Evidence mapPaperPMID 33757121Full record

ReviewCardiovascular research2022

Dissecting the transcriptome in cardiovascular disease.

Emma L Robinson, Andrew H Baker, Mairi Brittan, Ian McCracken, G Condorelli, C Emanueli, P K Srivastava, C Gaetano, T Thum, M Vanhaverbeke and 6 more

Open access · hybridAbstract readReview
In one paragraph

Review in Cardiovascular research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 37 citations in OpenAlex.

  1. Unifying and unique roles of non-coding RNA biomarkers in liver and heart fibrosis.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2026
    Review
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  12. Stressing the Circle: Circular RNA-LONP2 Role in Atherosclerosis.JACC. Basic to translational science · 2024
    Article
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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

16 authors at 11 institutions in 8 countries.

Emma L RobinsonDepartment of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Universiteitssingel 50, 6229 Maastricht University, Maastricht, The Netherlands.ORCID 0000-0002-4866-731X
Andrew H BakerCentre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK.ORCID 0000-0003-1441-5576
Mairi BrittanCentre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK.ORCID 0000-0002-3830-200X
Ian McCrackenCentre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK.ORCID 0000-0001-8806-548X
G CondorelliHumanitas Research Hospital, Humanitas University, Via Manzoni 113, Rozzano, MI 20089, Italy.ORCID 0000-0003-0481-6843
C EmanueliImperial College, National Heart and Lung Institute, Hammersmith campus, Du Cane Road, London W12 0NN, UK.ORCID 0000-0002-2392-0702
P K SrivastavaImperial College, National Heart and Lung Institute, Hammersmith campus, Du Cane Road, London W12 0NN, UK.
C GaetanoLaboratorio di Epigenetica, Istituti Clinici Scientifici Maugeri IRCCS, Via Maugeri 4, Pavia 27100, Italy.ORCID 0000-0002-5238-1832
T ThumHannover Medical School, Institute of Molecular and Translational Therapeutic Strategies (IMTTS), Carl-Neuberg-Straße 1 30625 Hannover, Germany.ORCID 0000-0003-4360-1511
M VanhaverbekeUZ Gasthuisberg Campus, KU Leuven, Herestraat 49 3000 Leuven, Belgium.
C AngioneDepartment of Computer Science and Information Systems, Teesside University, Middlesbrough, TS4 3BX, UK.ORCID 0000-0002-3140-7909
S HeymansDepartment of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Universiteitssingel 50, 6229 Maastricht University, Maastricht, The Netherlands.
Y DevauxCardiovascular Research Unit, Department of Population Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, L-1445 Strassen, Luxembourg.ORCID 0000-0002-5321-8543
T PedrazziniExperimental Cardiology Unit, Division of Cardiology, Department of Cardiovascular Medicine, University of Lausanne Medical School, 1011 Lausanne, Switzerland.
F MartelliMolecular Cardiology Laboratory, IRCCS-Policlinico San Donato, Piazza Edmondo Malan, 2, 20097 San Donato, Milan, Italy.ORCID 0000-0002-8624-7738
EU-CardioRNA COST Action CA17129
The Queen's Medical Research Institute · GBHammersmith Hospital · GBMaastricht University · NLHumanitas University · ITIRCCS Policlinico San Donato · ITIstituti Clinici Scientifici Maugeri · ITLuxembourg Institute of Health · LUMedizinische Hochschule Hannover · DETeesside University · GBUniversitair Ziekenhuis Leuven · BEUniversity of Lausanne · CH

Funding

British Heart Foundation CH/11/2/28733British Heart Foundation CH/15/1/31199British Heart Foundation RG/15/5/31446British Heart Foundation RG/20/9/35101
6 · The paper itself

Abstract

The human transcriptome comprises a complex network of coding and non-coding RNAs implicated in a myriad of biological functions. Non-coding RNAs exhibit highly organized spatial and temporal expression patterns and are emerging as critical regulators of differentiation, homeostasis, and pathological states, including in the cardiovascular system. This review defines the current knowledge gaps, unmet methodological needs, and describes the challenges in dissecting and understanding the role and regulation of the non-coding transcriptome in cardiovascular disease. These challenges include poor annotation of the non-coding genome, determination of the cellular distribution of transcripts, assessment of the role of RNA processing and identification of cell-type specific changes in cardiovascular physiology and disease. We highlight similarities and differences in the hurdles associated with the analysis of the non-coding and protein-coding transcriptomes. In addition, we discuss how the lack of consensus and absence of standardized methods affect reproducibility of data. These shortcomings should be defeated in order to make significant scientific progress and foster the development of clinically applicable non-coding RNA-based therapeutic strategies to lessen the burden of cardiovascular disease.

Indexed as

Cardiovascular DiseasesRNA, Long NoncodingHumansReproducibility of ResultsRNA Processing, Post-TranscriptionalTranscriptomeRNA, Long NoncodingMethodology standardisationNon-coding RNAsTranscriptomicsTranslational cardiovascular research

Identifiers

PMID33757121
PMCPMC8930073
OpenAlexW3137389017

What Socratic 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 Socratic graph.