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Chen J, Zhou Y, Rao H, Liu J. Mental Fatigue in Parkinson's Disease: Systematic Review and Evaluation of Self-Reported Fatigue Scales. PARKINSON'S DISEASE 2024; 2024:9614163. [PMID: 38939533 PMCID: PMC11208863 DOI: 10.1155/2024/9614163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 03/15/2024] [Accepted: 05/04/2024] [Indexed: 06/29/2024]
Abstract
Fatigue is a common and debilitating symptom affecting a significant proportion of individuals with Parkinson's disease (PD), often overshadowing even motor symptoms in its impact on quality of life. The accurate definition and assessment of mental fatigue in PD is crucial for both clinical management and research, yet it remains a challenge due to the subjective nature of the symptom and the heterogeneity of assessment scales. This systematic review examined the existing measures of self-reported mental fatigue in PD by searching through PubMed, Embase, and Scopus databases using specific keywords from 2001 to 2024. Out of the 4182 articles found, 40 met the inclusion criteria, and 14 different scales were identified to measure self-reported fatigue in PD patients. However, most of these scales lack a consistent definition of fatigue, indicating a need for validated combinations of unidimensional and multidimensional scales to accurately assess mental fatigue in PD. The review found that it is best to use Fatigue Severity Inventory (FSI) and Multidimensional Fatigue Inventory (MdFI) to screen for severity of PD mental fatigue and Neuro-QoL Item Bank v1.0 (Neuro-QoL) to evaluate its impact on patients' lives. Furthermore, multidimensional scales Parkinson's Disease Questionnaire (PDQ) and Functional Assessment of Chronic Illness Therapy-Fatigue Scale (FACIT-F) are frequently coupled with Fatigue Severity Scale (FSS), Parkinson's Fatigue Scale (PFS), and/or Modified Fatigue Impact Scale (MFIS) due to their short length and holistic coverage of variables in patients' quality of life. Combining fatigue scales can be used for screening and scoring methods. The review also recommends validating fatigue scales translation and combining them with biomarkers to improve the accuracy and effectiveness of fatigue assessment in clinical practice. Future research should analyze correlations between fatigue scales, expand language types, and explore the link between fatigue scales and the pathophysiological basis of PD. Our findings underscore the need for a standardized approach to the measurement of fatigue in PD and set the stage for future research to consolidate assessment tools that can reliably guide treatment strategies and improve patient outcomes.
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Affiliation(s)
- Junle Chen
- Department of Neuroscience, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yanjun Zhou
- Department of Neuroscience, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hengyi Rao
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jianghong Liu
- Department of Neuroscience, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA 19104, USA
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Orthostatic Hypotension Is a Predictor of Fatigue in Drug-Naïve Parkinson's Disease. PARKINSON'S DISEASE 2023; 2023:1700893. [PMID: 36817572 PMCID: PMC9931477 DOI: 10.1155/2023/1700893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 01/13/2023] [Accepted: 01/16/2023] [Indexed: 02/11/2023]
Abstract
Introduction Fatigue and orthostatic hypotension (OH) are common and disabling nonmotor symptoms (NMSs) of Parkinson's disease (PD), but none of the studies have reported on the longitudinal association between fatigue and OH. Methods Drug-naïve PD patients were recruited from a hospital-based cohort and evaluated with the Parkinson Fatigue Scale (PFS), head-up tilt test, Unified PD Rating Scale, Hoehn and Yahr stage, Montreal Cognitive Assessment, Scale for Outcomes in PD-Autonomic (SCOPA-AUT), Beck Depression Inventory (BDI), Beck Anxiety Inventory, PD Sleep Scale, and medications at the baseline and follow-up visits. Results A total of 80 patients were included, and the mean ages were 66.6 and 63.8 years in the fatigue and nonfatigue groups, respectively. The prevalence of fatigue was 17.5% (14/80) at the baseline and follow-up (mean follow-up: 23.3 ± 9.9 months). The prevalence of OH in the fatigue group was 57.1%, and it was significantly higher than that of the nonfatigue group. Six of the 14 patients (42.9%) in the fatigue group had persistent fatigue at the follow-up, and eight of them (57.1%) converted to the nonfatigue group. Logistic regression analysis demonstrated that the changes of BDI and the presence of OH at the baseline were the predictors for fatigue in drug-naïve PD. Conclusion Fatigue is a common NMS in PD but can vary depending on the disease course. OH and depression are the most relevant predictors for the development of fatigue in drug-naïve PD. The present study suggests that the management of autonomic symptoms and depression might be helpful for managing fatigue in PD.
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Fatigue in Patients with Idiopathic/Isolated REM Sleep Behavior Disorder. Brain Sci 2022; 12:brainsci12121728. [PMID: 36552187 PMCID: PMC9775466 DOI: 10.3390/brainsci12121728] [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: 10/13/2022] [Revised: 11/25/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022] Open
Abstract
Introduction: Fatigue is one of the most common and disabling symptoms of Parkinson’s Disease (PD). The occurrence and clinical features of fatigue in patients with prodromal PD remain largely elusive. This study aimed to investigate the prevalence and clinical characteristics of fatigue in patients with idiopathic/isolated REM sleep behavior disorders (iRBD). Methods: A total of 97 polysomnography-confirmed iRBD patients were enrolled in this study. A comprehensive neurological assessment (including motor and non-motor assessment) was performed. Fatigue was assessed using the Fatigue Severity Scale (FSS). Motor and non-motor characteristics were compared between iRBD patients with and without fatigue. Logistic regression was used to identify the factors associated with fatigue. Results: The prevalence of fatigue was 35.05%. Compared to the non-fatigue patients, patients with fatigue had higher non-motor symptom scale (NMSS) score (p = 0.009), higher Hamilton Depression Rating Scale (HAMD) score (p = 0.002), and a higher prevalence of orthostatic hypotension (p = 0.021). Multivariate regression analysis showed that depression (OR 4.17, 95% CI 1.13−15.49, p = 0.033) and orthostatic hypotension (OR 2.80, 95% CI 1.09−7.18, p = 0.032) were significantly associated with fatigue in iRBD patients. Additionally, both NMSS (rs = 0.310, p = 0.002) and HAMD (rs = 0.385, p < 0.001) scores were mildly correlated with fatigue severity. Conclusion: Our study showed that fatigue is common in patients with iRBD. In addition, depression and orthostatic hypotension were independently associated with fatigue in iRBD patients.
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Béreau M, Castrioto A, Lhommée E, Maillet A, Gérazime A, Bichon A, Pélissier P, Schmitt E, Klinger H, Longato N, Fraix V, Benatru I, Durif F, Azulay JP, Moro E, Broussolle E, Tranchant C, Anheim M, Thobois S, Krack P. Fatigue in de novo Parkinson's Disease: Expanding the Neuropsychiatric Triad? JOURNAL OF PARKINSON'S DISEASE 2022; 12:1329-1337. [PMID: 35253781 DOI: 10.3233/jpd-213116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
BACKGROUND Fatigue is a frequent and troublesome symptom present from the early stages of Parkinson's disease (PD). OBJECTIVE To examine the relationship between fatigue and the neuropsychiatric triad, which includes apathy, depression, and anxiety, in de novo PD. METHODS We performed a cross-sectional study including 197 patients with de novo PD and assessed fatigue using the Parkinson's Disease Fatigue Scale (PDFS-16). We evaluated motor status using the Unified Parkinson's Disease Rating Scale (UPDRS) part III score and evaluated neuropsychiatric status using the Ardouin Scale of Behavior in Parkinson's Disease (ASBPD). We carried out univariate and multivariate analyses to model association between motor signs, non-motor signs, and fatigue risk. RESULTS Frequency of fatigue (28.9%) was of the same order of magnitude as that of apathy. PD patients with fatigue reported a lower quality of life than patients without fatigue (p < 0.0001). The ASBPD showed that patients with fatigue had higher scores for depressed mood (p < 0.0001), anxiety (p < 0.0001), and apathy (p < 0.0001). In the univariate analysis, fatigue score was positively correlated with apathy, depression, anxiety, and the neuropsychiatric triad as a whole, and to a lesser extent with female sex, hyperemotivity, and the UPDRS part III score. In the multivariate analysis, after adjusting for sex and motor status, the fatigue score remained significantly correlated with apathy (OR = 11.17 [4.33-28.78], p < 0.0001) and depression (OR = 4.28 [1.39-13.12], p = 0.01), but not with anxiety (OR = 0.94 [0.34-2.58], p = 0.9). CONCLUSION We propose that the neuropsychiatric triad could be expanded to include fatigue.
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Affiliation(s)
- Matthieu Béreau
- Department of Neurology, University Hospital of Besançon, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UR LINC, Université Bourgogne Franche-Comté, Besançon, France
- NS-PARK/FCRIN Network, France
| | - Anna Castrioto
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Eugénie Lhommée
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Audrey Maillet
- Movement Disorders Unit, Neurology Department, Hospices Civils de Lyon, University Lyon, Lyon, France
- Faculté de Médecine Lyon Sud, Université Claude Bernard Lyon 1, Lyon, France
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Bron, France
| | - Aurélie Gérazime
- Unité de Méthodologie, CIC INSERM 1431, CHRU de Besançon, Besançon, France
| | - Amélie Bichon
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Pierre Pélissier
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Emmanuelle Schmitt
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Hélène Klinger
- Movement Disorders Unit, Neurology Department, Hospices Civils de Lyon, University Lyon, Lyon, France
- Faculté de Médecine Lyon Sud, Université Claude Bernard Lyon 1, Lyon, France
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Bron, France
| | - Nadine Longato
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Valérie Fraix
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Isabelle Benatru
- Department of Neurology, University Hospital of Poitiers, Poitiers, France
- INSERM, CHU de Poitiers, University of Poitiers, Centre d'Investigation Clinique CIC1402, Poitiers, France
| | - Franck Durif
- Neurology Department, Université Clermont Auvergne, EA7280 NPsy-Sydo, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Jean-Philippe Azulay
- Movement Disorders Unit, Neurology Department, University Hospital of Marseille, Marseille, France
| | - Elena Moro
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Emmanuel Broussolle
- Movement Disorders Unit, Neurology Department, Hospices Civils de Lyon, University Lyon, Lyon, France
- Faculté de Médecine Lyon Sud, Université Claude Bernard Lyon 1, Lyon, France
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Bron, France
| | - Christine Tranchant
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Mathieu Anheim
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), INSERM-U964/CNRS-UMR7104/Université de Strasbourg, Illkirch, France
- Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France
| | - Stéphane Thobois
- NS-PARK/FCRIN Network, France
- Movement Disorders Unit, Neurology Department, Hospices Civils de Lyon, University Lyon, Lyon, France
- Faculté de Médecine Lyon Sud, Université Claude Bernard Lyon 1, Lyon, France
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Bron, France
| | - Paul Krack
- Movement Disorders Center, Department of Neurology, University Hospital of Bern, Bern, Switzerland
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Cacabelos R, Carrera I, Martínez O, Alejo R, Fernández-Novoa L, Cacabelos P, Corzo L, Rodríguez S, Alcaraz M, Nebril L, Tellado I, Cacabelos N, Pego R, Naidoo V, Carril JC. Atremorine in Parkinson's disease: From dopaminergic neuroprotection to pharmacogenomics. Med Res Rev 2021; 41:2841-2886. [PMID: 34106485 DOI: 10.1002/med.21838] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 02/11/2021] [Accepted: 05/21/2021] [Indexed: 12/15/2022]
Abstract
Atremorine is a novel bioproduct obtained by nondenaturing biotechnological processes from a genetic species of Vicia faba. Atremorine is a potent dopamine (DA) enhancer with powerful effects on the neuronal dopaminergic system, acting as a neuroprotective agent in Parkinson's disease (PD). Over 97% of PD patients respond to a single dose of Atremorine (5 g, p.o.) 1 h after administration. This response is gender-, time-, dose-, and genotype-dependent, with optimal doses ranging from 5 to 20 g/day, depending upon disease severity and concomitant medication. Drug-free patients show an increase in DA levels from 12.14 ± 0.34 pg/ml to 6463.21 ± 1306.90 pg/ml; and patients chronically treated with anti-PD drugs show an increase in DA levels from 1321.53 ± 389.94 pg/ml to 16,028.54 ± 4783.98 pg/ml, indicating that Atremorine potentiates the dopaminergic effects of conventional anti-PD drugs. Atremorine also influences the levels of other neurotransmitters (adrenaline, noradrenaline) and hormones which are regulated by DA (e.g., prolactin, PRL), with no effect on serotonin or histamine. The variability in Atremorine-induced DA response is highly attributable to pharmacogenetic factors. Polymorphic variants in pathogenic (SNCA, NUCKS1, ITGA8, GPNMB, GCH1, BCKDK, APOE, LRRK2, ACMSD), mechanistic (DRD2), metabolic (CYP2D6, CYP2C9, CYP2C19, CYP3A4/5, NAT2), transporter (ABCB1, SLC6A2, SLC6A3, SLC6A4) and pleiotropic genes (APOE) influence the DA response to Atremorine and its psychomotor and brain effects. Atremorine enhances DNA methylation and displays epigenetic activity via modulation of the pharmacoepigenetic network. Atremorine is a novel neuroprotective agent for dopaminergic neurons with potential prophylactic and therapeutic activity in PD.
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Affiliation(s)
- Ramón Cacabelos
- Department of Genomic Medicine, EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | - Iván Carrera
- Department of Health Biotechnology, EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | - Olaia Martínez
- Department of Medical Epigenetics, EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | | | | | - Pablo Cacabelos
- Department of Digital Diagnosis, EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | - Lola Corzo
- Department of Medical Biochemistry, EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | - Susana Rodríguez
- Department of Medical Biochemistry, EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | - Margarita Alcaraz
- Department of Genomic Medicine, EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | - Laura Nebril
- Department of Genomic Medicine, EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | - Iván Tellado
- Department of Digital Diagnosis, EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | - Natalia Cacabelos
- Department of Medical Documentation, EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | - Rocío Pego
- Department of Neuropsychology, EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | - Vinogran Naidoo
- Department of Neuroscience, EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | - Juan C Carril
- Department of Genomics & Pharmacogenomics, EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
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Di Vico IA, Cirillo G, Tessitore A, Siciliano M, Venturelli M, Falup-Pecurariu C, Tedeschi G, Morgante F, Tinazzi M. Fatigue in hypokinetic, hyperkinetic, and functional movement disorders. Parkinsonism Relat Disord 2021; 86:114-123. [PMID: 33839028 DOI: 10.1016/j.parkreldis.2021.03.018] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 02/25/2021] [Accepted: 03/19/2021] [Indexed: 12/20/2022]
Abstract
The emerging science of fatigue has soundly endorsed the need for its unified definition, shared terminology and increased recognition in neurological illnesses. Nevertheless, the real impact of fatigue remains under-recognized. Fatigue describes a sense of tiredness, lack of energy or need for increased effort often perceived as overwhelming, pervasive, and disabling. It is a common feature of chronic medical conditions and neurological diseases, including Parkinson's disease (PD) and other hypokinetic, hyperkinetic, and functional movement disorders (FMD). While there is solid evidence for the burden of fatigue in PD, knowledge of fatigue in other movement disorders (MDS) is still limited. Lack of consensus definition, rigorous measures and the high prevalence of potential confounders such as apathy, depression and sleepiness are the main obstacles in studying fatigue in MDS. This review of the prevalence, impact, and clinical correlates of fatigue in common MDS summarizes current hypotheses for the pathophysiological mechanisms underlying fatigue and gives a brief overview of treatment options. Fatigue is a prevalent, disabling, primary non-motor symptom (NMS) in MDS, including atypical and secondary parkinsonisms, dystonia, essential tremor (ET) and a hallmark feature of FMD. We report the hypothesis that fatigue is a perceptual disorder of the sensorimotor system. Given the relevance of this burdensome symptom, fatigue deserves greater clinical and research attention to better understand its manifestation and pathophysiology and to improve diagnosis and treatment.
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Affiliation(s)
- Ilaria Antonella Di Vico
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
| | - Giovanni Cirillo
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy; Division of Human Anatomy - Neuronal Networks Morphology Lab, University of Campania "Luigi Vanvitelli", Naples, Italy; I Division of Neurology and Neurophysiopathology, Department of Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Alessandro Tessitore
- I Division of Neurology and Neurophysiopathology, Department of Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Mattia Siciliano
- I Division of Neurology and Neurophysiopathology, Department of Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy; Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Massimo Venturelli
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | | | - Gioacchino Tedeschi
- I Division of Neurology and Neurophysiopathology, Department of Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Francesca Morgante
- Institute of Molecular and Clinical Sciences, St George's University of London, London, UK; Department of Clinical and Experimental Medicine, University of Messina, Italy
| | - Michele Tinazzi
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
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Cacabelos R, Carrera I, Martínez O, Naidoo V, Cacabelos N, Aliev G, Carril JC. Influence of dopamine, noradrenaline, and serotonin transporters on the pharmacogenetics of Atremorine in Parkinson's disease. Drug Dev Res 2021; 82:695-706. [PMID: 33458869 DOI: 10.1002/ddr.21784] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 11/27/2020] [Accepted: 12/15/2020] [Indexed: 12/16/2022]
Abstract
Atremorine is a potent dopamine (DA) enhancer obtained by nondenaturing biotechnological processes from a genetic species of Vicia faba. Atremorine affects the neuronal dopaminergic system by acting as a neuroprotective agent against Parkinson's disease (PD). PD patients (N = 127) responded to a single dose of Atremorine (5 g, p.o.) 1 h after administration in a sex-, time-, dose-, and genotype-dependent fashion. Drug-free patients (N = 81) showed an increase in DA levels from 12.14 ± 0.34 pg/ml to 6463.21 ± 1306.90 pg/ml; and patients chronically treated with anti-PD drugs (N = 46) showed an increase in DA levels from 1321.53 ± 389.94 pg/ml to 16,028.54 ± 4783.98 pg/ml, indicating that Atremorine potentiates the dopaminergic effect of conventional anti-PD drugs. The variability in Atremorine-induced DA response is strongly attributable to pharmacogenetic factors. Polymorphic variants in pathogenic, mechanistic, metabolic, transporter, and pleiotropic genes influence the DA response to Atremorine. Genetic variation in the DA (SLC6A3; rs460000), noradrenaline (NA) (SLC6A2; rs12708954, rs3785143, rs5569), and serotonin (5-HT) transporter (SLC6A4; rs2020934, rs2020936, rs4251417, rs6354) genes exert a genotype-dependent Atremorine-induced DA response in PD, with potential impact on the DA-related pharmacogenetic outcome and minimum effects on NA and 5-HT levels.
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Affiliation(s)
- Ramón Cacabelos
- EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | - Iván Carrera
- EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | - Olaia Martínez
- EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | - Vinogran Naidoo
- EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | - Natalia Cacabelos
- EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
| | - Gjumrakch Aliev
- EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain.,Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation.,Research Institute of Human Morphology, Russian Academy of Medical Science, Moscow, Russian Federation.,Institute of Physiologically Active Compounds, Russian Academy of Sciences, Moscow, Russian Federation.,GALLY International Research Institute, San Antonio, Texas, USA
| | - Juan C Carril
- EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, Bergondo, Spain
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McMahon L, Blake C, Lennon O. Nonpharmacological interventions for respiratory health in Parkinson's disease: A systematic review and meta-analysis. Eur J Neurol 2020; 28:1022-1040. [PMID: 33098349 DOI: 10.1111/ene.14605] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 10/15/2020] [Indexed: 12/29/2022]
Abstract
BACKGROUND AND PURPOSE Respiratory dysfunction in Parkinson's disease (PD) is often an underdiagnosed and untreated impairment associated with the disease. Clinically, a reactive approach to respiratory morbidity is taken, rather than preventative approaches that address underlying impairment/s. This systematic review identifies the current evidence to support nonpharmacological interventions to improve respiratory impairments in individuals with PD. METHODS The relevant literature was searched using a customised and systematic strategy. Randomised and nonrandomised control trials of nonpharmacological interventions targeting respiratory outcome measures in PD were included. Outcomes of interest were respiratory morbidity and mortality, respiratory muscle strength, spirometry measures, lung volumes, peak cough flow, and perception of dyspnoea. RESULTS Nonpharmacological interventions included: functional training, generalised strength training, respiratory muscle strength training, aerobic exercise, qigong, yoga, breath stacking, incentive spirometry and singing. Methodological quality of included studies varied. Meta-analyses of nonpharmacological interventions demonstrated significant effects for inspiratory muscle strength (mean difference [MD] 19.68; confidence interval [CI] 8.49, 30.87; z = 3.45; p = 0.0006; I2 = 2%), expiratory muscle strength (MD 18.97; CI 7.79, 30.14; z = 3.33; p = 0.0009; I2 = 23%) and peak expiratory flow (MD 72.21; CI 31.19, 113.24; z = 3.45; p = 0.0006; I2 = 0%). Best-evidence synthesis identified level 1 evidence supporting nonpharmacological interventions for improving peak cough flow and perceived dyspnoea. No studies were identified reporting outcomes of respiratory rate, inspiration:expiration ratio or respiratory morbidity or mortality in PD. CONCLUSIONS Nonpharmacological interventions improved respiratory muscle strength and peak expiratory flow in PD. Additional trials targeting respiratory dysfunction and longitudinal studies examining the relationship between respiratory dysfunction and morbidity and mortality rates in PD are required.
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Affiliation(s)
- L McMahon
- UCD School of Public Health, Physiotherapy and Population Science, Health Sciences Centre, University College Dublin, Dublin, Ireland
| | - C Blake
- UCD School of Public Health, Physiotherapy and Population Science, Health Sciences Centre, University College Dublin, Dublin, Ireland
| | - O Lennon
- UCD School of Public Health, Physiotherapy and Population Science, Health Sciences Centre, University College Dublin, Dublin, Ireland
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