Mitochondrial DNA Depletion Syndromes Gene Panel Versus Clinical Exome Sequencing in Children with Suspected Mitochondrial Hepatopathies

Molecular Syndromology(2024)

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摘要
Introduction: Mitochondrial DNA depletion syndromes (MDDSs) are a group of clinically and genetically heterogeneous disorders. In the present study, we aimed to investigate the frequency of MDDS in children under the age of 5 years with suspected mitochondrial hepatopathy and to evaluate this group of patients using MDDS gene panel and clinical exome sequencing (CES) genetic analysis methods. Methods: Patients under 5 years of age who were clinically suspected to have mitochondrial hepatopathy and had neonatal acute liver failure, hepatic steatohepatitis, cholestasis, or cirrhosis with chronic liver failure of insidious onset were included. Results: Forty patients (20 female, 50%) were enrolled, with a median age of 102 [57–263.8] days. Icteric appearance was identified in 28 (70%) of the patients, hepatomegaly in 27 (67.5%), splenomegaly in 10 (25.0%), and hypotonicity in 10 (25.0%); moreover, elevated international normalized ratio was detected in 77.5%, cholestasis in 77.5%, and elevated lactate levels in 62.5%. Molecular genetic diagnosis was made in 9 patients (22.5%) with the MDDS gene panel and in 17 (42.5%) patients with the CES analysis. All patients diagnosed with MDDS had a history of parental consanguinity, while the rate in those without MDDS was 54.8% (p = 0.012). High lactate levels were identified in all those with MDDS, but in only 51.6% of those without MDDS (p = 0.020). Conclusion: Present study revealed that demographic findings and laboratory assessments are insufficient to diagnose genetically inherited diseases in children presenting with hepatic involvement. While one-fifth of the patients with suspected mitochondrial hepatopathies were diagnosed with MDDS, it is revealed that around half of patients can be diagnosed with CES panel.
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关键词
Mitochondria,Hepatopathy,Mitochondrial DNA depletion syndrome,Clinical exome sequencing analysis,Gene panel
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