The present invention concerns materials and methods for characterizing monoclonal immunoglobulin specificity of a Monoclonal Gammopathy of Undetermined Significance (MGUS) or Myeloma patients using a protein microarray comprising (a) a substrate, (b) antigens immobilized on the substrate, said antigens being selected from a defined group consisting of infectious agent antigens and/or self-antigens. In particular said protein microarray may be used to improve diagnosis, for the prognosis of myeloma or MGUS, for preventing transformation of MGUS toward myeloma, for adapting treatment of MGUS and myeloma or for monitoring the response to therapy of MGUS and myeloma patients.

Devices and methods for the detection of antigens are disclosed. Devices and methods for detecting food-borne pathogens are disclosed.

An objective of the present invention is to provide the cytolethal distending toxin (CDT) of C. hyointestinalis and polynucleotides encoding it, and novel methods for detection of C. hyointestinalis using the cdt genes. The present inventors focused on the cytolethal distending toxin (CDT) of Campylobacter bacteria, and detected the cdt genes of a Campylobacter-like bacterium isolated from an enteritis patient in Thailand. The present inventors discovered a bacterial strain whose cdtB gene was amplified by common primers in C. jejuni, C. coli, and C. fetus, but not by multiplex PCR that can specifically detect the cdtA, cdtB, and cdtC genes of the three bacterial species. The bacterial strain was identified as C. hyointestinalis by 16S rRNA gene analysis. Furthermore, the entire nucleotide sequence of the cdt genes was determined by genome walking upstream and downstream of the cdtB gene.

Devices and methods for the detection of antigens are disclosed. Devices and methods for detecting food-borne pathogens are disclosed.

An HP spherical deformation diagnosis model and a construction method thereof are provided. The HP spherical deformation diagnosis model is used for identifying whether HP spherical deformation exists in an IHC dyeing image of an HP positive gastric mucosal sample, and includes: an image processing module and an identification module; the image processing module comprises a contrast enhancement module, an image filtering module, and an HP dyeing extraction module; the contrast enhancement module comprises: an HIS color model transformation module, which is used for transforming an original image from an RGB color model to an HIS color model in which hue, saturation, and intensity are separated; and a piecewise linear transformation module, which is used for enhancing a grayscale region of interest in the image by using a piecewise linear transformation method for a brightness component in the HIS color module, so as to improve the image.

Provided are a method and a reagent for measuring an antibody against Helicobacter suis using an outer membrane fraction of H. suis. A reagent for detecting an antibody that binds to a H. suis outer membrane fraction, or a protein contained in the outer membrane fraction, of a specimen derived from a subject, the reagent comprising at least the H. suis outer membrane fraction, or the protein contained in the outer membrane fraction, and an anti-Ig antibody.

There is provided a method of detecting an analyte in a sample. The method is based on colorimetry and also on the binding affinity between the analyte and a chemical substrate which may be a recognition receptor thereof. The method involves a support and a colored carrier. A kit for use in the detection is also provided.

Specific DNA sequences for binding various foodborne and waterborne pathogens and biotoxins are described. Each of these sequences can function in varying assay and sensor formats with varying degrees of success.

An HP spherical deformation diagnosis model and a construction method thereof are provided. The HP spherical deformation diagnosis model is used for identifying whether HP spherical deformation exists in an IHC dyeing image of an HP positive gastric mucosal sample, and includes: an image processing module and an identification module; the image processing module comprises a contrast enhancement module, an image filtering module, and an HP dyeing extraction module; the contrast enhancement module comprises: an HIS color model transformation module, which is used for transforming an original image from an RGB color model to an HIS color model in which hue, saturation, and intensity are separated; and a piecewise linear transformation module, which is used for enhancing a grayscale region of interest in the image by using a piecewise linear transformation method for a brightness component in the HIS color module, so as to improve the image.

There is provided novel peptides for use in diagnosis of CagA+ H. pylori infection or the prediction of risk for gastric cancer. The peptides bind antibodies from CagA+ H pylori patients with high specificity and sensitivity, and can be used for example in a diagnostic kit.