Evidence map›Paper›PMID 31263395›Full record

ReviewEJIFCC2019

Exosomal long non-coding RNAs as biomarkers in human diseases.

Evelyn Kelemen, Judit Danis, Anikó Göblös, Zsuzsanna Bata-Csörgő, Márta Széll

Open access · greenAbstract readReview
In one paragraph

Review in EJIFCC, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.5field-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

28 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
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  4. The Role of ncRNAs in the Immune Dysregulation of Preeclampsia.International journal of molecular sciences · 2023
    Review
  5. Article
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  7. Article
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  10. Review
  11. Review
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  14. Long Noncoding RNAs as Innovative Urinary Diagnostic Biomarkers.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  15. Review
  16. Article
  17. Article
  18. Exosomal Long Non-Coding RNAs in Lung Diseases.International journal of molecular sciences · 2020
    Review
  19. Review
  20. 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

5 authors at 2 institutions in 1 country.

Evelyn KelemenDepartment of Dermatology and Allergology, Research Institute of Translational Biomedicine, University of Szeged, Hungary.
Judit DanisDepartment of Dermatology and Allergology, Research Institute of Translational Biomedicine, University of Szeged, Hungary.
Anikó GöblösDepartment of Dermatology and Allergology, Research Institute of Translational Biomedicine, University of Szeged, Hungary.
Zsuzsanna Bata-CsörgőDepartment of Dermatology and Allergology, Research Institute of Translational Biomedicine, University of Szeged, Hungary.
Márta SzéllMTA-SZTE Dermatological Research Group, Szeged, Hungary.
MTA-SZTE Research Group on Artificial Intelligence · HUUniversity of Szeged · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intensive study of extracellular vesicles was started about a decade ago revealing alterations of their amount and content to several cellular stimuli, highly depending on the releasing cell type. Exosomes, a type of extracellular vesicles, are released by every cell type and are present in most body fluids, what makes them attractive targets of biomarker research. Several studies have indicated that their content - including proteins and coding, as well as non-coding nucleic acids - could represent the disease state and serves as specific disease biomarkers. Out of these molecules, a special interest was gained by long non-coding RNAs (lncRNAs). Just as exosomes, lncRNAs are specific to their cell of origin and often specific to diseases, also found extracellularly, mainly contained in extracellular vesicles. Thus, recent efforts in biomarker research has turned to circulating exosomal lncRNAs, which might lead to the development of highly specific disease markers. Here we summarize the current knowledge on disease-associated exosomal long non-coding RNAs. The intensive studies in this area have revealed numerous potential targets for biomarkers, and highlighted the potential of their combination with other exosomal markers to represent a highly sensitive and specific diagnostic tool. However, we believe that additional functional data on both exosomes and lncRNAs are necessary for understanding their deregulation in diseases and developing their use as diagnostic approaches.

Indexed as

cancerchronic kidney diseaseexosomeslong non-coding RNAspsoriasis

Identifiers

PMID31263395
PMCPMC6599197
OpenAlexW2969327833

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.