BACKGROUND: Mitochondrial disorders are generally not associated with a clear phenotype-genotype relationship, which complicates the understanding of the disease and genetic counseling. OBJECTIVE: To investigate the relationship between the muscle and blood mitochondrial DNA mutation load and phenotype. DESIGN: Survey. SETTING: The Neuromuscular Research Unit, Rigshospitalet, Copenhagen, Denmark. PARTICIPANTS: Fifty-one persons with the 3243A>G point mutation of mitochondrial DNA, and 20 healthy control subjects. METHODS: We recorded the maximal oxygen uptake (Vo(2)max), maximal workload, resting and peak-exercise plasma lactate levels, muscle and blood mutation load, muscle morphology, and presence of diabetes mellitus and hearing impairment in all subjects. RESULTS: Muscle mutation load (mean +/- SE, 50% +/- 5%; range, 2%-95%) correlated with Vo(2)max and resting plasma lactate level (P<.001; R>/=0.64). All persons except 5 with a muscle mutation load above 50% had abnormal Vo(2)max and morphology on muscle biopsy findings. Persons with hearing impairment and diabetes mellitus had a muscle mutation load above 65%. The mutation load in blood (mean +/- SE, 18% +/- 3%; range, 0%-61%) did not correlate with Vo(2)max, resting plasma lactate levels, or presence of hearing impairment or diabetes mellitus. CONCLUSIONS: This study demonstrates a close relationship between the muscle mutation load and phenotype in persons carrying the 3243A>G mutation. The lack of correlation between the mutation load in blood and symptoms from other tissues emphasizes the importance of assessing phenotype-genotype correlations in the same tissue in mitochondrial disease. The results indicate that the threshold of muscle mutation load at which oxidative impairment occurs can be as low as 50%, which is as much as 40% lower than that suggested by in vitro studies.
BACKGROUND:Mitochondrial disorders are generally not associated with a clear phenotype-genotype relationship, which complicates the understanding of the disease and genetic counseling. OBJECTIVE: To investigate the relationship between the muscle and blood mitochondrial DNA mutation load and phenotype. DESIGN: Survey. SETTING: The Neuromuscular Research Unit, Rigshospitalet, Copenhagen, Denmark. PARTICIPANTS: Fifty-one persons with the 3243A>G point mutation of mitochondrial DNA, and 20 healthy control subjects. METHODS: We recorded the maximal oxygen uptake (Vo(2)max), maximal workload, resting and peak-exercise plasma lactate levels, muscle and blood mutation load, muscle morphology, and presence of diabetes mellitus and hearing impairment in all subjects. RESULTS: Muscle mutation load (mean +/- SE, 50% +/- 5%; range, 2%-95%) correlated with Vo(2)max and resting plasma lactate level (P<.001; R>/=0.64). All persons except 5 with a muscle mutation load above 50% had abnormal Vo(2)max and morphology on muscle biopsy findings. Persons with hearing impairment and diabetes mellitus had a muscle mutation load above 65%. The mutation load in blood (mean +/- SE, 18% +/- 3%; range, 0%-61%) did not correlate with Vo(2)max, resting plasma lactate levels, or presence of hearing impairment or diabetes mellitus. CONCLUSIONS: This study demonstrates a close relationship between the muscle mutation load and phenotype in persons carrying the 3243A>G mutation. The lack of correlation between the mutation load in blood and symptoms from other tissues emphasizes the importance of assessing phenotype-genotype correlations in the same tissue in mitochondrial disease. The results indicate that the threshold of muscle mutation load at which oxidative impairment occurs can be as low as 50%, which is as much as 40% lower than that suggested by in vitro studies.
Authors: Markus M Lindroos; Jussi P Pärkkä; Markku T Taittonen; Patricia Iozzo; Mikko Kärppä; Ilmo E Hassinen; Juhani Knuuti; Pirjo Nuutila; Kari Majamaa Journal: J Inherit Metab Dis Date: 2015-06-26 Impact factor: 4.982
Authors: Ayman W El-Hattab; Lisa T Emrick; Jean W Hsu; Sirisak Chanprasert; Farook Jahoor; Fernando Scaglia; William J Craigen Journal: Mitochondrion Date: 2014-07-30 Impact factor: 4.160
Authors: Mahsa Mehrazin; Sara Shanske; Petra Kaufmann; Ying Wei; Jorida Coku; Kristin Engelstad; Ali Naini; Darryl C De Vivo; Salvatore DiMauro Journal: Am J Med Genet A Date: 2009-02-15 Impact factor: 2.802