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Jin YH, Xiang YZ, Zhao MF, Liu YH, Fan LL, Li XC. A novel variant (p.A524P) in Spastin is responsible for a Chinese family with hereditary spastic paraplegia. Mol Biol Rep 2024; 51:951. [PMID: 39230614 DOI: 10.1007/s11033-024-09880-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Accepted: 08/21/2024] [Indexed: 09/05/2024]
Abstract
BACKGROUND Hereditary spastic paraplegia (HSP) represents a group of monogenic neurodegenerative disorders characterized by high clinical and genetic heterogeneity. HSP is characterized by slowly progressing hypertonia of both lower extremities, spastic gait, and myasthenia. The most prevalent autosomal dominant form of HSP, known as spastic paraplegia 4 (SPG4), is attributed to variants in the spastin (SPAST) gene. METHODS AND RESULTS Here, a Chinese family presenting with spasticity in both legs and a shuffling gait participated in our investigation. Whole exome sequencing of the proband was utilized to identify the genetic lesion in the family. Through data filtering, Sanger sequencing validation, and co-separation analysis, a novel variant (NM_014946.3: c.1669G > C:p.A557P) of SPAST was identified as the genetic lesion of this family. Furthermore, bioinformatic analysis revealed that this variant was deleterious and located in a highly evolutionarily conserved site. CONCLUSION Our study confirmed the diagnosis of SPG4 in this family, contributing to genetic counseling for families affected by SPG4. Additionally, our study broadened the spectrum of SPAST variants and highlighted the importance of ATPases associated with various cellular activity domains of SPAST.
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Affiliation(s)
- Yu-Han Jin
- Department of Cell Biology, The School of Life Sciences, Central South University, Changsha, 410013, China
| | - Yang-Ziyu Xiang
- Department of Cell Biology, The School of Life Sciences, Central South University, Changsha, 410013, China
| | - Mei-Fang Zhao
- Department of Cell Biology, The School of Life Sciences, Central South University, Changsha, 410013, China
| | - Yi-Hui Liu
- Department of Neurology, Affiliated Hospital of Yangzhou University, Yangzhou, 225001, China
| | - Liang-Liang Fan
- Department of Cell Biology, The School of Life Sciences, Central South University, Changsha, 410013, China.
| | - Xiao-Cong Li
- Department of Neurology, Affiliated Hospital of Yangzhou University, Yangzhou, 225001, China.
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Tu Y, Liu Y, Fan S, Weng J, Li M, Zhang F, Fu Y, Hu J. Relationship between brain white matter damage and grey matter atrophy in hereditary spastic paraplegia types 4 and 5. Eur J Neurol 2024; 31:e16310. [PMID: 38651515 PMCID: PMC11235729 DOI: 10.1111/ene.16310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 03/11/2024] [Accepted: 04/04/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND AND PURPOSE White matter (WM) damage is the main target of hereditary spastic paraplegia (HSP), but mounting evidence indicates that genotype-specific grey matter (GM) damage is not uncommon. Our aim was to identify and compare brain GM and WM damage patterns in HSP subtypes and investigate how gene expression contributes to these patterns, and explore the relationship between GM and WM damage. METHODS In this prospective single-centre cohort study from 2019 to 2022, HSP patients and controls underwent magnetic resonance imaging evaluations. The alterations of GM and WM patterns were compared between groups by applying a source-based morphometry approach. Spearman rank correlation was used to explore the associations between gene expression and GM atrophy patterns in HSP subtypes. Mediation analysis was conducted to investigate the interplay between GM and WM damage. RESULTS Twenty-one spastic paraplegia type 4 (SPG4) patients (mean age 50.7 years ± 12.0 SD, 15 men), 21 spastic paraplegia type 5 (SPG5) patients (mean age 29.1 years ± 12.8 SD, 14 men) and 42 controls (sex- and age-matched) were evaluated. Compared to controls, SPG4 and SPG5 showed similar WM damage but different GM atrophy patterns. GM atrophy patterns in SPG4 and SPG5 were correlated with corresponding gene expression (ρ = 0.30, p = 0.008, ρ = 0.40, p < 0.001, respectively). Mediation analysis indicated that GM atrophy patterns were mediated by WM damage in HSP. CONCLUSIONS Grey matter atrophy patterns were distinct between SPG4 and SPG5 and were not only secondary to WM damage but also associated with disease-related gene expression. CLINICAL TRIAL REGISTRATION NO NCT04006418.
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Affiliation(s)
- Yuqing Tu
- Department of RadiologyFirst Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated HospitalFujian Medical UniversityFuzhouChina
| | - Ying Liu
- Department of RadiologyFirst Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated HospitalFujian Medical UniversityFuzhouChina
| | - Shuping Fan
- Department of RadiologyFirst Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated HospitalFujian Medical UniversityFuzhouChina
| | - Jiaqi Weng
- Department of RadiologyFirst Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated HospitalFujian Medical UniversityFuzhouChina
| | - Mengcheng Li
- Department of RadiologyFirst Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated HospitalFujian Medical UniversityFuzhouChina
| | - Fan Zhang
- Department of RadiologyFirst Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated HospitalFujian Medical UniversityFuzhouChina
| | - Ying Fu
- Department of Neurology and Institute of Neurology, First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular NeurologyFujian Medical UniversityFuzhouFujianChina
| | - Jianping Hu
- Department of RadiologyFirst Affiliated Hospital of Fujian Medical UniversityFuzhouFujianChina
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated HospitalFujian Medical UniversityFuzhouChina
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Diella E, D’Angelo MG, Stefan C, Girardi G, Morganti R, Martinuzzi A, Biffi E. Validation of the Italian version of a patient-reported outcome measure for Hereditary Spastic Paraplegia. PLoS One 2024; 19:e0301452. [PMID: 38557877 PMCID: PMC10984402 DOI: 10.1371/journal.pone.0301452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 03/15/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND AND AIM Patient-reported outcome measures (PROMs) are recognized as valuable measures in the clinical setting. In 2018 we developed the Italian version of the "Hereditary Spastic Paraplegia-Self Notion and Perception Questionnaire" (HSP-SNAP), a disease-specific questionnaire that collects personal perception on motor symptoms related to HSP such as stiffness, weakness, imbalance, reduced endurance, fatigue and pain. In this study our primary aim was to assess the questionnaire validity and reliability. Our secondary aim was to characterize the symptoms "perceived" by patients with HSP and compare them with those "perceived" by age-matched healthy subjects. METHODS The 12-item HSP-SNAP questionnaire was submitted to 20 external judges for comprehensibility and to 15 external judges for content validity assessment. We recruited 40 subjects with HSP and asked them to fill the questionnaire twice for test-retest procedure. They also completed the Medical Outcome Survey Short Form (SF-36) and were evaluated by the Spastic Paraplegia Rating Scale and the Six-Minute Walk Test. We also recruited 44 healthy subjects who completed the HSP-SNAP once to test score variability. RESULTS The HSP-SNAP content validity index was high (0.8±0.1) and the test-retest analysis showed high reliability (ICC = 0.94). The mean HSP-SNAP score (score range 0-48) of the HSP group was 22.2±7.8, which was significantly lower than healthy subjects (43.1±6.3). The most commonly perceived symptom was stiffness, followed by weakness and imbalance. CONCLUSION Although HSP-SNAP does not investigate non-motor symptoms and we validated only its Italian version, it showed good validity and reliability and it could be used in combination with other objective outcome measures for clinical purposes or as endpoints for future clinical rehabilitation studies. TRIAL REGISTRATION Trial Registration: ClinicalTrial.gov, NCT04256681. Registered 3 February 2020.
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Affiliation(s)
- Eleonora Diella
- Scientific Institute, IRCCS E. Medea, Bosisio Parini, Lecco, Italy
| | | | - Cristina Stefan
- Scientific Institute, IRCCS E. Medea, Pieve di Soligo, Treviso, Italy
| | - Giulia Girardi
- Scientific Institute, IRCCS E. Medea, Pieve di Soligo, Treviso, Italy
| | - Roberta Morganti
- Scientific Institute, IRCCS E. Medea, Bosisio Parini, Lecco, Italy
| | | | - Emilia Biffi
- Scientific Institute, IRCCS E. Medea, Bosisio Parini, Lecco, Italy
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Lallemant-Dudek P, Parodi L, Coarelli G, Heinzmann A, Charles P, Ewenczyk C, Fenu S, Monin ML, Corcia P, Depienne C, Mochel F, Benard J, Tezenas du Montcel S, Durr A. Individual perception of environmental factors that influence lower limbs spasticity in inherited spastic paraparesis. Ann Phys Rehabil Med 2023; 66:101732. [PMID: 37028193 DOI: 10.1016/j.rehab.2023.101732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 10/26/2022] [Accepted: 10/28/2022] [Indexed: 04/08/2023]
Abstract
BACKGROUND Phenotypic variability is a consistent finding in neurogenetics and therefore applicable to hereditary spastic paraparesis. Identifying reasons for this variability is a challenge. We hypothesized that, in addition to genetic modifiers, extrinsic factors influence variability. OBJECTIVES Our aim was to describe the clinical variability in hereditary spastic paraparesis from the person's perspective. Our goals were to identify individual and environmental factors that influence muscle tone disorders and derive interventions which could improve spasticity. METHODS This study was based on self-assessments with questions on nominal and ordinal scales completed by participants with hereditary spastic paraparesis. A questionnaire was completed either in-person in the clinic or electronically via lay organization websites. RESULTS Among the 325 responders, most had SPG4/SPAST (n = 182, 56%) with a mean age at onset of 31.7 (SD 16.7) years and a mean disease duration of 23 (SD 13.6) years at the time of participation. The 2 factors identified as improving spasticity for > 50% of the responders were physiotherapy (193/325, 59%), and superficial warming (172/308, 55%). Half of the responders (n = 164, 50%) performed physical activity at least once a month and up to once a week. Participants who reported physiotherapy as effective were significantly more satisfied with ≥ 3 sessions per week. Psychologically stressful situations (246/319, 77%) and cold temperatures (202/319, 63%) exacerbated spasticity for most participants. CONCLUSION Participants perceived that physiotherapy reduced spasticity and that the impact of physiotherapy on spasticity was much greater than other medical interventions. Therefore, people should be encouraged to practice physical activity at least 3 times per week. This study reported participants' opinions: in hereditary spastic paraparesis only functional treatments exist, therefore the participant's expertise is of particular importance.
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Affiliation(s)
- Pauline Lallemant-Dudek
- Sorbonne Université, Paris Brain Institute (ICM Institut du Cerveau), INSERM, CNRS, Assistance Publique-Hôpitaux de Paris (APHP), University Hospital Pitié-Salpêtrière, Paris, France; Sorbonne Université, Pediatric Physical Medicine and Rehabilitation Department, Hospital Armand Trousseau, Paris, France.
| | - Livia Parodi
- Sorbonne Université, Paris Brain Institute (ICM Institut du Cerveau), INSERM, CNRS, Assistance Publique-Hôpitaux de Paris (APHP), University Hospital Pitié-Salpêtrière, Paris, France
| | - Giulia Coarelli
- Sorbonne Université, Paris Brain Institute (ICM Institut du Cerveau), INSERM, CNRS, Assistance Publique-Hôpitaux de Paris (APHP), University Hospital Pitié-Salpêtrière, Paris, France; Sorbonne Université, Genetic Department, University Hospital Pitié-Salpêtrière, Paris, France
| | - Anna Heinzmann
- Sorbonne Université, Paris Brain Institute (ICM Institut du Cerveau), INSERM, CNRS, Assistance Publique-Hôpitaux de Paris (APHP), University Hospital Pitié-Salpêtrière, Paris, France; Sorbonne Université, Genetic Department, University Hospital Pitié-Salpêtrière, Paris, France
| | - Perrine Charles
- Sorbonne Université, Genetic Department, University Hospital Pitié-Salpêtrière, Paris, France
| | - Claire Ewenczyk
- Sorbonne Université, Genetic Department, University Hospital Pitié-Salpêtrière, Paris, France
| | - Silvia Fenu
- Sorbonne Université, Paris Brain Institute (ICM Institut du Cerveau), INSERM, CNRS, Assistance Publique-Hôpitaux de Paris (APHP), University Hospital Pitié-Salpêtrière, Paris, France
| | - Marie-Lorraine Monin
- Sorbonne Université, Paris Brain Institute (ICM Institut du Cerveau), INSERM, CNRS, Assistance Publique-Hôpitaux de Paris (APHP), University Hospital Pitié-Salpêtrière, Paris, France
| | - Philippe Corcia
- Centre SLA, University Hospital Bretonneau, Tours, France; Inserm Unit UMR U1253, iBrain, France
| | - Christel Depienne
- Sorbonne Université, Paris Brain Institute (ICM Institut du Cerveau), INSERM, CNRS, Assistance Publique-Hôpitaux de Paris (APHP), University Hospital Pitié-Salpêtrière, Paris, France; Institute of Human Genetics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Fanny Mochel
- Sorbonne Université, Paris Brain Institute (ICM Institut du Cerveau), INSERM, CNRS, Assistance Publique-Hôpitaux de Paris (APHP), University Hospital Pitié-Salpêtrière, Paris, France
| | | | - Sophie Tezenas du Montcel
- Sorbonne Université, Biostatistics and Medical Informatics Unit and Clinical Research Unit, University Hospital Pitié-Salpêtrière, UMR S1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France
| | - Alexandra Durr
- Sorbonne Université, Paris Brain Institute (ICM Institut du Cerveau), INSERM, CNRS, Assistance Publique-Hôpitaux de Paris (APHP), University Hospital Pitié-Salpêtrière, Paris, France; Sorbonne Université, Genetic Department, University Hospital Pitié-Salpêtrière, Paris, France
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Loris E, Ollenschläger M, Greinwalder T, Eskofier B, Winkler J, Gaßner H, Regensburger M. Mobile digital gait analysis objectively measures progression in hereditary spastic paraplegia. Ann Clin Transl Neurol 2023; 10:447-452. [PMID: 36622133 PMCID: PMC10014001 DOI: 10.1002/acn3.51725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 12/13/2022] [Accepted: 12/15/2022] [Indexed: 01/10/2023] Open
Abstract
Progressive spasticity and gait impairment is the functional hallmark of hereditary spastic paraplegia (HSP), but due to inter-individual variability, longitudinal studies on its progression are scarce. We investigated the progression of gait deficits via mobile digital measurements in conjunction with clinical and patient-reported outcome parameters. Our cohort included adult HSP patients (n = 55) with up to 77 months of follow-up. Gait speed showed a significant association with SPRS progression. Changes in stride time and gait variability correlated to fear of falling and quality of life, providing evidence that gait parameters are meaningful measures of HSP progression.
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Affiliation(s)
- Evelyn Loris
- Department of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Malte Ollenschläger
- Department of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.,Machine Learning and Data Analytics Lab, Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Teresa Greinwalder
- Department of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Björn Eskofier
- Machine Learning and Data Analytics Lab, Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Jürgen Winkler
- Department of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.,Center for Rare Diseases Erlangen (ZSEER), Universitätsklinikum Erlangen, Erlangen, Germany
| | - Heiko Gaßner
- Department of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.,Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, 91058, Erlangen, Germany
| | - Martin Regensburger
- Department of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.,Center for Rare Diseases Erlangen (ZSEER), Universitätsklinikum Erlangen, Erlangen, Germany
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Amprosi M, Indelicato E, Eigentler A, Fritz J, Nachbauer W, Boesch S. Toward the Definition of Patient-Reported Outcome Measurements in Hereditary Spastic Paraplegia. Neurol Genet 2023; 9:e200052. [PMID: 36636734 PMCID: PMC9832334 DOI: 10.1212/nxg.0000000000200052] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 11/18/2022] [Indexed: 01/11/2023]
Abstract
Background and Objectives Hereditary spastic paraplegias (HSPs) are a heterogeneous group of rare neurodegenerative diseases, characterized by a progressive spastic paraparesis. Currently, there is a HSP-specific clinician-reported outcome measure (CROM) called Spastic Paraplegia Rating Scale (SPRS). There are, however, no specific patient-reported outcome measures (PROMs) for HSP. In the present cohort study, we prospectively follow up a well-examined Austrian HSP cohort using validated rating scales and compared PROM with disease-specific and non-disease-specific CROM. Methods Patients were recruited and followed up at the Center for Rare Movement Disorders, Innsbruck, Austria. CROM included the SPRS, Scale for the Assessment and Rating of Ataxia (SARA), Barthel Index (BI), and Mini-Mental State Examination (MMSE). PROM included the EQ-5D questionnaire and the Patient Health Questionnaire 9 (PHQ-9). Standardized response means (SRMs) were calculated for all scales at follow-up (FU) after 1 year. Results A total of 55 patients (36 males) with HSP were included in the study. FU was performed for 30 patients (21 males). Apart from females reporting more problems in the EQ-5D domain of anxiety and depression (p = 0.008), other clinician-reported outcomes (CROs) or patient-reported outcomes (PROs) did not differ significantly across sex. SPRS showed significant correlations with SARA (p < 0.001), mainly driven by the gait item, as well as the BI. Although SPRS did not correlate with EQ-5D visual analogue scale and PHQ-9 scores, several EQ-5D domains correlated significantly with SPRS. At FU, SPRS showed the highest responsiveness (SRM 1.11), followed by SARA (SRM 0.47). Neither MMSE nor PRO significantly increased at FU. Discussion In this study, we present an Austrian cohort of patients with HSP and a prospective study evaluating correlations of CRO and PRO as well as their progression. Demographics from our cohort are comparable with several other European cohort studies. Our data highlight the capabilities of the SPRS to show clinical progression and warrant consideration of ataxia rating scales such as SARA in HSP cohorts. We also show that the generic PROMs are not suitable to detect change in HSP, and thus, we propose to create a disease-specific PROM fully depicting the effect of HSP on the patients' lives.
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Affiliation(s)
- Matthias Amprosi
- Centre for Rare Neurological Diseases (M.A., E.I., A.E., W.N., S.B.), Department of Neurology, Medical University of Innsbruck; and Department of Medical Statistics (J.F.), Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - Elisabetta Indelicato
- Centre for Rare Neurological Diseases (M.A., E.I., A.E., W.N., S.B.), Department of Neurology, Medical University of Innsbruck; and Department of Medical Statistics (J.F.), Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - Andreas Eigentler
- Centre for Rare Neurological Diseases (M.A., E.I., A.E., W.N., S.B.), Department of Neurology, Medical University of Innsbruck; and Department of Medical Statistics (J.F.), Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - Josef Fritz
- Centre for Rare Neurological Diseases (M.A., E.I., A.E., W.N., S.B.), Department of Neurology, Medical University of Innsbruck; and Department of Medical Statistics (J.F.), Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - Wolfgang Nachbauer
- Centre for Rare Neurological Diseases (M.A., E.I., A.E., W.N., S.B.), Department of Neurology, Medical University of Innsbruck; and Department of Medical Statistics (J.F.), Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - Sylvia Boesch
- Centre for Rare Neurological Diseases (M.A., E.I., A.E., W.N., S.B.), Department of Neurology, Medical University of Innsbruck; and Department of Medical Statistics (J.F.), Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
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Proof of principle for the clinical use of a CE-certified automatic imaging analysis tool in rare diseases studying hereditary spastic paraplegia type 4 (SPG4). Sci Rep 2022; 12:22075. [PMID: 36543827 PMCID: PMC9772173 DOI: 10.1038/s41598-022-25545-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022] Open
Abstract
Usage of MR imaging biomarkers is limited to experts. Automatic quantitative reports provide access for clinicians to data analysis. Automated data analysis was tested for usability in a small cohort of patients with hereditary spastic paraplegia type 4 (SPG4). We analyzed 3T MRI 3D-T1 datasets of n = 25 SPG4 patients and matched healthy controls using a commercial segmentation tool (AIRAscore structure 2.0.1) and standard VBM. In SPG4 total brain volume was reduced by 27.6 percentiles (p = 0.001) caused mainly by white matter loss (- 30.8th, p < 0.001) and stable total gray matter compared to controls. Brain volume loss occurred in: midbrain (- 41.5th, p = 0.001), pons (- 36.5th, p = 0.02), hippocampus (- 20.9th, p = 0.002), and gray matter of the cingulate gyrus (- 17.0th, p = 0.02). Ventricular volumes increased as indirect measures of atrophy. Group comparisons using percentiles aligned with results from VBM analyses. Quantitative imaging reports proved to work as an easily accessible, fully automatic screening tool for clinicians, even in a small cohort of a rare genetic disorder. We could delineate the involvement of white matter and specify involved brain regions. Group comparisons using percentiles provide comparable results to VBM analysis and are, therefore, a suitable and simple screening tool for all clinicians with and without in-depth knowledge of image processing.
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Nan H, Chu M, Liu L, Xie K, Wu L. A novel truncating variant of SPAST associated with hereditary spastic paraplegia indicates a haploinsufficiency pathogenic mechanism. Front Neurol 2022; 13:1005544. [DOI: 10.3389/fneur.2022.1005544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 10/27/2022] [Indexed: 11/16/2022] Open
Abstract
IntroductionHereditary spastic paraplegias (HSPs) are genetic neurodegenerative diseases. The most common form of pure HSP that is inherited in an autosomal dominant manner is spastic paraplegia type 4 (SPG4), which is caused by mutations in the SPAST gene. Different theories have been proposed as the mechanism underlying SPAST-HSP for different types of genetic mutations, including gain- and loss-of-function mechanisms. To better understand the mutation mechanisms, we performed genetic analysis and investigated a truncating SPAST variant that segregated with disease in one family.Objectives and methodsWe described a pure HSP pedigree with family members across four generations. We performed genetic analysis and investigated a novel frameshift pathogenic variant (c.862_863dupAC, p. H289Lfs*27) in this family. We performed reverse transcription-polymerase chain reaction (RT-PCR), Sanger sequencing, and quantitative RT-PCR using total RNA from an Epstein-Barr virus-induced lymphoblastoid cell line produced from the proband. We also performed Western blotting on cell lysates to investigate if the protein expression of spastin is affected by this variant.ResultsThis variant (c.862_863dupAC, p. H289Lfs*27) co-segregated with pure HSP in this family and is not registered in any public database. Measurement of SPAST transcripts in lymphoblasts from the proband demonstrated a reduction of SPAST transcript levels through likely nonsense-mediated mRNA decay. Immunoblot analyses demonstrated a reduction of spastin protein expression levels in lymphoblasts.ConclusionWe report an SPG4 family with a novel heterozygous frameshift variant p.H289Lfs*27 in SPAST. Our study implies haploinsufficiency as the pathogenic mechanism for this variant and expands the known mutation spectrum of SPAST.
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Regensburger M, Spatz IT, Ollenschläger M, Martindale CF, Lindeburg P, Kohl Z, Eskofier B, Klucken J, Schüle R, Klebe S, Winkler J, Gaßner H. Inertial Gait Sensors to Measure Mobility and Functioning in Hereditary Spastic Paraplegia: A Cross-sectional Multicenter Clinical Study. Neurology 2022; 99:e1079-e1089. [PMID: 35667840 PMCID: PMC9519248 DOI: 10.1212/wnl.0000000000200819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 04/19/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Hereditary spastic paraplegia (HSP) causes progressive spasticity and weakness of the lower limbs. As neurologic examination and the clinical Spastic Paraplegia Rating Scale (SPRS) are subject to potential patient-dependent and clinician-dependent bias, instrumented gait analysis bears the potential to objectively quantify impaired gait. The aim of this study was to investigate gait cyclicity parameters by application of a mobile gait analysis system in a cross-sectional cohort of patients with HSP and a longitudinal fast progressing subcohort. METHODS Using wearable sensors attached to the shoes, patients with HSP and controls performed a 4 × 10 m walking test during regular visits in 3 outpatient centers. Patients were also rated according to the SPRS, and in a subset, questionnaires on quality of life and fear of falling were obtained. An unsupervised segmentation algorithm was used to extract stride parameters and respective coefficients of variation. RESULTS Mobile gait analysis was performed in a total of 112 ambulatory patients with HSP and 112 age-matched and sex-matched controls. Although swing time was unchanged compared with controls, there were significant increases in the duration of the total stride phase and the duration of the stance phase, both regarding absolute values and coefficients of variation values. Although stride parameters did not correlate with age, weight, or height of the patients, there were significant associations of absolute stride parameters with single SPRS items reflecting impaired mobility (|r| > 0.50), with patients' quality of life (|r| > 0.44), and notably with disease duration (|r| > 0.27). Sensor-derived coefficients of variation, on the other hand, were associated with patient-reported fear of falling (|r| > 0.41) and cognitive impairment (|r| > 0.40). In a small 1-year follow-up analysis of patients with complicated HSP and fast progression, the absolute values of mobile gait parameters had significantly worsened compared with baseline. DISCUSSION The presented wearable sensor system provides parameters of stride characteristics which seem clinically valid to reflect gait impairment in HSP. Owing to the feasibility regarding time, space, and costs, this study forms the basis for larger scale longitudinal and interventional studies in HSP.
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Affiliation(s)
- Martin Regensburger
- From the Department of Molecular Neurology (M.R., I.T.S., M.O., Z.K., J.K., J.W., H.G.), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Center for Rare Diseases Erlangen (ZSEER) (M.R., Z.K., J.W., H.G.), Universitätsklinikum Erlangen; Machine Learning and Data Analytics Lab (M.O., C.F.M., B.E.), Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Department of Neurology (P.L., S.K.), University Hospital Essen; Department of Neurodegenerative Diseases (R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (R.S.), Tübingen; and Fraunhofer IIS (H.G.), Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany.
| | - Imke Tabea Spatz
- From the Department of Molecular Neurology (M.R., I.T.S., M.O., Z.K., J.K., J.W., H.G.), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Center for Rare Diseases Erlangen (ZSEER) (M.R., Z.K., J.W., H.G.), Universitätsklinikum Erlangen; Machine Learning and Data Analytics Lab (M.O., C.F.M., B.E.), Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Department of Neurology (P.L., S.K.), University Hospital Essen; Department of Neurodegenerative Diseases (R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (R.S.), Tübingen; and Fraunhofer IIS (H.G.), Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany
| | - Malte Ollenschläger
- From the Department of Molecular Neurology (M.R., I.T.S., M.O., Z.K., J.K., J.W., H.G.), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Center for Rare Diseases Erlangen (ZSEER) (M.R., Z.K., J.W., H.G.), Universitätsklinikum Erlangen; Machine Learning and Data Analytics Lab (M.O., C.F.M., B.E.), Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Department of Neurology (P.L., S.K.), University Hospital Essen; Department of Neurodegenerative Diseases (R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (R.S.), Tübingen; and Fraunhofer IIS (H.G.), Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany
| | - Christine F Martindale
- From the Department of Molecular Neurology (M.R., I.T.S., M.O., Z.K., J.K., J.W., H.G.), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Center for Rare Diseases Erlangen (ZSEER) (M.R., Z.K., J.W., H.G.), Universitätsklinikum Erlangen; Machine Learning and Data Analytics Lab (M.O., C.F.M., B.E.), Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Department of Neurology (P.L., S.K.), University Hospital Essen; Department of Neurodegenerative Diseases (R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (R.S.), Tübingen; and Fraunhofer IIS (H.G.), Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany
| | - Philipp Lindeburg
- From the Department of Molecular Neurology (M.R., I.T.S., M.O., Z.K., J.K., J.W., H.G.), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Center for Rare Diseases Erlangen (ZSEER) (M.R., Z.K., J.W., H.G.), Universitätsklinikum Erlangen; Machine Learning and Data Analytics Lab (M.O., C.F.M., B.E.), Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Department of Neurology (P.L., S.K.), University Hospital Essen; Department of Neurodegenerative Diseases (R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (R.S.), Tübingen; and Fraunhofer IIS (H.G.), Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany
| | - Zacharias Kohl
- From the Department of Molecular Neurology (M.R., I.T.S., M.O., Z.K., J.K., J.W., H.G.), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Center for Rare Diseases Erlangen (ZSEER) (M.R., Z.K., J.W., H.G.), Universitätsklinikum Erlangen; Machine Learning and Data Analytics Lab (M.O., C.F.M., B.E.), Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Department of Neurology (P.L., S.K.), University Hospital Essen; Department of Neurodegenerative Diseases (R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (R.S.), Tübingen; and Fraunhofer IIS (H.G.), Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany
| | - Björn Eskofier
- From the Department of Molecular Neurology (M.R., I.T.S., M.O., Z.K., J.K., J.W., H.G.), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Center for Rare Diseases Erlangen (ZSEER) (M.R., Z.K., J.W., H.G.), Universitätsklinikum Erlangen; Machine Learning and Data Analytics Lab (M.O., C.F.M., B.E.), Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Department of Neurology (P.L., S.K.), University Hospital Essen; Department of Neurodegenerative Diseases (R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (R.S.), Tübingen; and Fraunhofer IIS (H.G.), Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany
| | - Jochen Klucken
- From the Department of Molecular Neurology (M.R., I.T.S., M.O., Z.K., J.K., J.W., H.G.), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Center for Rare Diseases Erlangen (ZSEER) (M.R., Z.K., J.W., H.G.), Universitätsklinikum Erlangen; Machine Learning and Data Analytics Lab (M.O., C.F.M., B.E.), Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Department of Neurology (P.L., S.K.), University Hospital Essen; Department of Neurodegenerative Diseases (R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (R.S.), Tübingen; and Fraunhofer IIS (H.G.), Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany
| | - Rebecca Schüle
- From the Department of Molecular Neurology (M.R., I.T.S., M.O., Z.K., J.K., J.W., H.G.), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Center for Rare Diseases Erlangen (ZSEER) (M.R., Z.K., J.W., H.G.), Universitätsklinikum Erlangen; Machine Learning and Data Analytics Lab (M.O., C.F.M., B.E.), Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Department of Neurology (P.L., S.K.), University Hospital Essen; Department of Neurodegenerative Diseases (R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (R.S.), Tübingen; and Fraunhofer IIS (H.G.), Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany
| | - Stephan Klebe
- From the Department of Molecular Neurology (M.R., I.T.S., M.O., Z.K., J.K., J.W., H.G.), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Center for Rare Diseases Erlangen (ZSEER) (M.R., Z.K., J.W., H.G.), Universitätsklinikum Erlangen; Machine Learning and Data Analytics Lab (M.O., C.F.M., B.E.), Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Department of Neurology (P.L., S.K.), University Hospital Essen; Department of Neurodegenerative Diseases (R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (R.S.), Tübingen; and Fraunhofer IIS (H.G.), Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany
| | - Jürgen Winkler
- From the Department of Molecular Neurology (M.R., I.T.S., M.O., Z.K., J.K., J.W., H.G.), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Center for Rare Diseases Erlangen (ZSEER) (M.R., Z.K., J.W., H.G.), Universitätsklinikum Erlangen; Machine Learning and Data Analytics Lab (M.O., C.F.M., B.E.), Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Department of Neurology (P.L., S.K.), University Hospital Essen; Department of Neurodegenerative Diseases (R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (R.S.), Tübingen; and Fraunhofer IIS (H.G.), Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany
| | - Heiko Gaßner
- From the Department of Molecular Neurology (M.R., I.T.S., M.O., Z.K., J.K., J.W., H.G.), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Center for Rare Diseases Erlangen (ZSEER) (M.R., Z.K., J.W., H.G.), Universitätsklinikum Erlangen; Machine Learning and Data Analytics Lab (M.O., C.F.M., B.E.), Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU); Department of Neurology (P.L., S.K.), University Hospital Essen; Department of Neurodegenerative Diseases (R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (R.S.), Tübingen; and Fraunhofer IIS (H.G.), Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany
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10
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Rossi S, Rubegni A, Riso V, Barghigiani M, Bassi MT, Battini R, Bertini E, Cereda C, Cioffi E, Criscuolo C, Dal Fabbro B, Dato C, D'Angelo MG, Di Muzio A, Diamanti L, Dotti MT, Filla A, Gioiosa V, Liguori R, Martinuzzi A, Massa R, Mignarri A, Moroni R, Musumeci O, Nicita F, Orologio I, Orsi L, Pegoraro E, Petrucci A, Plumari M, Ricca I, Rizzo G, Romano S, Rumore R, Sampaolo S, Scarlato M, Seri M, Stefan C, Straccia G, Tessa A, Travaglini L, Trovato R, Ulgheri L, Vazza G, Orlacchio A, Silvestri G, Santorelli FM, Melone MAB, Casali C. Clinical-Genetic Features Influencing Disability in Spastic Paraplegia Type 4. Neurol Genet 2022; 8:e664. [PMID: 35372684 PMCID: PMC8969300 DOI: 10.1212/nxg.0000000000000664] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 01/31/2022] [Indexed: 11/15/2022]
Abstract
Background and ObjectivesHereditary spastic paraplegias (HSPs) are a group of inherited rare neurologic disorders characterized by length-dependent degeneration of the corticospinal tracts and dorsal columns, whose prominent clinical feature is represented by spastic gait. Spastic paraplegia type 4 (SPG4, SPAST-HSP) is the most common form. We present both clinical and molecular findings of a large cohort of patients, with the aim of (1) defining the clinical spectrum of SPAST-HSP in Italy; (2) describing their molecular features; and (3) assessing genotype-phenotype correlations to identify features associated with worse disability.MethodsA cross-sectional retrospective study with molecular and clinical data collected in an anonymized database was performed.ResultsA total of 723 Italian patients with SPAST-HSP (58% men) from 316 families, with a median age at onset of 35 years, were included. Penetrance was 97.8%, with men showing higher Spastic Paraplegia Rating Scale (SPRS) scores (19.67 ± 12.58 vs 16.15 ± 12.61, p = 0.009). In 26.6% of patients with SPAST-HSP, we observed a complicated phenotype, mainly including intellectual disability (8%), polyneuropathy (6.7%), and cognitive decline (6.5%). Late-onset cases seemed to progress more rapidly, and patients with a longer disease course displayed a more severe neurologic disability, with higher SPATAX (3.61 ± 1.46 vs 2.71 ± 1.20, p < 0.001) and SPRS scores (22.63 ± 11.81 vs 12.40 ± 8.83, p < 0.001). Overall, 186 different variants in the SPAST gene were recorded, of which 48 were novel. Patients with SPAST-HSP harboring missense variants displayed intellectual disability (14.5% vs 4.4%, p < 0.001) more frequently, whereas patients with truncating variants presented more commonly cognitive decline (9.7% vs 2.6%, p = 0.001), cerebral atrophy (11.2% vs 3.4%, p = 0.003), lower limb spasticity (61.5% vs 44.5%), urinary symptoms (50.0% vs 31.3%, p < 0.001), and sensorimotor polyneuropathy (11.1% vs 1.1%, p < 0.001). Increasing disease duration (DD) and abnormal motor evoked potentials (MEPs) were also associated with increased likelihood of worse disability (SPATAX score>3).DiscussionThe SPAST-HSP phenotypic spectrum in Italian patients confirms a predominantly pure form of HSP with mild-to-moderate disability in 75% of cases, and slight prevalence of men, who appeared more severely affected. Early-onset cases with intellectual disability were more frequent among patients carrying missense SPAST variants, whereas patients with truncating variants showed a more complicated disease. Both longer DD and altered MEPs are associated with worse disability.
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11
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Lallemant-Dudek P, Darios F, Durr A. Recent advances in understanding hereditary spastic paraplegias and emerging therapies. Fac Rev 2021; 10:27. [PMID: 33817696 PMCID: PMC8009193 DOI: 10.12703/r/10-27] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Hereditary spastic paraplegias (HSPs) are a group of rare, inherited, neurological diseases characterized by broad clinical and genetic heterogeneity. Lower-limb spasticity with first motoneuron involvement is the core symptom of all HSPs. As spasticity is a syndrome and not a disease, it develops on top of other neurological signs (ataxia, dystonia, and parkinsonism). Indeed, the definition of genes responsible for HSPs goes beyond the 79 identified SPG genes. In order to avoid making a catalog of the different genes involved in HSP in any way, we have chosen to focus on the HSP with cerebellar ataxias since this is a frequent association described for several genes. This overlap leads to an intermediary group of spastic ataxias which is actively genetically and clinically studied. The most striking example is SPG7, which is responsible for HSP or cerebellar ataxia or both. There are no specific therapies against HSPs, and there is a dearth of randomized trials in patients with HSP, especially on spasticity when it likely results from other mechanisms. Thus far, no gene-specific therapy has been developed for HSP, but emerging therapies in animal models and neurons derived from induced pluripotent stem cells are potential treatments for patients.
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Affiliation(s)
- Pauline Lallemant-Dudek
- Paris Brain Institute (ICM), Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
| | - Frederic Darios
- Paris Brain Institute (ICM), Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
| | - Alexandra Durr
- Paris Brain Institute (ICM), Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- Assistance Publique-Hôpitaux de Paris (AP-HP), Genetic Department, Pitié-Salpêtrière University Hospital, Paris, France
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12
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Diniz de Lima F, Faber I, Servelhere KR, Bittar MFR, Martinez ARM, Piovesana LG, Martins MP, Martins CR, Benaglia T, de Sá Carvalho B, Nucci A, França MC. Randomized Trial of Botulinum Toxin Type A in Hereditary Spastic Paraplegia - The SPASTOX Trial. Mov Disord 2021; 36:1654-1663. [PMID: 33595142 DOI: 10.1002/mds.28523] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 12/22/2020] [Accepted: 01/07/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Hereditary spastic paraplegia presents spasticity as the main clinical manifestation, reducing gait quality and producing incapacity. Management with botulinum toxin type A (BoNT-A) is not well elucidated. The objective of the current study was to evaluate the efficacy and safety of BoNT-A in patients with hereditary spastic paraplegias. METHODS This was a double-blind, randomized, placebo-controlled crossover trial. Each participant was randomly assigned to receive 1 injection session of either BoNT-A (100 IU/2 mL of Prosigne in each adductor magnus and each triceps surae) or saline 0.9% (2 mL). The primary outcome measure was change from baseline in maximal gait velocity, and secondary outcome measures included changes in gait at self-selected velocity, spasticity, muscle strength, Spastic Paraplegia Rating Scale, pain, fatigue, and subjective perception of improvement. We also looked at adverse events reported by the patients. RESULTS We enrolled 55 patients, 36 of whom were men and 41 with the pure phenotype. Mean age was 43 ± 13.4 years (range, 19-72 years), mean age of onset waws 27 ± 13.1 years (range, <1 to 55 yars), and mean disease duration was 17 ± 12.7 years (range, 1-62 years). Compared with baseline, we did not find significant differences between groups in primary and secondary outcomes, except for reduction in adductor tone (P = 0.01). The adverse events were transient and tolerable, and their incidence did not significantly differ between treatments (P = 0.17). CONCLUSIONS BoNT-A was safe in patients with hereditary spastic paraplegias and reduced the adductor tone, but it was not able to produce functional improvement considering the doses, injection protocol, measures, and instruments used. © 2021 International Parkinson and Movement Disorder Society.
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Affiliation(s)
| | - Ingrid Faber
- Department of Neurology, University of Campinas (UNICAMP), Campinas, Brazil
| | | | | | | | - Luiza G Piovesana
- Department of Neurology, University of Campinas (UNICAMP), Campinas, Brazil
| | - Melina P Martins
- Department of Neurology, University of Campinas (UNICAMP), Campinas, Brazil
| | | | - Tatiana Benaglia
- Department of Statistics, University of Campinas (UNICAMP), Campinas, Brazil
| | | | - Anamarli Nucci
- Department of Neurology, University of Campinas (UNICAMP), Campinas, Brazil
| | - Marcondes C França
- Department of Neurology, University of Campinas (UNICAMP), Campinas, Brazil
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13
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Kloth K, Cozma C, Bester M, Gerloff C, Biskup S, Zittel S. Dystonia as initial presentation of compound heterozygous GBA2 mutations: Expanding the phenotypic spectrum of SPG46. Eur J Med Genet 2020; 63:103992. [PMID: 32590105 DOI: 10.1016/j.ejmg.2020.103992] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 05/30/2020] [Accepted: 06/14/2020] [Indexed: 12/17/2022]
Abstract
GBA2 associated spastic paraplegia type 46 (SPG46) is an autosomal-recessive disorder associated with a clinical presentation of spastic gait, muscle weakness as well as an array of clinical symptoms including pseudobulbar palsy and progressive cognitive decline. Several neurological and non-neurological symptoms are associated with GBA2 mutations. An initial presentation with dystonia has not been reported so far. We report clinical, genetic and brain imaging findings in two siblings with hereditary spastic paraparesis. One sister presented with juvenile-onset leg spasticity and progressed to spastic tetraparesis, cervical and jaw opening dystonia, pseudobulbar symptoms and dementia. The other sister initially developed cervical dystonia in adulthood followed by gait spasticity and cognitive decline in the disease course. Molecular genetic testing revealed novel compound heterozygous variants in GBA2 in both sisters. The initial presentation with cervical dystonia and the differing clinical disease progression expand the clinical phenotype of GBA2 associated SPG46.
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Affiliation(s)
- Katja Kloth
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Claudia Cozma
- Centogene AG, Department of Biomarker Research and Development, Rostock, Germany
| | - Maxim Bester
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Gerloff
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Saskia Biskup
- Praxis für Humangenetik Tuebingen, Paul-Ehrlich-Str. 23, 72076, Tuebingen, Germany
| | - Simone Zittel
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
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