Evidence map›Paper›PMID 28679388›Full record

ArticleOrphanet journal of rare diseases2017

ATM splicing variants as biomarkers for low dose dexamethasone treatment of A-T.

Michele Menotta, Sara Biagiotti, Chiara Spapperi, Sara Orazi, Luigia Rossi, Luciana Chessa, Vincenzo Leuzzi, Daniela D'Agnano, Annarosa Soresina, Roberto Micheli and 1 more

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 31% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Dexamethasone induces p21FEBS open bio · 2023
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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 3 institutions in 1 country.

Michele MenottaDepartment of Biomolecular Sciences, University of Urbino "Carlo Bo", 61029, Urbino, PU, Italy. michele.menotta@uniurb.it.ORCID 0000-0001-5206-6296
Sara BiagiottiDepartment of Biomolecular Sciences, University of Urbino "Carlo Bo", 61029, Urbino, PU, Italy.
Chiara SpapperiDepartment of Biomolecular Sciences, University of Urbino "Carlo Bo", 61029, Urbino, PU, Italy.
Sara OraziDepartment of Biomolecular Sciences, University of Urbino "Carlo Bo", 61029, Urbino, PU, Italy.
Luigia RossiDepartment of Biomolecular Sciences, University of Urbino "Carlo Bo", 61029, Urbino, PU, Italy.
Luciana ChessaDepartment of Clinical and Molecular Medicine, University "La Sapienza", 00198, Rome, Italy.
Vincenzo LeuzziDepartment of Pediatrics and Child Neurology and Psychiatry, University "La Sapienza", Rome, Italy.
Daniela D'AgnanoDepartment of Pediatrics and Child Neurology and Psychiatry, University "La Sapienza", Rome, Italy.
Annarosa SoresinaDepartment of Clinical and Experimental Sciences, Pediatrics Clinic and Institute of Molecular Medicine "A. Nocivelli", Unit of Child Neurology and Psychiatry Spedali Civili and University of Brescia, Brescia, Italy.
Roberto MicheliDepartment of Clinical and Experimental Sciences, Pediatrics Clinic and Institute of Molecular Medicine "A. Nocivelli", Unit of Child Neurology and Psychiatry Spedali Civili and University of Brescia, Brescia, Italy.
Mauro MagnaniDepartment of Biomolecular Sciences, University of Urbino "Carlo Bo", 61029, Urbino, PU, Italy.
University of Urbino · ITSapienza University of Rome · ITUniversity of Brescia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtaxia Telangiectasia (AT) is a rare incurable genetic disease, caused by biallelic mutations in the Ataxia Telangiectasia-Mutated (ATM) gene. Treatment with glucocorticoid analogues has been shown to improve the neurological symptoms that characterize this syndrome. Nevertheless, the molecular mechanism underlying the glucocorticoid action in AT patients is not yet understood. Recently, we have demonstrated that Dexamethasone treatment may partly restore ATM activity in AT lymphoblastoid cells by a new ATM transcript, namely ATMdexa1.

resultsIn the present study, the new ATMdexa1 transcript was also identified in vivo, specifically in the PMBCs of AT patients treated with intra-erythrocyte Dexamethasone (EryDex). In these patients it was also possible to isolate new "ATMdexa1 variants" originating from canonical and non-canonical splicing, each containing the coding sequence for the ATM kinase domain. The expression of the ATMdexa1 transcript family was directly related to treatment and higher expression levels of the transcript in patients' blood correlated with a positive response to Dexamethasone therapy. Neither untreated AT patients nor untreated healthy volunteers possessed detectable levels of the transcripts. ATMdexa1 transcript expression was found to be elevated 8 days after the drug infusion, while it decreased 21 days after treatment.

conclusionsFor the first time, the expression of ATM splicing variants, similar to those previously observed in vitro, has been found in the PBMCs of patients treated with EryDex. These findings show a correlation between the expression of ATMdexa1 transcripts and the clinical response to low dose dexamethasone administration.

Indexed as

AdolescentAtaxia TelangiectasiaAtaxia Telangiectasia Mutated ProteinsBiomarkersChildDexamethasoneFemaleGene Expression RegulationGlucocorticoidsHumansLeukocytes, MononuclearMaleProtein IsoformsAtaxia Telangiectasia Mutated ProteinsATM protein, humanBiomarkersDexamethasoneGlucocorticoidsProtein IsoformsAtaxia TelangiectasiaATMATMdexa1DexamethasoneIntra-erythrocyte DEXA

Identifiers

PMID28679388
PMCPMC5498894
OpenAlexW2728269107

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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.