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Endogenous Bile Acid Metabolites as Biomarkers for CYP3ATOMMY B. ANDERSSON, ASTRAZENECA,
CARDIOVASCULAR AND METABOLIC DISEASES
Endogenous Bile Acid Metabolites as Biomarkers for CYP3A
Tommy B. Andersson, AstraZeneca, Cardiovascular and Metabolic Diseases
14th European ISSX Meeting, 26 - 29 June 2017, Cologne,
3iMED CVMD | DMPK
Biomarker 4 b OH
cholesterol/c
holesterol
(1)
6b OH
cortisol/cor
tisol
(2)
1b-
hydroxyde
oxycholic
acid
6b OH cort
Isol
(3)
N-methyl
nicotinamide
(4)
Thiamine
(5)
Tryptophan
(6)
Serum
bilirubin
(unconjuga
ted)
(7,8)
Conjugated
or direct
Bilirubin
(9)
Creatinine
(10, 11)
Uric
Acid
(12)
Target CYP3A CYP3A CYP3A OAT3
MATE1
MATE-2k
OCT2
MATE1
MATE-2K
OCT2
MATE
OCT2 OATP1B1 MRP2,
MRP3
UGT1A1
OCT2 BCRP
(URAT
1URA
T1v)
In vitro
validation
and
specificty
Specificty
needs ti be
valdiated
Specificty
needs to be
validated
Specificty
needs to be
validated
Specificity
needs to be
validated
Validated in
vivo
Indu/Inhib?
induction No
(probenencid
inhibition)
(probenecid
inhibition)
Pyrimetham
ine
inhibition
No Yes
Rif induction
UGT and
transporter
Physiological
impact
Cholesterol
lowering
drugs
Circadian
rythms
Further
validation
needed
Further
valdiation
needed
Further
valdiation
neded
Further
valdiation
neded
Further
valdiation
neded
Yes, Gilbert
syndrome
Yes Gilbert
Syndrome
Liver tox
GFR
Correlation
with other
metrics
(several
including
midazolam)
(several
including
midazolam)
No No No No No Not No No
PGx impact (CYP3A5) ? ? No No No Yes Yes Yes No
Sample Plasma Urine Urine Plasma Plasma and
urine
Plasma and
urine
Urine Plasma Plasma Plasma
Comments Stable levels
over time.
Low
sensitivity for
inhib
Confounded
by renal
clearance
and further
metabolism
Sensitive
and rapid
response.
Potential for
CYP3A
inhibition
Only one
publication
Only one
publication
Only one
publiaction
Only one
publication
Difficult to
separate
between
enzyme/trp
interaction/liv
er tox
On top of
GFR
Examples of ADME biomarkers
Requirements for ADME protein biomarkers
4 iMED CVMD | DMPK
•Endogenous metabolite or substrate for one specific transporter or drug metabolizing
enzymes
•Well understood in vitro specificity of the biomarker
•Validated analytical method
•Changes in metric in vivo when subjects are treated with inducers/inhibitors of the
enzyme/transporter
•Metric reflects known genetic polymorphisms of the specific transporter/DME
•Metrics does not depend on other factors not related to enzyme/transporter activity (e.g.
urine pH, urinary flow, renal function, etc)
•Reproducibility (low coefficent of variation of repeated sampling)
•Correlation of biomarker with other validated metrics
How can a biomarker be found
14th European ISSX Meeting
• Systematic analysis using -omic technologies or by
serendipity?
The case of 4ß-Hydroxycholesterol as an endogenous blood
biomarker for CYP3A
How 4ß-Hydroxycholesterol was found
Generating the Hypothesis
The story of how the original hypothesis was generated
•Karolinska University Hospital has a long standing interest in sterol metabolism (within clinical chemistry)
•Studies were being conducted to investigate sterol metabolism in human volunteers
•In one study an outlier was observed in 4ß-hydroxycholesterol concentrations (out of 4 subjects in total)
•The outlier was identified as someone working closely with the principal investigator (PI)
•The PI recognised that this person was on anti-epileptic therapy
•The idea that the outlier concentrations was generated by CYP3A induction was a logical explanation as the anti-epileptic therapy was a well known inducer
6 iMED CVMD | DMPK
4b hydroxy cholesterol is a CYP3A specific
metabolite that shows a remarkable stable plasma
profile over time
DayWeek
Month
Diczfalusy et al (2008) British J Clin Pharmacol (67) 38-43
730 March 2012
4b hydroxycholesterol is a sensitve biomarker for
CYP3A induction
A dose response study
Kanebratt et al. CPT 84, 589 (2008)8 30 March 2012
0
50
100
150
200
Before RIF After RIF
34
81
p<0.001
(p<0.01)
0
50
100
150
200
Before RIF After RIF
3146
0
50
100
150
200
Before RIF After RIF
37
141
p<0.001
(p<0.01)
p<0.01
(p<0.01)
0
50
100
150
200
Before RIF After RIF
34
81
p<0.001
(p<0.01)
0
50
100
150
200
Before RIF After RIF
3434
8181
p<0.001
(p<0.01)
0
50
100
150
200
Before RIF After RIF
31314646
0
50
100
150
200
Before RIF After RIF
37
141
p<0.001
(p<0.01)
0
50
100
150
200
Before RIF After RIF
3737
141141
p<0.001
(p<0.01)
p<0.01
(p<0.01)
0.1
1.0
10.0
100.0
Before RIF After RIF
7.46
1.93
0.1
1.0
10.0
100.0
Before RIF After RIF
10.7
3.87
0.1
1.0
10.0
100.0
Before RIF After RIF
8.945.81
p<0.001
(p<0.05)
p<0.001
(p<0.01)
p<0.01
(p<0.05)
0.1
1.0
10.0
100.0
Before RIF After RIF
7.467.46
1.931.93
0.1
1.0
10.0
100.0
Before RIF After RIF
10.710.7
3.873.87
0.1
1.0
10.0
100.0
Before RIF After RIF
8.948.945.815.81
p<0.001
(p<0.05)
p<0.001
(p<0.01)
p<0.01
(p<0.05)
500 mg
RIF
Quinine/
3’-hydroxy-
quinine
Effect of
induction:
100 mg
RIF
20 mg
RIF
CYP3A4 activity
4β-hydroxy-
cholesterol
Effect of
induction:
CYP3A4 activity
0
50
100
150
200
Before RIF After RIF
34
81
p<0.001
(p<0.01)
0
50
100
150
200
Before RIF After RIF
3146
0
50
100
150
200
Before RIF After RIF
37
141
p<0.001
(p<0.01)
p<0.01
(p<0.01)
0
50
100
150
200
Before RIF After RIF
34
81
p<0.001
(p<0.01)
0
50
100
150
200
Before RIF After RIF
3434
8181
p<0.001
(p<0.01)
0
50
100
150
200
Before RIF After RIF
31314646
0
50
100
150
200
Before RIF After RIF
37
141
p<0.001
(p<0.01)
0
50
100
150
200
Before RIF After RIF
3737
141141
p<0.001
(p<0.01)
p<0.01
(p<0.01)
0.1
1.0
10.0
100.0
Before RIF After RIF
7.46
1.93
0.1
1.0
10.0
100.0
Before RIF After RIF
10.7
3.87
0.1
1.0
10.0
100.0
Before RIF After RIF
8.945.81
p<0.001
(p<0.05)
p<0.001
(p<0.01)
p<0.01
(p<0.05)
0.1
1.0
10.0
100.0
Before RIF After RIF
7.467.46
1.931.93
0.1
1.0
10.0
100.0
Before RIF After RIF
10.710.7
3.873.87
0.1
1.0
10.0
100.0
Before RIF After RIF
8.948.945.815.81
p<0.001
(p<0.05)
p<0.001
(p<0.01)
p<0.01
(p<0.05)
500 mg
RIF
Quinine/
3’-hydroxy-
quinine
Effect of
induction:
100 mg
RIF
20 mg
RIF
20 mg
RIF
CYP3A4 activity
4β-hydroxy-
cholesterol
Effect of
induction:
CYP3A4 activity
Rifampicin dose response induction study in vivo
4b hydroxycholesterol comparison with quinine in the same subjects
0
2
4
6
8
0 2 4 6 8
Quinine MRbefore
Quinine MRafter
4β-h
ydro
xychole
ste
rol a
fte
r
4β-h
ydro
xychole
ste
rol b
efo
re y = x
0
2
4
6
8
0 2 4 6 8
Quinine MRbefore
Quinine MRafter
4β-h
ydro
xychole
ste
rol a
fte
r
4β-h
ydro
xychole
ste
rol b
efo
re
0
2
4
6
8
0 2 4 6 8
Quinine MRbefore
Quinine MRafter
4β-h
ydro
xychole
ste
rol a
fte
r
4β-h
ydro
xychole
ste
rol b
efo
re
Quinine MRbefore
Quinine MRafter
Quinine MRbefore
Quinine MRafter
4β-h
ydro
xychole
ste
rol a
fte
r
4β-h
ydro
xychole
ste
rol b
efo
re y = x
Spearman rank rs=0.71
95% C.I.=0.52-0.90
p<0.001; n=22.
Kanebratt et al. CPT 84, 589 (2008)
Fold inductions are almost identical
Rif dose Quinine 4b OHC
20 mg 1.5 1.5
100 mg 2.7 2.4
500 mg 3.8 4.0
A good
correlation
between the
two probes
Midazolam AUC
Plasma
4b hydroxycholesterol/
cholesterol ratio
Urine, 14 h collection
6b OH Cortisol/Cortisol
ratio
Comparison of induction response by rifampcine
Björkhem-Bergman et al. DMD 2013
Comparison of Induction and inhibition of 4β OH cholesterol
levels after rifampicin and ketoconazole treatment
11
• 4βHC levels significantly increased by Day 4 after rifampin induction
• Modest decrease in 4βHC levels after ketoconazole inhibition that plateau by Day 3
• No effect of placebo on 4βHC levels
Kasichayanula BJCP, 2014
= Beginning or End of probe drug/placebo administration
Inhibition signal
using 4βHC is
narrow
compared with
induction
4b hydroxycholesterol as a CYP3A biomarker
• Specifically formed by CYP3A
• Stable biomarker over time (long half life)
• Takes long time to reach steady state
• Blood sampling is needed
• Useful for CYP 3A induction but less useful for CYP inhibition
Slow response due to long half life – need long treatment periods
The dynamic range for detecting inhibition is limited
iMED CVMD | DMPK
An old finding caught our interest when we discussed a good new
endogenous in vivo biomarker for CYP3A inhibition
iMED CVMD | DMPK
Bodin et al, 2005
The hydroxylation was found to be catalyzed by CYP3A4
Elevated levels of 1b-Hydroxydeoxycholic acid in urine samples from
carbamacepine, a CYP3A inducer, treated subjects
Studies needed to investigate the option to use 1b-hydroxydeoxycholic
acid as an endogenous biomaker
1. Reference substances for quantitative analysis
2. Specific analytical method to separate and quantify compounds
3. Determine the CYP specific biotransformation of deoxycholic acid by CYP
enzymes
4. Hydrolyse conjugated analytes in urine
5. Determine the variability of urine excretion of 1b-Hydroxydeoxycholic acid
6. Determine the dynamic range of urine excretion of 1b-Hydroxydeoxycholic
acid in subjects exposed to CYP3A inducers and inhibitors
7. Compare the biomarker with accepted probes (midazolam kinetics)
Enzymatic synthesis of 1b-OH deoxycholic acid synthesis by a
bacterial CYP mutant
OOH
CH3
CH3
OH
OH
CH3
H
H
H
H H
OOH
CH3
CH3
OH
OH
CH3
H
H
H
H H
OH
Codexis MCYP0029
GDH, NADP+
Codexis MCYP0029
GDH, NADP+
OOH
CH3
CH3
OH
CH3
H
H
H
H H
D D
D
D
OH
OOH
CH3
CH3
OH
CH3
H
H
H
H H
D D
D
D
OH
OH
AZ13837350-001 unlabeled
10.5mg
AZ13837350-002 7.23mg D4 labeled
AZ13837350-003 13.46mg99 atom % D, CDN isotopes
1b-OH Deoxycholic acids fully characterised by 1H, 13C, COSY, ROESY NMR
Unlabeled
Deuterium
labels
Reference
substances were
purified by mass-
directed preparative
HPLC
Hayes et al. Drug Metab Dispos, 44:1480–1489, 2016
Analysis of reference metabolites
Hayes et al. Drug Metab Dispos, 44:1480–1489, 2016
1b-Hydroxylation of deoxycholic acid
Is it specifically catalyzed by CYP3A?
18iMED CVMD | DMPK
OH
O
CH3
OH
OH
CH3
CH3
OH
OH
O
CH3
OH
OH
CH3
CH3
DCA 1β-OH-DCA
CYP3A?
0
100
200
300
400
500
600
700
CYP
1A
1
CYP
1A
2
CYP
1B
1
CYP
2A
6
CYP
2A
13
CYP
2B
6
CYP
2C
8
CYP
2C
9
CYP
2C
18
CYP
2C
19
CYP
2D
6
CYP
2E1
CYP
2J2
CYP
3A
4
CYP
3A
5
CYP
3A
7
CYP
4A
11
CYP
4F2
CYP
4F3
CYP
17
A1
CYP
46
A1
HLM
% 1β
-OH
-DC
A F
orm
atio
n(N
orm
aliz
ed
to
HLM
)
19
Identify CYP enzymes catalyzing 1β-hydroxylation of deoxycholic acid
DCA=2 µM
rCYP=100 pmol/mL protein
HLM=0,5mg/mL protein
1 mM NADPH
60 min
CYP3A4, 3A5, 3A7 were identified as the enzymes that catalyzing DCA 1b-hydroxylation.
CYP3A7 is mainlyhuman fetal liver.
CYP46A1 also catalyzes the formation of 1β-OH-DCA, and it mostly expresses in brain.
Hayes et al. Drug Metab Dispos, 44:1480–1489, 2016
20
Inhibition of 1β-hydroxylation of deoxycholic acid by ketoconazole
0
20
40
60
80
100
Control Ketoconazole 0.1 µM
Ketoconazole 1 µM
Ketoconazole 10 µM
No NADPH
% 1β
-OH
-DC
A F
orm
atio
nvs
Co
ntr
ol
HLM
HLM=0,5mg/mL protein, 60 min. DCA=2 µM.
Hayes et al. Drug Metab Dispos, 44:1480–1489, 2016
21
Deoxycholic acid and 1β OH deoxycholic acid is partially excreted in urine
as conjugates
SulfationAmidation Glucuronidation
Phase II metabolites
Glycine conjugate Taurine conjugate
DCA 1β-OH-DCA Iso OH-DCA
(including CA)
Dehydro-DCA
OH
O
CH3
OH
OH
CH3
CH3
OH
OH
O
CH3
OH
OH
CH3
CH3
Phase I metabolites
OH
O
CH3
OH
O
CH3
CH3
OH
O
CH3
OH
OH
CH3
CH3
OH
O
CH3CH3
NH
O
OH
O
CH3CH3
NH
S
O
O
OH
OS
O
OOH
O
O
OH
OH
OH
OH O
O
CH3CH3
O
O
OH OH
OH
OH
O
Hayes et al. Drug Metab Dispos, 44:1480–1489, 2016
22
Urine sample preparation to hydrolyse the conjugates
5 µL of β-glucuronidase/arylsulfatase
5 µLof choloylglycine hydrolase (2 U/µL)
Urine 200 µL
37°C
Over night
LC/HRMS
0.1 M NaHPO4 (pH 5)
Quench by AcN
(containing IS)
LC/HRMS
Oasis MAX 96-well µElution Plate
Solvolysis
37°C
1 hr
NaOH (4 M)
i-propanol
SPE
N2
SPE
N2
Solvolysis
HCL (1 M)
Acetone
70°C
Over night
N2
FA to neutralize
Enzymetic deconjugation
(Bodin K, et al, 2005)
Hayes et al. Drug Metab Dispos, 44:1480–1489, 2016
23
Urine analysis from healthy subjects and a carbamazepine treated patient
Sample Prep.: Urine samples undergo enzymetic deconjugation and chemical solvolysis.
2.00 3.00 4.00 5.000
2.00e5Standard
XIC: -m/z 407.280
x4
1b-OH-DCA
2.00 3.00 4.00 5.000
2.00e5Control Urine
1b-OH-DCA
Time (min)
2.00 3.00 4.00 5.00
Patient urine
0
2.00e5
Inte
nsity
1b-OH-DCA
2.00 3.00 4.00 5.00
%
0
6.00e4
XIC: -m/z 391.285
Standard
x4
DCA
2.00 3.00 4.00 5.000
6.00e4Control Urine
DCA
Time (min)2.00 3.00 4.00 5.00
%
0
6.00e4Patient urine
DCA
A B
Hayes et al. Drug Metab Dispos, 44:1480–1489, 2016
Comparison of enzymatic hydrolysis and hydrolysis followed by
solvolysis of urine samples
Hayes et al. Drug Metab Dispos, 44:1480–1489, 2016
25
Comparisons between 24 h urine collections and spot samples
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1 2 3 4 5 6 7 8 9 10 11 13
1b
-OH
-DC
A /
DC
A
Subject no.
24 h
spot
Day 1 Day 2 Day 30
1b-OH-DCA / DCA ratios for spot samples and 24 h
samples
20 juni 2017Namn Efternamn26
y = 1.0112x + 0.0136R² = 0.8183
0
0.2
0.4
0.6
0.8
1
1.2
1.4
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Rati
o f
or
sp
ot
sam
ple
Ratio for 24 h sample
Urine levels of 1b-OH deoxycholic acid biomarker affected by moderate and strong CYP3A inhibitors (preliminary data)
14th European ISSX Meeting
Itraconazole (strong inhibitor) inhibits formation of a 1b-OH deoxycholic acid
in all 13 subjects analysed. Verapamil (moderate inhibitor) gave a weaker
inhibition in 10 of 13 subjects.
Possible interaction with kidney transporters
14th European ISSX Meeting
Deoxycholic acid
Glycin
Taurine
Sulfate
Glucuronide
1β OH deoxycholic acid
Glycin
Taurine
Sulfate
Glucuronide
Will Interactions with
kidney transporters
impact the urine
secretion?
Clinical pharmacology & Therapeutics | VOLUME 92 NUMBER 5 | NOVEMBER 2012 553
Zamek-Gliszczynski et al.
Further validation of 1b deoxycholic acid as a CYP3A
biomarker
Correlation with other accepted metrics, e.g. midazolam kinetics. Direct
comparison of CYP3A activity in the same subjects
Effect of other factors not related to enzyme activity (e.g. urine pH, urinary flow,
renal function)
Effect by transporter activity
Acknowledgements
Karolinska Institutet
• Ulf Diczfalusy
• Leif Bertilsson
AstraZeneca
• Martin Hayes
• Xueqing Li
• Eric Mason
• Ulf Eriksson
• Phil Gardner
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