Citations

A recently identified variant within the fat mass and obesity-associated ( FTO ) gene is carried by 46% of Western Europeans and is associated with an ~1.2 kg higher weight, on average, in adults and an ~1 cm greater waist circumference. With >1 billion overweight and 300 million obese persons worldwide, it is crucial to understand the implications of carrying this very common allele for the health of our aging population. FTO is highly expressed in the brain and elevated body mass index (BMI) is associated with brain atrophy, but it is unknown how the obesity-associated risk allele affects human brain structure. We therefore generated 3D maps of regional brain volume differences in 206 healthy elderly subjects scanned with MRI and genotyped as part of the Alzheimer's Disease Neuroimaging Initiative. We found a pattern of systematic brain volume deficits in carriers of the obesity-associated risk allele versus noncarriers. Relative to structure volumes in the mean template, FTO risk allele carriers versus noncarriers had an average brain volume difference of ~8% in the frontal lobes and 12% in the occipital lobes—these regions also showed significant volume deficits in subjects with higher BMI. These brain differences were not attributable to differences in cholesterol levels, hypertension, or the volume of white matter hyperintensities; which were not detectably higher in FTO risk allele carriers versus noncarriers. These brain maps reveal that a commonly carried susceptibility allele for obesity is associated with structural brain atrophy, with implications for the health of the elderly.

BackgroundWe evaluated the amounts of amyloid beta (Aβ)) peptides in the central nervous system (CNS) and in reservoirs outside the CNS and their potential impact on Aβ plasma levels and Alzheimer's disease (AD) pathology.MethodsAmyloid β levels were measured in (1) the plasma of AD and nondemented (ND) controls in a longitudinal study, (2) the plasma of a cohort of AD patients receiving a cholinesterase inhibitor, and (3) the skeletal muscle, liver, aorta, platelets, leptomeningeal arteries, and in gray and white matter of AD and ND control subjects.ResultsPlasma Aβ levels fluctuated over time and among individuals, suggesting continuous contributions from brain and peripheral tissues and associations with reactive circulating proteins. Arteries with atherosclerosis had larger amounts of Aβ40 than disease‐free vessels. Inactivated platelets contained more Aβ peptides than activated ones. Substantially more Aβ was present in liver samples from ND patients. Overall, AD brain and skeletal muscle contained increased levels of Aβ.ConclusionsEfforts to use plasma levels of Aβ peptides as AD biomarkers or disease‐staging scales have failed. Peripheral tissues might contribute to both the circulating amyloid pool and AD pathology within the brain and its vasculature. The wide spread of plasma Aβ values is also due in part to the ability of Aβ to bind to a variety of plasma and membrane proteins. Sources outside the CNS must be accounted for because pharmacologic interventions to reduce cerebral amyloid are assessed by monitoring Aβ plasma levels. Furthermore, the long‐range impact of Aβ immunotherapy on peripheral Aβ sources should also be considered.

BackgroundBiomarkers that have been developed largely for the study of patients with clinically diagnosed Alzheimer's disease (AD) can also be used in the study of cognitively normal individuals who may harbor underlying AD pathology.MethodsA meeting of invited experts on AD biomarkers was held on November 11 and 12, 2004 to review currently available data and to discuss unmet needs for biomarker research in presymptomatic AD.ResultsNeuroimaging biomarkers have been studied to some extent in subjects at risk for AD. These imaging techniques include volumetric magnetic resonance imaging and positron emission tomography using either fluorodeoxyglucose or newer ligands that bind directly to amyloid plaque. Similarly, biochemical measures from cerebrospinal fluid or other physiologic fluids are emerging as potentially useful tools. Such biomarkers may be used either as diagnostic tools or as indicators of disease severity when followed longitudinally. A clinical diagnosis of asymptomatic individuals using biomarkers and studies involving asymptomatic subjects may raise logistical and ethical concerns.ConclusionsThe technical development of biomarkers that are used for presymptomatic AD diagnosis and for longitudinally measuring disease severity is evolving rapidly. Ethical and privacy considerations must be made before such biomarkers can be applied routinely to asymptomatic populations.