Evidence map›Paper›PMID 39444645›Full record

ArticleF1000Research2023

Validation and

Suzanne Doolen, Riham Ayoubi, Carl Laflamme, Ranjita Betarbet, Elizabeth Zoeller, Sean-Paul G Williams, Haian Fu, Allan I Levey, S J Sukoff Rizzo

Abstract readValidation Study
In one paragraph

Article in F1000Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Validation andF1000Research · 2023
    Article
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

9 authors.

Suzanne DoolenAging Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, 15219, USA.ORCID 0000-0003-1843-7510
Riham AyoubiNeurology and Neurosurgery, McGill University, Montreal, Québec, H3A 2B4, Canada.
Carl LaflammeNeurology and Neurosurgery, McGill University, Montreal, Québec, H3A 2B4, Canada.ORCID 0000-0001-5906-025X
Ranjita BetarbetCenter for Neurodegenerative Disease, Emory University, Atlanta, Georgia, 30322, USA.ORCID 0000-0002-4792-8952
Elizabeth ZoellerDepartment of Pharmacology, Emory University, Atlanta, Georgia, 30322, USA.ORCID 0000-0001-9588-3114
Sean-Paul G WilliamsAging Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, 15219, USA.
Haian FuDepartment of Pharmacology, Emory University, Atlanta, Georgia, 30322, USA.
Allan I LeveyNeurology, Emory University, Atlanta, Georgia, 30322, USA.
S J Sukoff RizzoAging Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, 15219, USA.ORCID 0000-0002-1460-8127

Funding

TREAT AD Structural Biology CoreU54AG065187 · NIA · EMORY UNIVERSITY · PI ALLAN I LEVEY · 2019 to 2026
$69.7M
Validation of Antibody Reagents for 15 High Priority AMP-AD TargetsRF1AG057443 · NIA · SAGE BIONETWORKS · PI BRENNAN , PAUL, MANGRAVITE, LARA M · 2017 to 2019
$6.0M
NIA NIH HHS RF1 AG057443NIA NIH HHS U54 AG065187
6 · The paper itself

Abstract

Background: A major goal of the Target Enablement to Accelerate Therapy Development for Alzheimer's disease (TREAT-AD) program is to develop and identify high-quality tools to test target or mechanistic hypotheses. As part of this initiative, it is important that commercial reagents including research antibodies being used to interrogate drug targets have confirmed validation data in knock-out cell lines. Ideally, these antibodies should also have utility for both Methods: We evaluated commercial antibodies against TREAT-AD protein targets Moesin (Uniprot ID: P26038), CD44 (Uniprot ID: P16070), Midkine (Uniprot ID: P21741) and Secreted frizzled-related protein 1, referred to as "sFRP-1" (sFRP-1; Uniprot ID: Q8N474). Moesin, Midkine and sFRP-1, that were confirmed as selective based on data in knock-out cell lines. Western blot analysis was used to compare protein levels in brain homogenates from a mouse model with AD-relevant pathology (5XFAD) versus age-matched C57BL/6J control mice. Results: Anti-Moesin ab52490 reacted in mouse brain homogenate with a predicted molecular weight of 68 kDa. Moesin protein expression was 2.8 times higher in 5xFAD compared to WT. Anti-CD44 ab189524 reacted with a band at the predicted size of 82 kDa. CD44 protein expression was 1.9 times higher in 5xFAD compared to WT. Anti-Midkine AF7769 reacted with a band ~16 kDa and a 17.8 times greater expression in 5xFAD compared to WT. Anti-sFRP-1 ab267466 reacted with a band at 35 kDa as predicted. sFRP-1 protein expression was 11.9 times greater in 5xFAD compared to WT. Conclusions: These data confirm the utility of these selective commercially available antibodies against Moesin, CD44, Midkine, and sFRP-1 for

Indexed as

Hyaluronan ReceptorsMicrofilament ProteinsMidkineAlzheimer DiseaseAnimalsAntibodiesCytokinesHumansMembrane ProteinsMiceAntibodiesCytokinesHyaluronan ReceptorsMembrane ProteinsMicrofilament ProteinsMidkinemoesin5xFADAlzheimer’s diseaseantibody characterizationmiceMidkineMoesinsFRP-1Western blot

Identifiers

PMID39444645
PMCPMC11497330

What OpenQuestion holds

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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.