More Work on DNA Methylation as a Biomarker of Aging

The search continues for efficiently measured patterns of DNA methylation that correlate tightly to either chronological or biological age, with the latter being somewhat more useful than the former, as it could be used to rapidly evaluate the effectiveness of potential future rejuvenation treatments. Speed in evaluation is a driver of rapid progress, as it allows for more rapid exploration and avoidance of dead ends. Thus it is well worth keeping an eye on progress towards useful biomarkers of aging.

We perform a comprehensive analysis of methylation profiles to narrow down 102 age-related CpG sites in blood. We demonstrate that most of these age-associated methylation changes are reversed in induced pluripotent stem cells (iPSCs). Methylation levels at three age-related CpGs - located in the genes ITGA2B, ASPA and PDE4C - were subsequently analyzed by bisulfite pyrosequencing of 151 blood samples.

This epigenetic aging signature facilitates age predictions with a mean absolute deviation from chronological age of less than 5 years. This precision is higher than age predictions based on telomere length. Variation of age predictions correlates moderately with clinical and lifestyle parameters supporting the notion that age-associated methylation changes are associated more with biological age than with chronological age. Furthermore, patients with acquired aplastic anemia or dyskeratosis congenita - two diseases associated with progressive bone marrow failure and severe telomere attrition - are predicted to be prematurely aged.

Our epigenetic aging signature provides a simple biomarker to estimate the state of aging in blood. Age-associated DNA methylation changes are counteracted in iPSCs. On the other hand, over-estimation of chronological age in bone marrow failure syndromes is indicative for exhaustion of the hematopoietic cell pool. Thus, epigenetic changes upon aging seem to reflect biological aging of blood.

Link: http://dx.doi.org/10.1186/gb-2014-15-2-r24

Comments

Will you comment the recent MitoQ study done on mice, Reason?

Posted by: cosmicalstorm at May 8th, 2014 12:46 PM
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