Trial reportScientific reports2015
Protein profiling reveals consequences of lifestyle choices on predicted biological aging.
Trial report in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- Proteomic Markers of Aging and Longevity: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- Associations of 6600 SomaScan proteins with demographic, lifestyle, environmental and health characteristics in Chinese adults.Scientific reports · 2026Article
- The BHARAT study: a multi-modal, multi-omics investigation of aging signatures in the Indian population.Aging · 2026Observational
- Longitudinal protein profiling of blood during childhood into early adulthood.Nature communications · 2026Article
- OMICmAge quantifies biological age by integrating multi-omics with electronic medical records.Nature aging · 2026Article
- Molecular markers, mechanisms and metrics of biological aging: a scoping review.Frontiers in aging · 2026Review
- Cerebrospinal fluid proteomic signatures in cognitively normal individuals identify distinct clusters linked to neurodegeneration.Nature aging · 2025Article
- Perinatal Exposure to Lead or Diethylhexyl Phthalate in Mice: Sex-Specific Effects on Cardiac DNA Methylation and Gene Expression across Time.Environmental health perspectives · 2025Article
- Acute Impact of Nonoptimal Ambient Temperatures on Plasma Levels of 3000 Proteins in Chinese Adults.Environmental science & technology · 2025Article
- Exploring the impact of age, sex and life experiences on plasma inflammatory profiles through comparative proteomics.Frontiers in immunology · 2025Article
- Model Organisms in Aging Research: Evolution of Database Annotation and Ortholog Discovery.Genes · 2024Article
- OMICmAge: An integrative multi-omics approach to quantify biological age with electronic medical records.bioRxiv : the preprint server for biology · 2023Article
- Age prediction from human blood plasma using proteomic and small RNA data: a comparative analysis.Aging · 2023Article
- Pre-diagnostic blood biomarkers for adult glioma.Frontiers in oncology · 2023Review
- Human age reversal: Fact or fiction?Aging cell · 2022Review
- Article
- The Role of Immune Cells in Oxi-Inflamm-Aging.Cells · 2021Review
- Review
- A randomized trial of physical activity for cognitive functioning in breast cancer survivors: Rationale and study design of I Can! Improving Cognition After Cancer.Contemporary clinical trials · 2021Article
- Plasma proteins associated with cardiovascular death in patients with chronic coronary heart disease: A retrospective study.PLoS medicine · 2021Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ageing is linked to a number of changes in how the body and its organs function. On a molecular level, ageing is associated with a reduction of telomere length, changes in metabolic and gene-transcription profiles and an altered DNA-methylation pattern. Lifestyle factors such as smoking or stress can impact some of these molecular processes and thereby affect the ageing of an individual. Here we demonstrate by analysis of 77 plasma proteins in 976 individuals, that the abundance of circulating proteins accurately predicts chronological age, as well as anthropometrical measurements such as weight, height and hip circumference. The plasma protein profile can also be used to identify lifestyle factors that accelerate and decelerate ageing. We found smoking, high BMI and consumption of sugar-sweetened beverages to increase the predicted chronological age by 2-6 years, while consumption of fatty fish, drinking moderate amounts of coffee and exercising reduced the predicted age by approximately the same amount. This method can be applied to dried blood spots and may thus be useful in forensic medicine to provide basic anthropometrical measures for an individual based on a biological evidence sample.
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What OpenQuestion 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 OpenQuestion graph.