Back

Identifying differences in bile acid pathways for cholesterol clearance in Alzheimer’s disease using metabolic networks of human brain regions

Baloni, P.; Funk, C. C.; Yan, J.; Yurkovich, J. T.; Kueider-Paisley, A.; Nho, K.; Heinken, A.; Jia, W.; Mahmoudiandehkordi, S.; Louie, G.; Saykin, A. J.; Arnold, M.; Kastenmueller, G.; Griffiths, W.; Thiele, I.; AMP-AD consortium, ; The Alzheimer's Disease Metabolomics Consortium, ; Kaddurah-Daouk, R.; Price, N. D.

2019-09-26 systems biology
10.1101/782987 bioRxiv
Show abstract

Alzheimers disease (AD) is the leading cause of dementia, with metabolic dysfunction seen years before the emergence of clinical symptoms. Increasing evidence suggests a role for primary and secondary bile acids, the end-product of cholesterol metabolism, influencing pathophysiology in AD. In this study, we analyzed transcriptomes from 2114 post-mortem brain samples from three independent cohorts and identified that the genes involved in alternative bile acid synthesis pathway was expressed in brain compared to the classical pathway. These results were supported by targeted metabolomic analysis of primary and secondary bile acids measured from post-mortem brain samples of 111 individuals. We reconstructed brain region-specific metabolic networks using data from three independent cohorts to assess the role of bile acid metabolism in AD pathophysiology. Our metabolic network analysis suggested that taurine transport, bile acid synthesis and cholesterol metabolism differed in AD and cognitively normal individuals. Using the brain transcriptional regulatory network, we identified putative transcription factors regulating these metabolic genes and influencing altered metabolism in AD. Intriguingly, we find bile acids from the brain metabolomics whose synthesis cannot be explained by enzymes we find in the brain, suggesting they may originate from an external source such as the gut microbiome. These findings motivate further research into bile acid metabolism and transport in AD to elucidate their possible connection to cognitive decline.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Alzheimer's Research & Therapy
52 papers in training set
Top 0.1%
19.3%
2
Cell Reports
1338 papers in training set
Top 6%
6.6%
3
npj Systems Biology and Applications
99 papers in training set
Top 0.2%
6.6%
4
eLife
5422 papers in training set
Top 16%
5.0%
5
Neurobiology of Aging
95 papers in training set
Top 0.5%
5.0%
6
Frontiers in Aging Neuroscience
67 papers in training set
Top 0.7%
4.5%
7
Scientific Reports
3102 papers in training set
Top 27%
4.3%
50% of probability mass above
8
Nature Communications
4913 papers in training set
Top 43%
3.0%
9
Communications Biology
886 papers in training set
Top 6%
2.0%
10
Alzheimer's & Dementia
143 papers in training set
Top 2%
2.0%
11
iScience
1063 papers in training set
Top 12%
1.8%
12
PLOS Computational Biology
1633 papers in training set
Top 15%
1.8%
13
Frontiers in Molecular Biosciences
100 papers in training set
Top 2%
1.5%
14
International Journal of Molecular Sciences
453 papers in training set
Top 9%
1.4%
15
Metabolomics
11 papers in training set
Top 0.2%
1.4%
16
Frontiers in Neuroscience
223 papers in training set
Top 5%
1.4%
17
Journal of Alzheimer’s Disease
39 papers in training set
Top 0.8%
1.3%
18
Frontiers in Genetics
197 papers in training set
Top 6%
1.3%
19
Computational and Structural Biotechnology Journal
216 papers in training set
Top 7%
1.0%
20
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 39%
1.0%
21
Molecular Omics
21 papers in training set
Top 0.2%
0.9%
22
Brain Research
35 papers in training set
Top 1%
0.9%
23
Genome Medicine
154 papers in training set
Top 7%
0.9%
24
PLOS ONE
4510 papers in training set
Top 65%
0.8%
25
Cell Metabolism
49 papers in training set
Top 2%
0.8%
26
Metabolites
50 papers in training set
Top 1%
0.8%
27
mSystems
361 papers in training set
Top 7%
0.8%
28
Journal of Proteome Research
215 papers in training set
Top 2%
0.7%
29
Neurobiology of Disease
134 papers in training set
Top 4%
0.7%
30
The Journal of Neuroscience
928 papers in training set
Top 9%
0.7%