ArticleAging cell2018
Extracellular RNA profiles with human age.
Article in Aging cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 32 citations in OpenAlex.
- Circular RNAs in Blood and Its Clinical Relevance.Advances in experimental medicine and biology · 2025Review
- Release of mitochondrial dsRNA into the cytosol is a key driver of the inflammatory phenotype of senescent cells.Nature communications · 2024Article
- Integrated multi-omic analyses uncover the effects of aging on cell-type regulation in glucose-responsive tissues.Aging cell · 2024Article
- MicroRNAs: circulating biomarkers for the early detection of imperceptible cancers via biosensor and machine-learning advances.Oncogene · 2024Review
- The serum small non-coding RNA (SncRNA) landscape as a molecular biomarker of age associated muscle dysregulation and insulin resistance in older adults.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024Article
- Tissue-specific profiling of age-dependent miRNAomic changes in Caenorhabditis elegans.Nature communications · 2024Article
- Unlocking the Potential of Circulating miRNAs in the Breast Cancer Neoadjuvant Setting: A Systematic Review and Meta-Analysis.Cancers · 2023Review
- Review
- The Potential Use of Mitochondrial Extracellular Vesicles as Biomarkers or Therapeutical Tools.International journal of molecular sciences · 2023Review
- Potential Role of Circulating miRNAs for Breast Cancer Management in the Neoadjuvant Setting: A Road to Pave.Cancers · 2023Review
- The emerging role of circular RNAs in Parkinson's disease.Frontiers in neuroscience · 2023Review
- Circular RNAs: New players involved in the regulation of cognition and cognitive diseases.Frontiers in neuroscience · 2023Review
- Circular RNA Involvement in Aging and Longevity.Current genomics · 2022Review
- Multifaceted roles of extracellular RNAs in different diseases.Military Medical Research · 2022Review
- Circulating microRNAs: Challenges with their use as liquid biopsy biomarkers.Cancer biomarkers : section A of Disease markers · 2022Review
- Friends and foes: Extracellular vesicles in aging and rejuvenation.FASEB bioAdvances · 2021Review
- Article
- Roles of tRNA metabolism in aging and lifespan.Cell death & disease · 2021Review
- Peripheral Circulating Exosomal miRNAs Potentially Contribute to the Regulation of Molecular Signaling Networks in Aging.International journal of molecular sciences · 2020Article
- Extracellular vesicles and extracellular RNA in aging and age-related disease.Translational medicine of aging · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Circulating extracellular RNAs (exRNAs) are potential biomarkers of disease. We thus hypothesized that age-related changes in exRNAs can identify age-related processes. We profiled both large and small RNAs in human serum to investigate changes associated with normal aging. exRNA was sequenced in 13 young (30-32 years) and 10 old (80-85 years) African American women to identify all RNA transcripts present in serum. We identified age-related differences in several RNA biotypes, including mitochondrial transfer RNAs, mitochondrial ribosomal RNA, and unprocessed pseudogenes. Age-related differences in unique RNA transcripts were further validated in an expanded cohort. Pathway analysis revealed that EIF2 signaling, oxidative phosphorylation, and mitochondrial dysfunction were among the top pathways shared between young and old. Protein interaction networks revealed distinct clusters of functionally-related protein-coding genes in both age groups. These data provide timely and relevant insight into the exRNA repertoire in serum and its change with aging.
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.