Identification of 2-Aminoacyl-1,3,4-thiadiazoles as Prostaglandin E(2) and Leukotriene Biosynthesis Inhibitors.
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Letter
Identification of 2‑Aminoacyl-1,3,4-thiadiazoles as Prostaglandin E2
and Leukotriene Biosynthesis Inhibitors
Marianna Potenza,‡ Assunta Giordano,‡ Maria G. Chini, Anella Saviano, Christian Kretzer,
Federica Raucci, Marina Russo, Gianluigi Lauro, Stefania Terracciano, Ines Bruno, Maria Iorizzi,
Robert K. Hofstetter, Simona Pace, Francesco Maione, Oliver Werz,* and Giuseppe Bifulco*
Cite This: ACS Med. Chem. Lett. 2023, 14, 26−34
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sı Supporting Information
*
ABSTRACT: The application of a multi-step scientific workflow
revealed an unprecedented class of PGE2/leukotriene biosynthesis
inhibitors with in vivo activity. Specifically, starting from a
combinatorial virtual library of ∼4.2 × 105 molecules, a small set
of compounds was identified for the synthesis. Among these, four
novel 2-aminoacyl-1,3,4-thiadiazole derivatives (3, 6, 7, and 9)
displayed marked anti-inflammatory properties in vitro by strongly
inhibiting PGE2 biosynthesis, with IC50 values in the nanomolar
range. The hit compounds also efficiently interfered with
leukotriene biosynthesis in cell-based systems and modulated IL6 and PGE2 biosynthesis in a lipopolysaccharide-stimulated J774A.1 macrophage cell line. The most promising compound 3 showed
prominent in vivo anti-inflammatory activity in a mouse model, with efficacy comparable to that of dexamethasone, attenuating
zymosan-induced leukocyte migration in mouse peritoneum with considerable modulation of the levels of typical pro-/antiinflammatory cytokines.
KEYWORDS: Combinatorial virtual screening, 2-Aminoacyl-1,3,4-thiadiazole, mPGES-1, Leukotriene biosynthesis pathway,
Anti-inflammatory activity
M
icrosomal prostaglandin E2 synthase-1 (mPGES-1),1 a
downstream PG synthase, is a membrane-integrated
protein able to convert the cyclooxygenase (COX)-derived
unstable prostaglandin H2 (PGH2) to the bioactive prostaglandin E2 (PGE2). This enzyme is one of the membraneassociated proteins involved in the metabolism of glutathione
and prostanoids (MAPEG), a family of proteins including
several key targets, such as the 5-lipoxygenase-activating
protein (FLAP), leukotriene C4 synthase (LTC4S), and
microsomal glutathione S-transferases, useful for the development of anti-inflammatory and anticancer drugs interfering
with prostaglandin and leukotriene biosynthesis.2 Contrary to
the classical non-steroidal anti-inflammatory drugs (NSAIDs),
namely blockers of cyclooxygenases (COX-1 and COX-2) and
coxibs (COX-2 selective inhibitors), the inhibition of mPGES1 does not affect the biosynthesis of the other physiologically
important PGs.3,4 Consequently, mPGES-1 inhibitors show a
safer profile with respect to fewer gastrointestinal and
cardiovascular complications, like thrombosis and vascular
inflammation.5,6 Several studies reported the involvement of
this synthase in different types of cancer,7−9 liver diseases, like
viral hepatitis, and drug-induced injury.10 To date, only two
drug candidates are currently in Phase II clinical trials: GRC
27864 is being evaluated for efficacy in patients with
osteoarthritic pain; GS-248 is currently being tested in a
© 2022 The Authors. Published by
American Chemical Society
Phase II trial (https://clinicaltrials.gov/ct2/show/
NCT04744207) in Europe with systemic sclerosis patients
(https://clinicaltrials.gov/ct2/results?term=mPGES-1). Thus,
the development of mPGES-11,10,11 inhibitors represents an
urgent issue. Furthermore, in recent years, different series of
dual- and/or multi-target inhibitors of eicosanoid biosynthesis
targets have been developed. In fact, the use of this type of
agents able to block the targets belonging to the three different
branches of the arachidonic acid cascade, namely lipoxygenases
(LOs), cyclooxygenases (COXs) and cytochrome P 450
monooxygenases (CYP450), may increase the anti-inflammatory effects and reduce the side effects. Indeed, the moderate
interference with multiple biological macromolecules may
provide advantages in re-adjusting and regulating homeostasis
compared to single-target drugs, obtaining the next generation
of more efficient and safer anti-inflammatory agents.12 In the
continuous effort to identify mPGES-1 inhibitors, computaReceived: July 25, 2022
Accepted: November 29, 2022
Published: December 9, 2022
26
https://doi.org/10.1021/acsmedchemlett.2c00343
ACS Med. Chem. Lett. 2023, 14, 26−34
ACS Medicinal Chemistry Letters
pubs.acs.org/acsmedchemlett
tional tools have always played a central role.13−15 In this
context, considering the broad spectrum of biological
activities16,17 of the 2-amino-thiadiazole derivatives, such as
antifungal18 and antiparasitic activities,19 and also encouraged
by the inhibitory activity shown by 2-aminothiazole-based
mPGES-1 inhibitors,20,21 we investigated the privileged
scaffold 2-aminoacyl-1,3,4-thiadiazole as central core for
designing potential mPGES-1-blocking agents. To target
mPGES-1 protein, in these past few years, we improved and
optimized a multi-step computational workflow integrated with
robust in vitro, in vivo, and ex vivo experimental analyses22,23
that allowed us to identify novel dual mPGES-1 and
leukotriene biosynthesis inhibitors. Therefore, the generation
of a novel library of compounds was the first step in starting
our investigation by identifying promising specific chemical
platforms for a punctual decoration to be performed according
to a selected synthetic approach. Thus, according to the
generic scheme reported in Figure 1A, the 2-amino-5-(4-
Letter
belonging to the 2-amino-thiadiazole-based library, obtaining
∼4.2 × 105 entities. After that, QikProp and LigFilter software
was used to filter out only compounds presenting the wellknown “drug-like” properties. To discard “non-drug-like”
compounds and possible false positives in high-throughput
screening (HTS) assays, QikProp software24 was used for the
calculation of the pharmacokinetic properties, physically
significant descriptors, and pharmaceutically relevant parameters for prediction of absorption, distribution, metabolism, and
excretion (ADME). Accordingly, the functional groups
generally responsible for reactivity, toxicity, or decomposition
problems in vivo were filtered out before the subsequent
molecular docking step, in order to rule out “non-drug-like”
molecules (Table S1, Supporting Information). Then, the
virtual screening workflow (VSW) on mPGES-1 (PDB code:
4BPM)25 was applied to the final library, containing 1.5 × 105
compounds that passed several filters (vide supra), using Glide
software.24 Specifically, the VSW consisted of three subsequent
steps, each of them yielding a ranking of compounds according
to docking score value: (i) high-throughput virtual screening
phase (HTVS); (ii) standard precision phase (SP); and (iii)
extra precision phase (XP). The computational analyses of
docking results were performed by combining the docking
score with a qualitativ (...truncated)