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Jergova S, Perez C, Imperial JS, Gajavelli S, Jain A, Abin A, Olivera BM, Sagen J. Cannabinoid receptor agonists from Conus venoms alleviate pain-related behavior in rats. Pharmacol Biochem Behav 2021; 205:173182. [PMID: 33774007 DOI: 10.1016/j.pbb.2021.173182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 02/18/2021] [Accepted: 03/18/2021] [Indexed: 11/28/2022]
Abstract
Cannabinoid (CB) receptor agonists show robust antinociceptive effects in various pain models. However, most of the clinically potent CB1 receptor-active drugs derived from cannabis are considered concerning due to psychotomimetic side effects. Selective CB receptor ligands that do not induce CNS side effects are of clinical interest. The venoms of marine snail Conus are a natural source of various potent analgesic peptides, some of which are already FDA approved. In this study we evaluated the ability of several Conus venom extracts to interact with CB1 receptor. HEK293 cells expressing CB1 receptors were treated with venom extracts and CB1 receptor internalization was analyzed by immunofluorescence. Results showed C. textile (C. Tex) and C. miles (C. Mil) samples as the most potent. These were serially subfractionated by HPLC for subsequent analysis by internalization assays and for analgesic potency evaluated in the formalin test and after peripheral nerve injury. Intrathecal injection of C. Tex and C. Mil subfractions reduced flinching/licking behavior during the second phase of formalin test and attenuated thermal and mechanical allodynia in nerve injury model. Treatment with proteolytic enzymes reduced CB1 internalization of subfractions, indicating the peptidergic nature of CB1 active component. Further HPLC purification revealed two potent antinociceptive subfractions within C. Tex with CB1 and possible CB2 activity, with mild to no side effects in the CB tetrad assessment. CB conopeptides can be isolated from these active Conus venom-derived samples and further developed as novel analgesic agents for the treatment of chronic pain using cell based or gene therapy approaches.
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Affiliation(s)
- Stanislava Jergova
- University of Miami, Miller School of Medicine, Miami Project, 1095 NW 14(th) terrace, Miami, FL 33136, USA.
| | - Cecilia Perez
- University of Miami, Miller School of Medicine, Miami Project, 1095 NW 14(th) terrace, Miami, FL 33136, USA
| | - Julita S Imperial
- University of Utah, School of Biological Sciences, 257 South 1400 East, Salt Lake City, UT 84112, USA
| | - Shyam Gajavelli
- University of Miami, Miller School of Medicine, Miami Project, 1095 NW 14(th) terrace, Miami, FL 33136, USA
| | - Aakangsha Jain
- University of Miami, Miller School of Medicine, Miami Project, 1095 NW 14(th) terrace, Miami, FL 33136, USA
| | - Adam Abin
- University of Miami, Miller School of Medicine, Miami Project, 1095 NW 14(th) terrace, Miami, FL 33136, USA
| | - Baldomero M Olivera
- University of Utah, School of Biological Sciences, 257 South 1400 East, Salt Lake City, UT 84112, USA
| | - Jacqueline Sagen
- University of Miami, Miller School of Medicine, Miami Project, 1095 NW 14(th) terrace, Miami, FL 33136, USA
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Abstract
Covering: January to December 2017This review covers the literature published in 2017 for marine natural products (MNPs), with 740 citations (723 for the period January to December 2017) referring to compounds isolated from marine microorganisms and phytoplankton, green, brown and red algae, sponges, cnidarians, bryozoans, molluscs, tunicates, echinoderms, mangroves and other intertidal plants and microorganisms. The emphasis is on new compounds (1490 in 477 papers for 2017), together with the relevant biological activities, source organisms and country of origin. Reviews, biosynthetic studies, first syntheses, and syntheses that led to the revision of structures or stereochemistries, have been included. Geographic distributions of MNPs at a phylogenetic level are reported.
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Affiliation(s)
- Anthony R Carroll
- School of Environment and Science, Griffith University, Gold Coast, Australia. and Griffith Institute for Drug Discovery, Griffith University, Brisbane, Australia
| | - Brent R Copp
- School of Chemical Sciences, University of Auckland, Auckland, New Zealand
| | - Rohan A Davis
- Griffith Institute for Drug Discovery, Griffith University, Brisbane, Australia
| | - Robert A Keyzers
- Centre for Biodiscovery, School of Chemical and Physical Sciences, Victoria University of Wellington, Wellington, New Zealand
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Muth T, Hartkopf F, Vaudel M, Renard BY. A Potential Golden Age to Come-Current Tools, Recent Use Cases, and Future Avenues for De Novo Sequencing in Proteomics. Proteomics 2018; 18:e1700150. [PMID: 29968278 DOI: 10.1002/pmic.201700150] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Revised: 05/23/2018] [Indexed: 01/15/2023]
Abstract
In shotgun proteomics, peptide and protein identification is most commonly conducted using database search engines, the method of choice when reference protein sequences are available. Despite its widespread use the database-driven approach is limited, mainly because of its static search space. In contrast, de novo sequencing derives peptide sequence information in an unbiased manner, using only the fragment ion information from the tandem mass spectra. In recent years, with the improvements in MS instrumentation, various new methods have been proposed for de novo sequencing. This review article provides an overview of existing de novo sequencing algorithms and software tools ranging from peptide sequencing to sequence-to-protein mapping. Various use cases are described for which de novo sequencing was successfully applied. Finally, limitations of current methods are highlighted and new directions are discussed for a wider acceptance of de novo sequencing in the community.
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Affiliation(s)
- Thilo Muth
- Bioinformatics Unit (MF 1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, 13353, Berlin, Germany
| | - Felix Hartkopf
- Bioinformatics Unit (MF 1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, 13353, Berlin, Germany
| | - Marc Vaudel
- K.G. Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, 5020, Bergen, Norway.,Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, 5020, Bergen, Norway
| | - Bernhard Y Renard
- Bioinformatics Unit (MF 1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, 13353, Berlin, Germany
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