Evidence map›Paper›PMID 38912489›Full record

ArticleHeliyon2024

In silico analysis of the use of solanine derivatives as a treatment for Alzheimer's disease.

Baydaa Hamad Obaid Saleh, Manar Dawood Salman, Ali Dawood Salman, Saja Mohsen Alardhi, Malik M Mohammed, István Gábor Gyurika, Phuoc-Cuong Le, Osamah Ihsan Ali

RetractedAbstract readRetracted Publication
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Baydaa Hamad Obaid SalehIraqi Ministry of Science and Technology/ Environment and Water Directorate, Iraq.
Manar Dawood SalmanIraqi Ministry of Science and Technology/ Environment and Water Directorate, Iraq.
Ali Dawood SalmanChemical Engineering Department, College of Engineering, University of Baghdad, Baghdad, Iraq.
Saja Mohsen AlardhiNanotechnology and Advanced Material Research Center, University of Technology, Iraq.
Malik M MohammedAl Mustaqbal University Engineering Techniques of Fuel and Energy Department, Iraq.
István Gábor GyurikaDepartment of Mechanics, Research Centre for Engineering Sciences, University of Pannonia, H-8210, Veszprém, P.O. Box 1158, Hungary.
Phuoc-Cuong LeThe University of Danang-University of Science and Technology, Danang, 550000, Viet Nam.
Osamah Ihsan AliDepartment of Materials Engineering, Research Centre for Engineering Sciences, University of Pannonia, H-8210, Veszprém, P.O. Box 1158, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a brain illness that causes cognitive impairment in the elderly, especially females, as a result of genetics, hormones, and life experiences. It becomes more severe with age and is associated with cardiovascular disease, hypertension, and diabetes. Beta-amyloid plaques and hyper phosphorylated Tau protein buildup are common clinical findings. Misfiling of amyloid precursor protein (APP) and Amyloid beta peptide (Aβ) proteins contributes to Alzheimer's disease. Enzyme Acetylcholinesterase enzyme interacts with amyloid-beta, enhancing its accumulation in insoluble plaques, leading to successful treatment for Alzheimer's disease primarily based on lowering this enzyme. Treatments include using the Rivastigmine for mild, moderate, or severe Alzheimer's disease, which inhibits acetylcholinesterase, but may cause side effects; Solanine derivatives, nightshade toxin, it is cholinesterase inhibitory, may mitigate Alzheimer's illness is progressing. In this research utilized a molecular docking program, which is a computer's computational ability to determine the optimal position for a specific compound to bind to a protein or target, forming a target-ligand complex and displaying biological activity and aiding in the development of effective anti-AD treatments and understanding AD pathological mechanisms. The study examined complexes of 3LII (Acetylcholinesterase receptor) in the A and B chain with Solanine and Rivastigmine derivatives, using an in-silico approach. PyRx default sorter was used to improve docking accuracy. Four compounds were selected based on their higher binding affinities in chain A and B. The results showed that Solanine derivatives (alpha-Solanine, Beta1-Solanine and Beta2-Solanine) have higher binding strength (-9.0,-9.3 and -8.6) than Rivastigmine (-7.2) in chain A, and also the binding strength was high for the Solanine derivatives (alpha-Solanine, Beta1-Solanine, and Beta2-Solanine) (-9.0,-8.8 and -8.9) is higher than Rivastigmine (-6.0) in the chain B. Solanine derivatives showed higher binding strength with acetylcholinesterase, potentially for to reduce the progression of the disease.

Indexed as

Alzheimer's diseaseIn silicoRivastigminesolanine derivatives

Identifiers

PMID38912489
PMCPMC11190594

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.