Human cancers contain genetic mutations that are unique to each patient. Some of the mutated peptides are immunogenic, can be recognized by T cells, and therefore, may serve as therapeutic targets.
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.
The National Institute on Drug Abuse (NIDA) is seeking interested parties to license or co-develop GDNFOS peptides and non-coding RNAs as therapeutic agents for neurodegenerative diseases.
An abstract for this invention was published in the Federal Register on June 10, 2022. The family of coronaviruses cause upper respiratory tract disease in humans and have caused three major disease outbreaks in recent history: the 2003 SARS outbreak, the 2012 MERS outbreak, and the current SARS-CoV-2 pandemic. There is an urgent need for strategies that broadly target coronaviruses, both to deal with new SARS-CoV-2 variants and future coronavirus outbreaks.
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.
Current therapies for glioblastoma multiforme (GBM), the highest grade malignant brain tumor, are mostly ineffective, and better preclinical model systems are needed to increase the successful translation of drug discovery efforts into the clinic. Scientists at the National Cancer Institute (NCI) have developed and characterized an orthotopic genetically engineered mouse (GEM)-derived model of GBM that closely recapitulates various human GBM subtypes and is useful for preclinical evaluation of candidate therapeutics.
249 million people were afflicted with malaria in 2022. There are five Plasmodium parasite species that cause malaria in humans. Of the five, Plasmodium falciparum causes most of the incidence of human disease. Most advanced malaria vaccine candidates can confer only partial, short-term protection in malaria-endemic areas. The pathogenesis of malaria is associated with blood-stage infection and antibodies specific to the parasite blood-stage antigens may be able to control parasitemia.
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.