ArticleAging cell2023
Large-Scale metabolomics: Predicting biological age using 10,133 routine untargeted LC-MS measurements.
Article in Aging cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Article
- Histological aging signatures for monitoring tissue-specific aging and disease.Nature medicine · 2026Article
- Postmortem metabolomics as a window into the agonal phase of death: a comparison between opioid intoxications and hangings.International journal of legal medicine · 2026Article
- A metabolomic clock of population ageing: cross-cohort validation and associations with frailty and cognitive function.GeroScience · 2026Article
- Donor-Independent Metabolomics Enables Bloodstain Age Determination at Crime Scenes.Journal of proteome research · 2026Article
- Towards Metabolomics-Guided Healthy and Anti-Aging Nutrition.Metabolites · 2026Article
- Precision geronutrition: personalized nutritional strategies to extend healthy lifespan.BMB reports · 2026Review
- Review
- mzLearn as a data-driven LC/MS signal detection algorithm that enables pre-trained generative models for untargeted metabolomics.Communications chemistry · 2025Article
- Causal relationship between gut microbiota, metabolites, and short stature: a Mendelian randomization study.Pediatric research · 2025Article
- Protein Catabolites as Blood-Based Biomarkers of Aging Physiology: Findings From the Dog Aging Project.Aging cell · 2025Article
- Selection for Early Reproduction Leads to Accelerated Aging and Extensive Metabolic Remodeling in Drosophila melanogaster.Genome biology and evolution · 2025Article
- Artificial Intelligence-Driven Biological Age Prediction Model Using Comprehensive Health Checkup Data: Development and Validation Study.JMIR aging · 2025Article
- Article
- Advancing clinical biochemistry: addressing gaps and driving future innovations.Frontiers in medicine · 2025Review
- Effect of different pooled qc samples on data quality during an inter-batch experiment in untargeted UHPLC-HRMS analysis on two different MS platforms.Analytical and bioanalytical chemistry · 2025Article
- Metabolomic age (MileAge) predicts health and life span: A comparison of multiple machine learning algorithms.Science advances · 2024Article
- Metabolite and protein associations with general health in the population-based CHRIS study.Scientific reports · 2024Article
- Aging and Pathological Conditions Similarity Revealed by Meta-Analysis of Metabolomics Studies Suggests the Existence of the Health and Age-Related Metapathway.Metabolites · 2024Article
- Postmortem metabolomics as a high-throughput cause-of-death screening tool for human death investigations.iScience · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Untargeted metabolomics is the study of all detectable small molecules, and in geroscience, metabolomics has shown great potential to describe the biological age-a complex trait impacted by many factors. Unfortunately, the sample sizes are often insufficient to achieve sufficient power and minimize potential biases caused by, for example, demographic factors. In this study, we present the analysis of biological age in ~10,000 toxicologic routine blood measurements. The untargeted screening samples obtained from ultra-high pressure liquid chromatography-quadruple time of flight mass spectrometry (UHPLC- QTOF) cover + 300 batches and + 30 months, lack pooled quality controls, lack controlled sample collection, and has previously only been used in small-scale studies. To overcome experimental effects, we developed and tested a custom neural network model and compared it with existing prediction methods. Overall, the neural network was able to predict the chronological age with an rmse of 5.88 years (r
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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 Socratic graph.