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Advanced biological ageing predicts future risk for neurological diagnoses and clinical examination findings

Age is a dominant risk factor for some of the most common neurological diseases. Biological ageing encompasses interindividual variation in the rate of ageing and can be calculated from clinical biomarkers or DNA methylation data amongst other approaches. Here, we tested the hypothesis that a biolog...

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Autores principales: McMurran, Christopher E, Wang, Yunzhang, Mak, Jonathan K L, Karlsson, Ida K, Tang, Bowen, Ploner, Alexander, Pedersen, Nancy L, Hägg, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690013/
https://www.ncbi.nlm.nih.gov/pubmed/37490842
http://dx.doi.org/10.1093/brain/awad252
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author McMurran, Christopher E
Wang, Yunzhang
Mak, Jonathan K L
Karlsson, Ida K
Tang, Bowen
Ploner, Alexander
Pedersen, Nancy L
Hägg, Sara
author_facet McMurran, Christopher E
Wang, Yunzhang
Mak, Jonathan K L
Karlsson, Ida K
Tang, Bowen
Ploner, Alexander
Pedersen, Nancy L
Hägg, Sara
author_sort McMurran, Christopher E
collection PubMed
description Age is a dominant risk factor for some of the most common neurological diseases. Biological ageing encompasses interindividual variation in the rate of ageing and can be calculated from clinical biomarkers or DNA methylation data amongst other approaches. Here, we tested the hypothesis that a biological age greater than one's chronological age affects the risk of future neurological diagnosis and the development of abnormal signs on clinical examination. We analysed data from the Swedish Adoption/Twin Study of Aging (SATSA): a cohort with 3175 assessments of 802 individuals followed-up over several decades. Six measures of biological ageing were generated: two physiological ages (created from bedside clinical measurements and standard blood tests) and four blood methylation age measures. Their effects on future stroke, dementia or Parkinson's disease diagnosis, or development of abnormal clinical signs, were determined using survival analysis, with and without stratification by twin pairs. Older physiological ages were associated with ischaemic stroke risk; for example one standard deviation advancement in baseline PhenoAge(Phys) or KDMAge(Phys) residual increased future ischaemic stroke risk by 29.2% [hazard ratio (HR): 1.29, 95% confidence interval (CI) 1.06–1.58, P = 0.012] and 42.9% (HR 1.43, CI 1.18–1.73, P = 3.1 × 10(−4)), respectively. In contrast, older methylation ages were more predictive of future dementia risk, which was increased by 29.7% (HR 1.30, CI 1.07–1.57, P = 0.007) per standard deviation advancement in HorvathAge(Meth). Older physiological ages were also positively associated with future development of abnormal patellar or pupillary reflexes, and the loss of normal gait. Measures of biological ageing can predict clinically relevant pathology of the nervous system independent of chronological age. This may help to explain variability in disease risk between individuals of the same age and strengthens the case for trials of geroprotective interventions for people with neurological disorders.
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spelling pubmed-106900132023-12-02 Advanced biological ageing predicts future risk for neurological diagnoses and clinical examination findings McMurran, Christopher E Wang, Yunzhang Mak, Jonathan K L Karlsson, Ida K Tang, Bowen Ploner, Alexander Pedersen, Nancy L Hägg, Sara Brain Original Article Age is a dominant risk factor for some of the most common neurological diseases. Biological ageing encompasses interindividual variation in the rate of ageing and can be calculated from clinical biomarkers or DNA methylation data amongst other approaches. Here, we tested the hypothesis that a biological age greater than one's chronological age affects the risk of future neurological diagnosis and the development of abnormal signs on clinical examination. We analysed data from the Swedish Adoption/Twin Study of Aging (SATSA): a cohort with 3175 assessments of 802 individuals followed-up over several decades. Six measures of biological ageing were generated: two physiological ages (created from bedside clinical measurements and standard blood tests) and four blood methylation age measures. Their effects on future stroke, dementia or Parkinson's disease diagnosis, or development of abnormal clinical signs, were determined using survival analysis, with and without stratification by twin pairs. Older physiological ages were associated with ischaemic stroke risk; for example one standard deviation advancement in baseline PhenoAge(Phys) or KDMAge(Phys) residual increased future ischaemic stroke risk by 29.2% [hazard ratio (HR): 1.29, 95% confidence interval (CI) 1.06–1.58, P = 0.012] and 42.9% (HR 1.43, CI 1.18–1.73, P = 3.1 × 10(−4)), respectively. In contrast, older methylation ages were more predictive of future dementia risk, which was increased by 29.7% (HR 1.30, CI 1.07–1.57, P = 0.007) per standard deviation advancement in HorvathAge(Meth). Older physiological ages were also positively associated with future development of abnormal patellar or pupillary reflexes, and the loss of normal gait. Measures of biological ageing can predict clinically relevant pathology of the nervous system independent of chronological age. This may help to explain variability in disease risk between individuals of the same age and strengthens the case for trials of geroprotective interventions for people with neurological disorders. Oxford University Press 2023-07-25 /pmc/articles/PMC10690013/ /pubmed/37490842 http://dx.doi.org/10.1093/brain/awad252 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
McMurran, Christopher E
Wang, Yunzhang
Mak, Jonathan K L
Karlsson, Ida K
Tang, Bowen
Ploner, Alexander
Pedersen, Nancy L
Hägg, Sara
Advanced biological ageing predicts future risk for neurological diagnoses and clinical examination findings
title Advanced biological ageing predicts future risk for neurological diagnoses and clinical examination findings
title_full Advanced biological ageing predicts future risk for neurological diagnoses and clinical examination findings
title_fullStr Advanced biological ageing predicts future risk for neurological diagnoses and clinical examination findings
title_full_unstemmed Advanced biological ageing predicts future risk for neurological diagnoses and clinical examination findings
title_short Advanced biological ageing predicts future risk for neurological diagnoses and clinical examination findings
title_sort advanced biological ageing predicts future risk for neurological diagnoses and clinical examination findings
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690013/
https://www.ncbi.nlm.nih.gov/pubmed/37490842
http://dx.doi.org/10.1093/brain/awad252
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