Disclosed is an in vitro method for assessing whether a human subject has periodontitis. The method comprises detecting, in a sample of saliva from said subject, the concentrations of the proteins Hepatocyte Growth Factor (HGF) and Matrix Metalloproteinase 8 (MMP-8). Based on the concentrations determined, and adding age, and possibly other demographic markers such as sex and/or BMI, a testing value reflecting the joint concentrations is determined for said proteins, in combination with one or more demographic markers. The testing value is compared with a threshold value. The threshold reflects in the same manner the joint concentrations and the age, and possibly other demographic markers, as associated with periodontitis and may be seen as an upper limit of testing values as seen in a population of subjects without periodontitis. Thereby a testing value at or above the threshold value is indicative for periodontitis in said subject.

Disclosed is an in vitro method for assessing whether a human patient has gingivitis. The method is based on the insight to determine biomarker proteins. Accordingly, in a sample of saliva a patient suffering from gingivitis, the concentrations are measured of the certain protein combinations. One such combination is Alpha-1-acid glycoprotein (A1AGP) and at least one of Matrix metal-loproteinase-8 (MMP8), Matrix metalloproteinase-9 (M MP9), Hepatocyte growth factor (HGF), Hemoglobin subunit beta (Hb-beta), and S100 calcium-binding protein A8 (S100A8). Based on the concentrations as measured, a value is determined reflecting the joint concentrations for said proteins. This value is compared with a threshold value reflecting in the same manner the joint concentrations associated with gingivitis. The comparison allows assessing whether the testing value is indicative of the presence of gingivitis in said patient. Thereby, typically, a testing value reflecting a joint concentration below the joint concentration reflected by the threshold value is indicative for absence of gingivitis in said patient, and a testing value reflecting a joint concentration at or above the joint concentration reflected by the threshold value, is indicative for gingivitis in said patient.

Biomarkers useful for diagnosing and assessing inflammatory disease are provided, along with kits for measuring their expression. The invention also provides predictive models, based on the biomarkers, as well as computer systems, and software embodiments of the models for scoring and optionally classifying samples. The biomarkers include at least two biomarkers selected from the DAIMRK group and the score is a disease activity index (DAI).

The present invention relates to a method for in vitro detection and/or monitoring of a disease in a sample, based on measurement of enzymatic activity of proteases activated and secreted upon disease development, to modified peptides used for the enzymatic detection of the proteases, the use of the peptides, a kit comprising such peptides and the use of ADAM-protease activity as a surrogate marker for disease burden and activity in infectious, inflammatory, and malignant diseases, such as HIV infection and melanoma.

The methods described herein allow for the classification of patients into groups for receiving optimized radiation treatment based on patient specific biomarker signature. The biomarker signature includes markers that have been shown to correlate with TGF-B expression and to be associated with tumor aggressiveness, radioresistance and poor prognosis. The markers play a key role in the epithelial-mesenchymal transition. The methods described herein provide the dual benefits of anti-tumor efficacy plus normal tissue protection when combining TGF-B inhibitors with ionizing radiation to treat cancer patients.

Methods of reducing cytokine levels and methods of treating conditions with antibodies that bind colony stimulating factor 1 receptor (CSF1R) are provided. Such methods include, but are not limited to, methods of treating inflammatory conditions, such as rheumatoid arthritis.

The present invention relates to methods and compositions for monitoring, diagnosis, prognosis, and determination of treatment regimens in subjects suffering from or suspected of having a renal injury. In particular, the invention relates to using a one or more assays configured to detect a kidney injury marker selected from the group consisting of Thymic stromal lymphopoietin, Vascular endothelial growth factor receptor 1, C-C motif chemokine 1, C-C motif chemokine 17, C-C motif chemokine 21, C-C motif chemokine 27, FLT-3 Ligand, Immunoglobulin G subclass 3, Interleukin-1 receptor type I, Interleukin-20, Interleukin-29, Interleukin-7, Platelet-derived growth factor A/B dimer, Platelet-derived growth factor A/A dimer, and MMP9:TIMP2 complex as diagnostic and prognostic biomarkers in renal injuries.

A biosensor for detecting a biomarker in a bodily fluid, secretion or exudation is described that includes a first electrode, a second electrode, an electrode coating and a mechanical electrode stabilizer. The biomarker is an enzyme catalyzing a chemical reaction in which a singularity or plurality of constituents of the electrode coating are chemically altered by the breaking of covalent chemical bonds when being in contact with the same. The electrode coating can be a natural or synthetic substrate of the biomarker. The first electrode and the second electrode are electrically conductive and are kept in a substantially constant and uniform distance from each other by means of the mechanical electrode stabilizer. The exposed electrically conductive surface of at least one of the first electrode and the second electrode are substantially fully covered by the electrode coating.

Methods of assessing, monitoring and/or predicting clinical disease activity, treatment response, disease progression, and/or active repair for chronic inflammatory disease such as axial spondyloarthritis are provided based on the level and/or pattern of LCN2, LCN2-MMP9 and/or OSM.

A method for determining whether a Systemic lupus erythematosus (SLE) patient is undergoing a pre-flare event, the method comprising obtaining a blood, serum, plasma, or saliva sample from the SLE patient; assessing a level of expression for each of a plurality of biomarkers, the plurality of biomarkers comprising OPN, MCP-1/CCL2, MCP-3/CCL7, IL-17A, TNFRII, TNFRI, IL-4, IL-5, BLyS, TNF, and IL-7; determining a Lupus Flare Risk Prediction Index (LFPI) for the patient based upon the level of expression for each of a plurality of biomarkers; and based upon the LFPI, determining whether the patient is undergoing a pre-flare event.