Role for the liver X receptor agonist 22-ketositosterol in preventing disease progression in an Alzheimer's disease mouse model
- PMID: 40233928
- DOI: 10.1111/bph.70031
Role for the liver X receptor agonist 22-ketositosterol in preventing disease progression in an Alzheimer's disease mouse model
Abstract
Background and purpose: Liver X receptors (LXRs) are promising therapeutic targets for alleviating Alzheimer's disease (AD) symptoms. We assessed the impact of the semi-synthetic LXR agonist 22-ketositosterol on disease progression in an AD mouse model.
Experimental approach: From 5.5 months of age, APPswePS1ΔE9 (AD) mice and wild-type (WT) littermates received a regular or 22-ketositosterol-supplemented diet (0.017% w/w). Cognition was assessed with object location and recognition tasks and a spontaneous alternation Y-maze test. Amyloid β was quantified using immunohistochemistry (IHC) and enzyme-linked immunosorbent assay (ELISA), microglia (Iba1, CD68) and astrocyte (GFAP) markers using IHC. Sterols were determined in food, serum, liver and cerebellum.
Key results: 22-Ketositosterol activated both liver X receptors-α and -β and promoted cholesterol efflux in cell cultures. Diet supplementation with 22-ketositosterol prevented a decline in the performance of APPswePS1ΔE9 mice in the object location task but not in the other two tasks. Without affecting amyloid β deposition, 22-ketositosterol decreased microglia (Iba1, CD68) and astrocyte (GFAP) markers in the cortex and hippocampus of APPswePS1ΔE9, suggesting potential anti-inflammatory effects. No lipid accumulation was detected in the liver or serum upon 22-ketositosterol supplementation.
Conclusions and implications: Diet supplementation with 22-ketositosterol prevented the decline in spatial memory of APPswePS1ΔE9 mice. Our data suggest therapeutic benefits of 22-ketositosterol possibly by enhancing cholesterol efflux and mitigating inflammatory responses, without inducing hepatosteatosis or hypertriglyceridemia.
Keywords: Alzheimer's disease; cholesterol metabolism; liver X receptors; oxysterols.
© 2025 The Author(s). British Journal of Pharmacology published by John Wiley & Sons Ltd on behalf of British Pharmacological Society.
References
REFERENCES
-
- Adorni, M. P., Papotti, B., Borghi, M. O., Raschi, E., Zimetti, F., Bernini, F., Meroni, P. L., & Ronda, N. (2023). Effect of the JAK/STAT inhibitor tofacitinib on macrophage cholesterol metabolism. International Journal of Molecular Sciences, 24(16), 12571. https://doi.org/10.3390/ijms241612571
-
- Alexander, S. P. H., Cidlowski, J. A., Kelly, E., Mathie, A. A., Peters, J. A., Veale, E. L., Armstrong, J. F., Faccenda, E., Harding, S. D., Davies, J. A., Coons, L., Fuller, P. J., Korach, K. S., & Young, M. J. (2023). The concise guide to PHARMACOLOGY 2023/24: Nuclear hormone receptors. British Journal of Pharmacology, 180(Suppl 2), S223–S240. https://doi.org/10.1111/bph.16179
-
- Alexander, S. P. H., Roberts, R. E., Broughton, B. R. S., Sobey, C. G., George, C. H., Stanford, S. C., Cirino, G., Docherty, J. R., Giembycz, M. A., Hoyer, D., Insel, P. A., Izzo, A. A., Ji, Y., MacEwan, D. J., Mangum, J., Wonnacott, S., & Ahluwalia, A. (2018). Goals and practicalities of immunoblotting and immunohistochemistry: A guide for submission to the British Journal of Pharmacology. British Journal of Pharmacology, 175(3), 407–411. https://doi.org/10.1111/bph.14112
-
- Arganda‐Carreras, I., Kaynig, V., Rueden, C., Eliceiri, K. W., Schindelin, J., Cardona, A., & Sebastian Seung, H. (2017). Trainable Weka segmentation: A machine learning tool for microscopy pixel classification. Bioinformatics, 33(15), 2424–2426. https://doi.org/10.1093/bioinformatics/btx180
-
- Bai, W., Liu, T., Yi, H., Li, S., & Tian, X. (2012). Anticipatory activity in rat medial prefrontal cortex during a working memory task. Neuroscience Bulletin, 28(6), 693–703. https://doi.org/10.1007/s12264-012-1291-x
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous
