Modeling the rate of senescence: can estimated biological age predict mortality more accurately than chronological age?
By M. Levine. The journals of gerontology. Series A, Biological sciences and medical sciences, 2013
779 citations recorded by the source corpus.
Subfields: Aging, Geriatrics and Gerontology, Pediatrics, Perinatology and Child Health
View Paper: https://www.semanticscholar.org/paper/1c32e88dbc57922e340ec2690154ce99f8a6a141
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Citations in the corpus
- Biological Age Predictors (2017, methodology): “…glycated hemoglobin, systolic blood pressure, serum albumin, total cholesterol, cytomegalovirus optical density, serum alkaline phosphatase, forced expiratory volume, and serum urea nitrogen) were combined into a biological age predictor in the NHANES III study (n = 9389) (Levine, 2013).”
- DunedinPACE, a DNA methylation biomarker of the pace of aging (2021, methodology): “Consistent with analysis of epigenetic age acceleration, participants with more advanced biological aging measured from physiological data also showed faster DunedinPACE (KDM Biological Age Advancement r=0.30; Phenotypic Age Advancement r=0.32; Homeostatic Dysregulation r=0.09; Figure 3 Panel C).”
- Quantification of biological aging in young adults (2015, methodology): “” In more than 9,000 NHANES participants aged 30–75 y at baseline, Biological Age outperformed chronological age in predicting mortality over a two-decade follow-up (26).”
- Deep biomarkers of human aging: Application of deep neural networks to biomarker development (2016, background): “Aging is a complex process and occurs at different rates and to different extents in the various organ systems, including respiratory, renal, hepatic, and metabolic [19, 20].”
- Measuring biological age using omics data (2022, methodology): “Levine et al. 47 built the DNAm PhenoAge clock, which uses standard methods but predicts a composite biological age score 31 based on a linear combination of chronological age and nine clinical parameters associated with mortality risk.”
- An epigenetic biomarker of aging for lifespan and healthspan (2018, background): “What’s more, in representative population data, some of these measures have been shown to be better indicators of remaining life expectancy than chronological age [28], suggesting that they may be approximating individuallevel differences in biological aging rates.”
- A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study (2018, methodology): “Since another similar aging measure—Levine Biological Age (BioAge), which utilizes the Klemera and Doubal algorithm—currently provides one of the most accurate mortality predictors [13], we performed an additional analysis comparing the associations and predictions of Phenotypic Age to those of this”
- A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge (2021, methodology): “The NHANES4 dataset also contains computed values of KDM biological age and PhenoAge based on the original versions of those algorithms published by Levine and colleagues [13, 38].”