ArticleEuropean journal of epidemiology2022
Exploring domains, clinical implications and environmental associations of a deep learning marker of biological ageing.
Article in European journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.
- Impact of Maternal Lifetime Stress on Offspring Biological Aging: A Systematic Review and Meta-Analysis of Observational Studies.International journal of molecular sciences · 2026Pooled it
- Estimating Vascular Age to Evaluate the Association Between Aging and Cardiovascular Disease.Aging cell · 2026Article
- Beyond ethanol: wine, biological aging, and the Mediterranean context.International journal of public health · 2026Article
- Molecular markers, mechanisms and metrics of biological aging: a scoping review.Frontiers in aging · 2026Review
- Moderate Wine Consumption, Defined by the Mediterranean Diet, Is Associated With Delayed Biological Aging in Men From the Moli-sani Study.International journal of public health · 2026Article
- A sex-adjusted 7-biomarker clinical aging clock for translational preventative medicine.Scientific reports · 2025Article
- Different dimensions of smoking behavior and their associations with accelerated composite biomarkers-based biological aging in Chinese older adults.BMC geriatrics · 2025Article
- Does polypharmacy affect epigenetic aging in older people? Evidence from a longitudinal epigenome-wide methylation study.Clinical epigenetics · 2025Article
- Precision nutrition in epigenetic aging: SHAP-optimized machine learning identifies omega-3 constituent-specific associations with aging biomarkers.Biogerontology · 2025Article
- Construction and validation of a DNN-based biological age and its influencing factors in the China Kadoorie Biobank.GeroScience · 2025Article
- Exploring the Complex Relationship between Biological Aging and Cancer in a Prospective Italian Population Cohort.Aging and disease · 2025Article
- Prominent role of PM10 in the link between air pollution and incident Parkinson's Disease.NPJ Parkinson's disease · 2025Article
- Development and validation of deep learning- and ensemble learning-based biological ages in the NHANES study.Frontiers in aging neuroscience · 2025Article
- The association of biological age and its trajectory with incident heart failure: a cohort study from China.Frontiers in cardiovascular medicine · 2025Article
- A Novel Metabolomic Aging Clock Predicting Health Outcomes and Its Genetic and Modifiable Factors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Life-Course Socioeconomic Trajectories and Biological Aging: The Importance of Lifestyles and Physical Wellbeing.Nutrients · 2024Article
- Blood-based biological ageing and red cell distribution width are associated with prevalent Parkinson's disease: findings from a large Italian population cohort.Frontiers in endocrinology · 2024Article
- Article
- Measuring healthy ageing: current and future tools.Biogerontology · 2023Review
- Healthy Lifestyle Behaviors and Biological Aging in the U.S. National Health and Nutrition Examination Surveys 1999-2018.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023Article
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 2 countries.
Funding
Abstract
Deep Neural Networks (DNN) have been recently developed for the estimation of Biological Age (BA), the hypothetical underlying age of an organism, which can differ from its chronological age (CA). Although promising, these population-specific algorithms warrant further characterization and validation, since their biological, clinical and environmental correlates remain largely unexplored. Here, an accurate DNN was trained to compute BA based on 36 circulating biomarkers in an Italian population (N = 23,858; age ≥ 35 years; 51.7% women). This estimate was heavily influenced by markers of metabolic, heart, kidney and liver function. The resulting Δage (BA-CA) significantly predicted mortality and hospitalization risk for all and specific causes. Slowed biological aging (Δage < 0) was associated with higher physical and mental wellbeing, healthy lifestyles (e.g. adherence to Mediterranean diet) and higher socioeconomic status (educational attainment, household income and occupational status), while accelerated aging (Δage > 0) was associated with smoking and obesity. Together, lifestyles and socioeconomic variables explained ~48% of the total variance in Δage, potentially suggesting the existence of a genetic basis. These findings validate blood-based biological aging as a marker of public health in adult Italians and provide a robust body of knowledge on its biological architecture, clinical implications and potential environmental influences.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.