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.

Select, Link and Rank: Diversified Query Expansion and Entity Ranking using Wikipedia

A search query, being a very concise grounding of user intent, could potentially have many possible interpretations. Search engines hedge their bets by diversifying top results to cover multiple such possibilities so that the user is likely to be satisfied, whatever be her intended interpretation. Diversified Query Expansion is the problem of diversifying query expansion suggestions, so that the user can specialize the query to better suit her intent, even before perusing search results. We propose a method, Select-Link-Rank, that exploits semantic information from Wikipedia to generate diversified query expansions. SLR does collective processing of terms and Wikipedia entities in an integrated framework, simultaneously diversifying query expansions and entity recommendations. SLR starts with selecting informative terms from search results of the initial query, links them to Wikipedia entities, performs a diversity-conscious entity scoring and transfers such scoring to the term space to arrive at query expansion suggestions. Through an extensive empirical analysis and user study, we show that our method outperforms the state-of-the-art diversified query expansion and diversified entity recommendation techniques.

Energy efficiency analysis of rank-1 Ricean fading MIMO channels

This paper studies the energy efficiency (EE) of a point-to-point rank-1 Ricean fading multiple-input-multiple-output (MIMO) channel. In particular, a tight lower bound and an asymptotic approximation for the EE of the considered MIMO system are presented, under the assumption that the channel is unknown at the transmitter and perfectly known at the receiver. Moreover, the effects of different system parameters, namely, transmit power, spectral efficiency (SE), and number of transmit and receive antennas, on the EE are analytically investigated. An important observation is that, in the high signal-to-noise ratio regime and with the other system parameters fixed, the optimal transmit power that maximizes the EE increases as the Ricean-K factor increases. On the contrary, the optimal SE and the optimal number of transmit antennas decrease as K increases.