Evidence map›Paper›PMID 29751665›Full record

ReviewNon-coding RNA2018

Long Non-Coding RNAs in Multifactorial Diseases: Another Layer of Complexity.

Gabriel A Cipolla, Jaqueline C de Oliveira, Amanda Salviano-Silva, Sara C Lobo-Alves, Debora S Lemos, Luana C Oliveira, Tayana S Jucoski, Carolina Mathias, Gabrielle A Pedroso, Erika P Zambalde and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Non-coding RNA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 78 citations in OpenAlex.

  1. Review
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  6. Article
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  8. Review
  9. Association betweenHeliyon · 2023
    Article
  10. Article
  11. Dark DNA and stress (Review).International journal of molecular medicine · 2023
    Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Observational
  19. Article
  20. Decoding LncRNAs.Cancers · 2021
    Review
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

11 authors at 1 institution in 1 country.

Gabriel A CipollaDepartment of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil. gabriel.cipolla@ufpr.br.
Jaqueline C de OliveiraDepartment of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil. jaqueline.carvalho@ufpr.br.ORCID 0000-0002-5314-3107
Amanda Salviano-SilvaDepartment of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil. amandasalviano@ufpr.br.
Sara C Lobo-AlvesDepartment of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil. sara.alves@ufpr.br.
Debora S LemosDepartment of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil. debora.lemos@ufpr.br.
Luana C OliveiraDepartment of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil. luana.oliveira@ufpr.br.
Tayana S JucoskiDepartment of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil. tayanajucoski@ufpr.br.
Carolina MathiasDepartment of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil. carolina.mathias@ufpr.br.
Gabrielle A PedrosoDepartment of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil. gabriellearaujop@ufpr.br.
Erika P ZambaldeDepartment of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil. erikazambalde@ufpr.br.
Daniela F GradiaDepartment of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil. danielagradia@ufpr.br.ORCID 0000-0002-1452-5807
Universidade Federal do Paraná · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multifactorial diseases such as cancer, cardiovascular conditions and neurological, immunological and metabolic disorders are a group of diseases caused by the combination of genetic and environmental factors. High-throughput RNA sequencing (RNA-seq) technologies have revealed that less than 2% of the genome corresponds to protein-coding genes, although most of the human genome is transcribed. The other transcripts include a large variety of non-coding RNAs (ncRNAs), and the continuous generation of RNA-seq data shows that ncRNAs are strongly deregulated and may be important players in pathological processes. A specific class of ncRNAs, the long non-coding RNAs (lncRNAs), has been intensively studied in human diseases. For clinical purposes, lncRNAs may have advantages mainly because of their specificity and differential expression patterns, as well as their ideal qualities for diagnosis and therapeutics. Multifactorial diseases are the major cause of death worldwide and many aspects of their development are not fully understood. Recent data about lncRNAs has improved our knowledge and helped risk assessment and prognosis of these pathologies. This review summarizes the involvement of some lncRNAs in the most common multifactorial diseases, with a focus on those with published functional data.

Indexed as

biomarkerscomplex diseaseslncRNAs

Identifiers

PMID29751665
PMCPMC6027498
OpenAlexW2802480364

What OpenQuestion holds

Textmetadata
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.