Dataset Information

Benchtop NMR Spectroscopy for Assessment of Clinical Human Pathologies (BRANCH-P STUDY)

ABSTRACT: This research programme seeks to combine the resources of NHS primary care, with the leading spectroscopic work in low-magnetic fields of the Wilson Group (Nottingham Trent University) to demonstrate the potential for benchtop Nuclear Magnetic Resonance (NMR) spectroscopy in human clinical pathology. This is an instrument assessment study for point of care viability which will also result in enhanced patient care (pending their consent) in blood screenings and metabolic health data.

DISEASE(S): Kidney Diseases,Cardiovascular Diseases,Dyspepsia,Gout,Liver Diseases, Alcoholic,Arthritis,Infections,Communicable Diseases,Cellulitis,Flu,Osteoporosis,Chest Infections,Mononucleosis,Heart Diseases,Eczema,Bronchitis,Obesity,High Cholesterol,Renal Insufficiency, Chronic,Appendicitis,Depression,Chronic Kidney Diseases,Hiv Infections,Alzheimer Disease,Allergies,Leukaemia,Bulimia,Cirrhosis,Hypercholesterolemia,Alcoholic Liver Disease,Bowel Disease,Diabetes,Aids And Infections,Liver Diseases,Indigestion,Cancer

PROVIDER: 2742894 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Similar Datasets

Project description:Urea cycle disorders represent a group of rare inborn errors of metabolism that lead to accumulation of ammonia, a toxic product of protein metabolism. Individuals with urea cycle disorders cannot metabolize the ammonia that accumulates due to enzyme deficiency. The symptoms of these disorders may present at birth, childhood or adulthood (milder deficiencies). There are currently eight enzyme deficiencies that constitute the range of inborn errors of ureagenesis. This project will focus on the most common enzyme disorder of the urea cycle, ornithine transcarbamylase deficiency, inherited as an X-linked trait. This project will study cognitive and motor dysfunction in patients who are female carriers of ornithine transcarbamylase deficiency (OTCD) or are males with late onset presentation of OTCD, utilizing state of the art MRI (magnetic resonance imaging), a non -invasive technique. This project seeks to improve our understanding of the underlying neural mechanisms that contribute to metabolic, cognitive, sensory and motor abnormalities in urea cycle disorders, which although individually rare, collectively constitute a major cause of neonatal encephalopathy, leading to significant morbidity and mortality. As a result of this study, a greater understanding of the anatomic, cognitive, motor, and biochemical underpinnings of neurologic damage attributable to this metabolic disorder will be gained. Experimental approaches will combine sensory, cognitive and motor testing with structural, functional and molecular magnetic resonance imaging to study symptomatic and asymptomatic heterozygous female carriers of X-linked ornithine transcarbamylase deficiency (OTCD), and late onset hemizygous males. Participants to be included in the studies will range from ages 18-60 years and will be compared to an age-matched typically developed (TD) comparison group. For our research, we use anatomic MRI, functional Magnetic Resonance Imaging (fMRI), and magnetic resonance spectroscopy (MRS) to monitor brain activity. The technique of fMRI provides detailed maps of the brain areas underlying human mental activities. By using fMRI, we are able to observe how the brain is functioning while a person is performing a specific task, such as reading. We can not only observe differences in the structure of the brain, but can also measure differences in brain function and activity as well. This information will ultimately be used to provide a basis for designing more effective interventions and methods for early identification of learning disabilities in patients with OTCD and related disorders. We will also use MRS to study various brain chemicals such as glutamine using the non-invasive MRI imaging techniques.

Dataset Information

Benchtop NMR Spectroscopy for Assessment of Clinical Human Pathologies (BRANCH-P STUDY)

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure