ReviewFrontiers in physiology2021
Proteomics and Epidemiological Models of Human Aging.
Review in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Retinal biomarkers for early Alzheimer's detection: a systematic review of optical coherence tomography (OCT) findings.BMJ open ophthalmology · 2026Pooled it
- Trial
- Associations of proteomic age clocks with lifestyle risk factors, incident chronic diseases and mortality in two European cohorts.Nature aging · 2026Article
- Proteomic aging clocks in epidemiological studies: advances, applications and prospects.Nature aging · 2026Review
- Longitudinal protein profiling of blood during childhood into early adulthood.Nature communications · 2026Article
- Proteomics research in aging: a bibliometric and visualized analysis of evolution and emerging trends (1998-2024 and early 2025).Biogerontology · 2025Article
- Organ-specific proteomic aging and cognitive performance: Implications for risk prediction of Alzheimer's disease and related dementias in older adults.The journal of prevention of Alzheimer's disease · 2025Article
- Deep and Quantitative Proteomic Profiling of Low Volume Mouse Serum Across the Lifespan.Research square · 2025Article
- Associations of proteomic age with mortality and incident chronic diseases in the European Prospective Investigation into Cancer and Nutrition (EPIC).Research square · 2025Article
- The mouse Social Frailty Index (mSFI): a novel behavioral assessment for impaired social functioning in aging mice.GeroScience · 2025Article
- Biomarkers of Aging and Relevant Evaluation Techniques: A Comprehensive Review.Aging and disease · 2024Review
- Leveraging the Metaverse for Enhanced Longevity as a Component of Health 4.0.Mayo Clinic proceedings. Digital health · 2024Review
- Cross-sectional analysis of healthy individuals across decades: Aging signatures across multiple physiological compartments.Aging cell · 2024Article
- Article
- Hematopoietic Stem Cells and the Immune System in Development and Aging.International journal of molecular sciences · 2023Review
- Blood Biomarkers for Healthy Aging.Gerontology · 2023Review
- Progeria and Aging-Omics Based Comparative Analysis.Biomedicines · 2022Article
- Longitudinal phenotypic aging metrics in the Baltimore Longitudinal Study of Aging.Nature aging · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Human aging is associated with a decline of physical and cognitive function and high susceptibility to chronic diseases, which is influenced by genetics, epigenetics, environmental, and socio-economic status. In order to identify the factors that modulate the aging process, established measures of aging mechanisms are required, that are both robust and feasible in humans. It is also necessary to connect these measures to the phenotypes of aging and their functional consequences. In this review, we focus on how this has been addressed from an epidemiologic perspective using proteomics. The key aspects of epidemiological models of aging can be incorporated into proteomics and other omics which can provide critical detailed information on the molecular and biological processes that change with age, thus unveiling underlying mechanisms that drive multiple chronic conditions and frailty, and ideally facilitating the identification of new effective approaches for prevention and treatment.
Indexed as
Identifiers
What Socratic holds
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.