biological age

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Introduction

  • Biological age captures some of the variance in life expectancy for which chronological age is not accountable
  • quantifies the heterogeneity in the presentation of the aging phenotype in different individuals.
  • in the elderly, biological age may be estimated using the frailty index
  • the frailty index outperforms age & Klemera-Doubal's biological age estimates in the elderly, especially among the oldest old at high risk of mortality due to (at least in part) biological aging[1]
  • a DNA methylation index, based on 38 CpG sites can predict mortality better than the frailty index based on health, function, & blood chemistry[1]

Etiology

Methods

  • 3 commonly used methods to compute biological age
    • principal components-PCA
    • multiple regression-MLR
    • Klemera-Doubal's method-KD
  • a structural equation model
    • represents the relation between chronological age & biological age
    • circumvents the need to impose arbitrary assumptions about the relation between chronological age & biological age
    • provides tools to empirically test the validity of assumptions a researcher may wish to invoke[2]
  • a structural equation model estimates of biological age differs from those estimates from principal components & multiple regression, but is comparable to Klemera-Doubal's method[2]
  • 5 groups of biomarkers

Notes

More general terms

Additional terms

References

  1. Jump up to: 1.0 1.1 1.2 1.3 Kim S, Fuselier J, Welsh DA et al Feature Selection Algorithms Enhance the Accuracy of Frailty Indexes as Measures of Biological Age. J Gerontol A Biol Sci Med Sci. 2021 PMID: https://www.ncbi.nlm.nih.gov/pubmed/33471059 PMCID: PMC8277082 Free PMC article.
  2. Jump up to: 2.0 2.1 2.2 Beltran-Sanchez H, Palloni A, Huangfu Y, McEniry MC. Modeling biological age and its link with the aging process. PNAS Nexus. 2022 Jul 26;1(3):pgac135. PMID: https://www.ncbi.nlm.nih.gov/pubmed/36741436 PMCID: PMC9923798 Free PMC article.
  3. Jump up to: 3.0 3.1 Wei K, Peng S, Liu N et al All-Subset Analysis Improves the Predictive Accuracy of Biological Age for All-Cause Mortality in Chinese and U.S. Populations. J Gerontol A Biol Sci Med Sci. 2022 Nov 21;77(11):2288-2297. PMID: https://www.ncbi.nlm.nih.gov/pubmed/35417546 PMCID: PMC9923798 Free PMC article.
  4. Jump up to: 4.0 4.1 4.2 Chen L, Zhang Y, Yu C et al Modeling biological age using blood biomarkers and physical measurements in Chinese adults. EBioMedicine. 2023 Mar;89:104458. PMID: https://www.ncbi.nlm.nih.gov/pubmed/36758480 PMCID: PMC9941058 Free PMC article. https://www.thelancet.com/journals/ebiom/article/PIIS2352-3964(23)00023-3/fulltext
  5. Jump up to: 5.0 5.1 5.2 5.3 Shen X, Wang C, Zhou X, Zhou W, Hornburg D, Wu S, Snyder MP. Nonlinear dynamics of multi-omics profiles during human aging. Nat Aging. 2024 Aug 14. PMID: https://www.ncbi.nlm.nih.gov/pubmed/39143318 https://www.nature.com/articles/s43587-024-00692-2