ArticleBrain : a journal of neurology2023
Advanced biological ageing predicts future risk for neurological diagnoses and clinical examination findings.
Article in Brain : a journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Accelerated biological aging based on DNA methylation clocks is a predictor of stroke occurrence: a systematic review and meta-analysis.Frontiers in neurology · 2025Pooled it
- Integrative prediction of Alzheimer's disease and related dementias using multi-omics aging clocks and genetic data.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Observational
- Accelerated Biological Aging, Neurodegenerative Disease, and Mortality in Cardiovascular Disease Patients: Mediation and Modification Analysis.CNS neuroscience & therapeutics · 2026Article
- Deep Learning-Derived Retinal Age Detects Cognitive Impairment.Ophthalmology science · 2026Article
- A lipidomic based metabolic age score for monitoring the effects of lifestyle and diet on metabolic disease risk.Research square · 2026Article
- The mediating role of biological age in the impact of mood instability symptoms on neurodegenerative disease and mortality.BMC medicine · 2025Article
- The Relevance of Chronological and Biological Aging in the Progression of Multiple Sclerosis.Healthcare (Basel, Switzerland) · 2025Review
- Association of biological age acceleration with poor outcome after endovascular thrombectomy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- Brain DNA Methylation Age, Lifestyle Factors and Dementia in the Swedish Twin Registry.Aging cell · 2025Article
- Comprehensive analysis of molecular, physiological, and functional biomarkers of aging with neurological diseases using Mendelian randomization.GeroScience · 2025Article
- Complementary value of molecular, phenotypic, and functional aging biomarkers in dementia prediction.GeroScience · 2025Article
- Biological aging of different blood cell types.GeroScience · 2025Article
- Clinical biomarker-based biological ageing and future risk of neurological disorders in the UK Biobank.Journal of neurology, neurosurgery, and psychiatry · 2024Article
- A blood biomarker of the pace of aging is associated with brain structure: replication across three cohorts.Neurobiology of aging · 2024Article
- A blood biomarker of accelerated aging in the body associates with worse structural integrity in the brain: replication across three cohorts.medRxiv : the preprint server for health sciences · 2023Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
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 PhenoAgePhys or KDMAgePhys 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 HorvathAgeMeth. 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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