Prime

Type your tag names separated by a space and hit enter

Classification and prediction of clinical diagnosis of Alzheimer's disease based on MRI and plasma measures of α-/γ-tocotrienols and γ-tocopherol.

Abstract

BACKGROUND

The aim of this study was to evaluate the accuracy of combined structural magnetic resonance imaging (MRI) measures and plasma levels of vitamin E forms, including all eight natural vitamin E congeners (four tocopherols and four tocotrienols) and markers of vitamin E oxidative/nitrosative damage, in differentiating individuals with Alzheimer's disease (AD) and mild cognitive impairment (MCI) from cognitively intact control (CTL) subjects.

METHODS

Overall, 81 patients with AD, 86 with MCI and 86 CTL individuals were enrolled from the longitudinal multicentre AddNeuroMed study. MRI and plasma vitamin E data were acquired at baseline. MRI scans were analysed using Freesurfer, an automated segmentation scheme which generates regional volume and cortical thickness measures. Orthogonal partial least squares to latent structures (OPLS), a multivariate data analysis technique, was used to analyse MRI and vitamin E measures in relation to AD and MCI diagnosis.

RESULTS

The joint evaluation of MRI and plasma vitamin E measures enhanced the accuracy of differentiating individuals with AD and MCI from CTL subjects: 98.2% (sensitivity 98.8%, specificity 97.7%) for AD versus CTL, and 90.7% (sensitivity 91.8%, specificity 89.5%) for MCI versus CTL. This combination of measures also identified 85% of individuals with MCI who converted to clinical AD at follow-up after 1 year.

CONCLUSIONS

Plasma levels of tocopherols and tocotrienols together with automated MRI measures can help to differentiate AD and MCI patients from CTL subjects, and to prospectively predict MCI conversion into AD. Our results suggest the potential role of nutritional biomarkers detected in plasma-tocopherols and tocotrienols-as indirect indicators of AD pathology, and the utility of a multimodality approach.

Links

  • Publisher Full Text
  • Authors

    , , , , , , , , , , , , , , , , , ,

    Source

    Journal of internal medicine 273:6 2013 Jun pg 602-21

    MeSH

    Aged
    Alzheimer Disease
    Biological Markers
    Chromans
    Chromatography, High Pressure Liquid
    Diagnosis, Differential
    Disease Progression
    Female
    Humans
    Magnetic Resonance Imaging
    Male
    Prognosis
    Reproducibility of Results
    Severity of Illness Index
    Vitamin E
    gamma-Tocopherol

    Pub Type(s)

    Journal Article
    Multicenter Study
    Research Support, Non-U.S. Gov't

    Language

    eng

    PubMed ID

    23343471

    Citation

    TY - JOUR T1 - Classification and prediction of clinical diagnosis of Alzheimer's disease based on MRI and plasma measures of α-/γ-tocotrienols and γ-tocopherol. AU - Mangialasche,F, AU - Westman,E, AU - Kivipelto,M, AU - Muehlboeck,J-S, AU - Cecchetti,R, AU - Baglioni,M, AU - Tarducci,R, AU - Gobbi,G, AU - Floridi,P, AU - Soininen,H, AU - Kłoszewska,I, AU - Tsolaki,M, AU - Vellas,B, AU - Spenger,C, AU - Lovestone,S, AU - Wahlund,L-O, AU - Simmons,A, AU - Mecocci,P, AU - ,, Y1 - 2013/02/28/ PY - 2013/2/28/aheadofprint PY - 2013/1/25/entrez PY - 2013/1/25/pubmed PY - 2013/7/13/medline SP - 602 EP - 21 JF - Journal of internal medicine JO - J. Intern. Med. VL - 273 IS - 6 N2 - BACKGROUND: The aim of this study was to evaluate the accuracy of combined structural magnetic resonance imaging (MRI) measures and plasma levels of vitamin E forms, including all eight natural vitamin E congeners (four tocopherols and four tocotrienols) and markers of vitamin E oxidative/nitrosative damage, in differentiating individuals with Alzheimer's disease (AD) and mild cognitive impairment (MCI) from cognitively intact control (CTL) subjects. METHODS: Overall, 81 patients with AD, 86 with MCI and 86 CTL individuals were enrolled from the longitudinal multicentre AddNeuroMed study. MRI and plasma vitamin E data were acquired at baseline. MRI scans were analysed using Freesurfer, an automated segmentation scheme which generates regional volume and cortical thickness measures. Orthogonal partial least squares to latent structures (OPLS), a multivariate data analysis technique, was used to analyse MRI and vitamin E measures in relation to AD and MCI diagnosis. RESULTS: The joint evaluation of MRI and plasma vitamin E measures enhanced the accuracy of differentiating individuals with AD and MCI from CTL subjects: 98.2% (sensitivity 98.8%, specificity 97.7%) for AD versus CTL, and 90.7% (sensitivity 91.8%, specificity 89.5%) for MCI versus CTL. This combination of measures also identified 85% of individuals with MCI who converted to clinical AD at follow-up after 1 year. CONCLUSIONS: Plasma levels of tocopherols and tocotrienols together with automated MRI measures can help to differentiate AD and MCI patients from CTL subjects, and to prospectively predict MCI conversion into AD. Our results suggest the potential role of nutritional biomarkers detected in plasma-tocopherols and tocotrienols-as indirect indicators of AD pathology, and the utility of a multimodality approach. SN - 1365-2796 UR - https://www.unboundmedicine.com/medline/citation/23343471/full_citation L2 - http://onlinelibrary.wiley.com/resolve/openurl?genre=article&sid=nlm:pubmed&issn=0954-6820&date=2013&volume=273&issue=6&spage=602 ER -