ArticleAging cell2020
Data mining of human plasma proteins generates a multitude of highly predictive aging clocks that reflect different aspects of aging.
Article in Aging cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
72 citing papers in PubMed, 2 syntheses or guidelines pooled it, 100 citations in OpenAlex.
- Proteomic Markers of Aging and Longevity: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- Pooled it
- Investigational eIF2B activator DNL343 modulates the integrated stress response in preclinical models of TDP-43 pathology and individuals with ALS in a randomized clinical trial.Nature communications · 2025Trial
- Combating ageing beyond the cell: Emerging roles of extracellular proteostasis.The FEBS journal · 2026Review
- Integrating biological aging into clinical practice: a review and path forward for precision longevity medicine.GeroScience · 2026Review
- Circulating extracellular vesicles in plasma carry accessible molecular signatures of aging in mice.bioRxiv : the preprint server for biology · 2026Article
- IDEAL-Age: an interpretable deep learning framework for single-cell resolution profiling of immunological aging.Genome biology · 2026Article
- Review
- A lipidomic based metabolic age score for monitoring the effects of lifestyle and diet on metabolic disease risk.Research square · 2026Article
- The Evolving Landscape of Clinical Aging Clocks: From Epigenetic to Multi-Omics Integration.Aging cell · 2026Review
- Proteomic aging clocks in epidemiological studies: advances, applications and prospects.Nature aging · 2026Review
- The BHARAT study: a multi-modal, multi-omics investigation of aging signatures in the Indian population.Aging · 2026Observational
- An Extracellular Matrix Aging Clock Based on Circulating Matrisome Proteins Predicts Biological Aging and Disease.Aging cell · 2026Article
- OMICmAge quantifies biological age by integrating multi-omics with electronic medical records.Nature aging · 2026Article
- Advances in multi-omics and aging clock research for female reproductive health and aging.MedScience · 2026Review
- Artificial intelligence approaches in biological age prediction: current status and challenges.British journal of biomedical science · 2026Review
- Proteomic aging clocks and the risk of mortality among long-term cancer survivors.Journal of the National Cancer Institute · 2026Article
- A Distinct Immunological Signature in Late-Onset Myasthenia Gravis: Insights from an Exploratory Proteomics Study.Annals of neurology · 2026Article
- Precision geronutrition: personalized nutritional strategies to extend healthy lifespan.BMB reports · 2026Review
- Unveiling proteomic and peptide-level modifications in cerebrospinal fluid and plasma in normal cognitive aging.Communications medicine · 2025Article
12 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
We previously identified 529 proteins that had been reported by multiple different studies to change their expression level with age in human plasma. In the present study, we measured the q-value and age coefficient of these proteins in a plasma proteomic dataset derived from 4263 individuals. A bioinformatics enrichment analysis of proteins that significantly trend toward increased expression with age strongly implicated diverse inflammatory processes. A literature search revealed that at least 64 of these 529 proteins are capable of regulating life span in an animal model. Nine of these proteins (AKT2, GDF11, GDF15, GHR, NAMPT, PAPPA, PLAU, PTEN, and SHC1) significantly extend life span when manipulated in mice or fish. By performing machine-learning modeling in a plasma proteomic dataset derived from 3301 individuals, we discover an ultra-predictive aging clock comprised of 491 protein entries. The Pearson correlation for this clock was 0.98 in the learning set and 0.96 in the test set while the median absolute error was 1.84 years in the learning set and 2.44 years in the test set. Using this clock, we demonstrate that aerobic-exercised trained individuals have a younger predicted age than physically sedentary subjects. By testing clocks associated with 1565 different Reactome pathways, we also show that proteins associated with signal transduction or the immune system are especially capable of predicting human age. We additionally generate a multitude of age predictors that reflect different aspects of aging. For example, a clock comprised of proteins that regulate life span in animal models accurately predicts age.
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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.