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Sykes, D. A.

Publications and source records attributed to Sykes, D. A..

9 recordsLinked to original sources

A universal cannabinoid CB1 and CB2 receptor TR-FRET kinetic ligand binding assay.

INTRODUCTIONThe kinetics of ligand binding to G protein-coupled receptors (GPCRs) is an important determining factor in the preclinical evaluation of a molecule. Therefore, efforts should be made to measure this property as part of any drug development plan. The original assays used to assess ligand binding kinetics were developed using radioligands. However, these types of assays are very labor-intensive, limiting their application to the later phases of the drug discovery process. Recently, fluorescence-based ligand binding assays have been developed for multiple GPCRs, demonstrating their superiority through a homogeneous format and continuous data acquisition capabilities. The overriding aim of this study was to develop a fluorescence-based homogeneous ligand binding assay to profile the kinetics of compounds binding to human cannabinoid type 1 and 2 receptors (CB1R and CB2R). METHODSWe designed and synthesized D77, a novel universal tracer based on the lower affinity non-selective naturally occurring psychoactive cannabinoid, {Delta}8-THC. Using the TR-FRET (time-resolved Forster resonance energy transfer) technique to develop an assay to study the kinetics of ligand binding to CB1R and CB2R at physiological temperature. To establish a CB1R construct suitable for this assay, it was necessary to truncate the first 90 amino acids of the flexible CB1R N-terminal domain, in order to reduce the FRET distance between the terbium cryptate (donor) and the fluorescent ligand (acceptor), while the full length CB2R construct remained functional due to its shorter N-terminus. We then used the Motulsky-Mahan competition binding model to study the binding kinetics of non-fluorescent ligands. RESULTSD77 tracer displayed affinity for the truncated human CB1R (CB1R91-472) and full length CB2R (CB2R1-360) in the nanomolar range, and competitive binding behavior with orthosteric ligands. Crucially, D77 displayed fast dissociation kinetics from both CB1R and CB2R, comparable to those of the most rapidly dissociating reference compounds tested. This unique property of D77 proved pivotal to accurately determining the on- and off-rates of the fastest dissociating compounds. Using D77, we successfully determined the kinetic binding properties of a series of CB1R and CB2R agonists and antagonists at 37{degrees}C, including rimonabant, which was marketed for the treatment of obesity but later withdrawn due to serious neurological side effects. DISCUSSIONThe kon values of molecules binding CB1R showed a difference of three orders of magnitude from the slowest associating compound, HU308 to the most rapid, rimonabant. Interestingly, we found a strong correlation between kon and affinity for compounds binding to CB1R, suggesting that the association rate is the main parameter determining the affinity of compounds binding to CB1R. For compounds binding to CB2R, both kon and koff parameters contributed as affinity determinants. However, in contrast to CB1R, a stronger correlation was found between the dissociation constant rate parameter and the affinity of these molecules, suggesting that a combination of kon and koff dictates the overall affinity of compounds binding to CB2R. Ultimately, exploring the kinetic parameters of potential cannabinoid drug candidates could help future drug development programs targeting these receptors.

pharmacology and toxicology↗

Probing drug-target engagement of soluble Gαi1 protein using the SolThermoBRET thermal shift assay

IntroductionSensitive protein stability assays used during hit confirmation conventionally require high quantities of purified protein. Here, we describe a novel high-throughput 384-well BRET-based thermostability assay allowing for the ultrasensitive determination of Gi1 protein stability. Using this method we make use of the environmentally sensitive dye, SYPRO Red, which interacts with hydrophobic regions in the protein that become exposed upon denaturation. Assays are functional in crude cell lysates, without any requirement for protein purification. MethodsThe SolThermoBRET method measures resonance energy transfer between a thermally stabilised nano-luciferase (tsNLuc) genetically engineered to the N-terminus of Gi1 protein, and SYPRO Red, a fluorescent dye that binds to lipophilic residues exposed upon protein unfolding in response to thermal denaturation. Samples in 384-well PCR plate were subjected to a temperature gradient (30 - 60 {degrees}C) on a PCR block and incubated for 5 minutes. Isothermal SolThermoBRET at a fixed temperature 45{degrees}C allowed the measurement of IC50 curves to various ligands. Furimazine (10 M) was added to the samples and BRET read on the BMG Labtech PHERAstar FSX at room temperature. Melt curves were fit to a Boltzmann sigmoidal equation to obtain Tm values. ResultsLigand-induced stabilisation of Gi1 protein was demonstrated in non-purified samples. A range of Tm values were measured with increasing stabilisation observed for nucleotides/sides in the following order GDP<GTP<GppNHp<GTP{gamma}S. Correlation was observed between SolThermoBRET derived Tms determined in the presence of high ligand concentrations and IC50 determinations using Isothermal SolThermoBRET. ConclusionsSolThermoBRET represents a sensitive nanoscale method for the detection of changes in soluble protein thermostability. This method is attractive for hit conformation and the identification of novel ligands targeting soluble proteins.

biophysics↗

Agonist efficacy at the B2AR is driven by agonist-induced differences in receptor affinity for the Gs protein, not ligand binding kinetics.

IntroductionThe {beta}2-adrenoceptor ({beta}2AR) is a class A G protein-coupled receptor (GPCR). It is therapeutically relevant in asthma, whereby {beta}2AR agonists relieve bronchoconstriction. The {beta}2AR is a prototypical GPCR for structural and biophysical studies. However, the molecular basis of agonist efficacy at the {beta}2AR is not understood. We hypothesized that the kinetics of ligand binding and GPCR-G protein interactions could play a role in ligand efficacy. We characterised the molecular pharmacology of a range of {beta}2AR agonists and examined the correlation between ligand and mini-Gs binding kinetics and efficacy. MethodsWe used a Time-resolved Fluorescence Resonance Energy Transfer (TR-FRET) based competition ligand binding assay to measure the affinity and residence times of a range of {beta}2AR agonists binding to the human {beta}2AR. TR-FRET between Lumi4-Tb3+ on the N terminus of the {beta}2AR and fluorescent CA200693 (S)-propranolol-green was measured using a PHERAstar FSX. The ability of these {beta}2AR agonists to activate the heterotrimeric Gs protein was measured using the CASE Gs protein biosensor. This assay senses a reduction in NanoBRET between the nano-luciferase (nLuc) donor on the G subunit and Venus acceptor on the G{psi}, on receptor activation, quantified using the operational model of agonism. NanoBRET was also used to measure interactions between DDM solubilised {beta}2AR-nLuc and purified Venus-mini-Gs. A large excess of unlabelled mini-Gs was used to dissociate the {beta}2AR-nLuc: Venus-mini-Gs complex. ResultsCharacterisation of the molecular pharmacology of seven {beta}2AR agonists showed a broad range of ligand binding affinities (pKi = 4.4 {+/-} 0.09 to 9.2 {+/-} 0.08) and kinetics parameters. There was no correlation between ligand residence times and their ability (log{tau} ) to activate the Gs protein (R2=0.26, p=0.29). However, there were statistically significant differences in the association rate (kon (fast)) (3.36{+/-}0.64x105 to 9.19{+/-} 0.42x105) and affinity (Kd) values of mini-Gs binding to the agonist-{beta}2AR complex (pKd =6.0 to 6.7). Both an increase in ligand driven mini-Gs kon(fast) rate and associated increase in mini-Gs pKd for the receptor, were moderately correlated with efficacy (log{tau} ) (R2 =0.58 and R2 =0.50 respectively). ConclusionsThese data support a model in which agonists of increased efficacy cause the {beta}2AR to adopt a conformation that is more likely to recruit G protein. Conversely, these data did not support a role for agonist binding kinetics in the molecular basis of efficacy.

pharmacology and toxicology↗

Exploring the kinetic selectivity of antipsychotics for dopamine D2 and 5-HT2A receptors: implications for the prevalence of EPS and receptor occupancy

Certain atypical antipsychotic drugs (APDs) used in the treatment of schizophrenia have been hypothesized to show reduced extrapyramidal side effects (EPS), due to their ability to promote nigrostriatal dopamine release through 5-HT2A receptor (5-HT2AR) blockade. The strength of this hypothesis is currently limited to a consideration of the relative receptor affinities of APDs for the 5-HT2AR and dopamine D2 receptor (D2R). Here we measure the 5-HT2AR kinetic binding properties of a series of typical and atypical APDs in a novel time-resolved fluorescence resonance energy transfer assay and correlate these properties with their observed EPS at therapeutic doses. For compounds with negligible affinity for 5-HT2AR, EPS is robustly predicted by a D2R specific rebinding model that integrates D2R association and dissociation rates to calculate the net rate of reversal of receptor blockade (kr). However, we show that for compounds with significant affinity for the 5-HT2AR, such as sertindole, higher relative 5-HT2A occupancy over time is an indicator for a reduced propensity to cause EPS. This study suggests that there is room for the development of novel kinetically optimised antipsychotic agents that modulate both serotonergic and dopamine function in a manner beneficial in the treatment of this chronic and debilitating disease.

neuroscience↗

Exploring the kinetic selectivity of drugs targeting the β1-adrenoceptor

In this study, we report the {beta}1-adrenoceptor binding kinetics of several clinically relevant {beta}1/2-adrenoceptor ({beta}1/2AR) agonists and antagonists. We demonstrate that the physicochemical properties of a molecule directly affect its kinetic association rate (kon) and affinity for the target. In contrast to our findings at the {beta}2-adrenoceptor, a drugs immobilized artificial membrane partition coefficient (KIAM), reflecting both hydrophobic and electrostatic interactions of the drug with the charged surface of biological membranes, was no better predictor than simple hydrophobicity measurements such as log P or logD7.4, characterized by a distribution between water and a non-aqueous organic phase (e.g. n-octanol) at predicting association rate. Overall, this suggests that hydrophobic interactions rather than a combination of polar and hydrophobic interactions play a more prominent role in dictating the binding of these ligands to the {beta}1-adrenoceptor. Using a combination of kinetic data, detailed structural and physicochemical information we rationalize the above findings and speculate that the association of positively charged ligands at the {beta}1AR is curtailed somewhat by its predominantly neutral/positive charged extracellular surface. Consequently, hydrophobic interactions in the ligand binding pocket dominate the kinetics of ligand binding. In comparison at the {beta}2AR, a combination of hydrophobicity and negative charge attracts basic, positively charged ligands to the receptors surface promoting the kinetics of ligand binding. Additionally, we reveal the potential role kinetics plays in the on-target and off-target pharmacology of clinically used {beta}-blockers.

pharmacology and toxicology↗

Prediction of ligand-receptor pharmacological activities using a combined docking and machine learning approach

G protein coupled receptors (GPCRs) are valuable therapeutic targets for many diseases. A central question of GPCR drug discovery is to understand what determines the agonism or antagonism of ligands which bind them. Ligands exert their action via the interactions in the ligand binding pocket. We hypothesised that there is a common set of receptor interactions made by ligands of diverse structures that mediate their action and that among a large dataset of different ligands, the functionally important interactions will be over-represented. We computationally docked ~2700 known {beta}2AR ligands to multiple {beta}2AR structures, generating ca 75,000 docking poses and predicted all atomic interactions between the receptor and the ligand. We used machine learning (ML) techniques to identify specific interactions that correlate with the agonist or antagonist activity of these ligands. The interpretation of ML analysis in human understandable form allowed us to construct an exquisitely detailed structure-activity relationship that identifies small changes to the ligands that invert their activity and thus helps to guide the drug discovery process. This approach can be readily applied to any drug target.

bioinformatics↗

Ablation of Proliferating Osteoblast Lineage Cells After Fracture Leads to Atrophic Nonunion in a Mouse Model

Nonunion is defined as the permanent failure of a fractured bone to heal, often necessitating surgical intervention. Atrophic nonunions are a subtype that are particularly difficult to treat. Animal models of atrophic nonunion are available; however, these require surgical or radiation-induced trauma to disrupt periosteal healing. These methods are invasive and not representative of many clinical nonunions where osseous regeneration has been arrested by a "failure of biology". We hypothesized that arresting osteoblast cell proliferation after fracture would lead to atrophic nonunion in mice. Using mice that express a thymidine kinase (tk) "suicide gene" driven by the 3.6Col1a1 promoter (Col1-tk), proliferating osteoblast lineage cells can be ablated upon exposure to the nucleoside analog ganciclovir (GCV). Wild-type (WT; control) and Col1-tk littermates were subjected to a full femur fracture and intramedullary fixation at 12 weeks age. We confirmed abundant tk+ cells in fracture callus of Col-tk mice dosed with water or GCV, specifically many osteoblasts, osteocytes, and chondrocytes at the cartilage-bone interface. Histologically, we observed altered callus composition in Col1-tk mice at 2 and 3 weeks post fracture, with significantly less bone and more fibrous tissue. Col1-tk mice, monitored for 12 weeks with in vivo radiographs and microCT scans, had delayed bone bridging and reduced callus size. Following sacrifice, ex vivo microCT and histology demonstrated failed union with residual bone fragments and fibrous tissue in Col1-tk mice. Biomechanical testing demonstrated a failure to recover torsional strength in Col1-tk mice, in contrast to WT. Our data indicates that suppression of proliferating osteoblast-lineage cells for at least 2 weeks after fracture blunts the formation and remodeling of a mineralized callus leading to a functional nonunion. We propose this as a new murine model of atrophic nonunion.

bioengineering↗

Measurement of non-purified GPCR thermostability using the homogenous ThermoBRET assay

Measurements of membrane protein thermostability allows indirect detection of ligand binding. Current thermostability assays require protein purification or rely on pre-existing radiolabelled or fluorescent ligands, limiting their application to established target proteins. Alternative methods detect protein aggregation which requires sufficiently high level of protein expression. Here, we present a ThermoBRET method to quantify the relative thermostability of G protein coupled receptors (GPCRs), using cannabinoid receptors (CB1 and CB2) and the {beta}2-adrenoceptor ({beta}2AR) as model systems. ThermoBRET reports receptor unfolding, does not need labelled ligands and can be used with non-purified proteins. It uses Bioluminescence Resonance Energy Transfer (BRET) between Nanoluciferase (Nluc) and a thiol-reactive fluorescent dye that binds cysteines exposed by unfolding. We demonstrate that the melting point (Tm) of Nluc-fused GPCRs can be determined in non-purified detergent solubilised membrane preparations or solubilised whole cells, revealing differences in thermostability for different solubilising conditions and in the presence of stabilising ligands. We extended the range of the assay by developing the thermostable tsNLuc by incorporating mutations from the fragments of split-Nluc (Tm of 87 C vs 59 C). ThermoBRET allows determination of GPCR thermostability, which is useful for protein purification optimisation and as part of drug discovery screening strategies.

biochemistry↗

Functional solubilisation of the β2-adrenoceptor (β2AR) using Diisobutylene maleic acid (DIBMA).

The β2-adrenoceptor (β2AR) is a well-established target in asthma and a prototypical GPCR for biophysical studies. Solubilisation of membrane proteins has classically involved the use of detergents. However, the detergent environment differs from the native membrane environment and often destabilises membrane proteins. Use of amphiphilic copolymers is a promising strategy to solubilise membrane proteins within their native lipid environment in the complete absence of detergents. Here we show the isolation of the β2AR in the polymer Diisobutylene maleic acid (DIBMA). We demonstrate that β2AR remains functional in the DIBMA lipid particle (DIBMALP) and shows improved thermal stability compared to the n-Dodecyl-β-D-Maltopyranoside (DDM) detergent solubilised β2AR. This unique method of extracting β2AR offers significant advantages over previous methods routinely employed such as the introduction of thermostabilising mutations and the use of detergents, particularly for functional biophysical studies.Competing Interest StatementThe authors have declared no competing interest.View Full Text

biochemistry↗