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Statin resistance in Candida glabrata

Overview of attention for article published in Biotechnology Techniques, July 2018
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Title
Statin resistance in Candida glabrata
Published in
Biotechnology Techniques, July 2018
DOI 10.1007/s10529-018-2597-1
Pubmed ID
Authors

Mishal Subhan, Rani Faryal, Ian Macreadie

Abstract

Reduced efficacy of statins has been observed in people but the mechanism of this resistance is unclear and no statin-resistance mutations in the catalytic domain of HMGCR have been reported. The present study focused on looking for statin-resistance mutations and examining the mechanism of statin resistance using Candida glabrata as a model organism. C. glabrata was cultured in media containing lovastatin, simvastatin or atorvastatin to obtain lovastatin-, simvastatin- and atorvastatin-resistant mutants. A single mutant from each was purified for further analysis. In each mutant, gene sequencing showed there were no changes in the catalytic domain of HMGCR. HMGCR was overexpressed in two resistant isolates suggesting that increased production of HMGCR can lead to resistance. In a third mutant, HMGCR activity was unaltered, suggesting a non-HMGCR related mechanism, such as increased drug efflux, could be operating. Candida glabrata is a useful model organism for examining resistance to statins. Further studies are warranted to examine the precise molecular mechanisms of statin resistance.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 36%
Student > Bachelor 2 14%
Lecturer 1 7%
Other 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 36%
Medicine and Dentistry 2 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Engineering 1 7%
Unknown 5 36%
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 29 July 2018.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Biotechnology Techniques
#2,493
of 2,762 outputs
Outputs of similar age
#299,057
of 341,510 outputs
Outputs of similar age from Biotechnology Techniques
#10
of 10 outputs
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So far Altmetric has tracked 2,762 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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