The Rare Diseases Clinical Research Network is an NIH-funded research network of 20 active consortia or research groups working to advance treatment for diseases that are rare. Use the search tools on this page to find the diseases we currently study. You can reach out to the indicated consortia or research groups for more information on those diseases and studies underway.
This network focuses on clinical research and does not generally support clinical care outside of research activities. To learn about other rare diseases, please visit the Genetic and Rare Diseases Information Center (GARD), which is an NIH program that helps the public find reliable information about rare and genetic diseases. Their staff are specialists. Contact them at 1-888-205-2311 or email GARDinfo@nih.gov.
All Diseases > Citrullinemia II
Alternative Names: Citrullinemia Type II
Disease Category: Urea Cycle Disorders
An inherited, metabolic, urea cycle disorder characterized by hyperammonemia (high blood ammonia levels) due to deficiency or absence of an enzyme needed to convert nitrogen from protein metabolism (break down) into urea (a waste product). Symptoms manifest during adulthood after exposure to certain triggers (medications, infection, surgery) or after experiencing neonatal intrahepatic cholestasis (stoppage of bile flow within the liver) caused by citrin (a protein involved in membrane transport of aspartate and glutamate) deficiency as an infant. Symptoms include confusion, memory loss, restlessness, behavioral problems, seizures, and coma.
Research groups studying this disease
Urea Cycle Disorders
Long-term observation of the impact of UCDs on physical and neurological functioning, the relationship between health indicators and disease severity and the eﬃciency of UCD therapies.
Study of how UCDs aﬀect thinking, body chemistry and brain structure using magnetic resonance imaging (MRI) and behavioral testing.
The purpose of this research study is to test a new method to measure food intake using smart phone photos of your food before and after meals. We will compare the smart phone food photos to a 3-day diet record and we will measure how many calories you burn.