Osteoprotegerin Expression in the Dental Pulp

Objectives: The inflammatory response to pulpal injury or infection has major clinical significance. Osteoprotegerin (OPG) is a soluble decoy receptor for Receptor Activator of NF kappa B Ligand (RANKL), preventing ligand binding to its receptor (RANK), thus inhibiting clastic cell formation. The aim of the study is to investigate the expression of OPG in human dental pulp and the effects of inflammatory mediators. This study will specifically investigate the effects of Transforming Growth Factor Beta-1 (TGF-β1) and Interleukin 1-Beta (IL-1β) on the expression of OPG on pulp fibroblasts in vitro. Method: Five primary pulp fibroblast populations were obtained by explant culture of healthy pulp tissue. Triplicate cultures were grown to confluence in 12-well plates and stimulated for 48 hours with IL-1β (10ng/ml) or TGF-β1 (10ng/ml). The conditioned media was collected and OPG levels detected by ELISA (R+D Systems, UK). Results: All fibroblast populations produced quantifiable levels of OPG in a time-dependant fashion. IL-1β significantly increased the expression of OPG (p<0.05) in all cultures. In contrast, TGF-β1 had no significant effect on OPG expression levels. In addition, previous work in our laboratory demonstrated both TGF-β1 and IL-1β stimulated OPG expression by periodontal ligament fibroblasts. Conclusion: These data indicate that IL-1β-regulated expression of OPG by pulpal fibroblasts may mediate hard tissue turnover in the inflamed dental pulp.

Osteoprotegerin expression by periodontal ligament fibroblasts

Objectives: Receptor Activator of NF-kappaB ligand (RANKL), through binding to its receptor (RANK), plays an important role in osteoclast differentiation and activation. Conversely, osteoprotegerin (OPG), a decoy receptor for RANKL, inhibits osteoclastogenesis and subsequent bone turnover. Little is known about the role of resident periodontal ligament fibroblasts in regulating bone turnover. The aim of this study was to determine (i) if periodontal ligament fibroblasts produced OPG in vitro and (ii) the effects of IL-1b and TGF-b1 on OPG expression. Methods: Three human periodontal ligament fibroblast populations, developed by explant culture, were grown to confluence in 6-well plates in DMEM supplemented with 10% FCS. Cells were washed in HBSS and then cultured for an additional 48 hours in serum-free media supplemented with IL-1b or TGF-b1 at 10ng/ml. OPG expression levels in the conditioned medium were determined by ELISA (R&D Systems, UK) and confirmed by Western blot. Results: All three fibroblast strains produced quantifiable levels of OPG. Both IL-1b and, to a lesser extent, TGF-b1 significantly stimulated OPG expression in all fibroblast strains (p<0.05). Pre-incubation of samples with N-glycosidase F prior to Western blots indicated glycosylation of expressed OPG. Conclusions: These data indicate that periodontal ligament fibroblasts can regulate osteoclast activation via the RANK/RANKL signalling pathway. These fibroblasts may play an important role in regulating bone turnover both in periodontal disease and orthodontic tooth movement.

A New Restricted Full-Rank Single-Symbol Decodable Design for Four Transmit Antennas

Recently, a single-symbol decodable transmit strategy based on preprocessing at the transmitter has been introduced to decouple the quasi-orthogonal space-time block codes (QOSTBC) with reduced complexity at the receiver [9]. Unfortunately, it does not achieve full diversity, thus suffering from significant performance loss. To tackle this problem, we propose a full diversity scheme with four transmit antennas in this letter. The proposed code is based on a class of restricted full-rank single-symbol decodable design (RFSDD) and has many similar characteristics as the coordinate interleaved orthogonal designs (CIODs), but with a lower peak-to-average ratio (PAR).

A hypercyclic finite rank perturbation of a unitary operator

A unitary operator V and a rank 2 operator R acting on a Hilbert space H are constructed such that V + R is hypercyclic. This answers affirmatively a question of Salas whether a finite rank perturbation of a hyponormal operator can be supercyclic.

Exploring Scale Effects of Best/Worst Rank Ordered Choice Data to Estimate Benefits of Tourism in Alpine Grazing Commons

In many environmental valuation applications standard sample sizes for choice modelling surveys are impractical to achieve. One can improve data quality using more in-depth surveys administered to fewer respondents. We report on a study using high quality rank-ordered data elicited with the best-worst approach. The resulting "exploded logit" choice model, estimated on 64 responses per person, was used to study the willingness to pay for external benefits by visitors for policies which maintain the cultural heritage of alpine grazing commons. We find evidence supporting this approach and reasonable estimates of mean WTP, which appear theoretically valid and policy informative. © The Author (2011).

The Rank of Queen's Counsel: Judicial Perspectives

The rank of queen's counsel, granted under the royal prerogative, has been part of the architecture of the legal profession and legal system since 1594 but has undergone many changes in that time, including most recently the adoption of new selection procedures. Recent cases in Northern Ireland have raised the question - what is the legal position of queen's counsel? By examining decided cases in context, this paper aims to explain judicial perspectives on what it means to be a QC.

Analysis of IL6 Signal Transduction Model using Reduced Rank Regression

This work presents the application of reduced rank regression to the field of systems biology. A computational approach is used to investigate the mechanisms of the janus-associated kinases/signal transducers and transcription factors (JAK/STAT) and mitogen activated protein kinases (MAPK) signal transduction pathways in hepatic cells stimulated by interleukin-6. The results obtained identify the contribution of individual reactions to the dynamics of the model. These findings are compared to previously available results from sensitivity analysis of the model which focused on the parameters involved and their effect. This application of reduced rank regression allows for an understanding of the individual reaction terms involved in the modelled signal transduction pathways and has the benefit of being computationally inexpensive. The obtained results complement existing findings and also confirm the importance of several protein complexes in the MAPK pathway which hints at benefits that can be achieved by further refining the model.