The effect of melanocortin peptides on Interleukin 1-beta induced chondrocyte cell death and inflammation

ntroduction: Osteoarthritis (OA) is a degenerative joint disease affecting more than 8.5 million people in the UK. Disruption in the catabolic and anabolic balance, with the catabolic cytokine Interleukin 1 beta (IL-1β) being involved in the initiation and progression of OA (1). Melanocortin peptides (α-MSH and D[Trp8]-γ-MSH) exert their anti-inflammatory effects via activation of melanocortin receptors (MC), with both MC1 and MC3 being identified as promising candidates as novel targets for OA (2). This study aims to assess the chondroprotective and anti-inflammatory effects of the pan melanocortin receptor agonist α-MSH and MC3 agonist D[Trp8]-γ-MSH following IL-1β chondrocyte stimulation. Methods: RT-PCR/ Western Blot: Human C-20/A4 chondrocytic cell-line were cultured in 6 well plates (1x106 cells/well) and harvested to determine MC and IL-1β expression by RT-PCR, and Western Blot. Cell-Culture: Cells were cultured in 96 well plates (1x106 cells/well) and stimulated with H2O2 (0.3%), TNF-α (60 pg/ml) or IL-1β (0-5000pg/ml) for 0-72h and cell viability determined. Drug Treatment: In separate experiments cells were pre-treated with 3 μg/ml α-MSH (Sigma-Aldrich Inc. Poole, UK), or D[Trp8]-γ-MSH (Phoenix Pharmaceuticals, Karlsrhue, Germany) (all dissolved in PBS) for 30 minutes prior to IL-1β (5000pg/ml) stimulation for 6-24h. Analysis: Cell viability was determined by using the three cell viability assays; Alamar Blue, MTT and the Neutral Red (NR) assay. Cell-free supernatants were collected and analysed for Interleukin -6 (IL-6) and IL-8 release by ELISA. Data expressed as Mean ± SD of n=4-8 determination in quadruplicate. *p≤ 0.05 vs. control. Results: Both RT-PCR, and Western Blot showed MC1 and MC3 expression on C-20/A4 cells. Cell viability analysis: IL-1β stimulation led to a maximal cell death of 35% at 6h (Alamar Blue), and 40% and 75% with MTT and Neutral Red respectively at 24h compared to control. The three cell viability assays have different cellular uptake pathways, which accounts for the variations observed in cell viability in response to the concentration of IL-1β, and time. Cytokine analysis by ELISA: IL-1β (5000pg/ml) stimulation for 6 and 24h showed maximal IL-6 production 292.3 ±3.8 and 275.5 ±5.0 respectively, and IL-8 production 353.3 ±2.6 and 598.3 ±8.6 respectively. Pre-treatment of cells with α-MSH and D[Trp8]-γ-MSH caused significant reductions in both IL-6 and IL-8 respectively following IL-1β stimulation at 6h. Conclusion: MC1/3 are expressed on C-20/A4 cells, activation by melanocortin peptides led to an inhibition of IL-1β induced cell death and pro-inflammatory cytokine release.

Achieving human security through UN human rights law: prospects and challenges

This paper explores the prospects and challenges of achieving human security through United Nations (UN) human rights law. The paper does not aim to pronounce definitively on the achievement of human security by way of UN human rights law that is, to assess the achievement of human security per se 'as a future end state'. Rather the focus of the paper is firmly placed on the capacity of UN human rights law to achieve human security. The paper departs from the premise that if human rights define human security, international human rights law and UN human rights law in particular should have something to say about the achievement of human security.

Fractionating Human Intelligence

What makes one person more intellectually able than another? Can the entire distribution of human intelligence be accounted for by just one general factor? Is intelligence supported by a single neural system? Here, we provide a perspective on human intelligence that takes into account how general abilities or ‘‘factors’’ reflect the functional organiza- tion of the brain. By comparing factor models of individual differences in performance with factor models of brain functional organization, we demon- strate that different components of intelligence have their analogs in distinct brain networks. Using simulations based on neuroimaging data, we show that the higher-order factor ‘‘g’’ is accounted for by cognitive tasks corecruiting multiple networks. Finally, we confirm the independence of these com- ponents of intelligence by dissociating them using questionnaire variables. We propose that intelli- gence is an emergent property of anatomically distinct cognitive systems, each of which has its own capacity.