Mark J. Henderson, Tiffany C. Chen, Logan M. Glasstetter, Yu Chen, Juan J. Marugan, Ellen Sidransky
{"title":"The Race to Salvage Glucocerebrosidase: Understanding Small‐Molecule Therapies for GBA1 ‐Associated Parkinsonism","authors":"Mark J. Henderson, Tiffany C. Chen, Logan M. Glasstetter, Yu Chen, Juan J. Marugan, Ellen Sidransky","doi":"10.1002/mds.70168","DOIUrl":"https://doi.org/10.1002/mds.70168","url":null,"abstract":"","PeriodicalId":213,"journal":{"name":"Movement Disorders","volume":"29 1","pages":""},"PeriodicalIF":8.6,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michael J. Rigby, Hugo Botha, Leland R. Barnard, R. Ross Reichard, Rachel Larsen, Wendy Cogan, Aaron R. Switzer, Vijay K. Ramanan, Bryan J. Neth, Ryan A. Townley, Rodolfo Savica, David T. Jones, Toji Miyagawa, Julie A. Fields, Cynthia Vernon, Zachary A. Trottier, Val J. Lowe, Erik K. St. Louis, David S. Knopman, Ronald C. Petersen, Dennis W. Dickson, Kejal Kantarci, Jonathan Graff‐Radford, Bradley F. Boeve, Stuart J. McCarter
<p>We read with great interest the Viewpoint by Desjardins <i>et al</i>. highlighting the urgent need for diagnostic-specific and developmentally adapted tools for assessing non-motor symptoms (NMS) in children with movement disorders.<span><sup>1</sup></span> Their call to move beyond fragmented and non-validated approaches resonates strongly with recent collaborative efforts within the European Reference Network for Rare Neurological Diseases (ERN-RND) Pediatric Issues Working Group.</p><p>In our recent study, we surveyed 25 experts from 10 European countries to map the real-world use of motor and non-motor rating scales across pediatric movement disorder phenotypes.<span><sup>2</sup></span> We identified 13 movement disorder-specific motor scales in routine use, complemented by developmental, adaptive, and cognitive measures such as the Bayley Scales, Vineland Adaptive Behavior Scales, and standardized IQ testing. Yet, fewer than half of these tools had been validated for pediatric populations. The variability in their application, particularly in young or cognitively impaired children, revealed similar methodological gaps to those Desjardins <i>et al</i>. now describe for non-motor symptoms. Both studies converge on the same unmet need: a unified and developmentally sensitive assessment framework integrating motor, cognitive, and non-motor dimensions.</p><p>We fully support the authors' proposal of a modular structure combining a core transdiagnostic component with diagnosis-specific extensions. Our empirical data from ERN-RND centers indicate that such an approach is both feasible and clinically meaningful. In pediatric dystonia or mixed hyperkinetic disorders, for example, we routinely combine the Burke–Fahn–Marsden Dystonia Rating Scale (BFMDRS) with quality-of-life measures such as the Pediatric Quality of Life Inventory (PedsQL) and developmental assessment tools to contextualize motor findings within the child's cognitive and adaptive profile. In addition, disease-specific scales developed within our group—such as those for <i>GNAO1</i>-related disorders<span><sup>3</sup></span>—provide complementary insight beyond motor severity, capturing functional and behavioral fluctuations that significantly influence overall disease burden. This multimodal strategy captures the interplay between motor severity, functional participation, and perceived burden, offering a comprehensive picture of disease impact while remaining practical for longitudinal follow-up.</p><p>These findings collectively suggest that a unified motor and non-motor framework is achievable. The modular model envisioned by Desjardins <i>et al</i>. could thus build upon the empirical groundwork already established for motor domains within the ERN-RND. Extending this collaboration to include NMS assessment would allow harmonized data collection across Europe and foster consensus on age-banded norms, feasibility thresholds, and minimal clinically important differences—elements es
{"title":"Building on European Reference Network for Rare Neurological Diseases (ERN-RND) Experience: Integrating Motor and Non-Motor Assessment in Pediatric Movement Disorders","authors":"Maria Eugenia Amato, Juan Darío Ortigoza-Escobar","doi":"10.1002/mds.70166","DOIUrl":"10.1002/mds.70166","url":null,"abstract":"<p>We read with great interest the Viewpoint by Desjardins <i>et al</i>. highlighting the urgent need for diagnostic-specific and developmentally adapted tools for assessing non-motor symptoms (NMS) in children with movement disorders.<span><sup>1</sup></span> Their call to move beyond fragmented and non-validated approaches resonates strongly with recent collaborative efforts within the European Reference Network for Rare Neurological Diseases (ERN-RND) Pediatric Issues Working Group.</p><p>In our recent study, we surveyed 25 experts from 10 European countries to map the real-world use of motor and non-motor rating scales across pediatric movement disorder phenotypes.<span><sup>2</sup></span> We identified 13 movement disorder-specific motor scales in routine use, complemented by developmental, adaptive, and cognitive measures such as the Bayley Scales, Vineland Adaptive Behavior Scales, and standardized IQ testing. Yet, fewer than half of these tools had been validated for pediatric populations. The variability in their application, particularly in young or cognitively impaired children, revealed similar methodological gaps to those Desjardins <i>et al</i>. now describe for non-motor symptoms. Both studies converge on the same unmet need: a unified and developmentally sensitive assessment framework integrating motor, cognitive, and non-motor dimensions.</p><p>We fully support the authors' proposal of a modular structure combining a core transdiagnostic component with diagnosis-specific extensions. Our empirical data from ERN-RND centers indicate that such an approach is both feasible and clinically meaningful. In pediatric dystonia or mixed hyperkinetic disorders, for example, we routinely combine the Burke–Fahn–Marsden Dystonia Rating Scale (BFMDRS) with quality-of-life measures such as the Pediatric Quality of Life Inventory (PedsQL) and developmental assessment tools to contextualize motor findings within the child's cognitive and adaptive profile. In addition, disease-specific scales developed within our group—such as those for <i>GNAO1</i>-related disorders<span><sup>3</sup></span>—provide complementary insight beyond motor severity, capturing functional and behavioral fluctuations that significantly influence overall disease burden. This multimodal strategy captures the interplay between motor severity, functional participation, and perceived burden, offering a comprehensive picture of disease impact while remaining practical for longitudinal follow-up.</p><p>These findings collectively suggest that a unified motor and non-motor framework is achievable. The modular model envisioned by Desjardins <i>et al</i>. could thus build upon the empirical groundwork already established for motor domains within the ERN-RND. Extending this collaboration to include NMS assessment would allow harmonized data collection across Europe and foster consensus on age-banded norms, feasibility thresholds, and minimal clinically important differences—elements es","PeriodicalId":213,"journal":{"name":"Movement Disorders","volume":"41 1","pages":"284-285"},"PeriodicalIF":7.6,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://movementdisorders.onlinelibrary.wiley.com/doi/epdf/10.1002/mds.70166","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145801031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}