Evidence map›Paper›PMID 34680138›Full record

ArticleBiomolecules2021

Sertoli Cells Improve Myogenic Differentiation, Reduce Fibrogenic Markers, and Induce Utrophin Expression in Human DMD Myoblasts.

Laura Salvadori, Sara Chiappalupi, Iva Arato, Francesca Mancuso, Mario Calvitti, Maria Cristina Marchetti, Francesca Riuzzi, Riccardo Calafiore, Giovanni Luca, Guglielmo Sorci

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

Article in Biomolecules, 2021. 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
0.3field-weighted citation impact, top 43% 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, 4 citations in OpenAlex.

  1. Article
  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

10 authors at 2 institutions in 1 country.

Laura SalvadoriDepartment of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy.
Sara ChiappalupiInteruniversity Institute of Myology (IIM), 06132 Perugia, Italy.
Iva AratoDepartment of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy.
Francesca MancusoDepartment of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy.
Mario CalvittiDepartment of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy.
Maria Cristina MarchettiDepartment of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy.
Francesca RiuzziInteruniversity Institute of Myology (IIM), 06132 Perugia, Italy.ORCID 0000-0001-7908-3379
Riccardo CalafioreDepartment of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy.
Giovanni LucaDepartment of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy.
Guglielmo SorciInteruniversity Institute of Myology (IIM), 06132 Perugia, Italy.ORCID 0000-0002-1973-9679
University of Perugia · ITUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Duchenne muscular dystrophy (DMD) is an X-linked disease caused by mutations in

Indexed as

AnimalsCell DifferentiationCell ProliferationCell TransdifferentiationDisease Models, AnimalDystrophinErb-b2 Receptor Tyrosine KinasesGene Expression RegulationGenetic Diseases, X-LinkedHumansInflammationInjections, IntraperitonealMaleMAP Kinase Signaling SystemMiceMuscle, SkeletalDystrophinERBB2 protein, humanErb-b2 Receptor Tyrosine Kinasesheregulin beta1Neuregulin-1Utrophinduchenne muscular dystrophy (DMD)fibrosisheregulin β1myoblast differentiationmyofibroblast transdifferentiationSertoli cellutrophin

Identifiers

PMID34680138
PMCPMC8533898
OpenAlexW3206683918

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.