Evidence map›Paper›PMID 24047347›Full record

ArticleUltrastructural pathology2013

Formation of gelsolin amyloid fibrils in the rough endoplasmic reticulum of skeletal muscle in the gelsolin mouse model of inclusion body myositis: comparative analysis to human sporadic inclusion body myositis.

Sergei I Bannykh, William E Balch, Jeffery W Kelly, Lesley J Page, G Diane Shelton

Open access · greenAbstract readComparative Study
In one paragraph

Article in Ultrastructural pathology, 2013. 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, top 88% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 3 institutions in 1 country.

Sergei I BannykhDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center , Los Angeles, California , USA .
William E Balch
Jeffery W Kelly
Lesley J Page
G Diane Shelton
Scripps Research Institute · USCedars-Sinai Medical Center · USUniversity of California, San Diego · US

Funding

TRAFFICKING AND ABETA AGGREGATIONP01AG031097 · NIA · SCRIPPS RESEARCH INSTITUTE, THE · PI KELLY, JEFFERY W · 2009 to 2013
$10.2M
A Multidisciplinary Analysis of Gelsolin Amyloid DiseaseR01AG018917 · NIA · SCRIPPS RESEARCH INSTITUTE, THE · PI KELLY, JEFFERY W · 2002 to 2010
$4.2M
NIA NIH HHS AG031097NIA NIH HHS AG18917NIA NIH HHS P01 AG031097NIA NIH HHS R01 AG018917
6 · The paper itself

Abstract

Sporadic inclusion body myositis has a significant impact on the life of the elderly. Despite some similarities to other myopathies with established genetic defects, little is known about mechanisms of its development and no effective treatment is available. Therefore, there is a need for animal models that can faithfully reconstitute important aspects of this human disease. The authors recently expressed a mutant form of human gelsolin in mice under the control of a muscle-specific promoter. This induced myopathic changes reminiscent of human inclusion body myositis. In this study, immunogold labeling is used to further characterize this model. The study demonstrates a presence of gelsolin amyloid deposits within the rough endoplasmic reticulum. It further compares this mouse model to human sporadic inclusion body myositis.

Indexed as

AgedAged, 80 and overAmyloidAnimalsBiopsyDisease Models, AnimalEndoplasmic Reticulum, RoughFemaleGelsolinGenetic Predisposition to DiseaseHumansImmunohistochemistryMaleMiceMice, TransgenicMicroscopy, ImmunoelectronAmyloidGelsolin

Identifiers

PMID24047347
PMCPMC4461228
OpenAlexW2072758295

What OpenQuestion holds

Textmetadata
LicenceTDM
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.