- Loss-of-Function Variant in the SMPD1 Gene in Progressive Supranuclear Palsy-Richardson Syndrome Patients of Chinese Ancestry
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Shen-Yang Lim, Ai Huey Tan, Jia Nee Foo, Yi Jayne Tan, Elaine GY Chew, Azlina Ahmad Annuar, Alfand Marl Dy Closas, Azalea Pajo, Jia Lun Lim, Yi Wen Tay, Anis Nadhirah, Jia Wei Hor, Tzi Shin Toh, Lei Cheng Lit, Jannah Zulkefli, Su Juen Ngim, Weng Khong Lim, Huw R. Morris, Eng-King Tan, Adeline SL Ng
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J Mov Disord. 2024;17(2):213-217. Published online January 31, 2024
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DOI: https://doi.org/10.14802/jmd.24009
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- Lysosomal dysfunction plays an important role in neurodegenerative diseases, including Parkinson’s disease (PD) and possibly Parkinson-plus syndromes such as progressive supranuclear palsy (PSP). This role is exemplified by the involvement of variants in the GBA1 gene, which results in a deficiency of the lysosomal enzyme glucocerebrosidase and is the most frequently identified genetic factor underlying PD worldwide. Pathogenic variants in the SMPD1 gene are a recessive cause of Niemann–Pick disease types A and B. Here, we provide the first report on an association between a loss-of-function variant in the SMPD1 gene present in a heterozygous state (p.Pro332Arg/p.P332R, which is known to result in reduced lysosomal acid sphingomyelinase activity), with PSP-Richardson syndrome in three unrelated patients of Chinese ancestry.
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- Parkinson’s Disease is Predominantly a Genetic Disease
Shen-Yang Lim, Christine Klein Journal of Parkinson's Disease.2024; 14(3): 467. CrossRef - Identification of Genetic Variants in Progressive Supranuclear Palsy in Southeast Asia
Adeline Su Lyn Ng, Ai Huey Tan, Yi Jayne Tan, Jia Lun Lim, Michelle Mulan Lian, Alfand Marl Dy Closas, Azlina Ahmad‐Annuar, Shanthi Viswanathan, Yuen Kang Chia, Jia Nee Foo, Weng Khong Lim, Eng‐King Tan, Shen‐Yang Lim Movement Disorders.2024; 39(10): 1829. CrossRef - Genetic-based diagnostics of Parkinson’s disease and other Parkinsonian syndromes
Emma N. Somerville, Ziv Gan-Or Expert Review of Molecular Diagnostics.2024; : 1. CrossRef
- Automated Brainstem Segmentation Detects Differential Involvement in Atypical Parkinsonian Syndromes
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Martina Bocchetta, Juan Eugenio Iglesias, Viorica Chelban, Edwin Jabbari, Ruth Lamb, Lucy L. Russell, Caroline V. Greaves, Mollie Neason, David M. Cash, David L. Thomas, Jason D. Warren, John Woodside, Henry Houlden, Huw R. Morris, Jonathan D. Rohrer
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J Mov Disord. 2020;13(1):39-46. Published online September 26, 2019
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DOI: https://doi.org/10.14802/jmd.19030
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- Objective
Brainstem segmentation has been useful in identifying potential imaging biomarkers for diagnosis and progression in atypical parkinsonian syndromes (APS). However, the majority of work has been performed using manual segmentation, which is time consuming for large cohorts.
Methods We investigated brainstem involvement in APS using an automated method. We measured the volume of the medulla, pons, superior cerebellar peduncle (SCP) and midbrain from T1-weighted MRIs in 67 patients and 42 controls. Diagnoses were corticobasal syndrome (CBS, n = 14), multiple system atrophy (MSA, n = 16: 8 with parkinsonian syndrome, MSA-P; 8 with cerebellar syndrome, MSA-C), progressive supranuclear palsy with a Richardson’s syndrome (PSP-RS, n = 12), variant PSP (n = 18), and APS not otherwise specified (APS-NOS, n = 7).
Results All brainstem regions were smaller in MSA-C (19–42% volume difference, p < 0.0005) and in both PSP groups (18–33%, p < 0.0005) than in controls. MSA-P showed lower volumes in all regions except the SCP (15–26%, p < 0.0005). The most affected region in MSA-C and MSA-P was the pons (42% and 26%, respectively), while the most affected regions in both the PSP-RS and variant PSP groups were the SCP (33% and 23%, respectively) and midbrain (26% and 24%, respectively). The brainstem was less affected in CBS, but nonetheless, the pons (14%, p < 0.0005), midbrain (14%, p < 0.0005) and medulla (10%, p = 0.001) were significantly smaller in CBS than in controls. The brainstem was unaffected in APS-NOS.
Conclusion Automated methods can accurately quantify the involvement of brainstem structures in APS. This will be important in future trials with large patient numbers where manual segmentation is unfeasible.
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