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Modeling biological age using blood biomarkers and physical measurements in Chinese adults
Testing Proposed Quantifications of Biological Aging in Taiwanese Older Adults
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Abstract
Background:
Many common neurological disorders are associated with advancing
chronological age, but their association with biological age (BA)
remains poorly understood.
Methods:
We studied 325 870 participants in the UK Biobank without a diagnosed
neurological condition at baseline and generated three
previously-described measures of BA based on 18 routinely measured
clinical biomarkers (PhenoAge, Klemera-Doubal method age (KDMAge),
homeostatic dysregulation age). Using survival models, we assessed the
effect of advanced BA on incident neurological diagnoses, including
all-cause and cause-specific dementia, ischaemic stroke, Parkinson’s
disease and motor neuron disease.
Results:
During a mean follow-up of 9.0 years, there were 1397 incident cases of
dementia and 2515 of ischaemic stroke, with smaller case numbers of
other diagnoses. The strongest associations with a 1 SD in BA residual
were seen for all-cause dementia (KDMAge HR=1.19, 95% CI=1.11 to 1.26),
vascular dementia (1.41, 1.25 to 1.60) and ischaemic stroke (1.39, 1.34
to 1.46). Weaker associations were seen for Alzheimer’s disease and
motor neuron disease, while, in contrast, HRs for Parkinson’s disease
tended to be <1. Results were largely consistent after adjustment for
disease-specific covariates including common cardiometabolic risk
factors.
Conclusions:
Advanced BA calculated from routine clinical biomarker results
increases the risk of subsequent neurological diagnoses including
all-cause dementia and ischaemic stroke.
https://creativecommons.org/licenses/by/4.0/This
is an open access article distributed in accordance with the Creative
Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits
others to copy, redistribute, remix, transform and build upon this work
for any purpose, provided the original work is properly cited, a link to
the licence is given, and indication of whether changes were made.
See: https://creativecommons.org/licenses/by/4.0/.
Abstract
Background: Many common neurological disorders are associated with advancing chronological age, but their association with biological age (BA) remains poorly understood.
Methods: We studied 325 870 participants in the UK Biobank without a diagnosed neurological condition at baseline and generated three previously-described measures of BA based on 18 routinely measured clinical biomarkers (PhenoAge, Klemera-Doubal method age (KDMAge), homeostatic dysregulation age). Using survival models, we assessed the effect of advanced BA on incident neurological diagnoses, including all-cause and cause-specific dementia, ischaemic stroke, Parkinson’s disease and motor neuron disease.
Results: During a mean follow-up of 9.0 years, there were 1397 incident cases of dementia and 2515 of ischaemic stroke, with smaller case numbers of other diagnoses. The strongest associations with a 1 SD in BA residual were seen for all-cause dementia (KDMAge HR=1.19, 95% CI=1.11 to 1.26), vascular dementia (1.41, 1.25 to 1.60) and ischaemic stroke (1.39, 1.34 to 1.46). Weaker associations were seen for Alzheimer’s disease and motor neuron disease, while, in contrast, HRs for Parkinson’s disease tended to be <1. Results were largely consistent after adjustment for disease-specific covariates including common cardiometabolic risk factors.
Conclusions: Advanced BA calculated from routine clinical biomarker results increases the risk of subsequent neurological diagnoses including all-cause dementia and ischaemic stroke.
This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
