ArticleAging2020
Multi-omics network analysis reveals distinct stages in the human aging progression in epidermal tissue.
Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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
25 citing papers in PubMed, 34 citations in OpenAlex.
- Concomitant DNA methylation and transcriptome signatures define epidermal responses to acute solar UV radiation.Scientific reports · 2020Trial
- Embracing non-linearity in human ageing.Nature reviews. Genetics · 2026Review
- Review
- Unraveling the complexity of skin's biological aging utilizing epigenetic clocks.Clinical epigenetics · 2026Article
- Gene expression and co-expression heterogeneity patterns and biodemography analyses during the cell cycle encourage aging studies in archaea.GeroScience · 2026Article
- Sunscreen application substantially mitigates molecular perturbations induced by repetitive UV exposure and maintains healthy skin.Scientific reports · 2026Article
- Nutrition meets nephrology in head and neck cancer: the predictive impact of body composition on the onset of acute kidney disease.Frontiers in oncology · 2026Article
- Age-Related Transcriptomic Changes in the Vermiform Appendix.International journal of molecular sciences · 2025Article
- Article
- A computational framework for detecting inter-tissue gene-expression coordination changes with aging.Scientific reports · 2025Article
- Metformin Treatment of Macrophages Increases Microvessel Growth in Three-Dimensional Hydrogel Coculture.Tissue engineering. Part A · 2024Article
- Nonlinear DNA methylation trajectories in aging male mice.Nature communications · 2024Article
- voyAGEr, a free web interface for the analysis of age-related gene expression alterations in human tissues.eLife · 2024Article
- Interactomics: Dozens of Viruses, Co-evolving With Humans, Including the Influenza A Virus, may Actively Distort Human Aging.Molecular biology and evolution · 2023Article
- Identification of dihydromyricetin as a natural DNA methylation inhibitor with rejuvenating activity in human skin.Frontiers in aging · 2023Article
- Development of an epigenetic clock to predict visual age progression of human skin.Frontiers in aging · 2023Article
- The landscape of aging.Science China. Life sciences · 2022Review
- Measuring biological age using omics data.Nature reviews. Genetics · 2022Review
- Article
- GPCRs Are Optimal Regulators of Complex Biological Systems and Orchestrate the Interface between Health and Disease.International journal of molecular sciences · 2021Review
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, reports of non-linear regulations in age- and longevity-associated biological processes have been accumulating. Inspired by methodological advances in precision medicine involving the integrative analysis of multi-omics data, we sought to investigate the potential of multi-omics integration to identify distinct stages in the aging progression from
Indexed as
Identifiers
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.