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Genetic and epigenetic mechanisms in the development of arteriovenous malformations in the brain

Overview of attention for article published in Clinical Epigenetics, July 2016
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Title
Genetic and epigenetic mechanisms in the development of arteriovenous malformations in the brain
Published in
Clinical Epigenetics, July 2016
DOI 10.1186/s13148-016-0248-8
Pubmed ID
Authors

Jaya Mary Thomas, Sumi Surendran, Mathew Abraham, Arumugam Rajavelu, Chandrasekharan C. Kartha

Abstract

Vascular malformations are developmental congenital abnormalities of the vascular system which may involve any segment of the vascular tree such as capillaries, veins, arteries, or lymphatics. Arteriovenous malformations (AVMs) are congenital vascular lesions, initially described as "erectile tumors," characterized by atypical aggregation of dilated arteries and veins. They may occur in any part of the body, including the brain, heart, liver, and skin. Severe clinical manifestations occur only in the brain. There is absence of normal vascular structure at the subarteriolar level and dearth of capillary bed resulting in aberrant arteriovenous shunting. The causative factor and pathogenic mechanisms of AVMs are unknown. Importantly, no marker proteins have been identified for AVM. AVM is a high flow vascular malformation and is considered to develop because of variability in the hemodynamic forces of blood flow. Altered local hemodynamics in the blood vessels can affect cellular metabolism and may trigger epigenetic factors of the endothelial cell. The genes that are recognized to be associated with AVM might be modulated by various epigenetic factors. We propose that AVMs result from a series of changes in the DNA methylation and histone modifications in the genes connected to vascular development. Aberrant epigenetic modifications in the genome of endothelial cells may drive the artery or vein to an aberrant phenotype. This review focuses on the molecular pathways of arterial and venous development and discusses the role of hemodynamic forces in the development of AVM and possible link between hemodynamic forces and epigenetic mechanisms in the pathogenesis of AVM.

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The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 9 13%
Researcher 8 12%
Student > Master 8 12%
Student > Ph. D. Student 6 9%
Student > Bachelor 5 7%
Other 13 19%
Unknown 20 29%
Readers by discipline Count As %
Medicine and Dentistry 16 23%
Neuroscience 8 12%
Agricultural and Biological Sciences 8 12%
Biochemistry, Genetics and Molecular Biology 4 6%
Nursing and Health Professions 2 3%
Other 6 9%
Unknown 25 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 September 2016.
All research outputs
#7,486,178
of 22,881,154 outputs
Outputs from Clinical Epigenetics
#555
of 1,259 outputs
Outputs of similar age
#128,208
of 364,027 outputs
Outputs of similar age from Clinical Epigenetics
#15
of 21 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,259 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 364,027 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.