Evidence map›Paper›PMID 25702278›Full record

ArticleThe American journal of cardiology2015

Dystrophin genotype-cardiac phenotype correlations in Duchenne and Becker muscular dystrophies using cardiac magnetic resonance imaging.

Animesh Tandon, John L Jefferies, Chet R Villa, Kan N Hor, Brenda L Wong, Stephanie M Ware, Zhiqian Gao, Jeffrey A Towbin, Wojciech Mazur, Robert J Fleck and 3 more

Abstract read
In one paragraph

Article in The American journal of cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Natural History of a Mouse Model Overexpressing the Dp71 Dystrophin Isoform.International journal of molecular sciences · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Systemic AAV Micro-dystrophin Gene Therapy for Duchenne Muscular Dystrophy.Molecular therapy : the journal of the American Society of Gene Therapy · 2018
    Review
  12. Article
  13. Article
  14. Upper arm and cardiac magnetic resonance imaging in Duchenne muscular dystrophy.Annals of clinical and translational neurology · 2016
    Article
  15. 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

13 authors.

Animesh TandonThe Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
John L JefferiesThe Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Chet R VillaThe Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Kan N HorThe Heart Center, Nationwide Children's Hospital, Columbus, Ohio.
Brenda L WongDivision of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Stephanie M WareThe Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Zhiqian GaoThe Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Jeffrey A TowbinThe Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Wojciech MazurThe Heart and Vascular Center at the Christ Hospital, Cincinnati, Ohio.
Robert J FleckDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Joshua J StickaThe Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
D Woodrow BensonHerma Heart Center, Children's Hospital of Wisconsin, Milwaukee, Wisconsin.
Michael D TaylorThe Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio. Electronic address: Michael.Taylor1@cchmc.org.

Funding

LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., KISSELA, BRETT M · 2015 to 2024
$37.5M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR026314 · NCRR · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E. · 2009 to 2011
$14.3M
Cincinnati Center for Clinical and Translational Sciences and TrainingUL1TR000077 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E. · 2012 to 2014
$9.9M
NCATS NIH HHS UL1 TR000077NCATS NIH HHS UL1 TR001425NCRR NIH HHS UL1 RR026314
6 · The paper itself

Abstract

Duchenne and Becker muscular dystrophies are caused by mutations in dystrophin. Cardiac manifestations vary broadly, making prognosis difficult. Current dystrophin genotype-cardiac phenotype correlations are limited. For skeletal muscle, the reading-frame rule suggests in-frame mutations tend to yield milder phenotypes. We performed dystrophin genotype-cardiac phenotype correlations using a protein-effect model and cardiac magnetic resonance imaging. A translational model was applied to patient-specific deletion, indel, and nonsense mutations to predict exons and protein domains present within truncated dystrophin protein. Patients were dichotomized into predicted present and predicted absent groups for exons and protein domains of interest. Development of myocardial fibrosis (represented by late gadolinium enhancement [LGE]) and depressed left ventricular ejection fraction (LVEF) were compared. Patients (n = 274) with predicted present cysteine-rich domain (CRD), C-terminal domain (CTD), and both the N-terminal actin-binding and cysteine-rich domains (ABD1 + CRD) had a decreased risk of LGE and trended toward greater freedom from LGE. Patients with predicted present CTD (exactly the same as those with in-frame mutations) and ABD1 + CRD trended toward decreased risk of and greater freedom from depressed LVEF. In conclusion, genotypes previously implicated in altering the dystrophinopathic cardiac phenotype were not significantly related to LGE and depressed LVEF. Patients with predicted present CRD, CTD/in-frame mutations, and ABD1 + CRD trended toward milder cardiac phenotypes, suggesting that the reading-frame rule may be applicable to the cardiac phenotype. Genotype-phenotype correlations may help predict the cardiac phenotype for dystrophinopathic patients and guide future therapies.

Indexed as

MutationAdolescentAdultCardiomyopathiesChildChild, PreschoolDNADNA Mutational AnalysisDystrophinExonsFemaleHumansMagnetic Resonance ImagingMagnetic Resonance Imaging, CineMaleMuscle, SkeletalDNADystrophin

Identifiers

PMID25702278
PMCPMC5568575

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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.