Evidence map›Paper›PMID 23949389›Full record

ReviewEpigenetics2013

Putative miRNAs for the diagnosis of dyslexia, dyspraxia, and specific language impairment.

Alexander Rudov, Marco Bruno Luigi Rocchi, Augusto Accorsi, Giorgio Spada, Antonio Domenico Procopio, Fabiola Olivieri, Maria Rita Rippo, Maria Cristina Albertini

Open access · bronzeAbstract readReview
In one paragraph

Review in Epigenetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Neuroimaging genetic associations betweenJournal of clinical and experimental neuropsychology · 2021
    Article
  2. 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

8 authors at 2 institutions in 1 country.

Alexander RudovDepartment of Biomolecular Sciences; Urbino University ''Carlo Bo''; Urbino, Italy.
Marco Bruno Luigi RocchiDepartment of Biomolecular Sciences; Urbino University ''Carlo Bo''; Urbino, Italy.
Augusto AccorsiDepartment of Biomolecular Sciences; Urbino University ''Carlo Bo''; Urbino, Italy.
Giorgio SpadaDipartimento di Scienze di Base e Fondamenti; Urbino University ''Carlo Bo''; Urbino, Italy.
Antonio Domenico ProcopioDepartment of Clinical and Molecular Sciences; Università Politecnica delle Marche; Ancona, Italy.
Fabiola OlivieriDepartment of Clinical and Molecular Sciences; Università Politecnica delle Marche; Ancona, Italy.
Maria Rita RippoDepartment of Clinical and Molecular Sciences; Università Politecnica delle Marche; Ancona, Italy.
Maria Cristina AlbertiniDepartment of Biomolecular Sciences; Urbino University ''Carlo Bo''; Urbino, Italy.
University of Urbino · ITMarche Polytechnic University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disorders of human communication abilities can be classified into speech and language disorders. Speech disorders (e.g., dyspraxia) affect the sound generation and sequencing, while language disorders (e.g., dyslexia and specific language impairment, or SLI) are deficits in the encoding and decoding of language according to its rules (reading, spelling, grammar). The diagnosis of such disorders is often complicated, especially when a patient presents more than one disorder at the same time. The present review focuses on these challenges. We have combined data available from the literature with an in silico approach in an attempt to identify putative miRNAs that may have a key role in dyspraxia, dyslexia and SLI. We suggest the use of new miRNAs, which could have an important impact on the three diseases. Further, we relate those miRNAs to the axon guidance pathway and discuss possible interactions and the role of likely deregulated proteins. In addition, we describe potential differences in expressional deregulation and its role in the improvement of diagnosis. We encourage experimental investigations to test the data obtained in silico.

Indexed as

ApraxiasAxonsComputer SimulationDatabases, GeneticDyslexiaHumansMicroRNAsSignal TransductionMicroRNAsdyslexiadyspraxiain silico analysismiRNASLI

Identifiers

PMID23949389
PMCPMC3891682
OpenAlexW2028528496

What OpenQuestion holds

Textmetadata
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.