Stefano Sainas1, Marta Giorgis1, Paola Circosta2,3, Giulio Poli4, Marta Alberti5, Alice Passoni6, Valentina Gaidano7, Agnese C Pippione1, Nicoletta Vitale8, Davide Bonanni1,9, Barbara Rolando1, Alessandro Cignetti7, Cristina Ramondetti10, Alessia Lanno6, Davide M Ferraris5, Barbara Canepa11, Barbara Buccinnà10, Marco Piccinini10, Menico Rizzi5, Giuseppe Saglio2,7, Salam Al-Karadaghi12, Donatella Boschi1, Riccardo Miggiano5, Tiziano Tuccinardi3, Marco L Lolli1. 1. Department of Drug Science and Technology, University of Turin, Via P. Giuria 9, Turin 10125, Italy. 2. Department of Clinical and Biological Sciences, University of Turin, Regione Gonzole 10, Orbassano, Turin 10043, Italy. 3. Molecular Biotechnology Center, University of Turin, Via Nizza 52, Turin 10126, Italy. 4. Department of Pharmacy, University of Pisa, Via Bonanno 6, Pisa 56126, Italy. 5. Department of Pharmaceutical Sciences, University of Piemonte Orientale, Via G. Bovio 6, Novara 28100, Italy. 6. Laboratory of Mass Spectrometry, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, Milan 20156, Italy. 7. Division of Hematology and Cell Therapy, AO Ordine Mauriziano, Largo Filippo Turati, 62, Turin 10128, Italy. 8. Department of Molecular Biotechnology and Health Sciences, University of Turin, Via Nizza 52, Turin 10126, Italy. 9. Life Science Department, University of Modena, Via Università 4, Modena 41121, Italy. 10. Department of Oncology, University of Turin, Via Michelangelo 27/B, Turin 10125, Italy. 11. GEM FORLAB, Via Ing. Comotto 36, Caluso, Turin, 10014, Italy. 12. Department of Biochemistry and Structural Biology, Lund University, Naturvetarvägen 14, Box 124, Lund 221 00, Sweden.
Abstract
In recent years, human dihydroorotate dehydrogenase inhibitors have been associated with acute myelogenous leukemia as well as studied as potent host targeting antivirals. Starting from MEDS433 (IC50 1.2 nM), we kept improving the structure-activity relationship of this class of compounds characterized by 2-hydroxypyrazolo[1,5-a]pyridine scaffold. Using an in silico/crystallography supported design, we identified compound 4 (IC50 7.2 nM), characterized by the presence of a decorated aryloxyaryl moiety that replaced the biphenyl scaffold, with potent inhibition and pro-differentiating abilities on AML THP1 cells (EC50 74 nM), superior to those of brequinar (EC50 249 nM) and boosted when in combination with dipyridamole. Finally, compound 4 has an extremely low cytotoxicity on non-AML cells as well as MEDS433; it has shown a significant antileukemic activity in vivo in a xenograft mouse model of AML.
In recent years, human dihydroorotate dehydrogenase inhibitors have been associated with acute myelogenous leukemia as well as studied as potent host targeting antivirals. Starting from MEDS433 (IC50 1.2 nM), we kept improving the structure-activity relationship of this class of compounds characterized by 2-hydroxypyrazolo[1,5-a]pyridine scaffold. Using an in silico/crystallography supported design, we identified compound 4 (IC50 7.2 nM), characterized by the presence of a decorated aryloxyaryl moiety that replaced the biphenyl scaffold, with potent inhibition and pro-differentiating abilities on AML THP1 cells (EC50 74 nM), superior to those of brequinar (EC50 249 nM) and boosted when in combination with dipyridamole. Finally, compound 4 has an extremely low cytotoxicity on non-AML cells as well as MEDS433; it has shown a significant antileukemic activity in vivo in a xenograft mouse model of AML.
Human dihydroorotate dehydrogenase (hDHODH, EC
1.3.99.11) plays a key role in the de novo pyrimidine biosynthesis.
Being located in the inner mitochondrial membrane, it catalyzes the
oxidation of dihydroorotate to orotate by involving the cofactor flavin
mononucleotide (FMN). This latter is then regenerated by transferring
electrons to ubiquinone (coenzyme Q), which is then released in the
inner mitochondrial membrane, relating the hDHODH
activity to the mitochondrial electron transport chain (ETC).[1,2] Since the 1980s, with the development of drug-like inhibitors such
as leflunomide and brequinar, hDHODH has been considered
a validated target in diseases that involve cellular proliferation,
such as autoimmune diseases and cancer.[3,4] In recent years,
this target has received renewed interest from the scientific and
pharma community due to its potential as a therapeutic target in acute
myeloid leukemia (AML)[5,6] and virus replication mechanisms
(Chart ).[7,8]
Chart 1
During 2020/2021, Four Major Companies Were Known to Run Phase I/II
AML Clinical Trials Involving Newly Patented hDHODH
Inhibitors As Well As The Well-Known Inhibitor Brequinara
(*) Representative hDHODH inhibitor patented by Janssen; the structure of compound
JNJ74856665 involved in the clinical trial has not been disclosed
yet[22−25] (**). An example of the patented Rhizen Pharmaceutical AG, the structure
of the Rhizen Pharmaceutical AG compound RP7214 involved in the clinical
trials has not been disclosed yet.[26,27] MEDS433, an
advanced preclinical candidate designed by the authors, is also included
in Chart . Structures
of other hDHODH inhibitors involved in several clinical
trials. The PDB ID of the structures of the inhibitors in complex
with hDHODH are shown, when available.AML is the most common acute leukemia in adults and affects
the
myeloid lineage of white blood cells. It is a severe disease with
a poor prognosis: typically, AML is fatal within weeks or months if
left untreated, while the 5 year survival rate is approximately 25%
with current therapies. Leukemic blasts are immature cells that have
lost the ability to differentiate into adult white blood cells and
accumulate in the bone marrow, interfering with the production of
normal blood cells. The discovery[9,10] that hDHODH inhibitors can promote myeloid differentiation opened
new treatment scenarios for the disease. Sykes et al.[10] were first to suggest that AML cells, unlike non-leukemic
cells, may be particularly sensitive to “pyrimidine starvation”,
a condition induced by hDHODH inhibitors by blocking
the de novo biosynthesis. Although the mechanism of action of hDHODH inhibitors has not been fully elucidated,[3,5,6] pyrimidine starvation seems to
force AML cells to choose differentiation over self-renewal. As this
approach does not depend on the presence of specific mutations, it
could be applied to, possibly, all AML subtypes, potentially aligning
them to the acute promyelocytic leukemia (APL) subtype. APL is currently
curable in more than 90% of cases[11] using
a differentiation therapy based on all-trans-retinoic acid (ATRA),
in association with a pro-apoptotic agent (chemotherapy or arsenic
trioxide).[12,13]The unpreparedness of our
society to facing the COVID-19 (COronaVIrus
Disease) pandemic clearly revealed the absence of effective broad-spectrum
antiviral agents, therapeutically effective against severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) variants and other viruses with
pandemic potential.[14]hDHODH inhibitors, by reducing the pyrimidine pool required for virus
replication in host cells, have shown potent antiviral activity against
a broad spectrum of viruses including SARS-CoV-2, thus becoming one
of the most interesting therapeutic options for COVID-19.[7,8,15−21]hDHODH inhibitors bind in a tunnel-like pocket,
called “lipophilic patch”, which is used by ubiquinone
to reach FMN during the enzymatic reaction.[4] The tunnel, that is lipophilic at the entrance, is exposed to the
inner mitochondrial membrane and becomes more polar in the inner part
which approaches FMN. Here, R136 (Figure ) of hDHODH often plays
a key role in binding potent inhibitors characterized by the presence
of an acidic moiety. It is the case of brequinar, a compound developed
by Du Pont (DuP-785) in 1985[28] that is
considered to be one of the most potent hDHODH inhibitors
discovered to date. Clear Creek Bio, who acquired it from Bristol
Myers Squibb, has recently completed Phase I/II clinical trials with
brequinar for the treatment of patients with relapsed/refractory AML
(NCT03760666, no result released yet). The design used by Rhizen Pharmaceutical
AG also involves an acidic moiety in the structure. In this case,
Phase I trials (NCT04680429) on RP7214 were completed in August 2021,
although also in this case no results have been released yet. The
other inhibitors undergoing clinical trials are neutral compounds:
PTC-299[29] (PTC pharmaceuticals, Phase I,
NCT03761069) and JNJ74856665[23,25,30] (Janssen in Phase I, NCT04609826); both trials are in the recruiting
phase. Phase I/II trials of BAY2402234[31] (NCT03404726), supported by Bayer, which started in January 2018,
were terminated at the beginning of 2021 due to the lack of adequate
clinical benefits.[32]
Figure 2
Energy-minimized
average structure of compound 4 (orange)
within hDHODH binding site (gray). Flavin mononucleotide
is shown in magenta, while H-bonds are shown as black dashed lines.
PDB IDs of crystal structures used as starting points for computational
analysis is 6FMD.
Similarly, in
July 2019, trials involving ASLAN003[33] (NCT03451084)
were terminated for the same reason,.[34] This scenario raises an important question:
why have inhibitors of the pyrimidine biosynthesis, and in particular hDHODH inhibitors, been unsuccessful in clinical trials?[3] Brequinar failure in solid tumor clinical trials
back in the nineties[35] has been recently
subjected to extensive analyses, suggesting that clinically relevant
uridine depletion may not have occurred,[36] preventing the tumor cells to enter a significant “pyrimidine
starvation” condition.[5] Generally
speaking, this situation could be due to an insufficient potency in
vivo: the inhibitor, although able to potently inhibit the hDHODH enzyme in vitro, could suffer cell permeability issues
that limit its efficacy in vivo. Another problem could be due to an
inadequate dosing: the schedule, in fact, must be carefully optimized
following the drug pharmacokinetic to avoid interruptions of the “pyrimidine
starvation” continuum between one administration and the following,
allowing some residual hDHODH activity. Finally,
the presence of the salvage mechanism, which allows extracellular
nucleosides, including uridine, to enter into the cells through the
human Equilibrative Nucleoside Transporter (hENT1/2)
channels, may also be considered as a possible explanation of the
reduced efficacy of hDHODH inhibitors in an in human
environment. While extracellular uridine present at a physiological
concentration of 5 μM in human plasma is sufficient to allow
life of cells when in the resting state,[37] higher uridine levels are present in solid growing tumors. These
high uridine levels and the subsequent lack of complete pyrimidine
starvation could explain the lack of antitumor activity of brequinar
observed in solid tumors.In the past few years, our group as
well as others have helped
to redefine the optimal paradigm in the design of hDHODH inhibitors, which could translate the high potency on the isolated
enzyme into potent cellular/in vivo hDHODH-associated
activities.In 2018, the authors discovered MEDS433[38] (Chart ) as a representative
of a novel class of hDHODH inhibitors structurally
based on an unusual carboxylic group hydroxyazole bioisostere,[38−42] 2-hydroxypyrazolo[1,5-a]pyridine, which is involved
in a key interaction with R136 in the ubiquinone binding site. As
already mentioned, since the ligands have to reach the inner mitochondrial
membrane where hDHODH is located,[43] lipophilicity must be taken into account during ligand
design. LogD7.4 above 2.5 has been considered
to be essential for the translation of potent in vitro hDHODH enzymatic activity inhibition into a substantial effect in
cells.[44] In this sense, the more lipophilic
MEDS433, the in vitro activity of which is comparable to that of brequinar
(IC50 1.2 nM vs 1.8 nM, respectively), was found to be
superior to brequinar in cells.[38] Unfortunately,
because higher lipophilicity is usually associated with reduced solubility
and adverse ADME, we and other researchers investigated alternative
strategies for the improvement of the in vivo/in human efficacy of
the designed hDHODH inhibitors. Coadministration
of hDHODH inhibitors with ENT1/2 blockers, such as
dipyridamole, to temporarily block both the de novo synthesis and
the uridine salvage pathway produces an enhancement of the effect.
The combination of MEDS433 and dipyridamole, indeed, has already shown
to greatly boost its antileukemic activity[45] as well as its antiviral activity.[18] In
the present work, we continued to design optimized hDHODH inhibitors based on the 2-hydroxypyrazolo[1,5-a]pyridine scaffold and to study effective ways of their optimal future
application in vivo.In the present work, we move forward from
that discovery in the
same two directions followed in Sainas et al.;[39] on one hand, we continued to design optimized hDHODH inhibitors based on the 2-hydroxypyrazolo[1,5-a]pyridine scaffold exploring the structure–activity relationships
(SARs) of this class of compounds in the attempt to provide analogues
with better potency and drug-like profiles. On the other, we continue
the investigation of MEDS433: having already observed good metabolic
stability and no toxic profile when administered at doses of 10 and
25 mg/kg every 3 days for 5 weeks (Balb/c mice), in this paper, we
will first describe its in vivo efficacy with that of the best compound
of new series on a xenograft AML animal model, creating the proof
of concepts for its future applications.Targeting hDHODH is a quite complex matter being
the target a mitochondrial enzyme: the inhibitors must be lipophilic
(logD7.4 2.5–3 range)[44] in order to be able to transfer optimal activity
at the enzymatic level to cellular efficacy, exposing them to solubility
issues. Because of these issues, as can be observed from the recent
literature,[46] it is important to keep proposing
new scaffolds as a source of optimized inhibitors. The SAR of MEDS433
has already been investigated identifying the biphenyl scaffold[39,47] as a source of effective interaction with the lipophilic hDHODH subsite 1. Since the MEDS433 discovery, we focused
our studies on the possibilities of replacing/improving the biphenyl
substructure to improve pharmacokinetics and obtain more drug-like
compounds. In our earlier studies, we already investigated compound 1, which is characterized by a substituted diarylether.[38] Although less potent than MEDS433, compound 1 (IC50 = 50 nM) proved the possibility of designing
inhibitors where the biphenylic moiety is replaced by a diarylether
scaffold. Being characterized by a higher logD7.4, compound 1 performed in a comparable manner
to MEDS433 in proliferation and immunosuppression in cellular assays,
recovering the weaker efficacy in inhibiting the enzyme by an improved
efficacy in reaching the target, probably due to a better membrane
permeability. Moreover, compound 1 was superior to MEDS433
in terms of cytotoxicity (>100 vs 60.4 μM to observe an effect
≥30%). Due to its safer profile, we started with this compound
to continue the exploration of the SAR of this series of hDHODH inhibitors. Using an in silico/crystallographic approach, we
designed a series of compounds (Figure ) to specifically investigate the diarylether scaffold
present in 1. Early studies suggested that the introduction
of methyl substituents in ring A of compound 1 ring A
could stabilize the favorite binding conformation,[38] leading to a more optimal interaction with the protein.
We investigated the substituent role on the first ring A by compounds 2–10, while rigid compounds 11–14 were then used to investigate the possibility of making this conformation
more rigid, possibly improving its binding efficacy. On the other
hand, with compounds 15–18, we investigated the
potential beneficial role of the pyridine substitution of phenyl ring
A or B to insert a hydrophilic center in order to increase the solubility.
With compound 19, we investigated that the possibility
of placing a substituent on the para position of ring B starting from
compound 4 proved to be the most potent during the enzymatic
assay.
Figure 1
Lead compound 1 and designed compounds 2–19 involved in the SAR exploration.
Lead compound 1 and designed compounds 2–19 involved in the SAR exploration.All the compounds were investigated with in silico/crystallographic
approaches and evaluated for their ability to inhibit hDHODH and the best of them was assayed for their differentiating/proapoptotic
properties, with and without dipyridamole, to boost their performance
and to optimize for potential in vivo applications and compared with
the clinical trial lead brequinar.
Results and Discussion
Inhibition of hDHODH and SAR
We evaluated
the recombinant hDHODH inhibition activity of compounds 2–19 using the clinical-trial candidate brequinar,
synthesized following known procedures, MEDS433 and compound 1 for comparison. In order to complete the scenario and prepare
the discussion of the following cell-based studies, LogD7.4 and solubility in PBS were also measured for the most
potent compounds in the series (Table ).
Table 1
Enzyme Inhibition by brequinar, MEDS43338, and Compounds 1−19, with
Relative LogD7.4 and IC50 Values Shown
compound
hDHODHa IC50 ± SE(μM)
Log D7.4 ± SDb
Brequinar[38]
0.0018 ± 0.0003
1.83 ± 0.02
MEDS43338
0.0012 ± 0.0002
2.35 ± 0.02
1
0.050 ± 0.005
2.93 ± 0.0938
2(38)
0.48 ± 0.03
nd
3
0.40 ± 0.06
2.46 ± 0.05
4
0.0072 ± 0.0009
3.18 ± 0.09
5
0.114 ± 0.011
2.91 ± 0.07
6
5.2 ± 0.9
nd
7
>10
nd
8
3.9 ± 0.8
nd
9
2.209
nd
10
7.0 ± 1
nd
11
>10
0.45 ± 0.02
12
2.8 ± 0.4
2.89 ± 0.05
13
>10
2.55 ± 0.04
14
7.2 ± 1.6
1.59 ± 0.03
15
>10
nd
16
>10
nd
17
2.2 ± 0.4
1.76 ± 0.07
18
0.070 ± 0.011
2.51 ± 0.07
19
0.018 ± 0.004
>3
hDHODH, in vitro
assay.
Measured by shake
flask-method;
“nd” indicates that the compound was not tested in that
specific assay.
hDHODH, in vitro
assay.Measured by shake
flask-method;
“nd” indicates that the compound was not tested in that
specific assay.In lead compound 1, the presence of two
methyl groups
in the first ring is crucial for the activity. We earlier proved by
molecular dynamics (MD) studies how if left unsubstituted the first
ring allows free rotation of the phenyl-O-phenyl
dihedral angle inside subsite 1, leading to the conformational variability
seen along the MD trajectories.[38] We experimentally
confirmed such behavior with compounds 2 and 3, where only one methyl is present, respectively, in position 5 (compound 2) or in position 2 (compound 3). Both compounds,
although still active in the low nM range, lose one log digit compared
to 1.While retaining a double substitution on
the first ring, with compounds 4 and 5,
we investigated the replacement of one
methyl with an isopropyl moiety as the bulkier group. In this replacement,
only position 2 seems to tolerate the bulkier substituent: while 5 loses two log digits compared to 1, compound 4 is the best compound of the series reaching an IC50 of 7 nM. Focusing on position 2, with compounds 6–10, we more deeply investigate the possibility to insert bulkier groups,
observing a dramatic drop-in activity, with all the IC50 values of all the compounds in the μM range. Moving toward
a different approach, compounds 11–14 were used
to investigate the possibility of creating a rigid scaffold between
rings A and B, with the aim of improving the binding efficacy. Unfortunately,
we observed inactivity, with all the compounds IC50s in
the μM range. We can speculate that a certain degree of flexibility
is required to navigate the lipophilic patch in order to reach subsite
2. In lead 1, the replacement of the substituted phenyl
ring A with a bioisosteric pyridine resulted in losses of activity
(15 and 16) as well as the replacement of
the oxygen that bridges the two rings with sulfur (compound 17). Starting from 4, the best compound of the
series (IC50 = 7.2 nM), it can be observed that while the
replacement of CH in para with the more polar bioisostere nitrogen
(compound 18) resulted into a loss of one log digit activity
(IC50 = 70 nM), its substitution with a CF3 group
(compound 19) was better tolerated (IC50 =
18 nM). Nevertheless, the bioisosteric nitrogen replacement produced
a 20-fold increased solubility of compound 18 (111 μM, Table S4) with respect to the solubility of compound 4 (<6 μM).It can be observed that the most
interesting compounds of the series
(4, 5, 18, and 19) are characterized by logD7.4s values
higher than those of brequinar or MEDS433 to guarantee the superior
permeability until the mitochondrial lipophilic patch. In this sense, 18 is quite interesting because it shows a potent hDHODH activity (IC50 = 70 nM), almost 6-fold
higher than that of teriflunomide (IC50 = 388 nM),[42] the only hDHODH inhibitor approved
so far (multiple sclerosis), and optimal logD7.4 (2.51) and solubility in PBS (111 μM).
Binding Mode Analysis: Molecular Modeling and Crystallographic
Studies
In order to rationalize the SAR data, molecular modeling
studies based on docking, molecular dynamics (MD) simulations, and
binding free-energy evaluations were carried out. Compound 4, which demonstrated to be the most potent hDHODH
inhibitor of the series (IC50 7.2 nM), was initially docked
into the X-ray structure of hDHODH, with the aim
of predicting its binding mode into the enzyme (see Material and Methods
for details). The corresponding
ligand–protein complex obtained by docking was then studied
using a 50 ns MD simulation protocol, and this procedure was first
evaluated on the reference hDHODH-MEDS433 crystallographic
complex (PDB code 6FMD).[38] As shown in Figure S1, both the ligand and the two cofactors (flavin mononucleotide
and orotic acid) maintained their binding modes during the control
MD simulation, showing an average root-mean-square deviation (rmsd)
of about 0.4–0.5 Å from their position in the experimental
structure. The validated MD protocol was subsequently used for studying
the hDHODH-4 complex obtained by docking. Figure shows the predicted binding mode of the compound, which was
found to be highly stable during the MD (with an average rmsd of ligand
position of about 0.8 Å). As expected, the 2-hydroxypyrazolo[1,5-a]pyridine core of the ligand was predicted to interact
with key residues through H-bonds and salt bridge interactions. In
particular, the 2-hydroxypyrazolo[1,5-a]pyridine
moiety, which is negatively charged under physiological conditions,
is predicted to present a similar charge density on the oxygen and
the geminal nitrogen (Figure S2), thus
allowing the ligand to form a charge-assisted H-bond with the side
chain of Q47, through its 2-hydroxypyrazolo[1,5-a]pyridine oxygen. Moreover, the ligand forms two different H-bonds
with the positively charged guanidine moiety of R136 through both
the geminal oxygen and nitrogen of its 2-hydroxypyrazolo[1,5-a]pyridine group that are maintained during almost the whole
MD simulation, thus actually establishing a salt bridge interaction
with R136. Additionally, a particularly stable intramolecular charge-assisted
H-bond is observed between the amide NH group of the ligand and its
negatively charged 2-hydroxypyrazolo[1,5-a]pyridine
oxygen. Finally, the pyridine moiety of the core primarily forms hydrophobic
interactions with P52, V134, V143, and T360. Ring A of the ligand
is sandwiched between M43 and A59, while its isopropyl substituent
is placed in a hydrophobic pocket mainly delimited by M43, L46, L50,
A55, and L58, thus forming lipophilic interactions with these residues.Energy-minimized
average structure of compound 4 (orange)
within hDHODH binding site (gray). Flavin mononucleotide
is shown in magenta, while H-bonds are shown as black dashed lines.
PDB IDs of crystal structures used as starting points for computational
analysis is 6FMD.Finally, the methyl group connected to ring A makes
hydrophobic
contacts with F98, L359, and P364, whereas the terminal phenoxyl substituent
interacts with Y38 and F62 through aromatic interactions and also
makes contact with L68 and P364.The docking/MD protocol was
then applied to the whole series of
2-hydroxypyrazolo[1,5-a]pyridine derivatives in order
to rationalize the SAR data experimentally obtained for these ligands.
In addition, ligand–protein binding free-energy evaluations
were also performed based on the results of the MD simulations obtained
for each hDHODH-ligand complex. The predicted binding modes of the
compounds, which all showed sufficiently stable conformations during
the MD simulations (Table S1), thus allowing
reliable energetic evaluations, were analyzed using the molecular
mechanics–Poisson–Boltzmann surface area (MM-PBSA) approach
(see Materials and Methods for details), seeking for a correlation
between binding energies and experimental activity that could further
validate the reliability of the computational protocol. Considering
the high polarizability of both the ligands and the hDHODH binding site, various MM-PBSA protocols with different values
of the internal dielectric constant (εint) were evaluated
with the aim of identifying the most suitable one. Figure shows the correlation between
compound activities and binding energies estimated using the best
MM-PBSA protocol, with εint = 3, which showed a squared
correlation coefficient of 0.78 (see also Tables S2 and S3).
Figure 3
Correlation between compounds’ activity, expressed
as pIC50, and binding energy estimated using the best MM-PBSA
protocol
(εi = 3), expressed in kcal/mol.
Correlation between compounds’ activity, expressed
as pIC50, and binding energy estimated using the best MM-PBSA
protocol
(εi = 3), expressed in kcal/mol.The results confirmed the reliability of the binding
modes predicted
for the series of ligands and allowed possible interpretations of
some of the SAR data. The highest binding energy (ΔPBSA = −33.48
kcal/mol) was predicted for compound 4, which was the
most potent ligand of the series. Our computational approach confirmed
the importance of the double substitution of ring A of the ligands.
In fact, most of the compounds sharing with compound 4 an alkyl-disubstituted central ring showed strong hDHODH inhibitory activity.Accordingly, these ligands were
predicted to adopt a binding mode
very similar to that described for compound 4. Compounds 18 and 19, which shared the same substitution
pattern of ring A, showed similar ligand–protein interactions
as compound 4, and, accordingly, their predicted binding
modes were associated with comparable values of binding free energies
(Table S2). In contrast, compounds with
a monoalkylated or unsubstituted central phenyl ring showed reduced
potency, with IC50 values in the high nanomolar to micromolar
range. The binding of these compounds was generally predicted to be
less stable in the MD simulations, with an average ligand rmsd closer
to or higher than 2.0 Å. For instance, compound 3, with an IC50 value of 0.40 μM, showed an average
rmsd of 2.3 Å of its position in the hDHODH
binding site and was found to form weaker interactions with key anchoring
residues of the enzyme, in particular, with Q47, which predominantly
formed a H-bond with the backbone carbonyl of T360 during the MD (Figure ). Also, considering
the reduced interactions with the hydrophobic residues of the central
portion of the enzyme catalytic site, such as L46, L50, L58, F98,
L359, and P364, compared to compound 4, the binding mode
predicted for compound 3 may justify its lower inhibitory
potency.
Figure 4
Minimized average structure of compound 3 (gold) within
the hDHODH binding site (gray). Flavin mononucleotide
is shown in magenta, while H-bonds are shown as black dashed lines.
The PDB ID of crystal structures used as starting points is 6FMD.
Minimized average structure of compound 3 (gold) within
the hDHODH binding site (gray). Flavin mononucleotide
is shown in magenta, while H-bonds are shown as black dashed lines.
The PDB ID of crystal structures used as starting points is 6FMD.Nevertheless, the experimental data demonstrated
that the replacement
of the isopropyl group of compound 4 with bulkier alkoxy
substituents in compounds 7–10 produced
a strong decrease of activity, increasing the IC50 of the
ligands to the micromolar range. Our molecular modeling studies suggested
that these compounds adopt a different binding mode in which the central
arylamide moiety of the ligands is rotated by about 180° degrees.
This binding conformation may be induced by the limited size of the
hydrophobic pocket constituted by M43, L46, L50, A55, and L58, in
which the isopropyl group of compound 4 is predicted
to be bound (Figure ) and, most importantly, by its proximity to the highly polarized
portion of the enzyme catalytic pocket in which R136 is located, which
would prevent the pocket from binding too bulky and lipophilic chemical
groups. Accordingly, compound 10 is predicted to interact
with hDHODH in a conformation in which its 2-pentyloxy
group is placed in the lipophilic pocket surrounded by L68, F98, M111,
L359, and P364 (Figure S3), which is only
partially occupied by the methyl substituent of the central phenyl
ring of compound 4 (Figure ), thus forming extensive lipophilic interactions
with these residues. However, this also leads to the disruption of
the ligand’s intramolecular H-bond, which negatively affects
the stability of the binding conformation and results in an altered
orientation of its 2-hydroxypyrazolo[1,5-a]pyridine
core. In fact, although the negatively charged oxygen of 10 interacts with R136 for most of the MD simulation, the H-bond between
this residue and the ligand pyrazolic nitrogen, as well as the interaction
with Q47, is completely lost. In agreement with these results, the
binding free energy estimated for compound 10 (ΔPBSA
= −23.91 kcal/mol) was almost 10 kcal/mol lower than that evaluated
for compound 4. Finally, the weakest binding energy among
all ligands of the series was predicted for compound 11 (ΔPBSA = −17.57 kcal/mol). In the binding mode generated
by our computational protocol, this ligand left the hydrophobic pocket
constituted by M43, L46, L50, A55, and L58 substantially unoccupied
and showed very poor interactions with Q47. In addition, due to its
small size, compound 11 was unable to interact with the
residues located at the terminal portion of the binding site, such
as Y38, F62, and L68 (Figure S4).Comparable binding modes were also observed for compounds 12–14, characterized by the same (12)
or similar (13–14) bicyclic moiety present in
11, which replaces ring A of compounds 1–10 and 15–19. Therefore, the same considerations in the attempt
to explain their low hDHODH inhibitory activity can
be derived. The impossibility to occupy the hydrophobic pocket constituted
by M43, L46, L50, A55, and L58 as well as the poor interactions established
with both Q47 and the residues delimiting the second hydrophobic pocket
(L68, F98, M111, L359, and P364) may justify the drop of activity
compared to 4. Moreover, although compounds 12–14 present a terminal phenyl ring, which allows potential interactions
with the residues located at the terminal portion of the binding site
(such as Y38, F62, and L68), its direct connection to the central
bicyclic moiety may prevent the phenyl ring to assume the optimal
orientation for interacting with such residues.With the aim
of experimentally confirming the reliability of the
molecular modeling protocol herein applied, as well as the interpretations
of the SAR data based on the results of the computational studies,
we determined the X-ray structure of hDHODH in complex
with compound 4, the most potent derivative of the series.
As shown in Figure , the binding mode observed for compound 4 in its crystallographic
complex with the enzyme was perfectly superimposable on that predicted
by our computational investigation since all different structural
moieties of the inhibitor were found to essentially assume the same
position and orientation within the hDHODH binding
site in both the model and the X-ray structure. Interestingly, most
of the protein residues within the enzyme binding site showed the
same orientation in the crystal structure and the model; in fact,
all ligand–protein interactions predicted for compound 4 by our modeling studies were experimentally confirmed.
Figure 5
X-ray
structure (PDB code 7Z6C) of hDHODH (cyan) in complex with
compound 4 (green), superimposed with the binding mode
of compound 4 (orange) within hDHODH
(gray) predicted by molecular modelling studies. Flavin mononucleotide
is shown in red and magenta in the X-ray structure and computational
model, respectively.
X-ray
structure (PDB code 7Z6C) of hDHODH (cyan) in complex with
compound 4 (green), superimposed with the binding mode
of compound 4 (orange) within hDHODH
(gray) predicted by molecular modelling studies. Flavin mononucleotide
is shown in red and magenta in the X-ray structure and computational
model, respectively.The only differences observed in the X-ray structure
with respect
to the modeled hDHODH-4 complex, at
the level of the enzyme binding site, concerned the orientation of
the side chains of few solvent-exposed residues located close to the
entrance of the binding site. In particular, the side chains of F62
and L58 showed an alternative spatial orientation with respect to
the predicted model since they are both directed toward the hydrophobic
gate formed by the side chains of Y38 and L68, instead of pointing
toward L50. Nevertheless, F62 and L58 essentially maintained the interactions
predicted with the terminal phenyl ring and the central isopropyl
group of the ligand, respectively. In conclusion, the results of the
crystallographic studies validated the binding mode predicted for
compound 4 and strongly confirmed the reliability of
the whole computational protocol applied on the series of new derivatives
herein reported, thus also supporting the value of the structure-based
interpretations of the SAR derived from the molecular modeling studies.
Cell-Based Assays: Differentiation, Apoptosis, and Cytotoxicity
Based on their inhibitory activity on recombinant hDHODH in vitro, their LogD7.4, and their
solubility, compounds 4, 5, 18, and 19 were selected for the subsequent cellular assays
and compared to brequinar, MEDS433, and 1.In particular,
these compounds were tested for (i) their ability to induce differentiation
and apoptosis on two AML cell lines (THP1 and U937) and (ii) their
cytotoxicity on non-AML cells (Jurkat T-cells). Differentiation was
investigated by assessing CD14 or CD11b expression in treated cells,
while apoptosis was investigated with annexin V expression. The results
are summarized in Table , while Figure S5 shows two exemplary
differentiation plots (compounds 4 and 18).
Table 2
Analysis of the Biological Activity
(Enzymatic–Inhibitor Activity, Differentiation, Apoptosis,
and Cytotoxicity) of Compounds 4, 5, 18, and 19, Compared to brequinar, MEDS433, and 1
compound
hDHODHa IC50 ± SE (nM)
differentiation
EC50 THP1 (nM) (C.L. 95%)
apoptosis EC50 THP1 (nM) (C.L. 95%)
differentiation
EC50 U937 (nM) (C.L. 95%)
apoptosis EC50 U937 (nM) (C.L.95%)
cytotoxicity
(nM)(effect≥30% ± SD)
brequinar
1.8 ± 0.3
249
264
214
262
48000 ± 1000[38]
(133–466)
(166–421)
(91–503)
(108–633)
MEDS433
1.2 ± 0.2
40
72
26
40
60000 ± 1000[38]
(21–77)
(42–124)
(6–104)
(24–68)
1
50 ± 5
579
1344
755
2168
>100,000
(170–1969)
(773–2278)
(266–2144)
(945–4974)
4
7.2 ± 0.9
74
110
61
452
>100,000
(51–108)
(60–203)
(40–153)
(130–865)
5
114 ± 11
372
499
235
701
>100,000
(140–943)
(185–1363)
(8–5655)
(156–2104)
18
70 ± 11
1968
2646
2284
9820
75830 ± 10340
(904–4652)
(1137–5912)
(1240–6243)
(2146–19620)
19
18 ± 4
133
230
109
448
71320 ± 5250
(86–206)
(143–366)
(64–188)
(309–632)
The differentiation and apoptotic
data are expressed as EC50, and the cytotoxic effect was
determined as the concentration that induced cytotoxicity in more
than 30% of the cells.
The differentiation and apoptotic
data are expressed as EC50, and the cytotoxic effect was
determined as the concentration that induced cytotoxicity in more
than 30% of the cells.As shown in Table , compound 4 had differentiation and apoptosis
EC50 similar to, or better than, those of brequinar on
AML cell
lines, despite being 4 times less potent on the isolated enzyme. Similarly,
compounds 5 and 19 had differentiation and
apoptosis EC50 roughly comparable to that of brequinar,
despite being, respectively, 63 and 10 times less potent on the isolated
enzyme. This phenomenon is probably due to the higher LogD7.4 of 4, 5, and 19, all approaching or exceeding 3. Compound 18, which
had been selected for its high solubility despite a medium-high LogD7.4, showed modest differentiation and apoptotic
activity on AML cells, probably due to its low activity on the isolated
enzyme, and for this reason, it was excluded from further analyses.
In fact, as shown in Figure S5, compound 4 is able to induce a significant differentiating activity
at a much lower concentration compared to compound 18. However, it must be underlined that compound 18, being
quite soluble, could be the source of future repositioning in other hDHODH-related applications where the potency of the inhibitor
is less compulsory than in the AML field, for example, immunosuppression.
In summary, compounds 1, 4, and 5 showed pro-apoptotic and pro-differentiating abilities roughly comparable
to those of brequinar with an extremely limited cytotoxicity on non-AML
cells. Moving forward, we investigated the possibility to boost their
antileukemic activity by combining 1, 4,
and 5 with dipyridamole, an ENT1/2 blocker (Figure ).
Figure 6
Combination of hDHODH inhibitors (1, 4, and 5) with dipyridamole results in
synergistic effects. Analysis of the apoptotic rate induced by compounds 1, 4, and 5 on THP1 (n = 3 panel A) and MV4-11 (n = 3, panel B), when
utilized alone or in the presence of uridine at low concentrations
(5 μM). Compounds 1 and 5 were utilized
at 1 μM, while 4 was utilized at 0.1 μM;
apoptosis was evaluated after 3 days of treatment. DMSO: dimethyl
sulfoxide. Cpd: compound. Dip: dipyridamole. Ur: uridine. Statistical
significance: Anova/Tukey, *p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001.
Combination of hDHODH inhibitors (1, 4, and 5) with dipyridamole results in
synergistic effects. Analysis of the apoptotic rate induced by compounds 1, 4, and 5 on THP1 (n = 3 panel A) and MV4-11 (n = 3, panel B), when
utilized alone or in the presence of uridine at low concentrations
(5 μM). Compounds 1 and 5 were utilized
at 1 μM, while 4 was utilized at 0.1 μM;
apoptosis was evaluated after 3 days of treatment. DMSO: dimethyl
sulfoxide. Cpd: compound. Dip: dipyridamole. Ur: uridine. Statistical
significance: Anova/Tukey, *p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001.Dipyridamole was used at 1 μM based on previous
dose finding
analyses.[45] Considering their EC50, compounds 1 and 5 were utilized at 1
μM, while compound 4 was utilized at 0.1 μM.
At these concentrations, when used alone, the three compounds demonstrated
a good pro-apoptotic activity on THP1 but limited activity on MV4-11,
another AML cell line with a higher doubling time compared to THP1.
Moreover, if human conditions were mimicked, that is, in the presence
of physiological plasma uridine concentrations (5 μM), the antileukemic
effects of these compounds were reduced or abolished (Figure , gray bar with line texture).
When dipyridamole was added (Figure , red bars), the pro-apoptotic activity of the inhibitors
was extremely enhanced, especially on MV4-11: in particular, the apoptotic
rate increased to a minimum of 59.58 ± 4.08% (with 1 in THP1) and a maximum of 90.54 ± 2.27% (with 5 in MV4-11). More importantly, when human conditions were mimicked
(with uridine 5 μM), the performances of the combinations were
unaffected or just slightly reduced, predicting in vivo effectiveness
of these associations (Figure , red bars with line texture). Finally, the synergism of this
combination is not limited to apoptosis but rather extends to the
differentiating effect (Figure S6). Please
note that unlike other experiments, the differentiation analysis had
to be performed on day 2 because on day 3, the apoptotic rate was
too high and compromised the reliability of the results. For this
reason, the results differ from Table .It is possible to hypothesize that slowly proliferating
AML cell
lines, like MV4-11, would rely both on the pyrimidine salvage pathway
and on the de novo synthesis, being poorly sensitive to the blocking
of a single pathway but highly sensitive to the blocking of both pathways.
Moreover, this combination approach could prevent a mechanism of resistance
to hDHODH inhibitors, where cancer cells could leverage
the salvage pathway to escape the hDHODH inhibitor-induced
pyrimidine depletion. In conclusion, 1, 4, and 5 demonstrated to be effective against AML cell
lines, especially in combination with dipyridamole, and could be characterized
by a limited toxicity on non-AML cells.
In Vivo Experiments
MEDS433 showed a non-toxic in vivo
profile when administered at doses of 10 and 25 mg/kg every 3 days
for 5 weeks in Balb/c mice.[39] Therefore,
we decided to move forward testing it on a xenograft AML model where
THP1 cells were injected subcutaneously in immunocompromised mice.
MEDS433 was administered intraperitoneally at 20 mg/kg/die, starting
from day 9; moreover, we also evaluated under the same conditions
the in vivo activity of compound 4, the best compound
of this series characterized by in vitro strong antileukemic activity
and a lower cytotoxicity than MEDS433. Both MEDS433 and compound 4 were able to significantly reduce the leukemic burden, in
terms of both estimated tumor volume (Figure A) and tumor weight (Figure C), proving their efficacy under i.p. administration.
Since MEDS433 is metabolically stable in vitro (98% of compound at
120 min), these data seem to reflect its activity at the cellular
level (EC50 72 nM). To complete the comparison between
the two compounds, we decided to investigate the in vitro metabolic
stability of 4 to better understand if its in vivo profile
could be influenced by a metabolic weakness.
Figure 7
MEDS433 and compound 4 show in vivo antileukemic activity
on an AML xenograft model. (A) Tumor volume measured twice weekly
during the experiment. Tx indicates the beginning of treatment. (B)
Macroscopic features of the excised tumors. (C) Final weight of the
excised tumors. Cpd4: compound 4. Statistical
significance: Anova/Tukey, *p < 0.05; **p < 0.01.
MEDS433 and compound 4 show in vivo antileukemic activity
on an AML xenograft model. (A) Tumor volume measured twice weekly
during the experiment. Tx indicates the beginning of treatment. (B)
Macroscopic features of the excised tumors. (C) Final weight of the
excised tumors. Cpd4: compound 4. Statistical
significance: Anova/Tukey, *p < 0.05; **p < 0.01.
In Vitro Metabolic Profile of 4
Therefore, we also
characterized the in vitro metabolic profile of compound 4, being
in vivo less active than MEDS433. Here, we characterize the major
metabolic pathways responsible for the metabolism of compound 4 in
vitro using rat-liver microsomes and therefore move the in vivo evaluation
forward. The in vitro metabolic profiles of compound 4 were assessed
using the following combination of methods: (C) incubation at 37 °C
with active rat-liver microsomes and a regenerating system that slowly
generated coenzyme units over the incubation time, leading to a better
reproduction of in vivo behavior; (C1) incubation at 37 °C with
heat-inactivated microsomes (via a 15 min heating cycle at 90 °C)
and a regenerating system; (C2) incubation at 37 °C with microsomes
without a regenerating system; and, finally, (B) incubation with the
blank medium. SyGMa (Systematic Generation of potential Metabolites)
software, a tool that lists predicted metabolites with associated
empirical probability scores, was used to identify putative metabolites,
which were then investigated by analyzing samples with liquid chromatography
coupled to high-resolution mass spectrometry (HPLC-HRMS). For each
series of samples (C, C1, and C2), incubation was stopped after 120
min (t 120) and intermediate samples were collected after 15, 30,
and 60 min. The full-scan MS data acquired for all the samples were
analyzed to find the m/z values
of the predicted molecular structures. In order to exclude interfering
signals, the results obtained were compared to blank samples and common
background peaks were not considered. In sample C, we found for compound
4 peaks whose accurate mass data were in accordance with the monohydroxylated
and dihydroxylated metabolites (Table ). Moreover, as expected, we did not identify the same
metabolites in samples C1 and C2, confirming the fundamental role
of CYP450 in phase I metabolism.
Table 3
List of Metabolites of 4 with Chromatographic Retention Times, Calculated Accurate Masses
(m/z M + H+), Identified
Accurate Masses (m/z M + H+) in Samples, Chemical Formulas, and Structures
We confirmed the structures of 4 and
its metabolites
that were found in sample C by interpreting the MS and MS2 spectra
of each chromatographic run. Following the criteria proposed by Schymanski
et al.,[48] the metabolites identified are
to be considered as “probable structures” (level 2b)
or “tentative candidates” (level 3). Figure reports extracted ion chromatograms
for the putative metabolites. The different retention times of the
hydroxy of 4 indicate that there may have been modifications
to different parts of the molecule.
Figure 8
Extracted ion chromatograms of identified
metabolites of 4 in sample C after incubation (time point
2 h).
Extracted ion chromatograms of identified
metabolites of 4 in sample C after incubation (time point
2 h).The interpretation of the fragmentation spectra,
in both positive
and negative ionization, shows that monohydroxylation occurs most
probably on phenol ring C (Figures S9–S10). For instance, in the negative ion mode, for hydroxylated metabolites
of compound 4, we found the fragment ions at m/z 256 (rings B and C, after breaking
at the CO–NH bond) but at m/z 240 for the parent compound. The MS2 spectra in the positive ion
mode show that the hydroxyl cannot be on the isopropyl group because
the main fragments are those originating from its loss (ion 376 for
hydroxylated metabolites and 360 for the parent compound). However,
it cannot be excluded that the hydroxyl can be inserted on the methyl
group or another position of phenyl ring B.The modifications
involving the second hydroxylation and the hydrogenation
on the hydrogenated-dihydroxylated metabolite occur most probably
on the 3-hydroxypyrazol[1,5-a]pyridine ring A because
ions 177 and 195 are present in its positive MS2 spectrum, while ion
161 is present on the parent compound and on the monohydroxylated
metabolites (Figures S7–S11).An examination of the results for compound 4, which
had undergone P-450-mediated biotransformation for an incubation period
of 2 h, highlighted that compound 4 is relatively stable
at short-term collection (89% of compound at 15 min), but it is not
completely stable at 120 min when 53% of compound 4 was
recovered. A study of compound 4 metabolic stability
showed a weakness with the half-life around 120 min, inferior of those
of MEDS433 (93% of the compound is still present at 120 min), and
this could explain its lower efficacy in vivo compared to the lead
MEDS433.
Chemistry
Synthesis of the Target Compounds 2–20
We have already detailed the synthetic strategies used to produce
the 2-aryloxypyrazolo[1,5-a]pyridine building blocks 20 and 31,[38,39,49] which are useful in the syntheses of target compounds 3–19. Compounds 21–30 were prepared from the acyl
chloride of acid 20, obtained via treatment with oxalyl
chloride and used directly after drying without further purification.
Different from the MEDS433 series,[39] the
acyl chloride was allowed to react directly with the corresponding
anilines 39–48 (the synthesis of
anilines is described in the Supporting Information) without any form of activation using pyridine as a base/acyl transporter.
The desired amides 21–30 were obtained in the
50–92% yield range. Moving forward, compounds 21–30 were then converted to desired target compounds 3–5,
11–16, and 19 by applying room-pressure
catalytic hydrogenation.A similar approach was applied to the
synthesis of compounds 6–10 and 17–18, starting from acid 31 (see Scheme , the synthesis of
anilines is described in the Supporting Information). The desired amides 32–38 were obtained in
the 61–94% yield range. The projected synthetic pathway was
not planned to be stereospecific, so in every precursor step, the
racemic mixture was always obtained. 1H NMR spectra of
initial compounds 34 and 36 show a peculiar
pattern: due to the diastereotopic effect associated to the presence
of a stereocentre, a geminal coupling between chemically non-equivalent
methylene protons was observed (Figures S12–S14).
Scheme 2
Synthetic Methodologies for the Synthesis of Targets
6–10
and 17–18: (i) Oxalyl Chloride, Dry DMF, Dry THF, Nitrogen
Atmosphere; (ii) Dry Toluene, Dry Pyridine, Corresponding Aniline,
r.t.; (iii) H2, Pd/C, Dry THF or Thioanisole, Trifluoroacetic
Acid, 70 °C
Moving forward, the choice of a 4-methoxybenzyl
protection the
hydroxypyrazolo[1,5-a]pyridine moiety allowed us
to investigate deprotection condition different from catalytic hydrogenation,
in some occasion cause of issues. The 4-methoxybenzyl protecting group
can be easily removed in acidic conditions, a protocol also applicable
to molecules containing sulfur atoms and a pyridine ring, both known
to poison the metal catalyst during hydrogenation. By treatment with
trifluoroacetic acid (TFA) in the presence of thioanisole as a scavenger
of compounds 32–38, the desired targets 6–10 and 17–18 are
obtained in 30–98% yield range.
Conclusions
In this work, we keep focusing on investigating
the SAR of a novel
class of hDHODH inhibitors that are based on an unusual
carboxylic group bioisostere 2-hydroxypyrazolo[1,5-a]pyridine. Starting from compound 1, characterized by
a diphenylether scaffold and a safety profile superior to brequinar’s Phase I/II, we identify compound 4, which
performed better than brequinar and better than lead 1 as a pro-differentiating and pro-apoptotic agent, recovering a weaker
enzymatic potency by a higher logD7.4.
While increasing its efficacy compared to 1, it retained
a better cytotoxicity profile than brequinar: CC50 >
100
μM for 4 versus 48 μM for brequinar. In our
opinion, compound 4 is a good candidate because it presented
in vivo efficacy on the xerograph model of AML. Although poor, its
solubility of 6 μM is superior to that of Phase II BAY2402234
(pH 7, solubility <4 μM).[44] A
study of compound 4 metabolic stability showed a weakness
with the half-life around 120 min, inferior of those of MEDS433, and
this could explain its lower efficacy in vivo compared to the lead
MEDS433; the in vivo activity on a xerograph model of AML was first
released. Compound 4 represents a valuable new scaffold
that could be a source of optimized compounds with low toxicity: the
steps of removing its metabolic weakness and the increase of the solubility
will be our next step in close future.We can conclude that
members of this class of hDHODH inhibitors as MEDS433
and 4 are characterized
by a strong antileukemic activity and an optimal toxicity profile
performing similar to that of other competitors that are already undergoing
clinical trials. Moreover, the synergy between hDHODH
inhibitors and hENT1/2 blockers was confirmed also with these new
compounds, paving the way for in vivo applications.
Experimental Section
General Methods
All chemical reagents were obtained
from commercial sources (Sigma Aldrich, Alfa Aesar, FluoroChem) and
used without further purification. Analytical-grade solvents [acetonitrile,
diisopropyl ether, diethyl ether, dichloromethane (DCM), dimethylformamide
(DMF), ethanol 99.8% v/v, ethyl acetate (EtOAc), hexane, methanol
(MeOH), petroleum ether b.p. 40–60 °C (petroleum ether),
toluene] were used without further purification. When needed, solvents
were dried over 4 Å molecular sieves. Tetrahydrofuran (THF) was
distilled from Na and benzophenone under N2 immediately
prior to use. Thin-layer chromatography (TLC) was conducted on silica
gel on 5 × 20 cm plates at a 0.25 mm layer thickness. Anhydrous
Na2SO4 was used as a drying agent for the organic
phases. Compound purification was achieved either using flash column
chromatography on silica gel (Merck Kieselgel 60, 230–400 mesh
ASTM) and the eluents indicated in the procedures for each compound
or using a CombiFlash Rf 200 (Teledyne Isco) with 5–200 mL/min,
200 psi (with an automatic injection valve), and RediSep Rf Silica
columns (Teledyne Isco), with the eluents indicated in the procedures
for each compound. Compounds synthesized in our laboratory generally
varied between 90% and 99% purity.Biological experiments were
performed on compounds with a purity of at least 95%. Purity was checked
using two ultra-high-performance liquid chromatography (UHPLC) analytical
methods. HPLC analyses were performed on a UHPLC chromatographic system
(Perkin Elmer, Flexar). The analytical columns were an UHPLC XSelect
CSH Fluoro-Phenyl (3 × 75 mm, 2.5 μm particle size, Waters)
and an XSelect HSS C18 column XP (3 × 75 mm, 2.5 μm particle
size). Compounds were dissolved in methanol and injected through a
20 μL loop. The mobile phase consisted of methanol/water with
0.1% trifluoroacetic acid (ratio between 60/40 and 40/60, depending
on the compound’s retention factor).UHPLC retention
times were obtained at flow rates of 0.5 mL/min,
and the column effluent was monitored at 230, 254, 300, and 336 nm,
referenced against a 400 nm wavelength. Melting points (mp) were measured
on a capillary apparatus (Büchi 540). Final mp determination
was achieved by placing the sample at a temperature that was 10 °C
below the mp and applying a heating rate of 1 °C min–1. All compounds were routinely checked by 1H- and 13C NMR and mass spectrometry. The IR spectra of solid compounds
were recorded by FT-IR (PerkinElmer SPECTRUM BXII, KBr dispersions)
using the diffuse reflectance apparatus DRIFT ACCY. MS spectra were
recorded on a Waters Micromass ZQ equipped with an ESCi source for
electrospray ionization mass spectra. 1H- and 13C NMR spectra were performed on a JEOL ECZR600. The following abbreviations
are used for coupling patterns: br = broad, s = singlet, d = doublet,
dd = doublet of doublets, t = triplet, q = quartet, m = multiplet.
Chemical shifts (δ) are given in parts per million (ppm). In
this work, protons and carbons are labeled (a, b, c, d, e, f, g, h,
l, m, n, o, p, q, r, and s) according to Scheme . Values marked with an asterisk (*, **,
and ***) are interchangeable. For the final compounds 3–19, HRMS spectra were recorded on an LTQ-Orbitrap XL Plus (Thermo Scientific,
Bremen, Germany) mass spectrometer, equipped with an atmospheric pressure
interface and an ESI ion source instrument. Compounds 21, 32, some anilines (Supporting Information), and key reactions were performed according to
previously described procedures.[38,50−52]
Scheme 1
Synthetic Methodologies for the Synthesis of Targets 3–5, 11–16, and 19: (i) Nitrogen Atmosphere,
Oxalyl Chloride, Dry DMF, Dry THF; (ii) Dry Toluene, Dry Pyridine;
Corresponding Aniline, r.t.; (iii) H2, Pd/C, Dry THF
General Procedure for the Synthesis of Pyrazolo[1,5-a]pyridine-Related Amides (21–38)
Oxalyl chloride (1.75 mL, 3.5 mmol) and dry DMF (7 μL) were
added to a cooled (0 °C) solution of 21 (1.0 mmol)
in dry THF (15 mL) under a nitrogen atmosphere. The reaction mixture
was stirred for 2 h at room temperature under a nitrogen atmosphere
and then concentrated under reduced pressure. The residue was dissolved
in dry THF (10 mL), and the solution was again concentrated; this
step was repeated three times. A solution of the appropriate aniline
(40–49, 1.00 mmol) and dry pyridine
(3.0 mmol) in dry toluene (5 mL) was added dropwise to the solution
of the above acyl chloride in dry toluene (15 mL) kept under a nitrogen
atmosphere. The resulting mixture was stirred at room temperature
overnight and then cooled to room temperature and evaporated under
reduced pressure.[53] Only for compounds 21–23 and 26, 0.5 M HCl (25
mL) was added after room cooling the toluene solution for quenching.
The layers were resolved. The aqueous phase was further extracted
with EtOAc (3 × 50 mL). The combined organic layers were washed
with brine, dried over Na2SO4, and evaporated
under reduced pressure. The crude material was purified using flash
chromatography (details in each specific recipe).
General Procedure for the Synthesis of Pyrazolo[1,5-a]pyridine-Related Amides 32–36
Oxalyl chloride (1.75 mL, 1.5 mmol) and dry DMF (10 μL) were
added to a cooled (0 °C) solution of 31 (1.2 mmol)
in dry THF (15 mL), kept under a nitrogen atmosphere. The reaction
mixture was stirred for 2 h at room temperature under a nitrogen atmosphere.
The solution was concentrated under reduced pressure, and the residue
was dissolved in dry THF (10 mL); this step was repeated three times.
A solution of the appropriate aniline (1.00 mmol) and dry pyridine
(3.60 mmol) in dry toluene (5 mL) was added to the solution of the
above acyl chloride in dry toluene (10 mL), kept under a nitrogen
atmosphere. The resulting mixture was stirred at room temperature
overnight and then quenched with 0.5 M HCl (25 mL). The layers were
resolved, the aqueous phase was further extracted with EtOAc (3 ×
50 mL), and the combined organic layer was dried and evaporated under
reduced pressure. The crude material was purified using flash chromatography.
Oxalyl
chloride (201 μL, 2.35 mmol, 3.6 equiv) and dry DMF (7 μL)
were added to a cooled (0 °C) solution of 31 (0.783
mmol, 1.2 equiv) in dry THF (15 mL) under a nitrogen atmosphere. The
reaction mixture was stirred for 2 h at room temperature under a nitrogen
atmosphere. The solution was concentrated under reduced pressure,
and the residue was dissolved in dry THF (10 mL); this step was repeated
three times. A solution of aniline 54 (0.652 mmol, 1.0
equiv) and dry pyridine (2.347 mmol, 3.6 equiv) in dry toluene (5
mL) was added to the solution of acyl chloride under a nitrogen atmosphere.
Due to the partial insolubility of 54 in dry toluene,
5 mL of dry THF was added. The resulting mixture was stirred at room
temperature for 12 h and then at 70 °C overnight. The mixture
was then quenched with 0.5 M HCl (25 mL). The layers were resolved,
the aqueous phase was further extracted with EtOAc (3 × 50 mL),
and the combined organic layer was dried and evaporated under reduced
pressure. The crude material was purified using a flash chromatography
eluent (from petroleum ether/EtOAc 70/30 v/v to DCM/methanol 80/20
v/v) to afford the title compound as a white solid (melting point:
205.0–205.8 °C from diisopropyl ether). Yield 80%. 1H NMR (600 MHz, chloroform-d): δ 1.77
(s, 3H, Ar-CH3), 2.34 (s, 3H, Ar-CH3), 3.84 (s, 3H, −OCH), 5.48 (s, 2H, −OCHPh), 6.81 (d, 2H, J = 5.7 Hz, aromatic proton), 6.90 (t,
1H, J = 6.9 Hz, H-b), 6.94 (d, 2H, J = 8.4 Hz, H-n), 7.24 (s, 1H, aromatic protons), 7.40 (t, 1H, J = 7.9 Hz, H-c), 7.47 (d, 2H, J = 8.4 Hz, aromatic
protons), 8.28 (d, 2H, J = 5.5 Hz,
aromatic protons), 8.31–8.36 (m, 2H, aromatic protons), 8.51
(s, 1H, aromatic proton), 8.62 (s, 1H, −NH); 13C NMR (151 MHz chloroform-d): δ
16.8 (Ar-CH3), 20.7 (Ar-CH3), 55.5 (−OCH2Ph),
72.6 (−OCH2Ph), 91.1 (C-f), 113.1 (C-b), 114.3, 118.9 (C-d), 120.1, 121.0, 122.5, 125.3, 127.4, 127.9 (C-a), 128.8 (C-c), 131.4, 138.5, 139.4, 141.9, 143.1
(C-e), 149.4, 150.9, 160.5, 161.4, 162.4; MS (ESI):
511 (M + 1).
Oxalyl
chloride (198 μL, 2.23 mmol, 3.60 equiv) and dry DMF (7 μL)
were added to a cooled (0 °C) solution of 31 (0.743
mmol, 1.20 equiv) in dry THF (15 mL) under a nitrogen atmosphere.
The reaction mixture was stirred for 2 h at room temperature under
a nitrogen atmosphere. The solution was concentrated under reduced
pressure, and the residue was dissolved in dry THF (10 mL, this step
was repeated three times). The resulting acyl chloride was dissolved
in dry toluene (10 mL). A solution of aniline 55 (0.619
mmol, 1.0 equiv) and dry pyridine (2.228 mmol, 3.60 equiv) in dry
toluene (5 mL) was added to the solution of acyl chloride under a
nitrogen atmosphere. The resulting mixture was stirred at room temperature
overnight. The mixture was quenched in water (80 mL) and partially
concentrated under reduce pressure. The aqueous phase was extracted
with EtOAc (3 × 50 mL). The combined organic layers were dried
and evaporated under reduced pressure. The crude material was purified
using flash chromatography (eluent: petroleum ether/EtOAc 50:50 v/v)
to afford the title compound as a white solid (melting point: 190.1–190.9
°C from diisopropyl ether). Yield 80%. 1H NMR (600
MHz, chloroform-d): δ 0.94 (d, 6H, J = 6.7 Hz, −CH(CH)2), 2.11 (s, 3H, −CH), 2.70 (hept, 1H, J = 6.7
Hz, −CH(CH3)2), 3.82
(s, 3H, −OCH3), 5.49 (s, 2H, −OCHPh), 6.74 (d, 2H, J = 4.3 Hz, aromatic protons), 6.83 (s, 1H, aromatic proton),
6.88 (t, 1H, J = 6.8 Hz, H-b), 6.95
(d, 2H, J = 8.4 Hz, H-n), 7.38 (t,
1H, J = 7.9 Hz, H-c), 7.47 (d 2H, J = 8.4 Hz, H-m), 8.13 (s, 1H, aromatic
proton), 8.31–8.36 (m, 2H, aromatic protons), 8.41 (d, 2H, J = 4.7 Hz, aromatic protons), 8.55 (s,1H, −NH). 13C NMR (151 MHz, chloroform-d): δ 15.9 (Ar-CH3), 22.6 (−CH(CH3)2), 27.8 (−CH(CH3)2), 55.5 (−OCH3), 72.4 (−OCH2Ph),
91.0 (C-f), 111.3, 112.9 (C-b),
114.3, 118.3, 119.0 (C-d), 126.1, 127.6, 127.7 (C-a), 128.3, 128.7 (C-c), 131.1, 132.9,
138.3, 143.2 (C-e), 148.1, 151.4, 160.4, 161.6, 162.5,
165.2. MS (ESI): 523 (M + 1).
General Hydrogenation Procedure for Target Compounds 3–16 and 19
Palladium on carbon (10% w/w Pd/C,
45 mg) was added to a solution of the appropriate amide (compounds 22–31 and 34–38, 0.300 mmol) in dry THF (15 mL). The resulting mixture
was vigorously stirred under a hydrogen atmosphere for 3 h. The suspension
was filtered through celite, and the cake was washed with methanol.
The filtrate was concentrated under reduced pressure, providing a
solid that, when necessary, was further purified by flash chromatography.
General procedure for the Synthesis of Compounds 17 and 18
Thioanisole (10.0 equiv) was added
to a solution of the respective protected amide 37 and 38 (1.0 equiv) in TFA (4 mL). The mixture was heated at 70
°C for 4 h and then cooled to r.t.. The mixture was partially
concentrated, and the crude was taken up with phosphate saline buffer
pH = 5, giving a suspension that was filtered. The solid so obtained
was triturated with water and then with hexane to afford the title
compounds in the pure form.
The X-ray structure of hDHODH in complex with MEDS433 (PDB code 6FMD)[38] was downloaded from the Protein Data Bank[54] and used for docking studies. Prior to docking, the protein
loop corresponding to residues 217–225, which was unresolved
in the X-ray structure, was automatically reconstructed by using Modeller
software.[55] Docking calculations were performed
with GOLD software[56] using the ChemScore
fitness function. The region of interest for the docking calculations
included all residues which stayed within 10 Å from the bound
ligand in the reference X-ray structures. Compounds 1–19 were subjected to 100 genetic algorithm runs, in which the “allow
early termination” option was deactivated, while the possibility
for the ligand to flip ring corners was activated. All other settings
were left as their defaults. The rmsd threshold for pose clustering
was set to 2.0 Å. The best docked conformation belonging to the
best cluster of solutions was considered for each ligand in each docking
study.
Molecular Dynamics Simulations
All MD simulations were
carried out with AMBER 16 using ff14SB force field for the protein,
while GAFF (General Amber force field) was used for the cofactors
(flavin mononucleotide and orotic acid) and the different ligands,
whose partial charges were calculated using the AM1-BCC method through
the antechamber suite of AMBER16. The 19 ligand–protein complexes
generated by docking, as well as the reference hDHODH-MEDS433 complex,
were included in a parallelepiped box and solvated with a 15 Å
water cap using the TIP3P explicit solvent model, while chloride ions
were added for the neutralization of the systems. Prior to the MD
simulations, a two-stage minimization protocol was used for each complex.
A 5000 steps minimization, including 2000 steps of steepest descent
(SD), followed by 3000 steps of conjugate gradient (CG), was initially
performed. In this stage, a position restraint of 100 kcal/mol·Å2 was applied on all receptors, cofactors, and ligand heavy
atoms in order to uniquely minimize the positions of the water molecules
and the orientation of rotatable polar hydrogens. A second minimization
stage including 5000 total steps of SD/CG algorithms was then performed
applying a harmonic potential of 10 kcal/mol·Å2 only to the protein α-carbons, thus energy-minimizing the
entire system. The energy-minimized systems were used as inputs for
an MD simulation protocol adapted from previous studies,[57,58] in which particle mesh Ewald (PME) electrostatics and periodic boundary
conditions were used, with a cutoff of 10 Å for the non-bonded
interactions. A time step of 2.0 fs was employed in the simulations
since all bonds involving hydrogen atoms were kept fixed using SHAKE
algorithm. For each complex, a constant volume MD simulation was carried
out for the first 0.5 ns, during which the temperature of the system
was increased from 0 to 300 K. The system was then equilibrated through
3 ns of constant-pressure simulation, which was carried out keeping
the temperature at the constant value of 300 K by using a Langevin
thermostat. Finally, an additional constant-pressure MD simulation
stage of 46.5 ns was performed for each system for a total MD simulation
time of 50 ns. In all MD stages, a harmonic potential of 10 kcal/(mol·Å2) was applied to the protein α-carbons. All the obtained
MD trajectories were analyzed using the Cpptraj program implemented
in AMBER 16.
Binding Energy Evaluations
The evaluation of the binding
free energy associated with the 19 ligand–protein complexes
analyzed through MD simulations was carried out using AMBER 16, as
previously described.[57] The trajectories
relative to the last 20 ns of each simulation were extracted and used
for the calculation for a total of 200 snapshots (at a time interval
of 100 ps) since the binding conformation of each analyzed ligand
was found to be sufficiently stable in this time interval, which well
represented the system along the entire MD simulation (Table S1). van der Waals electrostatic and internal
interactions were calculated with the SANDER module of AMBER 16. MOLSURF
program was employed to estimate the non-polar energies, while polar
energies were calculated using the Poisson–Boltzmann (PB) methods
with the MM-PBSA module of AMBER 16.[59,60] A dielectric
constant of 80 was used to represent the water phase in all calculations.
For the gas phase, 10 different values of dielectric constant were
used, ranging from 1 to 10. A total of 10 different binding free-energy
evaluations were thus performed for each of the analyzed ligand–protein
complexes.
Enzymatic Assays
Protein Expression and Purification
BL21DE3-Gold (DE3)
E. coli cells were transformed using the plasmid construct pFN2A–truncated hDHODH (31-395) (kindly given by Department of Oncology,
University of Turin, Turin). The vector produces hDHODH as an N-terminal GST-fusion protein. Cells
were grown at 37 °C in LB medium in the presence of ampicillin
(0.1 mg/mL) and supplemented with 0.1 mM flavin mononucleotide (Cayman
Chemical). After 20 h of growth, cells were induced with 0.8 mM isopropyl-d-thiogalactopyranoside at an OD600 of 0.5–0.7 at 28
°C for an additional 6 h. A cell pellet from 250 mL of culture
was lysed in 20 mL of PBS (50 mM Na2HPO4, 50
mM NaH2PO4, 500 mM NaCl), which had been supplemented
with 24 mg of lysozyme and 0.2% v/v protease inhibitor cocktail, incubated
for 30 min over ice, and disrupted by sonication (total sonication
time: 8 min with On/Off cycles of 10”/50″). Triton X-100
was added to the lysate to a final concentration of 1% before centrifugation
at 14,000g for 40 min at 4 °C. The clarified
supernatant was incubated with DNase I for 30 min at room temperature,
supplemented with 2 mM dithiothreitol (DTT), and filtered through
a 0.45 μm syringe filter as previously described by Sainas et
al.[38] The GST-fused enzyme
was purified from the bacterial lysate using affinity chromatography
on immobilized glutathione-sepharose columns (GE-HiTrap Protein G
HP 1 mL). The GST tag was not cleaved for further analysis. All the
reagents used in the protein expression and purification were supplied
by Merck/Sigma-Aldrich if not otherwise specified.
hDHODH Inhibition Assay
The enzymatic
inhibition assay was optimized for being performed on a 96-well plate
and to achieve a higher throughput. For each well of the plate, a
total volume of 200 μL was used: 5 μL of purified GST-hDHODH, 60 μL of 2,6-dichloroindophenol (DCIP) 500
μM, 20 μL of coenzyme Q10 enzyme 100 μM, 20 μL
of dihydroorotate (DHO) 500 μM, and Tris–HCl pH 8 up
to a final volume of 200 μL. Inhibitory activity was assessed
by monitoring the reduction of DCIP, which is associated with the
oxidation of dihydroorotate as catalyzed by the DHODH enzyme. The
enzyme was pre-incubated for 5 min at 37 °C in Tris–HCl
pH8 with coenzyme Q10, with DCIP (50 μM) and with the compounds
to be tested used at different concentrations (final DMSO concentration
0.1% v/v). The reaction was initiated by the addition of DHO (500
μM), and the absorbance kinetic reduction was monitored at λ
= 650 nm using a multi-plate reader (Tecan, M1000Pro). In order to
assess the minimum and maximum absorbance values of the enzymatic
reaction, a Min control value was obtained by measuring the absorbance
without DHO. Similarly, a Max value was obtained by measuring the
absorbance with DHO but no inhibitor. A blank reduction calculation
was also performed by measuring the absorbance values using 180 μL
of Tris–HCl and 20 μL of coenzyme Q10. The absorbance
values were read every 10 s for a total read time of 10 min at 37
°C. The initial rate was measured in the first 5 min (ε
= 10 400 M–1 cm–1) and an IC50 value was calculated[41] using
GraphPad Prism 7 software. Values are means ± SE of three independent
experiments.
Cell-Based Assays
Cell Lines and Drugs
The AML human cell lines THP1
(acute monocytic leukemia), MV4-11 (acute monocytic leukemia), U937
(acute pro-monocytic leukemia), and Jurkat (T-cell leukemia) were
cultured in complete RPMI 1640 (Invitrogen Life Technologies, Gaithersburg,
MD), supplemented with 10% heat-inactivated fetal bovine serum (FBS)
and 1% penicillin/streptomycin (GIBCO, Invitrogen, Milan, Italy).
Dipyridamole (Persantin, Boehringer Ingelheim, Germany) was purchased. hDHODH inhibitors were solubilized in DMSO (Sigma-Aldrich,
Milan, Italy), and final dilutions of the drugs were made in the culture
medium.
CFSE-Based Cytotoxic Activity Assay
Briefly, the Jurkat
cell line was incubated with 1 μM carboxyfluorescein diacetate
succinimidyl ester dye (CFSE, Vybrant CFDA SE cell tracer kit; Molecular
Probes, Invitrogen Carlsbad, CA) at 107/ml for 20 min at
37 °C. At the end of the labeling process, cells were resuspended
and washed in RPMI 1640 supplemented with 1% fetal bovine serum. Cells
were then resuspended in RPMI 1640 supplemented with 10% FBS and incubated
for 20 min at 37 °C. Cells were centrifuged and plated (1 ×
104 in 200 μL of medium), with increasing concentrations
of the hDHODH inhibitors (1 μM to 100 μM)
for 3 days. Cells were harvested, and 1 μg/mL of propidium iodide
was added to assign the ratio of cell death. The percentage of specific
lysis was calculated in accordance with the following equation: [dead
targets in sample (%) – spontaneously dead targets (%))/(100-spontaneously
dead targets (%))] × 100. Spontaneous lysis was obtained by incubating
cell lines in the medium supplemented with the corresponding percentage
of DMSO used for the dilution of compounds. Values represent the concentration
that induces significant cytotoxic effects (≥30%).
Annexin Assay
For the determination of EC50, 1 × 104 THP1 or U937 cells were plated in 96-well
round-bottom plates and treated with increasing doses of hDHODH inhibitors from 0.1 μM to 50 μM. For drug combinations,
1 × 10[4] THP1 or MV4-11 cells were
plated in 96-well round-bottom plates and treated with hDHODH inhibitors at 0.1 μM or 1 μM, dipyridamole 1.0
μM, and uridine (5 μM Merck, Milan, Italy) in a volume
of 200 μL of medium for 3 days. After 3 days of culture, the
apoptotic assay was performed using the Annexin V-FITC Kit (Miltenyi
Biotec, Italy), according to the manufacturer’s instructions.
The apoptotic cells were acquired on FacsVerse and analyzed using
Kaluza software version 1.2 (Beckman Coulter Fullerton, CA).
Differentiation Assay
For the determination of EC50, 1 × 104 THP1 or U937 cells were plated
in 96-well round-bottom plates and treated with increasing doses of
the hDHODH inhibitors from 0.1 to 50 μM. For
drug combinations, 1 × 104 THP1 cells were plated
in 96-well round-bottom plates and treated with hDHODH inhibitors at 0.1 μM or 1 μM and dipyridamole 1.0
μM in a volume of 200 μL of medium for 2 days. The differentiation
pathway was monitored by analyzing the expression of CD11b (APC-conjugated
BD Bioscience San Jose, CA, USA) or CD14 (APC-conjugated Beckam Coulter
CA, USA) via flow cytometry analysis. Cells were washed and resuspended
in the staining buffer [phosphate-buffered saline (PBS), 2% bovine
serum albumin, 1 mM EDTA] and incubated with antibodies at 4 °C
for 45 min. Samples were acquired on an FACSVerse (BD-Biosciences
San Jose CA) and dead cells were excluded from the analyses, according
to the use of propidium iodide (Sigma-Aldrich, Milan, Italy). Data
were processed using Kaluza software version 1.2 (Beckman Coulter
Fullerton, CA).
Statistical Analysis
Statistical analyses were performed
on Prism software, version 5.0 (GraphPad Software, San Diego, CA).
Data are reported as means ± SD. For the determination of EC50, a nonlinear regression model was applied. For multiple
comparisons, one-way ANOVA tests were performed and combined with
Tukey’s tests post hoc analyses. Moreover, in this case, a
p-value < 0.05 was considered significant.For in vivo study,
group comparisons were made using two-way ANOVA tests, followed by
Tukey’s tests post hoc analyses. A p-value
< 0.05 was considered significant.AML xenograft
mouse model THP1 (2×106 cells per mouse)
were resuspended in 100 μL of PBS
and injected subcutaneously on the left flank of 8 week old female
NOD/SCID/γ chain–/– (NSG) immunocompromised mice
(n = 4 per group, Charles River Laboratories, Calco,
Italy). Mice were randomized into control or treated groups when the
volume of the masses reached approximately 0.2 cm3 and
were palpable. Mice were treated intraperitoneally for 13 consecutive
days with the vehicle (10% DMSO and 90% corn oil from Merck, Milan
Italy), MEDS433 20 mg/kg, or compound 20 mg/kg. Tumor sizes were regularly
measured twice weekly with a caliber, and the tumor volume was calculated
as V = 1/2 × (length × width2). Mice were treated following the European guidelines and with the
approval of the Italian Ministry of Health (Authorization n. 42/2020-PR).
Mice were treated once daily and euthanized 24 h after the last administration.
At the end of the experiment, tumors were excised to determine their
weight and volume.
Chemophysical Profiling; Solubility Assay at pH 7.4
Solubility was assayed in PBS: 12 mM with NaCl 137 mM and KCl 2.7
mM, pH 7.4. Each solid compound (1 mg) was added to 1 mL of PBS. The
samples were shaken in an orbital shaker at 25 °C for 24 h. These
suspensions were filtered through a PTFE 0.45 μm filter (VWR),
and the solutions were chromatographically analyzed using a Perkin
Elmer UHPLC instrument, equipped with a reverse-phase (RP) C18 Phenomenex
column (2.1 × 100 mm, 1.7 μm particle size). Gradient elution:
the ratio of eluents A and B (0.1% trifluoroacetic acid in water and
0.1% trifluoroacetic acid in acetonitrile, respectively) changed linearly
from 60% A–40% B to 0% A–100% B in 12 min, followed
by 5 min in isocratic elution at 100% of eluent B and then 4 min in
equilibration elution to reset the starting conditions. The flow rate
was 0.5 mL/min. The standard injection volume was either 2 or 4 μL
for poorly soluble compounds. The detection system was a Perkin Elmer
diode-array detector. The wavelengths that were monitored for each
compound were defined according to the compound’s own absorption
spectrum. Solubility, expressed as μM concentration of the saturated
solution, was calculated via interpolation with external calibration
curves that were obtained with solutions of each compound in acetonitrile.
Clog P and log D (pH 7.4)
Clog P values were calculated using the Bio-Loom
program for Windows, Version 1.5 (BioByte). The partition coefficients
between n-octanol and PBS at pH 7.4 (log D7.4) were obtained using the shake-flask technique
at room temperature. In the shake-flask experiments, 50 mM of PBS
pH 7.4 was used as the aqueous phase. The organic (n-octanol) and aqueous phases were mutually saturated by shaking for
4 h. The compounds were solubilized in the buffered aqueous phase
at the highest concentration compatible with solubility, and appropriate
amounts of n-octanol were added. The two phases were
shaken for about 20 min, by which time the partitioning equilibrium
of solutes had been reached, and then centrifuged (10,000 rpm, 10
min). The concentration of the solutes was measured in the aqueous
phase using a UV spectrophotometer (Varian Cary 50BIO); absorbance
values (recorded for each compound at the wavelength of maximum absorption)
were interpolated in calibration curves obtained using standard solutions
of the compounds (r2 > 0.99). Each
log D value is an average of at least six measurements.
Protein Expression, Purification, and Crystallization
The Open Reading Frame of a N-terminal truncated version of hDHODH (Met30-Arg396) was subcloned into a pET-19b (GenScript)
expression vector using NdeI/BamHI recognized sequences as restriction
sites. The vector allows the inducible production of a N-terminal
His-tagged protein exploiting E. coli BL21(DE3) (Novagen) as the expression system. By applying standard
techniques, an aliquot of E. coli BL21(DE3)
was transformed with the target construct and grown on an agar plate
for 12 h at 37 °C. The bacterial culture was then inoculated
in 1 L of 2xYT medium in the presence of ampicillin (50 μg/mL)
and grown at 37 °C/200 rpm to OD600 = 0.7. The expression
of the recombinant protein was induced with the addition of 0.2 mM
isopropyl-1-thio-d-galactopyranoside, and cells were further
incubated at 16 °C/200 rpm for 21 h. Cells were harvested by
centrifugation at 6000 rpm at 4 °C for 10 min. 7 g of wet cells
was resuspended in 70 mL of lysis buffer [50 mM HEPES pH 7.8, 300
mM NaCl, 10% v/v glycerol, 0.25% (w/v) UDAO] supplemented with complete
EDTA-free protease inhibitor cocktail (Merck) and DNAse. Cells were
lysed with a Sonics Vibra-Cell VC 130 Ultrasonic Homogenizer (Strokes:
10; Pulse: 30”; Stop: 1’; Amplitude: 45). The lysate
was centrifuged at 17,000 rpm for 45 min at 4 °C (Beckman Coulter
Avanti Centrifuge J-26 XP), and the cleared cell lysate was loaded
onto a 2 mL Qiagen Ni-NTA Agarose column pre-equilibrated with lysis
buffer. After washing the resin with 20 CV of the wash buffer (lysis
buffer supplemented with 50 mM imidazole), the protein was eluted
with the elution buffer (lysis buffer supplemented with 300 mM imidazole).
The eluted fractions were checked on SDS-PAGE, and all positive fractions
were pooled and concentrated using an Amicon 15-30000 MWCO centrifugal
concentrator (Merck). The concentrated protein was loaded onto a Hiload
Superdex 200 16/600 (GE Healthcare) column, pre-equilibrated with
a size exclusion buffer [100 mM HEPES pH 7.0, 400 mM NaCl, 10% (v/v)
glycerol, 1 mM EDTA, 0.25% (w/v) UDAO]. Size exclusion chromatography
resulted in a single well-defined peak at the elution volume consistent
with the monomeric structure in solution. The aliquots corresponding
to the elution peak measured at 350 and 442 nm wavelengths were concentrated
using an Amicon 15-30000 MWCO up to 10 mg/ml. Protein quantification
was performed by Bradford assay in a calibrated system with a Savatec
Onda spectrophotometer UV-21.For crystallization assay, the
purified protein was mixed with orotate (ORO) and inhibitor 4 to reach the final concentration of 2 mM for both ligands
(the hDHODH inhibitor was added starting from stock
solutions of 50 mM in 100% DMSO) and subsequently incubated at 4 °C
for 1 h.1 L of protein-inhibitor complex was mixed
with 1 L of a reservoir solution consisting of
0.2 M KBr, 0.2 M KSCN, 0.1 M sodium acetate pH 5.0, 25–35%
(v/v) PEG 400, and 2–5% (v/v) PGA-LM (Molecular Dimension Limited)
undergoing crystallization trials by means of the sitting drop vapor
diffusion method at 20 °C. After 1 week, some small needle-shaped
crystals grew in drops and these were used as seeds for optimizing
the crystallization process that allowed, after 3 months, to obtain
single crystals suitable for X-ray diffraction under the conditions
of 2 M ammonium sulfate, 100 mM sodium acetate pH 4.8, and 30% v/v
glycerol. Crystals were then flash-frozen in liquid nitrogen and underwent
X-ray diffraction experiments.
X-ray Data Collection, Structure Determination, and Refinement
X-ray diffraction data were collected at the European Synchrotron
Radiation Facility (ESRF), France, on beamline ID23-2.[61] The data were indexed using XDS program; then
they were integrated and scaled to a resolution of 1.85 Å using
the Aimless utilities of the CCP4 Program Suite version 7.1.018.[62] The structure was determined by molecular replacement
with phenix-PHASER[63] using the structure
of DHODH from 2PRH PDB as a search model. Manual model building was
performed with Coot program,[64] and figures
were generated with PyMol.[65]Data
collection and refinement statistics are listed in the Table S6. The atomic coordinates of compound 4 in complex with hDHODH have been deposited
in −the Protein Data Bank under accession code 7Z6C.
In Vitro Metabolic Behavior
Incubation Conditions of Rat Microsomes and Sample Preparation
Rat-liver microsomes (Sprague–Dawley, male, Sigma-Aldrich;
20 mg/mL protein concentration) were incubated with the candidate
compound solution (5 μM final concentration, with 1% DMSO) and
TRIS buffer (0.1 M, pH = 7.4). The regenerating system, which slowly
generated coenzyme units over the incubation time, leading to a better
reproduction of in vivo behavior, was composed of MgCl2 (3.3 mM), NADP+ (1.3 mM), Glu6P (3.5 mM), and Glu6Pdehydrogenase
(0.5 U/mL). In addition to the compound sample (“C”)
which was incubated with active microsomes and the regenerating system,
the drug-free matrix blank sample (B) and two other series of specimens
were used to provide more information for the interpretation of experimental
results:In the “C1” control sample, the tested
drug was incubated with heat-inactivated microsomes (inactivation
via a 15 min heating cycle at 90 °C).In the “C2” control sample, there was
no regenerating system in the incubation medium.The incubation time started with the addition of the
microsome suspension (0.5 mg/mL). Time point t0 was immediately
obtained, and the following samples were collected at 15, 30, 60,
and 120 min in order to evaluate short-term stability and longer-term
stability.Metabolic reactions were stopped by adding 100 μL
of cooled
acetonitrile to the 100 μL sample of the incubation mixture.
Samples were centrifuged to provoke protein precipitation, and the
supernatants were immediately stocked at −80 °C, until
analysis, to prevent the potential degradation of unstable products.
Identification of Metabolites Using High-Resolution Mass Spectrometry
The products of in vitro metabolism were identified using a high-resolution
mass spectrometer (LTQ Orbitrap XL, Thermo Scientific) coupled to
an HPLC instrument (1200 system Agilent). All analytes were separated
on an XBridge MS C18 column (100 × 2.1 mm, 3.5 μm particle
size) maintained at 30 °C. The elution mixture was composed of
solvent A (0.1% formic acid in water for the positive ionization mode
and 10 mM ammonium acetate for the negative ionization mode) and solvent
B (acetonitrile). The elution gradient was from 10 to 99% of solvent
B in 24 min, held at 99% for 4 min and re-equilibrated for 4 min at
10% of solvent B. The injection volume and flow rate were 4 μL
and 200 μL/min, respectively. Mass spectrometric analyses were
performed in positive- and negative-ion modes using a Supporting Information source under the following
conditions: a heated capillary temperature of 240 °C and a spray
voltage of 4 kV (positive ions) or 2.4 kV (negative ions). Accurate
mass measurements were obtained using full-scan mass spectra (resolving
power R = 30000; mass range m/z 150–800 Da) and with data-dependent MS2 acquisition,
in which the four most abundant ions of the previous full-scan spectrum
were selected for fragmentation. The MS2 spectra were acquired in
low resolution with an Ion Trap analyzer and allowed the identification
of the main characteristic fragments for each metabolite..
Authors: Anna Luganini; Giulia Sibille; Barbara Mognetti; Stefano Sainas; Agnese Chiara Pippione; Marta Giorgis; Donatella Boschi; Marco L Lolli; Giorgio Gribaudo Journal: Antiviral Res Date: 2021-03-11 Impact factor: 5.970
Authors: Stefano Sainas; Agnese C Pippione; Marta Giorgis; Elisa Lupino; Parveen Goyal; Cristina Ramondetti; Barbara Buccinnà; Marco Piccinini; Rodolpho C Braga; Carolina H Andrade; Mikael Andersson; Ann-Christin Moritzer; Rosmarie Friemann; Stefano Mensa; Salam Al-Kadaraghi; Donatella Boschi; Marco L Lolli Journal: Eur J Med Chem Date: 2017-02-14 Impact factor: 6.514
Authors: Paul D Adams; Pavel V Afonine; Gábor Bunkóczi; Vincent B Chen; Ian W Davis; Nathaniel Echols; Jeffrey J Headd; Li-Wei Hung; Gary J Kapral; Ralf W Grosse-Kunstleve; Airlie J McCoy; Nigel W Moriarty; Robert Oeffner; Randy J Read; David C Richardson; Jane S Richardson; Thomas C Terwilliger; Peter H Zwart Journal: Acta Crystallogr D Biol Crystallogr Date: 2010-01-22
Authors: Roland Baumgartner; Markus Walloschek; Martin Kralik; Astrid Gotschlich; Stefan Tasler; Jan Mies; Johann Leban Journal: J Med Chem Date: 2006-02-23 Impact factor: 7.446
Authors: Stefano Sainas; Agnese C Pippione; Elisa Lupino; Marta Giorgis; Paola Circosta; Valentina Gaidano; Parveen Goyal; Davide Bonanni; Barbara Rolando; Alessandro Cignetti; Alex Ducime; Mikael Andersson; Michael Järvå; Rosmarie Friemann; Marco Piccinini; Cristina Ramondetti; Barbara Buccinnà; Salam Al-Karadaghi; Donatella Boschi; Giuseppe Saglio; Marco L Lolli Journal: J Med Chem Date: 2018-07-09 Impact factor: 7.446