ArticleScientific reports2025
A cellular assay to determine the fusion capacity of MFN2 variants linked to Charcot-Marie-Tooth disease of type 2 A.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Using image classifiers to predict CMT2A disease-relevant mitochondrial motility phenotypes in iPSC motor neurons.bioRxiv : the preprint server for biology · 2026Article
- Drug repurposing screen identifies an HRI activating compound that promotes adaptive mitochondrial remodeling in MFN2-deficient cells.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Drug Repurposing Screen Identifies an HRI Activating Compound that Promotes Adaptive Mitochondrial Remodeling in MFN2-deficient Cells.bioRxiv : the preprint server for biology · 2025Article
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5 authors.
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Abstract
Charcot-Marie-Tooth Disease (CMT) is an inherited peripheral neuropathy with two main forms: demyelinating CMT1 and axonal CMT2. The most frequent subtype of CMT2 (CMT2A) is linked to mutations of MFN2, encoding a ubiquitously expressed GTP-binding protein anchored to the mitochondrial outer membrane and essential for mitochondrial fusion. The use of Next-Generation Sequencing has led to the identification of increasing numbers of MFN2 variants, yet many of them remain of unknown significance, depriving patients of a clear diagnosis. In this work, we establish a cellular assay allowing to assess the impact of 12 known MFN2 variants linked to CMT2A on mitochondrial fusion. The functional analysis revealed that out of the 12 selected MFN2 mutations, only six exhibited reduced fusion activity. The classification of MFN2 variants according to the results of the functional assay revealed a correlation between the fusion capacity, the age at onset of CMT2A and computational variant effect predictions relying on the analysis of the protein sequence. The functional assay and the results obtained will assist and improve the classification of novel MFN2 variants identified in patients.
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