ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2019
Multi-Omic Biological Age Estimation and Its Correlation With Wellness and Disease Phenotypes: A Longitudinal Study of 3,558 Individuals.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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
51 citing papers in PubMed, 1 synthesis or guideline pooled it, 143 citations in OpenAlex.
- A metabolomic signature of the APOE2 allele.GeroScience · 2023Pooled it
- Trial
- The Relationship between Biological Aging and Cognitive Function: A Machine Learning Model.Yonsei medical journal · 2026Article
- HealthAge: evaluation of intrinsic capacity changes in humans, mice, and killifish to explore the biology of aging.GeroScience · 2026Review
- Metabolomic signatures of extreme old age: findings from the New England Centenarian Study.GeroScience · 2026Article
- Review
- Molecular markers, mechanisms and metrics of biological aging: a scoping review.Frontiers in aging · 2026Review
- Artificial intelligence approaches in biological age prediction: current status and challenges.British journal of biomedical science · 2026Review
- Building a framework for integrative longevity science: from rediscovery to innovation.Frontiers in aging · 2026Article
- Psoriasis and phenotypic age acceleration in relation to all-cause and cardiovascular disease mortality risks in US adults.European journal of medical research · 2025Article
- METABOLOMIC SIGNATURES OF EXTREME OLD AGE: FINDINGS FROM THE NEW ENGLAND CENTENARIAN STUDY.bioRxiv : the preprint server for biology · 2025Article
- Longitudinal big biological data in the AI era.Molecular systems biology · 2025Review
- Placental network differences among obstetric syndromes identified with an integrated multiomics approach.Communications biology · 2025Article
- Longitudinal associations between medication use and phenotypic aging: insights from the Baltimore longitudinal study of aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Observational
- Article
- Article
- The relationship between biological aging and psoriasis: evidence from three observational studies.Immunity & ageing : I & A · 2025Article
- Characterizing changes to individual-specific brain signature with age.Frontiers in aging neuroscience · 2025Article
- Sex-specific associations between brominated flame retardants exposure and phenotypic age acceleration in NHANES 2005-2010.Frontiers in public health · 2025Article
- Integrating multi-layered biological priors to improve genomic prediction accuracy in beef cattle.Biology direct · 2024Article
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
Biological age (BA), derived from molecular and physiological measurements, has been proposed to better predict mortality and disease than chronological age (CA). In the present study, a computed estimate of BA was investigated longitudinally in 3,558 individuals using deep phenotyping, which encompassed a broad range of biological processes. The Klemera-Doubal algorithm was applied to longitudinal data consisting of genetic, clinical laboratory, metabolomic, and proteomic assays from individuals undergoing a wellness program. BA was elevated relative to CA in the presence of chronic diseases. We observed a significantly lower rate of change than the expected ~1 year/year (to which the estimation algorithm was constrained) in BA for individuals participating in a wellness program. This observation suggests that BA is modifiable and suggests that a lower BA relative to CA may be a sign of healthy aging. Measures of metabolic health, inflammation, and toxin bioaccumulation were strong predictors of BA. BA estimation from deep phenotyping was seen to change in the direction expected for both positive and negative health conditions. We believe BA represents a general and interpretable "metric for wellness" that may aid in monitoring aging over time.
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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.