Abstract
Spinocerebellar ataxias (SCAs) are a large group of hereditary neurodegenerative diseases characterized by ataxia and dysarthria. Due to high clinical and genetic heterogeneity, many SCA families are undiagnosed. Herein, using linkage analysis, WES, and RP-PCR, we identified the largest SCA36 pedigree in Asia. This pedigree showed some distinct clinical characteristics. Cognitive impairment and gaze palsy are common and severe in SCA36 patients, especially long-course patients. Although no patients complained of hearing loss, most of them presented with hearing impairment in objective auxiliary examination. Voxel-based morphometry (VBM) demonstrated a reduction of volumes in cerebellum, brainstem, and thalamus (corrected P < 0.05). Reduced volumes in cerebellum were also found in presymptomatic carriers. Resting-state functional MRI (R-fMRI) found reduced ReHo values in left cerebellar posterior lobule (corrected P < 0.05). Diffusion tensor imaging (DTI) demonstrated a reduction of FA values in cerebellum, midbrain, superior and inferior cerebellar peduncle (corrected P < 0.05). MRS found reduced NAA/Cr values in cerebellar vermis and hemisphere (corrected P < 0.05). Our findings could provide new insights into management of SCA36 patients. Detailed auxiliary examination are recommended to assess hearing or peripheral nerve impairment, and we should pay more attention to eye movement and cognitive changes in patients. Furthermore, for the first time, our multimodel neuroimaging evaluation generate a full perspective of brain function and structure in SCA36 patients.
Similar content being viewed by others
Data Availability
The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.
References
Schols L, Amoiridis G, Buttner T, Przuntek H, Epplen JT, Riess O. Autosomal dominant cerebellar ataxia: phenotypic differences in genetically defined subtypes? Ann Neurol. 1997;42:924–32.
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. 2016;139:e59.
Chen Z, Zheng C, Long Z, Cao L, Li X, Shang H, Yin X, Zhang B, Liu J, Ding D, Peng Y, Wang C, Peng H, Ye W, Qiu R, Pan Q, Xia K, Chen S, Sequeiros J, Ashizawa T, Klockgether T, Tang B, Jiang H. (CAG)n loci as genetic modifiers of age-at-onset in patients with Machado-Joseph disease from mainland China. Brain. 2016;139:e41.
Martin JJ. Spinocerebellar ataxia type 7. Handb Clin Neurol. 2012;103:475–91.
Klockgether T, Mariotti C, Paulson HL. Spinocerebellar ataxia. Nat Rev Dis Primers. 2019;5:24.
Sugihara K, Maruyama H, Morino H, Miyamoto R, Ueno H, Matsumoto M, Kaji R, Kitaguchi H, Yukitake M, Higashi Y, Nishinaka K, Oda M, Izumi Y, Kawakami H. The clinical characteristics of spinocerebellar ataxia 36: a study of 2121 Japanese ataxia patients. Mov Disord. 2012;27:1158–63.
Retterer K, Juusola J, Cho MT, Vitazka P, Millan F, Gibellini F, Vertino-Bell A, Smaoui N, Neidich J, Monaghan KG, McKnight D, Bai R, Suchy S, Friedman B, Tahiliani J, Pineda-Alvarez D, Richard G, Brandt T, Haverfield E, Chung WK, Bale S. Clinical application of whole-exome sequencing across clinical indications. Genet Med. 2016;18:696–704.
Tanaka E, Maruyama H, Morino H, Kawakami H. Detection of large expansions in SCA8 using a fluorescent repeat-primed PCR assay. Hiroshima J Med Sci. 2011;60:63–6.
Wang X, Huang X, Zhou L, Chen J, Zhang X, Xu K, Huang Z, He M, Shen M, Chen X, Tang B, Shen L, Zhou Y. Association of arsenic exposure and cognitive impairment: a population-based cross-sectional study in China. Neurotoxicology. 2020;82:100–7.
Aguiar P, Pardo J, Arias M, Quintans B, Fernandez-Prieto M, Martinez-Regueiro R, Pumar JM, Silva-Rodriguez J, Ruibal A, Sobrido MJ, Cortes J. PET and MRI detection of early and progressive neurodegeneration in spinocerebellar ataxia type 36. Mov Disord. 2017;32:264–73.
Zeng S, Zeng J, He M, Zeng X, Zhou Y, Liu Z, Xia K, Pan Q, Jiang H, Shen L, Yan X, Tang B, Wang J. Genetic and clinical analysis of spinocerebellar ataxia type 36 in Mainland China. Clin Genet. 2016;90:141–8.
Ashburner J. Computational anatomy with the SPM software. Magn Reson Imaging. 2009;27:1163–74.
Chao-Gan Y, Yu-Feng Z. DPARSF: A MATLAB toolbox for “Pipeline” data analysis of resting-state fMRI. Front Syst Neurosci. 2010;4:13.
Cui Z, Zhong S, Xu P, He Y, Gong G. PANDA: a pipeline toolbox for analyzing brain diffusion images. Front Hum Neurosci. 2013;7:42.
Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, Watkins KE, Ciccarelli O, Cader MZ, Matthews PM, Behrens TE. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage. 2006;31:1487–505.
Kobayashi H, Abe K, Matsuura T, Ikeda Y, Hitomi T, Akechi Y, Habu T, Liu W, Okuda H, Koizumi A. Expansion of intronic GGCCTG hexanucleotide repeat in NOP56 causes SCA36, a type of spinocerebellar ataxia accompanied by motor neuron involvement. Am J Hum Genet. 2011;89:121–30.
Ikeda Y, Ohta Y, Kurata T, Shiro Y, Takao Y, Abe K. Acoustic impairment is a distinguishable clinical feature of Asidan/SCA36. J Neurol Sci. 2013;324:109–12.
Garcia-Murias M, Quintans B, Arias M, Seixas AI, Cacheiro P, Tarrio R, Pardo J, Millan MJ, Arias-Rivas S, Blanco-Arias P, Dapena D, Moreira R, Rodriguez-Trelles F, Sequeiros J, Carracedo A, Silveira I, Sobrido MJ. ‘Costa da Morte’ ataxia is spinocerebellar ataxia 36: clinical and genetic characterization. Brain. 2012;135:1423–35.
Ikeda Y, Ohta Y, Kobayashi H, Okamoto M, Takamatsu K, Ota T, Manabe Y, Okamoto K, Koizumi A, Abe K. Clinical features of SCA36: a novel spinocerebellar ataxia with motor neuron involvement (Asidan). Neurology. 2012;79:333–41.
Obayashi M, Stevanin G, Synofzik M, Monin ML, Duyckaerts C, Sato N, Streichenberger N, Vighetto A, Desestret V, Tesson C, Wichmann HE, Illig T, Huttenlocher J, Kita Y, Izumi Y, Mizusawa H, Schols L, Klopstock T, Brice A, Ishikawa K, Durr A. Spinocerebellar ataxia type 36 exists in diverse populations and can be caused by a short hexanucleotide GGCCTG repeat expansion. J Neurol Neurosurg Psychiatry. 2015;86:986–95.
Lee YC, Tsai PC, Guo YC, Hsiao CT, Liu GT, Liao YC, Soong BW. Spinocerebellar ataxia type 36 in the Han Chinese. Neurol Genet. 2016;2:e68.
Valera JM, Diaz T, Petty LE, Quintans B, Yanez Z, Boerwinkle E, Muzny D, Akhmedov D, Berdeaux R, Sobrido MJ, Gibbs R, Lupski JR, Geschwind DH, Perlman S, Below JE, Fogel BL. Prevalence of spinocerebellar ataxia 36 in a US population. Neurol Genet. 2017;3:e174.
Abe K, Ikeda Y, Kurata T, Ohta Y, Manabe Y, Okamoto M, Takamatsu K, Ohta T, Takao Y, Shiro Y, Shoji M, Kamiya T, Kobayashi H, Koizumi A. Cognitive and affective impairments of a novel SCA/MND crossroad mutation Asidan. Eur J Neurol. 2012;19:1070–8.
Martinez-Regueiro R, Arias M, Cruz R, Quintans B, Labella-Caballero T, Pardo M, Pardo J, Garcia-Murias M, Carracedo A, Sobrido MJ, Fernandez-Prieto M. Cerebellar cognitive affective syndrome in Costa da Morte ataxia (SCA36). Cerebellum. 2020;19:501–9.
Peng H, Liang X, Long Z, Chen Z, Shi Y, Xia K, Meng L, Tang B, Qiu R, Jiang H. Gene-related cerebellar neurodegeneration in SCA3/MJD: a case-controlled imaging-genetic study. Front Neurol. 2019;10:1025.
Alcauter S, Barrios FA, Diaz R, Fernandez-Ruiz J. Gray and white matter alterations in spinocerebellar ataxia type 7: an in vivo DTI and VBM study. Neuroimage. 2011;55:1–7.
Reetz K, Rodriguez-Labrada R, Dogan I, Mirzazade S, Romanzetti S, Schulz JB, Cruz-Rivas EM, Alvarez-Cuesta JA, Aguilera Rodriguez R, Gonzalez Zaldivar Y, Auburger G, Velazquez-Perez L. Brain atrophy measures in preclinical and manifest spinocerebellar ataxia type 2. Ann Clin Transl Neurol. 2018;5:128–37.
Acknowledgements
We thank all of the participants for their involvement in this study.
Funding
This study was funded by the National Key Research and Development Program of China (No. 2016YFC0905100 and No. 2016YFC0901504 to H Jiang; No. 2016YFC1306000 to B Tang), the National Natural Science Foundation of China (No. 81771231 and No. 81974176 to H Jiang; No. 81901169 to Z Chen; No. 81901305 to C Wang; No. 81600995 to Y Shi), the Innovation Research Group Project of Natural Science Foundation of Hunan Province (No. 2020JJ1008 to H Jiang), the Science and Technology Innovation Group of Hunan Province (No. 2020RC4043 to H Jiang), the Scientific Research Foundation of Health Commission of Hunan Province (No. B2019183 to H Jiang), the Key Research and Development Program of Hunan Province (No. 2020SK2064 and No. 2018SK2092 to H Jiang), the Innovative Research and Development Program of Development and Reform Commission of Hunan Province to H Jiang, the Natural Science Foundation of Hunan Province (No. 2019JJ40363 to R Qiu), the Clinical and Rehabilitation Funds of Peking University Weiming Biotech Group (No. xywm2015I10 to H Jiang), the Project Program of National Clinical Research Center for Geriatric Disorders (Xiangya Hospital, No. 2020LNJJ12 and No. XYYYJSTG-05 to H Jiang), and the Youth Foundation of Xiangya Hospital (No. 2017Q03 to Z Chen, No. 2018Q05 to C Wang).
Author information
Authors and Affiliations
Contributions
Yue Xie: conception and design of the study, acquisition and analysis of data, writing. Zhao Chen, Zhe Long, Rui-Ting Chen, Yi-Zheng Jiang, Lin-Liu Peng, Ming-Jie Liu, Hui-Rong Peng, Na Wan, Guangdong Zou: acquisition and analysis of data. Chun-Rong Wang, Zhao Chen, Yu-Ting Shi, Gao-Feng Zhou, Wei-Hua Liao, Rong Qiu, Zheng-Mao Hu, Kun Xia, Bei-Sha Tang: funding acquisition, writing—review and editing, supervision. Hong Jiang: conception and design of the study, funding acquisition, writing—review and editing, supervision.
Corresponding author
Ethics declarations
Ethics Approval
This study was approved by the Ethics Committee of Xiangya Hospital, Central South University, and written informed consent were obtained from all of the participants.
Conflict of Interest
The authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Xie, Y., Chen, Z., Long, Z. et al. Identification of the Largest SCA36 Pedigree in Asia: with Multimodel Neuroimaging Evaluation for the First Time. Cerebellum 21, 358–367 (2022). https://doi.org/10.1007/s12311-021-01304-0
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12311-021-01304-0