Cohort – Minho Integrative Database (MIND)-Ageing
|Institution||Institution Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho|
|Street Address||Campus Gualtar|
European consortium project SWITCHBOX, supported by the European Commission.
- Alzheimer’s disease and other dementias
- Neurodegenerative disease in general
- Already possible
Assessment of cognition, brain neuroimmaging and neuroendocrine function as well as risk factors for cardiovascular and kidney disorders; serum, blood cells and urine are being kept for a biobank.
Longitudinal studies. Aims to describe and associate main factors involved in healthy cognitive ageing, including socio-demographic factors such as education and social-inclusion.
Dowling NM, Hermann B, La Rue A, Sager MA. Department of Biostatistics & Medical Informatics, University of Wisconsin School of Medicine and Public Health, USA. Latent structure and factorial invariance of a neuropsychological test battery for the study of preclinical Alzheimer’s disease. Neuropsychology 2010, 24(6):742-56.
Vemuri P, Wiste HJ, Weigand SD, Knopman DS, Trojanowski JQ, Shaw LM, Bernstein MA, Aisen PS, Weiner M, Petersen RC, Jack CR Jr; Alzheimer’s Disease Neuroimaging Initiative. Aging and Dementia Imaging Research Laboratory, Department of Radiology, Mayo Clinic and Foundation, USA. Serial MRI and CSF biomarkers in normal aging, MCI, and AD. Neurology 2010, 75(2):143-51.
Aisen PS, Petersen RC, Donohue MC, Gamst A, Raman R, Thomas RG, Walter S, Trojanowski JQ, Shaw LM, Beckett LA, Jack CR Jr, Jagust W, Toga AW, Saykin AJ, Morris JC, Green RC, Weiner MW; Alzheimer’s Disease Neuroimaging Initiative. Department of Neurosciences, University of California San Diego, USA. Clinical Core of the Alzheimer’s Disease Neuroimaging Initiative: progress and plans. Alzheimers Dement. 2010, 6(3):239-46.
1) Identification of denominators and / or biochemical markers of endocrine, metabolic and genetic factors of healthy aging in humans, along with an analysis of the structure and brain function (cognition);
2) Evaluation of the hypothesis that healthy aging is associated with effective adaptation to metabolic stress;
3) Evaluation of the hypothesis that the lack of insulin signaling in the brain, or its down-stream targets, may be responsible for inadequate endocrine and metabolic characteristics in non-healthy aging in humans;
4) Application of bio-mathematical modeling of integrated measures of homeostasis and brain structure and function in order to facilitate the forecasting of elements that contribute to healthy aging.
|Age in years from:||55|
|To (‘until death’ if applicable):||until death|
Over 55 years old, absence of dementia and/or presence of disabling pathologies or disease, and ability to understand informed consent.
Age below 55 years old, dementia and/or presence of disabling pathologies or disease, and inability to understand informed consent.
- 1,000 – 5,000 participants
Neurocognitive tests, neuroimaging, endocrine and metabolic measures.
- Cross sectional survey
- Other health assessment (specify) / N/A
- Socio-demographic background
- Data collection ongoing
- Data analysis ongoing
- Yes – funding applied for
- Yes – intend to apply for funding
- Only through the study
- Yes (participants have given permission to be re-contacted via the PIs to ask if they would participate in further studies)
|Data summarised in database||Yes|
|Database is web-based||Yes|
|Database on spreadsheet||Yes|
|Database is on paper||Yes|
English and Portuguese
|Data held as individual records||Yes||100|
|Data is web-based||Yes|
|Data held on computer based records||Yes||100|
|Data held on cards|
English and Portuguese
- No requirement to make data publicly available
- Yes, for all the cohort