![]() Sometimes as we age, we don’t even feel like we are getting older at all, especially when we still feel young at heart. “Where did the time go?…” - A phrase commonly used by anyone celebrating a birthday or who has seen a wrinkle pop up out of nowhere. One way to check in with your body as you age is to learn how your biological age compares to your chronological age. I have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.May 30 is Senior Health and Fitness Day! As we age, it is important to stay active and healthy in order to live a longer, happier life. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as. I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. UK Biobank gave ethical approval for this work under application number 69634. This approval means that researchers do not require separate ethical clearance and can operate under the RTB approval. UK Biobank has approval from the North West Multi-centre Research Ethics Committee (MREC) as a Research Tissue Bank (RTB) approval. The details of the IRB/oversight body that provided approval or exemption for the research described are given below: I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Neither the FCDO nor the NIHR had a role in the study design, data analysis, preparation of manuscript or decision to publish. ![]() DV and MC-H are members of the Health Protection Research Unit in Chemical and Radiation Threats and Hazards, a partnership between Public Health England and Imperial College London which is funded by the National Institute for Health Research (NIHR). JB was supported by a Commonwealth Scholarship at Imperial College London, funded by the UK Foreign, Commonwealth & Development Office (FCDO). This study was partly funded by Humanity Inc, a company dedicated to measuring and improving biological age. Consulting activities conducted by the company are independent of the present work. MC-H holds shares in the O-SMOSE company and has no conflict of interest to disclose. PKJ is founder of Geromica, a consultancy providing advice on measurement of health and aging. PKJ, LK, MG and PW are partly remunerated under a Humanity Inc share option scheme. MG and PW are founders of Humanity Inc and are employees and hold ordinary shares. AG was formerly a paid consultant of Humanity Inc. PKJ and JB are paid consultants to Humanity Inc, a company focussed on measuring and developing interventions for Biological Age. Thus, we demonstrate a practical and cost-efficient method of estimating an improved measure of BA, available to the general population. Values ranged between 20-years younger and 20-years older than individuals’ chronological age, exposing the magnitude of ageing signals contained in blood markers. BA is estimated as the equivalent age within the same-sex population which corresponds to an individual’s mortality risk. Importantly, we then show that using common clinical assay panels, with few biomarkers, alongside imputation and the model derived on the full set of biomarkers, does not substantially degrade predictive accuracy from the theoretical maximum achievable for the available biomarkers. We implement an Elastic-Net derived Cox model with 25 selected biomarkers to predict mortality risk, which outperforms the well-known blood-biomarker based PhenoAge model, providing a 9.2% relative increase in predictive value. ![]() This study aims to improve BA estimation using machine learning models and a feature-set of 60 circulating biomarkers available from the UK Biobank (UKBB) (n = 307,000). Blood-based biomarkers have been identified as suitable candidates for BA estimation. Biological Age (BA) captures physiological deterioration better than chronological age and is amenable to interventions. ![]()
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