The invention relates to methods and kits for diagnosing and/or treating appendicitis in a subject, comprising obtaining a biological sample rom said subject; detecting RNA expression levels of at least three or more biomarkers in the biological sample and comparing the expression levels of said at least three or more biomarkers to a control sample wherein an increase or decrease in the level of expression of said at least three or more biomarkers as compared to the control sample is indicative of appendicitis.

Disclosed are compositions and methods to detect proteins associated with non-coeliac gluten sensitivity (NCGS). Such markers may be useful to allow individuals susceptible to NCGS to manage their food intake to avoid symptoms and further progression of disease.

The present invention relates generally to a method of determining one or more probabilities of respective classifications of a neoplasm into one or more neoplastic categories. More particularly, the present invention relates to a method of determining the probability of classification of a large intestine neoplasm into one or more categories selected from adenoma, stage I, stage II, stage III or stage IV by screening for changes to the methylation levels of a panel of gene markers, including BCAT1, IKZF1, IRF4, GRASP and/or CAHM. The method of the present invention is useful in a range of applications including, but not limited to, those relating to the diagnosis and/or monitoring of colorectal neoplasms, such as colorectal adenocarcinosis.

Disclosed are compositions and methods to detect proteins associated with non-coeliac gluten sensitivity (NCGS). Such markers may be useful to allow individuals susceptible to NCGS to manage their food intake to avoid symptoms and further progression of disease.

The present invention relates generally to a method of determining one or more probabilities of respective classifications of a neoplasm into one or more neoplastic categories. More particularly, the present invention relates to a method of determining the probability of classification of a large intestine neoplasm into one or more categories selected from adenoma, stage I, stage II, stage III or stage IV by screening for changes to the methylation levels of a panel of gene markers, including BCAT1, IKZF1, IRF4, GRASP and/or CAHM. The method of the present invention is useful in a range of applications including, but not limited to, those relating to the diagnosis and/or monitoring of colorectal neoplasms, such as colorectal adenocarcinosis.

Biomarkers predictive of responsiveness to integrin beta7 antagonists, including anti-beta7 integrin subunit antibodies, and methods of using such biomarkers are provided. In addition, methods of treating gastrointestinal inflammatory disorders such as inflammatory bowel diseases including ulcerative colitis and Crohn's disease are provided. Also provided are methods of using such predictive biomarkers for the treatment of inflammatory bowel diseases including ulcerative colitis and Crohn's disease.

A method of isotope-labelling a microbiota sample. It involves providing a first microbiota sample that was obtained from a given source; exposing the first microbiota sample to an isotope enriched medium; and culturing the exposed first microbiota sample in the isotope enriched medium to obtain an isotope-labelled microbiota sample, wherein the isotope labelled metaproteome of the isotope-labelled microbiota sample is taxon specific for taxa present in the first microbiota sample when initially obtained from the given source.

The invention relates to methods and kits for diagnosing and/or treating appendicitis in a subject, comprising obtaining a biological sample from said subject; detecting RNA expression levels of at least three or more biomarkers in the biological sample and comparing the expression levels of said at least three or more biomarkers to a control sample wherein an increase or decrease in the level of expression of said at least three or more biomarkers as compared to the control sample is indicative of appendicitis.

A detection system (101, 101b) of enteric diseases in animals includes a sensor device (102) having suction (103) for suctioning air from the animals' environment (11, 12). A sensor is (104) configured to determine information about the type and concentration of smelling molecules in the air and further configured to emit a signal representative of the information of smelling molecules. A transmission device (105) is configured to convey the signal representative of smelling molecules. A self-learning processing device (108) is configured to receive and process the signal representative of smelling molecules, and to detect a risk of enteric diseases in the animals associated with the information about the type and concentration of the smelling molecules. A signaling device (111) is configured to report to a user (10) the risk of enteric diseases in the animals, before the enteric diseases arise. A relative method detects enteric diseases in animals.

The present invention provides methods and systems to accurately detect and measure levels of endogenous antibodies, for examples endogenous IgA, to particular antigens in a biological sample from a companion animal, which is useful to diagnose inflammatory conditions, including bowel disease (IBD), gastrointestinal infections, and food sensitivities in companion animals, e.g., dogs or cats, and to distinguish among such gastrointestinal disorders. Such methods and systems identify whether a sample from the patient is associated with an inflammatory condition, infection, and/or food sensitivity condition, by using non-invasive means, thus conveniently providing information useful for guiding treatment decisions.