Search

Signaling diversity of G protein-coupled (GPCR) ligands provides novel opportunities to develop more effective, better-tolerated therapeutics. Taking advantage of these opportunities requires identifying which effectors should be specifically activated or avoided so as to promote desired clinical responses and avoid side effects. However, identifying signaling profiles that support desired clinical outcomes remains challenging. This study describes signaling diversity of mu opioid receptor (MOR) ligands in terms of logistic and operational parameters for ten different in vitro readouts. It then uses unsupervised clustering of curve parameters to: classify MOR ligands according to similarities in type and magnitude of response, associate resulting ligand categories with frequency of undesired events reported to the pharmacovigilance program of the Food and Drug Administration and associate signals to side effects. The ability of the classification method to associate specific in vitro signaling profiles to clinically relevant responses was corroborated using β2-adrenergic receptor ligands., Identifying ligands which activate the specific effectors driving particular in vivo drug effects remains challenging. Here, the authors apply unsupervised clustering of pharmacodynamic parameters to classify GPCR ligands into different categories with similar signaling profiles and shared frequency of report of side effects.

G protein-coupled receptors (GPCRs) represent the largest family of approved therapeutic targets. Ligands stimulating these receptors specifically activate multiple signalling pathways that induce not only the desired therapeutic response, but sometimes untolerated side effects that limit their clinical use. The diversity in signalling induced by each ligand could be considered a viable path for improving this situation. Biased agonism, which offers the promise of identifying pathway-selective drugs has been proposed as a means to exploit this opportunity. However, identifying biased agonists is not an easy process and quantifying ligand bias for a given signalling pathway requires careful consideration and control of several confounding factors. To date, the molecular mechanisms of biased signalling remain unclear and known theories that constitute our understanding of the mechanisms underlying therapeutic and side effects are still being challenged, making the strategy of selecting promising potential drugs more difficult. This special issue summarizes the latest advances in the discovery and optimization of biased ligands for different GPCRs. It also focuses on identifying novel insights into the field of biased agonism, while at the same time, highlighting the conceptual and experimental limitations of that concept for drug discovery. This aims to broaden our understanding of the signalling induced by the various identified biased agonists and provide perspectives that could straighten our path towards the development of more effective and tolerable therapeutics.

About 50 million of the U.S. adult population suffer from chronic pain. It is a complex disease in its own right for which currently available analgesics have been deemed woefully inadequate since ~20% of the sufferers derive no benefit. Vitamin D, known for its role in calcium homeostasis and bone metabolism, is thought to be of clinical benefit in treating chronic pain without the side-effects of currently available analgesics. A strong correlation between hypovitaminosis D and incidence of bone pain is known. However, the potential underlying mechanisms by which vitamin D might exert its analgesic effects are poorly understood. In this review, we discuss pathways involved in pain sensing and processing primarily at the level of dorsal root ganglion (DRG) neurons and the potential interplay between vitamin D, its receptor (VDR) and known specific pain signaling pathways including nerve growth factor (NGF), glial-derived neurotrophic factor (GDNF), epidermal growth factor receptor (EGFR), and opioid receptors. We also discuss how vitamin D/VDR might influence immune cells and pain sensitization as well as review the increasingly important topic of vitamin D toxicity. Further in vitro and in vivo experimental studies will be required to study these potential interactions specifically in pain models. Such studies could highlight the potential usefulness of vitamin D either alone or in combination with existing analgesics to better treat chronic pain.

Small ubiquitin like modifier (SUMO) conjugation or SUMOylation of βarrestin2 promotes its association with the clathrin adaptor protein AP2 and facilitates rapid β2 adrenergic receptor (β2AR) internalization. However, disruption of the consensus SUMOylation site in βarrestin2, did not prevent βarrestin2's association with activated β2ARs, dopamine D2 receptors (D2Rs), angiotensin type 1a receptors (AT1aRs) and V2 vasopressin receptors (V2Rs). To address the role of SUMOylation in the trafficking of βarrestin and GPCR complexes, we generated and characterized a yellow fluorescent protein (YFP) tagged βarrestin2-SUMO1 chimeric protein, which is resistant to de-SUMOylation. In HEK-293 cells, YFP-SUMO1 predominantly localized in the nucleus, whereas YFP-βarrestin2 is cytoplasmic. YFP-βarrestin2-SUMO1 in addition to being cytoplasmic, is localized at the nuclear membrane. Nonetheless, βarrestin2-SUMO1 associated robustly with agonist-activated β2ARs as evaluated by co-immunoprecipitation, confocal microscopy and bioluminescence resonance energy transfer (BRET). βarrestin2-SUMO1 associated strongly with the D2R, which forms transient complexes with βarrestin2. But, βarrestin2-SUMO1 and βarrestin2 showed equivalent binding with the V2R, which forms stable complexes with βarrestin2. βarrestin2 expression level directly correlated with the steady state levels of the unmodified form of RanGAP1, which upon SUMOylation associates with nuclear membrane. On the other hand, βarrestin2-SUMO1 not only localized at the nuclear membrane, but also formed a macromolecular complex with RanGAP1. Taken together, our data suggest that SUMOylation of βarrestin2 promotes its protein interactions at both cell and nuclear membranes. Furthermore, βarrestin2-SUMO1 presents as a useful tool to characterize βarrestin2 recruitment to GPCRs, which form transient and unstable complex with βarrestin2.

Aims Chronic kidney disease (CKD) is a powerful independent risk factor for cardiovascular events, including vein graft failure. Because CKD impairs the clearance of small proteins, we tested the hypothesis that CKD exacerbates vein graft disease by elevating serum levels of critical cytokines that promote vein graft neointimal hyperplasia. Methods and results We modelled CKD in C57BL/6 mice with 5/6ths nephrectomy, which reduced glomerular filtration rate by 60%, and we modelled vein grafting with inferior-vena-cava-to-carotid interposition grafting. CKD increased vein graft neointimal hyperplasia four-fold, decreased vein graft re-endothelialization two-fold, and increased serum levels of interleukin-9 (IL-9) five-fold. By quantitative immunofluorescence and histochemical staining, vein grafts from CKD mice demonstrated a ∼two-fold higher prevalence of mast cells, and a six-fold higher prevalence of activated mast cells. Concordantly, vein grafts from CKD mice showed higher levels of TNF and NFκB activation, as judged by phosphorylation of NFκB p65 on Ser536 and by expression of VCAM-1. Arteriovenous fistula veins from humans with CKD also showed up-regulation of mast cells and IL-9. Treating CKD mice with IL-9-neutralizing IgG reduced vein graft neointimal area four-fold, increased vein graft re-endothelialization ∼two-fold, and reduced vein graft total and activated mast cell levels two- and four-fold, respectively. Treating CKD mice with the mast cell stabilizer cromolyn reduced neointimal hyperplasia and increased re-endothelialization in vein grafts. In vitro, IL-9 promoted endothelial cell apoptosis but had no effect on smooth muscle cell proliferation. Conclusion CKD aggravates vein graft disease through mechanisms involving IL-9 and mast cell activation.

Obesity is a global burden and a chronic ailment with damaging overall health effects. Ghrelin, an octanoylated 28 amino acid peptide hormone, is secreted from the oxyntic mucosa of the stomach. Ghrelin acts on regions of the hypothalamus to regulate feeding behavior and glucose homeostasis through its G protein-coupled receptor. Recently, several central pathways modulating the metabolic actions of ghrelin have been reported. While these signaling pathways can be inhibited or activated by antagonists or agonists, they can also be discriminatingly activated in a “biased” response to impart different degrees of activation in distinct pathways downstream of the receptor. Here, we review recent ghrelin biased signaling findings as well as characteristics of ghrelin hormone and its receptors pertinent for biased signaling. We then evaluate the feasibility for ghrelin receptor biased signaling as a strategy for the development of effective pharmacotherapy in obesity treatment.

The delta opioid receptor (DOP) belongs to the Class A, rhodopsin-like family of G protein-coupled receptors. Although this receptor has a high level of similarity with the other opioid receptors, it displays unique aspects and functions. Indeed, as opposed to most membrane receptors, DOP is poorly addressed to the plasma membrane. In this chapter, we first review the molecular and cellular mechanisms regulating the expression and the cellular trafficking/sorting of DOP. We then summarize the structural insights of this receptor through the analysis of the existing crystal structures, with a particular focus on the role of the sodium binding site. Finally, we review the current signaling mechanisms mediating receptor function and desensitization.

Ubiquitination of G protein-coupled receptors (GPCRs) is an important dynamic posttranslational modification that has been linked to the intracellular trafficking of internalized GPCRs to lysosomes. Ubiquitination of GPCRs is mediated by specific E3 ubiquitin ligases that are scaffolded by the adaptor proteins called β-arrestins. Traditionally, detection of GPCR ubiquitination is achieved by using ubiquitin antibodies to Western blot immunoprecipitates of detergent-solubilized GPCRs expressed in heterologous cells. However, studies have also shown that bioluminescence resonance energy transfer (BRET)-based techniques can reveal ubiquitination of GPCRs in intact cells and in real time. This chapter describes a step-by-step protocol to evaluate ubiquitination of GPCRs using the BRET methodology.

Ion channels play a vital role in numerous physiological functions and drugs that target them are actively pursued for development of novel therapeutic agents. Here we report a means for monitoring in real time the conformational changes undergone by channel proteins upon exposure to pharmacological stimuli. The approach relies on tracking structural rearrangements by monitoring changes in bioluminescence energy transfer (BRET). To provide proof of principle we have worked with Kir3 neuronal channels producing 10 different constructs which were combined into 17 donor-acceptor BRET pairs. Among these combinations, pairs bearing the donor Nano-Luc (NLuc) at the C-terminal end of Kir3.2 subunits and the FlAsH acceptor at the N-terminal end (NT) or the interfacial helix (N70) of Kir3.1 subunits were identified as potential tools. These pairs displayed significant changes in energy transfer upon activation with direct channel ligands or via stimulation of G protein-coupled receptors. Conformational changes associated with channel activation followed similar kinetics as channel currents. Dose response curves generated by different agonists in FlAsH-BRET assays displayed similar rank order of potency as those obtained with conventional BRET readouts of G protein activation and ion flux assays. Conformational biosensors as the ones reported herein should prove a valuable complement to other methodologies currently used in channel drug discovery.

Signaling bias makes reference to the capacity of G-protein coupled receptor (GPCR) ligands to direct pharmacological stimuli to a subset of effectors among all of those controlled by the receptor. This new signaling modality has added texture to the classical notion of efficacy. In doing so, it has opened new avenues for the development of therapeutic GPCR ligands that specifically modulate signals underlying desired effects while sparing those that support undesired drug actions. Essential to taking advantage of this texture is the ability to identify, quantify and represent bias in a reliable and intuitive manner that ensures comparison among ligands. Here, we present a practical guide on how the operational model may be used to evaluate ligand efficiency to induce different responses, how differences in response may be used to estimate bias and how quantitative information derived from this analysis may be graphically represented to recreate a drug's unique signaling footprint. The approach used is discussed in terms of data interpretation and limitations that may influence the conclusions drawn from the analysis.