Two Arginine-Glutamate Ionic Locks Near the Extracellular Surface of
FFAR1 Gate Receptor
Activation |
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Authors: | Chi Shing Sum Irina G Tikhonova Stefano Costanzi and Marvin C Gershengorn |
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Institution: | ‡Clinical Endocrinology Branch and §Laboratory of Biological Modeling, NIDDK, National Institutes of Health, Bethesda, Maryland 20892 |
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Abstract: | Activation of a number of class A G protein-coupled receptors (GPCRs) is
thought to involve two molecular switches, a rotamer toggle switch within the
transmembrane domain and an ionic lock at the cytoplasmic surface of the
receptor; however, the mechanism by which agonist binding changes these
molecular interactions is not understood. Importantly, 80% of GPCRs including
free fatty acid receptor 1 (FFAR1) lack the complement of amino acid residues
implicated in either or both of these two switches; the mechanism of
activation of these GPCRs is therefore less clear. By homology modeling, we
identified two Glu residues (Glu-145 and Glu-172) in the second extracellular
loop of FFAR1 that form putative interactions individually with two
transmembrane Arg residues (Arg-183(5.39) and Arg-258(7.35)) to create two
ionic locks. Molecular dynamics simulations showed that binding of agonists to
FFAR1 leads to breakage of these Glu-Arg interactions. In mutagenesis
experiments, breakage of these two putative interactions by substituting Ala
for Glu-145 and Glu-172 caused constitutive receptor activation. Our results
therefore reveal a molecular switch for receptor activation present on the
extracellular surface of FFAR1 that is broken by agonist binding. Similar
ionic locks between the transmembrane domains and the extracellular loops may
constitute a mechanism common to other class A GPCRs also.G protein-coupled receptors
(GPCRs)3 are important
components of signal transduction machineries that regulate many physiological
processes. They are also important as targets for therapeutic agents; a large
percentage of drugs in the marketplace are GPCR ligands or modulators.
Knowledge of structure-function relationships of GPCRs has been gained through
many pharmacological, biochemical, and biophysical studies, and has been used
extensively to enhance the discovery of GPCR ligands that have been developed
into therapeutically useful agents
(1–3).
Knowledge of the molecular details of ligand-receptor interaction and of the
mechanism of receptor activation will also likely improve efforts to identify
agonists with better potency and efficacy. Tan et al.
(3) have recently reported
their design of agonists with higher potency and efficacy for the trace amine
receptor 1 based on the rotamer toggle switch model of receptor activation
that is thought to operate in a number of class A GPCRs. The rotamer toggle
switch typically involves the aromatic residues Trp and Phe within
transmembrane helix 6 (TMH6) of GPCRs. During agonist-mediated receptor
activation or in constitutively active receptors, the dihedral angle on the
side chain of these residues is predicted to be rotated compared with the
inactive state and thereby triggers a movement of TMH6 away from TMH3
(e.g. Ref. 4). It is
also thought that an ionic lock between an Arg residue in TMH3 and a Glu in
TMH6 near the cytoplasmic surface of some GPCRs holds the receptor in the
inactive conformation and that receptor activation is accompanied by breakage
of the ionic bond when agonist binds; the ionic lock may also be broken by
receptor mutation (e.g. Ref.
5). Although these models of
receptor activation have been proposed for a number of class A GPCRs, it is
not certain how generally this hypothesis can be applied across all members of
this GPCR class. From the alignment of 372 sequences of human GPCRs, we noted
that about 80% of GPCRs do not have the putative residues that play a role in
either the rotamer toggle switch, the ionic lock, or both. For these
receptors, the interaction responsible for regulating interconversion between
inactive and active receptor conformations therefore remains unknown.The free fatty acid receptor 1 (FFAR1) is a Gq-coupled, class A
GPCR-activated endogenously by free fatty acids, with a preference for
medium-to-long chain fatty acids (C8–12) (reviewed in Ref.
6). The receptor has been
suggested to be a potential target for treatment of type 2 diabetes, as
offered by the action of agonists to potentiate glucose-stimulated insulin
release (reviewed in Refs. 7,
8). Several groups, including
ours, have reported the discovery of novel small molecule ligands for FFAR1
(9–13).
Most of these compounds were identified by high-throughput screening followed
by chemical optimization
(10–12).
Our group has delineated the ligand-binding pocket of FFAR1
(14,
15) and used the information
as a rational approach to ligand discovery by means of virtual screening
(13). The mechanism of FFAR1
activation; however, remains unknown especially because this receptor does not
contain either the rotamer toggle switch or the ionic lock between TMHs 3 and
6.We have previously identified nine residues in the ligand-binding pocket of
FFAR1 that are important for ligand recognition and/or receptor activation
(14). In particular, two Arg
residues
(Arg-183(5.39)4 and
Arg-258(7.35)) and an Asn residue (Asn-244(6.55)) in the TMHs coordinate the
carboxylate head group of the naturally occurring agonist linoleate and the
synthetic agonist GW9508. In the present study, by a collaborative effort
using computational modeling and receptor mutagenesis, we report the
identification of Glu-172 in the second extracellular loop (ECL2) of FFAR1
that may function together with Arg-183(5.39) and Arg-258(7.35) as locks to
control activation of the receptor. Our results suggest that these ionic locks
at the extracellular surface hold the receptor in an inactive state. Agonists,
through interaction with the arginine residues, may break the
arginine-glutamate interactions thereby allowing the receptor to adopt an
active conformation. Therefore, our results have provided insights into the
mechanism of activation of class A GPCRs that function in a manner not
explicable by the more well-studied models. |
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