"In this work, BBM levels rose up to 95% more quickly in people with obesity than in people without obesity, based on findings presented at the annual meeting of the Radiological Society of North America (RSNA). "This is the first time we've shown the relationship between obesity and Alzheimer's disease as measured by blood biomarker tests," said Cyrus Raji, M.D., Ph.D., senior author of the study and a principal investigator in the Neuroimaging Labs Research Center at Mallinckrodt Institute of Radiology (MIR)"
"Researchers analyzed plasma samples for several BBMs related to Alzheimer's disease, including pTau217 levels (a biomarker used in the diagnosis and monitoring of Alzheimer's disease), neurofilament light chain (NfL) -- a protein fragment released from damaged or dying neurons -- and plasma GFAP -- a protein expressed primarily in astrocytes (cells that support and protect neurons in the brain and spinal cord) using six leading commercial tests."
"Long-Term Brain Imaging and Blood Data To explore this connection, the team drew on five years of data from 407 volunteers enrolled in the Alzheimer's Disease Neuroimaging Initiative, which provided both amyloid positron emission tomography (PET) scans and blood samples. PET scans are used to show the brain's amyloid burden, meaning the buildup of beta-amyloid protein in the brain as amyloid plaques, a key feature of Alzheimer's disease."
Obesity markedly accelerates increases in Alzheimer’s-related blood biomarkers, with BBM levels rising up to 95% faster in people with obesity than in those without. Five years of data from 407 volunteers in the Alzheimer's Disease Neuroimaging Initiative included amyloid PET scans and blood samples. Plasma assays measured pTau217, neurofilament light chain (NfL), and plasma GFAP across six commercial tests. Statistical analyses examined relationships between BMI, baseline obesity, time, and BBM trajectories, and compared blood biomarker changes with amyloid PET findings. Blood tests detected Alzheimer’s-related shifts earlier than PET imaging, indicating earlier detection potential.
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