Skip to main content
British Journal of Clinical Pharmacology logoLink to British Journal of Clinical Pharmacology
letter
. 2015 Jul 14;80(4):777–778. doi: 10.1111/bcp.12659

Phenoconversion and therapeutic drug monitoring

Jose de Leon 1,2,3,
PMCID: PMC4594716  PMID: 25881716

I would like to congratulate Shah and Smith for their excellent comprehensive review of phenoconversion 1. They used a narrow definition of personalized medicine, restricted to pharmacogenetics, as they described phenoconversion as its Achilles heel. A more comprehensive view of personalized medicine and its application for prescribing medication, personalized prescription, considers not only genetic factors, but also environmental and personal factors 2. Inhibitors, among environmental factors, and inflammation, among personal factors, can cause phenoconversion to a poor metabolizer (PM) phenotype. Personalized prescription can be implemented as personalized drug selection and personalized dosing 2. Combining pharmacogenetics and therapeutic drug monitoring (TDM) is the best way for implementing personalized dosing 3. Moreover, with TDM, phenoconversion is no longer a problem but a helpful piece of additional information.

Venlafaxine and risperidone TDM and cytochrome P450 (CYP) 2D6 genotyping are described as examples. A plasma O-desmethylvenlafaxine/venlafaxine concentration ratio <1 signals the absence of CYP2D6 activity, explained by genetic PM status, or by phenoconversion after taking a powerful CYP2D6 inhibitor or from competitive inhibition after the use of venlafaxine itself 4. Shah and Smith described these types of PMs, respectively, as gPM and pPM 1. Preskorn et al. 4, using this ratio, found that venlafaxine had mild CYP2D6 inhibitory properties and that 21% (159/748) of CYP2D6 extensive metabolizers (EMs) experienced phenoconversion to pPM status. Not unexpectedly, nine subjects with a genotype of CYP2D6 *4/*10 (a null allele and an allele with very low activity) had a median ratio of 1.2, as venlafaxine competitively inhibited the very limited CYP2D6 activity they had.

A risperidone TDM ratio was first used in psychiatry to detect phenoconversion after a risperidone North American randomized clinical trial (RCT) 5. CYP2D6 EMs had higher plasma 9-hydroxyrisperidone concentrations than risperidone concentrations. If we then calculate a risperidone/9-hydroxyrisperidone ratio for CYP2D6 EMs, the ratio is <1 6. An inverted ratio, with higher concentrations of risperidone than 9-hydroxyrisperidone, occurred in CYP2D6 PMs and was expected in 50% of CYP2D6 EMs taking paroxetine or fluoxetine 5. Unfortunately, the RCT risperidone TDM data were never published by the company in a peer-reviewed journal but were only presented in a poster. In a review article 7, graphics summarized the TDM data from the RCT by focusing on the mean values of the risperidone/9-hydroxyrisperidone ratio and the total concentration-to-dose ratio (C/D ratio), a measure of risperidone clearance from the body. The total concentration is calculated by adding the risperidone and 9-hydroxyrisperidone plasma concentrations 7.

In a naturalistic study of risperidone pharmacogenetics, 277 patients provided risperidone TDM data 8. Table1 shows that an inverted ratio (risperidone/9-hydroxirisperidone ratio >1) was present in almost every CYP2D6 gPM [95% (19/20) vs. 15% (39/257) for the rest of the patients]. Phenoconversion was particularly frequent [83% (5/6)] in the intermediate metabolizers (IMs) taking CYP2D6 inhibitors.

Frequency of inverted ratios in risperidone therapeutic drug monitoring study with 277 patients

Frequency of inverted ratios*
Total sample On inhibitors No inhibitors
CYP2D6 genotyping
gPMs 95% (19/20)
Non gPMs 15% (39/257) 63% (27/43) 6% (12/214)
gIMs 43% (13/30) 83% (5/6) 33% (8/24)
gEMs 12% (26/219) 61% (22/36)§ 2% (4/183)
gUMs 0% (0/8) 0% (0/1) 0% (0/7)

CYP, cytochrome P450; gEM, genetic extensive metabolizer; gIM, genetic intermediate metabolizer; gPM, genetic poor metabolizer; gUM, genetic ultrarapid metabolizer.

*

Another factor influencing an inverted ratio was body weight. After excluding the CYP2D6 gPMs, a logistic regression analysis of risperidone/9-hydoxirisperidone >1 was performed. The significant variables were the number of CYP2D6 active alleles [odds ratio (OR) = 0.18; 99% confidence interval 0.08, 0.43], use of CYP inhibitors (OR = 16.7; 6.2, 44.9) and body weight higher than the sample mean (OR = 0.27; 0.10, 0.69).

Bupropion, fluoxetine or paroxetine. Bupropion is a moderate CYP2D6 inhibitor; paroxetine and fluoxetine are potent CYP2D6 inhibitors.

Any patient who is not a gPM and has an inverted ratio would be a pPM, according to the terminology proposed by Shah and Smith 1.

§

Phenoconversion is influenced by the CYP2D6 genotype. In the 36 gEMs on inhibitors, the frequency of inverted ratios was 61%, but the prevalence varied according to the number of active alleles: 80% (12/15) in those with 1.0 active allele, 71% (5/7) in those with 1.4 active alleles and 36% (5/14) in those with 2.0 active alleles.

A clobazam TDM ratio may also be used to establish phenoconversion. After reviewing the clobazam literature, we have proposed that a steady-state plasma N-desmethylclobazam/clobazam ratio >25 will identify a CYP2C19 gPM as long as CYP2C19 inhibitors are absent 9. Interpreting clozapine TDM is more complex, requiring stratification by smoking and gender because they influence CYP1A2 activity. A clozapine concentration/dose ratio of >1.20 in a US female non-smoker is suggestive of poor clozapine metabolism 10.

Competing Interests

This letter to the editor was completed without any external funding. No commercial organizations had any role in the writing of this paper for publication. The author has completed the Unified Competing Interest form at http://www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declares: no financial relationships with any organizations that might have an interest in the submitted work in the previous 3 years.

Lorraine Maw, M.A., at the UK Mental Health Research Center helped with editing.

References

  1. Shah RR, Smith RL. Addressing phenoconversion: the Achilles’ heel of personalized medicine. Br J Clin Pharmacol. 2015;79:222–40. doi: 10.1111/bcp.12441. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. de Leon J. The future (or lack of future) of personalized prescription in psychiatry. Pharmacol Res. 2009;59:81–9. doi: 10.1016/j.phrs.2008.10.002. [DOI] [PubMed] [Google Scholar]
  3. Crettol S, de Leon J, Hiemke C, Eap CB. Pharmacogenomics in psychiatry: from therapeutic drug monitoring to genomic medicine. Clin Pharmacol Ther. 2014;95:254–7. doi: 10.1038/clpt.2013.221. [DOI] [PubMed] [Google Scholar]
  4. Preskorn SH, Kane CP, Lobello K, Nichols AI, Fayyad R, Buckley G, Focht K, Guico-Pabia CJ. Cytochrome P450 2D6 phenoconversion is common in patients being treated for depression: implications for personalized medicine. J Clin Psychiatry. 2013;74:614–21. doi: 10.4088/JCP.12m07807. [DOI] [PubMed] [Google Scholar]
  5. Ereshefsky L. Pharmacokinetics and drug interactions: update for new antipsychotics. J Clin Psychiatry. 1996;57(Suppl. 11):12–25. [PubMed] [Google Scholar]
  6. Bork JA, Rogers T, Wedlund PJ, de Leon J. A pilot study on risperidone metabolism: the role of cytochromes P450 2D6 and 3A. J Clin Psychiatry. 1999;60:469–76. [PubMed] [Google Scholar]
  7. de Leon J, Sandson NB, Cozza KL. A preliminary attempt to personalize risperidone dosing using drug–drug interactions and genetics: part II. Psychosomatics. 2008;49:347–61. doi: 10.1176/appi.psy.49.4.347. [DOI] [PubMed] [Google Scholar]
  8. de Leon J, Susce MT, Pan RM, Wedlund PJ, Orrego ML, Diaz FJ. A study of genetic (CYP2D6 and ABCB1) and environmental (drug inhibitors and inducers) variables that may influence plasma risperidone levels. Pharmacopsychiatry. 2007;40:93–102. doi: 10.1055/s-2007-973836. [DOI] [PubMed] [Google Scholar]
  9. de Leon J, Spina E, Diaz FJ. Clobazam therapeutic drug monitoring: a comprehensive review of the literature with proposals to improve future studies. Ther Drug Monit. 2013;35:30–47. doi: 10.1097/FTD.0b013e31827ada88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Spina E, de Leon J. Clinical applications of CYP genotyping in psychiatry. J Neural Transm. 2015;122:5–28. doi: 10.1007/s00702-014-1300-5. [DOI] [PubMed] [Google Scholar]

Articles from British Journal of Clinical Pharmacology are provided here courtesy of British Pharmacological Society

RESOURCES