Evidence map›Paper›PMID 30135932›Full record

ArticleIBRO reports2017

CuATSM efficacy is independently replicated in a SOD1 mouse model of ALS while unmetallated ATSM therapy fails to reveal benefits.

Fernando G Vieira, Theo Hatzipetros, Kenneth Thompson, Andy J Moreno, Joshua D Kidd, Valerie R Tassinari, Beth Levine, Steven Perrin, Alan Gill

Open access · goldAbstract read
In one paragraph

Article in IBRO reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Integrated elemental analysis supports targeting copper perturbations as a therapeutic strategy in multiple sclerosis.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024
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  16. CuBritish journal of pharmacology · 2020
    Article
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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

9 authors at 1 institution in 1 country.

Fernando G VieiraALS Therapy Development Institute, USA.
Theo HatzipetrosALS Therapy Development Institute, USA.
Kenneth ThompsonALS Therapy Development Institute, USA.
Andy J MorenoALS Therapy Development Institute, USA.
Joshua D KiddALS Therapy Development Institute, USA.
Valerie R TassinariALS Therapy Development Institute, USA.
Beth LevineALS Therapy Development Institute, USA.
Steven PerrinALS Therapy Development Institute, USA.
Alan GillALS Therapy Development Institute, USA.
Amyotrophic Lateral Sclerosis Therapy Development Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A copper chelator known as diacetylbis(N(4)-methylthiosemicarbazonato) copper II (CuATSM), has been reported to be efficacious in multiple transgenic SOD1 models of amyotrophic lateral sclerosis (ALS), a fatal neurodegenerative disorder affecting motor neurons. Here we report that we also observed CuATSM efficacy on disease onset and progression in a standardized litter-matched and gender-balanced efficacy study using B6SJL-SOD1G93A/1Gur mice. We also report improved survival trends with CuATSM treatment. In addition, we report a lack of efficacy by unmetallated ATSM in the same model using the same standardized study design. These results add to existing evidence supporting an efficacious role for copper delivery using chaperone molecules in mouse models of ALS.

Identifiers

PMID30135932
PMCPMC6084867
OpenAlexW2597300879

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.