Early warning gene signature for Alzheimer's
- Date:
- September 7, 2015
- Source:
- BioMed Central
- Summary:
- A 'gene signature' that could be used to predict the onset of diseases, such as Alzheimer's, years in advance has been developed by scientists. The study aimed to define a set of genes associated with 'healthy aging' in 65 year olds. Such a molecular profile could be useful for distinguishing people at earlier risk of age-related diseases.
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A 'gene signature' that could be used to predict the onset of diseases, such as Alzheimer's, years in advance has been developed in research published in the open access journal Genome Biology.
The study aimed to define a set of genes associated with 'healthy aging' in 65 year olds. Such a molecular profile could be useful for distinguishing people at earlier risk of age-related diseases. This could improve upon the use of chronological age and complement traditional indicators of disease, such as blood pressure.
Lead author James Timmons, from King's College London, UK, said: "We use birth year, or chronological age, to judge everything from insurance premiums to whether you get a medical procedure or not. Most people accept that all 60 year olds are not the same, but there has been no reliable test for underlying 'biological age'.
"Our discovery provides the first robust molecular 'signature' of biological age in humans and should be able to transform the way that 'age' is used to make medical decisions. This includes identifying those more likely to be at risk of Alzheimer's, as catching those at 'early' risk is key to evaluating potential treatments."
The researchers analyzed the RNA of healthy 65 year old subjects, and used the information to develop a signature of 150 RNA genes that indicated 'healthy aging'. The signature was found to be a reliable predictor for risk of age-related disease when studying RNA from tissues including human muscle, brain and skin.
With this RNA signature, they developed a 'healthy age gene score' which they used to test and compare the RNA profiles of different individuals, and demonstrated that a greater score was associated with better health in men and women.
The researchers studied RNA from healthy 70 year old subjects and analyzed follow-up health data over two decades. Despite all subjects being born within a year of each other, their RNA at around 70 years of age demonstrated a very wide distribution in 'healthy age gene score', varying over a four-fold range. This variation was shown to link to long term health. A greater gene score was also associated with better cognitive health and renal function across a 12 year span -- both important determinants of mortality.
In particular, they demonstrated that patients diagnosed with Alzheimer's Disease had an altered 'healthy aging' RNA signature in their blood, and therefore a lower healthy age gene score, suggesting significant association with the disease.
Timmons added: "This is the first blood test of its kind that has shown that the same set of molecules are regulated in both the blood and the brain regions associated with dementia, and it can help contribute to a dementia diagnosis. This also provides strong evidence that dementia in humans could be called a type of 'accelerated aging' or 'failure to activate the healthy aging program'."
Given that early intervention is important in Alzheimer's and there is a need to identify those at greatest risk, the authors say that their 'healthy age gene score' could be integrated to help decide which middle-aged subjects could be offered entry into a preventative clinical trial many years before the clinical expression of Alzheimer's.
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Journal Reference:
- Sanjana Sood, Iain J. Gallagher, Katie Lunnon, Eric Rullman, Aoife Keohane, Hannah Crossland, Bethan E. Phillips, Tommy Cederholm, Thomas Jensen, Luc JC van Loon, Lars Lannfelt, William E. Kraus, Philip J. Atherton, Robert Howard, Thomas Gustafsson, Angela Hodges, James A. Timmons. A novel multi-tissue RNA diagnostic of healthy ageing relates to cognitive health status. Genome Biology, 2015; 16 (1) DOI: 10.1186/s13059-015-0750-x
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