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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.

This technology includes a small molecule drug (VDAC inhibitor, also known as VBIT4) that may be useful for inhibiting lupus disease. To test lupus animal model, VBIT4 was continuously administered for 5 weeks to mice and there was no mortality or clinical symptoms in these animals. Additionally, VBIT4 treatment blocked the development of skin lesions and alopecia of the ears and face, and suppressed the thickening of the epidermis that accompanies leukocyte infiltration.

Interleukin (IL)-34 is a homodimer that is produced mainly by keratinocytes, neuronal cells and regulatory T cells (Tregs). It is believed to play important roles in chronic inflammation and the homeostasis of microglia. Currently, there is no effective treatment for many types of retinal degeneration. An improved treatment of autoimmune uveitis is also needed, as current uveitis treatment primarily uses steroidal anti-inflammation medication, which may produce significant unwanted side effects in long-term use.

Summary:

The National Institute on Aging (NIA) seeks research co-development partners and/or licensees for the pre-clinical and clinical development of the compounds as anti-inflammatory therapeutics for systemic degenerative and neurodegenerative disorders.

Description of Technology:

Triple negative (progesterone receptor (PR)-, estrogen receptor (ER)-, human epidermal growth receptor 2 (HER2)-) breast cancer (TNBC) is an aggressive subtype that affects 15-20% of the 1.7 million cases of breast cancer occurring annually.  Currently, standard treatments of TNBC include cytotoxic chemotherapies, surgery, and radiation. However, TNBC readily becomes resistant to chemotherapy, and those with TNBC are more likely to have a recurrence or die within five years compared to those with other breast cancer types.

Diverse human cancers like colorectal, pancreatic, ovarian, melanoma, and pre-cancers express NADPH oxidases (NOX) at high levels. Reactive oxygen species (ROS) produced from metabolic reactions catalyzed by NOX in tumors are essential to the tumor’s growth. Though drugs that inhibit ROS production by NOX could be effective against a variety of human cancers, these types of drugs are not widely available.

Researchers at the National Cancer Institute (NCI) have developed orthotopic allograft models for pancreatic cancer that utilize low passage primary pancreatic adenocarcinoma cells or tumor fragments implanted into the cancer-free pancreata of recipient syngeneic immunocompetent mice. Tumor development in these models is more synchronized, latency is substantially shortened, and tumors develop only in one location, as pre-determined by the choice of a site for cells/tumor fragment implantation.

This technology includes an alpha-galactosidase-A knockout mouse model that can be used to study Fabry disease, an X-linked lysosomal storage disorder. Alpha-galactosidase-A is a crucial enzyme responsible for the breakdown of glycolipids, particularly globotriaosylceramide (Gb3), within lysosomes. In Fabry disease, a rare and inherited lysosomal storage disorder, mutations in the GLA gene lead to deficient or non-functional alpha-galactosidase-A enzyme activity.

This technology includes a novel method to train deep learning convolution neural network model to improve the signal-noise-ratio for the magnetic resonance (MR) imaging. The novelty lies on the fact that actual MR imaging physics information is used in the deep learning training. The resulting model achieves significant signal-to-noise ratio (SNR) improved for different acceleration factors in MR imaging. The resulting model can be used for many body anatomies (e.g., brain, heart, liver, spine, etc.) to significantly improve the SNR.