CLINICAL EXPERIENCE OF NEUROLOGICAL MITOCHONDRIAL DISEASES IN CHILDREN AND ADULTS: A SINGLE-CENTER STUDY
Rogac M, Neubauer D, Leonardis L, Pecaric N, Meznaric M, Maver A, Sperl W, Garavaglia BM, Lamantea E, Peterlin B
*Corresponding Author: Mihael Rogac, M.D., Ph.D., Clinical Institute of Genomic Medicine, University Medical Center Ljubljana, Slajmerjeva 4, 1000 Ljubljana, Slovenia. Tel: +386-1-522-6078. Fax: +386-1-540-1137. E-mail: mihael.rogac@kclj.si
page: 5

DISCUSSION

Slovenia is a small European high-income country with 2.1 million inhabitants and an estimated prevalence of MD of three per 100,000 inhabitants, a finding that is in accordance with other population studies of MD prevalence [2]. Determining a diagnosis of MD is a complex algorithm due to its extremely heterogeneous character, genetic diversity and complex laboratory diagnostic methods. With the majority of our mitochondrial patients we still have to use a laborious approach with muscle biopsies in the end. Obviously, in the genomic era, the new diagnostic algorithms will improve the diagnostic approach, and influence the development of new standards for early diagnosis and possible treatment [3,9,20]. Our study has mostly been done on unspecific encephalomyopathies in children and neuromuscular patients in adults. Thirty-one percent of cases were defined by CES in both our cohorts. Clinical-exome sequencing has been used when a pathology in the mitochondrial genome was not suspected or was excluded. In almost all of the children in the study, a diagnosis of MD was first suspected, based on the results of metabolic deviations in plasma, urine or CSF or abnormal brain MRI. In adults, an MD diagnosis has still been defined by muscle histology findings. Twenty of 30 adult patients had abnormal mitochondria on EM and 16/30 adult patients presented ragged-red fibers. Therefore, clinical knowledge, metabolic investigations, brain imaging and muscle biopsies have still been valuable in our clinical scenario until 2018. Promising potential of whole-exome sequencing (WES) as a first diagnostic option in finding mutations in genes related to mitochondrial dys-functions will probably reverse the classical diagnostic approach [21,22]. Our clinical and diagnostic patient data were put together according to MDC scoring. It has previously been demonstrated that a high MDC scores increases the likelihood of finding a genetic diagnosis by WES [23,24]. Witters et al. [8] found that the combined metabolic findings and imaging sub scores were higher in mitochondrial patients who were diagnosed when Sanger sequencing was used as a genetic analysis tool, and where a cliniciandirected genetic analysis to a target gene was based on a clinical phenotype. The MDC scores are still found very useful in the clinical diagnosis of MDs. The MDC scores are helpful in interpreting exome-sequencing results or deciding on the need to perform a muscle biopsy [8]. The importance of MDC scoring and recognizing the patient’s clinical phenotype is in accordance with what we found in our clinical data. Moreover, in our cohort, MDC score was used to conduct muscle biopsy not molecular genetic studies. Twenty of 26 children and 22/36 adults in our cohort reached a score of a definite MD. In all children, a diagnosis was confirmed by RCEs and PDHc activities measurements and when a high MDC score was reached before a muscle biopsy. Molecular genetic diagnosis was confirmed in 5/26 children. In adults a diagnosis of MD was confirmed in six patients with measurements of RCE activities, and reached a confirmation in 11 patients by molecular genetic analysis. Sixteen of 36 patients had CPEO syndrome, which is still challenging to diagnose at the genetic level [25]. The MDC score was found to be a useful tool for determining whether a muscle biopsy was used in both cohorts of patients, as well as for affirming the certainty of a diagnosis. In future, the MDC score might be also useful in using WES results to reach a diagnosis of a definite MD before performing a muscle biopsy, especially in children. Next-generation sequencing methods are becomig the first diagnostic tool in the genomic era. Whole-genome sequencing (WGS) of blood DNA is also going to contribute as the first-line method for diagnosing a primary MD [3]. Whole-genome sequencing has overtaken WES as the preferred NGS method for DNA sequencing [26-28]. Whole-genome sequencing is better for detecting copy number variations (CNVs), single nucleotide variants, insertions/deletions, and in principle, microRNA (miRNA) variants. However, even with WES, results are not going to be so straightforward. Four scenarios of molecular results are possible for diagnoses derived from the WES approach [9]. At the very least, a skin biopsy and fibroblast- related studies will be needed to evaluate variances of unknown significance (VUS) or new candidate genes. For now, the results of CES in our cohort of patients, gave us a promising yield (positive in 7/22 or 31.0% cases) compared to a yield of 39.0-55.0% in centers abroad [23,29]. Next-generation sequencing methods can also discriminate molecular mimicry or confirm a molecular diagnosis, even in cases of probable or possible groups of MD (Table 8). Buccal swabs for mtDNA isolation are showing us a potential as a noninvasive approach to diagnose mtDNA pathogenic variations, but we had a limited number of suspected mtDNA syndrome cases (Table 8). Large mitochondrial centers are searching for a geno- type-phenotype correlation in neuroimaging of MDs [30-32]. Mitochondrial diseases are not only commonly described as multi-systemic diseases, but also demonstrate neuroradiological changes in several functional systems of the central nervous system. Pathognomonic MRI changes for MDs can be found in the cerebral cortex, white matter, basal ganglia, cerebellum and brainstem [31]. The same is true in neuroimaging of MDs, as the meaning of pleitropy is known in genetics. For example, it is true that one pathognomonic MRI characteristic can be a result of many genes related to mitochondrial dysfunction. A genetic cause of Leigh sydnrome can also be found in 75 genes [33]. Nevertheless, through our study, we can demonstrate that in 71.0% of children with MD we have found brain MRI changes that can be a clue to a diagnosis of MD. Therefore, we can suggest that MRI is still the diagnostic tool of choice in selected cases that serves to provide at least one piece of the puzzle, particularly if we have a genetic result of VUS or negative results by WES. Magnetic resonance imaging also demonstrates that MD has the dynamic nature of a chronic disease (Table 7) (Figure 1). Some of the brain MRI characteristics present as a degree of cortical atrophy, dysmyelination and/or basal ganglia hyperintensities can change over a period of several years of follow-up (Table 7) (Figure 1). One of the diagnostic problems in MDs is diagnostic mimicry. Clinical presentation of MD can present as a metabolic, neurodegenerative, neuromuscular or neuroin-flammatory diseases [34,35]. When we suspect a primary MD, another molecular cause can be found and mitochondrial dysfunction is only secondary [36]. This is demonstrated by the example of two clinical cases with pathogenic variants in a gene for a congenital myasthenic syndrome and Allan-Herndon-Dudley syndrome of triiodo-thyronine resistance that have been found by CES. In these cases, even muscle morphology and OXPHOS measurements of a skeletal muscle specimen and brain MRI have been misleading. We emphasize how important WES is in the differentiation of rare neurogenetic diseases mimicking as an MD. In conclusion, MDs have remained a very heterogeneous group of neurometabolic diseases on a clinical, biochemical and genetic level of diagnostics. The goal of being noninvasive and cost-efficient is guiding us to choose a new way of the “gene-to-function” approach, instead of the old way as the “function-to-gene” approach. Solving the diagnostic puzzle(s) in either way is still a challenging task. For clinical purposes, the MDC has been a valuable tool in the diagnosis of MDs in children and adults. Obviously, the NGS methods are likely to contribute to end many diagnostic odysseys. Declaration of Interest. The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article.



Number 27
VOL. 27 (2), 2024
Number 27
VOL. 27 (1), 2024
Number 26
Number 26 VOL. 26(2), 2023 All in one
Number 26
VOL. 26(2), 2023
Number 26
VOL. 26, 2023 Supplement
Number 26
VOL. 26(1), 2023
Number 25
VOL. 25(2), 2022
Number 25
VOL. 25 (1), 2022
Number 24
VOL. 24(2), 2021
Number 24
VOL. 24(1), 2021
Number 23
VOL. 23(2), 2020
Number 22
VOL. 22(2), 2019
Number 22
VOL. 22(1), 2019
Number 22
VOL. 22, 2019 Supplement
Number 21
VOL. 21(2), 2018
Number 21
VOL. 21 (1), 2018
Number 21
VOL. 21, 2018 Supplement
Number 20
VOL. 20 (2), 2017
Number 20
VOL. 20 (1), 2017
Number 19
VOL. 19 (2), 2016
Number 19
VOL. 19 (1), 2016
Number 18
VOL. 18 (2), 2015
Number 18
VOL. 18 (1), 2015
Number 17
VOL. 17 (2), 2014
Number 17
VOL. 17 (1), 2014
Number 16
VOL. 16 (2), 2013
Number 16
VOL. 16 (1), 2013
Number 15
VOL. 15 (2), 2012
Number 15
VOL. 15, 2012 Supplement
Number 15
Vol. 15 (1), 2012
Number 14
14 - Vol. 14 (2), 2011
Number 14
The 9th Balkan Congress of Medical Genetics
Number 14
14 - Vol. 14 (1), 2011
Number 13
Vol. 13 (2), 2010
Number 13
Vol.13 (1), 2010
Number 12
Vol.12 (2), 2009
Number 12
Vol.12 (1), 2009
Number 11
Vol.11 (2),2008
Number 11
Vol.11 (1),2008
Number 10
Vol.10 (2), 2007
Number 10
10 (1),2007
Number 9
1&2, 2006
Number 9
3&4, 2006
Number 8
1&2, 2005
Number 8
3&4, 2004
Number 7
1&2, 2004
Number 6
3&4, 2003
Number 6
1&2, 2003
Number 5
3&4, 2002
Number 5
1&2, 2002
Number 4
Vol.3 (4), 2000
Number 4
Vol.2 (4), 1999
Number 4
Vol.1 (4), 1998
Number 4
3&4, 2001
Number 4
1&2, 2001
Number 3
Vol.3 (3), 2000
Number 3
Vol.2 (3), 1999
Number 3
Vol.1 (3), 1998
Number 2
Vol.3(2), 2000
Number 2
Vol.1 (2), 1998
Number 2
Vol.2 (2), 1999
Number 1
Vol.3 (1), 2000
Number 1
Vol.2 (1), 1999
Number 1
Vol.1 (1), 1998

 

 


 About the journal ::: Editorial ::: Subscription ::: Information for authors ::: Contact
 Copyright © Balkan Journal of Medical Genetics 2006