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      Heteromerization fingerprints between bradykinin B2 and thromboxane TP receptors in native cells

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          Abstract

          Bradykinin (BK) and thromboxane-A 2 (TX-A 2) are two vasoactive mediators that modulate vascular tone and inflammation via binding to their cognate “class A” G-protein coupled receptors (GPCRs), BK-B2 receptors (B2R) and TX-prostanoid receptors (TP), respectively. Both BK and TX-A 2 lead to ERK1/2-mediated vascular smooth muscle cell (VSMC) proliferation and/or hypertrophy. While each of B2R and TP could form functional dimers with various GPCRs, the likelihood that B2R-TP heteromerization could contribute to their co-regulation has never been investigated. The main objective of this study was to investigate the mode of B2R and TP interaction in VSMC, and its possible impact on downstream signaling. Our findings revealed synergistically activated ERK1/2 following co-stimulation of rat VSMC with a subthreshold dose of BK and effective doses of the TP stable agonist, IBOP, possibly involving biased agonist signaling. Single detection of each of B2R and TP in VSMC, using in-situ proximity ligation assay (PLA), provided evidence of the constitutive expression of nuclear and extranuclear B2R and TP. Moreover, inspection of B2R-TP PLA signals in VSMC revealed agonist-modulated nuclear and extranuclear proximity between B2R and TP, whose quantification varied substantially following single versus dual agonist stimulations. B2R-TP interaction was further verified by the findings of co-immunoprecipitation (co-IP) analysis of VSMC lysates. To our knowledge, this is the first study that provides evidence supporting the existence of B2R-TP heteromerization fingerprints in primary cultured VSMC.

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          Quantitative analysis of dose-effect relationships: the combined effects of multiple drugs or enzyme inhibitors.

          A generalized method for analyzing the effects of multiple drugs and for determining summation, synergism and antagonism has been proposed. The derived, generalized equations are based on kinetic principles. The method is relatively simple and is not limited by whether the dose-effect relationships are hyperbolic or sigmoidal, whether the effects of the drugs are mutually exclusive or nonexclusive, whether the ligand interactions are competitive, noncompetitive or uncompetitive, whether the drugs are agonists or antagonists, or the number of drugs involved. The equations for the two most widely used methods for analyzing synergism, antagonism and summation of effects of multiple drugs, the isobologram and fractional product concepts, have been derived and been shown to have limitations in their applications. These two methods cannot be used indiscriminately. The equations underlying these two methods can be derived from a more generalized equation previously developed by us (59). It can be shown that the isobologram is valid only for drugs whose effects are mutually exclusive, whereas the fractional product method is valid only for mutually nonexclusive drugs which have hyperbolic dose-effect curves. Furthermore, in the isobol method, it is laborious to find proper combinations of drugs that would produce an iso-effective curve, and the fractional product method tends to give indication of synergism, since it underestimates the summation of the effect of mutually nonexclusive drugs that have sigmoidal dose-effect curves. The method described herein is devoid of these deficiencies and limitations. The simplified experimental design proposed for multiple drug-effect analysis has the following advantages: It provides a simple diagnostic plot (i.e., the median-effect plot) for evaluating the applicability of the data, and provides parameters that can be directly used to obtain a general equation for the dose-effect relation; the analysis which involves logarithmic conversion and linear regression can be readily carried out with a simple programmable electronic calculator and does not require special graph paper or tables; and the simplicity of the equation allows flexibility of application and the use of a minimum number of data points. This method has been used to analyze experimental data obtained from enzymatic, cellular and animal systems.
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            The problem of synergism and antagonism of combined drugs.

            S. Loewe (1953)
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              G protein-coupled receptor oligomerization revisited: functional and pharmacological perspectives.

              Most evidence indicates that, as for family C G protein-coupled receptors (GPCRs), family A GPCRs form homo- and heteromers. Homodimers seem to be a predominant species, with potential dynamic formation of higher-order oligomers, particularly tetramers. Although monomeric GPCRs can activate G proteins, the pentameric structure constituted by one GPCR homodimer and one heterotrimeric G protein may provide a main functional unit, and oligomeric entities can be viewed as multiples of dimers. It still needs to be resolved if GPCR heteromers are preferentially heterodimers or if they are mostly constituted by heteromers of homodimers. Allosteric mechanisms determine a multiplicity of possible unique pharmacological properties of GPCR homomers and heteromers. Some general mechanisms seem to apply, particularly at the level of ligand-binding properties. In the frame of the dimer-cooperativity model, the two-state dimer model provides the most practical method to analyze ligand-GPCR interactions when considering receptor homomers. In addition to ligand-binding properties, unique properties for each GPCR oligomer emerge in relation to different intrinsic efficacy of ligands for different signaling pathways (functional selectivity). This gives a rationale for the use of GPCR oligomers, and particularly heteromers, as novel targets for drug development. Herein, we review the functional and pharmacological properties of GPCR oligomers and provide some guidelines for the application of discrete direct screening and high-throughput screening approaches to the discovery of receptor-heteromer selective compounds.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: Writing – original draft
                Role: Formal analysis
                Role: ResourcesRole: Writing – review & editing
                Role: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                14 May 2019
                2019
                : 14
                : 5
                : e0216908
                Affiliations
                [1 ] Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
                [2 ] Department of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
                [3 ] INSERM-U1149, CNRS-ERL8252, Centre de Recherche sur l'Inflammation, Paris, France
                [4 ] Sorbonne Paris Cité, Laboratoire d'Excellence Inflamex, Faculté de Médecine, Site Xavier Bichat, Université Paris Diderot, Paris, France
                [5 ] Department of Internal Medicine, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
                [6 ] Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, United States of America
                Max Delbruck Centrum fur Molekulare Medizin Berlin Buch, GERMANY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0001-6027-0043
                http://orcid.org/0000-0001-9204-2723
                Article
                PONE-D-19-05644
                10.1371/journal.pone.0216908
                6516669
                31086419
                eacedec3-f32f-4233-a2a5-37b77b77a898
                © 2019 Dagher et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 26 February 2019
                : 30 April 2019
                Page count
                Figures: 6, Tables: 0, Pages: 22
                Funding
                Funded by: Faculty of Medicine, American University of Beirut
                Award ID: Medical Practice Plan (MPP)
                Award Recipient :
                This research is funded by an intramural award from the medical practice plan (MPP), Faculty of Medicine, AUB. OKD is a doctoral fellow of the Lebanese National Council for Scientific Research (CNRS-L). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biochemistry
                Proteins
                Transmembrane Receptors
                G Protein Coupled Receptors
                Biology and Life Sciences
                Cell Biology
                Signal Transduction
                Transmembrane Receptors
                G Protein Coupled Receptors
                Biology and Life Sciences
                Biochemistry
                Proteins
                Post-Translational Modification
                Phosphorylation
                Physical Sciences
                Chemistry
                Physical Chemistry
                Chemical Bonding
                Cross-Linking
                Research and Analysis Methods
                Precipitation Techniques
                Immunoprecipitation
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Analysis of Variance
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Analysis of Variance
                Biology and Life Sciences
                Cell Biology
                Signal Transduction
                Cell Signaling
                Cellular Crosstalk
                Research and Analysis Methods
                Bioassays and Physiological Analysis
                Cell Analysis
                Physical Sciences
                Chemistry
                Polymer Chemistry
                Monomers
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

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