β-Caryophyllene Mitigates Collagen Antibody Induced Arthritis (CAIA) in Mice Through a Cross-Talk between CB2 and PPAR-γ Receptors.


Journal

Biomolecules
ISSN: 2218-273X
Titre abrégé: Biomolecules
Pays: Switzerland
ID NLM: 101596414

Informations de publication

Date de publication:
31 07 2019
Historique:
received: 11 06 2019
revised: 22 07 2019
accepted: 29 07 2019
entrez: 3 8 2019
pubmed: 3 8 2019
medline: 3 6 2020
Statut: epublish

Résumé

β-caryophyllene (BCP) is a cannabinoid receptor 2 (CB2) agonist that tempers inflammation. An interaction between the CB2 receptor and peroxisome proliferator-activated receptor gamma (PPAR-γ) has been suggested and PPAR-γ activation exerts anti-arthritic effects. The aim of this study was to characterize the therapeutic activity of BCP and to investigate PPAR-γ involvement in a collagen antibody induced arthritis (CAIA) experimental model. CAIA was induced through intraperitoneal injection of a monoclonal antibody cocktail and lipopolysaccharide (LPS; 50 μg/100 μL/ip). CAIA animals were then randomized to orally receive either BCP (10 mg/kg/100 μL) or its vehicle (100 μL of corn oil). BCP significantly hampered the severity of the disease, reduced relevant pro-inflammatory cytokines, and increased the anti-inflammatory cytokine IL-13. BCP also decreased joint expression of matrix metalloproteinases 3 and 9. Arthritic joints showed increased COX2 and NF-ĸB mRNA expression and reduced expression of the PPARγ coactivator-1 alpha, PGC-1α, and PPAR-γ. These conditions were reverted following BCP treatment. Finally, BCP reduced NF-ĸB activation and increased PGC-1α and PPAR-γ expression in human articular chondrocytes stimulated with LPS. These effects were reverted by AM630, a CB2 receptor antagonist. These results suggest that BCP ameliorates arthritis through a cross-talk between CB2 and PPAR-γ.

Identifiants

pubmed: 31370242
pii: biom9080326
doi: 10.3390/biom9080326
pmc: PMC6723248
pii:
doi:

Substances chimiques

Cytokines 0
NF-kappa B 0
PPAR gamma 0
Polycyclic Sesquiterpenes 0
Receptor, Cannabinoid, CB2 0
caryophyllene BHW853AU9H
Matrix Metalloproteinase 3 EC 3.4.24.17
Matrix Metalloproteinase 9 EC 3.4.24.35

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Natasha Irrera (N)

Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.

Angela D'Ascola (A)

Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.

Giovanni Pallio (G)

Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.

Alessandra Bitto (A)

Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.

Emanuela Mazzon (E)

IRCCS Centro Neurolesi "Bonino-Pulejo", 98124 Messina, Italy.

Federica Mannino (F)

Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.

Violetta Squadrito (V)

Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.

Vincenzo Arcoraci (V)

Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.

Letteria Minutoli (L)

Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.

Giuseppe Maurizio Campo (GM)

Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.

Angela Avenoso (A)

Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, 98125 Messina, Italy.

Elisa Benedetta Bongiorno (EB)

Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.

Mario Vaccaro (M)

Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.

Francesco Squadrito (F)

Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy. fsquadrito@unime.it.

Domenica Altavilla (D)

Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, 98125 Messina, Italy.

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Classifications MeSH