Secondary Metabolites from Plants Possessing Inhibitory Properties against Beta-Amyloid Aggregation as Revealed by Thioflavin-T Assay and Correlations with Investigations on Transgenic Mouse Models of Alzheimer's Disease
Open accessAbstract
Alzheimer's disease is a neurodegenerative disorder for which there is a continuous search of drugs able to reduce or stop the cognitive decline. Beta-amyloid peptides are composed of 40 and 42 amino acids and are considered a major cause of neuronal toxicity. They are prone to aggregation, yielding oligomers and fibrils through the inter-molecular binding between the amino acid sequences (17-42) of multiple amyloid-beta molecules. Additionally, amyloid deposition causes cerebral amyloid angiopathy. The present study aims to identify, in the existing literature, natural plant derived products possessing inhibitory properties against aggregation. The studies searched proved the anti-aggregating effects by the thioflavin T assay and through behavioral, biochemical, and histological analysis carried out upon administration of natural chemical compounds to transgenic mouse models of Alzheimer's disease. According to our present study results, fifteen secondary metabolites from plants were identified which presented both evidence coming from the thioflavin T assay and transgenic mouse models developing Alzheimer's disease and six additional metabolites were mentioned due to their inhibitory effects against fibrillogenesis. Among them, epigallocatechin-3-gallate, luteolin, myricetin, and silibinin were proven to lower the aggregation to less than 40%.
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Phenolic compounds interfere with Aβ peptide aggregation by targeting one or multiple steps.
“A huge number of phenolic compounds have displayed the capability to interfere with the aggregation of the Aβ peptide by targeting one or multiple steps (Ma et al., 2020; Stefanescu et al., 2020)”
From Exploring the Therapeutic Potential of Phytochemicals in Alzheimer’s Disease: Focus on Polyphenols and Monoterpenes (2022) · cites this paper as Stefanescu et al., 2020
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RetractedCorrelative Memory Deficits, Aβ Elevation, and Amyloid Plaques in Transgenic Mice
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Flagged first, then by citations
Cited by
Sorted by citations
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- Authors
- Stefanescu, R., Stanciu, G. D., Luca, A., Paduraru, L., & Tamba, B.-I.
- Affiliations
- Center for Advanced Research and Development in Experimental Medicine (CEMEX), “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
- Grigore T. Popa University of Medicine and Pharmacy (RO)
- Division Neonatology, Department Mother & Child Care, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
- Venue
- Biomolecules
- Publisher
- MDPI AG
- Published
- 2020-06-06
- Volume
- 10
- Issue
- 6
- Pages
- 870
- ISSN
- 2218-273X (ISSN-L)
- PMC
- PMC7355648
- OpenAlex
- W3033682886
- Cited by
- 35
- References
- 105
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 4 · 2023: 5 · 2022: 7 · 2021: 6 · 2020: 4
- FWCI
- 0.70
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Biomolecules (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Universitatea de Medicina și Farmacie Grigore T. Popa - Iasi (27498/20.12.2018)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Complementary and alternative medicine › Medicinal Plants and Neuroprotection
- Health Sciences › Medicine › Pharmacology › Cholinesterase and Neurodegenerative Diseases
- Keywords
- Alzheimer's disease, amyloid-beta aggregation, plant secondary metabolites, Thioflavin T assay, transgenic mouse model, fibrillogenesis inhibition, epigallocatechin gallate, luteolin, myricetin, silibinin, natural products
- MeSH terms
- Silybin, Alzheimer Disease, Animals, Biological Products, Catechin, Flavonoids, Fluorescent Dyes, Mice, Transgenic, Amyloid beta-Peptides, Luteolin, Mice, Benzothiazoles, Protein Aggregates
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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