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Lipid Biomarkers in Alzheimer's Disease
Abstract
Background: There are now significant evidences that lipid metabolism is affected in numerous neurodegenerative diseases including Alzheimer’s disease. These dysfunctions lead to abnormal levels of certain lipids in the brain, cerebrospinal fluid and plasma. It is consequently of interest to establish lipid profiles in neurodegenerative diseases. This approach, which can contribute to identify lipid biomarkers of Alzheimers' disease, can also permit to identify new therapeutic targets. It was therefore of interest to focus on central and peripheral biomarkers in Alzheimer's disease. Methods: A review of the literature on 148 papers was conducted. Based on this literature, the involvement of lipids (cholesterol and oxysterols, fatty acids, phospholipids) in Alzheimer's disease has been proposed. Results: Of the 148 references cited for lipid biomarkers for Alzheimer's disease, 65 refer to cholesterol and oxysterols, 35 to fatty acids and 40 to phospholipids. Among these lipids, some of them such as 24S-hydroxyckolesterol, open up new therapeutic perspectives in gene therapy, in particular. The results on the very long-chain fatty acids suggest the potential of peroxisomal dysfunctions in Alzheimer's disease. As for the phospholipids, they could constitute interesting biomarkers for detecting the disease at the prodromal stage. Conclusion: There are now several lines of evidence that lipids play fundamental roles in the pathogenesis of AD and that some of them have a prognostic and diagnosis value. This may pave the way for the identification of new therapeutic targets, new effective drugs and / or new treatments.
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“The association between cholesterol homeostasis alterations and AD onset and progression has been evident for many years [11,12,13].”
From ApoE3 vs. ApoE4 Astrocytes: A Detailed Analysis Provides New Insights into Differences in Cholesterol Homeostasis (2022) · cites this paper as [13]
In the citing paper
“From now onwards, the association between the ApoE ε4 allele carriers and the occurrence of AD is well-accepted as it also lowers the overall age for onset for AD [66, 67], but does not hold any specific inference for the individual carrier.”
From Recent Advancements in Pathogenesis, Diagnostics and Treatment of Alzheimer’s Disease (2020) · cites this paper as [66]
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Chun, Y. S., & Chung, S. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21031161 · Cited by 10
Ksila, M., Ghzaiel, I., Sassi, K., Zarrouk, A., Leoni, V., Poli, G., Rezig, L., Pires, V., Meziane, S., Atanasov, A. G., et al. (2023) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-43883-7_19 · Cited by 8
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Volynsky, P. E., Urban, A. S., Pavlov, K. V., Bershatsky, Y. V., Bocharova, O. V., Kryuchkova, A. K., Zlobina, V. V., Gavrilenkova, A. A., Dolotova, S. M., Kamynina, A. V., et al. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26020553 · Cited by 7
Sun, Z., Yang, J., Zhou, J., Zhou, J., Feng, L., Feng, Y., He, Y., Liu, M., Li, Y., Wang, G., et al. (2023) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2023.01.004 · Cited by 5
Villalpando, D. M., Rojas, M. M., Garcia, H. S., & Ferrer, M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0185805 · Cited by 4
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Cebolla, V. L., Jarne, C., Membrado, L., Escuín, J. M., & Vela, J. (2022) · Journal of Planar Chromatography – Modern TLC · doi:10.1007/s00764-022-00171-7 · Cited by 4
Liu, X., Tajima, N., Taniguchi, M., & Kato, N. (2019) · Chirality · doi:10.1002/chir.23157 · Cited by 4
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Azarfar, K., Decourt, B., Camacho, B. S., Lawrence, J. J., Omondi, T. R., & Sabbagh, M. N. (2025) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2025.2483928 · Cited by 3
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Guo, Z., Yu, H., Yang, K., Feng, W., Liu, M., Wang, T., & Xiao, R. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms26010077 · Cited by 3
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Jimenez, J. P. (2005) · Digital Commons - University of South Florida (University of South Florida) · Cited by 2
Zhao, T., Li, H., Zhang, M., Xu, Y. Y., Zhang, M., & Chen, L. (2024) · eLife · doi:10.7554/elife.96224.3 · Cited by 3
Yin, W., Peng, L., Jing-hong, Z., Huang, X., & Yin, W. (2026) · Comprehensive physiology · doi:10.1002/cph4.70146 · Cited by 1
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Villamil-Ortiz, J. G. (2019) · University of Groningen research database (University of Groningen / Centre for Information Technology) · doi:10.33612/diss.99684546 · Cited by 1
Lötsch, J., Gasimli, K., Malkusch, S., Hahnefeld, L., Angioni, C., Schreiber, Y., Trautmann, S., Wedel, S., Thomas, D., Bouzas, N. F., et al. (2024) · eLife · doi:10.7554/elife.91941.1 · Cited by 1
Zhao, T., Li, H., Zhang, M., Xu, Y. Y., Zhang, M., & Chen, L. (2024) · eLife · doi:10.7554/elife.96224.2 · Cited by 1
Sghaier, R. (2019) · theses.fr (ABES) · doi:10.70675/5d9752b6zd8dcz4044z9137zad307bac6dbd · Cited by 1
Bezine, M. (2017) · theses.fr (ABES) · doi:10.70675/a634c389z7b07z4830zb56dzbf7b53a56944 · Cited by 1
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Hussain, G., Rasul, A., Anwar, H., Malik, S. A., Sun, T., Razzaq, A., Aziz, N., & Shabbir, A. (2020) · Wiley eBooks · doi:10.1002/047167849x.bio113
Wang, Q., Zang, F., He, C., Zhang, Z., & Xie, C. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3904355
Engin, A. B., & Neagu, M. T. (2021) · Current Opinion in Toxicology · doi:10.1016/j.cotox.2021.11.002
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张, 悦. (2022) · Advances in Clinical Medicine · doi:10.12677/acm.2022.1281136
Rita, L., Neumann, N. R., Laponogov, I., Gonzalez, G., Veselkov, D. A., Praticò, D., Aalizadeh, R., Τhomaidis, Ν. S., Thompson, D. C., Vasiliou, V., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23647469
Rita, L., Neumann, N. R., Laponogov, I., Gonzalez, G., Veselkov, D. A., Praticò, D., Aalizadeh, R., Τhomaidis, Ν. S., Thompson, D. C., Vasiliou, V., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23647475
Rita, L., Neumann, N. R., Laponogov, I., Gonzalez, G., Veselkov, D. A., Praticò, D., Aalizadeh, R., Τhomaidis, Ν. S., Thompson, D. C., Vasiliou, V., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23647463
Zhao, T., Li, H., Zhang, M., Xu, Y. Y., Zhang, M., & Chen, L. (2024) · eLife · doi:10.7554/elife.96224.1
Mukhina, K. A., Mitkevich, V. A., & Popova, I. Y. (2024) · Acta Naturae · doi:10.32607/actanaturae.27439
Pozdnyakov, D. I., Kharitonova, O., & Urumova, I. (2025) · Problems of Biological Medical and Pharmaceutical Chemistry · doi:10.29296/25877313-2025-10-09
Yin, C., Kindt, A. S. D., Harms, A. C., Hartman, R., Hankemeier, T., & de Lange, E. C. M. (2025) · Metabolomics · doi:10.1007/s11306-025-02350-z
Wang, Q., Zang, F., He, C., Zhang, Z., & Xie, C. (2024) · Figshare · doi:10.6084/m9.figshare.26550850
Rita, L., Neumann, N. R., Laponogov, I., Gonzalez, G., Veselkov, D. A., Praticò, D., Aalizadeh, R., Thomaidis, N. S., Thompson, D. C., Vasiliou, V., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23647478
Rita, L., Neumann, N. R., Laponogov, I., Gonzalez, G., Veselkov, D. A., Praticò, D., Aalizadeh, R., Thomaidis, N. S., Thompson, D. C., Vasiliou, V., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23647472
Ferré‐González, L., Peña‐Bautista, C., Álvarez‐Sánchez, L., Peretó, M., García, L., Raga, L., Roca, M. I., Baquero, M., & Cháfer‐Pericás, C. (2026) · Journal of clinical lipidology · doi:10.1016/j.jacl.2025.12.025
Lefèvre‐Arbogast, S. (2019) · theses.fr (ABES) · doi:10.70675/6915e632z663fz4caaz9c7az455ad25755da
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Sadleir, K. R., Gomez, K. P., Chandra, S., Ley, M. L., Khatri, A. W., Guo, J., Xue, Y., Cepko, C. L., & Vassar, R. J. (2026) · Alzheimer s Research & Therapy · doi:10.1186/s13195-026-02097-2
Nemati, S. S., Nilghaz, A., & Dehghan, G. (2026) · Results in Chemistry · doi:10.1016/j.rechem.2026.103735
Metadata
- Authors
- Zarrouk, A., Debbabi, M., Bezine, M., Karym, E. M., Badreddine, A., Rouaud, O., Moreau, T., Cherkaoui-Malki, M., El Ayeb, M., Nasser, B., Hammami, M., & Lizard, G.
- Affiliations
- Inserm (FR)
- CHU Dijon Bourgogne (FR)
- Université de Bourgogne (FR)
- Department of Biochemistry of the Peroxisome, Inflammation and Lipid Metabolism', University of Bourgogne Franche-Comte / INSERM, Dijon, France
- Laboratory ‘Venoms and Therapeutic Biomolecules', University of Tunis El Manar - Pasteur Institut, Tunis, Tunisia
- Université Hassan 1er (MA)
- University of Monastir (TN)
- Venue
- Current Alzheimer Research
- Publisher
- Bentham Science Publishers Ltd.
- Published
- 2018-02-22
- Volume
- 15
- Issue
- 4
- Pages
- 303-312
- ISSN
- 1567-2050 (ISSN-L)
- OpenAlex
- W2611926195
- Cited by
- 170
- References
- 0
- Citations by year
- 2026: 5 · 2025: 12 · 2024: 18 · 2023: 21 · 2022: 21 · 2021: 22 · 2020: 23 · 2019: 20 · 2018: 10
- FWCI
- 11.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Alzheimer Research (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Nursing › Nutrition and Dietetics › Fatty Acid Research and Health
- Keywords
- Alzheimer's disease, lipid biomarkers, lipid metabolism, cholesterol, oxysterols, 24S-hydroxycholesterol, fatty acids, very long chain fatty acids, peroxisomal dysfunction, phospholipids, cerebrospinal fluid, plasma lipids, neurodegeneration, therapeutic target, gene therapy
- MeSH terms
- Alzheimer Disease, Animals, Humans, Lipids, Biomarkers, Lipid Metabolism
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