cytochrome p450 enzymes and their potential role in
TRANSCRIPT
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Cytochrome P450 enzymes and their potential role in antidepressant
treatment response
Karen Hodgson
Hodgson et al. (2014) Genetic differences in cytochrome P450
enzymes and antidepressant treatment response. J Psychopharm.
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Cytochrome P450 enzymes
• Key role in the metabolism of antidepressants.
• Common genetic variation in some of these enzymes
ESCITALOPRAM
DESMETHYLCITALOPRAM
Demethylation
25-50% as active as drug
CYP3A4, CYP2C19 and CYP2D6
SSRI
NORTRIPTYLINE
0H-NORTRIPTYLINE
Hydroxylation
10% as active as drug
CYP2D6
Tricyclic antidepressant
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Genetic variability in CYP450 enzymes
• CYP2C19 and CYP2D6 are highly polymorphic;
– many forms of genetic variation from non functional genes to duplications of genes.
• Genetic differences associated with differences in enzyme activity
Genetic variation Classification
At least 3 copies of “normal” allele Ultra metaboliser UM
At least 1 “normal” allele Extensive metaboliser EM
1 non-functional, 1 decreased /
2 decreased function alleles Intermediate metaboliser IM
2 non-functional alleles Poor metaboliser PM Incre
asin
g a
cti
vit
y
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CYP450 genotypes and antidepressant response
• Variability between patients in treatment response
– Trivedi et al. 2006 estimate 30% achieve remission with first treatment
• Do differences in rates of drug metabolism predict the variability seen in antidepressant treatment response?
CYP450 genotype
Serum level of antidepressant
Treatment response
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GENDEP Project
• Large European multicentre pharmacogenetic study
• Moderate/severely depressed patients
• Partially randomised to one of two antidepressants
– Escitalopram (SSRI) or Nortriptyline (tricyclic)
• Followed for 12 weeks of treatment
– Weekly measurements on depression symptoms
– MADRS (Montgomery-Åsberg Depression Rating Scale) was the primary outcome measure used
• Detailed clinical and genetic information available
See Uher et al. 2009, Pharmacogenomics Journal for further study details
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Whole GENDEP cohort (n=868)
Escitalopram N=498
Nortriptyline N=368
Serum measurements at week 8
N=191
77 drop out of study before week 8
79 drop out of study before week 8
Genotyped for CYP2C19
N=443
Genotyped for CYP2D6 N=334
Serum measurements at week 8
N=266
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Methods • Genotyping
– Roche AmpliChip CYP450 Test – Common polymorphisms in CYP2C19 & CYP2D6
• Serum concentrations of antidepressant – Samples taken at week 8 of treatment – Drug and primary metabolite measured:
• Escitalopram and desmethylcitalopram • Nortriptyline and total 10-hydroxynortriptyline
– Measured using achiral turbulent flow liquid chromatography
• Treatment response – Weekly MADRS scores (repeated measures used)
Roche Molecular Diagnostics, CA, USA
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• Protocol-driven flexible dosage
– Escitalopram 10-30mg/day, Nortriptyline 50-150mg/day
• Highly significant association between dose and serum concentration of drug and metabolite
• No association between dose and CYP450 genotype
Dosage and serum levels
0
20
40
60
80
100
PM IM IM+ EM EM+ UM0
20
40
60
80
100
PM IM EM UM
Genotypic Frequencies CYP2C19 (escitalopram) CYP2D6 (nortriptyline)
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Analysis
• Separate metabolic pathways: drug-specific analyses • Linear mixed effects models
– Repeated measures of treatment response – Covariates; age, sex, dose, cytochrome P450-inhibiting
comedications, centre of recruitment. – Plus baseline depression severity and effects of time when
considering treatment response
CYP450 genotype
Serum level of drug and
metabolite
Treatment response
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Is CYP450 genotype associated with serum concentration?
CYP450 genotype
Serum level of escitalopram
Treatment response
020
40
60
80
100
Esc
ital
opra
m l
evel
s (µ
g/L
)
PM IM IM+ EM EM+ UM
Drug(p<0 .0001)
510
15
20
25
30
Des
met
hyle
scit
alo
pra
m l
evel
s (µ
g/L
)
PM IM IM+ EM EM+ UM
Metabolite(NS p=0.065)
0.5
11.5
Des
met
hyle
scit
alo
pra
m:
esci
talo
pra
m r
atio
PM IM IM+ EM EM+ UM
Metabolite:drug ratio(p<0.0001)
CYP2C19 genotype category
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CYP450 genotype
Serum level of nortriptyline
Treatment response
0
10
020
030
0
Nort
ripty
line
level
s (µ
g/L
)
PM IM EM UM
Drug(p<0.0001)
050
10
015
020
025
0
To
tal
10-H
yd
rox
yn
ort
ripty
lin
e le
vel
s (µ
g/L
)
PM IM EM UM
Metabolite(p=0.0026)
01
23
4
To
tal
10-H
yd
rox
yn
ort
ripty
lin
e: n
ort
ripty
line
rati
o
PM IM EM UM
Metabolite:drug ratio(p<0.0001)
CYP2D6 genotype category
Is CYP450 genotype associated with serum concentration?
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Is CYP450 genotype associated with treatment response?
CYP450 genotype
Serum level of nortriptyline
Treatment response
CYP450 genotype
Serum level of escitalopram
Treatment response
Escitalopram; n=443, ß =0.165, SE= 0.233, p=0.478
Nortriptyline; n=334, ß =0.127, SE=0.524, p=0.807
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Is serum level of drug associated with treatment response?
CYP450 genotype
Serum level of nortriptyline
Treatment response
CYP450 genotype
Serum level of escitalopram
Treatment response
Escitalopram; n=235, ß =0.345, SE= 0.385, p=0.370
Nortriptyline; n=169, ß =-0.073, SE=0.466, p=0.876
Also, no significant association for metabolite/metabolite:drug ratios
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Serum level of drug and response; not covarying for dose
CYP450 genotype
Serum level of nortriptyline
Treatment response
CYP450 genotype
Serum level of escitalopram
Treatment response
Escitalopram; n=266, ß=0.870, SE=0.345, p=0.012
OH-Nortriptyline; n=188, ß=1.403, SE=0.446, p=0.002
No significant association for other measures of serum concentration
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Conclusions
• Variability in treatment response unrelated to either CYP450 genotype or serum levels of drug
• In terms of implications for genetic testing to guide treatment, our results suggest CYP450 genotype doesn’t add information beyond clinical observation
CYP450 genotype
Serum level of drug and
metabolite
Treatment response
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Acknowledgements
Peter McGuffin Katherine Tansey
Everyone else involved in GENDEP R.Uher, M.Z.Dernovsek, O.Mors, J.Hauser, D.Souery, W.Maier,
N.Henigsberg, M.Rietschel, A.Placentino, K.J.Aitchison, A.E.Farmer
Hodgson et al. (2014) Genetic differences in cytochrome P450 enzymes
and antidepressant treatment response. J Psychopharm.
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Disclosures
I have no conflicts of interest
The GENDEP project was funded by the European Commission Framework 6 Grant,
EC Contract Ref.: LSHB-CT-2003–503428.