Evidence map›Paper›PMID 39399465›Full record

ArticleFrontiers in pharmacology2024

Unraveling the pathogenic mechanism of a novel filamin a frameshift variant in periventricular nodular heterotopia.

Chunran Xue, Yishu Wang, Jing Peng, Sisi Feng, Yangtai Guan, Yong Hao

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

6 authors.

Chunran Xue *Department of Neurology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yishu Wang *Department of Neurology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jing Peng *Department of Neurology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Sisi FengState Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Yangtai GuanDepartment of Neurology, Punan Branch, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yong HaoDepartment of Neurology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Periventricular nodular heterotopia (PVNH) is a neuronal migration disorder caused by the inability of neurons to move to the cortex. Patients with PVNH often experience epilepsy due to ectopic neuronal discharges. Most cases of PVNH are associated with variations in filamin A ( Methods: Next-generation sequencing was performed to detect variants in the patient with PVNH, and the findings were confirmed using Sanger sequencing. Iterative threading assembly refinement was used to predict the structures of the variant proteins, and the search tool for the retrieval of interacting genes/proteins database was used to determine the interactions between FLNA and motility-related proteins. An induced pluripotent stem cell (iPSC) line was generated as a disease model by reprogramming human peripheral blood mononuclear cells. The FLNA expression in iPSCs was assessed using western blot and quantitative real-time polymerase chain reaction (qRT-PCR). Immunofluorescence analysis was performed to determine the arrangement of F-actin. Results: A novel Conclusion: Our findings indicate that the frameshift variant of

Indexed as

epilepsyf-actinfilamin Ainduced pluripotent stem cellperiventricular nodular heterotopia

Identifiers

PMID39399465
PMCPMC11466872

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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.