Evidence map›Paper›PMID 29966196›Full record

ArticleJournal of Alzheimer's disease : JAD2018

In Vitro Potency and Preclinical Pharmacokinetic Comparison of All-D-Enantiomeric Peptides Developed for the Treatment of Alzheimer's Disease.

Elena Schartmann, Sarah Schemmert, Nicole Niemietz, Dominik Honold, Tamar Ziehm, Markus Tusche, Anne Elfgen, Ian Gering, Oleksandr Brener, Nadim Joni Shah and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

14 authors at 1 institution in 1 country.

Elena Schartmann
Sarah Schemmert
Nicole Niemietz
Dominik Honold
Tamar Ziehm
Markus Tusche
Anne Elfgen
Ian Gering
Oleksandr Brener
Nadim Joni Shah
Karl-Josef Langen
Janine Kutzsche
Dieter Willbold
Antje Willuweit
Forschungszentrum Jülich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusible amyloid-β (Aβ) oligomers are currently presumed to be the most cytotoxic Aβ assembly and held responsible to trigger the pathogenesis of Alzheimer's disease (AD). Thus, Aβ oligomers are a prominent target in AD drug development. Previously, we reported on our solely D-enantiomeric peptide D3 and its derivatives as AD drug candidates. Here, we compare one of the most promising D3 derivatives, ANK6, with its tandem version (tANK6), and its head-to-tail cyclized isoform (cANK6r). In vitro tests investigating the D-peptides' potencies to inhibit Aβ aggregation, eliminate Aβ oligomers, and reduce Aβ-induced cytotoxicity revealed that all three D-peptides efficiently target Aβ. Subsequent preclinical pharmacokinetic studies of the three all-D-peptides in wildtype mice showed promising blood-brain barrier permeability with cANK6r yielding the highest levels in brain. The peptides' potencies to lower Aβ toxicity and their remarkable brain/plasma ratios make them promising AD drug candidates.

Indexed as

Amyloid beta-PeptidesAnimalsDose-Response Relationship, DrugHumansIn Vitro TechniquesMaleMiceMice, Inbred C57BLOligopeptidesPC12 CellsPeptide FragmentsProtein AggregatesProtein BindingProtein IsoformsRatsStereoisomerismAmyloid beta-Peptidesamyloid beta-protein (1-42)D3 peptideOligopeptidesPeptide FragmentsProtein AggregatesProtein IsoformsTritiumAlzheimer’s diseaseamyloid-βD-enantiomeric peptidespharmacokinetic profile

Identifiers

PMID29966196
PMCPMC6218115
OpenAlexW2811350158

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.