ReviewAging2022
RNA modifications in aging-associated cardiovascular diseases.
Review in Aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 14 citations in OpenAlex.
- Hypertension and epigenetic aging: socio-biological pathways of health disparity.Clinical epigenetics · 2026Article
- Decoding noncoding RNAs in regulating cardiovascular aging and age-related conditions: the emerging landscape.Science China. Life sciences · 2026Review
- Epigenetic Regulation and Molecular Mechanisms in Cardiovascular Diseases: A Review of Recent Advances and Therapeutic Implications.International journal of molecular sciences · 2026Review
- Advances in Detecting RNA Modifications Using Direct RNA Nanopore Sequencing.Advanced genetics (Hoboken, N.J.) · 2025Review
- N7-methylguanosine modification in cancers: from mechanisms to therapeutic potential.Journal of hematology & oncology · 2025Review
- Whole Blood Metabolomic Profiling of Mice with Tacrolimus-Induced Chronic Nephrotoxicity: NADAntioxidants (Basel, Switzerland) · 2025Article
- Non-Coding RNA-Mediated Gene Regulation in Cardiovascular Disorders: Current Insights and Future Directions.Journal of cardiovascular translational research · 2024Review
- Molecular insights into regulatory RNAs in the cellular machinery.Experimental & molecular medicine · 2024Review
- Unlocking the dark matter: noncoding RNAs and RNA modifications in cardiac aging.American journal of physiology. Heart and circulatory physiology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide that bears an enormous healthcare burden and aging is a major contributing factor to CVDs. Functional gene expression network during aging is regulated by mRNAs transcriptionally and by non-coding RNAs epi-transcriptionally. RNA modifications alter the stability and function of both mRNAs and non-coding RNAs and are involved in differentiation, development, and diseases. Here we review major chemical RNA modifications on mRNAs and non-coding RNAs, including N6-adenosine methylation, N1-adenosine methylation, 5-methylcytidine, pseudouridylation, 2' -O-ribose-methylation, and N7-methylguanosine, in the aging process with an emphasis on cardiovascular aging. We also summarize the currently available methods to detect RNA modifications and the bioinformatic tools to study RNA modifications. More importantly, we discussed the specific implication of the RNA modifications on mRNAs and non-coding RNAs in the pathogenesis of aging-associated CVDs, including atherosclerosis, hypertension, coronary heart diseases, congestive heart failure, atrial fibrillation, peripheral artery disease, venous insufficiency, and stroke.
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.