Fourier Transform Infrared Imaging Shows Reduced Unsaturated Lipid Content in the Hippocampus of a Mouse Model of Alzheimer’s Disease
Polyunsaturated fatty acids are essential to brain functions such as membrane fluidity, signal transduction, and cell survival. It is also thought that low levels of unsaturated lipid in the brain may contribute to Alzheimer’s disease (AD) risk or severity. However, it is not known how accumulation...
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Published in | Analytical chemistry (Washington) Vol. 82; no. 7; pp. 2711 - 2716 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
01.04.2010
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Online Access | Get full text |
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Summary: | Polyunsaturated fatty acids are essential to brain functions such as membrane fluidity, signal transduction, and cell survival. It is also thought that low levels of unsaturated lipid in the brain may contribute to Alzheimer’s disease (AD) risk or severity. However, it is not known how accumulation of unsaturated lipids is affected in different regions of the hippocampus, which is a central target of AD plaque pathology, during aging. In this study, we used Fourier Transform Infrared Imaging (FTIRI) to visualize the unsaturated lipid content in specific regions of the hippocampus in the PSAPP mouse model of AD as a function of plaque formation. Specifically, the unsaturated lipid content was imaged using the olefinic =CH stretching mode at 3012 cm
−1
. The axonal, dendritic, and somatic layers of the hippocampus were examined in the mice at 13 weeks, 24 weeks, 40 weeks and 56 weeks old. Results showed that lipid unsaturation in the axonal layer is significantly increased with normal aging in control (CNT) mice (p < 0.01), but remained low and relatively constant in PSAPP mice. Thus, these findings indicate that unsaturated lipid content is reduced in hippocampal white matter during amyloid pathogenesis and that maintaining unsaturated lipid content early in the disease may be critical in avoiding progression of the disease. |
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Bibliography: | Present address: BfR - Federal Institute for Risk Assessment, Thielallee 88–92, 14195 Berlin, Germany |
ISSN: | 0003-2700 1520-6882 |
DOI: | 10.1021/ac1002728 |