TL;DR
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Researchers tested an MRI-based measure called DunedinPACNI in two groups of midlife adults and found that faster scores were associated with higher blood-based measures of aging across multiple body systems. The study also examined later blood tests in a subset of participants, but the supplied report does not include the longitudinal results or show that one scan can diagnose an individual’s aging rate.
Researchers testing whether a single brain MRI could offer clues about aging beyond the brain found that a structural measure, DunedinPACNI, was associated with blood-based markers of multisystem aging in two midlife cohorts. The study, published in npj Aging, supports further investigation of the measure but does not establish that a scan can determine an individual’s overall health or predict how quickly that person will age.
The researchers analyzed 451 participants in the University of Pittsburgh’s Adult Health and Behavior study and 295 in its Neurobiology of Adult Health study. Both cohorts included generally healthy adults recruited from communities around Pittsburgh. The team used structural features from MRI scans to calculate DunedinPACNI, then compared those scores with composite measures made from blood biomarkers linked to several physiological systems.
Faster DunedinPACNI scores were associated with higher multisystem biological-aging scores in both cohorts. The measure was also associated with chronological age, and participants with fewer years of education had faster scores in both groups, even after adjustment for age and sex. The education finding is an association; it does not show that education itself caused differences in brain aging.
Researchers also checked whether the association with blood biomarkers was explained by other established brain-age measures. It remained largely consistent after statistical adjustment, although one association in the Adult Health and Behavior cohort weakened and was no longer statistically significant after adjustment for DeepBrainNet. The cohorts differed in recruitment, MRI scanners and protocols, so the authors did not formally compare the size of their estimates.
What the MRI Measure Could Add
Most assessments of physiological aging use blood tests or other measures of body systems. An MRI-derived marker that tracks with blood-based aging scores could offer researchers a way to examine how brain structure relates to broader health, rather than treating brain aging as an isolated process. The findings across two cohorts provide evidence that DunedinPACNI may capture information associated with whole-body aging.
That is not the same as showing that a scan is ready for routine screening. The study reports group-level statistical associations, not a validated clinical test that can give a reliable personal forecast. Readers should not interpret a brain scan or an aging score as a diagnosis or as a substitute for medical assessment.
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How DunedinPACNI Was Tested
DunedinPACNI was developed using data from the Dunedin Study. It uses brain structure measured on MRI to estimate pace of physiological aging, drawing on relationships between midlife brain features and earlier changes across 19 measures of physiological health. Earlier research had linked faster scores with socioeconomic disadvantage, chronic disease and mortality, but the measure’s links to whole-body aging and its performance across populations required further testing.
In this study, investigators created blood-based composite scores using available biomarkers in each cohort. The Adult Health and Behavior cohort had eight measures and the Neurobiology of Adult Health cohort had six, drawn from a recommended panel that includes markers related to inflammation, metabolism, kidney function and cardiovascular health. A separate subgroup of 224 participants had a second blood-biomarker assessment 7–15 years after baseline, allowing the researchers to examine longer-term changes.
“The researchers examined whether an MRI-based aging marker could offer insights beyond the brain itself.”
— The study authors, as summarized by News-Medical
Limits of the Aging Estimate
The supplied report does not provide the numerical effect sizes or the results of the longitudinal analysis, so it is not possible here to say how strongly the MRI measure predicted later biomarker scores after accounting for participants’ baseline levels. It also does not establish a threshold that could classify a person as aging quickly or slowly.
The cohorts were drawn from one metropolitan area and differed in recruitment and MRI methods. More broadly, an association between brain structure and blood markers does not establish that the brain measure causes changes elsewhere in the body. The report does not show whether the score improves individual health predictions beyond existing clinical information, or how accurately it would work in other populations.
Longitudinal Evidence Still Matters
The reported longitudinal subgroup offers a way to test whether a baseline DunedinPACNI score is linked to blood-based aging measures years later, beyond what was already apparent at baseline. However, the source material provided for this article ends before giving those results. The next key information is the full longitudinal finding, including effect sizes and the degree of predictive accuracy.
Further validation in larger and more diverse groups would also be needed before considering any clinical use. For now, the study supports continued research into how a single MRI’s structural information relates to aging across body systems; it does not confirm that one scan can tell an individual how quickly their body is aging.
Key Questions
Can one brain scan tell me how quickly my body is aging?
Not on the evidence reported here. The study found associations between an MRI-based score and blood biomarker composites across groups, but did not establish a personal diagnostic or forecasting test.
What is DunedinPACNI?
DunedinPACNI is an MRI-based measure that uses structural features of the brain to estimate pace of physiological aging. It was developed using data from the Dunedin Study.
What did the researchers find?
Faster DunedinPACNI scores were associated with higher multisystem biological-aging scores in two University of Pittsburgh cohorts. The score was also associated with chronological age and fewer years of education.
Did the study show that education changes brain aging?
No. It found an association between fewer years of education and faster DunedinPACNI scores after adjustment for age and sex. That result does not establish cause and effect.
Does the scan predict future health?
The study included a subgroup with repeat blood tests 7–15 years after baseline, but the source material provided here does not report the longitudinal results. The evidence presented does not establish how accurately the measure predicts an individual’s future health.
Source: news-medical.net
