Evidence map›Paper›PMID 28687523›Full record

ReviewMolecular and cellular neurosciences2017

TDP-43 in the spectrum of MND-FTLD pathologies.

Lanier Heyburn, Charbel E-H Moussa

Open access · greenAbstract readReview
In one paragraph

Review in Molecular and cellular neurosciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 24 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

2 authors at 1 institution in 1 country.

Lanier HeyburnDepartment of Neurology, Translational Neurotherapeutics Program, Laboratory for Dementia and Parkinsonism, Georgetown University Medical Center, Washington D.C. 20007, USA; Department of Pathology, Georgetown University Medical Center, Washington D.C., USA 20007. Electronic address: lah96@georgetown.edu.
Charbel E-H MoussaDepartment of Neurology, Translational Neurotherapeutics Program, Laboratory for Dementia and Parkinsonism, Georgetown University Medical Center, Washington D.C. 20007, USA.
Georgetown University · US

Funding

Predoctoral Training in Intergrative NeuroscienceT32NS041231 · NINDS · GEORGETOWN UNIVERSITY · PI Ludise Malkova, Ashley S VanMeter · 2001 to 2026
$6.8M
Training in Neural Injury &PlasticityT32NS041218 · NINDS · GEORGETOWN UNIVERSITY · PI MARK P BURNS, Kathleen Anne Maguire-Zeiss · 2001 to 2026
$3.5M
NINDS NIH HHS T32 NS041218NINDS NIH HHS T32 NS041231
6 · The paper itself

Abstract

The relationship between RNA-binding proteins, particularly TAR DNA binding protein 43 (TDP-43), and neurodegeneration is an important area of research. TDP-43 is involved in so many cellular processes that perturbation of protein homeostasis can lead to countless downstream effects. Understanding what leads to this disease-related protein imbalance and the resulting cellular and molecular effects will help to develop targets for disease intervention, whether it be prevention of protein accumulation, or addressing a secondary effect of protein accumulation. Here we review the current literature of TDP-43 and TDP-43 pathologies, the effects of TDP-43 overexpression and disruption of synaptic proteins through its binding of messenger RNA, leading to synaptic dysfunction. This review highlights some of the still-limited knowledge of the protein TDP-43 and how it can contribute to disease.

Indexed as

AnimalsBrainDNA-Binding ProteinsFrontotemporal Lobar DegenerationHumansMotor Neuron DiseaseProtein Aggregation, PathologicalSynaptic TransmissionDNA-Binding ProteinsTARDBP protein, human

Identifiers

PMID28687523
PMCPMC5581706
OpenAlexW2732381977

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.