Evidence map›Paper›PMID 34502358›Full record

ArticleInternational journal of molecular sciences2021

Identification of Exosomal MicroRNA Signature by Liquid Biopsy in Hereditary Hemorrhagic Telangiectasia Patients.

Ana Pozo-Agundo, Nerea Villaescusa, Jordi Martorell-Marugán, Olga Soriano, Socorro Leyva, Ana Belén Jódar-Reyes, Luisa María Botella, Pedro Carmona-Sáez, Francisco Javier Blanco

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Emerging New Biomarkers for Cardiovascular Disease.International journal of molecular sciences · 2022
    Article
  3. Review
  4. 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

9 authors at 3 institutions in 1 country.

Ana Pozo-AgundoDepartment of Biochemistry and Molecular Biology (III) and Inmunology, School of Medicine, University of Granada, 18016 Granada, Spain.ORCID 0000-0003-2188-6296
Nerea VillaescusaDepartment of Biochemistry and Molecular Biology (III) and Inmunology, School of Medicine, University of Granada, 18016 Granada, Spain.
Jordi Martorell-MarugánBioinformatics Unit, Pfizer, Andalusian Government Centre of Genomics and Oncological Research (GENYO), University of Granada, 18016 Granada, Spain.ORCID 0000-0002-5186-0735
Olga SorianoDepartment of Biochemistry and Molecular Biology (III) and Inmunology, School of Medicine, University of Granada, 18016 Granada, Spain.
Socorro LeyvaSan Cecilio Clinic Universitary Hospital, 18016 Granada, Spain.
Ana Belén Jódar-ReyesBiocolloid and Fluid Physics Group, Excellence Research Unit Modeling Nature (MNat), Department of Applied Physics, School of Sciences, University of Granada, 18071 Granada, Spain.ORCID 0000-0002-6136-7477
Luisa María BotellaDepartment of Molecular Biomedicine, Centro de Investigaciones Biológicas (CSIC), 28040 Madrid, Spain.ORCID 0000-0002-6310-2245
Pedro Carmona-SáezBioinformatics Unit, Pfizer, Andalusian Government Centre of Genomics and Oncological Research (GENYO), University of Granada, 18016 Granada, Spain.ORCID 0000-0002-6173-7255
Francisco Javier BlancoDepartment of Biochemistry and Molecular Biology (III) and Inmunology, School of Medicine, University of Granada, 18016 Granada, Spain.ORCID 0000-0002-9929-6707
Universidad de Granada · ESInstituto de Investigación Biosanitaria de Granada · ESInstituto de Salud Carlos III · ES

Funding

Consejería de Economía, Conocimiento, Empresas y Universidad, Junta de Andalucía B1-FQM-112-UGR18Ministerio de Economía y Competitividad SAF2015-74313JIN
6 · The paper itself

Abstract

Hereditary hemorrhagic telangiectasia (HHT) is a rare autosomal dominant vascular dysplasia characterized by epistaxis, mucocutaneous telangiectases, and arteriovenous malformations (AVM) in the visceral organs. The diagnosis of HHT is based on clinical Curaçao criteria, which show limited sensitivity in children and young patients. Here, we carried out a liquid biopsy by which we isolated total RNA from plasma exosome samples. A cohort of 15 HHT type 1 patients, 15 HHT type 2 patients, and 10 healthy relatives were analyzed. Upon gene expression data processing and normalization, a statistical analysis was performed to explore similarities in microRNA expression patterns among samples and detect differentially expressed microRNAs between HHT samples and the control group. We found a disease-associated molecular fingerprint of 35 miRNAs over-represented in HHT vs. controls, with eight being specific for HHT1 and 11 for HHT2; we also found 30 under-represented, including nine distinct for HHT1 and nine for HHT2. The analysis of the receiver operating characteristic (ROC) curves showed that eight miRNAs had good (AUC > 75%) or excellent (AUC > 90%) diagnosis value for HHT and even for type HHT1 and HHT2. In addition, we identified the cellular origin of these miRNAs among the cell types involved in the vascular malformations. Interestingly, we found that only some of them were incorporated into exosomes, which suggests a key functional role of these exosomal miRNAs in the pathophysiology of HHT.

Indexed as

Antigens, CDArteriovenous MalformationsCohort StudiesEndoglinExosomesGene ExpressionGene Expression ProfilingGene Expression RegulationGenotypeHumansLiquid BiopsyMicroRNAsMutationPhenotypeTelangiectasia, Hereditary HemorrhagicTranscriptomeAntigens, CDEndoglinMicroRNAsarteriovenous malformationsexosomeshereditary hemorrhagic telangiectasialiquid biopsymiRNAs

Identifiers

PMID34502358
PMCPMC8431573
OpenAlexW3197840782

What OpenQuestion holds

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LicenceCC BY
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.