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Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing
Published on: February 10, 2023
Clinical Spectrum, Heteroplasmy-Phenotype Correlation, and Prognosis of the MT-ND3 m.10191 T > C Mutation
Zimeng He1, Huafang Jiang1,2, Tongyue Li1
1Department of Neurology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Aim:
To systematically characterize the phenotypic spectrum, neuroimaging features, heteroplasmy-phenotype correlation, and prognosis of the m.10191 T > C mutation.
Methods:
We collected and analyzed data from 52 patients (14 newly recruited; 38 from literature). Phenotypes were pre-classified as Leigh syndrome (LS), Leigh-like syndrome (LLS), MELAS/LS overlap syndrome, and MELAS-like syndrome. Neuroimaging data were subjected to statistical analysis to explore inter-lesional associations and lesion-symptom correlations. Heteroplasmy level underwent k-means clustering and latent class analysis (LCA) to define data-driven subgroups and model genotype-phenotype correlations. Prognostic factors were evaluated through Bayesian logistic regression, and survival analysis was conducted.
Results:
The cohort exhibited phenotypic heterogeneity, dominated by LS (46.2%). Key features included epilepsy, developmental delay, and dystonia. Globus pallidus involvement frequently co-occurred with midbrain and pontine lesions. Heteroplasmy level differed significantly across phenotypes. LCA identified three classes corresponding to clinical phenotypes. High heteroplasmy level, medullary involvement, and severe hyperlactatemia were associated with disease progression. Survival analysis indicated a 5 year survival rate of 80.0%, with high heteroplasmy level, hypotonia, and cerebellar lesions predicting poorer survival.
Interpretation:
The m.10191 T > C mutation is linked to a continuous clinical spectrum correlated with heteroplasmy level. Specific clinical and neuroimaging features serve as valuable biomarkers for phenotypic classification and prognostic assessment.
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Translation
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
Translation
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
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