May 2, 2012
Scientists Reveal Early Diagnostic Clues For AD Using Advanced Brain Imaging Technology
Alzheimer's disease (AD) is a major neurodegenerative disorder that affects millions of people worldwide. New and accurate techniques for early diagnosis are critical. Pravat K. Mandal, PhD, and his colleagues have developed a completely non-invasive brain imaging technique to measure specific brain chemical changes. This provides a signature of the early stages of AD from the hippocampal region of the brain.
"Alzheimer's disease has become a silent tsunami in the aging population," says Dr. Mandal, who is associated with the National Brain Research Center, Gurgaon, India, and Johns Hopkins University School of Medicine. "This discovery of a diagnostic technique that requires no blood work or radiation, and that can be conducted in less than fifteen minutes, may offer hope to Alzheimer's disease patients and their families."
Dr. Mandal and his colleagues also identified four brain chemicals that change significantly in pre-Alzheimer and Alzheimer disease patients compared to normal subjects. They are phosphomonoester (PME), the building block of neuronal membrane; phosphodiester (PDE), the membrane degradation product; phosphocreatine (PCr), stored energy for brain functioning; and adenosine triphosphate (ï§-ATP), the source of brain energy. The level of PME is significantly decreased in the left hippocampal areas of these patients, and the levels of PDE, PCr, and ï§-ATP are increased.
"In the left hippocampus the increase in pH to the alkaline range, along with statistically significant increases in PDE, PCr, and ï§-ATP and decreases in PDE, serve as a promising new biomarker for AD," notes Dr. Mandal. He and his colleagues plan to conduct longitudinal studies with Alzheimer and Parkinson patients with larger sample sizes to investigate specificity of their test. "It is our hope that such clinical research, using state-of-the-art technology, may give new hope to cognitively impaired patients for an earlier and more predictable AD diagnosis."
On the Net: