Factors That Bind Intestinal Toxins

This invention discloses and covers polyphenolic compounds that will bind bacterial toxins, methods for the treatment of such infections, specifically Stx-1 toxins from STEC strains of E. coli.

Bacterial infections not only cause disease by their presence but also upon the release of toxins. The common enteric bacteria, E. coli O157:H7 releases such toxins (Stx-1) upon treatment with antibiotics. These toxins, when released into the lumen of the intestinal tract, will cause cellular damage thus increasing the severity of the infection.

Particles for Imaging Cells

Available for licensing are NIH patent pending contrast particles for use in MRI and flow cytometry to track cells migration in real time. Present cell-tracking studies rely on labeling cells with ultra-small dextran-coated iron particles that are endocytosed. The contrast agent of the present invention uses larger iron oxide particles, approximately 1 µm, situated in a tri-layer structure.

A Mouse Model for Systemic Inflammation in Glucocerebrosidase-Deficient Mice with Minimal Glucosylceramide Storage

Gaucher disease, the most common lysosomal storage disease, is an inherited metabolic disorder in which harmful quantities of the lipid glucocerebroside accumulate in the spleen, liver, lungs, bone marrow and in rare cases in the brain, due to a deficiency of the enzyme glucocerebrosidase (Gba) that catalyses the first step in the biodegradation of glucocerebrosides. Type 1 Gaucher disease is the most common and is distinguished from the other forms of the disease, types 2 and 3, by the lack of neurologic involvement.

A Mouse Model for Type 2 Diabetes

Diabetes affects over 120 million people worldwide (16 million in the US) and is a major health problem with associated health costs estimated at almost $100 billion dollars. Type 2 diabetes affects as many as 10% of the population of the Western World (with 15 million patients in the US alone) and arises from a heterogeneous etiology, with secondary effects from environmental influences. Risk factors for type 2 diabetes include obesity, high blood pressure, high triglycerides and age.

Regulation of RNA Stability

This invention relates to the discovery that tristetraprolin (TTP) can promote the poly(A)RNase (PARN) mediated deadenylation of polyadenylated substrates containing AU-rich elements (AREs). As one aspect of the invention, the inventors have developed a cell free system that may be used for the purposes of assessing the effects of the various system components or their derivatives (i.e. AREs, PARN, or TTP) on the deadenylation process or the effects of various test agents on the deadenylation process.

Human Monoclonal Antibodies That Recognize Influenza A Viruses for Vaccine, Therapeutic, and Diagnostic Development

Human influenza A is one of two influenza virus types that cause seasonal epidemics of disease (known as flu season) almost every winter in the United States. Influenza A viruses are the only influenza viruses known to cause flu pandemics (i.e., global epidemics of flu disease). (Source.)

Hybridomas Producing Antibodies to Neuraminidase for Influenza A (H3N2) Diagnostics, Vaccine, and Therapeutic Development

Influenza A and B viruses can cause seasonal flu epidemics ― commonly known as the “flu season” ― and infect the nose, throat, eyes, and lungs in humans. Typically, flu seasons that are dominated by influenza A (H3N2) virus activity have higher associated hospitalizations and deaths in at-risk groups, such as people ages 65 and older and young children. Influenza A (H3N2) virus can also cause respiratory disease in animals, such as canines and swine.

System for Automated Anatomical Structures Segmentation of Contrast-Enhanced Cardiac Computed Tomography Images

This technology includes a fully automatic 3D image processing system to segment the heart as well as other organs from contrast-enhanced cardiac computed tomography (CCT) images. Our method detects four cardiac chambers including left ventricle, right ventricle, left atrium, right atrium, as well as the ascending aorta and left ventricular myocardium. It also classifies noncardiac tissue structures in the CCT images such as lung, chest wall, spine, descending aorta, and liver.

Methods and Systems for Automatically Determining Magnetic Field Inversion Time of a Tissue Species

This technology includes a computer-implemented method for determining magnetic field inversion time of a tissue species using a T1-mapping image, information about the region of interest, and a tissue classification algorithm. This method includes T1-mapping image comprising a plurality of T1 values within an expected range of T1 values for the tissue of interest. An image mask is created based on predetermined identification information about the tissue of interest. Next, an updated image mask is created based on a largest connected region in the image mask.

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