.* ; Borkowski, K.* ; Guo, Q.* ; Kuang, J.* ; Wang, J.* ; Nho, K.* ; Ren, Z.* ; Kueider-Paisley, A.* ; Blach, C.* ; Kaddurah-Daouk, R.* ; Jia, W.*
Serum bile acids improve prediction of Alzheimer's progression in a sex-dependent manner.
Adv. Sci.:e2306576 (2023)
Sex disparities in serum bile acid (BA) levels and Alzheimer's disease (AD) prevalence have been established. However, the precise link between changes in serum BAs and AD development remains elusive. Here, authors quantitatively determined 33 serum BAs and 58 BA features in 4 219 samples collected from 1 180 participants from the Alzheimer's Disease Neuroimaging Initiative. The findings revealed that these BA features exhibited significant correlations with clinical stages, encompassing cognitively normal (CN), early and late mild cognitive impairment, and AD, as well as cognitive performance. Importantly, these associations are more pronounced in men than women. Among participants with progressive disease stages (n = 660), BAs underwent early changes in men, occurring before AD. By incorporating BA features into diagnostic and predictive models, positive enhancements are achieved for all models. The area under the receiver operating characteristic curve improved from 0.78 to 0.91 for men and from 0.76 to 0.83 for women for the differentiation of CN and AD. Additionally, the key findings are validated in a subset of participants (n = 578) with cerebrospinal fluid amyloid-beta and tau levels. These findings underscore the role of BAs in AD progression, offering potential improvements in the accuracy of AD prediction.
Impact Factor
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Times Cited
Scopus
Cited By
Altmetric
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Alzheimer's Disease ; Bile Acid ; Cholesterol ; Mild Cognitive Impairment ; Sex Difference; Alzheimers-disease; Metabolomics; Biomarkers
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2023
Prepublished im Jahr
0
HGF-Berichtsjahr
2023
ISSN (print) / ISBN
2198-3844
e-ISSN
2198-3844
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: ,
Heft: ,
Seiten: ,
Artikelnummer: e2306576
Supplement: ,
Reihe
Verlag
Wiley
Verlagsort
Weinheim
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30205 - Bioengineering and Digital Health
Forschungsfeld(er)
Enabling and Novel Technologies
PSP-Element(e)
G-503891-001
Förderungen
Alzheimer's Disease Metabolomics Consortium (ADMC)
National Institute of Biomedical Imaging and Bioengineering
National Institute on Aging
DOD ADNI (Department of Defense)
Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health)
FNIH
NIA
National Institutes of Health (NIH)
National Science Foundation
Copyright
Erfassungsdatum
2023-12-20