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Li W, Li A, Yu B, Zhang X, Liu X, White KL, Stevens RC, Baumeister W, Sali A, Jasnin M, Sun L. In situ structure of actin remodeling during glucose-stimulated insulin secretion using cryo-electron tomography. Nat Commun 2024; 15:1311. [PMID: 38346988 PMCID: PMC10861521 DOI: 10.1038/s41467-024-45648-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 01/30/2024] [Indexed: 02/15/2024] Open
Abstract
Actin mediates insulin secretion in pancreatic β-cells through remodeling. Hampered by limited resolution, previous studies have offered an ambiguous depiction as depolymerization and repolymerization. We report the in situ structure of actin remodeling in INS-1E β-cells during glucose-stimulated insulin secretion at nanoscale resolution. After remodeling, the actin filament network at the cell periphery exhibits three marked differences: 12% of actin filaments reorient quasi-orthogonally to the ventral membrane; the filament network mainly remains as cell-stabilizing bundles but partially reconfigures into a less compact arrangement; actin filaments anchored to the ventral membrane reorganize from a "netlike" to a "blooming" architecture. Furthermore, the density of actin filaments and microtubules around insulin secretory granules decreases, while actin filaments and microtubules become more densely packed. The actin filament network after remodeling potentially precedes the transport and release of insulin secretory granules. These findings advance our understanding of actin remodeling and its role in glucose-stimulated insulin secretion.
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Affiliation(s)
- Weimin Li
- iHuman Institute, ShanghaiTech University, Shanghai, 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Angdi Li
- iHuman Institute, ShanghaiTech University, Shanghai, 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Bing Yu
- iHuman Institute, ShanghaiTech University, Shanghai, 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Xiaoxiao Zhang
- iHuman Institute, ShanghaiTech University, Shanghai, 201210, China
| | - Xiaoyan Liu
- iHuman Institute, ShanghaiTech University, Shanghai, 201210, China
| | - Kate L White
- Department of Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA, 90089, USA
| | - Raymond C Stevens
- iHuman Institute, ShanghaiTech University, Shanghai, 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Wolfgang Baumeister
- iHuman Institute, ShanghaiTech University, Shanghai, 201210, China.
- Department of Molecular Structural Biology, Max Planck Institute of Biochemistry, 82152, Martinsried, Germany.
| | - Andrej Sali
- Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, CA, 94158, USA.
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, 94158, USA.
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, 94158, USA.
| | - Marion Jasnin
- Helmholtz Pioneer Campus, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
- Department of Chemistry, Technical University of Munich, 85748, Garching, Germany.
| | - Liping Sun
- iHuman Institute, ShanghaiTech University, Shanghai, 201210, China.
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Loconte V, Singla J, Li A, Chen JH, Ekman A, McDermott G, Sali A, Gros ML, White KL, Larabell CA. Soft X-ray Tomography for Mapping and Quantifying Intracellular Organelle Interactions. Microsc Microanal 2023; 29:1181. [PMID: 37613466 DOI: 10.1093/micmic/ozad067.607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Affiliation(s)
- Valentina Loconte
- iHuman Institute, School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- Department of Anatomy, University of California San Francisco, San Francisco, CA, United States
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Jitin Singla
- Department of Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA, United States
- Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
| | - Angdi Li
- iHuman Institute, School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Jian-Hua Chen
- Department of Anatomy, University of California San Francisco, San Francisco, CA, United States
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Axel Ekman
- Department of Anatomy, University of California San Francisco, San Francisco, CA, United States
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Gerry McDermott
- Department of Anatomy, University of California San Francisco, San Francisco, CA, United States
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Andrej Sali
- Department of Bioengineering and Therapeutic Science, Department of Pharmaceutical Chemistry, California Institute of Quantitative Bioscience, University of California San Francisco, San Francisco, CA, United States
| | - Mark Le Gros
- Department of Anatomy, University of California San Francisco, San Francisco, CA, United States
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Kate L White
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
- Department of Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA, United States
| | - Carolyn A Larabell
- Department of Anatomy, University of California San Francisco, San Francisco, CA, United States
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
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Deshmukh A, Loconte V, White KL. Quantitative Structural Mapping of Insulin Vesicle Maturation in Beta Cells. Microsc Microanal 2023; 29:1166. [PMID: 37613637 DOI: 10.1093/micmic/ozad067.597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Affiliation(s)
- Aneesh Deshmukh
- Department of Chemistry, University of Southern California, Los Angeles, CA, USA
| | - Valentina Loconte
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkely, CA, USA
| | - Kate L White
- Department of Chemistry, University of Southern California, Los Angeles, CA, USA
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de Klerk E, Xiao Y, Emfinger CH, Keller MP, Berrios DI, Loconte V, Ekman AA, White KL, Cardone RL, Kibbey RG, Attie AD, Hebrok M. Loss of ZNF148 enhances insulin secretion in human pancreatic β cells. JCI Insight 2023; 8:157572. [PMID: 37288664 PMCID: PMC10393241 DOI: 10.1172/jci.insight.157572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 04/05/2023] [Indexed: 06/09/2023] Open
Abstract
Insulin secretion from pancreatic β cells is essential to the maintenance of glucose homeostasis. Defects in this process result in diabetes. Identifying genetic regulators that impair insulin secretion is crucial for the identification of novel therapeutic targets. Here, we show that reduction of ZNF148 in human islets, and its deletion in stem cell-derived β cells (SC-β cells), enhances insulin secretion. Transcriptomics of ZNF148-deficient SC-β cells identifies increased expression of annexin and S100 genes whose proteins form tetrameric complexes involved in regulation of insulin vesicle trafficking and exocytosis. ZNF148 in SC-β cells prevents translocation of annexin A2 from the nucleus to its functional place at the cell membrane via direct repression of S100A16 expression. These findings point to ZNF148 as a regulator of annexin-S100 complexes in human β cells and suggest that suppression of ZNF148 may provide a novel therapeutic strategy to enhance insulin secretion.
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Affiliation(s)
| | - Yini Xiao
- UCSF Diabetes Center, UCSF, San Francisco, California, USA
| | - Christopher H Emfinger
- Department of Biochemistry, University of Wisconsin-Madison, DeLuca Biochemistry Laboratories, Madison, Wisconsin, USA
| | - Mark P Keller
- Department of Biochemistry, University of Wisconsin-Madison, DeLuca Biochemistry Laboratories, Madison, Wisconsin, USA
| | | | - Valentina Loconte
- Department of Anatomy, School of Medicine, UCSF, San Francisco, California, USA
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
- National Center for X-ray Tomography, Advanced Light Source, Berkeley, California, USA
| | - Axel A Ekman
- National Center for X-ray Tomography, Advanced Light Source, Berkeley, California, USA
| | - Kate L White
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
- Department of Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California, USA
| | - Rebecca L Cardone
- Department of Internal Medicine (Endocrinology), Yale University, New Haven, Connecticut, USA
| | - Richard G Kibbey
- Department of Internal Medicine (Endocrinology), Yale University, New Haven, Connecticut, USA
| | - Alan D Attie
- Departments of Biochemistry, Chemistry, and Medicine, University of Wisconsin-Madison, DeLuca Biochemistry Laboratories, Madison, Wisconsin, USA
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Deshmukh A, Mahmood S, White KL. Investigating insulin vesicle maturation pathways using soft X-ray tomography. Biophys J 2023; 122:240a. [PMID: 36783180 DOI: 10.1016/j.bpj.2022.11.1402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023] Open
Affiliation(s)
- Aneesh Deshmukh
- Department of Chemistry, University of Southern California, Los Angeles, CA, USA
| | | | - Kate L White
- Department of Chemistry, University of Southern California, Los Angeles, CA, USA
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Haseler CJ, West E, Louro LF, Petruccione I, White KL, Pierce JMT. Sustainable development in equine anaesthesia. EQUINE VET EDUC 2022. [DOI: 10.1111/eve.13752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | - Eleanor West
- Davies Veterinary Specialists Manor Farm Business Park Hertfordshire UK
| | | | | | - Kate L. White
- School of Veterinary Medicine and Science University of Nottingham Leicestershire UK
| | - J. M. Tom Pierce
- Department of Anaesthesia University Hospital Southampton NHS Foundation Trust Southampton UK
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Gelbach PE, Zheng D, Fraser SE, White KL, Graham NA, Finley SD. Kinetic and data-driven modeling of pancreatic β-cell central carbon metabolism and insulin secretion. PLoS Comput Biol 2022; 18:e1010555. [PMID: 36251711 PMCID: PMC9612825 DOI: 10.1371/journal.pcbi.1010555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 10/27/2022] [Accepted: 09/08/2022] [Indexed: 11/06/2022] Open
Abstract
Pancreatic β-cells respond to increased extracellular glucose levels by initiating a metabolic shift. That change in metabolism is part of the process of glucose-stimulated insulin secretion and is of particular interest in the context of diabetes. However, we do not fully understand how the coordinated changes in metabolic pathways and metabolite products influence insulin secretion. In this work, we apply systems biology approaches to develop a detailed kinetic model of the intracellular central carbon metabolic pathways in pancreatic β-cells upon stimulation with high levels of glucose. The model is calibrated to published metabolomics datasets for the INS1 823/13 cell line, accurately capturing the measured metabolite fold-changes. We first employed the calibrated mechanistic model to estimate the stimulated cell's fluxome. We then used the predicted network fluxes in a data-driven approach to build a partial least squares regression model. By developing the combined kinetic and data-driven modeling framework, we gain insights into the link between β-cell metabolism and glucose-stimulated insulin secretion. The combined modeling framework was used to predict the effects of common anti-diabetic pharmacological interventions on metabolite levels, flux through the metabolic network, and insulin secretion. Our simulations reveal targets that can be modulated to enhance insulin secretion. The model is a promising tool to contextualize and extend the usefulness of metabolomics data and to predict dynamics and metabolite levels that are difficult to measure in vitro. In addition, the modeling framework can be applied to identify, explain, and assess novel and clinically-relevant interventions that may be particularly valuable in diabetes treatment.
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Affiliation(s)
- Patrick E. Gelbach
- Department of Biomedical Engineering, USC, Los Angeles, California, United States of America
| | - Dongqing Zheng
- Mork Family Department of Chemical Engineering and Materials Science, USC, Los Angeles, California, United States of America
| | - Scott E. Fraser
- Translational Imaging Center, University of Southern California, Los Angeles, California, United States of America
| | - Kate L. White
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center, USC, Los Angeles, California, United States of America
| | - Nicholas A. Graham
- Mork Family Department of Chemical Engineering and Materials Science, USC, Los Angeles, California, United States of America
| | - Stacey D. Finley
- Department of Biomedical Engineering, USC, Los Angeles, California, United States of America
- Mork Family Department of Chemical Engineering and Materials Science, USC, Los Angeles, California, United States of America
- Department of Quantitative and Computational Biology, USC, Los Angeles, California, United States of America
- * E-mail:
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8
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White KL. Use of soft X-ray tomography to capture the dynamic biochemical nature of intact pancreatic beta cells. Biophys J 2022. [DOI: 10.1016/j.bpj.2021.11.1288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Loconte V, Singla J, Li A, Chen JH, Ekman A, McDermott G, Sali A, Le Gros M, White KL, Larabell CA. Soft X-ray tomography to map and quantify organelle interactions at the mesoscale. Structure 2022; 30:510-521.e3. [PMID: 35148829 PMCID: PMC9013509 DOI: 10.1016/j.str.2022.01.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 12/04/2021] [Accepted: 01/17/2022] [Indexed: 12/11/2022]
Abstract
Inter-organelle interactions are a vital part of normal cellular function; however, these have proven difficult to quantify due to the range of scales encountered in cell biology and the throughput limitations of traditional imaging approaches. Here, we demonstrate that soft X-ray tomography (SXT) can be used to rapidly map ultrastructural reorganization and inter-organelle interactions in intact cells. SXT takes advantage of the naturally occurring, differential X-ray absorption of the carbon-rich compounds in each organelle. Specifically, we use SXT to map the spatiotemporal evolution of insulin vesicles and their co-localization and interaction with mitochondria in pancreatic β cells during insulin secretion and in response to different stimuli. We quantify changes in the morphology, biochemical composition, and relative position of mitochondria and insulin vesicles. These findings highlight the importance of a comprehensive and unbiased mapping at the mesoscale to characterize cell reorganization that would be difficult to detect with other existing methodologies.
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Affiliation(s)
- Valentina Loconte
- iHuman Institute, School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Jitin Singla
- Department of Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Angdi Li
- iHuman Institute, School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Jian-Hua Chen
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Axel Ekman
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Gerry McDermott
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Andrej Sali
- Department of Bioengineering and Therapeutic Science, Department of Pharmaceutical Chemistry, California Institute of Quantitative Bioscience, University of California San Francisco, San Francisco, CA 94158, USA
| | - Mark Le Gros
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Kate L White
- Department of Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.
| | - Carolyn A Larabell
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
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Abstract
Background Mitochondria are cellular organelles responsible for energy production, and dysregulation of the mitochondrial network is associated with many disease states. To fully characterize the mitochondrial network's structure and function, a three-dimensional whole cell mapping technique is required. Scope of review This review highlights the use of soft X-ray tomography (SXT) as a relatively high-throughput approach to quantify mitochondrial structure and function under multiple cellular conditions. Major conclusions The use of SXT opens the door for mapping cellular rearrangements during critical processes such as insulin secretion, stem cell differentiation, or disease progression. SXT provides unique information such as biochemical compositions or molecular densities of organelles and allows for unbiased, label-free imaging of intact whole cells. Mapping mitochondria in the context of the near-native cellular environment will reveal more information regarding mitochondrial network functions within the cell. Soft X-ray tomography (SXT) generates 3D organelle maps of intact cells. 3D maps reveal the positions of mitochondria and their molecular densities. SXT can be used to quantify and compare organelle contacts between conditions. SXT is unbiased imaging that identifies the contents of subcellular neighborhoods. SXT provides an exciting path for exploring metabolic dysfunction.
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Affiliation(s)
- Valentina Loconte
- Department of Anatomy, School of Medicine, UCSF, San Francisco, California, CA 94143; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Kate L White
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; Department of Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.
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11
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Raveh B, Sun L, White KL, Sanyal T, Tempkin J, Zheng D, Bharath K, Singla J, Wang C, Zhao J, Li A, Graham NA, Kesselman C, Stevens RC, Sali A. Bayesian metamodeling of complex biological systems across varying representations. Proc Natl Acad Sci U S A 2021; 118:e2104559118. [PMID: 34453000 PMCID: PMC8536362 DOI: 10.1073/pnas.2104559118] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Comprehensive modeling of a whole cell requires an integration of vast amounts of information on various aspects of the cell and its parts. To divide and conquer this task, we introduce Bayesian metamodeling, a general approach to modeling complex systems by integrating a collection of heterogeneous input models. Each input model can in principle be based on any type of data and can describe a different aspect of the modeled system using any mathematical representation, scale, and level of granularity. These input models are 1) converted to a standardized statistical representation relying on probabilistic graphical models, 2) coupled by modeling their mutual relations with the physical world, and 3) finally harmonized with respect to each other. To illustrate Bayesian metamodeling, we provide a proof-of-principle metamodel of glucose-stimulated insulin secretion by human pancreatic β-cells. The input models include a coarse-grained spatiotemporal simulation of insulin vesicle trafficking, docking, and exocytosis; a molecular network model of glucose-stimulated insulin secretion signaling; a network model of insulin metabolism; a structural model of glucagon-like peptide-1 receptor activation; a linear model of a pancreatic cell population; and ordinary differential equations for systemic postprandial insulin response. Metamodeling benefits from decentralized computing, while often producing a more accurate, precise, and complete model that contextualizes input models as well as resolves conflicting information. We anticipate Bayesian metamodeling will facilitate collaborative science by providing a framework for sharing expertise, resources, data, and models, as exemplified by the Pancreatic β-Cell Consortium.
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Affiliation(s)
- Barak Raveh
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158
- Quantitative Biosciences Institute, University of California, San Francisco, CA 94158
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 9190416, Israel
| | - Liping Sun
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
| | - Kate L White
- Department of Biological Sciences, Bridge Institute, University of Southern California, Los Angeles, CA 90089
| | - Tanmoy Sanyal
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158
- Quantitative Biosciences Institute, University of California, San Francisco, CA 94158
| | - Jeremy Tempkin
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158
- Quantitative Biosciences Institute, University of California, San Francisco, CA 94158
| | - Dongqing Zheng
- Mork Family Department of Chemical Engineering and Materials Science, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089
| | - Kala Bharath
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158
- Quantitative Biosciences Institute, University of California, San Francisco, CA 94158
| | - Jitin Singla
- Department of Biological Sciences, Bridge Institute, University of Southern California, Los Angeles, CA 90089
- Epstein Department of Industrial and Systems Engineering, The Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089
- Information Science Institute, The Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089
| | - Chenxi Wang
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Jihui Zhao
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
| | - Angdi Li
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Nicholas A Graham
- Mork Family Department of Chemical Engineering and Materials Science, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089
| | - Carl Kesselman
- Epstein Department of Industrial and Systems Engineering, The Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089
- Information Science Institute, The Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089
| | - Raymond C Stevens
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- Department of Biological Sciences, Bridge Institute, University of Southern California, Los Angeles, CA 90089
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Andrej Sali
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158;
- Quantitative Biosciences Institute, University of California, San Francisco, CA 94158
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158
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12
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White KL, Hird JFR, Taylor PM. Sevoflurane or isoflurane anaesthesia? A prospective, randomised blinded clinical trial in horses undergoing elective surgery. Vet Rec 2021; 189:e507. [PMID: 34047371 DOI: 10.1002/vetr.507] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 02/26/2021] [Accepted: 04/30/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Isoflurane is the only volatile anaesthetic agent licensed for equine use in the United Kingdom, but sevoflurane is also commonly used. The two agents have rarely been compared for use in clinical elective surgery. METHODS This single centre, prospective, randomised, blinded clinical investigation recruited 101 healthy client owned horses undergoing elective surgery. Anaesthesia was standardised and horses randomly assigned to receive isoflurane (I) or sevoflurane (S) for maintenance of anaesthesia in 100% oxygen. Horses were ventilated to normocapnia and received intravenous fluid therapy and haemodynamic support with dobutamine to maintain mean arterial blood pressure above 60 mm Hg. Recovery was timed and video-recorded to allow offline evaluation by two experienced clinicians unaware of the volatile agent used. No post-anaesthetic sedation was administered. RESULTS There was no significant difference between groups in terms of haemodynamic support required during anaesthesia nor in quality or duration of recovery. Inotropic support to maintain MAP above 60 mm Hg was required by 67 of 101 (67%) of horses. Five horses in the I group required additional ketamine or thiopentone to improve the plane of anaesthesia. CONCLUSIONS Haemodynamic support needed during anaesthesia as well as the duration and quality of recovery were similar with isoflurane and sevoflurane.
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Affiliation(s)
- Kate L White
- School of Veterinary Medicine and Science, University of Nottingham, Leicestershire, UK
| | - John F R Hird
- Shelf Equine Hospital, Lower Giles Hill Farm, Halifax, West Yorkshire, UK
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13
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Wang Z, Gurlo T, Matveyenko AV, Elashoff D, Wang P, Rosenberger M, Junge JA, Stevens RC, White KL, Fraser SE, Butler PC. Live-cell imaging of glucose-induced metabolic coupling of β and α cell metabolism in health and type 2 diabetes. Commun Biol 2021; 4:594. [PMID: 34012065 PMCID: PMC8134470 DOI: 10.1038/s42003-021-02113-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 04/15/2021] [Indexed: 12/18/2022] Open
Abstract
AbstractType 2 diabetes is characterized by β and α cell dysfunction. We used phasor-FLIM (Fluorescence Lifetime Imaging Microscopy) to monitor oxidative phosphorylation and glycolysis in living islet cells before and after glucose stimulation. In healthy cells, glucose enhanced oxidative phosphorylation in β cells and suppressed oxidative phosphorylation in α cells. In Type 2 diabetes, glucose increased glycolysis in β cells, and only partially suppressed oxidative phosphorylation in α cells. FLIM uncovers key perturbations in glucose induced metabolism in living islet cells and provides a sensitive tool for drug discovery in diabetes.
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14
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Singla J, White KL, Stevens RC, Alber F. Assessment of scoring functions to rank the quality of 3D subtomogram clusters from cryo-electron tomography. J Struct Biol 2021; 213:107727. [PMID: 33753204 DOI: 10.1016/j.jsb.2021.107727] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 03/12/2021] [Accepted: 03/17/2021] [Indexed: 11/17/2022]
Abstract
Cryo-electron tomography provides the opportunity for unsupervised discovery of endogenous complexes in situ. This process usually requires particle picking, clustering and alignment of subtomograms to produce an average structure of the complex. When applied to heterogeneous samples, template-free clustering and alignment of subtomograms can potentially lead to the discovery of structures for unknown endogenous complexes. However, such methods require scoring functions to measure and accurately rank the quality of aligned subtomogram clusters, which can be compromised by contaminations from misclassified complexes and alignment errors. Here, we provide the first study to assess the effectiveness of more than 15 scoring functions for evaluating the quality of subtomogram clusters, which differ in the amount of structural misalignments and contaminations due to misclassified complexes. We assessed both experimental and simulated subtomograms as ground truth data sets. Our analysis showed that the robustness of scoring functions varies largely. Most scores were sensitive to the signal-to-noise ratio of subtomograms and often required Gaussian filtering as preprocessing for improved performance. Two scoring functions, Spectral SNR-based Fourier Shell Correlation and Pearson Correlation in the Fourier domain with missing wedge correction, showed a robust ranking of subtomogram clusters without any preprocessing and irrespective of SNR levels of subtomograms. Of these two scoring functions, Spectral SNR-based Fourier Shell Correlation was fastest to compute and is a better choice for handling large numbers of subtomograms. Our results provide a guidance for choosing an accurate scoring function for template-free approaches to detect complexes from heterogeneous samples.
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Affiliation(s)
- Jitin Singla
- Institute for Quantitative and Computational Biosciences, Department of Microbiology, Immunology, and Molecular Genetics, University of California Los Angeles, 520 Boyer Hall, Los Angeles, CA 90095, USA; Quantitative and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, CA 90089, USA; Department of Biological Sciences, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Kate L White
- Department of Biological Sciences, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Raymond C Stevens
- Department of Biological Sciences, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Frank Alber
- Institute for Quantitative and Computational Biosciences, Department of Microbiology, Immunology, and Molecular Genetics, University of California Los Angeles, 520 Boyer Hall, Los Angeles, CA 90095, USA; Quantitative and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, CA 90089, USA.
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15
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Zhang X, Carter SD, Singla J, White KL, Butler PC, Stevens RC, Jensen GJ. Visualizing insulin vesicle neighborhoods in β cells by cryo-electron tomography. Sci Adv 2020; 6:eabc8258. [PMID: 33298442 PMCID: PMC7725471 DOI: 10.1126/sciadv.abc8258] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Accepted: 10/22/2020] [Indexed: 05/04/2023]
Abstract
Subcellular neighborhoods, comprising specific ratios of organelles and proteins, serve a multitude of biological functions and are of particular importance in secretory cells. However, the role of subcellular neighborhoods in insulin vesicle maturation is poorly understood. Here, we present single-cell multiple distinct tomogram acquisitions of β cells for in situ visualization of distinct subcellular neighborhoods that are involved in the insulin vesicle secretory pathway. We propose that these neighborhoods play an essential role in the specific function of cellular material. In the regions where we observed insulin vesicles, a measurable increase in both the fraction of cellular volume occupied by vesicles and the average size (diameter) of the vesicles was apparent as sampling moved from the area near the nucleus toward the plasma membrane. These findings describe the important role of the nanometer-scale organization of subcellular neighborhoods on insulin vesicle maturation.
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Affiliation(s)
- Xianjun Zhang
- Department of Biological Sciences, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Stephen D Carter
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Jitin Singla
- Department of Biological Sciences, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Kate L White
- Department of Biological Sciences, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Peter C Butler
- Larry Hillblom Islet Research Center, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Raymond C Stevens
- Department of Biological Sciences, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.
- Department of Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Grant J Jensen
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
- Howard Hughes Medical Institute (HHMI), California Institute of Technology, Pasadena, CA 91125, USA
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16
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White KL, Singla J, Loconte V, Chen JH, Ekman A, Sun L, Zhang X, Francis JP, Li A, Lin W, Tseng K, McDermott G, Alber F, Sali A, Larabell C, Stevens RC. Visualizing subcellular rearrangements in intact β cells using soft x-ray tomography. Sci Adv 2020; 6:eabc8262. [PMID: 33298443 PMCID: PMC7725475 DOI: 10.1126/sciadv.abc8262] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 10/21/2020] [Indexed: 05/21/2023]
Abstract
Characterizing relationships between cell structures and functions requires mesoscale mapping of intact cells showing subcellular rearrangements following stimulation; however, current approaches are limited in this regard. Here, we report a unique application of soft x-ray tomography to generate three-dimensional reconstructions of whole pancreatic β cells at different time points following glucose-stimulated insulin secretion. Reconstructions following stimulation showed distinct insulin vesicle distribution patterns reflective of altered vesicle pool sizes as they travel through the secretory pathway. Our results show that glucose stimulation caused rapid changes in biochemical composition and/or density of insulin packing, increased mitochondrial volume, and closer proximity of insulin vesicles to mitochondria. Costimulation with exendin-4 (a glucagon-like peptide-1 receptor agonist) prolonged these effects and increased insulin packaging efficiency and vesicle maturation. This study provides unique perspectives on the coordinated structural reorganization and interactions of organelles that dictate cell responses.
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Affiliation(s)
- Kate L White
- Department of Biological Sciences, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Jitin Singla
- Department of Biological Sciences, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
- Institute for Quantitative and Computational Biosciences, Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Valentina Loconte
- iHuman Institute, School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Jian-Hua Chen
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Axel Ekman
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Liping Sun
- iHuman Institute, School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Xianjun Zhang
- Department of Biological Sciences, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - John Paul Francis
- Department of Computer Science, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Angdi Li
- iHuman Institute, School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Wen Lin
- Department of Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Kaylee Tseng
- Department of Biological Sciences, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Gerry McDermott
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Frank Alber
- Department of Biological Sciences, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
- Institute for Quantitative and Computational Biosciences, Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Andrej Sali
- California Institute for Quantitative Biosciences, Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA.
| | - Carolyn Larabell
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Raymond C Stevens
- Department of Biological Sciences, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.
- iHuman Institute, School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
- Department of Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
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17
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Lamichhane R, Liu JJ, White KL, Katritch V, Stevens RC, Wüthrich K, Millar DP. Biased Signaling of the G-Protein-Coupled Receptor β 2AR Is Governed by Conformational Exchange Kinetics. Structure 2020; 28:371-377.e3. [PMID: 31978323 DOI: 10.1016/j.str.2020.01.001] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Revised: 10/11/2019] [Accepted: 01/03/2020] [Indexed: 01/14/2023]
Abstract
G-protein-coupled receptors (GPCRs) mediate a wide range of human physiological functions by transducing extracellular ligand binding events into intracellular responses. GPCRs can activate parallel, independent signaling pathways mediated by G proteins or β-arrestins. Whereas "balanced" agonists activate both pathways equally, "biased" agonists dominantly activate one pathway, which is of interest for designing GPCR-targeting drugs because it may mitigate undesirable side effects. Previous studies demonstrated that β-arrestin activation is associated with transmembrane helix VII (TM VII) of GPCRs. Here, single-molecule fluorescence spectroscopy with the β2-adrenergic receptor (β2AR) in the ligand-free state showed that TM VII spontaneously fluctuates between one inactive and one active-like conformation. The presence of the β-arrestin-biased agonist isoetharine prolongs the dwell time of TM VII in the active-like conformation compared with the balanced agonist formoterol, suggesting that ligands can induce signaling bias by modulating the kinetics of receptor conformational exchange.
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Affiliation(s)
- Rajan Lamichhane
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Jeffrey J Liu
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Kate L White
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Childs Way, MC3502, Los Angeles, CA 90089, USA
| | - Vsevolod Katritch
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Childs Way, MC3502, Los Angeles, CA 90089, USA
| | - Raymond C Stevens
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Childs Way, MC3502, Los Angeles, CA 90089, USA
| | - Kurt Wüthrich
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA; Skaggs Institute of Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - David P Millar
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA.
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18
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Berman HM, Adams PD, Bonvin AA, Burley SK, Carragher B, Chiu W, DiMaio F, Ferrin TE, Gabanyi MJ, Goddard TD, Griffin PR, Haas J, Hanke CA, Hoch JC, Hummer G, Kurisu G, Lawson CL, Leitner A, Markley JL, Meiler J, Montelione GT, Phillips GN, Prisner T, Rappsilber J, Schriemer DC, Schwede T, Seidel CAM, Strutzenberg TS, Svergun DI, Tajkhorshid E, Trewhella J, Vallat B, Velankar S, Vuister GW, Webb B, Westbrook JD, White KL, Sali A. Federating Structural Models and Data: Outcomes from A Workshop on Archiving Integrative Structures. Structure 2019; 27:1745-1759. [PMID: 31780431 DOI: 10.1016/j.str.2019.11.002] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 10/31/2019] [Accepted: 11/06/2019] [Indexed: 12/23/2022]
Abstract
Structures of biomolecular systems are increasingly computed by integrative modeling. In this approach, a structural model is constructed by combining information from multiple sources, including varied experimental methods and prior models. In 2019, a Workshop was held as a Biophysical Society Satellite Meeting to assess progress and discuss further requirements for archiving integrative structures. The primary goal of the Workshop was to build consensus for addressing the challenges involved in creating common data standards, building methods for federated data exchange, and developing mechanisms for validating integrative structures. The summary of the Workshop and the recommendations that emerged are presented here.
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Affiliation(s)
- Helen M Berman
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA; Bridge Institute, Michelson Center, University of Southern California, Los Angeles, CA 90089, USA.
| | - Paul D Adams
- Physical Biosciences Division, Lawrence Berkeley Laboratory, Berkeley, CA 94720-8235, USA; Department of Bioengineering, University of California-Berkeley, Berkeley, CA 94720, USA
| | - Alexandre A Bonvin
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands
| | - Stephen K Burley
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, The State University of New Jersey, Piscataway, NJ 08854, USA; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Skaggs School of Pharmacy and Pharmaceutical Sciences and San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA; Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ 08903, USA
| | - Bridget Carragher
- Simons Electron Microscopy Center, New York Structural Biology Center, New York, NY 10027, USA; Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA
| | - Wah Chiu
- Department of Bioengineering, Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305-5447, USA; SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
| | - Frank DiMaio
- Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Thomas E Ferrin
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Margaret J Gabanyi
- Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Thomas D Goddard
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | | | - Juergen Haas
- Swiss Institute of Bioinformatics and Biozentrum, University of Basel, 4056 Basel, Switzerland
| | - Christian A Hanke
- Molecular Physical Chemistry, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany
| | - Jeffrey C Hoch
- Department of Molecular Biology and Biophysics, UConn Health, Farmington, CT 06030, USA
| | - Gerhard Hummer
- Department of Theoretical Biophysics, Max Planck Institute of Biophysics, 60438 Frankfurt am Main, Germany; Institute for Biophysics, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany
| | - Genji Kurisu
- Protein Data Bank Japan (PDBj), Institute for Protein Research, Osaka University, Osaka 565-0871, Japan
| | - Catherine L Lawson
- Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Alexander Leitner
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland
| | - John L Markley
- BioMagResBank (BMRB), Biochemistry Department, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Jens Meiler
- Center for Structural Biology, Vanderbilt University, 465 21st Avenue South, Nashville, TN 37221, USA
| | - Gaetano T Montelione
- Center for Advanced Biotechnology and Medicine, Department of Molecular Biology and Biochemistry, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Department of Biochemistry, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytech Institute, Troy, NY 12180, USA
| | - George N Phillips
- BioSciences at Rice and Department of Chemistry, Rice University, Houston, TX 77251, USA
| | - Thomas Prisner
- Institute of Physical and Theoretical Chemistry and Center of Biomolecular Magnetic Resonance, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany
| | - Juri Rappsilber
- Wellcome Trust Centre for Cell Biology, Edinburgh EH9 3JR, Scotland
| | - David C Schriemer
- Department of Biochemistry & Molecular Biology, Robson DNA Science Centre, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Torsten Schwede
- Swiss Institute of Bioinformatics and Biozentrum, University of Basel, 4056 Basel, Switzerland
| | - Claus A M Seidel
- Molecular Physical Chemistry, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany
| | | | - Dmitri I Svergun
- European Molecular Biology Laboratory (EMBL), Hamburg Outstation, Notkestrasse 85, 22607 Hamburg, Germany
| | - Emad Tajkhorshid
- Department of Biochemistry, NIH Center for Macromolecular Modeling and Bioinformatics, Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Jill Trewhella
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia; Department of Chemistry, University of Utah, Salt Lake City, UT 84112, USA
| | - Brinda Vallat
- Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Sameer Velankar
- Protein Data Bank in Europe (PDBe), European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridgeshire CB10 1SD, UK
| | - Geerten W Vuister
- Department of Molecular and Cell Biology, Leicester Institute of Structural and Chemical Biology, University of Leicester, Leicester LE1 9HN, UK
| | - Benjamin Webb
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - John D Westbrook
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, The State University of New Jersey, Piscataway, NJ 08854, USA; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Kate L White
- Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA; Bridge Institute, Michelson Center, University of Southern California, Los Angeles, CA 90089, USA
| | - Andrej Sali
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
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Abstract
Objectives: The aim of the study was to evaluate the analgesia and recovery effects of two doses (0.12 mg/kg and 0.24 mg/kg) of subcutaneous buprenorphine in cats undergoing ovariohysterectomy. Methods: This was an assessor-blinded, randomised, clinical study. A total of 83 cats were recruited and randomly allocated to receive 0.12 mg/kg buprenorphine or 0.24 mg/kg buprenorphine subcutaneously, followed 30 minutes later by 40 μg/kg medetomidine intramuscularly. Anaesthesia was induced with intravenous alfaxalone to effect and maintained with isoflurane in oxygen. All cats received meloxicam before surgery. Temperament score, quality of sedation, induction of anaesthesia, dose of alfaxalone and recovery were scored using simple descriptive scales. Atipamazole was administered following surgery. Physiological variables during anaesthesia were recorded. Cats were assessed postoperatively by the same blinded observer at 2, 4 and 24 hours using a modified Colorado Feline Acute Pain scale. The presence or absence of mydriasis was noted. Results: No significant differences were identified between groups. Three cats in the 0.12 mg/kg group and four in the 0.24 mg/kg group required rescue analgesia. Mydriasis persisting for at least 24 hours was evident in 75 cats. Conclusions and relevance: No differences in analgesia were detected between groups with these protocols; mydriasis was common in both groups.
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Affiliation(s)
- Rosa Leedham
- RSPCA Greater Manchester Animal Hospital, 411 Eccles New Rd, Salford M5 5NN, UK
| | - Kate L White
- School of Veterinary Medicine and Science, University of Nottingham, Loughborough UK
| | - David Yates
- RSPCA Greater Manchester Animal Hospital, 411 Eccles New Rd, Salford M5 5NN, UK
| | - Lauren Brown
- School of Veterinary Medicine and Science, University of Nottingham, Loughborough UK
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20
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Claff T, Yu J, Blais V, Patel N, Martin C, Wu L, Han GW, Holleran BJ, Van der Poorten O, White KL, Hanson MA, Sarret P, Gendron L, Cherezov V, Katritch V, Ballet S, Liu ZJ, Müller CE, Stevens RC. Elucidating the active δ-opioid receptor crystal structure with peptide and small-molecule agonists. Sci Adv 2019; 5:eaax9115. [PMID: 31807708 PMCID: PMC6881160 DOI: 10.1126/sciadv.aax9115] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 09/25/2019] [Indexed: 05/13/2023]
Abstract
Selective activation of the δ-opioid receptor (DOP) has great potential for the treatment of chronic pain, benefitting from ancillary anxiolytic and antidepressant-like effects. Moreover, DOP agonists show reduced adverse effects as compared to μ-opioid receptor (MOP) agonists that are in the spotlight of the current "opioid crisis." Here, we report the first crystal structures of the DOP in an activated state, in complex with two relevant and structurally diverse agonists: the potent opioid agonist peptide KGCHM07 and the small-molecule agonist DPI-287 at 2.8 and 3.3 Å resolution, respectively. Our study identifies key determinants for agonist recognition, receptor activation, and DOP selectivity, revealing crucial differences between both agonist scaffolds. Our findings provide the first investigation into atomic-scale agonist binding at the DOP, supported by site-directed mutagenesis and pharmacological characterization. These structures will underpin the future structure-based development of DOP agonists for an improved pain treatment with fewer adverse effects.
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Affiliation(s)
- Tobias Claff
- iHuman Institute, ShanghaiTech University, Ren Building, 393 Middle Huaxia Rd, Pudong, Shanghai 201210, China
- PharmaCenter Bonn, University of Bonn, Pharmaceutical Chemistry I, An der Immenburg 4, D-53121 Bonn, Germany
| | - Jing Yu
- iHuman Institute, ShanghaiTech University, Ren Building, 393 Middle Huaxia Rd, Pudong, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
- CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Véronique Blais
- Department of Pharmacology-Physiology, Faculty of Medicine and Health Sciences, Institut de Pharmacologie de Sherbrooke, Centre de Recherche du CHUS, Université de Sherbrooke, 3001 12e Avenue Nord, Sherbrooke, Quebec J1H 5N4, Canada
| | - Nilkanth Patel
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Charlotte Martin
- Research Group of Organic Chemistry, Departments of Chemistry and Bioengineering Sciences, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium
| | - Lijie Wu
- iHuman Institute, ShanghaiTech University, Ren Building, 393 Middle Huaxia Rd, Pudong, Shanghai 201210, China
| | - Gye Won Han
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Brian J. Holleran
- Department of Pharmacology-Physiology, Faculty of Medicine and Health Sciences, Institut de Pharmacologie de Sherbrooke, Centre de Recherche du CHUS, Université de Sherbrooke, 3001 12e Avenue Nord, Sherbrooke, Quebec J1H 5N4, Canada
| | - Olivier Van der Poorten
- Research Group of Organic Chemistry, Departments of Chemistry and Bioengineering Sciences, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium
| | - Kate L. White
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | | | - Philippe Sarret
- Department of Pharmacology-Physiology, Faculty of Medicine and Health Sciences, Institut de Pharmacologie de Sherbrooke, Centre de Recherche du CHUS, Université de Sherbrooke, 3001 12e Avenue Nord, Sherbrooke, Quebec J1H 5N4, Canada
| | - Louis Gendron
- Department of Pharmacology-Physiology, Faculty of Medicine and Health Sciences, Institut de Pharmacologie de Sherbrooke, Centre de Recherche du CHUS, Université de Sherbrooke, 3001 12e Avenue Nord, Sherbrooke, Quebec J1H 5N4, Canada
| | - Vadim Cherezov
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Vsevolod Katritch
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Steven Ballet
- Research Group of Organic Chemistry, Departments of Chemistry and Bioengineering Sciences, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium
| | - Zhi-Jie Liu
- iHuman Institute, ShanghaiTech University, Ren Building, 393 Middle Huaxia Rd, Pudong, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Christa E. Müller
- PharmaCenter Bonn, University of Bonn, Pharmaceutical Chemistry I, An der Immenburg 4, D-53121 Bonn, Germany
- Corresponding author. (C.E.M.); (R.C.S.)
| | - Raymond C. Stevens
- iHuman Institute, ShanghaiTech University, Ren Building, 393 Middle Huaxia Rd, Pudong, Shanghai 201210, China
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
- Corresponding author. (C.E.M.); (R.C.S.)
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21
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Gutierrez MG, Deyell J, White KL, Dalle Ore LC, Cherezov V, Stevens RC, Malmstadt N. The lipid phase preference of the adenosine A 2A receptor depends on its ligand binding state. Chem Commun (Camb) 2019; 55:5724-5727. [PMID: 31038495 PMCID: PMC6561478 DOI: 10.1039/c8cc10130b] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Giant unilamellar protein vesicles (GUPs) were formed with the adenosine A2A receptor (A2AR) incorporated in the lipid bilayer and protein partitioning into the liquid ordered and liquid disordered phases was observed. When no ligand is bound, A2AR partitions preferentially into the liquid disordered phase of GUPs, while ligand-bound A2AR partitions into the liquid ordered phase.
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Affiliation(s)
- M Gertrude Gutierrez
- Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California 90089, USA.
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Mahdmina A, Evans A, Yates D, White KL. Comparison of the effects of buprenorphine and methadone in combination with medetomidine followed by intramuscular alfaxalone for anaesthesia of cats undergoing ovariohysterectomy. J Feline Med Surg 2019; 22:77-83. [DOI: 10.1177/1098612x19826357] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Objectives The aim of this study was to compare the quality of anaesthesia and analgesia between methadone and buprenorphine in combination with medetomidine after induction with intramuscular (IM) alfaxalone in cats undergoing ovariohysterectomy. Methods Fifty-one female cats (American Society of Anesthesiologists status I–II), with a median age of 12 months (range 2–60 months), weighing a mean ± SD of 2.5 ± 0.5 kg, were recruited to the study. Cats were randomly allocated to receive medetomidine (600 µg/m2) and buprenorphine (180 µg/m2) (group MB) or medetomidine (500 µg/m2) and methadone (5 mg/m2) (group MM) IM. Anaesthesia was induced 15 mins later using alfaxalone (3 mg/kg) IM. Anaesthesia was maintained with isoflurane in oxygen. All cats received meloxicam preoperatively. Quality of premedication and induction and intraoperative physiological parameters were recorded. Atipamezole (50% of medetomidine dose) was administered at the end of surgery. Cats were assessed postoperatively by the same blinded observer using a simple descriptive scale, numeric rating scale, dynamic interactive visual analogue scale (DIVAS) and UNESP-Botucatu multidimensional composite pain scales, at 10, 20 and 30 mins post-extubation. Parametric and non-parametric data were compared using Student’s t-test or Mann–Whitney U-tests, respectively. Results Forty-one cats completed the study. No significant differences were detected between groups before or during anaesthesia. No cats required rescue analgesia. DIVAS scores at 10 mins were significantly less in the MM group compared with the MB. No differences between groups at any other time points were detected using the four metrology instruments. Conclusions and relevance Both protocols provided good anaesthesia conditions for ovariohysterectomy in the cat.
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Affiliation(s)
| | | | - David Yates
- RSPCA Greater Manchester Animal Hospital, Salford, UK
| | - Kate L White
- School of Veterinary Medicine and Science, University of Nottingham, Loughborough, UK
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23
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White KL, Singla J, Francis J, Chen JH, Ekman A, Larabell C, Stevens RC. Mesoscale Architecture of Beta Cells Upon Glucose and Ex-4 Stimulation. Biophys J 2019. [DOI: 10.1016/j.bpj.2018.11.2322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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24
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Audet M, White KL, Breton B, Zarzycka B, Han GW, Lu Y, Gati C, Batyuk A, Popov P, Velasquez J, Manahan D, Hu H, Weierstall U, Liu W, Shui W, Katritch V, Cherezov V, Hanson MA, Stevens RC. Crystal structure of misoprostol bound to the labor inducer prostaglandin E 2 receptor. Nat Chem Biol 2019; 15:11-17. [PMID: 30510194 PMCID: PMC6289721 DOI: 10.1038/s41589-018-0160-y] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 09/05/2018] [Indexed: 01/07/2023]
Abstract
Misoprostol is a life-saving drug in many developing countries for women at risk of post-partum hemorrhaging owing to its affordability, stability, ease of administration and clinical efficacy. However, misoprostol lacks receptor and tissue selectivities, and thus its use is accompanied by a number of serious side effects. The development of pharmacological agents combining the advantages of misoprostol with improved selectivity is hindered by the absence of atomic details of misoprostol action in labor induction. Here, we present the 2.5 Å resolution crystal structure of misoprostol free-acid form bound to the myometrium labor-inducing prostaglandin E2 receptor 3 (EP3). The active state structure reveals a completely enclosed binding pocket containing a structured water molecule that coordinates misoprostol's ring structure. Modeling of selective agonists in the EP3 structure reveals rationales for selectivity. These findings will provide the basis for the next generation of uterotonic drugs that will be suitable for administration in low resource settings.
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Affiliation(s)
- Martin Audet
- Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
| | - Kate L. White
- Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
| | - Billy Breton
- Domain Therapeutics NA Inc., Frederick-Banting Road, Montreal H4S 1Z9, Canada
| | - Barbara Zarzycka
- Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
| | - Gye Won Han
- Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
| | - Yan Lu
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China,School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Cornelius Gati
- Linac Coherent Light Source, SLAC, National Accelerator Laboratory, Menlo Park, California 94025, USA,Stanford University, Department of Structural Biology, Palo Alto, California 94305, USA
| | - Alexander Batyuk
- Linac Coherent Light Source, SLAC, National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - Petr Popov
- Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA,Moscow Institute of Physics and Technology, Dolgoprudny, 141700, Russia
| | - Jeffrey Velasquez
- Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
| | - David Manahan
- Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA
| | - Hao Hu
- Biodesign Center for Applied Structural Discovery, Biodesign Institute, School of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, USA
| | - Uwe Weierstall
- Biodesign Center for Applied Structural Discovery, Biodesign Institute, School of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, USA
| | - Wei Liu
- Biodesign Center for Applied Structural Discovery, Biodesign Institute, School of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, USA
| | - Wenqing Shui
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China,School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Vsevolod Katritch
- Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA,Moscow Institute of Physics and Technology, Dolgoprudny, 141700, Russia
| | - Vadim Cherezov
- Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA,Moscow Institute of Physics and Technology, Dolgoprudny, 141700, Russia
| | | | - Raymond C. Stevens
- Departments of Biological Sciences and Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, USA,Correspondence:
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25
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Singla J, McClary KM, White KL, Alber F, Sali A, Stevens RC. Opportunities and Challenges in Building a Spatiotemporal Multi-scale Model of the Human Pancreatic β Cell. Cell 2018; 173:11-19. [PMID: 29570991 PMCID: PMC6014618 DOI: 10.1016/j.cell.2018.03.014] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Revised: 11/25/2017] [Accepted: 03/06/2018] [Indexed: 12/25/2022]
Abstract
The construction of a predictive model of an entire eukaryotic cell that describes its dynamic structure from atomic to cellular scales is a grand challenge at the intersection of biology, chemistry, physics, and computer science. Having such a model will open new dimensions in biological research and accelerate healthcare advancements. Developing the necessary experimental and modeling methods presents abundant opportunities for a community effort to realize this goal. Here, we present a vision for creation of a spatiotemporal multi-scale model of the pancreatic β-cell, a relevant target for understanding and modulating the pathogenesis of diabetes.
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Affiliation(s)
- Jitin Singla
- Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA; Department of Biological Sciences, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Kyle M McClary
- Department of Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Kate L White
- Department of Biological Sciences, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA; Department of Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA
| | - Frank Alber
- Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA; Department of Biological Sciences, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.
| | - Andrej Sali
- California Institute for Quantitative Biosciences, Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA.
| | - Raymond C Stevens
- Department of Biological Sciences, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA; Department of Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.
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26
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White KL, Eddy MT, Gao ZG, Han GW, Lian T, Deary A, Patel N, Jacobson KA, Katritch V, Stevens RC. Structural Connection between Activation Microswitch and Allosteric Sodium Site in GPCR Signaling. Structure 2018; 26:259-269.e5. [PMID: 29395784 DOI: 10.1016/j.str.2017.12.013] [Citation(s) in RCA: 103] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 11/21/2017] [Accepted: 12/27/2017] [Indexed: 12/18/2022]
Abstract
Sodium ions are endogenous allosteric modulators of many G-protein-coupled receptors (GPCRs). Mutation of key residues in the sodium binding motif causes a striking effect on G-protein signaling. We report the crystal structures of agonist complexes for two variants in the first sodium coordination shell of the human A2A adenosine receptor, D522.50N and S913.39A. Both structures present an overall active-like conformation; however, the variants show key changes in the activation motif NPxxY. Changes in the hydrogen bonding network in this microswitch suggest a possible mechanism for modified G-protein signaling and enhanced thermal stability. These structures, signaling data, and thermal stability analysis with a panel of pharmacological ligands provide a basis for understanding the role of the sodium-coordinating residues on stability and G-protein signaling. Utilizing the D2.50N variant is a promising method for stabilizing class A GPCRs to accelerate structural efforts and drug discovery.
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Affiliation(s)
- Kate L White
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA 90089, USA
| | - Matthew T Eddy
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA 90089, USA
| | - Zhan-Guo Gao
- Laboratory of Bioorganic Chemistry, NIDDK, National Institutes of Health, Bethesda, MD 20892, USA
| | - Gye Won Han
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA 90089, USA
| | - Tiffany Lian
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA 90089, USA
| | - Alexander Deary
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA 90089, USA
| | - Nilkanth Patel
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA 90089, USA
| | - Kenneth A Jacobson
- Laboratory of Bioorganic Chemistry, NIDDK, National Institutes of Health, Bethesda, MD 20892, USA
| | - Vsevolod Katritch
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA 90089, USA
| | - Raymond C Stevens
- Departments of Biological Sciences and Chemistry, Bridge Institute, USC Michelson Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA 90089, USA.
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27
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Eddy MT, Lee MY, Gao ZG, White KL, Didenko T, Horst R, Audet M, Stanczak P, McClary KM, Han GW, Jacobson KA, Stevens RC, Wüthrich K. Allosteric Coupling of Drug Binding and Intracellular Signaling in the A 2A Adenosine Receptor. Cell 2018; 172:68-80.e12. [PMID: 29290469 PMCID: PMC5766378 DOI: 10.1016/j.cell.2017.12.004] [Citation(s) in RCA: 100] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2017] [Revised: 09/05/2017] [Accepted: 11/30/2017] [Indexed: 10/18/2022]
Abstract
Signaling across cellular membranes, the 826 human G protein-coupled receptors (GPCRs) govern a wide range of vital physiological processes, making GPCRs prominent drug targets. X-ray crystallography provided GPCR molecular architectures, which also revealed the need for additional structural dynamics data to support drug development. Here, nuclear magnetic resonance (NMR) spectroscopy with the wild-type-like A2A adenosine receptor (A2AAR) in solution provides a comprehensive characterization of signaling-related structural dynamics. All six tryptophan indole and eight glycine backbone 15N-1H NMR signals in A2AAR were individually assigned. These NMR probes provided insight into the role of Asp522.50 as an allosteric link between the orthosteric drug binding site and the intracellular signaling surface, revealing strong interactions with the toggle switch Trp 2466.48, and delineated the structural response to variable efficacy of bound drugs across A2AAR. The present data support GPCR signaling based on dynamic interactions between two semi-independent subdomains connected by an allosteric switch at Asp522.50.
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Affiliation(s)
- Matthew T Eddy
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA; Departments of Biological Sciences and Chemistry, Bridge Institute, University of Southern California, Los Angeles, CA 90089, USA
| | - Ming-Yue Lee
- Departments of Biological Sciences and Chemistry, Bridge Institute, University of Southern California, Los Angeles, CA 90089, USA
| | - Zhan-Guo Gao
- Laboratory of Bioorganic Chemistry, NIDDK, National Institutes of Health, Bethesda, MD 20892, USA
| | - Kate L White
- Departments of Biological Sciences and Chemistry, Bridge Institute, University of Southern California, Los Angeles, CA 90089, USA
| | - Tatiana Didenko
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Reto Horst
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA; Pfizer Worldwide Research and Development, Eastern Point Road, Groton, CT 06340, USA
| | - Martin Audet
- Departments of Biological Sciences and Chemistry, Bridge Institute, University of Southern California, Los Angeles, CA 90089, USA
| | - Pawel Stanczak
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Kyle M McClary
- Departments of Biological Sciences and Chemistry, Bridge Institute, University of Southern California, Los Angeles, CA 90089, USA
| | - Gye Won Han
- Departments of Biological Sciences and Chemistry, Bridge Institute, University of Southern California, Los Angeles, CA 90089, USA
| | - Kenneth A Jacobson
- Laboratory of Bioorganic Chemistry, NIDDK, National Institutes of Health, Bethesda, MD 20892, USA
| | - Raymond C Stevens
- Departments of Biological Sciences and Chemistry, Bridge Institute, University of Southern California, Los Angeles, CA 90089, USA
| | - Kurt Wüthrich
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA; Skaggs Institute of Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
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28
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White KL, Varrassi E, Routledge JA, Barraclough LH, Livsey JE, McLaughlin J, Davidson SE. Does the Use of Volumetric Modulated Arc Therapy Reduce Gastrointestinal Symptoms after Pelvic Radiotherapy? Clin Oncol (R Coll Radiol) 2017; 30:e22-e28. [PMID: 29129469 DOI: 10.1016/j.clon.2017.10.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Revised: 10/03/2017] [Accepted: 10/12/2017] [Indexed: 10/18/2022]
Abstract
AIMS Growing numbers of patients with cancer are surviving after treatment with pelvic radiotherapy. We evaluated the technique of volumetric modulated arc therapy (VMAT), which delivers a decreased dose to the organs at risk. We aimed to determine outcomes of this technique in terms of patient-reported acute toxicity and late effects and correlate the frequency of gastrointestinal symptoms with the volume of bowel receiving radiation dose. MATERIALS AND METHODS Patients who were to receive VMAT for gynaecological malignancy completed patient-reported outcomes at baseline, the end of treatment, 8 weeks and 1 year. The rates of patient-reported toxicity were correlated with the volume of bowel irradiated. RESULTS The frequencies of patient-reported gastrointestinal symptoms increased in the acute toxicity phase and tended to improve at 1 year, with the exception of faecal incontinence and rectal bleeding (P < 0.05). There was not a strong association between the volume of small bowel that was irradiated (P > 0.05 at all dose levels) and reported toxicity, suggesting that other factors are involved in the development of toxicity. CONCLUSION Although VMAT decreases the dose delivered to the small bowel, this does not translate into a reduction in patient-reported toxicity.
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Affiliation(s)
- K L White
- The Christie NHS Foundation Trust, Manchester, UK.
| | - E Varrassi
- The Christie NHS Foundation Trust, Manchester, UK
| | | | | | - J E Livsey
- The Christie NHS Foundation Trust, Manchester, UK
| | - J McLaughlin
- The University of Manchester, Manchester, UK; Salford Royal NHS Foundation Trust, UK
| | - S E Davidson
- The Christie NHS Foundation Trust, Manchester, UK
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29
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White KL, Paine S, Harris J. A clinical evaluation of the pharmacokinetics and pharmacodynamics of intravenous alfaxalone in cyclodextrin in male and female rats following a loading dose and constant rate infusion. Vet Anaesth Analg 2017; 44:865-875. [DOI: 10.1016/j.vaa.2017.01.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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30
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Zhang H, Han GW, Batyuk A, Ishchenko A, White KL, Patel N, Sadybekov A, Zamlynny B, Rudd MT, Hollenstein K, Tolstikova A, White TA, Hunter MS, Weierstall U, Liu W, Babaoglu K, Moore EL, Katz RD, Shipman JM, Garcia-Calvo M, Sharma S, Sheth P, Soisson SM, Stevens RC, Katritch V, Cherezov V. Structural basis for selectivity and diversity in angiotensin II receptors. Nature 2017; 544:327-332. [PMID: 28379944 PMCID: PMC5525545 DOI: 10.1038/nature22035] [Citation(s) in RCA: 150] [Impact Index Per Article: 21.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 03/03/2017] [Indexed: 12/22/2022]
Abstract
Angiotensin II receptors, AT1R and AT2R, serve as key components of the renin-angiotensin-aldosterone system. While AT1R plays a central role in the regulation of blood pressure, the function of AT2R is enigmatic with a variety of reported effects. To elucidate the mechanisms for the functional diversity and ligand selectivity between these receptors, we report crystal structures of the human AT2R bound to an AT2R-selective and an AT1R/AT2R-dual ligand, respectively, capturing the receptor in an active-like conformation. Unexpectedly, helix VIII was found in a non-canonical position, stabilizing the active-like state, but at the same time preventing the recruitment of G proteins/β-arrestins, in agreement with the lack of signaling responses in standard cellular assays. Structure-activity relationship, docking and mutagenesis studies revealed the interactions critical for ligand binding and selectivity. Our results thus provide insights into the structural basis for distinct functions of the angiotensin receptors, and may guide the design of novel selective ligands.
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Affiliation(s)
- Haitao Zhang
- Department of Chemistry, Bridge Institute, University of Southern California, Los Angeles, California 90089, USA.,Institute of Pharmacology and Toxicology, College of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, China
| | - Gye Won Han
- Department of Chemistry, Bridge Institute, University of Southern California, Los Angeles, California 90089, USA
| | - Alexander Batyuk
- Linac Coherent Light Source, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, USA
| | - Andrii Ishchenko
- Department of Chemistry, Bridge Institute, University of Southern California, Los Angeles, California 90089, USA
| | - Kate L White
- Department of Chemistry, Bridge Institute, University of Southern California, Los Angeles, California 90089, USA.,Department of Biological Sciences, Bridge Institute, University of Southern California, Los Angeles, California 90089, USA
| | - Nilkanth Patel
- Department of Biological Sciences, Bridge Institute, University of Southern California, Los Angeles, California 90089, USA
| | - Anastasiia Sadybekov
- Department of Chemistry, Bridge Institute, University of Southern California, Los Angeles, California 90089, USA
| | - Beata Zamlynny
- MRL, Merck &Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, USA
| | - Michael T Rudd
- MRL, Merck &Co., Inc., 770 Sumneytown Pike, West Point, Pennsylvania 19486, USA
| | - Kaspar Hollenstein
- MRL, Merck &Co., Inc., 770 Sumneytown Pike, West Point, Pennsylvania 19486, USA
| | - Alexandra Tolstikova
- Center for Free Electron Laser Science, Deutsches Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany.,Department of Physics, University of Hamburg, Luruper Chaussee 149, 22761 Hamburg, Germany
| | - Thomas A White
- Center for Free Electron Laser Science, Deutsches Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany
| | - Mark S Hunter
- Linac Coherent Light Source, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, USA
| | - Uwe Weierstall
- Department of Physics, Arizona State University, Tempe, Arizona 85287, USA
| | - Wei Liu
- School of Molecular Sciences and Biodesign Center for Applied Structural Discovery, Biodesign Institute, Arizona State University, Tempe, Arizona 85287, USA
| | - Kerim Babaoglu
- MRL, Merck &Co., Inc., 770 Sumneytown Pike, West Point, Pennsylvania 19486, USA
| | - Eric L Moore
- MRL, Merck &Co., Inc., 770 Sumneytown Pike, West Point, Pennsylvania 19486, USA
| | - Ryan D Katz
- MRL, Merck &Co., Inc., 503 Louise Lane, North Wales, Pennsylvania 19454, USA
| | - Jennifer M Shipman
- MRL, Merck &Co., Inc., 503 Louise Lane, North Wales, Pennsylvania 19454, USA
| | | | - Sujata Sharma
- MRL, Merck &Co., Inc., 503 Louise Lane, North Wales, Pennsylvania 19454, USA
| | - Payal Sheth
- MRL, Merck &Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, USA
| | - Stephen M Soisson
- MRL, Merck &Co., Inc., 770 Sumneytown Pike, West Point, Pennsylvania 19486, USA
| | - Raymond C Stevens
- Department of Chemistry, Bridge Institute, University of Southern California, Los Angeles, California 90089, USA.,Department of Biological Sciences, Bridge Institute, University of Southern California, Los Angeles, California 90089, USA
| | - Vsevolod Katritch
- Department of Chemistry, Bridge Institute, University of Southern California, Los Angeles, California 90089, USA.,Department of Biological Sciences, Bridge Institute, University of Southern California, Los Angeles, California 90089, USA
| | - Vadim Cherezov
- Department of Chemistry, Bridge Institute, University of Southern California, Los Angeles, California 90089, USA
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Taylor PM, White KL, Fowden AL, Giussani DA, Bloomfield M, Sear JW. Propofol anaesthesia for surgery in late gestation pony mares. Vet Anaesth Analg 2016; 28:177-187. [PMID: 28404242 DOI: 10.1046/j.1467-2987.2001.00044.x] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2000] [Accepted: 08/12/2000] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To characterize propofol anaesthesia in pregnant ponies. ANIMALS Fourteen pony mares, at 256 ± 49 days gestation, undergoing abdominal surgery to implant fetal and maternal vascular catheters. MATERIALS AND METHODS Pre-anaesthetic medication with intravenous (IV) acepromazine (20 µg kg-1), butorphanol (20 µg kg-1) and detomidine (10 µg kg-1) was given 30 minutes before induction of anaesthesia with detomidine (10 µg kg-1) and ketamine (2 mg kg-1) IV Maternal arterial blood pressure was recorded (facial artery) throughout anaesthesia. Arterial blood gas values and plasma concentrations of glucose, lactate, cortisol and propofol were measured at 20-minute intervals. Anaesthesia was maintained with propofol infused initially at 200 µg kg-1 minute-1, and at 130-180 µg kg-1 minute-1 after 60 minutes, ventilation was controlled with oxygen and nitrous oxide to maintain PaCO2 between 5.0 and 6.0 kPa (37.6 and 45.1 mm Hg) and PaO2 between 13.3 and 20.0 kPa (100 and 150.4 mm Hg). During anaesthesia flunixin (1 mg kg-1), procaine penicillin (6 IU) and butorphanol 80 µg kg-1 were given. Lactated Ringer's solution was infused at 10 mL kg-1 hour-1. Simultaneous fetal and maternal blood samples were withdrawn at 85-95 minutes. Recovery from anaesthesia was assisted. RESULTS Arterial blood gas values remained within intended limits. Plasma propofol levels stabilized after 20 minutes (range 3.5-9.1 µg kg-1); disposition estimates were clearance 6.13 ± 1.51 L minute-1 (mean ± SD) and volume of distribution 117.1 ± 38.9 L (mean ± SD). Plasma cortisol increased from 193 ± 43 nmol L-1 before anaesthesia to 421 ± 96 nmol L-1 60 minutes after anaesthesia. Surgical conditions were excellent. Fetal umbilical venous pH, PO2 and PCO2 were 7.35 ± 0.04, 6.5 ± 0.5 kPa (49 ± 4 mm Hg) and 6.9 ± 0.5 kPa (52 ± 4 mm Hg); fetal arterial pH, PO2 and PCO2 were 7.29 ± 0.06, 3.3 ± 0.8 kPa (25 ± 6 mm Hg) and 8.7 ± 0.9 kPa (65 ± 7 mm Hg), respectively. Recovery to standing occurred at 46 ± 17 minutes, and was generally smooth. Ponies regained normal behaviour patterns immediately. CONCLUSIONS AND CLINICAL RELEVANCE Propofol anaesthesia was smooth with satisfactory cardiovascular function in both mare and fetus; we believe this to be a suitable anaesthetic technique for pregnant ponies.
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Affiliation(s)
- Polly M Taylor
- University of Cambridge, Department of Clinical Veterinary Medicine, Cambridge, UK.
| | - Kate L White
- University of Cambridge, Department of Clinical Veterinary Medicine, Cambridge, UK
| | - Abigail L Fowden
- University of Cambridge, Physiological Laboratory, Cambridge, UK
| | - Dino A Giussani
- University of Cambridge, Physiological Laboratory, Cambridge, UK
| | | | - John W Sear
- Nuffield Department of Anaesthetics, University of Oxford, UK
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Taylor PM, Luna SP, White KL, Bloomfield M, Fowden AL. Intravenous anaesthesia using detomidine, ketamine and guaiphenesin for laparotomy in pregnant pony mares. Vet Anaesth Analg 2016; 28:119-125. [PMID: 28404441 DOI: 10.1046/j.1467-2987.2001.00046.x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2000] [Accepted: 07/17/2000] [Indexed: 11/20/2022]
Abstract
Objective To characterize intravenous anaesthesia with detomidine, ketamine and guaiphenesin in pregnant ponies. Animals Twelve pony mares, at 260-320 days gestation undergoing abdominal surgery to implant fetal and maternal vascular catheters. Materials and methods Pre-anaesthetic medication with intravenous (IV) acepromazine (30 µg kg-1), butorphanol (20 µg kg-1) and detomidine (10 µg kg-1) preceded induction of anaesthesia with detomidine (10 µg kg-1) and ketamine (2 mg kg-1) IV Maternal arterial blood pressure was measured directly throughout anaesthesia and arterial blood samples were taken at 20-minute intervals for measurement of blood gases and plasma concentrations of cortisol, glucose and lactate. Anaesthesia was maintained with an IV infusion of detomidine (0.04 mg mL-1), ketamine (4 mg mL-1) and guaiphenesin (100 mg mL-1) (DKG) for 140 minutes. Oxygen was supplied by intermittent positive pressure ventilation (IPPV) adjusted to maintain PaCO2 between 5.0 and 6.0 kPa (38 and 45 mm Hg), while PaO2 was kept close to 20.0 kPa (150 mm Hg) by adding nitrous oxide. Simultaneous fetal and maternal blood samples were withdrawn at 90 minutes. Recovery quality was assessed. Results DKG was infused at 0.67 ± 0.17 mL kg-1 hour-1 for 1 hour then reduced, reaching 0.28 ± 0.14 mL kg-1 hour-1 at 140 minutes. Arterial blood gas values and pH remained within intended limits. During anaesthesia there was no change in heart rate, but arterial blood pressure decreased by 10%. Plasma glucose and lactate increased (10-fold and 2-fold, respectively) and cortisol decreased by 50% during anaesthesia. Fetal umbilical venous pH, PO2 and PCO2 were 7.34 ± 0.06, 5.8 ± 0.9 kPa (44 ± 7 mm Hg) and 6.7 ± 0.8 kPa (50 ± 6 mm Hg); and fetal arterial pH, PO2 and PCO2 were 7.29 ± 0.06, 4.0 ± 0.7 kPa (30 ± 5 mm Hg) and 7.8 ± 1.7 kPa (59 ± 13 mm Hg), respectively. Surgical conditions were good but four ponies required a single additional dose of ketamine. Ponies took 60 ± 28 minutes to stand and recovery was good. Conclusions and clinical relevance Anaesthesia produced with DKG was smooth while cardiovascular function in mare and fetus was well preserved. This indicates that DKG infusion is suitable for maintenance of anaesthesia in pregnant equidae.
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Affiliation(s)
- Polly M Taylor
- University of Cambridge, Department of Clinical Veterinary Medicine, Cambridge, UK
| | - Stelio Pl Luna
- FMVZ, Unesp, Department of Veterinary Surgery and Anaesthesiology, 18618-000, Botucatu, SP, Brazil
| | - Kate L White
- University of Cambridge, Department of Clinical Veterinary Medicine, Cambridge, UK
| | | | - Abigail L Fowden
- University of Cambridge, Physiological Laboratory, Cambridge, UK
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White KL, Bormann JM, Olson KC, Jaeger JR, Johnson S, Downey B, Grieger DM, Waggoner JW, Moser DW, Weaber RL. Phenotypic relationships between docility and reproduction in Angus heifers. J Anim Sci 2016; 94:483-9. [PMID: 27065118 DOI: 10.2527/jas.2015-9327] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The objective of this study was to elucidate the phenotypic relationships between docility and first-service AI conception rate in heifers. Data ( = 337) collected from 3 cooperator herds in Kansas at the start of synchronization protocol included exit velocity (EV), chute score (CS), fecal cortisol (FC), and blood serum cortisol (BC). Data were analyzed using logistic regression with 30-d pregnancy rate as the dependent variable. The model included the fixed effect of contemporary group and the covariates FC, BC, EV, CS, BW, and age. Correlation coefficients were calculated between all continuous traits. Pregnancy rate ranged from 34% to 60% between herds. Blood cortisol positively correlated with EV ( = 0.22, < 0.01), negatively correlated with age ( = -0.12, < 0.03), and tended to be negatively correlated with BW ( = -0.10, = 0.09). Exit velocity was positively correlated with CS ( = 0.24, < 0.01) and negatively correlated with BW ( = -0.15, < 0.01) and age ( = -0.12, < 0.03). Chute score negatively correlated with age ( = -0.14, < 0.01), and age and BW were moderately positively correlated ( = 0.42, < 0.01), as expected. Older, heavier animals generally had better temperament, as indicated by lower BC, EV, and CS. The power of our test could detect no significant predictors of 30-d pregnancy for the combined data from all ranches. When the data were divided by ranch, CS ( < 0.03) and BW ( < 0.01) were both significant predictors for 30-d pregnancy for ranch 1. The odds ratio estimate for CS has an inverse relationship with pregnancy, meaning that a 1-unit increase in average CS will reduce the probability of pregnancy at ranch 1 by 48.1%. Weight also has a negative impact on pregnancy because a 1-kg increase in BW will decrease the probability of pregnancy by 2.2%. Fertility is a complex trait that depends on many factors; our data suggest that docility is 1 factor that warrants further investigation.
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Farrell MS, McCorvy JD, Huang XP, Urban DJ, White KL, Giguere PM, Doak AK, Bernstein AI, Stout KA, Park SM, Rodriguiz RM, Gray BW, Hyatt WS, Norwood AP, Webster KA, Gannon BM, Miller GW, Porter JH, Shoichet BK, Fantegrossi WE, Wetsel WC, Roth BL. In Vitro and In Vivo Characterization of the Alkaloid Nuciferine. PLoS One 2016; 11:e0150602. [PMID: 26963248 PMCID: PMC4786259 DOI: 10.1371/journal.pone.0150602] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2015] [Accepted: 02/17/2016] [Indexed: 01/05/2023] Open
Abstract
Rationale The sacred lotus (Nelumbo nucifera) contains many phytochemicals and has a history of human use. To determine which compounds may be responsible for reported psychotropic effects, we used in silico predictions of the identified phytochemicals. Nuciferine, an alkaloid component of Nelumbo nucifera and Nymphaea caerulea, had a predicted molecular profile similar to antipsychotic compounds. Our study characterizes nuciferine using in vitro and in vivo pharmacological assays. Methods Nuciferine was first characterized in silico using the similarity ensemble approach, and was followed by further characterization and validation using the Psychoactive Drug Screening Program of the National Institute of Mental Health. Nuciferine was then tested in vivo in the head-twitch response, pre-pulse inhibition, hyperlocomotor activity, and drug discrimination paradigms. Results Nuciferine shares a receptor profile similar to aripiprazole-like antipsychotic drugs. Nuciferine was an antagonist at 5-HT2A, 5-HT2C, and 5-HT2B, an inverse agonist at 5-HT7, a partial agonist at D2, D5 and 5-HT6, an agonist at 5-HT1A and D4 receptors, and inhibited the dopamine transporter. In rodent models relevant to antipsychotic drug action, nuciferine blocked head-twitch responses and discriminative stimulus effects of a 5-HT2A agonist, substituted for clozapine discriminative stimulus, enhanced amphetamine induced locomotor activity, inhibited phencyclidine (PCP)-induced locomotor activity, and rescued PCP-induced disruption of prepulse inhibition without induction of catalepsy. Conclusions The molecular profile of nuciferine was similar but not identical to that shared with several approved antipsychotic drugs suggesting that nuciferine has atypical antipsychotic-like actions.
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Affiliation(s)
- Martilias S. Farrell
- Department of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
- * E-mail:
| | - John D. McCorvy
- Department of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
| | - Xi-Ping Huang
- Department of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
- National Institute of Mental Health Psychoactive Drug Screening Program, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
| | - Daniel J. Urban
- Department of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
| | - Kate L. White
- Department of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
| | - Patrick M. Giguere
- Department of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
| | - Allison K. Doak
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, United States of America
| | - Alison I. Bernstein
- Department of Environmental Health, Rollins School of Public Health and Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia, United States of America
| | - Kristen A. Stout
- Department of Environmental Health, Rollins School of Public Health and Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia, United States of America
| | - Su Mi Park
- Departments of Psychiatry and Behavioral Sciences, Cell Biology, and Neurobiology, Mouse Behavioral and Neuroendocrine Analysis Core Facility, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Ramona M. Rodriguiz
- Departments of Psychiatry and Behavioral Sciences, Cell Biology, and Neurobiology, Mouse Behavioral and Neuroendocrine Analysis Core Facility, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Bradley W. Gray
- Department of Pharmacology and Toxicology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
| | - William S. Hyatt
- Department of Pharmacology and Toxicology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
| | - Andrew P. Norwood
- Department of Pharmacology and Toxicology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
| | - Kevin A. Webster
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Brenda M. Gannon
- Department of Pharmacology and Toxicology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
| | - Gary W. Miller
- Department of Environmental Health, Rollins School of Public Health and Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia, United States of America
| | - Joseph H. Porter
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Brian K. Shoichet
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, United States of America
| | - William E. Fantegrossi
- Department of Pharmacology and Toxicology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
| | - William C. Wetsel
- Departments of Psychiatry and Behavioral Sciences, Cell Biology, and Neurobiology, Mouse Behavioral and Neuroendocrine Analysis Core Facility, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Bryan L. Roth
- Department of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
- Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
- Program in Neuroscience, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
- Lineberger Comprehensive Cancer Center, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
- Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
- Division of Chemical Biology and Medicinal Chemistry, School of Pharmacy, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
- National Institute of Mental Health Psychoactive Drug Screening Program, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
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Abstract
OBJECTIVE To provide stable anaesthesia of long duration in broiler chickens in order to perform a terminal caecal ligated loop procedure. STUDY DESIGN Prospective experimental study. ANIMALS Seven clinically healthy broiler chickens (Gallus domesticus) aged 27-36 days, weighing 884-2000 g. METHODS Anaesthesia was induced and maintained with isoflurane in oxygen. All birds underwent intermittent positive pressure ventilation for the duration. End-tidal carbon dioxide, peripheral haemoglobin oxygen saturation, heart rate and oesophageal temperature were monitored continuously. All birds received intraosseous fluids. Butorphanol (2 mg kg(-1)) was administered intramuscularly at two hourly intervals. Euthanasia by parenteral pentobarbitone was performed at the end of procedure. RESULTS Stable anaesthesia was maintained in four chickens for durations ranging from 435 to 510 minutes. One bird died and one was euthanized after 130 and 330 minutes, respectively, owing to surgical complications and another died from anaesthetic complication after 285 minutes. CONCLUSIONS AND CLINICAL RELEVANCE Long-term, stable anaesthesia is possible in clinically healthy chickens, provided complications such as hypothermia and hypoventilation are addressed and vital signs are carefully monitored. There are no known previous reports describing monitored, controlled anaesthesia of this duration in chickens.
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Affiliation(s)
- Peter M O'Kane
- Division of Food SciencesSchool of BiosciencesUniversity of NottinghamSutton BoningtonUK
| | - Ian F Connerton
- Division of Food SciencesSchool of BiosciencesUniversity of NottinghamSutton BoningtonUK
| | - Kate L White
- School of Veterinary Medicine and ScienceUniversity of NottinghamSutton BoningtonUK
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Robinson JE, Vardy E, DiBerto JF, Chefer VI, White KL, Fish EW, Chen M, Gigante E, Krouse MC, Sun H, Thorsell A, Roth BL, Heilig M, Malanga CJ. Receptor Reserve Moderates Mesolimbic Responses to Opioids in a Humanized Mouse Model of the OPRM1 A118G Polymorphism. Neuropsychopharmacology 2015; 40:2614-22. [PMID: 25881115 PMCID: PMC4569952 DOI: 10.1038/npp.2015.109] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2015] [Revised: 03/11/2015] [Accepted: 03/12/2015] [Indexed: 11/09/2022]
Abstract
The OPRM1 A118G polymorphism is the most widely studied μ-opioid receptor (MOR) variant. Although its involvement in acute alcohol effects is well characterized, less is known about the extent to which it alters responses to opioids. Prior work has shown that both electrophysiological and analgesic responses to morphine but not to fentanyl are moderated by OPRM1 A118G variation, but the mechanism behind this dissociation is not known. Here we found that humanized mice carrying the 118GG allele (h/mOPRM1-118GG) were less sensitive than h/mOPRM1-118AA littermates to the rewarding effects of morphine and hydrocodone but not those of other opioids measured with intracranial self-stimulation. Reduced morphine reward in 118GG mice was associated with decreased dopamine release in the nucleus accumbens and reduced effects on GABA release in the ventral tegmental area that were not due to changes in drug potency or efficacy in vitro or receptor-binding affinity. Fewer MOR-binding sites were observed in h/mOPRM1-118GG mice, and pharmacological reduction of MOR availability unmasked genotypic differences in fentanyl sensitivity. These findings suggest that the OPRM1 A118G polymorphism decreases sensitivity to low-potency agonists by decreasing receptor reserve without significantly altering receptor function.
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Affiliation(s)
- J Elliott Robinson
- Department of Neurology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA,Bowles Center for Alcohol Studies, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Eyal Vardy
- Department of Pharmacology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jeffrey F DiBerto
- Department of Neurology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA,Bowles Center for Alcohol Studies, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Vladimir I Chefer
- Intramural Research Program, National Institute on Drug Abuse (NIDA), Baltimore, MD, USA
| | - Kate L White
- Department of Pharmacology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Eric W Fish
- Bowles Center for Alcohol Studies, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Meng Chen
- Department of Neurology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA,Bowles Center for Alcohol Studies, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Eduardo Gigante
- Intramural Research Program, National Institute on Drug Abuse (NIDA), Baltimore, MD, USA
| | - Michael C Krouse
- Department of Neurology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hui Sun
- Intramural Research Program, National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA
| | - Annika Thorsell
- Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Bryan L Roth
- Department of Pharmacology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA,NIMH Psychoactive Drug Screening Program (PDSP), University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Markus Heilig
- Intramural Research Program, National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA,Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - C J Malanga
- Department of Neurology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA,Bowles Center for Alcohol Studies, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA,Department of Neurology, University of North Carolina School of Medicine, Physicians' Office Building, 170 Manning Drive, CB 7025, Chapel Hill, NC 27599-7025, USA, Tel: +1 919 966 1683, Fax: +1 919 843 4576, E-mail:
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Taylor PM, Hoare HR, de Vries A, Love EJ, Coumbe KM, White KL, Murrell JC. A multicentre, prospective, randomised, blinded clinical trial to compare some perioperative effects of buprenorphine or butorphanol premedication before equine elective general anaesthesia and surgery. Equine Vet J 2015; 48:442-50. [PMID: 25772950 PMCID: PMC5033022 DOI: 10.1111/evj.12442] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Accepted: 03/08/2015] [Indexed: 12/22/2022]
Abstract
Reasons for performing study Buprenorphine, a μ‐agonist opioid, has recently been licensed for equine use, but butorphanol, a κ‐agonist opioid, is more commonly used in horses. The effect of the 2 opioids has not previously been compared in a large clinical study. Objectives To compare post operative analgesia and physiological variables in horses undergoing elective surgery following premedication with either buprenorphine or butorphanol in a conventional clinical setting. Study design Multicentre, prospective, randomised, blinded clinical investigation. Methods Eighty‐nine healthy horses admitted for elective surgery to one of 6 UK equine veterinary clinics were premedicated with acepromazine, a nonsteroidal anti‐inflammatory drug, and romifidine followed by intravenous (i.v.) buprenorphine or butorphanol. Anaesthesia was induced with diazepam/ketamine and maintained with isoflurane in oxygen. A range of surgical procedures were performed and supplementary anaesthetic agents given as required. Physiological variables were monitored during anaesthesia and pain, ataxia, sedation and vital function were assessed post operatively. Data were analysed using t‐tests, ANOVA, Mann–Whitney U‐test and Chi‐squared test as appropriate and P<0.05 was regarded as significant, except for multiple comparisons, when P<0.01 was used. Results Surgery was carried out successfully in all cases and no mortality or serious morbidity occurred. Physiological variables remained within normal limits and all horses recovered successfully, most standing within 1 h of ceasing anaesthesia. There were no significant differences between groups in any variable except post operative pain when scores (simple descriptive scale) between 3 and 6 h were significantly lower after buprenorphine than after butorphanol. Conclusions Horses experienced less post operative pain after buprenorphine than after butorphanol premedication. Compared with butorphanol, buprenorphine did not cause any different effects on vital function.
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Affiliation(s)
- P M Taylor
- Taylor Monroe, Little Downham, Cambridgeshire, UK
| | - H R Hoare
- School of Veterinary Medicine and Science, Nottingham University, Sutton Bonington, Leicestershire, UK
| | - A de Vries
- Animal Health Trust, Newmarket, Suffolk, UK
| | - E J Love
- Equine First Opinion and Referral Clinic, University of Bristol, Langford, Bristol, UK
| | | | - K L White
- School of Veterinary Medicine and Science, Nottingham University, Sutton Bonington, Leicestershire, UK
| | - J C Murrell
- School of Veterinary Science, University of Bristol, Langford, Bristol, UK
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Vardy E, Robinson JE, Li C, Olsen RHJ, DiBerto JF, Giguere PM, Sassano FM, Huang XP, Zhu H, Urban DJ, White KL, Rittiner JE, Crowley NA, Pleil KE, Mazzone CM, Mosier PD, Song J, Kash TL, Malanga CJ, Krashes MJ, Roth BL. A New DREADD Facilitates the Multiplexed Chemogenetic Interrogation of Behavior. Neuron 2015; 86:936-946. [PMID: 25937170 DOI: 10.1016/j.neuron.2015.03.065] [Citation(s) in RCA: 250] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2014] [Revised: 03/02/2015] [Accepted: 03/29/2015] [Indexed: 01/09/2023]
Abstract
DREADDs are chemogenetic tools widely used to remotely control cellular signaling, neuronal activity, and behavior. Here we used a structure-based approach to develop a new Gi-coupled DREADD using the kappa-opioid receptor as a template (KORD) that is activated by the pharmacologically inert ligand salvinorin B (SALB). Activation of virally expressed KORD in several neuronal contexts robustly attenuated neuronal activity and modified behaviors. Additionally, co-expression of the KORD and the Gq-coupled M3-DREADD within the same neuronal population facilitated the sequential and bidirectional remote control of behavior. The availability of DREADDs activated by different ligands provides enhanced opportunities for investigating diverse physiological systems using multiplexed chemogenetic actuators.
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Affiliation(s)
- Eyal Vardy
- Department of Pharmacology and National Institute of Mental Health Psychoactive Drug Screening Program (NIMH PDSP), University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA
| | - J Elliott Robinson
- Neurology Department, University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA; Curriculum in Neurobiology, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA; Bowles Center for Alcohol Studies, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA
| | - Chia Li
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA; National Institute of Drug Abuse, Baltimore, MD 21224, USA
| | - Reid H J Olsen
- Department of Pharmacology and National Institute of Mental Health Psychoactive Drug Screening Program (NIMH PDSP), University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA; Curriculum in Neurobiology, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA
| | - Jeffrey F DiBerto
- Neurology Department, University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA
| | - Patrick M Giguere
- Department of Pharmacology and National Institute of Mental Health Psychoactive Drug Screening Program (NIMH PDSP), University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA
| | - Flori M Sassano
- Department of Pharmacology and National Institute of Mental Health Psychoactive Drug Screening Program (NIMH PDSP), University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA
| | - Xi-Ping Huang
- Department of Pharmacology and National Institute of Mental Health Psychoactive Drug Screening Program (NIMH PDSP), University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA
| | - Hu Zhu
- Department of Pharmacology and National Institute of Mental Health Psychoactive Drug Screening Program (NIMH PDSP), University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA
| | - Daniel J Urban
- Department of Pharmacology and National Institute of Mental Health Psychoactive Drug Screening Program (NIMH PDSP), University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA
| | - Kate L White
- Department of Pharmacology and National Institute of Mental Health Psychoactive Drug Screening Program (NIMH PDSP), University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA
| | - Joseph E Rittiner
- Curriculum in Neurobiology, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA
| | - Nicole A Crowley
- Department of Pharmacology and National Institute of Mental Health Psychoactive Drug Screening Program (NIMH PDSP), University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA; Curriculum in Neurobiology, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA; Bowles Center for Alcohol Studies, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA
| | - Kristen E Pleil
- Department of Pharmacology and National Institute of Mental Health Psychoactive Drug Screening Program (NIMH PDSP), University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA; Curriculum in Neurobiology, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA; Bowles Center for Alcohol Studies, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA
| | - Christopher M Mazzone
- Department of Pharmacology and National Institute of Mental Health Psychoactive Drug Screening Program (NIMH PDSP), University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA; Curriculum in Neurobiology, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA; Bowles Center for Alcohol Studies, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA
| | - Philip D Mosier
- Department of Medicinal Chemistry, Virginia Commonwealth University School of Pharmacy, Richmond, VA 23298, USA
| | - Juan Song
- Department of Pharmacology and National Institute of Mental Health Psychoactive Drug Screening Program (NIMH PDSP), University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA; Curriculum in Neurobiology, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA
| | - Thomas L Kash
- Department of Pharmacology and National Institute of Mental Health Psychoactive Drug Screening Program (NIMH PDSP), University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA; Curriculum in Neurobiology, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA; Bowles Center for Alcohol Studies, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA
| | - C J Malanga
- Neurology Department, University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA; Curriculum in Neurobiology, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA; Bowles Center for Alcohol Studies, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA
| | - Michael J Krashes
- Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA; National Institute of Drug Abuse, Baltimore, MD 21224, USA.
| | - Bryan L Roth
- Department of Pharmacology and National Institute of Mental Health Psychoactive Drug Screening Program (NIMH PDSP), University of North Carolina School of Medicine, Chapel Hill, NC 27514, USA; Curriculum in Neurobiology, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA.
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Abstract
Golden Syrian hamster embryos are difficult to cryopreserve due to their high sensitivity to cryoprotectants and in vitro handling. The objective of this study is to develop a robust open pulled straw (OPS) vitrification technique for cryopreserving hamster embryos at various developmental stages. We first systematically tested the concentrations of cryoprotectants and the exposure times of two-cell embryos to various vitrification solutions. We identified pretreatment of two-cell embryos with 10% (v/v) ethylene glycol (EG) + 10% (v/v) dimethylsulfoxide (DMSO) for 30 s followed by exposure in the vitrification solution, EDFS30 (containing 15% EG + 15% DMSO), for 30 s before plunging into liquid nitrogen (two-step exposure method) as the optimal OPS vitrification protocol. We then investigated the resourcefulness of this protocol for vitrifying hamster embryos at different developmental stages. The results showed that high blastocyst rates from embryos vitrified at two-cell, four-cell, eight-cell, or morula stage (62%, 78%, 80%, or 72%, respectively), but not those verified at pronuclear (0%) or blastocyst stage (24%; P < 0.05), were achieved by this protocol. When embryos vitrified at the two-cell stage were recovered and then directly transferred to recipient females, 29% of them developed to term, a development rate not significantly different (P > 0.05) from the 40% birth rate of the unvitrified controls. In conclusion, we have developed an effective two-step OPS vitrification protocol for hamster embryos.
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Affiliation(s)
- Z Fan
- Department of Animal, Dairy, and Veterinary Sciences, Utah State University, Logan, Utah, USA
| | - Q Meng
- Department of Animal, Dairy, and Veterinary Sciences, Utah State University, Logan, Utah, USA
| | - T D Bunch
- Department of Animal, Dairy, and Veterinary Sciences, Utah State University, Logan, Utah, USA
| | - K L White
- Department of Animal, Dairy, and Veterinary Sciences, Utah State University, Logan, Utah, USA
| | - Z Wang
- Department of Animal, Dairy, and Veterinary Sciences, Utah State University, Logan, Utah, USA Auratus Bio, LLC, Canton, South Dakota, USA
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White KL, Wong M, Li P, Miyamoto M, Higaki Y, Takahara A, Sue HJ. Interlayer structure and self-healing in suspensions of brush-stabilized nanoplatelets with smectic order. Soft Matter 2015; 11:954-971. [PMID: 25519712 DOI: 10.1039/c4sm01855a] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
We have investigated the rheology of an uncured epoxy fluid containing high aspect ratio (length/thickness ≈ 160) α-zirconium phosphate (ZrP) nanoplatelets with smectic order. The nanoplatelets were exfoliated into monocrystalline sheets with uniform thickness using a monoamine-terminated oligomer. The oligomers were densely grafted to the plate surfaces and behave as a molecular brush. Suspensions containing ∼ 2 vol.% ZrP and above show liquid crystalline order with scattering peaks characteristic of a smectic (layered) mesophase. At much higher loading, ∼ 4 vol.% ZrP, there is a sharp transition in visual appearance, steady shear rheology, and linear and non-linear viscoelasticity that is attributed to the reversible interdigitation of oligomer chains between closely spaced layers. The oligomers are proposed to serve as inter-lamellar bridges that store elastic stresses for intermediate rates of deformation, but are able to relax on longer time scales. Under steady shearing conditions, the smectic suspensions with "overlapped" microstructure show a discontinuous flow curve characteristic of shear banding that is attributed to the dynamic pull-out of oligomer chains from the overlap region. At high shear rates, the limiting viscosity of the concentrated suspensions is on the same order of magnitude as the unfilled suspending fluid. When the rate of deformation is reduced below a critical time scale, the original network strength, and corresponding microstructure, is recovered through a passive self-healing process. The unique combination of concentration-dependent yield stress, low post-yield viscosity, and self-healing is potentially useful for various applications in the liquid state, and desirable for scalable processing of nanocomposite materials for structural applications.
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Affiliation(s)
- K L White
- International Institute for Carbon-Neutral Energy Research (WPI-I2CNER), Kyushu University, Fukuoka, 819-0395, Japan
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White KL, Robinson JE, Zhu H, DiBerto JF, Polepally PR, Zjawiony JK, Nichols DE, Malanga CJ, Roth BL. The G protein-biased κ-opioid receptor agonist RB-64 is analgesic with a unique spectrum of activities in vivo. J Pharmacol Exp Ther 2014; 352:98-109. [PMID: 25320048 DOI: 10.1124/jpet.114.216820] [Citation(s) in RCA: 153] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
The hypothesis that functionally selective G protein-coupled receptor (GPCR) agonists may have enhanced therapeutic benefits has revitalized interest for many GPCR targets. In particular, although κ-opioid receptor (KOR) agonists are analgesic with a low risk of dependence and abuse, their use is limited by a propensity to induce sedation, motor incoordination, hallucinations, and dysphoria-like states. Several laboratories have produced a body of work suggesting that G protein-biased KOR agonists might be analgesic with fewer side effects. Although that has been an intriguing hypothesis, suitable KOR-selective and G protein-biased agonists have not been available to test this idea. Here we provide data using a G protein-biased agonist, RB-64 (22-thiocyanatosalvinorin A), which suggests that KOR-mediated G protein signaling induces analgesia and aversion, whereas β-arrestin-2 signaling may be associated with motor incoordination. Additionally, unlike unbiased KOR agonists, the G protein-biased ligand RB-64 does not induce sedation and does not have anhedonia-like actions, suggesting that a mechanism other than G protein signaling mediates these effects. Our findings provide the first evidence for a highly selective and G protein-biased tool compound for which many, but not all, of the negative side effects of KOR agonists can be minimized by creating G protein-biased KOR agonists.
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Affiliation(s)
- Kate L White
- Department of Pharmacology (K.L.W., H.Z., D.E.N., B.L.R.), Department of Neurology (J.E.R., J.F.D., C.J.M.), and Bowles Center for Alcohol Studies (J.E.R., C.J.M.), University of North Carolina, Chapel Hill, North Carolina; and Department of BioMolecular Sciences, Division of Pharmacognosy, School of Pharmacy, University of Mississippi, University, Mississippi (P.R.P., J.K.Z.)
| | - J Elliott Robinson
- Department of Pharmacology (K.L.W., H.Z., D.E.N., B.L.R.), Department of Neurology (J.E.R., J.F.D., C.J.M.), and Bowles Center for Alcohol Studies (J.E.R., C.J.M.), University of North Carolina, Chapel Hill, North Carolina; and Department of BioMolecular Sciences, Division of Pharmacognosy, School of Pharmacy, University of Mississippi, University, Mississippi (P.R.P., J.K.Z.)
| | - Hu Zhu
- Department of Pharmacology (K.L.W., H.Z., D.E.N., B.L.R.), Department of Neurology (J.E.R., J.F.D., C.J.M.), and Bowles Center for Alcohol Studies (J.E.R., C.J.M.), University of North Carolina, Chapel Hill, North Carolina; and Department of BioMolecular Sciences, Division of Pharmacognosy, School of Pharmacy, University of Mississippi, University, Mississippi (P.R.P., J.K.Z.)
| | - Jeffrey F DiBerto
- Department of Pharmacology (K.L.W., H.Z., D.E.N., B.L.R.), Department of Neurology (J.E.R., J.F.D., C.J.M.), and Bowles Center for Alcohol Studies (J.E.R., C.J.M.), University of North Carolina, Chapel Hill, North Carolina; and Department of BioMolecular Sciences, Division of Pharmacognosy, School of Pharmacy, University of Mississippi, University, Mississippi (P.R.P., J.K.Z.)
| | - Prabhakar R Polepally
- Department of Pharmacology (K.L.W., H.Z., D.E.N., B.L.R.), Department of Neurology (J.E.R., J.F.D., C.J.M.), and Bowles Center for Alcohol Studies (J.E.R., C.J.M.), University of North Carolina, Chapel Hill, North Carolina; and Department of BioMolecular Sciences, Division of Pharmacognosy, School of Pharmacy, University of Mississippi, University, Mississippi (P.R.P., J.K.Z.)
| | - Jordan K Zjawiony
- Department of Pharmacology (K.L.W., H.Z., D.E.N., B.L.R.), Department of Neurology (J.E.R., J.F.D., C.J.M.), and Bowles Center for Alcohol Studies (J.E.R., C.J.M.), University of North Carolina, Chapel Hill, North Carolina; and Department of BioMolecular Sciences, Division of Pharmacognosy, School of Pharmacy, University of Mississippi, University, Mississippi (P.R.P., J.K.Z.)
| | - David E Nichols
- Department of Pharmacology (K.L.W., H.Z., D.E.N., B.L.R.), Department of Neurology (J.E.R., J.F.D., C.J.M.), and Bowles Center for Alcohol Studies (J.E.R., C.J.M.), University of North Carolina, Chapel Hill, North Carolina; and Department of BioMolecular Sciences, Division of Pharmacognosy, School of Pharmacy, University of Mississippi, University, Mississippi (P.R.P., J.K.Z.)
| | - C J Malanga
- Department of Pharmacology (K.L.W., H.Z., D.E.N., B.L.R.), Department of Neurology (J.E.R., J.F.D., C.J.M.), and Bowles Center for Alcohol Studies (J.E.R., C.J.M.), University of North Carolina, Chapel Hill, North Carolina; and Department of BioMolecular Sciences, Division of Pharmacognosy, School of Pharmacy, University of Mississippi, University, Mississippi (P.R.P., J.K.Z.)
| | - Bryan L Roth
- Department of Pharmacology (K.L.W., H.Z., D.E.N., B.L.R.), Department of Neurology (J.E.R., J.F.D., C.J.M.), and Bowles Center for Alcohol Studies (J.E.R., C.J.M.), University of North Carolina, Chapel Hill, North Carolina; and Department of BioMolecular Sciences, Division of Pharmacognosy, School of Pharmacy, University of Mississippi, University, Mississippi (P.R.P., J.K.Z.)
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White KL. The art and science of analgesia. Vet Rec 2014. [DOI: 10.1136/vr.g5116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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White KL, Scopton AP, Rives ML, Bikbulatov RV, Polepally PR, Brown PJ, Kenakin T, Javitch JA, Zjawiony JK, Roth BL. Identification of novel functionally selective κ-opioid receptor scaffolds. Mol Pharmacol 2013; 85:83-90. [PMID: 24113749 DOI: 10.1124/mol.113.089649] [Citation(s) in RCA: 102] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
The κ-opioid receptor (KOR)-dynorphin system has been implicated in the control of affect, cognition, and motivation, and is thought to be dysregulated in mood and psychotic disorders, as well as in various phases of opioid dependence. KOR agonists exhibit analgesic effects, although the adverse effects produced by some KOR agonists, including sedation, dysphoria, and hallucinations, have limited their clinical use. Interestingly, KOR-mediated dysphoria, assessed in rodents as aversion, has recently been attributed to the activation of the p38 mitogen-activated protein kinase pathway following arrestin recruitment to the activated KOR. Therefore, KOR-selective G protein-biased agonists, which do not recruit arrestin, have been proposed to be more effective analgesics, without the adverse effects triggered by the arrestin pathway. As an initial step toward identifying novel biased KOR agonists, we applied a multifaceted screening strategy utilizing both in silico and parallel screening approaches. We identified several KOR-selective ligand scaffolds with a range of signaling bias in vitro. The arylacetamide-based scaffold includes both G protein- and β-arrestin-biased ligands, while the endogenous peptides and the diterpene scaffolds are G protein biased. Interestingly, we found scaffold screening to be more successful than library screening in identifying biased ligands. Many of the identified functionally selective ligands are potent selective KOR agonists that are reported to be active in the central nervous system. They therefore represent excellent candidates for in vivo studies aiming at determining the behavioral effects mediated by specific KOR-mediated signaling cascades.
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Affiliation(s)
- Kate L White
- Department of Pharmacology (K.L.W., T.K., B.L.R.) and National Institute of Mental Health Psychoactive Drug Screening Program (B.L.R.), University of North Carolina, Chapel Hill, North Carolina; Departments of Psychiatry (M.-L.R, J.A.J.) and Pharmacology (J.A.J.), Columbia University, College of Physicians and Surgeons, New York, New York; New York Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, New York (M.-L.R., J.A.J.); Department of Pharmacognosy, University of Mississippi, University, Mississippi (R.V.B., P.R.P., J.K.Z.); and Structural Genomics Consortium, University of Toronto, Toronto, Ontario, Canada (A.P.S., P.J.B.)
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44
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Affiliation(s)
- Kate L White
- Department of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, North Carolina 27599-7365, USA
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Abstract
An indirect immunofluorescence assay was used to detect the presence of H-Y antigen on equine blastocysts. A total of 33 blastocyst stage horse embryos were collected 6 to 7 days post-ovulation by trans-cervical flush and were immediately evaluated for the presence of H-Y antigen. Additionally, 17 embryos, were collected and cultured for 72 h to the expanded blastocyst stage and similarly evaluated. Embryos were placed in medium containing monoclonal antibodies to H-Y antigen followed by incubation in medium containing 1/10 (v/v) fluorescein isothiocyanate conjugated goat anti-mouse IgM Fc specific antiserum. Embryos were individually evaluated at 400X to identify cell specific fluorescence. Following evaluation, embryonic sex was independently verified with karyotypes to identify sex chromosomes. Of the 50 embryos evaluated, 29 were evaluated as non-fluorescent and 21 fluorescent. Expression of H-Y antigen was determined to be uniform in those embryos classified as fluorescent. Twenty-three of 28 (82%) readable karyotypes corresponded to the predicted sex. These results indicate a specific histocompatibility antigen is expressed and maintained at the blastocyst stage of development. In addition, no segregation of this protein on specific cell types occurs in this species.
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Affiliation(s)
- K L White
- Department of Animal Science, Louisiana Agricultural Experiment Station, Louisiana State University Agricultural Center, Louisiana State University, Baton, Rouge 70803
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Quigley MA, White KL, McGraw BF. Interpretation and application of world-wide safety data on diltiazem. Acta Pharmacol Toxicol (Copenh) 2009; 57 Suppl 2:61-73. [PMID: 2865866 DOI: 10.1111/j.1600-0773.1985.tb03576.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
The safety of medicinal agents being introduced into the marketplace is of growing concern to consumers, health care providers, and regulatory agencies. Although there are ever increasing efforts to improve techniques for testing drugs, and for anticipating and confirming possible adverse effects, arrangements for monitoring and detecting adverse drug reactions are far from satisfactory. Some factors which need to be understood in order to appropriately interpret data include: maturation processes; pretesting affects, measuring instruments affects; selection bias; and the affects of differential experimental mortality. A safety profile has been presented for the calcium entry blocker diltiazem hydrochloride. Efforts were made to focus attention upon the source of safety information as it relates to the quality of the report. The data presented suggests that diltiazem hydrochloride has a low incidence of adverse experiences.
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Aston KI, Li GP, Hicks BA, Sessions BR, Pate BJ, Hammon D, Bunch TD, White KL. Effect of the time interval between fusion and activation on nuclear state and development in vitro and in vivo of bovine somatic cell nuclear transfer embryos. Reproduction 2006; 131:45-51. [PMID: 16388008 DOI: 10.1530/rep.1.00714] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
This study indicated that prolonged exposure of donor cell nuclei to oocyte cytoplasm before activation results in abnormal chromatin morphology, and reduced development to compacted morula/blastocyst stage in vitro. However, after transfer of embryos to recipients, there was no difference in pregnancy rates throughout gestation. Chromatin morphology was evaluated for embryos held 2, 3, 4 and 5 h between fusion and activation. In embryos held 2 h, 15/17 (88.2%) embryos contained condensed chromosomes, while only 12/24 (50.0%) embryos held 3 h exhibited this characteristic. The proportion of embryos with elongated or fragmented chromosomes tended to increase with increased hold time. While 15/19 (78.9%) of embryos held 2 h developed a single pronucleus 6 h after activation, only 8/22 (36.4%) had one pronucleus after a 4-h hold. Embryos held 1.0, 1.5, 2.0, 2.5, 3.0, 3.5 and 4.0 h cleaved at rates of 207/281 (73.7%), 142/166 (85.5%), 655/912 (71.8%), 212/368 (57.6%), 406/667 (60.9%), 362/644 (56.2%) and 120/228 (52.6%) respectively. Further development to compacted morula/blastocyst stage occurred at rates of 78/281 (27.8%), 42/166 (25.3%), 264/912 (28.9%), 79/368 (21.5%), 99/667 (14.8%), 94/644 (14.6%) and 27/228 (11.8%) respectively. Embryos held less than 2.5 h between fusion and activation established pregnancies in 18/66 (27.3%) of recipients, while embryos held over 2.5 h established pregnancies at a rate of 17/57 (29.8%). This study indicates that holding bovine nuclear transfer embryos less than 2.5 h between fusion and activation results in improved nuclear morphology and increased development to compacted morula/blastocyst stage, and results in pregnancy rates equivalent to embryos held over 2.5 h.
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Affiliation(s)
- K I Aston
- Department of Animal, Dairy, and Veterinary Sciences and Center for Integrated Biosystems, Utah State University, 4815 Old Main Hill, Logan, 84322-4815, USA
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Sessions BR, Aston KI, Davis AP, Pate BJ, White KL. Effects of amino acid substitutions in and around the arginine-glycine-aspartic acid (RGD) sequence on fertilization and parthenogenetic development in mature bovine oocytes. Mol Reprod Dev 2006; 73:651-7. [PMID: 16493691 DOI: 10.1002/mrd.20462] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Integrins have been shown to be involved in the process of fertilization and many integrin-ligand interactions are mediated through the recognition of an arginine-glycine-aspartic acid (RGD) sequence. Despite the fact the RGD domain is a principal player in determining the functional characteristics of an adhesive protein, increasing evidence has accumulated implicating the amino acids flanking the RGD sequence in determining the functional properties of the RGD-containing protein. A set of linear peptides in which the amino acid sequence in and around the RGD tri-peptide was modified was synthesized to better understand the specificity of the RGD-receptor interaction. Mature oocytes were fertilized in vitro in the presence of RGD-containing and RGD-modified peptides. Both the RGD-containing and RGD-modified peptides impaired the ability of sperm to fertilize bovine oocytes, illustrated by a reduction in cleavage. The linear modified RGD containing peptides were also examined for their ability to induce parthenogenetic development with the objective of providing a linear RGD peptide with greater biological activity than the one (GRGDSPK) used previously (Campbell et al., 2000). The data demonstrate the specificity of the receptor for the RGD sequence, further implicate the involvement of integrins in the process of bovine fertilization, and illustrate the importance of the amino acids surrounding the RGD sequence in determining the binding and functional properties of RGD-containing peptides. The data support the findings that a linear RGD peptide can block fertilization and that amino acids around the RGD sequence have an impact on the biological activity of the receptor.
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Affiliation(s)
- B R Sessions
- Department of Animal, Dairy, and Veterinary Sciences and Center for Integrated Biosystems, Utah State University, Logan, Utah, USA
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White KL, Passipieri M, Bunch TD, Campbell KD, Pate B. Effects of arginine-glycine-aspartic acid (RGD) containing snake venom peptides on parthenogenetic development and in vitro fertilization of bovine oocytes. Mol Reprod Dev 2006; 74:88-96. [PMID: 16941670 DOI: 10.1002/mrd.20522] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The ability of synthetic arginine-glycine-aspartic acid (RGD)-containing peptides to induce intracellular calcium transients similar to those observed at fertilization by spermatozoa in the bovine has been reported (Campbell et al., 2000: Biol Reprod 62:1702-1709; Sessions et al., 2006. Mol Reprod Dev). These results also indicated the ability of synthetic RGD-containing peptides to induce activation and subsequent parthenogenetic development to the blastocyst stage, although, at numbers lower than observed with control in vitro fertilization (IVF). Evidence has been provided indicating the important effect of surrounding regions on the biological activity of the RGD sequence (Zhu and Evans, 2002; Sessions et al., 2006). The current experiments were designed to use natural RGD-containing sequences (disintegrins) to understand their effects. A total of three RGD-containing snake venom peptides (Kistrin (K), Elegantin (Ele), and Echistatin (Ech)) and one nonRGD-containing venom (Erabutoxin B (EB; control) were used at three concentrations (0.1, 1, and 10 micro g /ml) to induce parthenogenetic development to the blastocyst stage and in conjunction (1.0, 5.0, and 10 micro g/ml) with spermatozoa to evaluate competitive inhibition of fertilization and subsequent development. A (P < 0.01) higher number of bovine oocytes developed to the blastocyst stage after incubation with K, Ele and Ech at 1.0 micro g/ml, and was not different (P > 0.01) from IVF control. Fertilization was significantly reduced (P < 0.01) at all concentrations of K, Ele and Ech as compared to IVF control. No reduction (P > 0.05) was observed in EB (nonRGD) treated oocytes. These results support the involvement of a disintegrin-integrin interaction at fertilization in the bovine resulting in activation and subsequent development.
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Affiliation(s)
- K L White
- Animal, Dairy, and Veterinary Sciences Department, Center for Integrated BioSystems, Utah State University, Logan, UT 84322-4815, USA.
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