Evidence map›Paper›PMID 37455597›Full record

ArticleMolecular genetics & genomic medicine2023

MRI characteristics due to gene mutations in a Chinese pedigree with Lafora disease.

Yueqian Sun, Ziqi Zhou, Qun Wang, Jing Yan, Zaiqiang Zhang, Tao Cui

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Yueqian SunDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-8607-6441
Ziqi ZhouDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Qun WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jing YanDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zaiqiang ZhangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Tao CuiDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CN

Funding

Beijing Key Laboratory of Epilepsy 2021DXBL02Beijing Natural Science Foundation Z200024Beijing-Tianjin-Hebei Cooperative Basic Research Program H2018206435Capital Health Research and Development of Special grants 2016-1-2011Capital Health Research and Development of Special grants 2020-1-2013National Key R&D Program of China grant 2017YFC1307500National Key R&D Program of China grant 2022YFC2503800
6 · The paper itself

Abstract

background and purposeLafora disease (LD) is a very rare autosomal recessive disorder manifesting primarily as fatal, congenital, and neurodegenerative epilepsies. We aimed to describe the MRI characteristics due to gene mutations in a Chinese pedigree with LD.

methodsWhole-exome sequencing, muscle biopsy, pedigree analysis, and MRI analysis were conducted. Five family members (two of whom were affected by LD) were whole-genome sequenced. Longitudinal changes in brain MRI volumes were analyzed by Freesurfer.

resultsWe identified a new intron heterozygous mutation in the EMP2A gene c.71 (exon 1) G>A in a Chinese LD pedigree that was characterized by refractory seizures, progressive vision impairment, and declines in motor and cognitive functions. The patient suffered generalized tonic-clonic seizures since the age of 15 years and had severe forms of progressive myoclonic seizure. She eventually died after being admitted to the intensive care unit due to status epilepticus at the age of 24 years. Period acid Schiff staining showed positive polyglucosan particles in muscle biopsy specimens. Regions of atrophy in the whole brain, and especially in the hippocampus, were detected.

conclusionsWe identified a new heterozygous mutation (c.71+1G>A) in a Chinese LD pedigree, which broadens the mutation spectrum of LD genes. We found that the patient exhibited brain volumetric atrophy along with rapidly worsening symptoms. These results contribute to our understanding of LD.

Indexed as

Lafora DiseaseMutationAdultBrainEast Asian PeopleFemaleHumansMagnetic Resonance ImagingMalePedigreeProtein Tyrosine Phosphatases, Non-ReceptorYoung AdultEPM2A protein, humanProtein Tyrosine Phosphatases, Non-Receptorbrain atrophyLafora diseaseMRImutationpedigree

Identifiers

PMID37455597
PMCPMC10568394
OpenAlexW4384493248

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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.