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The antineoplastic drug, trastuzumab, dysregulates metabolism in iPSC‐derived cardiomyocytes

Overview of attention for article published in Clinical and Translational Medicine, January 2017
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Title
The antineoplastic drug, trastuzumab, dysregulates metabolism in iPSC‐derived cardiomyocytes
Published in
Clinical and Translational Medicine, January 2017
DOI 10.1186/s40169-016-0133-2
Pubmed ID
Authors

Brian M. Necela, Bianca C. Axenfeld, Daniel J. Serie, Jennifer M. Kachergus, Edith A. Perez, E. Aubrey Thompson, Nadine Norton

Abstract

The targeted ERBB2 therapy, trastuzumab, has had a tremendous impact on management of patients with HER2+ breast cancer, leading to development and increased use of further HER2 targeted therapies. The major clinical side effect is cardiotoxicity but the mechanism is largely unknown. On the basis that gene expression is known to be altered in multiple models of heart failure, we examined differential gene expression of iPSC-derived cardiomyocytes treated at day 11 with the ERBB2 targeted monoclonal antibody, trastuzumab for 48 h and the small molecule tyrosine kinase inhibitor of EGFR and ERBB2. Transcriptome sequencing was performed on four replicates from each group (48 h untreated, 48 h trastuzumab and 48 h lapatinib) and differential gene expression analyses were performed on each treatment group relative to untreated cardiomyocytes. 517 and 1358 genes were differentially expressed, p < 0.05, respectively in cardiomyocytes treated with trastuzumab and lapatinib. Gene ontology analyses revealed in cardiomyocytes treated with trastuzumab, significant down-regulation of genes involved in small molecule metabolism (p = 3.22 × 10(-9)) and cholesterol (p = 0.01) and sterol (p = 0.03) processing. We next measured glucose uptake and lactate production in iPSC-derived cardiomyocytes 13 days post-plating, treated with trastuzumab up to 96 h. We observed significantly decreased glucose uptake from the media of iPSC-derived cardiomyocytes treated with trastuzumab as early as 24 h (p = 0.001) and consistently up to 96 h (p = 0.03). Our study suggests dysregulation of cardiac gene expression and metabolism as key elements of ERBB2 signaling that could potentially be early biomarkers of cardiotoxicity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 20%
Student > Bachelor 10 16%
Student > Ph. D. Student 10 16%
Student > Master 7 11%
Professor > Associate Professor 2 3%
Other 5 8%
Unknown 15 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 21%
Agricultural and Biological Sciences 9 15%
Medicine and Dentistry 9 15%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Engineering 3 5%
Other 6 10%
Unknown 17 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 May 2017.
All research outputs
#16,721,717
of 25,374,647 outputs
Outputs from Clinical and Translational Medicine
#526
of 1,060 outputs
Outputs of similar age
#254,814
of 421,363 outputs
Outputs of similar age from Clinical and Translational Medicine
#9
of 10 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 421,363 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.