Evidence map›Paper›PMID 31889114›Full record

ArticleScientific reports2019

Analysis of HDL-microRNA panel in heterozygous familial hypercholesterolemia subjects with LDL receptor null or defective mutation.

Roberto Scicali, Antonino Di Pino, Chiara Pavanello, Alice Ossoli, Arianna Strazzella, Antonia Alberti, Stefania Di Mauro, Alessandra Scamporrino, Francesca Urbano, Agnese Filippello and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

  1. Characterizing probiotic properties of the Saccharomyces cerevisiae ABO1 strain isolated from toddy palm nectar.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
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  10. Clinical and Molecular Biomarkers for Diagnosis and Staging of NAFLD.International journal of molecular sciences · 2021
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  12. High-Density Lipoproteins in Kidney Disease.International journal of molecular sciences · 2021
    Review
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  15. Observational
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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

14 authors at 3 institutions in 1 country.

Roberto ScicaliDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Antonino Di PinoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Chiara PavanelloCentro E. Grossi Paoletti, Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milano, Italy.
Alice OssoliCentro E. Grossi Paoletti, Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milano, Italy.
Arianna StrazzellaCentro E. Grossi Paoletti, Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milano, Italy.
Antonia AlbertiCentro Dislipidemie, ASST Grande Ospedale Metropolitano Niguarda, Milano, Italy.
Stefania Di MauroDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Alessandra ScamporrinoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Francesca UrbanoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Agnese FilippelloDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Salvatore PiroDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Agata Maria RabuazzoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Laura CalabresiCentro E. Grossi Paoletti, Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milano, Italy.
Francesco PurrelloDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy. fpurrell@unict.it.
University of Catania · ITUniversity of Milan · ITAzienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last years increasing attention has been given to the connection between genotype/phenotype and cardiovascular events in subjects with familial hypercholesterolemia (FH). MicroRNAs (miRs) bound to high-density lipoprotein (HDL) may contribute to better discriminate the cardiovascular risk of FH subjects. Our aim was to evaluate the HDL-miR panel in heterozygous FH (HeFH) patients with an LDLR null or defective mutation and its association with pulse wave velocity (PWV). We evaluated lipid panel, HDL-miR panel and PWV in 32 LDLR null mutation (LDLR-null group) and 35 LDLR defective variant (LDLR-defective group) HeFH patients. HDL-miR-486 and HDL-miR-92a levels were more expressed in the LDLR-null group than the LDLR-defective group. When we further stratified the study population into three groups according to both the LDLR genotype and history of ASCVD (LDLR-null/not-ASCVD, LDLR-defective/not-ASCVD and LDLR/ASCVD groups), both the LDLR/ASCVD and the LDLR-null/not-ASCVD groups had a higher expression of HDL-miR-486 and HDL-miR-92a than the LDLR-defective/not-ASCVD group. Finally, HDL-miR-486 and HDL-miR-92a were independently associated with PWV. In conclusion, the LDLR-null group exhibited HDL-miR-486 and HDL-miR-92a levels more expressed than the LDLR-defective group. Further studies are needed to evaluate these HDL-miRs as predictive biomarkers of cardiovascular events in FH.

Indexed as

HeterozygoteMutationAdultBiomarkersFemaleHumansHyperlipoproteinemia Type IILipidsLipoproteins, HDLMaleMicroRNAsMiddle AgedReceptors, LDLBiomarkersLDLR protein, humanLipidsLipoproteins, HDLMicroRNAsReceptors, LDL

Identifiers

PMID31889114
PMCPMC6937253
OpenAlexW2997128511

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.