Effect of covalent dimer conjugates of angiotensin II on receptor affinity and activity in vitro

Update on Angiotensin II Subtype 2 Receptor: Focus on Peptide and Nonpeptide Agonists

Angiotensin II (Ang II) is the most dominant effector component of the renin-angiotensin system (RAS) that generally acts through binding to two main classes of G protein-coupled receptors, namely Ang II subtype 1 receptor (AT1R) and angiotensin II subtype 2 receptor (AT2R). Despite some controversial reports, the activation of AT2R generally antagonizes the effects of Ang II binding on AT1R. Studying AT2R signaling, function, and its specific ligands in cell culture or animal studies has confirmed its beneficial effects throughout the body. These characteristics classify AT2R as part of the protective arm of the RAS that, along with functions of Ang (1-7) through Mas receptor signaling, modulates the harmful effects of Ang II on AT1R in the activated classic arm of the RAS. Although Ang II is the primary ligand for AT2R, we have summarized other natural or synthetic peptide and nonpeptide agonists with critical evaluation of their structure, mechanism of action, and biologic activity. SIGNIFICANCE STATEMENT: AT2R is one of the main components of the RAS and has a significant prospective for mediating the beneficial action of the RAS through its protective arm on the body's homeostasis. Targeting AT2R offers substantial clinical application possibilities for modulating various pathological conditions. This review provided concise information regarding the AT2R peptide and nonpeptide agonists and their potential clinical applications for various diseases.

Evolution of Angiotensin Peptides and Peptidomimetics as Angiotensin II Receptor Type 2 (AT2) Receptor Agonists

Angiotensin II receptor type 1 and 2 (AT1R and AT2R) are two G-protein coupled receptors that mediate most biological functions of the octapeptide Angiotensin II (Ang II). AT2R is upregulated upon tissue damage and its activation by selective AT2R agonists has become a promising approach in the search for new classes of pharmaceutical agents. We herein analyzed the chemical evolution of AT2R agonists starting from octapeptides, through shorter peptides and peptidomimetics to the first drug-like AT2R-selective agonist, C21, which is in Phase II clinical trials and aimed for idiopathic pulmonary fibrosis. Based on the recent crystal structures of AT1R and AT2R in complex with sarile, we identified a common binding model for a series of 11 selected AT2R agonists, consisting of peptides and peptidomimetics of different length, affinity towards AT2R and selectivity versus AT1R. Subsequent molecular dynamics simulations and free energy perturbation (FEP) calculations of binding affinities allowed the identification of the bioactive conformation and common pharmacophoric points, responsible for the key interactions with the receptor, which are maintained by the drug-like agonists. The results of this study should be helpful and facilitate the search for improved and even more potent AT2R-selective drug-like agonists.

Synthesis of a new class of druglike angiotensin II C-terminal mimics with affinity for the AT2 receptor

Four tripeptides corresponding to the C-terminal region of angiotensin II were synthesized. One of these peptides (Ac-His-Pro-Ile) showed moderate binding affinity for the AT2 receptor. Two aromatic histidine-related scaffolds were synthesized and introduced in the tripeptides to give eight new peptidomimetic structures. Three of the new peptide-derived druglike molecules exhibited selective, nanomolar affinity for the AT2 receptor. These ligands may become lead compounds in the future development of novel classes of selective AT2 receptor agonists.

Short pseudopeptides containing turn scaffolds with high AT2 receptor affinity

Two pentapeptides, Ac-Tyr-Ile-His-Pro-Phe/Ile, were synthesized and shown to have angiotensin II AT2 receptor affinity and agonistic activity. Based on these peptides, a new series of 13 pseudopeptides was synthesized via introduction of five different turn scaffolds replacing the Tyr-Ile amino acid residues. Pharmacological evaluation disclosed subnanomolar affinities for some of these compounds at the AT2 receptor. Substitution of Phe by Ile in this series of ligands enhanced the AT2 receptor affinity of all compounds. These results suggest that the C-terminal amino acid residues can be elaborated on to enhance the AT2 receptor affinity in truncated Ang II analogues.

Structural model of antagonist and agonist binding to the angiotensin II, AT1 subtype, G protein coupled receptor

BACKGROUND

The family of G protein coupled receptors is the largest and perhaps most functionally diverse class of cell-surface receptors. Due to the difficulty of obtaining structural data on membrane proteins there is little information on which to base an understanding of ligand structure-activity relationships, the effects of receptor mutations and the mechanism(s) of signal transduction in this family. We therefore set out to develop a structural model for one such receptor, the human angiotensin II receptor.

RESULTS

An alignment between the human angiotensin II (type 1; hAT1), human beta 2 adrenergic, human neurokinin-1, and human bradykinin receptors, all of which are G protein coupled receptors, was used to generate a three-dimensional model of the hAT1 receptor based on bacteriorhodopsin. We observed a region within the model that was congruent with the biogenic amine binding site of beta 2, and were thus able to dock a model of the hAT1 antagonist L-158,282 (MK-996) into the transmembrane region of the receptor model. The antagonist was oriented within the helical domain by recognising that the essential acid functionality of this antagonist interacts with Lys199. The structural model is consistent with much of the information on structure-activity relationships for both non-peptide and peptide ligands.

CONCLUSIONS

Our model provides an explanation for the conversion of the antagonist L-158,282 (MK-996) to an agonist by the addition of an isobutyl group. It also suggests a model for domain motion during signal transduction. The approach of independently deriving three-dimensional receptor models and pharmacophore models of the ligands, then combining them, is a powerful technique which helps validate both models.