Secondary manifestations of mitochondrial disorders

A Leigh syndrome caused by compound heterozygous mutations on NDUFAF5 induce early infant death: A case report

Background

The NADH:ubiquinone oxidoreductase complex assembly factor gene (NDUFAF5) has been linked to the occurrence of Leigh syndrome, but few causative mutations have been identified. Here we report a rare case of Leigh syndrome in an infant who died in the early postnatal period.

Methods

We performed whole‐exome sequencing (WES) and mutation analysis of NDUFAF5 to obtain genetic data on the patient and describe the clinical and genetic characteristics.

Results

The proband was a 2‐month‐old male infant who suffered from recurrent vomiting and persistent seizure and died at 2 months of age after early medical support and treatment. His parents reported the unexplained death of the infant's older brother at 1 year of age. WES of the patient's DNA revealed c.357C>G and c.611C>T compound heterozygous mutations in NDUFAF5; analysis with the MutationTaster application indicated that both were pathogenic (p = 0.99). Significant structural changes in the transport domain of the protein were predicted using SWISS‐MODEL. We estimated the stability of the mutant protein using a mutation cutoff scanning matrix and found reductions in Gibbs free energy (−0.623 kcal/mol for p.D119E and −0.813 kcal/mol for p.A204V), indicating that the mutations led to an unstable protein structure. We speculated that the patient died as a result of impaired mitochondrial function caused by the NDUFAF5 mutations, and made a diagnosis of Leigh syndrome.

Conclusion

Our results demonstrate that molecular genetic screening is useful for the diagnosis of mitochondrial diseases, especially in children with a positive family history. Leigh syndrome should be considered in the diagnosis of patients presenting with severe recurrent vomiting and feeding difficulties with persistent seizure. Our findings expand the mutation spectrum of the NDUFAF5 gene and contribute to the genotype–phenotype map of mitochondrial respiratory chain complex I deficiency.

The mining and construction of a knowledge base for gene-disease association in mitochondrial diseases

Mitochondrial diseases are a group of heterogeneous genetic metabolic diseases caused by mitochondrial DNA (mtDNA) or nuclear DNA (nDNA) gene mutations. Mining the gene-disease association of mitochondrial diseases is helpful for understanding the pathogenesis of mitochondrial diseases, for carrying out early clinical diagnosis for related diseases, and for formulating better treatment strategies for mitochondrial diseases. This project researched the relationship between genes and mitochondrial diseases, combined the Malacards, Genecards, and MITOMAP disease databases to mine the knowledge on mitochondrial diseases and genes, used database integration and the sequencing method of the phenolyzer tool to integrate disease-related genes from different databases, and sorted the disease-related candidate genes. Finally, we screened 531 mitochondrial related diseases, extracted 26,723 genes directly or indirectly related to mitochondria, collected 24,602 variant sites on 1474 genes, and established a mitochondrial disease knowledge base (MitDisease) with a core of genes, diseases, and variants. This knowledge base is helpful for clinicians who want to combine the results of gene testing for diagnosis, to understand the occurrence and development of mitochondrial diseases, and to develop corresponding treatment methods.

Impact of Mitochondrial DNA Mutations on Carotid Intima-Media Thickness in the Novosibirsk Region

The search for markers of predisposition to atherosclerosis development is very important for early identification of individuals with a high risk of cardiovascular disease. The aim of the present study was to investigate the association of mitochondrial DNA mutations with carotid intima-media thickness and to determine the impact of mitochondrial heteroplasmy measurements in the prognosis of atherosclerosis development. This cross-sectional, population-based study was conducted in 468 subjects from the Novosibirsk region. It was shown that the mean (carotid intima-media thickness) cIMT correlated with the following mtDNA mutations: m.15059G>A (r = 0.159, p = 0.001), m.12315G>A (r = 0.119; p = 0.011), m.5178C>A (r = 0.114, p = 0.014), and m.3256C>T (r = 0.130, p = 0.011); a negative correlation with mtDNA mutations m.14846G>A (r = −0.111, p = 0.042) and m.13513G>A (r = −0.133, p = 0.004) was observed. In the linear regression analysis, the addition of the set of mtDNA mutations to the conventional cardiovascular risk factors increased the ability to predict the cIMT variability from 17 to 27%. Multi-step linear regression analysis revealed the most important predictors of mean cIMT variability: age, systolic blood pressure, blood levels of total cholesterol, LDL and triglycerides, as well as the mtDNA mutations m.13513G>A, m.15059G>A, m.12315G>A, and m.3256C>T. Thus, a high predictive value of mtDNA mutations for cIMT variability was demonstrated. The association of mutation m.13513G>A and m.14846G>A with a low value of cIMT, demonstrated in several studies, represents a potential for the development of anti-atherosclerotic gene therapy.