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Smullen M, Olson MN, Murray LF, Suresh M, Yan G, Dawes P, Barton NJ, Mason JN, Zhang Y, Fernandez-Fontaine AA, Church GM, Mastroeni D, Wang Q, Lim ET, Chan Y, Readhead B. Modeling of mitochondrial genetic polymorphisms reveals induction of heteroplasmy by pleiotropic disease locus 10398A>G. Sci Rep 2023; 13:10405. [PMID: 37369829 DOI: 10.1038/s41598-023-37541-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 06/23/2023] [Indexed: 06/29/2023] Open
Abstract
Mitochondrial (MT) dysfunction has been associated with several neurodegenerative diseases including Alzheimer's disease (AD). While MT-copy number differences have been implicated in AD, the effect of MT heteroplasmy on AD has not been well characterized. Here, we analyzed over 1800 whole genome sequencing data from four AD cohorts in seven different tissue types to determine the extent of MT heteroplasmy present. While MT heteroplasmy was present throughout the entire MT genome for blood samples, we detected MT heteroplasmy only within the MT control region for brain samples. We observed that an MT variant 10398A>G (rs2853826) was significantly associated with overall MT heteroplasmy in brain tissue while also being linked with the largest number of distinct disease phenotypes of all annotated MT variants in MitoMap. Using gene-expression data from our brain samples, our modeling discovered several gene networks involved in mitochondrial respiratory chain and Complex I function associated with 10398A>G. The variant was also found to be an expression quantitative trait loci (eQTL) for the gene MT-ND3. We further characterized the effect of 10398A>G by phenotyping a population of lymphoblastoid cell-lines (LCLs) with and without the variant allele. Examination of RNA sequence data from these LCLs reveal that 10398A>G was an eQTL for MT-ND4. We also observed in LCLs that 10398A>G was significantly associated with overall MT heteroplasmy within the MT control region, confirming the initial findings observed in post-mortem brain tissue. These results provide novel evidence linking MT SNPs with MT heteroplasmy and open novel avenues for the investigation of pathomechanisms that are driven by this pleiotropic disease associated loci.
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Affiliation(s)
- Molly Smullen
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- NeuroNexus Institute, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
| | - Meagan N Olson
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- NeuroNexus Institute, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
| | - Liam F Murray
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- NeuroNexus Institute, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
| | - Madhusoodhanan Suresh
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- NeuroNexus Institute, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
| | - Guang Yan
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- NeuroNexus Institute, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
| | - Pepper Dawes
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- NeuroNexus Institute, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
| | - Nathaniel J Barton
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- NeuroNexus Institute, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
| | - Jivanna N Mason
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- NeuroNexus Institute, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
| | - Yucheng Zhang
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- NeuroNexus Institute, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
| | - Aria A Fernandez-Fontaine
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- NeuroNexus Institute, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
| | - George M Church
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, 02115, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02115, USA
| | - Diego Mastroeni
- ASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, 85281, USA
| | - Qi Wang
- ASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, 85281, USA
| | - Elaine T Lim
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- NeuroNexus Institute, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
| | - Yingleong Chan
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA.
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA.
- NeuroNexus Institute, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA.
| | - Benjamin Readhead
- ASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, 85281, USA.
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Ding D, Chen Z, Wang C, Tang X, Zhang L, Fang Q, Qiu R, Jiang H. A Variant in Genes of the NPY System as Modifier Factor of Machado-Joseph Disease in the Chinese Population. Front Aging Neurosci 2022; 14:822657. [PMID: 35185528 PMCID: PMC8851415 DOI: 10.3389/fnagi.2022.822657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 01/11/2022] [Indexed: 11/13/2022] Open
Abstract
Recently, NPY overexpression has been proposed to alleviate motor deficits and neuropathy in Machado-Joseph disease (MJD) mouse models, indicating its neuroprotective role in the pathogenesis of MJD. We aimed to evaluate the association between SNPs in NPY and its receptors and the susceptibility of MJD in the Chinese population. Moreover, we investigated whether these SNPs modulate the age at onset (AO) of MJD. In total, 527 MJD patients and 487 healthy controls were enrolled in the study, and four specific selected SNPs (rs16139, rs3037354, rs2234759, and rs11100494) in NPY and its receptor genes were genotyped. In this study, the genotypic frequency using the dominant model and the allelic distribution of rs11100494 in NPY5R revealed a significant difference between the MJD and control group during the first-stage analysis (P = 0.048 and P = 0.024, respectively). After we expanded the sample size, significant differences were observed between the two groups using the dominant model in genotypic and allelic distribution (P = 0.034, P = 0.046, and P = 0.016, respectively). No significant differences in genotypic and allelic distribution were found between the MJD and control groups for the other three SNPs. All selected SNPs had no significant effect on the AO of MJD. The association of rs11100494 in the NPY5R gene and susceptibility of MJD suggested that the NPY system might be implicated in the pathogenesis of MJD. Our study demonstrated the existence of other genetic modifiers in MJD, along with CAG expansion and known genetic modifier factors, which might lead to a better understanding of MJD pathogenesis.
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Affiliation(s)
- Dongxue Ding
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Zhao Chen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Chunrong Wang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, China
| | - Xiang Tang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Lulu Zhang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Qi Fang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Rong Qiu
- School of Information Science and Engineering, Central South University, Changsha, China
| | - Hong Jiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Diseases, Central South University, Changsha, China
- Laboratory of Medical Genetics, Central South University, Changsha, China
- School of Basic Medical Science, Central South University, Changsha, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- *Correspondence: Hong Jiang,
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Dahadhah FW, Saleh Jaweesh M, Al Zoubi MS, Issam Abu Alarjah M, Hammadeh ME, Amor H. Lack of association between single polymorphic variants of the mitochondrial nicotinamide adenine dinucleotide dehydrogenase 3, and 4L (MT-ND3 and MT-ND4L) and male infertility. Andrologia 2021; 53:e14139. [PMID: 34120353 DOI: 10.1111/and.14139] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 05/03/2021] [Accepted: 05/17/2021] [Indexed: 01/08/2023] Open
Abstract
Male infertility is a multifactorial condition associated with different genetic abnormalities in at least 15%-30% of cases. The purpose of this study was to identify suspected correlations between infertility and polymorphisms in mitochondrial NADH dehydrogenase subunits 3 and 4L (MT-ND3 and MT-ND4L) in subfertile male spermatozoa. Sanger sequencing of the mitochondrial DNA target genes was performed on 68 subfertile and 44 fertile males. Eight single nucleotide polymorphisms (SNPs) in MT-ND3 (rs2853826, rs28435660, rs193302927, rs28358278, rs41467651, rs3899188, rs28358277 and rs28673954) and seven SNPs in MT-ND4L (rs28358280, rs28358281, rs28358279, rs2853487, rs2853488, rs193302933 and rs28532881) were detected and genotyped. The genotypes and allele frequencies of the study population have shown a lack of statistically significant association between MT-ND3 and MT-ND4L SNPs and male infertility. However, no statistically significant association was found between the asthenozoospermia, oligozoospermia, teratozoospermia, asthenoteratozoospermia, oligoasthenoteratozoospermia and oligoteratozoospermia subgroups of subfertile males. However, rs28358278 genotype of the MT-ND3 gene was reported in the subfertile group but not in the fertile group, which implies a possible role of this SNP in male infertility. In conclusion, the investigated polymorphic variants in the MT-ND3 and MT-ND4L genes did not show any significant association with the occurrence of male infertility. Further studies are required to evaluate these findings. Moreover, the subfertile individuals who exhibit a polymorphism at rs28358278 require further monitoring and evaluation.
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Affiliation(s)
- Fatina W Dahadhah
- Department of Obstetrics & Gynaecology, Saarland University, Homburg/Saar, Germany
| | - Mayyas Saleh Jaweesh
- Department of Obstetrics & Gynaecology, Saarland University, Homburg/Saar, Germany
| | - Mazhar Salim Al Zoubi
- Department of Basic Medical Sciences, Faculty of Medicine, Yarmouk University, Irbid, Jordan
| | - Manal Issam Abu Alarjah
- Department of Basic Medical Sciences, Faculty of Medicine, Yarmouk University, Irbid, Jordan
| | - Mohamad Eid Hammadeh
- Department of Obstetrics & Gynaecology, Saarland University, Homburg/Saar, Germany
| | - Houda Amor
- Department of Obstetrics & Gynaecology, Saarland University, Homburg/Saar, Germany
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Kim M, Ahn JH, Mun JK, Choi EH, Kim JS, Youn J, Cho JW. Extracerebellar Signs and Symptoms in 117 Korean Patients with Early-Stage Spinocerebellar Ataxia. J Clin Neurol 2021; 17:242-248. [PMID: 33835745 PMCID: PMC8053557 DOI: 10.3988/jcn.2021.17.2.242] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 11/18/2020] [Accepted: 11/18/2020] [Indexed: 01/07/2023] Open
Abstract
Background and Purpose Spinocerebellar ataxias (SCAs) are the most common form of hereditary ataxias. Extracerebellar signs have been well described and are helpful in differentiating the SCA subtypes. However, there are few reports on the early-stage extracerebellar signs in various SCA subtypes. This study explored the clinical and magnetic resonance imaging (MRI) characteristics of early-stage SCAs in the Korean population. Methods We retrospectively reviewed the medical records of genetically confirmed SCA patients with a disease duration of <5 years. Data on baseline characteristics, extracerebellar signs, and initial MRI findings were organized based on SCA subtypes. Results This study included 117 SCA patients with a median age at onset of 40.6 years. The family history was positive in 71.8% of the patients, and the median disease duration and the score on the Scale for the Assessment and Rating of Ataxia at the initial visit were 2.6 years and 5.0, respectively. SCA3 was the most prevalent subtype, and oculomotor abnormalities were the most frequent extracerebellar signs in early-stage SCAs. Saccadic slowing was characteristic of SCA2 and SCA7, and gaze-evoked nystagmus was prominent in SCA6. Parkinsonism was relatively frequent in SCA8 and SCA3. Decreased visual acuity was specific for SCA7. Dementia was not an early manifestation of SCAs. Brain MRI revealed a pattern of pontocerebellar atrophy in SCA2 and SCA7, while SCA6 demonstrated only cerebellar cortical atrophy. Conclusions SCA patients exhibited diverse extracerebellar signs even in the early stage. Specific extracerebellar signs were characteristic of specific subtypes, which could facilitate differential diagnoses of early-stage SCAs.
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Affiliation(s)
- Minkyeong Kim
- Department of Neurology, Gyeongsang National University Hospital, Jinju, Korea
| | - Jong Hyeon Ahn
- Department of Neurology, Samsung Medical Center, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Jun Kyu Mun
- Department of Neurology, Samsung Medical Center, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Eun Hyeok Choi
- Department of Neurology, Samsung Medical Center, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Ji Sun Kim
- Department of Neurology, Samsung Medical Center, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Jinyoung Youn
- Department of Neurology, Samsung Medical Center, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jin Whan Cho
- Department of Neurology, Samsung Medical Center, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Sungkyunkwan University School of Medicine, Seoul, Korea.
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5
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Du YC, Dong Y, Cheng HL, Li QF, Yang L, Shao YR, Ma Y, Ni W, Gan SR, Wu ZY. Genotype-phenotype correlation in 667 Chinese families with spinocerebellar ataxia type 3. Parkinsonism Relat Disord 2020; 78:116-121. [DOI: 10.1016/j.parkreldis.2020.07.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 07/17/2020] [Accepted: 07/24/2020] [Indexed: 10/23/2022]
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6
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Li QF, Cheng H, Yang L, Ma Y, Zhao J, Dong Y, Wu Z. Clinical features and genetic characteristics of homozygous spinocerebellar ataxia type 3. Mol Genet Genomic Med 2020; 8:e1314. [PMID: 32643267 PMCID: PMC7507100 DOI: 10.1002/mgg3.1314] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 04/26/2020] [Accepted: 04/28/2020] [Indexed: 12/23/2022] Open
Abstract
Background Homozygous spinocerebellar ataxia type 3 (SCA3) patients, which have an expanded cytosine‐adenine‐guanine (CAG) repeat mutation in both alleles of ATXN3, are extremely rare. Clinical features and genetic characteristics of them were seldom studied. Methods We analyzed seven newly homozygous SCA3 patients from five families and 14 homozygotes reported previously. An additional cohort of 30 heterozygous SCA3 patients were analyzed to compare age at onset (AAO). Results Two out of seven SCA3 homozygotes had the minimum CAG repeats reported so far (55/56 and 56/58). Five patients appeared peripheral neuropathy and two had mild cognitive impairment. The AAO was significantly inversely correlated with both the large and small expanded CAG repeats (r = −.7682, p < .0001). The AAO was significantly earlier in homozygous SCA3 than heterozygous ones (32.81 ± 11.86 versus. 49.90 ± 9.73, p < .0001). In addition, the AAO of our seven homozygotes is elder compared to those reported previously (41.29 years vs. 28.57 years), which may be related to the fewer CAG repeats in our seven patients. Conclusion Gene dosage effect may play an important role in the AAO and severity of disease, and homozygosity for ATXN3 enhances phenotypic severity. Our findings expand clinical features and genetic characteristics of homozygous SCA3 patients.
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Affiliation(s)
- Quan-Fu Li
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhouChina
| | - Hao‐Ling Cheng
- Department of Neurology and Institute of NeurologyFirst Affiliated Hospital of Fujian Medical UniversityFuzhouChina
| | - Lu Yang
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhouChina
| | - Yin Ma
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhouChina
| | - Jing‐Jing Zhao
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhouChina
| | - Yi Dong
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhouChina
| | - Zhi‐Ying Wu
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang ProvinceZhejiang University School of MedicineHangzhouChina
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7
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Yuan H, Yang H, Peng L, Peng Y, Chen Z, Wan L, Wang C, Shi Y, Zhang VW, Tang B, Qiu R, Jiang H. Profiling of mitochondrial genomes in SCA3/MJD patients from mainland China. Gene 2020; 738:144487. [PMID: 32087274 DOI: 10.1016/j.gene.2020.144487] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 02/15/2020] [Accepted: 02/19/2020] [Indexed: 02/08/2023]
Abstract
Spinocerebellar ataxia type 3, also known as Machado-Joseph disease (SCA3/MJD), is the most common type of autosomal dominant cerebellar ataxias. Few studies focused on the changes of the whole mitochondrial genomes of SCA3/MJD patients and its relationship with the pathogenesis of SCA3/MJD. We adapted one-step long-range PCR to amplify the entire mitochondrial DNA (mtDNA) followed by next-generation sequencing technology to investigate the information of whole mitochondrial genomes in 38 SCA3/MJD patients and 31 healthy controls from mainland China. Compared to the healthy control group, the mitochondrial variations in SCA3/MJD patients were more concentrated in the tRNA-transcribed genes which were further found to be potentially associated with the pathogenesis of SCA3/MJD by SKAT-O analysis. However, owning variations in tRNA-transcribed genes could not affect the age of onset (AO) of SCA3/MJD patients. We also noticed that the variant loads greater than 90% took up more in SCA3/MJD patients than in controls. Moreover, from our preliminary study, compared to the patients whose ages of onset were elder than 20, the mitochondrial genomes showed no difference in those AO less than 20. This is the first study to demonstrate the feasibility of using the next-generation sequencing technology for mtDNA variant analysis of SCA3/MJD patients from mainland China. And this research enriches the genetic information of SCA3/MJD and provides a direction for further investigations about the mitochondrial genomes in SCA3/MJD.
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Affiliation(s)
- Hongyu Yuan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Huihua Yang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Linliu Peng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yun Peng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhao Chen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Linlin Wan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Chunrong Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yuting Shi
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Victor Wei Zhang
- AmCare Genomics Laboratory, Guangzhou, China; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Diseases, Central South University, Changsha, Hunan, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China; Laboratory of Medical Genetics, Central South University, Changsha, Hunan, China
| | - Rong Qiu
- School of Computer Science and Engineering, Central South University, Changsha, China.
| | - Hong Jiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Diseases, Central South University, Changsha, Hunan, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China; Laboratory of Medical Genetics, Central South University, Changsha, Hunan, China; Xinjiang Medical University, Urumchi, Xinjiang, China.
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8
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Mitchell N, LaTouche GA, Nelson B, Figueroa KP, Walker RH, Sobering AK. Childhood-Onset Spinocerebellar Ataxia 3: Tongue Dystonia as an Early Manifestation. TREMOR AND OTHER HYPERKINETIC MOVEMENTS (NEW YORK, N.Y.) 2019; 9:tre-09-704. [PMID: 31565539 PMCID: PMC6744815 DOI: 10.7916/tohm.v0.704] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 08/12/2019] [Indexed: 12/01/2022]
Abstract
Background Dystonia is a relatively common feature of spinocerebellar ataxia 3 (SCA3). Childhood onset of SCA3 is rare and typically associated with either relatively large, or homozygous, CAG repeat expansions. Case report We describe a 10-year-old girl with SCA3, who presented with tongue dystonia in addition to limb dystonia and gait ataxia due to a heterozygous expansion of 84 repeats in ATXN3. Discussion Diagnosis of the SCAs can be challenging, and even more so in children. Tongue dystonia has not previously been documented in SCA3.
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Affiliation(s)
- Nester Mitchell
- Department of Internal Medicine, Grenada General Hospital, St. George's, GD
| | - Gaynel A LaTouche
- Department of Internal Medicine, Grenada General Hospital, St. George's, GD
| | - Beverly Nelson
- Department of Internal Medicine, Grenada General Hospital, St. George's, GD
| | - Karla P Figueroa
- Department of Pediatrics, Grenada General Hospital, St. George's, GD
| | - Ruth H Walker
- Department of Neurology, University of Utah, Salt Lake City, UT, USA.,Department of Neurology, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA
| | - Andrew K Sobering
- Department of Neurology, Mount Sinai School of Medicine, New York City, NY, USA
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9
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Neuropathology and pathogenesis of extrapyramidal movement disorders: a critical update. II. Hyperkinetic disorders. J Neural Transm (Vienna) 2019; 126:997-1027. [DOI: 10.1007/s00702-019-02030-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Accepted: 06/14/2019] [Indexed: 12/14/2022]
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10
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Polymorphisms in DNA methylation–related genes are linked to the phenotype of Machado-Joseph disease. Neurobiol Aging 2019; 75:225.e1-225.e8. [DOI: 10.1016/j.neurobiolaging.2018.11.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Revised: 09/06/2018] [Accepted: 11/08/2018] [Indexed: 12/16/2022]
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11
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Ramos A, Planchat M, Vieira Melo AR, Raposo M, Shamim U, Suroliya V, Srivastava AK, Faruq M, Morino H, Ohsawa R, Kawakami H, Bannach Jardim L, Saraiva-Pereira ML, Vasconcelos J, Santos C, Lima M. Mitochondrial DNA haplogroups and age at onset of Machado-Joseph disease/spinocerebellar ataxia type 3: a study in patients from multiple populations. Eur J Neurol 2018; 26:506-512. [PMID: 30414314 DOI: 10.1111/ene.13860] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 11/06/2018] [Indexed: 01/16/2023]
Abstract
BACKGROUND AND PURPOSE Mitochondrial dysfunction has been implicated in the pathogenesis of several neurodegenerative disorders, including Machado-Joseph disease (MJD), an autosomal dominant late-onset polyglutamine ataxia that results from an unstable expansion of a CAG tract in the ATXN3 gene. The size of the CAG tract only partially explains age at onset (AO), highlighting the existence of disease modifiers. Mitochondrial DNA (mtDNA) haplogroups have been associated with clinical presentation in other polyglutamine disorders, constituting potential modifiers of MJD phenotype. METHODS A cross-sectional study, using 235 unrelated patients from Portugal, Brazil, India and Japan, was performed to investigate if mtDNA haplogroups contribute to AO of MJD. mtDNA haplogroups were obtained after sequencing the mtDNA hypervariable region I. Patients were classified in 15 phylogenetically related haplogroup clusters. RESULTS The AO was significantly different among populations, implying the existence of other non-CAG factors, which seem to be population specific. In the Portuguese population, patients classified as belonging to haplogroup JT presented the earliest onset (estimated onset 34.6 years of age). Haplogroups W and X seem to have a protective effect, causing a delay in onset (estimated onset 47 years of age). No significant association between haplogroup clusters and AO was detected in the other populations or when all patients were pooled. Although haplogroup JT has already been implicated in other neurodegenerative disorders, no previous reports of an association between haplogroups W and X and disease were found. CONCLUSIONS These findings suggest that haplogroups JT, W and X modify AO in MJD. Replication studies should be performed in European populations, where the frequency of the candidate modifiers is similar.
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Affiliation(s)
- A Ramos
- Faculdade de Ciências e Tecnologia, Universidade dos Açores, Ponta Delgada, Portugal.,Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.,IBMC - Instituto de Biologia Molecular e Celular, Universidade do Porto, Porto, Portugal.,Departamento Biologia Animal, Biologia Vegetal i Ecologia, Unitat d'Antropologia Biològica, Universitat Autònoma de Barcelona, Cerdanyola del Valles, Spain
| | - M Planchat
- Departamento Biologia Animal, Biologia Vegetal i Ecologia, Unitat d'Antropologia Biològica, Universitat Autònoma de Barcelona, Cerdanyola del Valles, Spain
| | - A R Vieira Melo
- Faculdade de Ciências e Tecnologia, Universidade dos Açores, Ponta Delgada, Portugal.,Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.,IBMC - Instituto de Biologia Molecular e Celular, Universidade do Porto, Porto, Portugal
| | - M Raposo
- Faculdade de Ciências e Tecnologia, Universidade dos Açores, Ponta Delgada, Portugal.,Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.,IBMC - Instituto de Biologia Molecular e Celular, Universidade do Porto, Porto, Portugal
| | - U Shamim
- CSIR - Institute of Genomics and Integrative Biology (IGIB), New Delhi, India
| | - V Suroliya
- CSIR - Institute of Genomics and Integrative Biology (IGIB), New Delhi, India.,Department of Neurology, Neuroscience Centre, All India Institute of Medical Sciences, New Delhi, India
| | - A K Srivastava
- Department of Neurology, Neuroscience Centre, All India Institute of Medical Sciences, New Delhi, India
| | - M Faruq
- CSIR - Institute of Genomics and Integrative Biology (IGIB), New Delhi, India
| | - H Morino
- Department of Epidemiology, Research Institute for Radiology and Medicine, Hiroshima University, Hiroshima, Japan
| | - R Ohsawa
- Department of Epidemiology, Research Institute for Radiology and Medicine, Hiroshima University, Hiroshima, Japan
| | - H Kawakami
- Department of Epidemiology, Research Institute for Radiology and Medicine, Hiroshima University, Hiroshima, Japan
| | - L Bannach Jardim
- Medical Genetics Service, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.,Departamento de Medicina Interna, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - M L Saraiva-Pereira
- Medical Genetics Service, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.,Departamento de Bioquímica, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - J Vasconcelos
- Serviço de Neurologia, Hospital do Divino Espírito Santo, Ponta Delgada, Açores, Portugal
| | - C Santos
- Departamento Biologia Animal, Biologia Vegetal i Ecologia, Unitat d'Antropologia Biològica, Universitat Autònoma de Barcelona, Cerdanyola del Valles, Spain
| | - M Lima
- Faculdade de Ciências e Tecnologia, Universidade dos Açores, Ponta Delgada, Portugal.,Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.,IBMC - Instituto de Biologia Molecular e Celular, Universidade do Porto, Porto, Portugal
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12
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Chen Z, Sequeiros J, Tang B, Jiang H. Genetic modifiers of age-at-onset in polyglutamine diseases. Ageing Res Rev 2018; 48:99-108. [PMID: 30355507 DOI: 10.1016/j.arr.2018.10.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2018] [Revised: 08/03/2018] [Accepted: 10/17/2018] [Indexed: 11/25/2022]
Abstract
Polyglutamine (polyQ) diseases are a group of clinically and genetically heterogeneous neurodegenerative diseases. Expansion size correlates with age-at-onset (AO) and severity, and shows a critical threshold for each polyQ disease. Although an expanded CAG tract is sufficient to trigger disease, not all variation in AO is explained by (CAG)n length, which suggests the contribution of other modifying factors. Methods used to identify genetic modifiers in polyQ diseases have progressed from candidate genes to unbiased genome-wide searches. Inconsistency of results from candidate-genes studies are partly explained by sample size, study design and variable population frequency of "polymorphisms"; a genome-wide search may help elucidating more precise disease mechanisms underlying specific interaction networks. We review known genetic modifiers for polyQ diseases, and discuss developing strategies to find modulation, from common variants to networks disclosing small cumulative effects of key genes and modifying pathways. This may lead to a better understanding of genotype-phenotype correlation and the proposal of new potential targets for therapeutical interventions.
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13
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Ding D, Li K, Wang C, Chen Z, Long Z, Peng Y, Zhou X, Peng H, Qiu R, Xia K, Tang B, Jiang H. ATXN2 polymorphism modulates age at onset in Machado-Joseph disease. Brain 2018; 139:e59. [PMID: 27452601 DOI: 10.1093/brain/aww176] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Dongxue Ding
- 1 Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China
| | - Kai Li
- 1 Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China
| | - Chunrong Wang
- 1 Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China
| | - Zhao Chen
- 1 Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China
| | - Zhe Long
- 1 Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China
| | - Yun Peng
- 1 Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China
| | - Xin Zhou
- 1 Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China
| | - Huirong Peng
- 1 Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China
| | - Rong Qiu
- 2 School of Information Science and Engineering, Central South University, Changsha, China
| | - Kun Xia
- 3 State Key Laboratory of Medical Genetics, Central South University, Changsha, Hunan, P.R. China
| | - Beisha Tang
- 1 Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China.,3 State Key Laboratory of Medical Genetics, Central South University, Changsha, Hunan, P.R. China.,4 Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, P.R. China
| | - Hong Jiang
- 1 Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, P.R. China.,3 State Key Laboratory of Medical Genetics, Central South University, Changsha, Hunan, P.R. China.,4 Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, P.R. China.,5 Xinjiang Medical University, Xinjiang, 830011, P.R. China
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14
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Dong HL, Ma Y, Li QF, Du YC, Yang L, Chen S, Wu ZY. Genetic and clinical features of Chinese patients with mitochondrial ataxia identified by targeted next-generation sequencing. CNS Neurosci Ther 2018; 25:21-29. [PMID: 29756269 DOI: 10.1111/cns.12972] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2018] [Revised: 04/03/2018] [Accepted: 04/05/2018] [Indexed: 12/17/2022] Open
Abstract
AIM To characterize the mutations in mitochondrial DNA (mtDNA) and mitochondrion-related nuclear genes (nDNA), and clinical features in Chinese patients with mitochondrial ataxia. METHODS Targeted next-generation sequencing (NGS) technology was performed to screen the whole mtDNA sequence and nDNA genes in a cohort of 33 unrelated ataxia patients. RESULTS A total of 5 pedigrees were finally genetically diagnosed as mitochondrial ataxia, with 3 pathogenic mutations (m.8344A>G, m.9176T>C, and m.9185T>C), one likely pathogenic mutation (m.3995A>G) in mtDNA, and one pathogenic mutation (c.1159_1162dupAAGT, p.Ser388Terfs) in PDHA1. The prevalence of mitochondrial ataxia in our patient cohort is 15.2%. In addition, all 4 patients with mtDNA mutations experienced symptoms of ataxia with age at onset ranging from 12 to 39 years (21 ± 12.2) and developed extrapyramidal symptoms during the disease course. One male patient with pyruvate dehydrogenase deficiency showed an acute intermittent ataxia phenotype. CONCLUSIONS Our results implicate that mitochondrial ataxia might not be as rare in Chinese as previously assumed. This study firstly defines the mutations of mitochondrial ataxia in a Chinese population by targeted NGS, which broadens the clinical spectrum of mtDNA mutations and highlights the importance of screening mtDNA and nDNA mutations among undefined ataxia patients.
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Affiliation(s)
- Hai-Lin Dong
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Yin Ma
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Quan-Fu Li
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Yi-Chu Du
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Lu Yang
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Sheng Chen
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhi-Ying Wu
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
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