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Influence of APOA5 Locus on the Treatment Efficacy of Three Statins: Evidence From a Randomized Pilot Study in Chinese Subjects

Overview of attention for article published in Frontiers in Pharmacology, April 2018
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Title
Influence of APOA5 Locus on the Treatment Efficacy of Three Statins: Evidence From a Randomized Pilot Study in Chinese Subjects
Published in
Frontiers in Pharmacology, April 2018
DOI 10.3389/fphar.2018.00352
Pubmed ID
Authors

Sha Hua, Chuanxiang Ma, Jun Zhang, Jing Li, Weiwei Wu, Ning Xu, Guanghua Luo, Jianrong Zhao

Abstract

Pharmacogenetics or pharmacogenomics approaches are important for addressing the individual variabilities of drug efficacy especially in the era of precision medicine. One particular interesting gene to investigate is APOA5, which has been repeatedly linked with the inter-individual variations of serum triglycerides. Here, we explored APOA5-statin interactions in 195 Chinese subjects randomized to rosuvastatin (5-10 mg/day), atorvastatin (10-20 mg/day), or simvastatin (40 mg/day) for 12 weeks by performing a targeted genotyping analysis of the APOA5 promoter SNP rs662799 (-1131T > C). There were no significant differences between the treatment arms for any of the statin-induced changes in clinical biomarkers. Reductions in LDL cholesterol were influenced by the APOA5 genotype in all three treatment groups. By contrast, changes in HDL cholesterol, and triglycerides were only affected by the APOA5 genotype in the atorvastatin and simvastatin groups and not in the rosuvastatin group. Our results suggest that future studies may need to consider stratifying subjects not only by genetic background but also by prescribed statin type.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 22%
Student > Bachelor 5 14%
Researcher 5 14%
Student > Postgraduate 3 8%
Student > Ph. D. Student 3 8%
Other 4 11%
Unknown 8 22%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 6 17%
Biochemistry, Genetics and Molecular Biology 6 17%
Medicine and Dentistry 5 14%
Agricultural and Biological Sciences 5 14%
Unspecified 1 3%
Other 2 6%
Unknown 11 31%
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 08 April 2019.
All research outputs
#18,603,172
of 23,043,346 outputs
Outputs from Frontiers in Pharmacology
#8,403
of 16,368 outputs
Outputs of similar age
#255,517
of 329,173 outputs
Outputs of similar age from Frontiers in Pharmacology
#198
of 395 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,368 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 37th percentile – i.e., 37% 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 329,173 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 395 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.