Literature DB >> 23942061

Imaging and cognitive reserve studies predict dementia in presymptomatic Alzheimer's disease subjects.

Camilla Ferrari1, Benedetta Nacmias, Silvia Bagnoli, Irene Piaceri, Gemma Lombardi, Silvia Pradella, Andrea Tedde, Sandro Sorbi.   

Abstract

There is strong evidence that Alzheimer's disease (AD) pathology starts decades before clinical onset. Cognitive reserve (CR) and brain reserve can be a good predictive model for AD development. Neuroimaging can help in describing cerebral reserves, as well as in detecting AD brain pathology before the onset of clinical dementia. Education and occupation act as proxies for CR and are associated with a lower risk of AD and delayed onset of symptoms. The apolipoprotein E (ApoE)-ε4 allele is a strong risk factor for AD and is associated with lower hippocampal volume even in normal aging. A fluorodeoxyglucose positron emission tomography study of brain metabolism shows different metabolic phenotypes among subjects with different educational levels and ApoE genotypes. More highly educated subjects reach a clinical level when the cerebral areas involved in coping with network disruption are seriously impaired, and the AD-ε4 carriers show more global metabolic brain impairment compared with non-ε4 carriers. Thus, CR can counteract a genetically unfavorable background, suggesting a possible preventive strategy. AD research findings have already produced results, since recent epidemiological studies report a decreasing incidence of AD in the last years.

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Year:  2013        PMID: 23942061     DOI: 10.1159/000353690

Source DB:  PubMed          Journal:  Neurodegener Dis        ISSN: 1660-2854            Impact factor:   2.977


  7 in total

Review 1.  Paths to Alzheimer's disease prevention: from modifiable risk factors to biomarker enrichment strategies.

Authors:  S Lista; B Dubois; H Hampel
Journal:  J Nutr Health Aging       Date:  2015-02       Impact factor: 4.075

Review 2.  Interactions between inflammation, sex steroids, and Alzheimer's disease risk factors.

Authors:  Mariana F Uchoa; V Alexandra Moser; Christian J Pike
Journal:  Front Neuroendocrinol       Date:  2016-09-17       Impact factor: 8.606

Review 3.  Obesity and sex interact in the regulation of Alzheimer's disease.

Authors:  V Alexandra Moser; Christian J Pike
Journal:  Neurosci Biobehav Rev       Date:  2015-12-18       Impact factor: 8.989

Review 4.  EFAD transgenic mice as a human APOE relevant preclinical model of Alzheimer's disease.

Authors:  Leon M Tai; Deebika Balu; Evangelina Avila-Munoz; Laila Abdullah; Riya Thomas; Nicole Collins; Ana Carolina Valencia-Olvera; Mary Jo LaDu
Journal:  J Lipid Res       Date:  2017-04-07       Impact factor: 5.922

5.  Relationship between Brain Age-Related Reduction in Gray Matter and Educational Attainment.

Authors:  Patricia Rzezak; Paula Squarzoni; Fabio L Duran; Tania de Toledo Ferraz Alves; Jaqueline Tamashiro-Duran; Cassio M Bottino; Salma Ribeiz; Paulo A Lotufo; Paulo R Menezes; Marcia Scazufca; Geraldo F Busatto
Journal:  PLoS One       Date:  2015-10-16       Impact factor: 3.240

Review 6.  Lifestyle Modulators of Neuroplasticity: How Physical Activity, Mental Engagement, and Diet Promote Cognitive Health during Aging.

Authors:  Cristy Phillips
Journal:  Neural Plast       Date:  2017-06-12       Impact factor: 3.599

Review 7.  Molecular and cellular pathways contributing to brain aging.

Authors:  Aliabbas Zia; Ali Mohammad Pourbagher-Shahri; Tahereh Farkhondeh; Saeed Samarghandian
Journal:  Behav Brain Funct       Date:  2021-06-12       Impact factor: 3.759

  7 in total

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