ArticleScientific reports2019
Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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Who cites it
50 citing papers in PubMed.
- Biological Aging, Immune Phenotypes, and Susceptibility to COVID-19 and Sepsis: A Mendelian Randomization Study.Virus research · 2026Article
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- 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
- Androgen receptor gene polymorphism and biological age markers in men.Scientific reports · 2025Article
- Early menopause, hysterectomy, and biological aging: Health and Retirement Study.Menopause (New York, N.Y.) · 2025Article
- Increasing Educational Inequality in Biological Aging Among U.S. Adults Aged 50-79 From 1988-1994 to 2015-2018.Demography · 2025Article
- Explainable machine learning framework for biomarker discovery by combining biological age and frailty prediction.Scientific reports · 2025Article
- Evaluation of Morphology and Biochemical Parameters of Young Adults Using Heated Tobacco Products in Poland: A Case-Control Study.Journal of clinical medicine · 2025Article
- Artificial Intelligence-Driven Biological Age Prediction Model Using Comprehensive Health Checkup Data: Development and Validation Study.JMIR aging · 2025Article
- Biological age prediction using a DNN model based on pathways of steroidogenesis.Science advances · 2025Article
- Deep learning and generative artificial intelligence in aging research and healthy longevity medicine.Aging · 2025Review
- Development and validation of deep learning- and ensemble learning-based biological ages in the NHANES study.Frontiers in aging neuroscience · 2025Article
- From bench to bedside: translational insights into aging research.Frontiers in aging · 2025Review
- Accelerated biological aging as potential mediator in the relationship between central obesity and lung cancer risk.Frontiers in aging · 2025Article
- Article
- Life-Course Socioeconomic Trajectories and Biological Aging: The Importance of Lifestyles and Physical Wellbeing.Nutrients · 2024Article
- Early-life exposure to tobacco, genetic susceptibility, and accelerated biological aging in adulthood.Science advances · 2024Article
- The doctor will polygraph you now.npj health systems · 2024Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is an association between smoking and cancer, cardiovascular disease and all-cause mortality. However, currently, there are no affordable and informative tests for assessing the effects of smoking on the rate of biological aging. In this study we demonstrate for the first time that smoking status can be predicted using blood biochemistry and cell count results andthe recent advances in artificial intelligence (AI). By employing age-prediction models developed using supervised deep learning techniques, we found that smokers exhibited higher aging rates than nonsmokers, regardless of their cholesterol ratios and fasting glucose levels. We further used those models to quantify the acceleration of biological aging due to tobacco use. Female smokers were predicted to be twice as old as their chronological age compared to nonsmokers, whereas male smokers were predicted to be one and a half times as old as their chronological age compared to nonsmokers. Our findings suggest that deep learning analysis of routine blood tests could complement or even replace the current error-prone method of self-reporting of smoking status and could be expanded to assess the effect of other lifestyle and environmental factors on aging.
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