Evidence map›Paper›PMID 31170876›Full record

ArticleJournal of the American Heart Association2019

RNA Sequencing Reveals the Activation of Wnt Signaling in Low Flow Rate Brain Arteriovenous Malformations.

Ran Huo, Weilun Fu, Hao Li, Yuming Jiao, Zihan Yan, Linjian Wang, Jie Wang, Shuo Wang, Yong Cao, Jizong Zhao

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Simplex cerebral cavernous malformations withFrontiers in neurology · 2022
    Article
  6. Article
  7. Pathogenesis of non-hereditary brain arteriovenous malformation and therapeutic implications.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2020
    Review
  8. Article
  9. Article
  10. Review
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 7 institutions in 1 country.

Ran Huo1 Department of Neurosurgery Beijing Tiantan Hospital Capital Medical University Beijing China.
Weilun Fu1 Department of Neurosurgery Beijing Tiantan Hospital Capital Medical University Beijing China.
Hao Li1 Department of Neurosurgery Beijing Tiantan Hospital Capital Medical University Beijing China.
Yuming Jiao1 Department of Neurosurgery Beijing Tiantan Hospital Capital Medical University Beijing China.
Zihan Yan1 Department of Neurosurgery Beijing Tiantan Hospital Capital Medical University Beijing China.
Linjian Wang5 Savaid Medical School University of the Chinese Academy of Sciences Beijing China.
Jie Wang1 Department of Neurosurgery Beijing Tiantan Hospital Capital Medical University Beijing China.
Shuo Wang1 Department of Neurosurgery Beijing Tiantan Hospital Capital Medical University Beijing China.
Yong Cao1 Department of Neurosurgery Beijing Tiantan Hospital Capital Medical University Beijing China.
Jizong Zhao1 Department of Neurosurgery Beijing Tiantan Hospital Capital Medical University Beijing China.
Chinese Institute for Brain Research · CNBeijing Institute of Neurosurgery · CNBeijing Tian Tan Hospital · CNCapital Medical University · CNChina Academy of Chinese Medical Sciences · CNChinese Academy of Sciences · CNNational Clinical Research Center for Digestive Diseases · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The blood flow rate of brain arteriovenous malformations ( bAVM s) is an important clinical characteristic closely associated with the hemorrhage risk and radiosurgery obliteration rate of bAVM s. However, the underlying molecular properties remain unclear. To identify potential key molecules, signaling pathways, and vascular cell types involved, we compared gene expression profiles between bAVM s with high flow rates and low flow rates ( LFR ) and validated the functions of selected key molecules in vitro. Methods and Results We performed RNA -sequencing analysis on 51 samples, including 14 high flow rate bAVM s and 37 LFR bAVM s. Functional pathway analysis was performed to identify potential signals influencing the flow rate phenotype of bAVM s. Candidate genes were investigated in bAVM specimens by immunohistochemical staining. Migration, tube formation, and proliferation assays were used to test the effects of candidate genes on the phenotypic properties of cultured human umbilical vein endothelial cells and human brain vascular smooth muscle cells. We identified 250 upregulated and 118 downregulated genes in LFR bAVM s compared with high flow rate bAVM s. Wnt signaling was activated in the LFR group via upregulation of FZD 10 and MYOC . Immunohistochemical staining showed that vascular endothelial and smooth muscle cells of LFR bAVM s exhibited increased FZD 10 and MYOC expression. Experimentally elevating these genes promoted human umbilical vein endothelial cells and migration and tube formation by activating canonical Wnt signaling in vitro. Conclusions Our results suggest that canonical Wnt signaling mediated by FZD 10 and MYOC is activated in vascular endothelial and smooth muscle cells in LFR bAVM s.

Indexed as

Cerebrovascular CirculationRegional Blood FlowSequence Analysis, RNAAdolescentAdultFemaleGene ExpressionHumansIntracranial Arteriovenous MalformationsMaleMiddle AgedWnt Signaling PathwayYoung Adultgene expressionhemodynamicsintracranial arteriovenous malformationsWnt signaling pathway

Identifiers

PMID31170876
PMCPMC6645621
OpenAlexW2949862301

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.