Evidence for solanidine as a dietary CYP2D6 biomarker: Significant correlation with risperidone metabolism
Wollmann, Birgit Malene Tovik; Smith, Robert Løvsletten; Kringen, Marianne K.; Ingelman-Sundberg, Magnus; Molden, Espen; Størset, Elisabet
Peer reviewed, Journal article
Published version
Date
2023Metadata
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Abstract
Aims: The extensive variability in cytochrome P450 2D6 (CYP2D6) metabolism is
mainly caused by genetic polymorphisms. However, there is large, unexplained
variability in CYP2D6 metabolism within CYP2D6 genotype subgroups. Solanidine, a
dietary compound found in potatoes, is a promising phenotype biomarker predicting
individual CYP2D6 metabolism. The aim of this study was to investigate the
correlation between solanidine metabolism and the CYP2D6-mediated metabolism
of risperidone in patients with known CYP2D6 genotypes.
Methods: The study included therapeutic drug monitoring (TDM) data from
CYP2D6-genotyped patients treated with risperidone. Risperidone and
9-hydroxyrisperidone levels were determined during TDM, and reprocessing of the
respective TDM full-scan high-resolution mass spectrometry files was applied for
semi-quantitative measurements of solanidine and five metabolites (M402, M414,
M416, M440 and M444). Spearman's tests determined the correlations between
solanidine metabolic ratios (MRs) and the 9-hydroxyrisperidone-to-risperidone ratio.
Results: A total of 229 patients were included. Highly significant, positive correla-
tionswere observed between all solanidine MRs and the 9-hydroxyrisperidone-to-
risperidone ratio (ρ > 0.6, P < .0001). The strongest correlation was observed for the
M444-to-solanidine MR in patients with functional CYP2D6 metabolism,
i.e., genotype activity scores of 1 and 1.5 (ρ 0.72–0.77, P < .0001).
Conclusion: The present study shows strong, positive correlations between solanidine
metabolism and CYP2D6-mediated risperidone metabolism. The strong correlation
within patients carrying CYP2D6 genotypes encoding functional CYP2D6 metabolism
suggests that solanidine metabolism may predict individual CYP2D6 metabolism, and
hence potentially improve personalized dosing of drugs metabolized by CYP2D6.