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Hyperbilirubinemia in atazanavir treated HIV-infected patients: the impact of the UGT1A1*28 allele

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, June 2017
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Title
Hyperbilirubinemia in atazanavir treated HIV-infected patients: the impact of the UGT1A1*28 allele
Published in
Pharmacogenomics and Personalized Medicine, June 2017
DOI 10.2147/pgpm.s107152
Pubmed ID
Authors

Periklis Panagopoulos, Efstathios Maltezos, Angelos Hatzakis, Dimitrios Paraskevis

Abstract

Combination antiretroviral treatment (cART) has significantly improved the life expectancy of people living with HIV. The life-long nature of cART increases the risk of side effects, which in some cases may have been caused by specific genetic characteristics. Patients treated with atazanavir (ATV) boosted with ritonavir (rit), which is a protease inhibitor used for the treatment of HIV, present with elevated bilirubin levels, at high proportions. ATV/rit-related hyperbilirubinemia has been previously associated with genetic characteristics in uridine diphosphate glucuronosyltransferase (UGT) enzyme. The prevalence of the UGT1A1*28 variant, which is the most frequent polymorphism in the UGT1A1 superfamily, has been found to range between 9% and ~60% with the highest frequency in Africa. Pharmacokinetics for additional HIV drugs, such as the integrase inhibitors Raltegravir and Elvitegravir, has been also shown to be influenced by UGT1A1 polymorphisms. Pharmacogenetics/pharmacogenomics testing can be useful to identify a patient's susceptibility to drug toxicity and therefore to facilitate selection of the optimal long-term suppressive regimen.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 30%
Student > Master 4 15%
Other 3 11%
Student > Postgraduate 3 11%
Student > Doctoral Student 1 4%
Other 2 7%
Unknown 6 22%
Readers by discipline Count As %
Medicine and Dentistry 8 30%
Pharmacology, Toxicology and Pharmaceutical Science 4 15%
Immunology and Microbiology 3 11%
Chemistry 2 7%
Physics and Astronomy 1 4%
Other 1 4%
Unknown 8 30%
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 23 June 2017.
All research outputs
#20,964,263
of 25,748,735 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#1
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Outputs of similar age
#255,839
of 331,548 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
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