Evidence map›Paper›PMID 31680811›Full record

ArticleFrontiers in neuroscience2019

ASCs-Exosomes Recover Coupling Efficiency and Mitochondrial Membrane Potential in an

Elisa Calabria, Ilaria Scambi, Roberta Bonafede, Lorenzo Schiaffino, Daniele Peroni, Valentina Potrich, Carlo Capelli, Federico Schena, Raffaella Mariotti

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

53 citing papers in PubMed, 81 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

9 authors at 3 institutions in 2 countries.

Elisa CalabriaDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Ilaria ScambiDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Roberta BonafedeDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Lorenzo SchiaffinoDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Daniele PeroniDepartment of Translational Genomics, Centre for Integrative Biology, University of Trento, Trento, Italy.
Valentina PotrichDepartment of Translational Genomics, Centre for Integrative Biology, University of Trento, Trento, Italy.
Carlo CapelliDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Federico SchenaDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Raffaella MariottiDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
University of Verona · ITUniversity of Trento · ITNorwegian School of Sport Sciences · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder characterized by motoneurons death. Mutations in the superoxide dismutase 1 (SOD1) protein have been identified to be related to the disease. Beyond the different altered pathways, the mitochondrial dysfunction is one of the major features that leads to the selective death of motoneurons in ALS. The NSC-34 cell line, overexpressing human SOD1(G93A) mutant protein [NSC-34(G93A)], is considered an optimal

Indexed as

ALScomplex Icoupling efficiencyexosomeshigh resolution respirometrymembrane potentialmitochondriaNSC-34 cell line

Identifiers

PMID31680811
PMCPMC6811497
OpenAlexW2980841794

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.