2013
DOI: 10.3109/15563650.2013.818684
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Polymorphisms in CYP2D6 may predict methamphetamine related heart failure

Abstract: Our study demonstrates a trend that individuals with decreased metabolic activity were less likely to develop heart failure. While not statistically significant, a signal is present that extensive metabolizers may be at increased risk for the development of a cardiomyopathy.

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Cited by 24 publications
(17 citation statements)
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“…Vulnerability to the development of methamphetamineassociated cardiomyopathy appears to be genetically influenced. Cytochrome P450 polymorphism profiling may identify methamphetamine abusers at elevated risk of cardiomyopathy; CYP2D6 'extensive metabolisers' appear to be significantly more prone to both methamphetamineinduced cardiomyopathy and psychosis [33].…”
Section: Methamphetamine-associated Cardiomyopathymentioning
confidence: 99%
“…Vulnerability to the development of methamphetamineassociated cardiomyopathy appears to be genetically influenced. Cytochrome P450 polymorphism profiling may identify methamphetamine abusers at elevated risk of cardiomyopathy; CYP2D6 'extensive metabolisers' appear to be significantly more prone to both methamphetamineinduced cardiomyopathy and psychosis [33].…”
Section: Methamphetamine-associated Cardiomyopathymentioning
confidence: 99%
“…CYP2D6 is responsible for the first step of MA metabolism. Correlating to this, a small prospective case‐control study showed a, albeit statistically insignificant, trend that individuals with an increased CYP2D6 metabolism were more likely to develop DCM . A clinical case of a patient with MA abuse is depicted in Figure .…”
Section: Cardiac Complicationsmentioning
confidence: 72%
“…Indeed, (Berezin, 2016d;Fazakas et al, 2016;Friedrich et al, 2013;Hofman et al, 2010;Kolder et al, 2012;McNamara et al, 2014;Sutter et al, 2013). As biomarkers particularly used to scrutiny single nucleotide polymorphisms (SNPs) of genes encoding enzymes related to oxidative stress (Berezin, 2016e), genotype of guanine nucleotide-binding proteins (G-proteins) beta-3 subunit (GNB3) (Fazakas et al, 2016), transcription factor Islet-1 gene (McNamara et al, 2014), troponin T (Friedrich et al, 2013), CYP2D6 polymorphism (Hofman et al, 2010), cardiac myosin binding protein-C mutations (Friedrich et al, 2013), renin-angiotensin-aldosterone system polymorphism (Sutter et al, 2013) etc. Indeed, it is well known that angiotensin-converting enzyme (ACE) I/D gene D allele was associated with higher overall mortality as compared with the I allele in HF patients and that the effect could be modified by ACE inhibitors' given (Kolder et al, 2012).…”
Section: Genetic Biomarkersmentioning
confidence: 99%