Evidence map›Paper›PMID 35099838›Full record

ArticleMolecular genetics & genomic medicine2022

De novo DYNC1H1 mutation causes infantile developmental and epileptic encephalopathy with brain malformations.

Tangfeng Su, Yu Yan, Qingqing Hu, Yan Liu, Sanqing Xu

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Tangfeng SuDepartment of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-1925-5519
Yu YanDepartment of Neurology, People's Hospital of Dongxihu District, Wuhan, China.
Qingqing HuDepartment of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yan LiuDepartment of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Sanqing XuDepartment of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Tongji Hospital · CNWuhan Dongxihu District People Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe human dynein cytoplasmic 1 heavy chain 1 (DYNC1H1) gene encodes a large subunit of the cytoplasmic dynein complex. DYNC1H1 mutations are associated with various neurological diseases involving both the peripheral and central nervous systems.

methodsThe clinical characteristics and genetic data of an infant carrying the de novo DYNC1H1 variant identified by trio exome sequencing were analyzed. Patients with epilepsy with DYNC1H1 mutations were summarized by reviewing the literature.

resultsWe first identified an infant presenting with epileptic spasms harboring a de novo missense mutation in DYNC1H1 (c.874C>T; p. Arg292Trp), once reported in an adult case, and further summarized another 54 patients with seizures or epilepsy caused by DYNC1H1 pathogenic variants in the literature. Refractory epilepsy, intellectual disability, and cortical developmental malformations are crucial characteristics of patients with developmental and epileptic encephalopathy (DEE) caused by DYNC1H1 variants. Notably, epileptic spasms in this case were resistant to multiple anti-seizure medications, corticosteroids, ketogenic diet, and vagus nerve stimulation treatment. The child also showed cortical gyrus malformation and global developmental delay.

conclusionDYNC1H1 variants can cause infantile developmental and epileptic encephalopathy, in which Arg292Trp is a mutation hotspot of the DYNC1H1 gene. Epileptic seizures in this type of DYNC1H1-related DEE are mostly resistant to multiple antiepileptic strategies and need to explore optimized treatments.

Indexed as

Brain DiseasesNervous System MalformationsSpasms, InfantileAdultBrainChildCytoplasmic DyneinsHumansInfantMutationSpasmCytoplasmic DyneinsDYNC1H1 protein, humandevelopmental and epileptic encephalopathydynein cytoplasmic 1 heavy chain 1epileptic spasmsketogenic dietvagus nerve stimulation

Identifiers

PMID35099838
PMCPMC8922968
OpenAlexW4210333359

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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.