Evidence map›Paper›PMID 22072915›Full record

ReviewInternational journal of molecular sciences2011

The role of microRNAs in the biology of rare diseases.

Marco Salvatore, Armando Magrelli, Domenica Taruscio

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. MicroRNAs and Long Non-coding RNAs in Genetic Diseases.Molecular diagnosis & therapy · 2019
    Review
  5. Article
  6. 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

3 authors at 1 institution in 1 country.

Marco SalvatoreNational Centre for Rare Diseases, Istituto Superiore di Sanità Viale Regina Elena, Rome 299-00161, Italy; E-Mails: marco.salvatore@iss.it (M.S.); armando.magrelli@iss.it (A.M.).
Armando Magrelli
Domenica Taruscio
Istituto Superiore di Sanità · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rare diseases (RD) are characterized by low prevalence and affect not more than five individuals per 10,000 in the European population; they are a large and heterogeneous group of disorders including more than 7,000 conditions and often involve all organs and tissues, with several clinical subtypes within the same disease. Very often information concerning either diagnosis and/or prognosis on many RD is insufficient. microRNAs are a class of small non-coding RNAs that regulate gene expression at the posttranscriptional level by either degrading or blocking translation of messenger RNA targets. Recently, microRNA expression patterns of body fluids underscored their potential as noninvasive biomarkers for various diseases. The role of microRNAs as potential biomarkers has become particularly attractive. The identification of disease-related microRNAs is essential for understanding the pathogenesis of diseases at the molecular level, and is critical for designing specific molecular tools for diagnosis, treatment and prevention. Computational analysis of microRNA-disease associations is an important complementary means for prioritizing microRNAs for further experimental examination. In this article, we explored the added value of miRs as biomarkers in a selected panel of RD hitting different tissues/systems at different life stages, but sharing the need of better biomarkers for diagnostic and prognostic purposes.

Indexed as

Amyotrophic Lateral SclerosisBiomarkersExostoses, Multiple HereditaryHepatoblastomaHumansMicroRNAsMuscular Dystrophy, DuchennePemphigus, Benign FamilialRare DiseasesRett SyndromeSezary SyndromeBiomarkersMicroRNAsbiomarkerHailey-Hailey diseasehepatoblastomamicroRNAmultiple osteochondromasrare diseaseRett syndromeSezary syndrome

Identifiers

PMID22072915
PMCPMC3211006
OpenAlexW2066880936

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.