ReviewTranslational research : the journal of laboratory and clinical medicine2015
Clinical applications of epigenetics in cardiovascular disease: the long road ahead.
Review in Translational research : the journal of laboratory and clinical medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- No effect of weight loss on LINE-1 methylation levels in peripheral blood leukocytes from postmenopausal overweight women.Obesity (Silver Spring, Md.) · 2014Trial
- Computational Biology in the Discovery of Biomarkers in the Diagnosis, Treatment and Management of Cardiovascular Diseases.Cardiology and cardiovascular medicine · 2024Article
- Emerging Role and Mechanism of theBiomolecules · 2023Review
- Machine learning and clinical epigenetics: a review of challenges for diagnosis and classification.Clinical epigenetics · 2020Review
- The epigenetic landscape in the cardiovascular complications of diabetes.Journal of endocrinological investigation · 2019Review
- Type 2 Diabetes Mellitus and Cardiovascular Disease: Genetic and Epigenetic Links.Frontiers in endocrinology · 2018Review
- Article
- Advances in Integrating Traditional and Omic Biomarkers When Analyzing the Effects of the Mediterranean Diet Intervention in Cardiovascular Prevention.International journal of molecular sciences · 2016Review
- Epidemiology of cardiovascular disease: recent novel outlooks on risk factors and clinical approaches.Expert review of cardiovascular therapy · 2016Review
- Nutrigenomics, the Microbiome, and Gene-Environment Interactions: New Directions in Cardiovascular Disease Research, Prevention, and Treatment: A Scientific Statement From the American Heart Association.Circulation. Cardiovascular genetics · 2016Review
- Epigenetic pathways regulating bone homeostasis: potential targeting for intervention of skeletal disorders.Current osteoporosis reports · 2014Review
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.
Funding
Abstract
Epigenetic processes, defined as heritable changes in gene expression that occur without changes to the DNA sequence, have emerged as a promising area of cardiovascular disease research. Epigenetic information transcends that of the genotype alone and provides for an integrated etiologic picture of cardiovascular disease pathogenesis because of the interaction of the epigenome with the environment. Epigenetic biomarkers, which include DNA methylation, histone modifications, and RNA-based mechanisms, are both modifiable and cell-type specific, which makes them not only responsive to the environment, but also an attractive target for drug development. However, the enthusiasm surrounding possible applications of cardiovascular epigenetics currently outpaces available evidence. In this review, the authors synthesize the evidence linking epigenetic changes with cardiovascular disease, emphasizing the gap between the translational potential and the clinical reality of cardiovascular epigenetics.
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.