Is oxidative stress involved in the hepatic inflammatory response to apical periodontitis? A comparative study in normal and hyperlipidaemic rat.

AIM: The aim of the study was to explore the involvement of oxidative stress (OS) in the hepatic inflammation induced by apical periodontitis (AP). Periapical, systemic and hepatic reaction to AP under hyperlipidaemia was also investigated. METHODOLOGY: A total of 16 male Sprague-Dawley rats were fed with a hyperlipidaemic diet (HD) whereas another 16 rats with a normal diet (ND). After 9 weeks, the first molars of the right maxilla and mandible of 8 HD and 8 ND rats were exposed to induce AP (ND, ND + AP, HD and HD + AP group). After 5 weeks, rats were euthanized, the haematological tissue was collected directly from the heart, and serum levels of inflammatory cytokines were measured. Liver tissue was analysed by haematoxylin-eosin and Masson staining, and reverse transcription-polymerase chain reaction (RT-PCR) was performed to detect mRNA expression of inflammatory cytokines. Serum, periapical, and hepatic OS parameters including total oxidant status (TOS), total antioxidant capacity (TAOC) and oxidative stress index (OSI) were measured by enzyme-linked immunosorbent assay (ELISA). The area of AP lesion in the right maxilla or mandible was radiographically assessed. Student's t-test was performed on the periapical data. A one-way analysis of variance and the Kruskal-Wallis test were analysed for others. RESULTS: The HD + AP group had a larger AP lesion in the maxilla, compared with the ND + AP group (p < .05). The ND + AP group presented higher serum interleukin (IL)-18, IL-1ß, TOS, OSI levels, lower serum TOAC levels, higher hepatic tumour necrosis factor (TNF)-α mRNA expression and higher hepatic TOS, and OSI levels, compared with the ND group (p < .05). The HD + AP group had lower serum IL-4 level, higher serum IL-1ß level, and higher hepatic IL-6 and transforming growth factor (TGF) -ß1 mRNA expression, compared with the HD group (p < .05). CONCLUSIONS: Apical periodontitis could activate systemic and liver inflammation by promoting serum IL-18, 1L-1ß, TOS and OSI expression, enhancing hepatic TOS and OSI expression and inhibiting serum TOAC expression. AP under hyperlipidaemia led to more profound periapical bone destruction in the maxilla and elicit systemic and liver inflammatory responses through elevating serum levels of IL-1ß, descending serum IL-4 level and improving hepatic IL-6 and TGF-ß1 expression.

Effects of chronic apical periodontitis on the inflammatory response of the aorta in hyperlipemic rats.

OBJECTIVES: To study the effects of chronic apical periodontitis (CAP) on the inflammatory response and initial lesion of aorta in hyperlipemic rats. MATERIALS AND METHODS: Sprague-Dawley (SD) rats aged 14 weeks were randomly divided into 4 experimental groups (n = 8), namely, normal diet (ND), high-fat diet (HFD), CAP, and HFD + CAP. The rats were raised under controlled conditions and fed with diet specified for each group. All subjects were euthanatized after 14 weeks for histopathological analysis. Serum cytokines were analyzed to assess changes in gene and protein expression of aorta via enzyme-linked immunosorbent assay and real-time polymerase chain reaction. Results were analyzed by one-way ANOVA. RESULTS: Low-density lipoprotein cholesterol levels in rats in HFD + CAP group were significantly higher than those in other groups. By comparison, low-density lipoprotein cholesterol levels in rats in both the HFD and HFD + CAP groups were significantly lower than those in the other groups. No significant difference among all groups was observed in terms of CRP level. However, levels of IL-2, IL-6, and IL-10 increased in the experimental CAP rats compared with the control rats. mRNA expression levels of MCP-1, TLR-4, and NF-κB p65 were markedly elevated in rats in the HFD group compared with those in rats in the ND group. TLR-4 mRNA expression was significantly higher in rats in the HFD + CAP group than that in rats in the HFD group. CONCLUSIONS: CAP mediated the high expression of cytokines and induced the initial inflammatory response in the aorta. Apical periodontitis may affect the level of inflammatory cytokines (IL-2, IL-6, and IL-10) depending on the immune response. CLINICAL RELEVANCE: CAP may trigger a systemic inflammatory response and affect the aorta of patients.

Minimizing Concentration of Sodium Hypochlorite in Root Canal Irrigation by Combination of Ultrasonic Irrigation with Photodynamic Treatment.

Concentration of sodium hypochlorite (NaOCl) is positively correlated with its effectiveness in root canal disinfection but negatively correlated with its biocompatibility. The objective of this in vitro study was to compare the bactericidal effects among ultrasonic irrigation with different concentration of NaOCl alone or together with photodynamic treatment (PDT) against Enterococcus faecalis (E. faecalis) in infected root canals. One hundred and twenty bovine root canals contaminated with E. faecalis were randomly distributed into 12 groups treated with different disinfection methods: PDT, ultrasonic irrigation with NaOCl at different concentrations (0.5%, 1.0%, 2.0%, 2.5% and 5.25%), and ultrasonic irrigation with NaOCl at different concentrations plus PDT. Data of microorganism load were collected before and after disinfection and analyzed by one-way ANOVA and LSD tests. Significantly enhanced antibacterial effects were noticed in groups treated by PDT plus 2.0% or 2.5% NaOCl irrigation (P < 0.05). No statistical differences existed in bactericidal efficacy among groups of PDT plus ultrasonic irrigation with 2.0%, 2.5% or 5.25% NaOCl, and ultrasonic irrigation with 5.25% NaOCl alone (P > 0.05). Our study confirmed the feasibility to reduce the concentration of NaOCl to a safer level while maintaining its antibacterial efficiency through synergistic effect of PDT with NaOCl ultrasonic irrigation.

MIAPS: a web-based system for remotely accessing and presenting medical images.

MIAPS (medical image access and presentation system) is a web-based system designed for remotely accessing and presenting DICOM image. MIAPS is accessed with web browser through the Internet. MIAPS provides four features: DICOM image retrieval, maintenance, presentation and output. MIAPS does not intent to replace sophisticated commercial and open source packages, but it provides a web-based solution for teleradiology and medical image sharing. The system has been evaluated by 39 hospitals in China for 10 months.

Multiview locally linear embedding for effective medical image retrieval.

Content-based medical image retrieval continues to gain attention for its potential to assist radiological image interpretation and decision making. Many approaches have been proposed to improve the performance of medical image retrieval system, among which visual features such as SIFT, LBP, and intensity histogram play a critical role. Typically, these features are concatenated into a long vector to represent medical images, and thus traditional dimension reduction techniques such as locally linear embedding (LLE), principal component analysis (PCA), or laplacian eigenmaps (LE) can be employed to reduce the "curse of dimensionality". Though these approaches show promising performance for medical image retrieval, the feature-concatenating method ignores the fact that different features have distinct physical meanings. In this paper, we propose a new method called multiview locally linear embedding (MLLE) for medical image retrieval. Following the patch alignment framework, MLLE preserves the geometric structure of the local patch in each feature space according to the LLE criterion. To explore complementary properties among a range of features, MLLE assigns different weights to local patches from different feature spaces. Finally, MLLE employs global coordinate alignment and alternating optimization techniques to learn a smooth low-dimensional embedding from different features. To justify the effectiveness of MLLE for medical image retrieval, we compare it with conventional spectral embedding methods. We conduct experiments on a subset of the IRMA medical image data set. Evaluation results show that MLLE outperforms state-of-the-art dimension reduction methods.

Dual-force ISOMAP: a new relevance feedback method for medical image retrieval.

With great potential for assisting radiological image interpretation and decision making, content-based image retrieval in the medical domain has become a hot topic in recent years. Many methods to enhance the performance of content-based medical image retrieval have been proposed, among which the relevance feedback (RF) scheme is one of the most promising. Given user feedback information, RF algorithms interactively learn a user's preferences to bridge the "semantic gap" between low-level computerized visual features and high-level human semantic perception and thus improve retrieval performance. However, most existing RF algorithms perform in the original high-dimensional feature space and ignore the manifold structure of the low-level visual features of images. In this paper, we propose a new method, termed dual-force ISOMAP (DFISOMAP), for content-based medical image retrieval. Under the assumption that medical images lie on a low-dimensional manifold embedded in a high-dimensional ambient space, DFISOMAP operates in the following three stages. First, the geometric structure of positive examples in the learned low-dimensional embedding is preserved according to the isometric feature mapping (ISOMAP) criterion. To precisely model the geometric structure, a reconstruction error constraint is also added. Second, the average distance between positive and negative examples is maximized to separate them; this margin maximization acts as a force that pushes negative examples far away from positive examples. Finally, the similarity propagation technique is utilized to provide negative examples with another force that will pull them back into the negative sample set. We evaluate the proposed method on a subset of the IRMA medical image dataset with a RF-based medical image retrieval framework. Experimental results show that DFISOMAP outperforms popular approaches for content-based medical image retrieval in terms of accuracy and stability.