ArticleNature medicine2024
Proteomic aging clock predicts mortality and risk of common age-related diseases in diverse populations.
Article in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07742917 (Application of a Precision Lifestyle Medicine Clinical Program for a Sample of IFHAS Screening Cohort), which is not on this map. Cited by 221 papers.
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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
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.
Application of a Precision Lifestyle Medicine Clinical Program for a Sample of IFHAS Screening Cohort
Who cites it
221 citing papers in PubMed.
- Article
- Integrative prediction of Alzheimer's disease and related dementias using multi-omics aging clocks and genetic data.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Observational
- Glycemic status-dependent proteomic signatures of biological aging for health risk prediction.GeroScience · 2026Article
- Deep learning-derived retinal age gap and its associations with lifestyle, systemic, and ocular health in a health screening cohort.GeroScience · 2026Article
- A Circulating Proteomic Signature of Allostatic Load Is Associated with Multisystem Disease and Mortality.Proteomes · 2026Article
- Integration of proteomic aging clocks in a phase 2a clinical trial supports simultaneous geroprotective assessment.Nature biotechnology · 2026Article
- Structural decomposition enables multi-omics dissection of common and organ-specific aging.Science China. Life sciences · 2026Article
- Multimodal deep learning enhances genomic risk prediction for cardiometabolic diseases.Briefings in bioinformatics · 2026Article
- Population proteomics for equitable precision medicine.EMBO molecular medicine · 2026Article
- Combating ageing beyond the cell: Emerging roles of extracellular proteostasis.The FEBS journal · 2026Review
- Histological aging signatures for monitoring tissue-specific aging and disease.Nature medicine · 2026Article
- Aptamer-Based Platforms for Human Aging Biomarkers: Multiplexed Proteomics, Biosensors and Translational Perspectives.International journal of molecular sciences · 2026Review
- Integrating biological aging into clinical practice: a review and path forward for precision longevity medicine.GeroScience · 2026Review
- Proteogenomics in human populations.Nature reviews. Genetics · 2026Review
- Translating cellular aging clocks into disease risk prediction.Cell reports. Medicine · 2026Article
- Plasma Proteomic Profiles Predict Subsequent Obstructive Sleep Apnea Diagnosis in Adults With Metabolic Dysfunction-Associated Steatotic Liver Disease.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Genetic drivers of protein changes over time: Findings, considerations, and approaches in TOPMed cohorts and UK Biobank.bioRxiv : the preprint server for biology · 2026Article
- A machine learning-derived dietary pattern for aging.NPJ science of food · 2026Article
- The Potential Physiologic Mechanisms by Which Early-Life Nutrition May Influence Type 2 Diabetes Pathophysiology in Humans.Annual review of nutrition · 2026Review
- Accelerated Anthropometric Ageing Links Loss of Physical Function and Lower Extremity Body Mass.Journal of cachexia, sarcopenia and muscle · 2026Article
161 more citing papers are in PubMed but not listed here.
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Authors and funding
24 authors.
Funding
Abstract
Circulating plasma proteins play key roles in human health and can potentially be used to measure biological age, allowing risk prediction for age-related diseases, multimorbidity and mortality. Here we developed a proteomic age clock in the UK Biobank (n = 45,441) using a proteomic platform comprising 2,897 plasma proteins and explored its utility to predict major disease morbidity and mortality in diverse populations. We identified 204 proteins that accurately predict chronological age (Pearson r = 0.94) and found that proteomic aging was associated with the incidence of 18 major chronic diseases (including diseases of the heart, liver, kidney and lung, diabetes, neurodegeneration and cancer), as well as with multimorbidity and all-cause mortality risk. Proteomic aging was also associated with age-related measures of biological, physical and cognitive function, including telomere length, frailty index and reaction time. Proteins contributing most substantially to the proteomic age clock are involved in numerous biological functions, including extracellular matrix interactions, immune response and inflammation, hormone regulation and reproduction, neuronal structure and function and development and differentiation. In a validation study involving biobanks in China (n = 3,977) and Finland (n = 1,990), the proteomic age clock showed similar age prediction accuracy (Pearson r = 0.92 and r = 0.94, respectively) compared to its performance in the UK Biobank. Our results demonstrate that proteomic aging involves proteins spanning multiple functional categories and can be used to predict age-related functional status, multimorbidity and mortality risk across geographically and genetically diverse populations.
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