Evidence map›Paper›PMID 29937989›Full record

ArticleOncotarget2018

A pilot study of circulating microRNAs as potential biomarkers of Fabry disease.

Giuseppe Cammarata, Simone Scalia, Paolo Colomba, Carmela Zizzo, Antonio Pisani, Eleonora Riccio, Michaela Montalbano, Riccardo Alessandro, Antonello Giordano, Giovanni Duro

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03838237 (Effect of Migalastat on Cardiac Involvement in Fabry Disease), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.3field-weighted citation impact, top 12% 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.

NCT03838237 completednot on this map

Effect of Migalastat on Cardiac Involvement in Fabry Disease

TypeobservationalSponsorOspedale San DonatoRan2018 to 2021Enrolled18ConditionsFabry Disease, Heart DiseasesArmsCardiological evaluation
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Review
  3. Endosomal Mechanisms in Heart Failure Pathophysiology.Current heart failure reports · 2025
    Review
  4. Review
  5. Article
  6. Review
  7. Mitochondrial microRNAs Are Dysregulated in Patients with Fabry Disease.The Journal of pharmacology and experimental therapeutics · 2023
    Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Non-Coding RNAs in Hereditary Kidney Disorders.International journal of molecular sciences · 2021
    Review
  13. Article
  14. Review
  15. Non-Coding RNA and Frizzled Receptors in Cancer.Frontiers in molecular biosciences · 2021
    Review
  16. Article
  17. Biomarkers in Anderson-Fabry Disease.International journal of molecular sciences · 2020
    Review
  18. Review
  19. Review
  20. Hot topics in Fabry disease.Postgraduate medical journal · 2018
    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

10 authors at 2 institutions in 1 country.

Giuseppe CammarataInstitute of Biomedicine and Molecular Immunology, National Research Council, Palermo, Italy.
Simone ScaliaInstitute of Biomedicine and Molecular Immunology, National Research Council, Palermo, Italy.
Paolo ColombaInstitute of Biomedicine and Molecular Immunology, National Research Council, Palermo, Italy.
Carmela ZizzoInstitute of Biomedicine and Molecular Immunology, National Research Council, Palermo, Italy.
Antonio PisaniDepartment of Public Health, Section of Nephrology, Federico II University of Naples, Naples, Italy.
Eleonora RiccioDepartment of Public Health, Section of Nephrology, Federico II University of Naples, Naples, Italy.
Michaela MontalbanoInstitute of Biomedicine and Molecular Immunology, National Research Council, Palermo, Italy.
Riccardo AlessandroInstitute of Biomedicine and Molecular Immunology, National Research Council, Palermo, Italy.
Antonello GiordanoDepartment of Neurology, Guzzardi Hospital, Vittoria, Italy.
Giovanni DuroInstitute of Biomedicine and Molecular Immunology, National Research Council, Palermo, Italy.
National Research Council · ITUniversity of Palermo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients suffering from Fabry disease (FD), a lysosomal storage disorder, show a broad range of symptoms and the diagnosis followed by the therapeutic decision remains a great challenge. The biomarkers available today have not proven to be useful for predicting the evolution of the disease and for assessing response to therapy in many patients. Here, we used high-throughput microRNA profiling methodology to identify a specific circulating microRNA profile in FD patients. We discovered a pattern of 10 microRNAs able to identify FD patients when compared to healthy controls. Notably, two of these: the miR199a-5p and the miR-126-3p are able to discriminate FDs from the control subjects with left ventricular hypertrophy, a frequent but non-specific FD symptom. These same microRNAs are also sensitive to enzyme replacement therapy showing variation in the subjects under treatment. Furthermore, two other microRNAs of the profile, the miR-423-5p and the miR-451a, seem useful to highlight cardiac involvement in FD patients. A literature and database search revealed that miR-199a-5p, miR-126-3p, miR-423-5p and miR-451a are known to be linked to pathological states that occur during the FD development. In particular, miR-199a-5p, and miR-126-3p are involved in endothelial dysfunction and miR-423-5p and miR-451a in myocardial remodeling. In conclusion, in this study we identified a common plasma microRNA profile in FD patients, useful not only for the correct classification of Fabry patients regardless of sex and age, but also to evaluate the response to therapy. Furthermore, our observations suggest that some microRNAs of this profile demonstrate prognostic qualities.

Indexed as

biomarkerERTFabry diseaseLVHmicroRNAPathology

Identifiers

PMID29937989
PMCPMC6007950
OpenAlexW2807069196

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.