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Hustinx M, Shorrocks AM, Servais L. Novel Therapeutic Approaches in Inherited Neuropathies: A Systematic Review. Pharmaceutics 2023; 15:1626. [PMID: 37376074 DOI: 10.3390/pharmaceutics15061626] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/17/2023] [Accepted: 05/27/2023] [Indexed: 06/29/2023] Open
Abstract
The management of inherited neuropathies relies mostly on the treatment of symptoms. In recent years, a better understanding of the pathogenic mechanisms that underlie neuropathies has allowed for the development of disease-modifying therapies. Here, we systematically review the therapies that have emerged in this field over the last five years. An updated list of diseases with peripheral neuropathy as a clinical feature was created based on panels of genes used clinically to diagnose inherited neuropathy. This list was extended by an analysis of published data by the authors and verified by two experts. A comprehensive search for studies of human patients suffering from one of the diseases in our list yielded 28 studies that assessed neuropathy as a primary or secondary outcome. Although the use of various scales and scoring systems made comparisons difficult, this analysis identified diseases associated with neuropathy for which approved therapies exist. An important finding is that the symptoms and/or biomarkers of neuropathies were assessed only in a minority of cases. Therefore, further investigation of treatment efficacy on neuropathies in future trials must employ objective, consistent methods such as wearable technologies, motor unit indexes, MRI or sonography imaging, or the use of blood biomarkers associated with consistent nerve conduction studies.
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Affiliation(s)
- Manon Hustinx
- Department of Paediatrics, MDUK Oxford Neuromuscular Centre and, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford OX1 3DW, UK
- Centre de Référence des Maladies Neuromusculaires, Department of Neurology, University Hospital Liège, and University of Liège, 4000 Liège, Belgium
| | - Ann-Marie Shorrocks
- Department of Paediatrics, MDUK Oxford Neuromuscular Centre and, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford OX1 3DW, UK
| | - Laurent Servais
- Department of Paediatrics, MDUK Oxford Neuromuscular Centre and, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford OX1 3DW, UK
- Centre de Référence des Maladies Neuromusculaires, Department of Paediatrics, University Hospital Liège, and University of Liège, 4000 Liège, Belgium
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Corrà MF, Vila-Chã N, Sardoeira A, Hansen C, Sousa AP, Reis I, Sambayeta F, Damásio J, Calejo M, Schicketmueller A, Laranjinha I, Salgado P, Taipa R, Magalhães R, Correia M, Maetzler W, Maia LF. Peripheral neuropathy in Parkinson's disease: prevalence and functional impact on gait and balance. Brain 2022; 146:225-236. [PMID: 35088837 PMCID: PMC9825570 DOI: 10.1093/brain/awac026] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 12/03/2021] [Accepted: 12/21/2021] [Indexed: 01/12/2023] Open
Abstract
Peripheral neuropathy is a common problem in patients with Parkinson's disease. Peripheral neuropathy's prevalence in Parkinson's disease varies between 4.8-55%, compared with 9% in the general population. It remains unclear whether peripheral neuropathy leads to decreased motor performance in Parkinson's disease, resulting in impaired mobility and increased balance deficits. We aimed to determine the prevalence and type of peripheral neuropathy in Parkinson's disease patients and evaluate its functional impact on gait and balance. A cohort of consecutive Parkinson's disease patients assessed by movement disorders specialists based on the UK Brain Bank criteria underwent clinical, neurophysiological (nerve conduction studies and quantitative sensory testing) and neuropathological (intraepidermal nerve fibre density in skin biopsy punches) evaluation to characterize the peripheral neuropathy type and aetiology using a cross-sectional design. Gait and balance were characterized using wearable health-technology in OFF and ON medication states, and the main parameters were extracted using validated algorithms. A total of 99 Parkinson's disease participants with a mean age of 67.2 (±10) years and mean disease duration of 6.5 (±5) years were assessed. Based on a comprehensive clinical, neurophysiological and neuropathological evaluation, we found that 40.4% of Parkinson's disease patients presented peripheral neuropathy, with a predominance of small fibre neuropathy (70% of the group). In the OFF state, the presence of peripheral neuropathy was significantly associated with shorter stride length (P = 0.029), slower gait speed (P = 0.005) and smaller toe-off angles (P = 0.002) during straight walking; significantly slower speed (P = 0.019) and smaller toe-off angles (P = 0.007) were also observed during circular walking. In the ON state, the above effects remained, albeit moderately reduced. With regard to balance, significant differences between Parkinson's disease patients with and without peripheral neuropathy were observed in the OFF medication state during stance with closed eyes on a foam surface. In the ON states, these differences were no longer observable. We showed that peripheral neuropathy is common in Parkinson's disease and influences gait and balance parameters, as measured with mobile health-technology. Our study supports that peripheral neuropathy recognition and directed treatment should be pursued in order to improve gait in Parkinson's disease patients and minimize balance-related disability, targeting individualized medical care.
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Affiliation(s)
- Marta Francisca Corrà
- Instituto de Ciências Biomédicas Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal,Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal,Institute for Research and Innovation in Health (i3s), University of Porto, 4200-135 Porto, Portugal
| | - Nuno Vila-Chã
- Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal
| | - Ana Sardoeira
- Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal
| | - Clint Hansen
- Department of Neurology, Kiel University, 24118 Kiel, Germany
| | - Ana Paula Sousa
- Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal
| | - Inês Reis
- Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal
| | - Firmina Sambayeta
- Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal
| | - Joana Damásio
- Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal
| | - Margarida Calejo
- Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal
| | - Andreas Schicketmueller
- Institute for Medical Engineering and Research Campus STIMULATE, University of Magdeburg, 39106 Magdeburg, Germany,HASOMED GmbH, 39114 Magdeburg, Germany
| | - Inês Laranjinha
- Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal
| | - Paula Salgado
- Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal
| | - Ricardo Taipa
- Instituto de Ciências Biomédicas Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal,Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal
| | - Rui Magalhães
- Instituto de Ciências Biomédicas Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal,Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal
| | - Manuel Correia
- Instituto de Ciências Biomédicas Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal,Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal
| | - Walter Maetzler
- Department of Neurology, Kiel University, 24118 Kiel, Germany
| | - Luís F Maia
- Correspondence to: Luís F. Maia Department of Neurology Centro Hospitalar Universitario do Porto (CHUPorto) Largo do Prof. Abel Salazar, 4099-001 Porto, Portugal E-mail:
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Motahari-Nezhad H, Fgaier M, Mahdi Abid M, Péntek M, Gulácsi L, Zrubka Z. Scoping review of systematic reviews of digital biomarker-based studies (Preprint). JMIR Mhealth Uhealth 2021; 10:e35722. [DOI: 10.2196/35722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 04/20/2022] [Accepted: 07/26/2022] [Indexed: 11/13/2022] Open
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Ghislieri M, Agostini V, Rizzi L, Knaflitz M, Lanotte M. Atypical Gait Cycles in Parkinson's Disease. SENSORS (BASEL, SWITZERLAND) 2021; 21:5079. [PMID: 34372315 PMCID: PMC8347347 DOI: 10.3390/s21155079] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 07/21/2021] [Accepted: 07/23/2021] [Indexed: 12/15/2022]
Abstract
It is important to find objective biomarkers for evaluating gait in Parkinson's Disease (PD), especially related to the foot and lower leg segments. Foot-switch signals, analyzed through Statistical Gait Analysis (SGA), allow the foot-floor contact sequence to be characterized during a walking session lasting five-minutes, which includes turnings. Gait parameters were compared between 20 PD patients and 20 age-matched controls. PDs showed similar straight-line speed, cadence, and double-support compared to controls, as well as typical gait-phase durations, except for a small decrease in the flat-foot contact duration (-4% of the gait cycle, p = 0.04). However, they showed a significant increase in atypical gait cycles (+42%, p = 0.006), during both walking straight and turning. A forefoot strike, instead of a "normal" heel strike, characterized the large majority of PD's atypical cycles, whose total percentage was 25.4% on the most-affected and 15.5% on the least-affected side. Moreover, we found a strong correlation between the atypical cycles and the motor clinical score UPDRS-III (r = 0.91, p = 0.002), in the subset of PD patients showing an abnormal number of atypical cycles, while we found a moderate correlation (r = 0.60, p = 0.005), considering the whole PD population. Atypical cycles have proved to be a valid biomarker to quantify subtle gait dysfunctions in PD patients.
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Affiliation(s)
- Marco Ghislieri
- Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Turin, Italy; (V.A.); (M.K.)
- PoliToBIOMed Lab, Politecnico di Torino, 10129 Turin, Italy
| | - Valentina Agostini
- Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Turin, Italy; (V.A.); (M.K.)
- PoliToBIOMed Lab, Politecnico di Torino, 10129 Turin, Italy
| | - Laura Rizzi
- Department of Neuroscience “Rita Levi Montalcini”, University of Turin, 10126 Turin, Italy; (L.R.); (M.L.)
- AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Marco Knaflitz
- Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Turin, Italy; (V.A.); (M.K.)
- PoliToBIOMed Lab, Politecnico di Torino, 10129 Turin, Italy
| | - Michele Lanotte
- Department of Neuroscience “Rita Levi Montalcini”, University of Turin, 10126 Turin, Italy; (L.R.); (M.L.)
- AOU Città della Salute e della Scienza di Torino, 10126 Turin, Italy
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Miranda-Duro MDC, Nieto-Riveiro L, Concheiro-Moscoso P, Groba B, Pousada T, Canosa N, Pereira J. Analysis of Older Adults in Spanish Care Facilities, Risk of Falling and Daily Activity Using Xiaomi Mi Band 2. SENSORS (BASEL, SWITZERLAND) 2021; 21:3341. [PMID: 34064993 PMCID: PMC8150783 DOI: 10.3390/s21103341] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 05/07/2021] [Accepted: 05/07/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND Presently the use of technological devices such as wearable devices has emerged. Physical activity monitoring with wearable sensors is an easy and non-intrusive approach to encourage preventive care for older adults. It may be useful to follow a continuous assessment of the risk of falling. The objective is to explore the relationship between the daily activity measured by Xiaomi Mi Band 2 and the risk of falling of older adults residing in or attending care facilities. METHODS A cross-sectional study was conducted on three different institutions located in Galicia (autonomous community) (Spain). RESULTS A total of 31 older adults were included in the study, with a mean age of 84 ± 8.71 years old. The main findings obtained were that a greater number of steps and distance could be related to a lower probability of falling, of dependency in basic activities of daily living, or of mobility problems. CONCLUSIONS The importance of focusing on daily steps, intrinsically related to the objective assessment of daily physical activity, is that it is a modifiable factor that impacts different aspects of health and quality of life.
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Affiliation(s)
- María del Carmen Miranda-Duro
- CITIC (Centre for Information and Communications Technology Research), TALIONIS Group, Elviña Campus, University of A Coruna, 15071 A Coruña, Spain; (M.d.C.M.-D.); (P.C.-M.); (B.G.); (T.P.); (N.C.); (J.P.)
- Department of Physiotherapy, Medicine and Biomedical Sciences, Faculty of Health Sciences, Oza Campus, University of A Coruna, 15071 A Coruña, Spain
| | - Laura Nieto-Riveiro
- CITIC (Centre for Information and Communications Technology Research), TALIONIS Group, Elviña Campus, University of A Coruna, 15071 A Coruña, Spain; (M.d.C.M.-D.); (P.C.-M.); (B.G.); (T.P.); (N.C.); (J.P.)
- Department of Health Sciences, Faculty of Health Sciences, Oza Campus, University of A Coruna, 15071 A Coruña, Spain
| | - Patricia Concheiro-Moscoso
- CITIC (Centre for Information and Communications Technology Research), TALIONIS Group, Elviña Campus, University of A Coruna, 15071 A Coruña, Spain; (M.d.C.M.-D.); (P.C.-M.); (B.G.); (T.P.); (N.C.); (J.P.)
- Department of Physiotherapy, Medicine and Biomedical Sciences, Faculty of Health Sciences, Oza Campus, University of A Coruna, 15071 A Coruña, Spain
| | - Betania Groba
- CITIC (Centre for Information and Communications Technology Research), TALIONIS Group, Elviña Campus, University of A Coruna, 15071 A Coruña, Spain; (M.d.C.M.-D.); (P.C.-M.); (B.G.); (T.P.); (N.C.); (J.P.)
- Department of Health Sciences, Faculty of Health Sciences, Oza Campus, University of A Coruna, 15071 A Coruña, Spain
| | - Thais Pousada
- CITIC (Centre for Information and Communications Technology Research), TALIONIS Group, Elviña Campus, University of A Coruna, 15071 A Coruña, Spain; (M.d.C.M.-D.); (P.C.-M.); (B.G.); (T.P.); (N.C.); (J.P.)
- Department of Health Sciences, Faculty of Health Sciences, Oza Campus, University of A Coruna, 15071 A Coruña, Spain
| | - Nereida Canosa
- CITIC (Centre for Information and Communications Technology Research), TALIONIS Group, Elviña Campus, University of A Coruna, 15071 A Coruña, Spain; (M.d.C.M.-D.); (P.C.-M.); (B.G.); (T.P.); (N.C.); (J.P.)
- Department of Health Sciences, Faculty of Health Sciences, Oza Campus, University of A Coruna, 15071 A Coruña, Spain
| | - Javier Pereira
- CITIC (Centre for Information and Communications Technology Research), TALIONIS Group, Elviña Campus, University of A Coruna, 15071 A Coruña, Spain; (M.d.C.M.-D.); (P.C.-M.); (B.G.); (T.P.); (N.C.); (J.P.)
- Department of Physiotherapy, Medicine and Biomedical Sciences, Faculty of Health Sciences, Oza Campus, University of A Coruna, 15071 A Coruña, Spain
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Egan S, Brama PAJ, Goulding C, McKeown D, Kearney CM, McGrath D. The Feasibility of Equine Field-Based Postural Sway Analysis Using a Single Inertial Sensor. SENSORS (BASEL, SWITZERLAND) 2021; 21:1286. [PMID: 33670238 PMCID: PMC7916957 DOI: 10.3390/s21041286] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 01/29/2021] [Accepted: 02/04/2021] [Indexed: 12/19/2022]
Abstract
(1) Background: Postural sway is frequently used to quantify human postural control, balance, injury, and neurological deficits. However, there is considerably less research investigating the value of the metric in horses. Much of the existing equine postural sway research uses force or pressure plates to examine the centre of pressure, inferring change at the centre of mass (COM). This study looks at the inverse, using an inertial measurement unit (IMU) on the withers to investigate change at the COM, exploring the potential of postural sway evaluation in the applied domain. (2) Methods: The lipopolysaccharide model was used to induce transient bilateral lameness in seven equines. Horses were monitored intermittently by a withers fixed IMU over seven days. (3) Results: There was a significant effect of time on total protein, carpal circumference, and white blood cell count in the horses, indicating the presence of, and recovery from, inflammation. There was a greater amplitude of displacement in the craniocaudal (CC) versus the mediolateral (ML) direction. A significant difference was observed in the amplitude of displacement in the ML direction between 4-12 h and 168 h. (4) Conclusions: The significant reduction in ML displacement during the acute inflammation period alongside greater overall CC displacement may be a compensatory behaviour for bilateral lameness.
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Affiliation(s)
- Sonja Egan
- Institute for Sport and Health, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin D04 V1W8, Ireland;
| | - Pieter A. J. Brama
- Section Veterinary Clinical Sciences, School of Veterinary Medicine, University College Dublin, Dublin D04 V1W8, Ireland; (P.A.J.B.); (C.M.K.)
| | - Cathy Goulding
- The Insight SFI Research Centre for Data Analytics, University College Dublin, Dublin D04 V1W8, Ireland;
| | - David McKeown
- School of Mechanical and Materials Engineering, University College Dublin, Dublin D04 V1W8, Ireland;
| | - Clodagh M. Kearney
- Section Veterinary Clinical Sciences, School of Veterinary Medicine, University College Dublin, Dublin D04 V1W8, Ireland; (P.A.J.B.); (C.M.K.)
| | - Denise McGrath
- Institute for Sport and Health, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin D04 V1W8, Ireland;
- The Insight SFI Research Centre for Data Analytics, University College Dublin, Dublin D04 V1W8, Ireland;
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