Quantification of biological aging in young adults
By Daniel W Belsky, Avshalom Caspi, Renate M. Houts, H. Cohen, David L. Corcoran, A. Danese, H. Harrington, S. Israel, M. Levine, J. Schaefer and 5 more. Proceedings of the National Academy of Sciences of the United States of America, 2015
867 citations recorded by the source corpus.
Subfields: Aging, Health, Toxicology and Mutagenesis, Pediatrics, Perinatology and Child Health
View Paper: https://www.semanticscholar.org/paper/7999f5f565b25e2b1980540783dee5302a55ca07
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Citations in the corpus
- A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge (2021, background): “More inclusive approaches incorporate all available biomarkers with known relationship to aging-related disease or to biological systems affected by aging [30, 33].”
- Biological Age Predictors (2017, methodology): “…function, HbA1c, hyperglyceridemia Hertel et al. (2016) Composite biomarker 10 biomarkers combined 3 Mortality, IQ, physical function Levine (2013), Belsky et al. (2015) Composite biomarker 19 biomarkers in a clustering approach 1 Mortality, cancer, CVD, T2D, physical function, cognition…”
- A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study (2018, methodology): “evaluated aging measures, including Levine Biological Age, in a cohort study of young adults who were mostly disease-free [15,16].”
- An epigenetic biomarker of aging for lifespan and healthspan (2018, result): “Previous work by us and others have shown that “phenotypic aging measures”, derived from clinical biomarkers [28-32], strongly predict differences in the risk of all-cause mortality, cause-specific mortality, physical functioning, cognitive performance measures, and facial aging among same-aged indi”
- Tet2-mediated Clonal Hematopoiesis Accelerates Heart Failure through a Mechanism Involving the IL-1β/NLRP3 Inflammasome (2018, background): “The prevalence of heart failure approximately doubles with each decade of life (1,2), and due to dramatic increases in the aging population, the heart failure epidemic is anticipated to grow significantly in the coming decades (3).”
- Measuring biological age using omics data (2022, background): “…is progress in designing interpretable neural networks by explicitly encoding specific biological pathways into their structure 202 or back-propagating information to input features 203 ; these exciting approaches may better capture the complexity of ageing. composite rate of biological ageing 74 .”