Toll-like receptor 9 (TLR9) recognizes microbial DNA. We show here that TLR9 protein is expressed in human breast cancer cells and clinical breast cancer samples. Stimulation of TLR9-expressing breast cancer cells with the TLR9 agonistic CpG oligonucleotides (1-10 Mmol/L) dramatically increased their in vitro invasion in both Matrigel assays and three-dimensional collagen cultures. Similar effects on invasion were seen in TLR9-expressing astrocytoma and glioblastoma cells and in the immortalized human breast epithelial cell line MCF-10A. This effect was not, however, dependent on the CpG content of the TLR9 ligands because the non-CpG oligonucleotides induced invasion of TLR9-expressing cells. CpG or non-CpG oligonucleotide-induced invasion in MDA-MB-231 cells was blunted by chloroquine and they did not induce invasion of TLR9 À breast cancer cells.Treatment of MDA-MB-231 cells with CpG or non-CpG oligonucleotides induced the formation of f50-kDa gelatinolytic band in zymograms. This band and the increased invasion were abolished by a matrix metalloproteinase (MMP) inhibitor GM6001 but not by a serine proteinase inhibitor aprotinin. Furthermore, CpG oligonucleotide treatment decreased tissue inhibitor of metalloproteinase-3 expression and increased levels of active MMP-13 in TLR9-expressing but not TLR9 À breast cancer cells without affecting MMP-8. Neutralizing anti-MMP-13 antibodies inhibited the CpG oligonucleotide-induced invasion. These findings suggest that infections may promote cancer progression through a novel TLR9-mediated mechanism. They also propose a new molecular target for cancer therapy, because TLR9 has not been associated with cancer invasiveness previously.

Normal bone remodeling and pathological bone destruction have been considered to be osteoclast-driven. Osteoclasts are able to attach to bare bone surface and produce an acidic subcellular space. This leads to acid dissolution of hydroxyapatite, allowing cathepsin K to degrade the organic type I collagen-rich osteoid matrix under the acidic condition prevailing in Howship lacunae. Using a sting pH electrode, the interface membrane around a loosened total hip replacement prosthesis was found to be acidic.

Periodontitis is bacterial infection of tooth-supporting tissues leading to inflammation and, subsequently, to loss of teeth. It is one of the most common infections worldwide. Recent studies have shown that periodontal infection may pose a threat to general health by increasing the risk of cardiovascular and lung diseases, and preterm labour. Thus, useful markers of systemic exposure to periodontitis are needed. Markers of periodontitis in serum include those derived directly from periodontopathic pathogens and those originating from the host defence and immune mechanisms. Periodontitis is associated with endotoxemia, which can be directly measured as elevated concentrations of lipopolysaccharide (LPS) in periodontitis patients compared with healthy subjects. Also indirect methods determining endotoxemia, such as elevated concentrations of serum LPS binding protein, soluble CD14, and antibodies to LPS of periodontal pathogens have been reported. Surrogate measures of the host response against periodontal infection, such as matrix metalloproteinases, cytokines, chemokines, inflammation markers, antiphospholipid antibodies, and antibodies to periodontal pathogens, have been used. Of these, however, only antibodies to periodontal pathogens may be seen as specific markers of systemic exposure to periodontopathic pathogens. In this paper we describe and discuss serum markers of periodontitis that have been used for research purposes and/or to support diagnostics. Based on literature review, we encourage research and development of serum screening methods for periodontitis that could be used by general physicians.

In the present study, we propose a novel diagnostic approach, using 3 different salivary markers, representing periodontal pathogen burden, inflammation, and tissue degradation, for detecting periodontitis. The salivary concentrations of Porphyromonas gingivalis, interleukin-1β, and matrix metalloproteinase-8, available from salivary specimens of 165 subjects (84 subjects with advanced periodontitis and 81 controls), were calculated together to obtain a cumulative risk score (CRS). In the calculation of CRS, the concentrations of each marker were divided into tertiles, and cumulative sub-score per each subject were calculated by the multiplication of the tertile values. Three CRS groups, indicating the lowest, medium, or highest risk, were formed with the cumulative sub-scores. Logistic regression analysis and ROC curves were performed to study the association of CRS with periodontitis. The results indicate that CRS, calculated from the 3 salivary biomarkers, is associated with advanced periodontitis more strongly than any of the markers individually. CRS offers a novel, non-invasive model for advanced periodontitis risk categorization that is especially useful in large population surveys where a periodontal examination is not feasible.