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Phenotype-Genotype Analysis Based on Molecular Classification in 135 Children With Mitochondrial Disease - 15/06/22

Doi : 10.1016/j.pediatrneurol.2022.04.013 
Tenghui Wu, MS a, b, Fang He, MD a, b, Neng Xiao, MD c, Yunli Han, MD d, Liming Yang, MD e, Jing Peng, MD, PhD a, b, ⁎
a Department of Pediatrics, XiangYa Hospital Central South University, Changsha, China 
b Hunan Children's Mental Disorders Research Center, XiangYa Hospital, Central South University, Changsha, China 
c Department of Pediatric Neurology, Chenzhou First People's Hospital, Chenzhou, China 
d Department of Pediatrics, The First Affiliated Guangxi Medical University, Nanning, China 
e Department of Neurology, Hunan Children's Hospital, Changsha, China 

∗Communications should be addressed to: Dr. Peng; Department of Pediatrics; XiangYa Hospital Central South University; Hunan Children's Mental Disorders Research Center; Address: 87 Xiangya Road; Changsha, Hunan Province, China.Department of PediatricsXiangYa Hospital Central South UniversityHunan Children's Mental Disorders Research CenterAddress: 87 Xiangya RoadChangshaHunan ProvinceChina

Abstract

Objectives

Over the past decades, mitochondrial disease classification has been mainly based on molecular defects. We aim to analyze phenotype-genotype correlation of mitochondrial disorders according to molecular classification.

Methods

In this cohort study, we identified 135 individuals diagnosed with mitochondrial disorders, and all patients were divided into four subgroups based on molecular functions: the Respiratory Chain group (including subunits and assembly proteins in the respiratory chain), the Protein Synthesis group (including mitochondrial RNA metabolism, mitochondrial translation), the mitcohindrial DNA (mtDNA) Replication group, and the Others group (including cofactors, homeostasis, substrates, and inhibitors).

Results

We found that in China, patients with the mtDNA variant constituted a large percentage of mitochondrial disease and were associated with a male preponderance in the Respiratory Chain group, whereas those in the Protein Synthesis group showed a relatively later onset and higher serum lactate level. In contrast, patients with nuclear DNA variants were younger at onset, with no specific lactate or cranial imaging features, especially in the Others group, which contained several mitochondrial diseases with corresponding treatment.

Conclusion

The mtDNA was recommended to detect first in patients with typical lactate and cranial imaging features. A broader consideration and detection are necessary for a better prognosis in an atypical patient.

El texto completo de este artículo está disponible en PDF.

Keywords : Pediatrics, Mitochondrial disease, Molecular classification, Genotypes, Phenotypes


Esquema


 Funding: This work was supported by the National Natural Science Foundation of China (The pathogenic mechanism of epileptic encephalopathy caused by E/I imbalance of neural network affected by KCNA2 mutations with different functional states, NO. 82071462).
 Conflicts of interest: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
 Availability of data and material: All data is available upon request.
 Code availability: Not applicable.
 Authors' contributions: J.P. designed the study. T.H.W., F.H., N.X., Y.L.H., and L.M.Y. summarized the clinical presentations and relative data. T.H.W. wrote the manuscript. J.P. performed the discussion points in a manuscript draft. All authors approved its final version.
 Ethics approval: Ethical approval for this study was obtained from Xiangya Hospital Ethics Committee.
 Consent to participate (include appropriate statements): Informed consent was obtained from the guardian of patient.
 Consent for publication: Written informed consent for publication was obtained from the guardian of patient.


© 2022  Elsevier Inc. Reservados todos los derechos.
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