ArticleAging2023
Age prediction from human blood plasma using proteomic and small RNA data: a comparative analysis.
Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.
- Advancing Forensic Human Chronological Age Estimation: Biochemical, Genetic, and Epigenetic Approaches from the Last 15 Years: A Systematic Review.International journal of molecular sciences · 2025Pooled it
- Proteomic Markers of Aging and Longevity: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- Novel RNA transcript signatures for accurate age prediction using RNA profiling.International journal of legal medicine · 2026Article
- Proteomics of aging: biomarkers for physiological systems and diseases.Frontiers in aging · 2026Review
- Article
- Toward precision interventions and metrics of inflammaging.Nature aging · 2025Review
- Plasma microRNA signatures of aging and their links to health outcomes and mortality: findings from a population-based cohort study.Genome medicine · 2025Article
- Development of a microRNA-Based age estimation model using whole-blood microRNA expression profiling.Non-coding RNA research · 2025Article
- Regulation of energy metabolism by non-coding RNAs in livestock species: a review.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2025Review
- Model Organisms in Aging Research: Evolution of Database Annotation and Ortholog Discovery.Genes · 2024Article
- Elucidation of how the Mir-23-27-24 cluster regulates development and aging.Experimental & molecular medicine · 2024Review
- MicroRNA biogenesis pathway alterations in aging.Extracellular vesicles and circulating nucleic acids · 2023Review
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 at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aging clocks, built from comprehensive molecular data, have emerged as promising tools in medicine, forensics, and ecological research. However, few studies have compared the suitability of different molecular data types to predict age in the same cohort and whether combining them would improve predictions. Here, we explored this at the level of proteins and small RNAs in 103 human blood plasma samples. First, we used a two-step mass spectrometry approach measuring 612 proteins to select and quantify 21 proteins that changed in abundance with age. Notably, proteins increasing with age were enriched for components of the complement system. Next, we used small RNA sequencing to select and quantify a set of 315 small RNAs that changed in abundance with age. Most of these were microRNAs (miRNAs), downregulated with age, and predicted to target genes related to growth, cancer, and senescence. Finally, we used the collected data to build age-predictive models. Among the different types of molecules, proteins yielded the most accurate model (R² = 0.59 ± 0.02), followed by miRNAs as the best-performing class of small RNAs (R² = 0.54 ± 0.02). Interestingly, the use of protein and miRNA data together improved predictions (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 OpenQuestion graph.