Exclusive Algorithm: DunedinPACE
Epigenetic measures of methylation have been one of the most exciting areas of medicine since 2013 when they first gained notoriety for being the most accurate method to predict biological age.
Since then, our understanding of how to read the data obtained from an individual’s methylation epigenetic has significantly increased. For instance, with the same data we were obtaining previously, we can now predict the age of the immune system, predict immune cell subsets, and even telomere length in a way that is more accurate and predictive of health outcomes than traditional telomere length measurements.
TruDiagnostic is excited to announce that we have exclusively licensed one of the best aging algorithms to date
Think of it like a Speedometer for your Aging process.
The Dunedin Pace of Aging is an advanced algorithm reveals your Biological Age’s current rate of change.
With one test, it gives an instant evaluation of your “Pace of Aging” by looking at methylation markers.
Rather than a static clock that notes how much time has passed for your biological systems (how much it has already aged up to that point) DunedinPACE is designed to function as a speedometer, recording how fast it is currently aging.
Aging Is A Lifelong Process
Change How You View Aging
The latest studies into aging, disease, and mortality have shown that our previous models of aging didn’t show the whole picture.
Years ago, we used to think that people just developed diseases later in life, which made them frailer and eventually pass away.
The newer model hypothesized that early-life adversity could cause later disease, and researchers have been trying to figure out why.
The latest aging and longevity research finally shows that connection. Early adversity influences a person’s entire body – down to their gene expression.
These aging markers create significant changes to the brain, immune system, and the rest of your body at a deeply fundamental level.
For this comparison, researchers overlaid the faces of the 10 people with the slowest pace-of-aging biomarkers, 10 who were aging at the average rate, and 10 who were showing the largest signs of accelerated aging.
This created an “average face” for each style of aging.
All the individuals involved in these renders share the same chronological age. All of them were born in 1972.
Accelerated Pace of Aging created these differences.
Effect on the Brain
Pace of Aging also showed a strong influence on brain health.
A highly folded brain surface, with a greater surface area and thicker cerebral cortex generally indicates a greater brain power and higher intelligence.
Someone who had a slower pace of aging generally did better on memory and intelligence tests, and had better measures of brain health.
But accelerated aging created both a notable loss of cortical thickness and reduced surface area of the brain.
Even at 3 years old, pace of aging was found to predict health outcomes they’d face at age 45.
Test Early, Intervene Early
The research clearly shows that the best time to intervene was “As early as possible.”
The diseases studied didn’t appear suddenly. Many could be predicted decades ahead of time, by tracking markers of accelerated aging. This means folks could start acting to prevent those diseases, decades ahead of time.
By stepping in to reduce Pace of Aging markers, you also reduce the risk of developing diseases like Diabetes, COPD, Heart Disease, and Stroke, that those markers predict.
Changes to Pace of Aging is especially effective when you start young.
People of all ages should pursue a slower pace of aging, to have a longer life with fewer age-related diseases.
DunedinPACE Development - 50 years in the making
The DunedinPACE algorithm is a one-of-a-kind algorithm created by researchers from Duke, Columbia, and the University of Otago.
Duke professors Terrie Moffitt and Avshalom Caspi head a team of six who finished developing the DunedinPACE tool in 2021.
Building the database took the international team five decades; they tracked biological changes in the bodies of 1037 amazing New Zealanders who are members of the Dunedin Multidisciplinary Health and Development study, a project that began with their birth in 1972.
“We are now applying Dunedin Pace of Aging in 19 other large health-tracking studies. One goal is to test just how sensitively it detects when people change their lifestyles and health behaviours. We are looking at many thousands of people: different ethnic groups, age groups, and men and women, living in different countries. Dunedin Pace of Aging is the only aging measure so far that was trained on biological change, and the enthusiasm from the international teams who are participating is super exciting!” said Moffitt.
It is a great tool to add to your longevity-based analysis because, unlike biological age clock algorithms, it is able to tell you how you are aging at the precise moment of the test, instead of just the overall age of your body.
This measurement shows if you are currently implementing the best lifestyle choices to reduce your biological aging and disease risk over time.
Why is this revolutionary?
Differentiate between current Aging versus overall aging
A single Biological Age result offers a good overall idea of your aging process. However, it doesn’t differentiate the past from how you are living and aging currently.
This new algorithm is able to tell you how quickly you are aging RIGHT NOW, at the moment you took the test. Your current Pace of Aging.
Get real-time feedback for REAL personalized medicine.
One of the big issues with aging medicine is that we haven’t had an objective metric to appropriately measure aging.
Now, we have a metric which is able to measure aging on an individualized and personalized basis.
For instance, some patients might have drastically different responses to the same medication.
If you gave 2 patients an NAD+ precursor, we can now tell you which is responding better to the intervention. We can now can make aging a far more personalized experience.
One of the most highly predictive algorithms
954 people in a long-term study named “The Dunedin Study” verified that the people this algorithm identified as aging faster did have a greater long-term risk of poor health, developing chronic diseases, or dying earlier. Similarly, those identified as aging more slowly, later performed significantly better on tests of balance, strength, and mental ability.
Even being slightly above 1 on this metric increases your risk of death in the next 7 years by 56%, and increases your risk of chronic disease diagnosis by 54%
Better sensitivity and detection
The sensitivity of biological age testing is limited in shorter periods of time.
Through studies using DunedinPACE, like the CALERIE study, we know that this algorithm can be a more appropriate method to validate interventions within shorter timeframes.
Dr. Eileen Crimmons in USC evaluated DunedinPACE, and found it was the most predicative age-related biomarker for predicting health consequences.