Advanced Science (Mar 2024)

Serum Bile Acids Improve Prediction of Alzheimer's Progression in a Sex‐Dependent Manner

  • Tianlu Chen,
  • Lu Wang,
  • Guoxiang Xie,
  • Bruce S. Kristal,
  • Xiaojiao Zheng,
  • Tao Sun,
  • Matthias Arnold,
  • Gregory Louie,
  • Mengci Li,
  • Lirong Wu,
  • Siamak Mahmoudiandehkordi,
  • Matthew J. Sniatynski,
  • Kamil Borkowski,
  • Qihao Guo,
  • Junliang Kuang,
  • Jieyi Wang,
  • Kwangsik Nho,
  • Zhenxing Ren,
  • Alexandra Kueider‐Paisley,
  • Colette Blach,
  • Rima Kaddurah‐Daouk,
  • Wei Jia,
  • Alzheimer's Disease Neuroimaging Initiative (ADNI) and the Alzheimer Disease Metabolomics Consortium (ADMC)

DOI
https://doi.org/10.1002/advs.202306576
Journal volume & issue
Vol. 11, no. 9
pp. n/a – n/a

Abstract

Read online

Abstract 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.

Keywords