MicroRNAs in Alzheimer’s Disease: Function and Potential Applications as Diagnostic Biomarkers
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miRNAs regulate core pathogenic pathways such as APP processing, tau phosphorylation, inflammation, synaptic plasticity, and metabolism in a cell-type-specific manner.
“They regulate core pathogenic pathways such as APP processing, tau phosphorylation, inflammation, synaptic plasticity, and metabolism in a cell-type-specific manner (Salta et al., 2016; Li et al., 2024; Wei et al., 2020).”
From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Wei et al., 2020
miR-126 promotes vascular stability and limits barrier permeability by targeting negative regulators of PI3K/AKT and VE-cadherin signaling and by restraining VCAM-1-mediated leukocyte adhesion.
“Among them, miR-126 is a well-characterized vascular miRNA that promotes vascular stability and limits barrier permeability by targeting negative regulators of PI3K/AKT and VE-cadherin signaling and by restraining VCAM-1–mediated leukocyte adhesion (Fu et al., 2019; Wang et al., 2008; Wei et al., 2020; Yu et al., 2022).”
From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Wei et al., 2020
OLs and OPCs are vulnerable to Aβ toxicity, oxidative stress, and inflammation, leading to impaired myelination and OL death.
“OLs and their precursor cells (OPCs) are vulnerable to Aβ toxicity, oxidative stress, and inflammation, leading to impaired myelination and OL death (Nasrabady et al., 2018; Wei et al., 2020; Zhou et al., 2022).”
From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Wei et al., 2020
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Cites
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microRNA-33 Regulates ApoE Lipidation and Amyloid-β Metabolism in the Brain
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Davoody, S., Asgari Taei, A., Khodabakhsh, P., & Dargahi, L. (2024) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14463 · Cited by 96 · see citing works
Garcia, G., Pinto, S., Ferreira, S., Lopes, D., Serrador, M. J., Fernandes, A., Vaz, A. R., Mendonça, A. D., Edenhofer, F., Malm, T., et al. (2022) · Cells · doi:10.3390/cells11213377 · Cited by 55 · see citing works
Gut microbiome and Alzheimer’s disease: What we know and what remains to be explored
Kapoor, B., Biswas, P., Gulati, M., Rani, P., & Gupta, R. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102570 · Cited by 46 · see citing works
Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease
Donepudi, K., Eadha, S., Rodarte, D., Sharma, B., & Kumar, S. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103211
- Authors
- Wei, W., Wang, Z.-Y., Ma, L.-N., Zhang, T.-T., Cao, Y., & Li, H.
- Venue
- Frontiers in Molecular Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2020-08-21
- Volume
- 13
- ISSN
- 1662-5099
- PMC
- PMC7471745
- Cited by
- 102
- References
- 9
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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