Evidence map›Paper›PMID 35562605›Full record

ArticleAmino acids2022

Synthesis and biological study of new galanthamine-peptide derivatives designed for prevention and treatment of Alzheimer

Lyubomir T Vezenkov, Dancho L Danalev, Iwan Iwanov, Valentin Lozanov, Atanas Atanasov, Rumyana Todorova, Nikolay Vassilev, Veronika Karadjova

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Article in Amino acids, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Lyubomir T VezenkovUniversity of Chemical Technology and Metallurgy, Sofia, 1756, Bulgaria.
Dancho L DanalevUniversity of Chemical Technology and Metallurgy, Sofia, 1756, Bulgaria. ddanalev@uctm.edu.ORCID http://orcid.org/0000-0003-1193-7379
Iwan IwanovUniversity of Chemical Technology and Metallurgy, Sofia, 1756, Bulgaria.
Valentin LozanovDepartment of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, 1000, Bulgaria.
Atanas AtanasovMedical Faculty, Trakia University, Stara Zagora, 6000, Bulgaria.
Rumyana TodorovaMedical Faculty, Trakia University, Stara Zagora, 6000, Bulgaria.
Nikolay VassilevInstitute of Organic Chemistry with Centre of Phytochemistry, Bulgarian Academy of Sciences, Sofia, 1113, Bulgaria.
Veronika KaradjovaUniversity of Chemical Technology and Metallurgy, Sofia, 1756, Bulgaria.

Funding

Fund for Scientific Investigation of Bulgaria DH 03/8
6 · The paper itself

Abstract

The Alzheimer's disease leads to neurodegenerative processes and affecting negatively million people worldwide. The treatment of the disease is still difficult and incomplete in practice. Galanthamine is one of the most commonly used drugs against the illness. The main aim of this work is design and synthesis of new derivatives of galanthamine comprising peptide moiety as well as study of their β-secretase inhibitory activity and the anti-aggregating effect. All new derivatives of galanthamine containing analogues of Leu-Val-Phe-Phe (Aβ17-Aβ20) were synthesized in solution using fragment and consecutive condensation approaches. The new derivatives were characterized by melting points, NMR, and HPLC/MS. They were tested in vitro for β-secretase inhibition activity by means of fluorescent method and were investigated in vitro for anti-aggregation activity on sheep platelet-rich plasma. Although the new compounds do not contain a structural element responsible for the β-secretase inhibition, five of them show high or good β-secretase inhibitory activity between 19.98 and 51.19% with IC

Indexed as

Alzheimer DiseaseGalantamineAmyloid beta-PeptidesAmyloid Precursor Protein SecretasesAnimalsHumansPeptidesSheepAmyloid beta-PeptidesAmyloid Precursor Protein SecretasesGalantaminePeptidesAlzheimer’s diseaseAmyloid peptideAnti-aggregating peptideGalanthamineβ-Secretase inhibitors

Identifiers

PMID35562605

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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.