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Metabolic Characterization of a Novel RORα Knockout Mouse Model without Ataxia

Overview of attention for article published in Frontiers in endocrinology, July 2017
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Title
Metabolic Characterization of a Novel RORα Knockout Mouse Model without Ataxia
Published in
Frontiers in endocrinology, July 2017
DOI 10.3389/fendo.2017.00141
Pubmed ID
Authors

Cyrielle Billon, Sadichha Sitaula, Thomas P. Burris

Abstract

The retinoic acid receptor-related receptor α (RORα) is a nuclear receptor that plays an important role in regulation of metabolism and the immune system. Genetic deletion of the receptor yields mice with significant cerebellar developmental issues associated with severe ataxia. Although many metabolic studies have been performed in these models, the impaired locomotor activity of these mice is known to affect their normal mobility and feeding behaviors. This creates some difficulty in interpretation of the role of RORα in models of metabolic disease where feeding and muscle function is a critical component of the pathophysiology. We generated a mouse with a floxed Rora allele that we crossed with a mouse line expressing Cre recombinase under the control of the EIIa promoter to obtain a full body deletion of Rora. This cross led to a partial deletion of the Rora locus likely due to mosaic expression of the EIIa-Cre transgene. These mice lack any signs of ataxia but display an improved metabolic profile relative to normal WT mice. The mice were resistant to diet- and age-induced metabolic syndrome and exhibited improved glucose tolerance and increased insulin sensitivity. Decreased RORα expression in the mice was also associated with reduced inflammation in models of metabolic syndrome. These data indicate that suppression of RORα activity improves metabolic function and reduces inflammation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Student > Master 3 17%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Professor 1 6%
Other 3 17%
Unknown 5 28%
Readers by discipline Count As %
Medicine and Dentistry 4 22%
Biochemistry, Genetics and Molecular Biology 3 17%
Neuroscience 2 11%
Agricultural and Biological Sciences 1 6%
Veterinary Science and Veterinary Medicine 1 6%
Other 2 11%
Unknown 5 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 July 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Frontiers in endocrinology
#8,338
of 13,018 outputs
Outputs of similar age
#284,484
of 324,855 outputs
Outputs of similar age from Frontiers in endocrinology
#75
of 102 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,018 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.