Medicinal plants and biogenic metal oxide nanoparticles: a paradigm shift to treat Alzheimer's disease
Open accessAbstract
Alzheimer’s disease (AD) is the most prevalent form of dementia. Improving the amount of acetylcholine in the brain is an efficient way to treat the illness. The global incidence of dementia is estimated to be as high as 50 million, and it is expected to increase every 20 years until 2040, resulting in a costly burden of disease. Early-life risk factors for pathology include genes, chromosomal abnormalities, head injury, insulin resistance, and inflammation. Potentially modifiable risk factors including obesity, diabetes, hypertension, and smoking are associated with Alzheimer’s disease (AD) and represent promising targets for intervention. The drugs currently being used to manage AD have various drawbacks. The chemical inhibition of cholinesterase enzymes is an effective technique for treating signal related neuropathology, and possible sources of compounds with these properties are natural products and biogenic metal oxide nanoparticles. There is a potential source of AChE and BChE inhibitors in the abundance of plants in nature, and natural goods appear to offer useful medications and templates for the development of other compounds. This dissertation represents a review of the literature on species of medicinal plants and nanomaterial related plants tested for their inhibitory action of AChE and BChE. Plant species and the plant-mediated metal oxide nanoparticles referred to are possible cholinesterase inhibitors and can assist researchers in their study of natural products that may be beneficial in the treatment of AD.
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There are five drugs in clinic for Alzheimer's disease, including three cholinesterase inhibitors, that only provide palliative and supporting treatment.
“There are five drugs in clinic, including three cholinesterase inhibitors, that only provide palliative and supporting treatment (Butterfield and Boyd-Kimball, 2020;Zagórska and Jaromin, 2020;Gul et al., 2021).”
From Multi-target neuroprotective effects of herbal medicines for Alzheimer's disease (2022) · cites this paper as Gul et al., 2021
There is still a lack of effective drugs for the treatment of Alzheimer's disease.
“Despite incredible efforts, there is still a lack of effective drugs for the treatment of AD.”
From Multi-target neuroprotective effects of herbal medicines for Alzheimer's disease (2022) · cites this paper as Gul et al., 2021
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- Authors
- Gul, R., Jan, H., Lalay, G., Andleeb, A., Usman, H., Zainab, R., Qamar, Z., Hano, C., & Abbasi, B. H.
- Affiliations
- The University of Agriculture, Peshawar (PK)
- Quaid-i-Azam University (PK)
- University of Peshawar (PK)
- University of Swabi (PK)
- Hazara University (PK)
- Université d'Orléans (FR)
- Corresponding author
- Jan, Hasnain
- Abbasi, Bilal Haider
- Venue
- Coatings
- Publisher
- MDPI AG
- Published
- 2021-06-15
- Volume
- 11
- Issue
- 6
- Pages
- 717
- ISSN
- 2079-6412 (ISSN-L)
- OpenAlex
- W3169123974
- Cited by
- 33
- References
- 89
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 5 · 2023: 10 · 2022: 2 · 2021: 2
- FWCI
- 2.77
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Coatings (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Health Sciences › Medicine › Pharmacology › Cholinesterase and Neurodegenerative Diseases
- Health Sciences › Medicine › Complementary and alternative medicine › Medicinal Plants and Neuroprotection
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease, medicinal plants, acetylcholinesterase inhibitors, butyrylcholinesterase inhibitors, cholinesterase inhibition, acetylcholine, natural products, plant-mediated nanoparticle synthesis, dementia risk factors
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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