Literature DB >> 22215539

Diagnostic challenges of mitochondrial disorders: complexities of two genomes.

Brett H Graham1.   

Abstract

Mitochondrial disorders causing respiratory chain dysfunction comprise a group of genetically and clinically heterogeneous diseases. This heterogeneity reflects both the biochemical complexity of oxidative phosphorylation and the genetic contribution of both the nuclear and mitochondrial genomes to the respiratory chain. Current approaches to diagnose and classify mitochondrial disorders incorporate clinical, biochemical, and histological criteria, as well as DNA-based molecular diagnostic testing. While the identification of pathogenic mutations is generally accepted as definitive, the large number of candidate nuclear genes, the involvement of two genomes, and potential heteroplasmy of pathogenic mitochondrial DNA (mtDNA) frequently complicate successful molecular diagnostic confirmation. The strategy for pursuing a diagnosis derives from the integration of family history, clinical findings, biochemical evaluations, histopathological analyses, neuroradiological results, and the availability of different tissues for analyses. Screening for common point mutations and large deletions in mtDNA is usually the first step. Specific subsets of known nuclear disease genes can be screened by direct sequencing for cases of recognizable patterns of respiratory chain deficiencies or clinically identifiable syndromic presentations. Measurement of mtDNA content in affected tissues such as muscle and liver allows screening for mtDNA depletion syndromes. The growing list of known disease-causing genes and the promise of next generation sequencing technologies will undoubtedly improve diagnostic accuracy and genetic counseling for this challenging group of disorders.

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Year:  2012        PMID: 22215539     DOI: 10.1007/978-1-61779-504-6_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  8 in total

1.  Expanding the phenotypic spectrum of Succinyl-CoA ligase deficiency through functional validation of a new SUCLG1 variant.

Authors:  Taraka R Donti; Ruchi Masand; Daryl A Scott; William J Craigen; Brett H Graham
Journal:  Mol Genet Metab       Date:  2016-07-25       Impact factor: 4.797

2.  Mitochondrial dysfunction and cerebral metabolic abnormalities in patients with mitochondrial encephalomyopathy subtypes: Evidence from proton MR spectroscopy and muscle biopsy.

Authors:  Feng-Nan Niu; Hai-Lan Meng; Lei-Lei Chang; Hong-Yan Wu; Wei-Ping Li; Ren-Yuan Liu; Hui-Ting Wang; Bing Zhang; Yun Xu
Journal:  CNS Neurosci Ther       Date:  2017-07-11       Impact factor: 5.243

3.  Cerebral metabolic abnormalities in A3243G mitochondrial DNA mutation carriers.

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Journal:  Neurology       Date:  2014-01-29       Impact factor: 9.910

Review 4.  Genetic counseling in mitochondrial disease.

Authors:  Jodie M Vento; Belen Pappa
Journal:  Neurotherapeutics       Date:  2013-04       Impact factor: 7.620

5.  Two transgenic mouse models for β-subunit components of succinate-CoA ligase yielding pleiotropic metabolic alterations.

Authors:  Gergely Kacso; Dora Ravasz; Judit Doczi; Beáta Németh; Ory Madgar; Ann Saada; Polina Ilin; Chaya Miller; Elsebet Ostergaard; Iordan Iordanov; Daniel Adams; Zsuzsanna Vargedo; Masatake Araki; Kimi Araki; Mai Nakahara; Haruka Ito; Aniko Gál; Mária J Molnár; Zsolt Nagy; Attila Patocs; Vera Adam-Vizi; Christos Chinopoulos
Journal:  Biochem J       Date:  2016-08-05       Impact factor: 3.857

6.  Novel SARS2 variants identified in a Chinese girl with HUPRA syndrome.

Authors:  Yi Zhou; Cheng Zhong; Qin Yang; Gaofu Zhang; Haiping Yang; Qiu Li; Mo Wang
Journal:  Mol Genet Genomic Med       Date:  2021-03-10       Impact factor: 2.183

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

Authors:  Wei Wang; Junying Song; Yunhai Chuai; Fu Chen; Chunlan Song; Mingming Shu; Yayun Wang; Yunfei Li; Xinyu Zhai; Shujie Han; Shun Yao; Kexin Shen; Wei Shang; Lei Zhang
Journal:  Sci Rep       Date:  2021-12-13       Impact factor: 4.379

8.  Screen for abnormal mitochondrial phenotypes in mouse embryonic stem cells identifies a model for succinyl-CoA ligase deficiency and mtDNA depletion.

Authors:  Taraka R Donti; Carmen Stromberger; Ming Ge; Karen W Eldin; William J Craigen; Brett H Graham
Journal:  Dis Model Mech       Date:  2013-11-21       Impact factor: 5.758

  8 in total

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