steven m. weldon, matthew a. cerny, kristina gueneva-boucheva,...
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Selectivity of BI 689648 - A Novel, Highly Selective Aldosterone Synthase
Inhibitor: Comparison to FAD286 and LCI699 in Non-Human Primates
Steven M. Weldon, Matthew A. Cerny, Kristina Gueneva-Boucheva, Derek Cogan, Xin
Guo, Neil Moss, Jean-Hugues Parmentier, Jeremy Richman, Glenn A. Reinhart, and
Nicholas F. Brown
CardioMetabolic Diseases Research (S.M.W., J-H. P., J.R.R., G.A.R., N.F.B.) and
Medicinal Chemistry (M.A.C., K.G.B., D.C., X.G., N.M.) Boehringer Ingelheim
Pharmaceuticals Inc, Ridgefield, CT, 06812
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Running Title:
Selectivity of BI 689648, FAD286 and LCI699 in NHPs
Corresponding Author:
Steven M. Weldon
Cardiometabolic Disease Research
Boehringer Ingelheim Pharmaceuticals Inc
175 Briar Ridge Road
Ridgefield, CT 06877
Office: 203-798-4606; Mobile: 203-512-6228; Fax: 203-837-4606
Number of text pages: 28
Number of Tables: 1
Number of figures: 6
Number of references: 40
Number of words in abstract: 247
Number of words in introduction: 709
Number of words in Discussion: 1499
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Non-standard abbreviations:
11-DC, 11-deoxycortisol
11-DOC, 11-deoxycorticosterone
18-OHB, 18-hydroxycorticosterone
ACEI, angiotensin converting enzyme inhibitor
ACTH, adrenocorticotropic hormone
Aldo, aldosterone
ARB, angiotensin receptor blocker
AS, aldosterone synthase
ASI, AS inhibitor
CAM, cynomolgus adrenal mitochondria
Cmax, maximal compound concentration
CMD, cardiometabolic disease
Cort, cortisol
CS, cortisol synthase
Cyno, cynomolgus monkey
DKD, diabetic kidney disease
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DN, diabetic nephropathy
EC10, Effective Concentration for 10% inhibition
EC50, Effective Concentration for 50% inhibition
EC75, Effective Concentration for 75% inhibition
EC90, Effective Concentration for 90% inhibition
LCI, LCI699
MRA, mineralocorticoid receptor antagonist
PD, pharmacodynamic
PK, pharmacokinetic
R-FAD, R-fadrazole; FAD286
RAAS, renin angiotensin aldosterone system
S-FAD, S-fadrazole
SoC, standard of care
Tmax, time of maximal compound concentration
Recommended section assignment: Drug discovery and translational medicine
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Abstract
The mineralocorticoid aldosterone is an important regulator of blood pressure, volume
and electrolyte balance. However, excess aldosterone can be deleterious as a driver of
vascular remodeling and tissue fibrosis associated with cardiometabolic diseases.
Aldosterone synthase (AS) inhibitors (ASI) attenuate the production of aldosterone
directly and have been proposed as an alternative to mineralocorticoid receptor (MR)
antagonists (MRA) for blocking the pathological effects of excess aldosterone.
Discovery of selective ASIs has been challenging because of the high sequence identity
(93%) AS shares with cortisol synthase (CS), and the low identity of rodent AS
compared to human (63%). Using cynomolgus (cyno) monkey-based models we
identified BI 689648, a novel, highly selective ASI that exhibits an in vitro IC50 of 2 nM
against AS and 300 nm against CS (150-fold selectivity) compared with the recently
described ASIs FAD286 (3 nM AS; 90 nM CS; 40-fold) and LCI699 (10 nM AS; 80 nM
CS; 8-fold). Following oral administration in cynos, BI 689648 (5 mg/kg) exhibits a peak
plasma concentration of ~ 500 nM. For in vivo profiling we used an ACTH-challenge
model in which BI 689648 was >20-fold more selective compared with FAD286 and
LCI699. Since both FAD286 and LCI699 failed to provide adequate selectivity for CS
when tested in patients, the desire for more selective molecules to test the ASI
hypothesis remains high. Therefore, highly selective aldosterone synthase inhibitors
such as BI 689648 represent an important step forward towards developing ASIs with
greater potential for clinical success in cardiometabolic diseases.
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INTRODUCTION The mineralocorticoid aldosterone is a principal modulator of electrolyte and water
balance, required to maintain vascular pressure and tissue perfusion. Under normal
conditions aldosterone concentrations are highly regulated, primarily by the renin-
angiotensin aldosterone system (RAAS), plasma potassium concentration and
adrenocorticotropic hormone (ACTH) (Hattangady et al., 2012). Aldosterone generates
its effects through both mineralocorticoid (MR)-mediated and non-MR mediated
pathways (Nguyen Dinh Cat and Jaisser, 2012; Brown, 2013). Increased levels of
aldosterone are associated with cardiovascular and chronic kidney diseases (Gilbert
and Brown, 2010; Siragy and Carey, 2010; Brown, 2013; Namsolleck and Unger, 2014).
In the kidney, excess plasma aldosterone can contribute to damage as a driver of
vascular remodeling, glomerulosclerosis and tubulointerstitial fibrosis, all of which lead
to declining renal function, increased risk of cardiovascular complications, end stage
renal disease and death (Hostetter and Ibrahim, 2003; Briet and Schiffrin, 2010; Gilbert
and Brown, 2010; Siragy and Carey, 2010; Namsolleck and Unger, 2014).
MR-antagonists (MRA) (Pitt et al., 2001; Epstein et al., 2006; Young, 2013; Liu et al.,
2015), ACE inhibitors (ACEI) and angiotensin receptor blockers (ARB) (Unger, 2002)
are current clinical therapies used to antagonize deleterious effects the RAAS in
patients. However, direct aldosterone blockade via MRAs can disrupt critical electrolyte
balance leading to hyperkalemia (Roscioni et al., 2012; Shavit et al., 2012). Also, MRAs
increase plasma aldosterone that may generate harmful effects via non-MR mediated
pathways (Vinson and Coghlan, 2010; Brown, 2013). By comparison, lowering levels of
aldosterone indirectly with angiotensin antagonists often results in only temporary
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aldosterone reduction due to “aldosterone breakthrough”, observed in ~ 30-40% of
patients using ACEIs or ARBs (Bomback and Klemmer, 2007).
An alternative approach to antagonizing the effects of excess aldosterone in patients
is to directly attenuate its production via selective inhibition of aldosterone synthase
(AS). Clinically, an AS inhibitor (ASI) would be expected to attenuate the pathological
effects of aldosterone mediated through both MR- or non-MR pathways, thereby
providing potentially greater disease modifying benefit compared to MRAs. In addition,
an ASI with an ideal pharmacodynamic profile would reduce excess aldosterone while
allowing for sufficient signalling via MR to maintain electrolyte balance and minimize the
risk of hyperkalemia. Finally, a highly selective ASI should have little to no impact on
cortisol synthase (CS), an enzyme closely related to AS and responsible for generating
cortisol, required for maintaining critical metabolic and immune responses. FAD286
(the R-enantiomer of fadrozole) (Santen et al., 1991; Menard and Pascoe, 2006) and
LCI699 (Amar et al., 2010; Calhoun et al., 2011) are examples of ASIs that have been
evaluated in preclinical models (Fiebeler et al., 2005; Menard et al., 2014) as well as in
patients (Santen et al., 1991; Menard and Pascoe, 2006; Amar et al., 2010; Calhoun et
al., 2011). However, these molecules exhibit only modest selectivity for inhibition of
human AS over CS, and resulted in blunted cortisol responses when evaluated in
patients (Santen et al., 1991; Amar et al., 2010), a likely reason for their clinical failure
as selective AS inhibitors. As such, novel, more selective ASIs are required to define
the ideal level of AS inhibition and selectivity needed to achieve clinical safety and
efficacy.
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Aldosterone synthase is a mitochondrial cytochrome P450 enzyme (CYP11B2) that
catalyzes the final three steps in aldosterone synthesis from 11-deoxycorticosterone
(11-DOC) to aldosterone (Payne and Hales, 2004). Discovery of selective ASI
molecules has been challenging due to a number of factors. First, AS shares 93%
amino acid sequence identity with cortisol synthase, CYP11B1 (Cerny, 2013) and as
mentioned above, attenuating CS/cortisol production is undesirable. Second, the utility
of preclinical rodent models is limited due to the low sequence identity between rodent
and human AS (63%) and the catalytic activity of Cyp11B in rodents, that generates
corticosterone rather than cortisol (van Weerden et al., 1992), making in vivo selectivity
assessments in rodents less applicable to the clinical condition.
Given the limitations of MRAs and angiotensin antagonists for antagonizing
aldosterone in patients and the need for more selective ASIs with greater potential to
achieve clinical success, we used cynomolgus (cyno) monkey-based methods to
identify and profile novel ASI molecules. Herein we describe BI 689648, a novel, highly
selective and orally active ASI that represents a significant step forward in the
development of safe and effective aldosterone antagonists for clinical use.
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Materials and Methods
Reagents and Compounds
In vitro assay reagents 11-DOC, corticosterone, 11-DC, cortisol 18-
hydroxycorticosterone, aldosterone, dimethylsulfoxide (DMSO), and nicotinamide
adenenine diphosphate reduced form (NADPH) were purchased from Sigma-Aldrich
(Milwaukee, WI). All tissue collection procedures were performed according to
protocols approved by the Boehringer Ingelheim Institutional Animal Care and Use
Committee. Cynomolgus monkey adrenal glands were obtained from vehicle-treated
control animals from in-house toxicological studies or from Alpha Genesis, Inc.
(Yemassee, SC), Charles River Laboratories (Reno, NV), and BioChemed (Winchester,
VA). Adrenal glands were flash-frozen immediately after surgical removal and shipped
frozen on dry ice. Aldosterone synthase inhibitor molecules: S-FAD and FAD286 (S-
and R-enantiomers of fadrozole, respectively), 4-(5,6,7,8-tetrahydroimidazo[1,5-
a]pyridin-5-yl)benzonitrile)(Browne et al., 1991; Furet et al., 1993); osilodrostat or
LCI699, ((R)-4-(6,7-dihydro-5H-pyrrolo[1,2-c]imidazol-5-yl)-3-
fluorobenzonitrile)(Meredith et al., 2013) and BI 689648 (6-(5-Methoxymethyl-pyridin-3-
yl)-3,4-dihydro-2H-[1,8]naphthyridine-1-carboxylic acid amide)(Balestra et al., 2015),
were synthesized according to published procedures.
In vitro Cyno Adrenal Homogenate (CAH) Assay
Potency against CYP11B1 and CYP11B2 was assessed using the recently described
CAH assay (Cerny et al., 2015). In brief, homogenized adrenal glands were used to
evaluate test compounds in a 96-well plate format. A mixture of concentrated
homogenate and substrate was added to compound dilutions for analysis. Values for
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the concentration required to inhibit CS (CYP11B1) and AS (CYP11B2) enzyme activity
by 50% (IC50) were calculated from the plot of log [inhibitor] versus % inhibition by curve
fitting using GraphPad Prism 6 (La Jolla, CA).
In vivo Profiling in Conscious Cynomolgus Monkeys
Prior to the in vivo pharmacodynamic evaluation, a separate plasma pharmacokinetic
(PK) profile for each ASI was obtained in normal cynos (n=2-3) following oral
administration at 5 mg/kg. A racemic mixture of R- and S-fadrazole was used for
pharmacokinetic profiling and the two enantiomers are assumed to be in equal amounts
in analysis samples.
The in vivo cynomolgus monkey (Macaca fascicularis) experiments were performed in
collaboration with SNBL-USA (Everett, Washington) in compliance with SNBL and BIPI
approved IACUC protocols. All studies were non-terminal. Healthy, male animals of
approximately 4-8 years of age were housed in a temperature-humidity-controlled
environment with a 12-hour diurnal light cycle. Animals were randomized to study
cohorts based on body weights and previous therapeutic treatment. Cynos were
acclimated to their study cohorts and procedural handling during a 7-14 day period prior
to initiation of dosing during which time they were assessed for behavioral abnormalities
(i.e. stress) that could adversely affect aldosterone-cortisol levels and performance
while on study. Animals were group-housed until the day of study at which time they
were transferred to individual procedural cages to facilitate dosing and sample collection.
On each experimental day, conscious unrestrained animals were pre-treated with
dexamethasone (2 mg/kg, I.M., ~ 6 hrs prior to ACTH) to quench baseline aldosterone
and cortisol levels. Initial ACTH-induced steroid response profiling in normal, non-
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compound treated cynos was conducted in a separate study cohort (n=8). Test
compounds were administered intravenously (brachial-cephalic) or via nasogastric (NG)
gavage (“oral”). Temporary, light sedation (ketamine, 5-10 mg/kg, I.M.) was used only
to facilitate the ASI compound doses administered intravenously via slow bolus. ACTH
(CortrosynTM, 1 ug/kg, I.V.) was administered immediately after ASI compounds given
intravenously. For orally applied test compounds in non-sedated animals, ACTH was
administered (I.V.) at the time of maximal (Tmax) plasma compound concentration (Cmax).
The dosing route of administration (I.V. or N.G.) for vehicle control and test compound
groups was the same on any given study day.
For ASI evaluation, the study cohort consisted of 66 healthy animals. Each separate
study day, 12 cynos were randomized to receive various doses of ASI or Vehicle
Control (n=3/group); animals were reused across studies, allowing a minimum of 2
weeks washout between studies. Aggregation of data across multiple studies was used
to derive in vivo Effective Concentration (EC) values for aldosterone and cortisol by
curve-fitting. Conscious, non-chaired monkeys received vehicle (n=35; where n is equal
to the number of treatments), S-FAD (n=9), FAD286 (n=24), LCI699 (n=36) or BI
689648 (n=26) at doses ranging from 0.003-10 mg/kg. Maximal ACTH-induced
aldosterone and cortisol production occurred quickly, within 15 min following challenge,
at which time blood was collected for plasma aldosterone, cortisol and test compound
concentrations. Baseline values shown are comprised of all animals across all study
days (n=94). Steroid levels for individual ASI-treated cynos were expressed relative to
mean values for the vehicle-treated control groups (Percent of Control; POC responses
or Fold-Change vs Control) and plotted versus log[unbound compound]. This allowed
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aggregation of data across studies to derive in vivo EC values for aldosterone and
cortisol by curve-fitting using a 4-parameter logistic fit with the upper and lower
asymptotes fixed at 100% to 0%; Hill Slope= -1.0 GraphPad Prism 6 software (La Jolla,
CA).
LC/MS Determination of Plasma Steroids and Test Compounds
The quantitation of the five steroids, aldosterone, cortisol, corticosterone, 11-DOC and
11-DC in cyno plasma was performed by LC/MS/MS. An API 5000 triple quadruple
mass spectrometer with Turbo V Ion Source (Applied Biosytems, Toronto, Canada), set
to electrospray negative/positive ionization mode, and Analyst 1.4.2 operating software
was used. Source conditions were as follows: source temperature 500°C, electrospray
capillary voltage 5.5 eV, curtain gas GS1 20, and nebulizing, dissolving gas flow rates
30 and 50 arbitrary units respectively.
For the analytes of interest precursor to product ion transitions were established
through direct infusion of the compounds into the mass spectrometer. Quantitation by
multiple reaction monitoring (MRM) analysis was performed both in negative ion mode
for aldosterone and cortisol and in positive ion mode for corticosterone, 11-DOC and
11-DC. The following ion transitions were used for quantification: aldosterone (359.2-
189.0 m/z, CE -25, DP -150V) cortisol (361.0-331.0 m/z, CE -25, DP -170V),
corticosterone (347.1-97.0 m/z, CE 35, DP 60V), 11-DOC (331.2-109.0 m/z, CE 20, DP
55V) and 11-DC (347.2-121.0 m/z, CE 40, DP 100V). The internal standards used were
aldosterone-d7 (366.2- 193.0 m/z, CE -22, DP -120 V) in negative mode and a
proprietary small molecule in positive mode (424.1-270.1 m/z, CE 50, DP 100). Q1 and
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Q3 were set at unit resolution. The polarity was switched from negative to positive at
6.5 min.
The liquid chromatography system was composed of an Agilent 1200 Series pump
and column oven (Fullerton, CA, USA) and LEAP Technologies HTS-PAL Autosampler
(Carrboro, NC, US). The analytical column used was Phenomenex Synergi Polar RP,
2.1 x 150 mm, 5 um (Torrance, CA, US), and the mobile phase consisted of 10mM
ammonium acetate with 0.1% formic acid in water (A) and Acetonitrile (B). Gradient
was maintained at 5% B for 1 minute, increased to 95% B in 6 min, held at this level for
2 min, and then decreased to the initial 5%B within 1min and held for 1 min. The
column temperature was set at 50 °C, and the flow rate at 0.3 ml/min. The total run time
per injection was 10 min.
The same instrumentation was used to analyze BI 689648, FAD286, S-FAD and
LCI699. The LC column used for the quantitation was Phenomenex Synergi Polar RP
2.1x50, 4u at 400C. A mobile phase consisting of 5 mM ammonium acetate with 0.1%
formic acid in water (A) and acetonitrile (B) was used with a gradient elution 5% B for
0.1 min, increased to 95% B in 1.8 min, held at 95% B for 0.5 min and decreased to 5%
B for 0.2 min and held at 5% B for a total time of 3 min at a flow rate of 0.5 ml/min. The
compound transitions were as follows BI 689648 (299.0-256.0 m/z, CE 28, DP 80), FAD
286 (224.2-82.0 m/z, CE 35, DP 90) S-FAD (224.2-82.0 m/z, CE 35, DP 90) and LCI699
(228.0-81.0 m/z, CE 38, DP 80).
Steroid Sample Preparation: A standard stock solution containing 0.2 mg/ml steroid
mix in methanol was serially diluted in 2.5% bovine serum albumin (BSA) in HBSS
buffer to prepare a standard curve ranging from 0.01 to 1000 ng/ml. Plasma (100 µl),
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standards and blanks were mixed with 40 ul of 0.1% formic acid and 60 ul of 500 ng/ml
aldosterone-d7 diluted in acetonitrile:water (1:9v/v). Samples were vortexed and loaded
on to 100 mg ISOLUTE® SLE plates (Biotage, Charlotte, NC) by applying vacuum. The
steroids were eluted from the matrix by solvent mixture of dichloromethane:t-BTE/ 70:30
4x250 uL . The filtrates were evaporated to dryness under nitrogen using SPE Dry 96
(Jones Chromatography, Lakewood, CO) and reconstituted in 100 ul
acetonitrile:water:formic acid (1:1:0.1%). The reconstituted solution (20 ul) was injected
into the LC/MS/MS for analysis.
ASI Sample Preparation: BI 689648, FAD286, S-FAD and LCI699 standard stock
solution containing 1 mg/mL in methanol were serially diluted in cyno plasma to prepare
an 8- point standard curve ranging from 1 to 5000 ng/mL. Plasma samples (20 µl),
calibration standards and blank plasma samples were deproteinized by precipitation
with 180 µl, 250 ng/ml internal standard (proprietary small molecule) diluted in
acetonitrile: water (85:15). Samples were mixed for 1 min, filtered through AcroPrep
multi-well filter plates (Pall Corporation, Ann Arbor, MI) using Sciclone ALH 3000
Workstation (Caliper Life Sciences, Hopkinton, MA, USA) and transferred into 96-well
injection plate. The filtered solutions (5 µl) were injected into the LC/MS/MS system.
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Results:
In Vitro Selectivity of BI 689648, LCI699 and FADs
The chemical structures for BI 689648, LCI699, R-Fadrozole (FAD286) and S-
Fadrozole (S-FAD) are shown in Figure 1. The in vitro IC50 and selectivity factor for BI
689648 and other ASIs are shown in Table 1. Compared to the FADs and LCI699, BI
689648 was highly selective in vitro providing an IC50 for CYP11B2 of 2.1 nM and a
selectivity factor of 149 over CYP11B1. FAD286 by comparison, showed a similar IC50
for CYP11B2 (2.5 nM) however it’s greater potency against CYP11B1 (94 nM) resulted
in a comparatively modest selectivity factor of 38, approximately 4-fold less than BI
689648. LCI699 showed lower CYP11B2 selectivity (~8-fold) while S-FAD provided no
CYP11B2 selectivity, favoring CYP11B1 by ~ 30-fold over CYP11B2.
In vivo Selectivity of BI 689648 Compared to LCI699 and FADs
Pharmacokinetic (PK) profiles: A PK profile for each ASI was established for normal
cynos (n=2-3) prior to in vivo pharmacodynamic evaluation. S-FAD, FAD286 and
LCI699 exhibited similar PK profiles with maximum plasma concentrations (Cmax) of ~
3000 nM observed ~ 1h post-dose. By comparison, BI 689648 shows a Cmax of ~ 500
nM at 0.3 h post-dose (Figure 2). Over the first hour after dosing, all compounds
evaluated showed plasma Cmax values suitable to achieve > 90% inhibition (IC90) of
CYP11B2 as predicted by the in vitro CAH assay.
Baseline ACTH-responses: To evaluate in vivo efficacy of our ASIs we took advantage
of the ACTH stimulation test which is used clinically (Dorin et al., 2003) to evaluate
stimulated steroid production as an indication of adrenal function. ACTH-challenge
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induced a rapid increase in plasma concentrations of both aldosterone and cortisol,
providing a robust dynamic range for evaluating ASI compounds. Maximal ACTH-
induced aldosterone and cortisol production occurred quickly, within 15 min following
challenge (Figure 3A). Acute ACTH-induced aldosterone levels peaked 15-30 min post-
challenge thereafter returning to baseline values within 2 hrs. The peak cortisol level
was observed at 1h, returning gradually to baseline values by 24 hrs post-challenge.
Pre-challenge (baseline) aldosterone and cortisol levels in cynos showed minimal
variability and were similar to unstimulated levels in normal humans (Hardman, 2001).
Baseline values for the study cohort as well as the ACTH-stimulated responses from the
vehicle control group are shown in Figure 3B. Baseline plasma aldosterone was
0.144±0.016 ng/ml and cortisol was 48±2 ng/ml. Following ACTH-challenge (15 min)
both aldosterone and cortisol levels increased ~4-fold over baseline (aldosterone:
0.486±0.058 ng/ml; cortisol: 208±15 ng/ml). Although, peak levels of aldosterone and
cortisol occurred at different times (presumably reflecting the slower clearance of
cortisol), the apparent maximal rate of synthesis of both occurred quickly, within the first
15 minutes. Therefore, we used the 15 minute values to assess the pharmacodynamic
effect of test compounds.
Pharmacodynamic (PD) profiles: The CAH IC50 values generated for aldosterone in
vitro paralleled the PD effect in vivo (cyno EC50) for all compounds except S-FAD, which
showed ~10-fold higher potency in vivo compared to in vitro (Table 1, Figure 4). All
ASIs exhibited lower potency for cortisol inhibition in vivo compared to in vitro. The
selectivity for each ASI is represented by the black arrow at the center of each curve,
highlighting the “X-Fold” changes in EC50 for aldosterone vs. cortisol. Consistent with
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the rank-order efficacy observed from our in vitro data shown in Table 1, we clearly
show the differentiation for in vivo efficacy between a highly selective AS inhibitor such
as BI 689648, that results in >11000-fold selectivity compared to the relatively modest
effects of FAD286 (530-fold) and LCI699 (309-fold) or S-FAD that exhibits only 8-fold
selectivity for aldosterone over cortisol in vivo.
Selectivity of BI 689648, LCI699 and FADs Applying an Extended Therapeutic
Index (EC75 ALDO-EC10 CORT)
Considering a hypothesis that requires a high degree of aldosterone inhibition (~75%)
while maintaining little to no cortisol inhibition (≤10%) in order to achieve clinical
success, we used the curve fitting method described above to generate EC75 ALDO-EC10
CORT selectivity values representing a postulated, “high bar” therapeutic index (TI) for
safe and effective aldosterone inhibition (Figure 5). The EC75-EC10 data demonstrate
that even when using these more stringent criteria to define CYP11B2 selectivity, BI
689648 still exhibits a considerable TI of 400-fold selectivity whereas FAD286 and
LCI699 exhibit TIs of only 28- and 11-fold, respectively. Furthermore, the small window
of selectivity S-FAD exhibited using the EC50 analysis was completely abolished (<1-
fold) using the more stringent selectivity criteria.
Effect of ASIs on Steroid Precursor Substrates In Vivo
To further evaluate the impact of AS inhibition on acute aldosterone-cortisol balance
in vivo, we examined the effects of the ASIs on respective steroid precursor substrates,
11-DOC, corticosterone, 18-OHB and 11-DC, following ACTH challenge. Compared to
baseline levels, ACTH induced increases of ~ 3-fold in the aldosterone precursor 11-
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DOC (0.1 to 0.3 ng/ml); ~ 12-fold in the cortisol precursor 11-DC (0.5 to 6 ng/ml) and ~
4-fold (data not shown) for both corticosterone and 18-OHB. All of the ASI treatments
increased the aldosterone precursor 11-DOC consistent with increasing compound
concentrations and respective EC50 inhibitions of aldosterone (Figure 6). As expected,
compounds that showed greater potency and selectivity for CYP11B2 (BI
689684>FAD286>LCI699>S-FAD) required much higher plasma concentrations to
modulate 11-DOC and also had a reduced effect on the cortisol precursor 11-DC
compared with less selective compounds. The more selective ASIs showed only
minimal changes in 11-DOC until plasma concentrations reached levels of nearly
complete aldosterone inhibition (≥90%) and excess thereof (Figure 6). For BI 689648
(aldo EC50=2 nM), appreciable changes in 11-DOC were only noted at plasma
concentrations >2000 nM or >1000X its aldo EC50 while FAD286 showed a window of
~100X. By comparison, the least selective ASIs begin to increase plasma 11-DOC at
exposure levels much closer to their respective aldo EC50 values (S-FAD ~2-5X; LCI699
~ 1-20X). Effects on the cortisol precursor 11-DC (Figure 6) were also consistent with
compound selectivity. The less selective molecules exhibited greater increases in 11-
DC and at lower plasma concentrations with respect to EC50 values for cortisol inhibition.
Similar to that of 11-DOC, BI 689648 exhibited minimal impact on 11-DC and only at
very high plasma concentrations (~10 uM). Effects of ASIs on plasma corticosterone
and 18-OHB levels were unremarkable, showing a slight elevation above control levels
with no clear dose-response relationship (data not shown).
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Discussion:
Clinical benefit of targeting the harmful effects of aldosterone in cardiovascular
disease has been demonstrated using the MRAs eplerenone (Pitt et al., 2001) and
spironolactone (RALES, 1996) while finerenone, representing the next generation of
non-steroidal MRAs is currently under clinical evaluation (Bakris et al., 2015). However,
the use of MRAs presents specific limitations that could in principle be mitigated by
direct inhibition of aldosterone synthesis. First, blocking the MR leads to an increase in
circulating aldosterone levels. Since deleterious effects of aldosterone can be mediated
through both MR-dependent and MR-independent pathways (Nguyen Dinh Cat and
Jaisser, 2012; Brown, 2013), MRAs will block only MR-dependent pathways, whereas
an ASI would attenuate all aldosterone-dependent pathways. Second, treatment with
MRAs can disrupt electrolyte balance leading to hyperkalemia (Roscioni et al., 2012;
Shavit et al., 2012). An ASI with an ideal pharmacokinetic profile would be expected to
reduce excess aldosterone exposure while allowing adequate signalling via MR to
maintain electrolyte balance and minimize the risk of hyperkalemia.
The angiotensin pathway is an important contributor to cardiometabolic disease (CMD)
pathologies, including diabetic kidney disease (DKD). Angiotensin converting enzyme
inhibitors and ARBs are part of the current standard of care for DKD but angiotensin
antagonists provide only limited protection against the progressive loss in renal function
observed in these patients (Lewis et al., 1993; Brenner et al., 2001; Lewis et al., 2001).
Consequently, additional therapeutic agents are needed to combat alternative
pathological pathways such as aldosterone, associated with cardiometabolic diseases.
In addition, although ACEIs and ARBs have an indirect effect of reducing aldosterone
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levels, a substantial number of patients on ACEIs or ARBs experience “aldosterone
breakthrough”, in which initially reduced aldosterone levels return to pretreatment
values or higher (Bomback and Klemmer, 2007). Therefore, in CMDs such as DKD,
ASIs would provide additional disease modifying benefit on top of the angiotensin
antagonists by inhibiting pathological effects of aldosterone mediated through both MR-
and non-MR pathways.
Discovery of selective ASIs has been challenging due to the high protein sequence
identity between human CYP11B1 and CYP11B2 and limitations of current preclinical
model systems, in vitro and in vivo (Cerny et al., 2015). Addressing these challenges,
we used complementary in vitro and in vivo, primate-based models for identifying and
profiling novel, highly selective ASIs. To identify molecules suitable for optimization, we
developed the CAH assay a tissue-derived assay that is physiologically relevant to the
intact in vivo system regarding protein homology, enzyme-cofactors and activities
(Cerny et al., 2015). For in vivo selectivity profiling we used conscious cynos subjected
to the ACTH stimulation test, used clinically to evaluate adrenal steroid production
(Dorin et al., 2003) and as such, highly relevant for evaluating the pharmacodynamic
effects of ASIs. The use of primate-based models for preclinical profiling of ASIs is
advantageous to rodent models for defining selectivity and the potential to better predict
compounds likely to achieve clinical success. Following this discovery strategy we
identified BI 689648, a potent and highly selective ASI that exhibits an in vitro IC50 of 2
nM (Table 1) and 11000-fold in vivo selectivity (Figure 4), almost 4 times more selective
than LCI699, a recent ASI evaluated in patients. This is an important finding since the
selectivity of LCI699 in preclinical studies (~3-fold), in conjunction with its
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pharmacological profile in early clinical trials, were considered suitable at the time for
subsequent Phase II clinical evaluation. However, this compound ultimately failed to
show acceptable selectivity for aldosterone vs cortisol inhibition in humans (Amar et al.,
2010; Azizi et al., 2013).
Our CAH data showed IC50’s for S-FAD, LCI699 and FAD286 that were slightly lower
but in general, comparable to those previously published (Roumen et al., 2007; Roumen
et al., 2010) although, a limitation of our data is that for LCI699 and BI 689648, only a
single experiment was performed. However, we recently reported good reproducibility
for the CAH assay using structurally diverse compounds, different CAH preparations;
and including male and female tissue showing there are no gender differences
associated with CYP11B activities in cynos (Cerny et al., 2015). As a predictor of in
vivo efficacy (plasma aldosterone inhibition), we found that the CAH assay provided
accurate and useful rank-order results and was highly predictive for both potency and
selectivity in vivo. Our in vitro-in vivo (IC50-EC50) correlations were similar for CYP11B2-
aldosterone, but for CYP11B1-cortisol, all compounds were consistently less potent in
vivo (Table 1; Figure 4) but the lower CYP11B1 in vitro potencies did not impact the
predictive value of the CAH assay. Comparing compound selectivity based on IC50-
EC50 values we showed the rank-order selectivity of BI 689648 > FAD286 > LCI699 >
S-FAD is directly in line for both profiling modalities. As all compounds tested are
believed to be competitive inhibitors, there was no expectation that the absolute
measure of potency under both in vitro and in vivo assay conditions should coincide
since the enzymatic reactions (and inhibition thereof) are dependent upon prevailing
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local substrate concentrations and as such, not expected to be the same for both
experimental conditions.
During cardiometabolic diseases in which aldosterone is implicated as a key mediator,
the aldosterone synthesis pathway is expected to be increased, but the level of
aldosterone inhibition required to exhibit clinical safety and efficacy has yet to be
determined. Considering the efficacy (aldo EC50) profiles for the ASIs shown in Figure 4,
one might predict that the selectivity observed for LCI699 (~300-fold) or FAD286 (~ 500-
fold) would be sufficient to provide an adequate therapeutic window for aldosterone-
cortisol inhibition. However, that was not the case when these compounds were
evaluated in humans (Santen et al., 1991; Azizi et al., 2013). We postulated a higher
therapeutic index may be required to achieve clinical success with an ASI; assuming
greater aldosterone inhibition (75%) in combination with little or no inhibition of cortisol
(≤10%). We applied this postulated therapeutic index of EC75 ALDO vs. EC10 CORT as a
more likely indicator of clinical reality compared to a conventional EC50 ALDO-CORT ratio
and in doing so we saw quite a different selectivity profile for each compound. LCI699
and FAD286, both of which appeared to provide favorable selectivity using the EC50
criteria became <30-fold selective when using the EC75 ALDO vs EC10 CORT formula while
the selectivity of S-FAD was reduced to less than zero. Only BI 689648, the most
selective ASI we tested maintained a substantial degree of selectivity (~400-fold) under
the more stringent criteria (Figure 5). Whether or not such criteria will be beneficial for
successful clinical projections going forward will need to be proven.
Since cortisol and aldosterone are the terminal products of multi-step enzymatic
processes mediated by CYP11B1 and CYP11B2, respectively, we evaluated the effects
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of ASIs on aldosterone and cortisol pathway intermediates 11-DOC, corticosterone, 18-
OHB and 11-DC. CYP11B2 catalyzes three successive reactions first converting 11-
DOC to corticosterone, then corticosterone to 18-OHB and finally 18-OHB to
aldosterone. CYP11B1 is primarily responsible for converting 11-DC to cortisol but is
also capable of converting 11-DOC to corticosterone (Payne and Hales, 2004).
Consistent with mechanism of action, we expected that all ASIs would increase the
aldosterone precursor 11-DOC concomitant with increasing CYP11B2 inhibition and,
compounds that showed greater selectivity for CYP11B2 vs CYP11B1 would exhibit
less effect on the cortisol precursor 11-DC. We observed the expected effect on both
intermediates with all ASIs, albeit at distinctly different levels of CYP11B inhibition. The
most robust changes in 11-DOC and 11-DC were noted for the least selective ASIs (S-
FAD; LCI699) and occurred at respective plasma concentrations expected to induce
significant CYP11B1 inhibition (i.e. cortisol EC50) while compounds with higher AS
selectivity (FAD286 and BI 689648) showed less impact on 11-DC (Figure 6). The
larger changes observed for the less selective ASIs are indicative of their greater impact
on CYP11B1 inhibition since both 11-DOC and 11-DC are substrates for CYP11B1.
Since both CYP11B1 and B2 are capable of metabolizing 11-DOC to corticosterone and
there is an inherently higher concentration of endogenous CYP11B1 compared to
CYP11B2 (Guengerich et al., 2011), there is likely a greater role for CYP11B1 vs
CYP11B2 in the conversion of 11-DOC to corticosterone resulting in higher 11-DOC
accumulation during combined CYP11B1-B2 inhibition as would be the case following
treatment with the less selective ASIs. There were no meaningful changes in either
corticosterone or 18-OHB following ASI treatment.
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In summary, we employed cynomolgus monkey based models to identify and prioritize
novel ASIs as potential therapeutic agents based on potency and selectivity. These
primate-based models are highly relevant to adrenal steroid biology in humans and
provide a more applicable model for assessing ASI selectivity compared to those in
rodents. Herein, we report the identification of a novel, orally active AS inhibitor BI
689648 that is highly selective and exhibits minimal to no effect on cortisol or other
steroid pathway intermediates compared to the recently described ASIs FAD286 and
LCI699. We conclude that highly selective aldosterone synthase inhibitors such as BI
689648 represent an important step toward the discovery of safe and effective
aldosterone modulators for clinical use in cardiometabolic diseases including CKD and
diabetic nephropathy.
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Acknowledgements:
The authors would like to acknowledge the Scientific Service staff at SNBL-USA: Narine
Lalayeva, Megumi Bailey, Motti Dabadi and Tiana Spencer for their technical expertise
performing the in-life procedures for the cynomolgus monkey studies.
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Authorship contributions and disclosures:
Participated in research design: Steven M. Weldon, Matthew A. Cerny, Derek Cogan,
Neil Moss, Jean-Hugues Parmentier, Jeremy Richman, Nicholas F. Brown
Conducted experiments: Steven M. Weldon, Matthew A. Cerny
Contributed new reagent or analytic tools: Derek Cogan, Xin Guo, Neil Moss, Jean-
Hugues Parmentier
Performed data analysis: Steven M. Weldon, Matthew A. Cerny, Kristina Gueneva-
Boucheva, Neil Moss, Jeremy Richman, Nicholas F. Brown
Wrote or contributed to writing of the manuscript: Steven M. Weldon, Matthew A.
Cerny, Kristina Gueneva-Boucheva, Glenn A. Reinhart, and Nicholas F. Brown
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Footnotes:
Funding: This work was funded by Boehringer Ingelheim Pharmaceuticals Inc.
Address for communication and reprint requests:
Steven M. Weldon
Cardiometabolic Disease Research
Boehringer Ingelheim Pharmaceuticals Inc
175 Briar Ridge Road
Ridgefield, CT 06877
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Figure Legends:
Figure 1. Chemical structures: S-fadrazole (S-FAD), R-Fadrazole (FAD286),
LCI699 and BI 689648
Figure 2. Pharmacokinetic profiles of ASIs in cynomolgus monkeys. Plasma
compound concentrations of aldosterone synthase inhibitors R-S-FAD (n=2), LCI699
(n=3) and BI 689648 (n=3) were evaluated following oral administration at 5 mg/kg in
cynomolgus monkeys. A racemic mixture of R- and S-fadrazole was used for PK
profiling of FAD286 and S-FAD. The two enantiomers R- and S-fadrazole are assumed
to be in equal amounts in analysis samples and presented here as a single curve. All
data plotted as Mean±SD.
Figure 3. ACTH-induced steroid responses in cynomolgus monkeys. Control
responses in non-compound treated monkeys. (A) Maximal ACTH-induced aldosterone
and cortisol production occurs within 15 min following ACTH challenge (shaded grey
area). (B) Baseline aldosterone and cortisol levels for the study cohort (n=94
treatments; see Concise Methods) and ACTH-stimulated steroid responses from the
vehicle control groups (n=32 treatments). Baseline vs. ACTH responses were
compared using the t test and p values <0.05 were considered statistically significant.
Figure 4. In vivo selectivity of BI 689648, LCI699 and FADs. Animals were pre-
treated with dexamethasone approximately 6 hrs prior to administration of test
compound, vehicle and ACTH. ACTH was administered immediately after test
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compound given intravenously or at the respective Cmax/Tmax for orally applied
compounds, to ensure peak compound exposure upon sampling (15 min post-ACTH).
Conscious monkeys received compound doses of 0.003-10 mg/kg to generate
exposure-response relationship curves for (A) S-FAD, n=9 (B) LCI699, n=36; (C)
FAD286, n=24 or (D) BI 689648, n=26. n=number of treatments. Data represents
plasma aldosterone, cortisol and compound levels 15 min following ACTH
administration. Steroid levels are expressed relative to mean values (Percent of Control;
POC) for the Vehicle-treated control groups (n=35) and plotted against plasma
compound (unbound) concentration. Each data point represents individual animal
responses for either aldo or cortisol. Group data were aggregated across studies to
derive Effective Concentrations to achieve 50% inhibition (EC50) of aldosterone and
cortisol calculated by curve-fitting; 95% confidence intervals are shown in parentheses
next to respective EC50’s. Selectivity (X-Fold; double-headed arrow) was calculated
using EC50 CORT divided by the EC50 ALDO.
Figure 5. Selectivity of AS inhibitors based on EC75 ALDO vs EC10 CORT. AS inhibitor
EC data for aldosterone and cortisol (described in Figure 4) was used to calculate a
hypothetical therapeutic index for clinical efficacy based on a postulated level of
aldosterone inhibition of 75% inhibition compared to ≤10% inhibition of plasma cortisol.
Dotted lines represent 25- and 90-Percent of Control Responses and correspond to
interpolated EC75 and EC10 values, respectively. Selectivity values (X-Fold; double
headed arrow) were calculated using EC10 CORT divided by the EC75 ALDO.
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Figure 6. Effect of ASIs on steroid precursor substrates in vivo. Consistent with
the methods described in Figure 4; effect of ASI treatment on ACTH-induced 11-DOC
and 11-DC. Levels are expressed as Fold-Change vs Control responses. Dotted line
represents aldo EC50; solid line represents aldo EC90; dashed line represents cort EC50.
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Table 1. In Vitro Selectivity of BI 689648, LCI699 and FADs. In vitro IC50 values and
selectivity of AS inhibitors determined using the cynomolgus monkey adrenal
homogenate (CAH) assay. Data represent average results from n=1-3 preparations.
Assay Compound
CAH IC50 (nM) S-FAD LCI699 FAD286 BI 689648
Cortisol Synthase a
(CYP11B1) 8 77 94 310
Aldosterone Synthase b
(CYP11B2) 230 10 2.5 2.1
Selectivity c
0.04 7.7 38 149
a S-FAD (n=2); LCI699 (n=1); FAD286 (n=2); BI 689648 (n=1)
b S-FAD (n=3); LCI699 (n=1); FAD286 (n=3); BI 689648 (n=1)
c Calculated as: CAH IC50 CYP11B1
CAH IC50 CYP11B2
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