Evidence map›Paper›PMID 39700429›Full record

ArticleThe British journal of dermatology2025

Ribosomal protein L36-mediated selective loading of microRNA-4432 into extracellular vesicles contributes to perivascular cell dysfunction in venous malformations.

Gao-Hong Chen, Jian-Gang Ren, Hou-Fu Xia, He-Jing Zhang, Kui-Ming Wang, Lin-Zhou Zhang, Gang Chen

Abstract read
PubMed Publisher
In one paragraph

Article in The British journal of dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Gao-Hong ChenState Key Laboratory of Oral and Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan, China.
Jian-Gang RenState Key Laboratory of Oral and Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan, China.
Hou-Fu XiaState Key Laboratory of Oral and Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan, China.
He-Jing ZhangState Key Laboratory of Oral and Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan, China.
Kui-Ming WangState Key Laboratory of Oral and Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan, China.
Lin-Zhou ZhangState Key Laboratory of Oral and Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan, China.
Gang ChenState Key Laboratory of Oral and Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan, China.ORCID 0000-0003-3332-3511

Funding

Fundamental Research Funds for the Central Universities 2042022dx0003Hubei Provincial Science and Technology Innovation Base 2021CSA065National Natural Science Foundation of China 81870361
6 · The paper itself

Abstract

backgroundVenous malformations (VMs), predominantly arising from activating mutations of TIE2 in endothelial cells (ECs), are characterized by dilated and tortuous vessels with a paucity of perivascular cells (PCs). The mechanisms of interaction between mutant ECs and PCs remain largely elusive.

objectivesTo investigate the characteristics of extracellular vesicles (EVs) from VM ECs, especially the microRNAs (miRNAs) carried and their roles in crosstalk between ECs and PCs in VM pathogenesis.

methodsmiRNA profiles of human umbilical vein endothelial cells overexpressing TIE2L914F (L914F cells) and TIE2WT [wildtype (WT) cells], along with their EVs, were analysed by RNA sequencing. In vitro studies using umbilical cord stem cells (UCSCs) were done to carry out functional assays of VM EVs and their enriched miRNA-4432 (miR-4432). miRNA pulldown and RNA interference techniques were used to identify the sorting regulator of miR-4432 into VM EVs.

resultsRNA secretion was upregulated in L914F EVs vs. WT EVs. miRNA sequencing revealed a distinct profile of L914F EVs vs. L914F cells, WT cells and WT EVs, identifying miR-4432 as being preferentially encapsulated in EVs from L914F cells. Functional assays demonstrated that VM EVs and EV-carried miR-4432 inhibited the differentiation, adhesion and proliferation of UCSCs. Furthermore, ribosomal protein L36 (RPL36) was identified as an RNA binding protein and sorting regulator of miR-4432 during the EV secretion process in L914F cells.

conclusionsThis study, for the first time, identified an interaction between VM ECs and PCs via EVs, and offers valuable data on the miRNA profiles of VM ECs and normal ECs, along with their EVs. Our findings suggest that the RPL36-mediated selective loading of miR-4432 into EVs may contribute to the aberrant PC coverage in VMs, providing novel insights into VM pathogenesis and potential treatment strategies.

Indexed as

Extracellular VesiclesMicroRNAsRibosomal ProteinsVascular MalformationsCells, CulturedHumansHuman Umbilical Vein Endothelial CellsMicroRNAsRibosomal Proteins

Identifiers

PMID39700429

What OpenQuestion holds

Textmetadata
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.