Background. A proper antalgic treatment is based on the use of titrated drugs to provide adequate relief and a good tolerability profile. Therapies have a variable effectiveness among subjects depending onmedical and genetic conditions. CYP2D6 variations determine a different clinical response to most analgesic drugs commonly used in daily clinical practice by influencing the drugs' pharmacokinetics. This study was a monocentric clinical trial exploring the CYP2D6 variants in 100 patients with a diagnosis of chronic pain. Methods. DNA was extracted to evaluate the genotype and to classify patients as normal-fast (gNMs-F), normal-slow (gNMs-S), ultrarapid (gUMs), intermediate (gIMs), and poor metabolizers (gPMs) using the Activity Score (AS). Information on therapies and general side effects experienced by patients was collected. Nongenetic co-factors were evaluated to examine the discrepancy between metabolic profile predicted from genotype (gPh) and metabolic profile (phenocopying). Results. The distribution of our data underlined the prevalence of the gNMs-F (67%), whereas gNMs-S were 24%, gIMs 6%, gPMs 3%, and no gUMs were found, resulting in 33% of patients with reduced metabolic activity. In the analyzed population sample, 86% and 56% of patients, respectively, took at least one or two drugs inhibiting in vitro activity of the CYP2D6 enzyme. Conclusions. Over one-third of the enrolled patients showed altered CYP2D6 enzymatic metabolic activity, with a risk of phenocopying potentially due to polypharmacology.

An Explorative Study of CYP2D6's Polymorphism in a Sample of Chronic Pain Patients / Fanelli, Andrea; Palazzo, Chiara; Balzani, Eleonora; Iuvaro, Alessandra; Pelotti, Susi; Melotti, Rita Maria. - In: PAIN MEDICINE. - ISSN 1526-2375. - ELETTRONICO. - 21:5(2020), pp. 1010-1017. [10.1093/pm/pnz265]

An Explorative Study of CYP2D6's Polymorphism in a Sample of Chronic Pain Patients

Fanelli, Andrea;Balzani, Eleonora
;
2020-01-01

Abstract

Background. A proper antalgic treatment is based on the use of titrated drugs to provide adequate relief and a good tolerability profile. Therapies have a variable effectiveness among subjects depending onmedical and genetic conditions. CYP2D6 variations determine a different clinical response to most analgesic drugs commonly used in daily clinical practice by influencing the drugs' pharmacokinetics. This study was a monocentric clinical trial exploring the CYP2D6 variants in 100 patients with a diagnosis of chronic pain. Methods. DNA was extracted to evaluate the genotype and to classify patients as normal-fast (gNMs-F), normal-slow (gNMs-S), ultrarapid (gUMs), intermediate (gIMs), and poor metabolizers (gPMs) using the Activity Score (AS). Information on therapies and general side effects experienced by patients was collected. Nongenetic co-factors were evaluated to examine the discrepancy between metabolic profile predicted from genotype (gPh) and metabolic profile (phenocopying). Results. The distribution of our data underlined the prevalence of the gNMs-F (67%), whereas gNMs-S were 24%, gIMs 6%, gPMs 3%, and no gUMs were found, resulting in 33% of patients with reduced metabolic activity. In the analyzed population sample, 86% and 56% of patients, respectively, took at least one or two drugs inhibiting in vitro activity of the CYP2D6 enzyme. Conclusions. Over one-third of the enrolled patients showed altered CYP2D6 enzymatic metabolic activity, with a risk of phenocopying potentially due to polypharmacology.
2020
5
Settore MED/41 - Anestesiologia
Settore MEDS-23/A - Anestesiologia
Fanelli, Andrea; Palazzo, Chiara; Balzani, Eleonora; Iuvaro, Alessandra; Pelotti, Susi; Melotti, Rita Maria
An Explorative Study of CYP2D6's Polymorphism in a Sample of Chronic Pain Patients / Fanelli, Andrea; Palazzo, Chiara; Balzani, Eleonora; Iuvaro, Alessandra; Pelotti, Susi; Melotti, Rita Maria. - In: PAIN MEDICINE. - ISSN 1526-2375. - ELETTRONICO. - 21:5(2020), pp. 1010-1017. [10.1093/pm/pnz265]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/451913
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