ReviewBioMed research international2017
The Management of Cardiovascular Risk through Epigenetic Biomarkers.
Review in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05134597 (Th17- Gene Expression Profile in Patients With Chronic Venous Leg Insufficiency and Ulcers), which is not on this map. Cited by 11 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.
Th17- Gene Expression Profile in Patients With Chronic Venous Leg Insufficiency and Ulcers: Genetical and Clinical Outcomes
Who cites it
11 citing papers in PubMed, 21 citations in OpenAlex.
- A Pilot Study on the Effects of l-Carnitine and Trimethylamine-N-Oxide on Platelet Mitochondrial DNA Methylation and CVD Biomarkers in Aged Women.International journal of molecular sciences · 2020Trial
- Omics Science and Social Aspects in Detecting Biomarkers for Diagnosis, Risk Prediction, and Outcomes of Carotid Stenosis.Biomolecules · 2024Review
- Panoramic on Epigenetics in Coronary Artery Disease and the Approach of Personalized Medicine.Biomedicines · 2023Review
- A Unified Model of Age-Related Cardiovascular Disease.Biology · 2022Review
- Association of Serum Level and DNA Methylation Status of Brain-Derived Neurotrophic Factor with the Severity of Coronary Artery Disease.Indian journal of clinical biochemistry : IJCB · 2022Article
- Elucidation of Epigenetic Landscape in Coronary Artery Disease: A Review on Basic Concept to Personalized Medicine.Epigenetics insights · 2021Review
- Epigenetic Changes Associated With Anthracycline-Induced Cardiotoxicity.Clinical and translational science · 2021Review
- Epigenetic Mechanisms Involved in the Cardiovascular Toxicity of Anticancer Drugs.Frontiers in cardiovascular medicine · 2021Review
- Precision Medicine and Precision Nursing: The Era of Biomarkers and Precision Health.International journal of general medicine · 2020Review
- miR-223 and other miRNA's evaluation in chronic kidney disease: Innovative biomarkers and therapeutic tools.Non-coding RNA research · 2019Review
- Altered DNA Methylation of Long Noncoding RNA uc.167 Inhibits Cell Differentiation in Heart Development.BioMed research international · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epigenetic sciences study heritable changes in gene expression not related to changes in the genomic DNA sequence. The most important epigenetic mechanisms are DNA methylation, posttranslational histone modification, and gene regulation by noncoding RNAs, such as microRNAs (miRNAs) and long noncoding RNAs (lncRNAs). Cardiovascular diseases (CVD) are responsible for at least one-third of premature deaths worldwide and represent a heavy burden of healthcare expenditure. We will discuss in this review the most recent findings dealing with epigenetic alterations linked to cardiovascular physiopathology in patients. A particular focus will be put on the way these changes can be translated in the clinic, to develop innovative and groundbreaking biomarkers in CVD field.
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.