Disclosed is an in vitro method for assessing whether a human patient suffering from periodontitis has mild periodontitis or advanced periodontitis. The method is based on the insight to determine a selection of three biomarker proteins. Accordingly, in a sample of saliva a patient suffering from periodontitis, the concentrations are measured of the proteins Interleukin-1? (IL-1?), Matrix metalloproteinase-9 (MMP-9) and at least one of the proteins: Interleukin-6 (IL-6), and Matrix metalloproteinase-3 (MMP-3). 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 advanced periodontitis. The comparison allows assessing whether the testing value is indicative of the presence of advanced periodontitis or of mild periodontitis in said patient. Thereby, typically, a testing value reflecting a joint concentration below the joint concentration reflected by the threshold value is indicative for mild periodontitis 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 advanced periodontitis in said patient.

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 provides methods and compositions for identifying leukemic stem cells.

Compositions, kits and methods for assessing the prognosis of idiopathic pulmonary fibrosis in patients are provided. In addition, compositions, kits and methods for diagnosing subtypes of idiopathic pulmonary fibrosis are provided. Also provided are methods for treating idiopathic pulmonary fibrosis.

The present disclosure relates to methods of using biomarkers as early disease and patient outcome predictors. More particularly, the present disclosure encompasses methods of predicting cancer metastasis by detecting and/or quantifying aspartyl (asparaginyl) beta hydroxylase (HAAH) and matrix metalloproteinase 9 (MMP9) in a biological sample.

Described herein is an enzyme detection device for detecting or measuring the presence in a test sample of the activity of an enzyme capable of cleaving a substrate. Also provided are methods for detecting enzyme activity, in particular the presence in a test sample of an enzyme capable of cleaving a substrate, and methods for determining the level or amount of such an enzyme in a test sample.

Methods and kits for diagnosis and staging of shock, and especially non-septic shock are presented in which protease activities and/or volatile compounds are measured from a biological sample to so identify and/or stage shock.

Methods and kits for diagnosing the presence of and prognosing the appearance of tissue remodelling-associated conditions, involving the presence of enzyme complexes in a biological sample, are disclosed. In particular, the method pertains to diagnosing the presence of or prognosing appearance of metastatic cancer by the identification of high molecular weight enzyme complexes comprising MMPs.

The present invention provides methods for using effluent obtained from medical procedures resulting in stomas or percutaneous drains or ports to assess diagnostic biomarkers indicative of disease. Identified biomarkers are used to inform surgical success and/or to assess and monitor efficacy of treatment.

The invention provides biomarkers and combinations of biomarkers useful in diagnosing lung diseases such as non-small cell lung cancer or reactive airway disease. The invention also provides methods of differentiating ng disease, methods of monitoring therapy, and methods of predicting a subject's response to therapeutic intervention based on the extent of expression of the biomarkers and combinations of biomarkers. Kits comprising agents for detecting the biomarkers and combination of biomarkers are also provided.