| Literature DB >> 29554899 |
Mariana Castro Martins1, Mandy J Peffers2, Katie Lee2, Luis M Rubio-Martinez3.
Abstract
BACKGROUND: Intra-articular administration of stanozolol has shown promising results by improving the clinical management of lameness associated with naturally-occurring osteoarthritis (OA) in horses, and by decreasing osteophyte formation and subchondral bone reaction in sheep following surgically induced OA. However, there is limited evidence on the anti-inflammatory and modulatory properties of stanozolol on articular tissues. The objective of the current study was to evaluate the effects of stanozolol on chondrocyte viability and gene expression in normal equine chondrocytes and an inflammatory in vitro system of OA (interleukin-1β (IL-1β) treated chondrocytes).Entities:
Keywords: Chondrocyte; Equine; Gene expression; In vitro; Osteoarthritis; Stanozolol
Mesh:
Substances:
Year: 2018 PMID: 29554899 PMCID: PMC5859414 DOI: 10.1186/s12917-018-1426-z
Source DB: PubMed Journal: BMC Vet Res ISSN: 1746-6148 Impact factor: 2.741
Fig. 1Effects of stanozolol on (a) ADAMTS4, (b) IL-6, (c) COX-2, (d) MMP-13 and (e) MMP-1 gene expression in normal and IL-1β-treated equine articular chondrocytes. Real-time-PCR analysis of the above genes mRNA in monolayer cultures exposed to media, IL-1β, IL-1β + stanozolol and stanozolol. GAPDH was used as the housekeeping gene and data are represented as relative expression using the 2–ΔΔCT method. Data were evaluated using a general linear model with Dunnet’s comparisons against the control group and pairwise comparisons with Bonferroni’s adjustment (n = 7, three technical replicates per treatment group)
Fig. 2Effect of stanozolol on (a) COL2A1, (b) SOX-9 and (c) aggrecan gene expression in normal and IL-1β-treated equine articular chondrocytes. Real-time-PCR analysis of the above genes mRNA in monolayer cultures exposed to media, IL-1β, IL-1β + stanozolol and stanozolol. GAPDH was used as the housekeeping gene and data are represented as relative expression using the 2–ΔΔCT method. Data were evaluated using a general linear model with Dunnet’s comparisons against the control group and pairwise comparisons with Bonferroni’s adjustment (n = 7, three technical replicates per treatment group)