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Domain-Specific Genotype-Phenotype Correlations in DNM1L Disorders: Insights Into Mutation Hotspots and Clinical
Hui Liang1, Zefu Chen2, Shixiong Huang1
1Department of Neurology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Hainan Clinical Medical Center, Hainan Academician Team Innovation Center, Haikou, People's Republic of China.
Summary
DNM1L disorders are rare mitochondrial diseases. Mutation location in DNM1L dictates disease severity, with Middle domain variants causing severe neurological issues and GTPase domain variants affecting sensory pathways.
Area of Science:
- Genetics
- Mitochondrial Biology
- Neurology
Background:
- DNM1L-related disorders are rare mitochondrial diseases with severe neurological symptoms.
- Current diagnostics and prognostics are challenged by limited genotype-phenotype data.
- DNM1L protein regulates mitochondrial dynamics through fission.
Purpose of the Study:
- To investigate genotype-phenotype correlations in DNM1L disorders.
- To analyze the impact of mutation location within DNM1L domains on clinical outcomes.
- To characterize a novel DNM1L variant (p.Val687del) and its functional consequences.
Main Methods:
- Systematic analysis of 80 reported DNM1L cases and one novel case.
- Extraction and statistical analysis of clinical, genetic, and survival data.
- In vitro functional studies (overexpression, Western blot, immunofluorescence, electron microscopy) of the novel variant.
Main Results:
- A novel GTPase Effector Domain (GED) deletion (p.Val687del) was identified, causing peripheral neuropathy.
- Middle domain mutations are associated with severe encephalopathy (developmental delay, epilepsy, cerebral atrophy).
- GTPase domain mutations primarily impact sensory pathways (optic atrophy, peripheral neuropathy).
Conclusions:
- Mutation location within DNM1L domains is a key determinant of clinical severity and phenotype.
- Middle domain variants define a severe encephalopathic subtype.
- GTPase domain variants predominantly affect sensory pathways, offering a framework for prognostication and targeted therapies.
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