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ABCB1 and ABCC1 single-nucleotide polymorphisms in patients treated with clozapine

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, August 2017
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Title
ABCB1 and ABCC1 single-nucleotide polymorphisms in patients treated with clozapine
Published in
Pharmacogenomics and Personalized Medicine, August 2017
DOI 10.2147/pgpm.s142314
Pubmed ID
Authors

Irina Piatkov, Dorgival Caetano, Yolinda Assur, Sue Lynn Lau, Trudi Jones, Steven C Boyages, Mark McLean

Abstract

Clozapine (CZ) has superior efficacy to other antipsychotic agents in the treatment of schizophrenia and has been extensively used in clinical practice. ATP-binding cassette (ABC) transporter proteins are responsible for the distribution of various molecules as well as drugs across extracellular and intracellular membranes, including the blood-brain barrier. Genetic variations in these proteins can account for differences in treatment response. We investigated the influence of ABCB1 rs1045642 and ABCC1 rs212090 single-nucleotide polymorphisms (SNPs) on CZ serum level, clinical outcome, and changes in body mass index (BMI) in the first year of CZ treatment. These polymorphisms influenced baseline BMI in males (p=0.009 and 0.054, B1 and C1, respectively), changes in BMI in males after 3 (p=0.026, ABCB1) and 12 months (p=0.022, ABCC1) of CZ treatment, and level of diastolic pressure (p=0.002 and 0.051, respectively). The combination of ABCB1 + ABCC1 homozygote SNPs was associated with increased CZ and norclozapine serum levels (p=0.054 and 0.010, respectively). ABC transporter SNPs could be potential biomarkers for CZ-induced weight gain and cardiovascular complications. Further pharmacogenetic research is warranted to help clinicians with their treatment decision, including concomitant use of drugs and prevention of side effects.

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Mendeley readers

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The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 20%
Student > Ph. D. Student 5 14%
Student > Bachelor 2 6%
Student > Master 2 6%
Other 1 3%
Other 1 3%
Unknown 17 49%
Readers by discipline Count As %
Medicine and Dentistry 8 23%
Pharmacology, Toxicology and Pharmaceutical Science 7 20%
Psychology 1 3%
Sports and Recreations 1 3%
Design 1 3%
Other 0 0%
Unknown 17 49%
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 31 August 2017.
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#20,964,263
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Outputs from Pharmacogenomics and Personalized Medicine
#1
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#254,644
of 328,532 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
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