Evidence map›Paper›PMID 36222125›Full record

ArticleHuman molecular genetics2023

Dynamics and variability of transcriptomic dysregulation in congenital myotonic dystrophy during pediatric development.

Melissa A Hale, Kameron Bates, Marina Provenzano, Nicholas E Johnson

Open access · bronzeAbstract read
In one paragraph

Article in Human molecular genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

17 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  5. Delpacibart etedesiran improves the molecular pathology of myotonic dystrophy type 1 in the phase 1/2 MARINA study.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
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  6. Review
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  14. Transcriptional Changes Associated with Amyoplasia.International journal of molecular sciences · 2024
    Article
  15. Article
  16. Article
  17. Article
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

4 authors at 1 institution in 1 country.

Melissa A HaleDepartment of Neurology, Virginia Commonwealth University, Richmond, VA 23298, USA.
Kameron BatesDepartment of Neurology, Virginia Commonwealth University, Richmond, VA 23298, USA.
Marina ProvenzanoDepartment of Neurology, Virginia Commonwealth University, Richmond, VA 23298, USA.
Nicholas E JohnsonDepartment of Neurology, Virginia Commonwealth University, Richmond, VA 23298, USA.ORCID 0000-0002-3917-4257
Virginia Commonwealth University · US

Funding

Therapeutic Potential of ESC-Derived Myogenic PrecursorsU54NS053672 · NINDS · UNIVERSITY OF IOWA · PI MATHEWS, KATHERINE DIANNE · 2005 to 2019
$22.0M
Muscular Dystrophy Specialized Research Center: Project 2P50NS053672 · NINDS · UNIVERSITY OF IOWA · PI KEVIN P. CAMPBELL · 2020 to 2026
$11.9M
Identifying the RNA Splicing and Gene Expression Changes that Cause Congenital Myotonic Dystrophy (Renewal)R01NS104010 · NINDS · VIRGINIA COMMONWEALTH UNIVERSITY · PI Nicholas Elwood Johnson · 2018 to 2026
$4.4M
Establishing Biomarkers and Clinical Endpoints in Myotonic Dystrophy Type-1 (Renewal)R01FD006071 · FDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI Nicholas Elwood Johnson, CHARLES A THORNTON · 2017 to 2026
$3.7M
Development and validation of clinical outcome assessments in LGMD2AR21TR003184 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI JOHNSON, NICHOLAS ELWOOD, STATLAND, JEFFREY · 2020 to 2021
$452k
CDC HHS U01DD001242FDA HHS R01 FD006071FDA HHS R01FD006071NCATS NIH HHS R21 TR003184NCBDD CDC HHS U01 DD001242NIH HHS R21TR003184NINDS NIH HHS P50 NS053672NINDS NIH HHS R01 NS104010NINDS NIH HHS U54 NS053672
6 · The paper itself

Abstract

Myotonic dystrophy type 1 (DM1) is a multi-systemic disorder caused by expansion of CTG microsatellite repeats within DMPK. The most severe form, congenital myotonic dystrophy (CDM), has symptom onset at birth due to large intergenerational repeat expansions. Despite a common mutation, CDM individuals present with a distinct clinical phenotype and absence of common DM1 symptoms. Given the clinical divergence, it is unknown if the hallmark of DM1 pathology, dysregulation of alternative splicing (AS) due to sequestration of MBNL proteins within toxic CUG repeat RNAs, contributes to disease throughout pediatric development. To evaluate global transcriptomic dysregulation, RNA-seq was performed on 36 CDM skeletal muscle biopsies ages 2 weeks to 16 years, including two longitudinal samples. Fifty DM1 and adult/pediatric controls were also sequenced as comparative groups. Despite a large CTG expansion and shared age of onset, CDM individuals presented with a heterogenous, MBNL-dependent mis-splicing signature. Estimation of intracellular MBNL concentrations from splicing responses of select events correlated with total spliceopathy and revealed a distinct, triphasic pattern of AS dysregulation across pediatric development. CDM infants (< 2 years) possess severe mis-splicing that significantly improves in early childhood (2-8 years) independent of sex or CTG repeat load. Adolescent individuals (8-16 years) stratified into two populations with a full range of global splicing dysregulation. DMPK expression changes correlated with alterations in splicing severity during development. This study reveals the complex dynamics of the CDM muscle transcriptome and provides insights into new therapeutic strategies, timing of therapeutic intervention, and biomarker development.

Indexed as

Myotonic DystrophyChild, PreschoolHumansMuscle, SkeletalMyotonin-Protein KinaseRNA SplicingTranscriptomeTrinucleotide Repeat ExpansionMyotonin-Protein Kinase

Identifiers

PMID36222125
PMCPMC10117163
OpenAlexW4304758230

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.