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Tomić M, Nastić K, Dinić M, Brdarić E, Kotur-Stevuljević J, Pecikoza U, Pavićević D, Micov A, Milenković D, Jovanović A, Stepanović-Petrović R. Vortioxetine reduces the development of pain-related behaviour in a knee osteoarthritis model in rats: Involvement of nerve growth factor (NGF) down-regulation. Br J Pharmacol 2024; 181:5079-5093. [PMID: 39299793 DOI: 10.1111/bph.17342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 07/31/2024] [Accepted: 08/04/2024] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND AND PURPOSE Vortioxetine, a multimodal-acting antidepressant, has recently shown analgesic properties. We aimed to investigate its prophylactic effect in the osteoarthritis (OA) model and gain insights into the underlying molecular mechanisms. Duloxetine was studied as a reference. EXPERIMENTAL APPROACH In the monoiodoacetate (MIA)-induced rat model of knee OA, pain-related behaviour was assessed in weight-bearing and Von Frey tests. Antidepressants were administered orally once daily for 28 days. Gene expression of pain-related mediators (Ngf, Il-1β, Tnf-α, Bdnf, and Tac1 encoding substance P) and oxidative stress parameters were determined after completion of the treatment/behavioural testing protocol. KEY RESULTS Vortioxetine and duloxetine dose dependently reduced weight-bearing asymmetry and mechanical hyperalgesia of the paw ipsilateral to the MIA-injected knee. Vortioxetine reduced the increased Ngf mRNA expression in the MIA-injected knees to the level in sham-injected counterparts. It reduced oxidative stress parameters in the affected knees, more effectively in females than males. Duloxetine showed no effect on Ngf mRNA expression and oxidative stress. Both antidepressants decreased mRNA expression of pain-related mediators in the lumbar L3-L5 ipsilateral DRGs and spinal cords, which were up-regulated in MIA-injected rats. This effect was male-specific. CONCLUSION AND IMPLICATIONS Vortioxetine may be effective against the development of chronic pain in OA. Its antihyperalgesic effect may be mediated, at least in part, by normalization of NGF expression in the affected joint. Decrease of localized oxidative stress and of expression of pain-related mediators that contribute to central sensitization are also involved in vortioxetine's antihyperalgesic effect, in a sex-specific pattern.
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Affiliation(s)
- Maja Tomić
- Department of Pharmacology, University of Belgrade - Faculty of Pharmacy, Belgrade, Serbia
| | - Katarina Nastić
- Department of Pharmacology, University of Belgrade - Faculty of Pharmacy, Belgrade, Serbia
| | - Miroslav Dinić
- Group for Probiotics and Microbiota-Host Interaction, Institute of Molecular Genetics and Genetic Engineering (IMGGE), University of Belgrade, Belgrade, Serbia
| | - Emilija Brdarić
- Group for Probiotics and Microbiota-Host Interaction, Institute of Molecular Genetics and Genetic Engineering (IMGGE), University of Belgrade, Belgrade, Serbia
| | - Jelena Kotur-Stevuljević
- Department of Medical Biochemistry, University of Belgrade - Faculty of Pharmacy, Belgrade, Serbia
| | - Uroš Pecikoza
- Department of Pharmacology, University of Belgrade - Faculty of Pharmacy, Belgrade, Serbia
| | - David Pavićević
- Department of Pharmacology, University of Belgrade - Faculty of Pharmacy, Belgrade, Serbia
| | - Ana Micov
- Department of Pharmacology, University of Belgrade - Faculty of Pharmacy, Belgrade, Serbia
| | - Danijela Milenković
- Department of Physics and Mathematics, University of Belgrade - Faculty of Pharmacy, Belgrade, Serbia
| | - Aleksandar Jovanović
- Department of Basic and Clinical Sciences, University of Nicosia - Medical School, Nicosia, Cyprus
- Center for Neuroscience and Integrative Brain Research (CENIBRE), University of Nicosia - Medical School, Nicosia, Cyprus
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5
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Zou B, Cao C, Fu Y, Pan D, Wang W, Kong L. Berberine Alleviates Gastroesophageal Reflux-Induced Airway Hyperresponsiveness in a Transient Receptor Potential A1-Dependent Manner. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE : ECAM 2022; 2022:7464147. [PMID: 35586690 PMCID: PMC9110152 DOI: 10.1155/2022/7464147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 03/24/2022] [Accepted: 04/21/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND To investigate the beneficial effect of berberine on gastroesophageal reflux-induced airway hyperresponsiveness (GERAHR) and explore the underlying mechanism. METHODS Coword cluster analysis and strategic coordinates were used to identify hotspots for GERAHR research, and an online tool (STRING, https://string-db.org/) was used to predict the potential relationships between proteins. Guinea pigs with chemically induced GERAHR received PBS or different berberine-based treatments to evaluate the therapeutic effect of berberine and characterize the underlying mechanism. Airway responsiveness was assessed using a plethysmography system, and protein expression was evaluated by western blotting, immunohistochemical staining, and quantitative PCR analysis. RESULTS Bioinformatics analyses revealed that TRP channels are hotspots of GERAHR research, and TRPA1 is related to the proinflammatory neuropeptide substance P (SP). Berberine, especially at the middle dose tested (MB, 150 mg/kg), significantly improved lung function, suppressed inflammatory cell infiltration, and protected inflammation-driven tissue damage in the lung, trachea, esophagus, and nerve tissues in GERAHR guinea pigs. MB reduced the expression of TRPA1, SP, and tumor necrosis factor-alpha (TNF-α) in evaluated organs and tissues. Meanwhile, the MB-mediated protective effects were attenuated by simultaneous TRPA1 activation. CONCLUSIONS Mechanistically, berberine was found to suppress GERAHR-induced upregulation of TRPA1, SP, and TNF-α in many tissues. Our study has highlighted the potential therapeutic value of berberine for the treatment of GERAHR.
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Affiliation(s)
- Bo Zou
- Institute of Respiratory Diseases, The First Hospital of China Medical University, Shenyang City, Liaoning Province, China
- Department of Respiratory and Critical Care Medicine, The Fourth Affiliated Hospital of China Medical University, Shenyang City, Liaoning Province, China
| | - Chaofan Cao
- Institute of Respiratory Diseases, The First Hospital of China Medical University, Shenyang City, Liaoning Province, China
- Department of Respiratory Medicine, The Second Affiliated Hospital of Shenyang Medical College, Shenyang City, Liaoning Province, China
| | - Yue Fu
- Institute of Respiratory Diseases, The First Hospital of China Medical University, Shenyang City, Liaoning Province, China
| | - Dianzhu Pan
- Department of Respiratory Medicine, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou City, Liaoning Province, China
| | - Wei Wang
- Institute of Respiratory Diseases, The First Hospital of China Medical University, Shenyang City, Liaoning Province, China
| | - Lingfei Kong
- Institute of Respiratory Diseases, The First Hospital of China Medical University, Shenyang City, Liaoning Province, China
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6
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Yao Z, Liu H, Xie F, Fischer S, Adkins RS, Aldridge AI, Ament SA, Bartlett A, Behrens MM, Van den Berge K, Bertagnolli D, de Bézieux HR, Biancalani T, Booeshaghi AS, Bravo HC, Casper T, Colantuoni C, Crabtree J, Creasy H, Crichton K, Crow M, Dee N, Dougherty EL, Doyle WI, Dudoit S, Fang R, Felix V, Fong O, Giglio M, Goldy J, Hawrylycz M, Herb BR, Hertzano R, Hou X, Hu Q, Kancherla J, Kroll M, Lathia K, Li YE, Lucero JD, Luo C, Mahurkar A, McMillen D, Nadaf NM, Nery JR, Nguyen TN, Niu SY, Ntranos V, Orvis J, Osteen JK, Pham T, Pinto-Duarte A, Poirion O, Preissl S, Purdom E, Rimorin C, Risso D, Rivkin AC, Smith K, Street K, Sulc J, Svensson V, Tieu M, Torkelson A, Tung H, Vaishnav ED, Vanderburg CR, van Velthoven C, Wang X, White OR, Huang ZJ, Kharchenko PV, Pachter L, Ngai J, Regev A, Tasic B, Welch JD, Gillis J, Macosko EZ, Ren B, Ecker JR, Zeng H, Mukamel EA. A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex. Nature 2021; 598:103-110. [PMID: 34616066 PMCID: PMC8494649 DOI: 10.1038/s41586-021-03500-8] [Citation(s) in RCA: 174] [Impact Index Per Article: 58.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 03/26/2021] [Indexed: 12/30/2022]
Abstract
Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased samples of the diverse cell types in the brain1-3. With the proliferation of multi-omics datasets, a major challenge is to validate and integrate results into a biological understanding of cell-type organization. Here we generated transcriptomes and epigenomes from more than 500,000 individual cells in the mouse primary motor cortex, a structure that has an evolutionarily conserved role in locomotion. We developed computational and statistical methods to integrate multimodal data and quantitatively validate cell-type reproducibility. The resulting reference atlas-containing over 56 neuronal cell types that are highly replicable across analysis methods, sequencing technologies and modalities-is a comprehensive molecular and genomic account of the diverse neuronal and non-neuronal cell types in the mouse primary motor cortex. The atlas includes a population of excitatory neurons that resemble pyramidal cells in layer 4 in other cortical regions4. We further discovered thousands of concordant marker genes and gene regulatory elements for these cell types. Our results highlight the complex molecular regulation of cell types in the brain and will directly enable the design of reagents to target specific cell types in the mouse primary motor cortex for functional analysis.
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Affiliation(s)
- Zizhen Yao
- grid.417881.3Allen Institute for Brain Science, Seattle, WA USA
| | - Hanqing Liu
- grid.250671.70000 0001 0662 7144Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA USA
| | - Fangming Xie
- grid.266100.30000 0001 2107 4242Department of Physics, University of California, San Diego, La Jolla, CA USA
| | - Stephan Fischer
- grid.225279.90000 0004 0387 3667Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY USA
| | - Ricky S. Adkins
- grid.411024.20000 0001 2175 4264Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD USA
| | - Andrew I. Aldridge
- grid.250671.70000 0001 0662 7144Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA USA
| | - Seth A. Ament
- grid.411024.20000 0001 2175 4264Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD USA
| | - Anna Bartlett
- grid.250671.70000 0001 0662 7144Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA USA
| | - M. Margarita Behrens
- grid.250671.70000 0001 0662 7144Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA USA
| | - Koen Van den Berge
- grid.47840.3f0000 0001 2181 7878Department of Statistics, University of California, Berkeley, Berkeley, CA USA ,grid.5342.00000 0001 2069 7798Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Gent, Belgium
| | | | - Hector Roux de Bézieux
- grid.47840.3f0000 0001 2181 7878Division of Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, CA USA
| | | | - A. Sina Booeshaghi
- grid.20861.3d0000000107068890California Institute of Technology, Pasadena, CA USA
| | - Héctor Corrada Bravo
- grid.164295.d0000 0001 0941 7177Center for Bioinformatics and Computational Biology, University of Maryland, College Park, College Park, MD USA
| | - Tamara Casper
- grid.417881.3Allen Institute for Brain Science, Seattle, WA USA
| | - Carlo Colantuoni
- grid.21107.350000 0001 2171 9311Johns Hopkins School of Medicine, Department of Neurology, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Johns Hopkins School of Medicine, Department of Neuroscience, Baltimore, MD USA ,grid.411024.20000 0001 2175 4264University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD USA
| | - Jonathan Crabtree
- grid.411024.20000 0001 2175 4264Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD USA
| | - Heather Creasy
- grid.411024.20000 0001 2175 4264Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD USA
| | | | - Megan Crow
- grid.225279.90000 0004 0387 3667Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY USA
| | - Nick Dee
- grid.417881.3Allen Institute for Brain Science, Seattle, WA USA
| | | | - Wayne I. Doyle
- grid.266100.30000 0001 2107 4242Department of Cognitive Science, University of California, San Diego, La Jolla, CA USA
| | - Sandrine Dudoit
- grid.47840.3f0000 0001 2181 7878Department of Statistics, University of California, Berkeley, Berkeley, CA USA
| | - Rongxin Fang
- grid.266100.30000 0001 2107 4242Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, San Diego, CA USA
| | - Victor Felix
- grid.411024.20000 0001 2175 4264Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD USA
| | - Olivia Fong
- grid.417881.3Allen Institute for Brain Science, Seattle, WA USA
| | - Michelle Giglio
- grid.411024.20000 0001 2175 4264Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD USA
| | - Jeff Goldy
- grid.417881.3Allen Institute for Brain Science, Seattle, WA USA
| | - Mike Hawrylycz
- grid.417881.3Allen Institute for Brain Science, Seattle, WA USA
| | - Brian R. Herb
- grid.411024.20000 0001 2175 4264Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD USA
| | - Ronna Hertzano
- grid.411024.20000 0001 2175 4264Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD USA ,grid.411024.20000 0001 2175 4264Department of Otorhinolaryngology, Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD USA
| | - Xiaomeng Hou
- grid.266100.30000 0001 2107 4242Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA USA
| | - Qiwen Hu
- grid.38142.3c000000041936754XDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Jayaram Kancherla
- grid.164295.d0000 0001 0941 7177Center for Bioinformatics and Computational Biology, University of Maryland, College Park, College Park, MD USA
| | - Matthew Kroll
- grid.417881.3Allen Institute for Brain Science, Seattle, WA USA
| | - Kanan Lathia
- grid.417881.3Allen Institute for Brain Science, Seattle, WA USA
| | - Yang Eric Li
- grid.1052.60000000097371625Ludwig Institute for Cancer Research, La Jolla, CA USA
| | - Jacinta D. Lucero
- grid.250671.70000 0001 0662 7144Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA USA
| | - Chongyuan Luo
- grid.250671.70000 0001 0662 7144Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA USA ,grid.19006.3e0000 0000 9632 6718Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA USA ,grid.250671.70000 0001 0662 7144Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA USA
| | - Anup Mahurkar
- grid.411024.20000 0001 2175 4264Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD USA
| | | | - Naeem M. Nadaf
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Joseph R. Nery
- grid.250671.70000 0001 0662 7144Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA USA
| | | | - Sheng-Yong Niu
- grid.250671.70000 0001 0662 7144Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA USA
| | - Vasilis Ntranos
- grid.266102.10000 0001 2297 6811University of California, San Francisco, San Francisco, CA USA
| | - Joshua Orvis
- grid.411024.20000 0001 2175 4264Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD USA
| | - Julia K. Osteen
- grid.250671.70000 0001 0662 7144Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA USA
| | - Thanh Pham
- grid.417881.3Allen Institute for Brain Science, Seattle, WA USA
| | - Antonio Pinto-Duarte
- grid.250671.70000 0001 0662 7144Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA USA
| | - Olivier Poirion
- grid.266100.30000 0001 2107 4242Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA USA
| | - Sebastian Preissl
- grid.266100.30000 0001 2107 4242Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA USA
| | - Elizabeth Purdom
- grid.47840.3f0000 0001 2181 7878Department of Statistics, University of California, Berkeley, Berkeley, CA USA
| | | | - Davide Risso
- grid.5608.b0000 0004 1757 3470Department of Statistical Sciences, University of Padova, Padova, Italy
| | - Angeline C. Rivkin
- grid.250671.70000 0001 0662 7144Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA USA
| | - Kimberly Smith
- grid.417881.3Allen Institute for Brain Science, Seattle, WA USA
| | - Kelly Street
- grid.65499.370000 0001 2106 9910Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA USA
| | - Josef Sulc
- grid.417881.3Allen Institute for Brain Science, Seattle, WA USA
| | - Valentine Svensson
- grid.20861.3d0000000107068890California Institute of Technology, Pasadena, CA USA
| | - Michael Tieu
- grid.417881.3Allen Institute for Brain Science, Seattle, WA USA
| | - Amy Torkelson
- grid.417881.3Allen Institute for Brain Science, Seattle, WA USA
| | - Herman Tung
- grid.417881.3Allen Institute for Brain Science, Seattle, WA USA
| | | | | | | | - Xinxin Wang
- grid.266100.30000 0001 2107 4242Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA USA ,grid.4367.60000 0001 2355 7002Present Address: McDonnell Genome Institute, Washington University School of Medicine, St Louis, MO USA
| | - Owen R. White
- grid.411024.20000 0001 2175 4264Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD USA
| | - Z. Josh Huang
- grid.225279.90000 0004 0387 3667Cold Spring Harbor Laboratory, Cold Spring Harbor, NY USA
| | - Peter V. Kharchenko
- grid.38142.3c000000041936754XDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Lior Pachter
- grid.20861.3d0000000107068890California Institute of Technology, Pasadena, CA USA
| | - John Ngai
- grid.47840.3f0000 0001 2181 7878Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA USA
| | - Aviv Regev
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.116068.80000 0001 2341 2786Howard Hughes Medical Institute, Department of Biology, MIT, Cambridge, MA USA
| | - Bosiljka Tasic
- grid.417881.3Allen Institute for Brain Science, Seattle, WA USA
| | - Joshua D. Welch
- grid.214458.e0000000086837370Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI USA
| | - Jesse Gillis
- grid.225279.90000 0004 0387 3667Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY USA
| | - Evan Z. Macosko
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Bing Ren
- grid.266100.30000 0001 2107 4242Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA USA ,grid.1052.60000000097371625Ludwig Institute for Cancer Research, La Jolla, CA USA
| | - Joseph R. Ecker
- grid.250671.70000 0001 0662 7144Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA USA ,grid.250671.70000 0001 0662 7144Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA USA
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA, USA.
| | - Eran A. Mukamel
- grid.266100.30000 0001 2107 4242Department of Cognitive Science, University of California, San Diego, La Jolla, CA USA
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