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In A Nutshell
- A blood-based biological aging score was linked to significantly higher dementia risk in a study of more than 223,000 adults, with the strongest association seen for vascular dementia.
- People whose blood chemistry suggested they were aging faster than their actual age also tended to develop dementia earlier, across multiple dementia types.
- When biological aging and high-risk APOE genetics combined, all-cause dementia risk was more than 10 times higher than in people with average scores on both measures.
- Omega-3 and other lipid-related compounds were among the blood markers most strongly tied to lower dementia hazards, pointing to potential targets for future research.
A blood-based measure of biological aging could one day help doctors identify people who may face higher dementia risk years before any symptoms appear, according to a large new study published in Alzheimer’s & Dementia.
Researchers at King’s College London and collaborating institutions followed more than 223,000 middle-aged and older adults and found that people whose blood chemistry suggested they were biologically older than their actual age had meaningfully higher odds of developing dementia years later. It is one of the largest studies of its kind.
Dementia currently affects an estimated 982,000 people in the UK alone, with projections suggesting that number could climb to 1.4 million by 2040. In 2023, dementia and Alzheimer’s disease were the leading causes of death in England and Wales, accounting for 11.6% of all registered deaths. Age is the strongest known risk factor, but this study indicates that how fast a person’s biology is aging, as measured through blood chemistry, may say more about dementia risk than the number of years on a birth certificate.
A ‘Biological Clock’ Hidden in Your Blood
At the heart of this research is a tool that uses patterns in hundreds of chemical compounds found in blood to estimate how old a person’s body appears to be, regardless of actual birth year. When that biological estimate runs ahead of a person’s real age, the gap is called a “MileAge delta.” Think of it like the difference between a car’s model year and how worn-down the engine actually is.
Researchers built this clock using a computer program trained to detect patterns across 168 different blood compounds, including fats, proteins that carry fats, and amino acids, the building blocks of protein.
Among the study’s 223,496 participants, recruited through the UK Biobank, a large British health research database, 3,976 people developed dementia over a follow-up window stretching nearly 14 years. Participants had a mean age of just under 57 when their blood was first measured.
Biological Age Predicted Who Got Sick and When
Compared with people whose blood profile looked biologically younger, those whose metabolomic age ran well ahead of their actual age had a 61% higher hazard of vascular dementia (a form driven by problems with blood flow to the brain), a 54% higher hazard of unspecified dementia, and roughly 20% to 24% higher hazard of all-cause dementia, depending on the statistical model used.
Statistically significant links between the biological aging score and Alzheimer’s disease specifically were not found, something the authors called “unexpected,” given what is known about fat metabolism and that disease. Still, people with a biologically older blood profile were diagnosed with Alzheimer’s at a younger age in this dataset, a finding the authors say needs cautious interpretation and replication.
Higher biological age scores were also tied to earlier onset for Alzheimer’s disease, vascular dementia, unspecified dementia, and all-cause dementia. For all-cause dementia, each one-unit increase in the biological aging gap was associated with onset arriving roughly a month sooner.
When Genes and Biology Both Point the Wrong Way
Perhaps the most sobering result came when researchers crossed biological aging data with participants’ genetic profiles. Everyone carries a version of a gene called APOE, and one particular variant, APOE ε4, is well-established as a major genetic risk factor for dementia. People who carry two copies of this higher-risk version face the greatest genetic risk.
When both biological aging and genetic risk were elevated simultaneously, the results were telling. People with a biologically older blood profile and two copies of the high-risk APOE variant had a 10.30-fold higher risk of all-cause dementia compared to people with average biological aging and average genetic risk.
As the authors wrote, “metabolomic aging and genetic risk likely represent independent biological pathways contributing to dementia risk.” Genes and the body’s rate of aging are two separate warning systems, and when both fire at once, the danger compounds.
That also carries a quieter message for people without the high-risk gene variant. Biological aging alone was enough to raise dementia risk, meaning a clean genetic profile is no guarantee of safety if the body is aging faster than it should.
Omega-3 and Other Blood Compounds Tied to Lower Risk
To identify which specific compounds were driving the connection, the team analyzed all 168 blood markers. For vascular dementia, 72 compounds cleared the most stringent statistical threshold. A marker of low-grade ongoing inflammation was associated with higher vascular dementia risk, while various fats and fat-carrying proteins were linked to lower risk. Among specific metabolites, omega-3 had the highest importance score in the biological aging model and was associated with lower dementia hazards across multiple dementia types.
Separately, the paper notes that up to 45% of dementia cases could potentially be delayed or prevented by modifying known risk factors. A blood-based tool that detects who is aging fastest at the molecular level, measurable in middle age before any symptoms emerge, could give doctors and patients a new way to act earlier. Whether someone carries the genes for dementia is no longer the only question worth asking. How fast their biology is aging on the inside may matter just as much.
Disclaimer: This article is based on a peer-reviewed observational study and is intended for informational purposes only. It does not constitute medical advice. The findings reflect statistical associations in a research population and have not been validated as a clinical screening tool. Consult a qualified healthcare provider with any questions about dementia risk or brain health.
Paper Notes
Limitations
The study population was drawn from the UK Biobank, which skews healthier and more socioeconomically advantaged than the general population. Dementia diagnoses came from health records rather than systematic clinical assessments, introducing the possibility of missed or inaccurate diagnoses. Blood chemistry was measured only once per person, so researchers could not track how biological aging scores change over time. The blood chemistry platform is focused primarily on fats and fat-carrying proteins, meaning other compounds relevant to aging may not have been captured. Most participants identified as white European, limiting generalizability to other ancestry groups. The study is observational, meaning it can identify associations but cannot establish that biological aging causes dementia.
Funding and Disclosures
Research received support from the King’s Prize Fellowship; the National Institute for Health and Care Research (NIHR) Maudsley Biomedical Research Centre (BRC); King’s College London DRIVE-Health Centre for Doctoral Training and the Perron Institute for Neurological and Translational Science; the Perron Institute for Neurological and Translational Science; and a Sir Henry Wellcome Postdoctoral Fellowship (Grant/Award Number: 222811/Z/21/Z). Cathryn M. Lewis is a member of the scientific advisory board of Myriad Neuroscience, has received speaker fees from SYNLAB, and received consultancy fees from UCB Pharma. Oliver Pain provides consultancy services for UCB Pharma. All other authors declared no conflicts of interest.
Publication Details
Authors: Julian Mutz, Lachlan Gilchrist, Oliver Pain, Petroula Proitsi, Cathryn M. Lewis | Affiliations: Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London; Perron Institute for Neurological and Translational Science, Perth, Australia; Centre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary’s University of London; Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King’s College London; Department of Medical and Molecular Genetics, Faculty of Life Sciences & Medicine, King’s College London | Journal: Alzheimer’s & Dementia | Paper Title: Metabolomic ageing (MileAge) in mid-life predicts incident vascular, unspecified and all-cause dementia | DOI: 10.1002/alz.71280 | Publication Status: Published open access under Creative Commons Attribution License; © 2026 The Author(s), published by Wiley Periodicals LLC on behalf of Alzheimer’s Association.







