Evidence map›Paper›PMID 32664454›Full record

ReviewInternational journal of molecular sciences2020

Approaching Sex Differences in Cardiovascular Non-Coding RNA Research.

Amela Jusic, Antonio Salgado-Somoza, Ana B Paes, Francesca Maria Stefanizzi, Núria Martínez-Alarcón, Florence Pinet, Fabio Martelli, Yvan Devaux, Emma Louise Robinson, Susana Novella and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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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

11 authors at 7 institutions in 6 countries.

Amela JusicDepartment of Biology, Faculty of Natural Sciences and Mathematics, University of Tuzla, 75000 Tuzla, Bosnia and Herzegovina.ORCID 0000-0003-2835-4284
Antonio Salgado-SomozaCardiovascular Research Unit, Department of Population Health, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg.
Ana B PaesINCLIVA Biomedical Research Institute, Menéndez Pelayo 4 Accesorio, 46010 Valencia, Spain.ORCID 0000-0001-7725-3610
Francesca Maria StefanizziCardiovascular Research Unit, Department of Population Health, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg.ORCID 0000-0001-5029-9491
Núria Martínez-AlarcónINCLIVA Biomedical Research Institute, Menéndez Pelayo 4 Accesorio, 46010 Valencia, Spain.ORCID 0000-0001-9253-4904
Florence PinetINSERM, CHU Lille, Institut Pasteur de Lille, University of Lille, U1167 F-59000 Lille, France.ORCID 0000-0002-5471-1487
Fabio MartelliMolecular Cardiology Laboratory, Policlinico San Donato IRCCS, San Donato Milanese, 20097 Milan, Italy.ORCID 0000-0002-8624-7738
Yvan DevauxCardiovascular Research Unit, Department of Population Health, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg.ORCID 0000-0002-5321-8543
Emma Louise RobinsonDepartment of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, 6229 ER Maastricht, The Netherlands.ORCID 0000-0002-4866-731X
Susana NovellaDepartment of Physiology, Faculty of Medicine and Dentistry, University of Valencia, and INCLIVA Biomedical Research Institute, Menéndez Pelayo 4 Accesorio, 46010 Valencia, Spain.ORCID 0000-0001-8303-7252
On Behalf Of The Eu-CardioRNA Cost Action
Luxembourg Institute of Health · LUMenéndez Pelayo International University · ESInserm · FRIRCCS Policlinico San Donato · ITMaastricht University · NLUniversitat de València · ESUniversity of Tuzla · BA

Funding

RENAL PATHOGENICITY OF ANTIDNA ANTIBODIESK08AR002015 · NIAMS · YESHIVA UNIVERSITY · PI PUTTERMAN, CHAIM · 1997 to 2001
$252k
Fonds National de la Recherche Luxembourg #C14/BM/8225223 and #C17/BM/11613033Hartstichting EARLY-HFPEF-2015Horizon 2020 Framework Programme EU-CardioRNA COST Action CA17129Italian Ministry of Health "Ricerca Corrente" and "5x1000"Telethon Foundation GGP19035A
6 · The paper itself

Abstract

Cardiovascular disease (CVD) is the biggest cause of sickness and mortality worldwide in both males and females. Clinical statistics demonstrate clear sex differences in risk, prevalence, mortality rates, and response to treatment for different entities of CVD. The reason for this remains poorly understood. Non-coding RNAs (ncRNAs) are emerging as key mediators and biomarkers of CVD. Similarly, current knowledge on differential regulation, expression, and pathology-associated function of ncRNAs between sexes is minimal. Here, we provide a state-of-the-art overview of what is known on sex differences in ncRNA research in CVD as well as discussing the contributing biological factors to this sex dimorphism including genetic and epigenetic factors and sex hormone regulation of transcription. We then focus on the experimental models of CVD and their use in translational ncRNA research in the cardiovascular field. In particular, we want to highlight the importance of considering sex of the cellular and pre-clinical models in clinical studies in ncRNA research and to carefully consider the appropriate experimental models most applicable to human patient populations. Moreover, we aim to identify sex-specific targets for treatment and diagnosis for the biggest socioeconomic health problem globally.

Indexed as

AnimalsBiomarkersCardiovascular DiseasesCardiovascular SystemHumansRNA, UntranslatedSex CharacteristicsBiomarkersRNA, Untranslatedandrogencardiovascular diseasesestrogenexperimental modelslncRNAmiRNAncRNAreceptorsvascular cells

Identifiers

PMID32664454
PMCPMC7402336
OpenAlexW3040836989

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.