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Modeling the mitochondrial cardiomyopathy of Barth syndrome with induced pluripotent stem cell and heart-on-chip technologies

Overview of attention for article published in Nature Medicine, May 2014
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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Title
Modeling the mitochondrial cardiomyopathy of Barth syndrome with induced pluripotent stem cell and heart-on-chip technologies
Published in
Nature Medicine, May 2014
DOI 10.1038/nm.3545
Pubmed ID
Authors

Gang Wang, Megan L McCain, Luhan Yang, Aibin He, Francesco Silvio Pasqualini, Ashutosh Agarwal, Hongyan Yuan, Dawei Jiang, Donghui Zhang, Lior Zangi, Judith Geva, Amy E Roberts, Qing Ma, Jian Ding, Jinghai Chen, Da-Zhi Wang, Kai Li, Jiwu Wang, Ronald J A Wanders, Wim Kulik, Frédéric M Vaz, Michael A Laflamme, Charles E Murry, Kenneth R Chien, Richard I Kelley, George M Church, Kevin Kit Parker, William T Pu

Abstract

Study of monogenic mitochondrial cardiomyopathies may yield insights into mitochondrial roles in cardiac development and disease. Here, we combined patient-derived and genetically engineered induced pluripotent stem cells (iPSCs) with tissue engineering to elucidate the pathophysiology underlying the cardiomyopathy of Barth syndrome (BTHS), a mitochondrial disorder caused by mutation of the gene encoding tafazzin (TAZ). Using BTHS iPSC-derived cardiomyocytes (iPSC-CMs), we defined metabolic, structural and functional abnormalities associated with TAZ mutation. BTHS iPSC-CMs assembled sparse and irregular sarcomeres, and engineered BTHS 'heart-on-chip' tissues contracted weakly. Gene replacement and genome editing demonstrated that TAZ mutation is necessary and sufficient for these phenotypes. Sarcomere assembly and myocardial contraction abnormalities occurred in the context of normal whole-cell ATP levels. Excess levels of reactive oxygen species mechanistically linked TAZ mutation to impaired cardiomyocyte function. Our study provides new insights into the pathogenesis of Barth syndrome, suggests new treatment strategies and advances iPSC-based in vitro modeling of cardiomyopathy.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 760 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 1%
United Kingdom 4 <1%
Sweden 2 <1%
Austria 1 <1%
Netherlands 1 <1%
Canada 1 <1%
Germany 1 <1%
China 1 <1%
Iran, Islamic Republic of 1 <1%
Other 0 0%
Unknown 739 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 197 26%
Researcher 125 16%
Student > Master 98 13%
Student > Bachelor 68 9%
Student > Doctoral Student 45 6%
Other 99 13%
Unknown 128 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 177 23%
Biochemistry, Genetics and Molecular Biology 155 20%
Engineering 116 15%
Medicine and Dentistry 74 10%
Neuroscience 18 2%
Other 73 10%
Unknown 147 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 253. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 February 2024.
All research outputs
#148,081
of 26,017,215 outputs
Outputs from Nature Medicine
#656
of 9,421 outputs
Outputs of similar age
#1,138
of 245,646 outputs
Outputs of similar age from Nature Medicine
#4
of 99 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,421 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 105.2. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 245,646 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.