Literature DB >> 16321457

Prediction of Alzheimer's disease in mild cognitive impairment: a prospective study in Taiwan.

P N Wang1, J F Lirng, K N Lin, F C Chang, H C Liu.   

Abstract

The relationship between apolipoprotein E (ApoE) and clinical manifestations of mild cognitive impairment (MCI) has not been investigated in non-Caucasian populations. This prospective study was conducted in an ethnic Chinese population to evaluate the correlations of ApoE genotype, cognitive performance, medial temporal structure volumes, and clinical outcome in amnestic MCI. Twenty normal elders, 58 MCI, and 20 mild Alzheimer's disease (AD) patients received neuropsychological, MRI, and ApoE genotype assessments at baseline. Patients with MCI had intermediate cognitive performance and hippocampal volumes between those in normal and AD groups. In each diagnostic group, epsilon4 carriers (E4+) consistently had smaller hippocampal volume than non-carriers (E4-) did. Nineteen MCI subjects (32.7%) converted to AD during the 3-year study period. Compared with MCI non-converters and E4- MCI converters, E4+ MCI converters had the smallest hippocampal volume. However, epsilon4 was not a predictor for AD. Both cognitive performance and hippocampal volume were predictive for progression to AD. However, stepwise Cox regression model integrating both neuropsychological and radiological variables showed that global cognitive performance was the only significant predictor for AD. A poor global cognitive score may be more crucial than a small hippocampal volume in the prediction of AD.

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Year:  2006        PMID: 16321457     DOI: 10.1016/j.neurobiolaging.2005.10.002

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  25 in total

Review 1.  Biomarkers for Alzheimer's disease: academic, industry and regulatory perspectives.

Authors:  Harald Hampel; Richard Frank; Karl Broich; Stefan J Teipel; Russell G Katz; John Hardy; Karl Herholz; Arun L W Bokde; Frank Jessen; Yvonne C Hoessler; Wendy R Sanhai; Henrik Zetterberg; Janet Woodcock; Kaj Blennow
Journal:  Nat Rev Drug Discov       Date:  2010-07       Impact factor: 84.694

2.  Longitudinal MRI atrophy biomarkers: relationship to conversion in the ADNI cohort.

Authors:  Shannon L Risacher; Li Shen; John D West; Sungeun Kim; Brenna C McDonald; Laurel A Beckett; Danielle J Harvey; Clifford R Jack; Michael W Weiner; Andrew J Saykin
Journal:  Neurobiol Aging       Date:  2010-08       Impact factor: 4.673

3.  Familial risk for Alzheimer's disease alters fMRI activation patterns.

Authors:  Susan Spear Bassett; David M Yousem; Catherine Cristinzio; Ivana Kusevic; Michael A Yassa; Brian S Caffo; Scott L Zeger
Journal:  Brain       Date:  2006-05       Impact factor: 13.501

Review 4.  Mass spectrometry: A platform for biomarker discovery and validation for Alzheimer's and Parkinson's diseases.

Authors:  Eugene M Cilento; Lorrain Jin; Tessandra Stewart; Min Shi; Lifu Sheng; Jing Zhang
Journal:  J Neurochem       Date:  2019-01-31       Impact factor: 5.372

5.  Effects of apolipoprotein E-epsilon4 and -epsilon2 in amnestic mild cognitive impairment and dementia in Shanghai: SCOBHI-P.

Authors:  Amy R Borenstein; James A Mortimer; Gerard D Schellenberg; Charles DeCarli; Cathleen Copenhaver; Douglas Galasko; David P Salmon; Ronald Petersen
Journal:  Am J Alzheimers Dis Other Demen       Date:  2010-02-08       Impact factor: 2.035

Review 6.  Novel MRI techniques in the assessment of dementia.

Authors:  Stefan J Teipel; Thomas Meindl; Lea Grinberg; Helmut Heinsen; Harald Hampel
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-03       Impact factor: 9.236

7.  Baseline MRI predictors of conversion from MCI to probable AD in the ADNI cohort.

Authors:  Shannon L Risacher; Andrew J Saykin; John D West; Li Shen; Hiram A Firpi; Brenna C McDonald
Journal:  Curr Alzheimer Res       Date:  2009-08       Impact factor: 3.498

8.  Intervention versus Aggressive Medical Therapy for Cognition in Severe Asymptomatic Carotid Stenosis.

Authors:  C-J Lin; F-C Chang; K-H Chou; P-C Tu; Y-H Lee; C-P Lin; P-N Wang; I-H Lee
Journal:  AJNR Am J Neuroradiol       Date:  2016-04-28       Impact factor: 3.825

9.  High-throughput, fully automated volumetry for prediction of MMSE and CDR decline in mild cognitive impairment.

Authors:  Sanja Kovacevic; Michael S Rafii; James B Brewer
Journal:  Alzheimer Dis Assoc Disord       Date:  2009 Apr-Jun       Impact factor: 2.703

Review 10.  Alzheimer's disease and other dementing conditions.

Authors:  Gioacchino Tedeschi; Mario Cirillo; Alessandro Tessitore; Sossio Cirillo
Journal:  Neurol Sci       Date:  2008-10       Impact factor: 3.307

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