↓ Skip to main content

Emerging roles of BMP9 and BMP10 in hereditary hemorrhagic telangiectasia

Overview of attention for article published in Frontiers in Genetics, January 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
101 Dimensions

Readers on

mendeley
127 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Emerging roles of BMP9 and BMP10 in hereditary hemorrhagic telangiectasia
Published in
Frontiers in Genetics, January 2015
DOI 10.3389/fgene.2014.00456
Pubmed ID
Authors

Emmanuelle Tillet, Sabine Bailly

Abstract

Rendu-Osler-Weber syndrome, also known as hereditary hemorrhagic telangiectasia (HHT), is an autosomal dominant vascular disorder. Three genes are causally related to HHT: the ENG gene encoding endoglin, a co-receptor of the TGFβ family (HHT1), the ACVRL1 gene encoding ALK1 (activin receptor-like kinase 1), a type I receptor of the TGFβ family (HHT2), and the SMAD4 gene, encoding a transcription factor critical for this signaling pathway. Bone morphogenetic proteins (BMPs) are growth factors of the TGFβ family. Among them, BMP9 and BMP10 have been shown to bind directly with high affinity to ALK1 and endoglin, and BMP9 mutations have recently been linked to a vascular anomaly syndrome that has phenotypic overlap with HHT. BMP9 and BMP10 are both circulating cytokines in blood, and the current working model is that BMP9 and BMP10 maintain a quiescent endothelial state that is dependent on the level of ALK1/endoglin activation in endothelial cells. In accordance with this model, to explain the etiology of HHT we hypothesize that a deficient BMP9/BMP10/ALK1/endoglin pathway may lead to re-activation of angiogenesis or a greater sensitivity to an angiogenic stimulus. Resulting endothelial hyperproliferation and hypermigration may lead to vasodilatation and generation of an arteriovenous malformation (AVM). HHT would thus result from a defect in the angiogenic balance. This review will focus on the emerging role played by BMP9 and BMP10 in the development of this disease and the therapeutic approaches that this opens.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Portugal 1 <1%
Belgium 1 <1%
Unknown 124 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 17%
Student > Ph. D. Student 17 13%
Other 11 9%
Student > Master 11 9%
Student > Bachelor 7 6%
Other 20 16%
Unknown 40 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 38 30%
Medicine and Dentistry 16 13%
Agricultural and Biological Sciences 10 8%
Pharmacology, Toxicology and Pharmaceutical Science 7 6%
Engineering 5 4%
Other 8 6%
Unknown 43 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 January 2015.
All research outputs
#18,388,295
of 22,776,824 outputs
Outputs from Frontiers in Genetics
#7,019
of 11,759 outputs
Outputs of similar age
#255,435
of 352,269 outputs
Outputs of similar age from Frontiers in Genetics
#100
of 121 outputs
Altmetric has tracked 22,776,824 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,759 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 352,269 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.