Evidence map›Paper›PMID 29688487›Full record

ReviewEuropean heart journal2019

Circulating non-coding RNAs in biomarker-guided cardiovascular therapy: a novel tool for personalized medicine?

David de Gonzalo-Calvo, Angela Vea, Christian Bär, Jan Fiedler, Liam S Couch, Carlos Brotons, Vicenta Llorente-Cortes, Thomas Thum

Abstract readReview
In one paragraph

Review in European heart journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
–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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients.Translational research : the journal of laboratory and clinical medicine · 2021
    Trial
  3. Trial
  4. mBiomolecules · 2026
    Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

David de Gonzalo-CalvoBiomedical Research Institute Sant Pau (IIB Sant Pau), Av. Sant Antoni Maria Claret 167, Pavelló del Convent, Barcelona, Spain.
Angela VeaBiomedical Research Institute Sant Pau (IIB Sant Pau), Av. Sant Antoni Maria Claret 167, Pavelló del Convent, Barcelona, Spain.
Christian BärInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), IFB-Tx, Hannover Medical School, Carl-Neuberg-Str. 1, Hannover, Germany.
Jan FiedlerInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), IFB-Tx, Hannover Medical School, Carl-Neuberg-Str. 1, Hannover, Germany.
Liam S CouchInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), IFB-Tx, Hannover Medical School, Carl-Neuberg-Str. 1, Hannover, Germany.
Carlos BrotonsBiomedical Research Institute Sant Pau (IIB Sant Pau), Sardenya Primary Health Care Center, C/ Sardenya 466, Barcelona, Spain.
Vicenta Llorente-CortesBiomedical Research Institute Sant Pau (IIB Sant Pau), Av. Sant Antoni Maria Claret 167, Pavelló del Convent, Barcelona, Spain.
Thomas ThumInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), IFB-Tx, Hannover Medical School, Carl-Neuberg-Str. 1, Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current clinical guidelines emphasize the unmet need for technological innovations to guide physician decision-making and to transit from conventional care to personalized cardiovascular medicine. Biomarker-guided cardiovascular therapy represents an interesting approach to inform tailored treatment selection and monitor ongoing efficacy. However, results from previous publications cast some doubts about the clinical applicability of biomarkers to direct individualized treatment. In recent years, the non-coding human transcriptome has emerged as a new opportunity for the development of novel therapeutic strategies and biomarker discovery. Non-coding RNA (ncRNA) signatures may provide an accurate molecular fingerprint of patient phenotypes and capture levels of information that could complement traditional markers and established clinical variables. Importantly, ncRNAs have been identified in body fluids and their concentrations change with physiology and pathology, thus representing promising non-invasive biomarkers. Previous publications highlight the translational applicability of circulating ncRNAs for diagnosis and prognostic stratification within cardiology. Numerous independent studies have also evaluated the potential of the circulating non-coding transcriptome to predict and monitor response to cardiovascular treatment. However, this field has not been reviewed in detail. Here, we discuss the state-of-the-art research into circulating ncRNAs, specifically microRNAs and long non-coding RNAs, to support clinical decision-making in cardiovascular therapy. Furthermore, we summarize current methodological and conceptual limitations and propose future steps for their incorporation into personalized cardiology. Despite the lack of robust population-based studies and technical barriers, circulating ncRNAs emerge as a promising tool for biomarker-guided therapy.

Indexed as

Cardiovascular DiseasesBiomarkersCirculating MicroRNAHumansPrecision MedicineRNA, UntranslatedBiomarkersCirculating MicroRNARNA, UntranslatedBiomarkerCardiovascular diseaseLong non-coding RNAsMicroRNAsNon-coding RNAsPersonalized medicinePrecision medicine

Identifiers

PMID29688487
PMCPMC6528150

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.