ArticleCommunications biology2021
Predicting the probability of death using proteomics.
Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Forensic Impact of the Omics Science Involved in the Wound: A Systematic Review.Frontiers in medicine · 2021Pooled it
- ProtFI, an efficient frailty-trained proteomics-based biomarker of aging, robustly predicts age-related decline.Cell reports methods · 2026Article
- Bio-Inspired Artificial Intelligence Multimorbidity Score for Human-Machine Clinical Risk Stratification.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Genetic profiling of the circulating proteome in common diseases suggests causal proteins and improves risk prediction.Nature communications · 2025Article
- Proteomic predictors of mortality among people with Coronary Artery Disease.American journal of preventive cardiology · 2025Article
- Proteomics and the Risk of Incident Embolic and Thrombotic Stroke.Annals of neurology · 2025Article
- Two-phase model of ageing in mice for improved identification of age-related and late life metabolic decline.BMC biology · 2025Article
- Adipose tissue gene expression and longitudinal clinical phenotypes are early biomarkers of lipid-regulating drug usage.Scientific reports · 2025Article
- Age-Associated Increase in Growth Differentiation Factor 15 Levels Correlates With Central Arterial Stiffness and Predicts All-Cause Mortality in a Sardinian Population Cohort.Journal of the American Heart Association · 2025Article
- Targeted plasma proteomics reveals organ damage signatures of AIDS- and noncommunicable disease-related deaths in people with HIV.Nature communications · 2025Article
- Article
- Association of plasma proteomics with mortality in individuals with and without type 2 diabetes: Results from two population-based KORA cohort studies.BMC medicine · 2024Article
- A protein risk score for all-cause and respiratory-specific mortality in non-Hispanic white and African American individuals who smoke.Scientific reports · 2024Article
- Proteomic aging clock (PAC) predicts age-related outcomes in middle-aged and older adults.Aging cell · 2024Article
- Deep learning-based prediction of one-year mortality in Finland is an accurate but unfair aging marker.Nature aging · 2024Article
- Blood protein assessment of leading incident diseases and mortality in the UK Biobank.Nature aging · 2024Article
- Proteomic aging clock (PAC) predicts age-related outcomes in middle-aged and older adults.medRxiv : the preprint server for health sciences · 2024Article
- Seven knowledge gaps in modern biogerontology.Biogerontology · 2024Article
- Validation of biomarkers of aging.Nature medicine · 2024Review
- Keeping translational research grounded in human biology.The Journal of clinical investigation · 2024Article
Corrections and comments
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Authors and funding
19 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predicting all-cause mortality risk is challenging and requires extensive medical data. Recently, large-scale proteomics datasets have proven useful for predicting health-related outcomes. Here, we use measurements of levels of 4,684 plasma proteins in 22,913 Icelanders to develop all-cause mortality predictors both for short- and long-term risk. The participants were 18-101 years old with a mean follow up of 13.7 (sd. 4.7) years. During the study period, 7,061 participants died. Our proposed predictor outperformed, in survival prediction, a predictor based on conventional mortality risk factors. We could identify the 5% at highest risk in a group of 60-80 years old, where 88% died within ten years and 5% at the lowest risk where only 1% died. Furthermore, the predicted risk of death correlates with measures of frailty in an independent dataset. Our results show that the plasma proteome can be used to assess general health and estimate the risk of death.
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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.