Evidence map›Paper›PMID 31589164›Full record

ArticleThe Journal of clinical investigation2019

An unbiased approach de-livers unexpected insight into torsin biology.

Sarah M Prophet, Christian Schlieker

Open access · bronzeAbstract readComment
In one paragraph

Article in The Journal of clinical investigation, 2019. 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
0.2field-weighted citation impact, top 50% 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. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Sarah M ProphetDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, USA.
Christian SchliekerDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, USA.
Yale University · US

Funding

Skill Development for Diverse Scientific Careers: A New Course Predoctoral Program in Cellular and Molecular BiologyT32GM007223 · NIGMS · YALE UNIVERSITY · PI BASERGA, SUSAN J · 1985 to 2019
$31.0M
Structure-function analysis of Torsin ATPases in the context of the membraneR01GM114401 · NIGMS · YALE UNIVERSITY · PI SCHLIEKER, CHRISTIAN DIRK · 2016 to 2019
$1.3M
Defining the nuclear envelope-resident protein turnover machinery implicated in diseases affecting cholesterol metabolismR01GM126835 · NIGMS · YALE UNIVERSITY · PI SCHLIEKER, CHRISTIAN DIRK · 2018 to 2021
$1.3M
NIGMS NIH HHS R01 GM114401NIGMS NIH HHS R01 GM126835NIGMS NIH HHS T32 GM007223
6 · The paper itself

Abstract

Mutations affecting the integrity of the essential torsin ATPase/cofactor system have been identified in a steadily increasing number of congenital disorders. Since most of these mutations affect brain function, much of the research has focused on deciphering disease etiology in the brain. However, torsin is expressed in a wide variety of nonneural tissues and is strictly conserved across species, including the lowest metazoans, suggesting that it plays roles extending beyond neurons. In this issue of the JCI, Shin et al. explored torsin function in the mammalian liver. The group reports major defects in hepatic lipid metabolism when the torsin system is compromised in mice. Remarkably, conditional deletion of either torsinA or its cofactor, lamina-associated polypeptide 1 (LAP1), resulted in fatty liver disease and steatohepatitis, likely from a secretion defect of VLDLs. This study considerably expands our understanding of torsin biology, while providing defined opportunities for future investigations of torsin function and dysfunction in human pathologies.

Indexed as

Fatty LiverNuclear EnvelopeAnimalsHumansMembrane ProteinsMicePeptidesMembrane ProteinsPeptides

Identifiers

PMID31589164
PMCPMC6819095
OpenAlexW2978991923

What OpenQuestion holds

Textmetadata
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.