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- Voevodskaya, O., et al.
(författare)
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Brain myoinositol as a potential marker of amyloid-related pathology: A longitudinal study
- 2019
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Ingår i: Neurology. - : Ovid Technologies (Wolters Kluwer Health). - 0028-3878 .- 1526-632X. ; 92:5
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Tidskriftsartikel (refereegranskat)abstract
- ObjectiveTo investigate the association between longitudinal changes in proton magnetic resonance spectroscopy (MRS) metabolites and amyloid pathology in individuals without dementia, and to explore the relationship between MRS and cognitive decline.MethodsIn this longitudinal multiple time point study (a subset of the Swedish BioFINDER), we included cognitively healthy participants, individuals with subjective cognitive decline, and individuals with mild cognitive impairment. MRS was acquired serially in 294 participants (670 individual spectra) from the posterior cingulate/precuneus. Using mixed-effects models, we assessed the association between MRS and baseline -amyloid (A), and between MRS and the longitudinal Mini-Mental State Examination, accounting for APOE, age, and sex.ResultsWhile baseline MRS metabolites were similar in A positive (A+) and negative (A-) individuals, in the A+ group, the estimated rate of change was +1.9%/y for myo-inositol (mI)/creatine (Cr) and -2.0%/y for N-acetylaspartate (NAA)/mI. In the A- group, mI/Cr and NAA/mI yearly change was -0.05% and +1.2%; however, this was not significant across time points. The mild cognitive impairment A+ group showed the steepest MRS changes, with an estimated rate of +2.93%/y (p = 0.07) for mI/Cr and -3.55%/y (p < 0.01) for NAA/mI. Furthermore, in the entire cohort, we found that A+ individuals with low baseline NAA/mI had a significantly higher rate of cognitive decline than A+ individuals with high baseline NAA/mI.ConclusionWe demonstrate that the longitudinal change in mI/Cr and NAA/mI is associated with underlying amyloid pathology. MRS may be a useful noninvasive marker of A-related processes over time. In addition, we show that in A+ individuals, baseline NAA/mI may predict the rate of future cognitive decline.
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