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The importance of longitudinal cohort studies in understanding risk and protective factors for dementia

Published online by Cambridge University Press:  27 February 2014

John T. O’Brien*
Affiliation:
Deputy Editor, International Psychogeriatrics Department of Psychiatry, Level E4, Box 189 Cambridge Biomedical Campus, Cambridge CB2 0SP, UK Email: [email protected]

Extract

As readers of this journal will be well aware, the last decade has witnessed a transformation in our understanding of the pathophysiology of dementias, perhaps most especially Alzheimer's disease (AD), as well as a much greater understanding of the undoubtedly complex and multifactorial etiology of the AD process. An increasing number of genetic risk and protective factors have been identified, as well as potentially modifiable risk factors, including vascular factors such as hypertension and exercise, education, lifestyle, and nutrition. In parallel, there has been considerable progress in developing and validating biomarkers for AD and other dementias. These have transformed the landscape for research, allowing in vivo patient stratification according to pathology, and now have fed through to inform our clinical diagnostic criteria. Particular examples include imaging biomarkers such as characteristic atrophy patterns on magnetic resonance imaging (MRI), hypoperfusion/hypometabolism on functional brain imaging, increased cortical amyloid uptake on positron emission tomography (PET), as well as CSF alterations in tau and β-amyloid. Several changes in blood have also been shown, including altered inflammatory markers, which may prove to be important biomarkers in the future.

Type
COMMENTARY PAPER OF THE MONTH
Copyright
Copyright © International Psychogeriatric Association 2014 

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References

Ellis, K. A. et al. (2009). The Australian Imaging Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1,112 individuals recruited for a longitudinal study of Alzheimer's disease. International Psychogeriatrics, 21, 672687.Google Scholar
Ellis, K. A. et al. (2014). Rates of diagnostic transition and cognitive change at 18-month follow-up among 1,112 participants in the Australian Imaging, Biomarkers and Lifestyle Flagship Study of Aging (AIBL). International Psychogeriatrics, 26, 543554.Google Scholar
Rowe, C. C. et al. (2010). Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging and dementia. Neurobiology of Aging, 31, 12751283.Google Scholar
Sona, A. et al. (2012). Predictors of rapid decline in Alzheimer's disease: results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging. International Psychogeriatrics, 24, 197204.Google Scholar