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Biju KC, Torres Hernandez E, Stallings AM, Felix-Ortiz AC, Hebbale SK, Norton L, Mader MJ, Clark RA. Metabolic dysregulation and resistance to high-fat diet-induced weight gain in mice overexpressing human wild-type α-synuclein. NPJ Parkinsons Dis 2025; 11:90. [PMID: 40274795 PMCID: PMC12022322 DOI: 10.1038/s41531-025-00961-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Accepted: 04/08/2025] [Indexed: 04/26/2025] Open
Abstract
Unintentional weight loss is common among patients with Parkinson's disease (PD) and is associated with poor quality of life and accelerated disease progression. To explore how early α-synuclein pathology contributes to metabolic dysregulation leading to weight loss in PD, transgenic mice overexpressing human wild-type α-synuclein (α-Syn) and controls were fed a high-fat diet (HFD) chow for 4 months. Compared with controls on HFD, α-Syn mice on HFD exhibited a dramatically leaner phenotype, improved glucose tolerance, a major decrease in fat mass, an increase in energy expenditure, a decrease in insulin signaling in the olfactory bulb, aggravated olfactory and motor dysfunctions, and an increase in mortality. Our results show that high-fat diet in α-Syn mice provides a sensitive tool for assessing the underlying mechanism of metabolic dysfunction and its impact on weight loss and disease progression in PD. Moreover, a role is proposed for olfactory dysfunction in PD-related unintentional weight loss.
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Affiliation(s)
- K C Biju
- South Texas Veterans Health Care System, San Antonio, TX, USA.
- Department of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
| | - Enrique Torres Hernandez
- Department of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Alison Michelle Stallings
- Department of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Ada C Felix-Ortiz
- South Texas Veterans Health Care System, San Antonio, TX, USA
- Department of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Skanda K Hebbale
- Department of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Luke Norton
- Department of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Michael J Mader
- South Texas Veterans Health Care System, San Antonio, TX, USA
| | - Robert A Clark
- South Texas Veterans Health Care System, San Antonio, TX, USA.
- Department of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
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Alia S, Andrenelli E, Di Paolo A, Membrino V, Mazzanti L, Capecci M, Vignini A, Fabri M, Ceravolo MG. Chemosensory Impairments and Their Impact on Nutrition in Parkinson's Disease: A Narrative Literature Review. Nutrients 2025; 17:671. [PMID: 40004999 PMCID: PMC11858080 DOI: 10.3390/nu17040671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2024] [Revised: 02/07/2025] [Accepted: 02/11/2025] [Indexed: 02/27/2025] Open
Abstract
Parkinson's disease (PD) is a neurological disorder characterized by heterogeneous symptomatology, in which the classical motor features of Parkinsonism are associated with clinically significant non-motor symptoms. Olfactory alteration, as a manifestation of PD's premotor or prodromal phase, is well known. These impairments can lead to malnutrition, decreased appetite, and depression, thereby worsening patients' quality of life. However, only a few studies clarify the mechanisms, characteristics, and clinical diagnostic and therapeutic implications of impaired taste perception. Moreover, unlike most motor features of PD, non-motor symptoms often have limited treatment options or responses. The purpose of this review is to collate and describe all relevant studies on taste and smell alterations in patients with PD and how these alterations could affect nutritional status. Our search aimed to identify English-language research articles and reviews published in peer-reviewed journals over the past two decades (2004-2024), while also including older foundational studies when relevant. Several studies show that hyposmia in PD worsens over time, potentially linked to structural changes in the brain's basal ganglia and piriform cortex. Severe hyposmia is also associated with a higher risk of dementia in PD patients and can negatively influence quality of life, affecting social interactions and nutrition. Regarding taste perception, recent studies have suggested that hypogeusia may occur even in the prodromal stage of PD, such as in patients with REM sleep disorder, although the exact mechanisms remain unclear. Additionally, research has explored the role of bitter taste receptors and their possible involvement in inflammation and α-synuclein misfolding, suggesting a link between taste dysfunction and immune system changes in PD. Attention was then focused on the gut microbiota's link to the central nervous system and its contribution to gustatory dysfunctions, as well as how the nasal microbiome influences PD progression by altering the olfactory system. Nowadays, the primary role of a correct diet in the overall treatment of PD patients is becoming increasingly important for practitioners. Diet should be included among the available aids to counteract some aspects of the pathology itself. For all these reasons, it is also crucial to determine whether these chemosensory impairments could serve as disease markers, helping to better understand the underlying mechanisms of the disease.
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Affiliation(s)
- Sonila Alia
- Department of Clinical Sciences, Università Politecnica delle Marche, 60126 Ancona, Italy; (S.A.); (A.D.P.); (V.M.)
| | - Elisa Andrenelli
- Department of Experimental and Clinical Medicine, Neurorehabilitation Clinic, Università Politecnica delle Marche, 60126 Ancona, Italy; (E.A.); (M.G.C.)
| | - Alice Di Paolo
- Department of Clinical Sciences, Università Politecnica delle Marche, 60126 Ancona, Italy; (S.A.); (A.D.P.); (V.M.)
| | - Valentina Membrino
- Department of Clinical Sciences, Università Politecnica delle Marche, 60126 Ancona, Italy; (S.A.); (A.D.P.); (V.M.)
| | - Laura Mazzanti
- Fondazione Salesi, Ospedale G. Salesi, 60123 Ancona, Italy;
| | - Marianna Capecci
- Department of Experimental and Clinical Medicine, Neurorehabilitation Clinic, Università Politecnica delle Marche, 60126 Ancona, Italy; (E.A.); (M.G.C.)
| | - Arianna Vignini
- Department of Clinical Sciences, Università Politecnica delle Marche, 60126 Ancona, Italy; (S.A.); (A.D.P.); (V.M.)
| | - Mara Fabri
- Department of Life and Environmental Sciences, Università Politecnica delle Marche, 60131 Ancona, Italy;
| | - Maria Gabriella Ceravolo
- Department of Experimental and Clinical Medicine, Neurorehabilitation Clinic, Università Politecnica delle Marche, 60126 Ancona, Italy; (E.A.); (M.G.C.)
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Kristiansen I, Hiorth YH, Ushakova A, Tysnes OB, Alves G. Risk factors and evolution of weight loss in Parkinson's disease: A 9-year population-based study. Parkinsonism Relat Disord 2024; 129:107181. [PMID: 39486154 DOI: 10.1016/j.parkreldis.2024.107181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 10/08/2024] [Accepted: 10/20/2024] [Indexed: 11/04/2024]
Abstract
INTRODUCTION Weight loss is considered a common complication of Parkinson's disease (PD), but there are few prospective longitudinal studies on weight loss in patients followed from time of PD diagnosis. We sought to determine the frequency, evolution and risk factors of weight loss in a representative incident PD cohort. METHODS In this prospective population-based observational study, we followed 180 newly-diagnosed, initially drug-naïve PD patients and 161 controls with repetitive weight examinations over 9 years. We used Cox regression models with adjustment for potential confounders to identify independent risk factors of clinically significant (>10 %) weight loss. RESULTS Mean % weight change during follow-up was -3.9 (±11.2) in patients and -1.4 (±8.1) in controls (p = 0.016). Clinically significant weight loss was observed in 26.7 % of patients and 10.6 % of controls (RR 2.53; 95 % CI 1.52-4.21; p < 0.001). Age was the only independent baseline risk factor for weight loss (HR 1.06 per year; 95 % CI 1.03-1.10; p < 0.001). Additional time-dependent risk factors were presence of olfactory impairment (HR 2.42; 95 % CI 1.14-5.15; p = 0.021), presence of dyskinesias (HR 3.14; 95 % CI 1.58-6.23; p = 0.001), and cognitive impairment (HR per MMSE unit 0.90; 95 % CI 0.82-0.99; p = 0.036). Dopamine agonist use reduced the risk of weight loss during follow-up (HR 0.44; 95 % CI 0.24-0.82; p = 0.007). CONCLUSION The risk of weight loss is more than doubled in the general PD population and associated with both disease-related features and drug-related complications. This suggests a multifactorial nature of weight loss in PD, which is important to consider in research and clinical practice.
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Affiliation(s)
- Ida Kristiansen
- Center for Movement Disorders, Stavanger University Hospital, Stavanger, Norway; Department of Physical Medicine and Rehabilitation, Stavanger University Hospital, Stavanger, Norway; Faculty of Health Sciences, University of Stavanger, Stavanger, Norway; Research Group of Nursing and Health Sciences, Research Department, Stavanger University Hospital, Stavanger, Norway.
| | - Ylva Hivand Hiorth
- Center for Movement Disorders, Stavanger University Hospital, Stavanger, Norway; Department of Physical Medicine and Rehabilitation, Stavanger University Hospital, Stavanger, Norway; Research Group of Nursing and Health Sciences, Research Department, Stavanger University Hospital, Stavanger, Norway.
| | - Anastasia Ushakova
- Department of Research, Section of Biostatistics, Stavanger University Hospital, Stavanger, Norway.
| | - Ole-Bjørn Tysnes
- Department of Clinical Medicine, University of Bergen, Bergen, Norway; Department of Neurology, Haukeland University Hospital, Bergen, Norway.
| | - Guido Alves
- Center for Movement Disorders, Stavanger University Hospital, Stavanger, Norway; Department of Chemistry, Bioscience and Environmental Engineering, University of Stavanger, Norway; Department of Neurology, Stavanger University Hospital, Stavanger, Norway.
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Siervo M, Johnston F, Calton E, James A, Stephan BCM, Hornsby AKE, Davies JS, Burn D. Metabolic biomarkers of appetite control in Parkinson's disease patients with and without cognitive impairment. Clin Nutr ESPEN 2024; 64:425-434. [PMID: 39491667 DOI: 10.1016/j.clnesp.2024.10.167] [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: 08/11/2024] [Revised: 10/23/2024] [Accepted: 10/25/2024] [Indexed: 11/05/2024]
Abstract
BACKGROUND Appetite dysregulation in Parkinson's Disease (PD) appears to be linked to physical and cognitive deterioration. PD patients with and without cognitive impairment (CI) were compared to an age-matched control group to explore predictors of appetite control in fasting and post-prandial conditions. METHODS Fifty-five patients were recruited and divided into three groups: twenty controls (age: 74 y, BMI: 25.8 kg/m2), nineteen PD patients without CI (72.5 y, 25.1 kg/m2) and sixteen PD patients with CI (74.3 y, 24.0 kg/m2). Self-reported appetite perception and circulating blood metabolic biomarkers were measured in fasting and over a 3-h post-prandial period. Biomarkers included glucose, insulin, tumour necrosis factor alpha (TNF-α), leptin, acyl-ghrelin, total ghrelin, peptide YY (PYY), glucagon like peptide 1 (GLP-1), insulin growth factor 1 (IGF-1), growth factor (GF) and triglycerides. Patients were then provided with a mixed meal to eat ad libitum with the aim to evaluate links between metabolic biomarkers and control of energy intake. RESULTS PD patients with CI had a significant lower protein intake (7.4 ± 2.5 g, p = 0.01) compared to controls (21.9 ± 3.1 g) and PD patients without CI (14.3 ± 3.0 g). Post-prandial plasma GLP-1 concentrations were associated with decreased hunger perception (B±SE, -5.3 ± 2.4 mm·h-1, p = 0.04). PYY concentrations were significantly associated with GLP-1 in fasting (r = 0.40, p = 0.005) and post-prandial (r = 0.46, p < 0.001) conditions. In a multivariate model, post-prandial PYY concentrations were a significant predictor of ad libitum energy intake in all subjects (B±SE, -87.5 ± 34.9 kcal, p = 0.01) and in patients with PD (B±SE, -106.8 ± 44.9 kcal, p = 0.04). CONCLUSIONS PYY and GLP-1 appeared to influence appetite control in PD patients and their roles merit further investigation.
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Affiliation(s)
- Mario Siervo
- Curtin School of Population Health, Faculty of Health Science, Curtin University, Perth, Western Australia, Australia; Dementia Centre of Excellence, EnAble Institute, Curtin University, Perth, Australia.
| | - Fionnuala Johnston
- Institute of Neuroscience, Newcastle University, Newcastle Upon Tyne, NE4 5PL, UK
| | - Emily Calton
- School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia; South Metropolitan Health Service, Harry Perkins Institute, Murdoch, Perth, Western Australia, Australia
| | - Anthony James
- Curtin School of Population Health, Faculty of Health Science, Curtin University, Perth, Western Australia, Australia
| | - Blossom C M Stephan
- Dementia Centre of Excellence, EnAble Institute, Curtin University, Perth, Australia
| | - Amanda K E Hornsby
- Institute of Life Sciences, School of Medicine, Singleton Park, Swansea University, Wales, UK
| | - Jeffrey S Davies
- Institute of Life Sciences, School of Medicine, Singleton Park, Swansea University, Wales, UK
| | - David Burn
- Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK
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Henderson EJ, Nodehi A, Graham F, Smith M, Lithander FE, Ben-Shlomo Y, Lawton M, Tenison E. Trajectory of change in body mass index in Parkinson's disease. Parkinsonism Relat Disord 2024; 130:107174. [PMID: 39520974 DOI: 10.1016/j.parkreldis.2024.107174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Revised: 10/12/2024] [Accepted: 10/13/2024] [Indexed: 11/16/2024]
Abstract
INTRODUCTION Gastrointestinal (GI) symptoms are some of the most common non-motor symptoms in Parkinson's. Weight is a nutritional metric and can be affected by dysfunction of the gastrointestinal (GI) tract. This study aims to explore the change in trajectory of body mass index (BMI) in individuals with Parkinson's over the course of the disease including the prodromal and post-diagnostic periods. METHODS This was a retrospective longitudinal study of data from participants from the PRIME Parkinson UK cross-sectional study. Participants were included if they had had one or more weights and height recorded in the primary care electronic health record. RESULTS 287 patients were initially included but only 234 could be included in the analysis of BMI trajectory. Using a piecewise linear mixed model, we determined that there was a 'change point' in BMI trajectory. This occurred on average 3.73 years after diagnosis, when the mean BMI was 26.4 kg/m2. Prior to this change point, the estimated mean rate of change in BMI was -0.09 kg/m2 (95 % credible interval -0.20,0.00 kg/m2) per year. However, after the change point, we observed a more accelerated decline in BMI, with an estimated mean rate of change of -0.34 kg/m2 (95 % credible interval -0.70,-0.07 kg/m2) per year. CONCLUSION There was a modest weight loss trajectory in the pre-diagnostic period consistent with clinically stable weight. However, after several years, post-diagnosis BMI loss became more marked. In clinical practice interventions could be targeted at this time point to optimize and maintain nutritional intake.
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Affiliation(s)
- Emily J Henderson
- Ageing and Movement Research Group, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1NU, United Kingdom; Older People's Unit, Royal United Hospitals Bath NHS Foundation Trust, Combe Park, Bath, BA1 3NG, United Kingdom.
| | - Anahita Nodehi
- Ageing and Movement Research Group, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1NU, United Kingdom.
| | - Finn Graham
- Ageing and Movement Research Group, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1NU, United Kingdom.
| | - Matthew Smith
- Ageing and Movement Research Group, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1NU, United Kingdom.
| | - Fiona E Lithander
- Liggins Institute, University of Auckland, 85 Park Road, Grafton, Auckland, 1023, New Zealand.
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, BS8 2PS, United Kingdom.
| | - Michael Lawton
- Population Health Sciences, Bristol Medical School, BS8 2PS, United Kingdom.
| | - Emma Tenison
- Ageing and Movement Research Group, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1NU, United Kingdom; Older People's Unit, Royal United Hospitals Bath NHS Foundation Trust, Combe Park, Bath, BA1 3NG, United Kingdom.
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Li Y, Liu Y, Du C, Wang J. Body mass index in patients with Parkinson's disease: a systematic review. J Neurophysiol 2024; 131:311-320. [PMID: 38264801 DOI: 10.1152/jn.00363.2023] [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: 10/02/2023] [Revised: 01/02/2024] [Accepted: 01/05/2024] [Indexed: 01/25/2024] Open
Abstract
Body mass index (BMI) has been found to have an impact on neurodegenerative diseases such as Parkinson's disease (PD). Several studies suggested that patients with PD have a lower BMI compared with controls. However, some studies indicated the differences between patients and controls as statistically insignificant. We performed this meta-analysis to clarify the relationship between BMI and PD based on the studies published from 1975 to April 2023 in the PubMed, Embase, and Cochrane Library databases. In total, 18 case-control studies met the inclusion criteria for meta-analysis. We found a statistically significant difference in mean BMI between patients with PD and healthy controls {standardized mean difference (SMD) [95% confidence interval (CI)] = -0.36 (-0.43, -0.29), P < 0.05}. Regarding sex, seven studies were included in the meta-analysis for female/male patients with PD. The mean BMI was significantly different between males with PD and healthy males [SMD (95% CI) = -0.34 (-0.47, -0.22), P < 0.05]. Moreover, the mean BMI of females with PD was significantly different from that of corresponding healthy females [SMD (95% CI) = -0.44 (-0.57, -0.30), P < 0.05]. The meta-analysis demonstrates a significantly lower BMI in patients with PD, but no gender differences, when compared with their respective healthy individuals.NEW & NOTEWORTHY The meta-analysis demonstrates a significantly lower body mass index in patients with PD, but no gender differences, when compared with their respective healthy individuals.
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Affiliation(s)
- Yinghui Li
- School of Basic Medicine, Qingdao University, Qingdao, People's Republic of China
- Institute of Brain Science and Disease, Shandong Provincial Key Laboratory of Pathogenesis and Prevention of Neurological Disorders, Qingdao University, Qingdao, People's Republic of China
| | - Yumei Liu
- Department of Neurology, Affiliated Hospital of Qingdao University, Qingdao, People's Republic of China
| | - Chuanning Du
- School of Basic Medicine, Qingdao University, Qingdao, People's Republic of China
- School of Clinical Medicine, Qingdao University, Qingdao, People's Republic of China
| | - Jun Wang
- School of Basic Medicine, Qingdao University, Qingdao, People's Republic of China
- Institute of Brain Science and Disease, Shandong Provincial Key Laboratory of Pathogenesis and Prevention of Neurological Disorders, Qingdao University, Qingdao, People's Republic of China
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Kurihara K, Fujioka S, Mishima T, Tsuboi Y. Impact of weight loss for depressive symptom in mid-stage patients with Parkinson's disease: a 4-year follow-up study. Front Neurol 2024; 14:1306138. [PMID: 38249744 PMCID: PMC10796778 DOI: 10.3389/fneur.2023.1306138] [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: 10/03/2023] [Accepted: 12/06/2023] [Indexed: 01/23/2024] Open
Abstract
Introduction Weight loss is one of the non-motor symptoms frequently seen in patients with Parkinson's disease (PwPD). Weight loss in PwPD is known to be negatively associated with motor and other non-motor symptoms and has been shown to influence the prognosis of PD. In this study, we followed weight change over a 4-year period in PwPD at a single institution and investigated the relationship between weight change and patients' motor and non-motor symptoms. Methods PwPD who visited our hospital from January 2018 to December 2022 were enrolled. Body weights were measured at two points in 2018 (at the start of observation, 'baseline') and 2022 (at the end of observation, 'end date'). In addition, motor symptoms, disease severity, cognitive function, and psychiatric symptoms were evaluated during the same period, and the relationship with weight loss was examined. Results Data of 96 PwPD were available for a 4-year follow-up. At baseline, the mean age was 65.7 ± 10.0 years, the mean disease duration was 6.8 ± 4.0 years, and the mean Hoehn and Yahr stage was 2.4 ± 0.7. Among them, 48 patients (50.0%) had a weight loss of ≥5% from baseline (weight loss group; mean loss was 6.6 ± 2.9 kg). The weight loss group was older (p = 0.031), had a lower Mini-Mental State Examination (MMSE) at baseline (p = 0.019), a significantly lower body mass index (p < 0.001), and a higher Zung Self-Rating Depression Scale (SDS) (p = 0.017) at the end date. There was a negative correlation (γ = -0.349, p < 0.001) between weight change and age, a positive correlation (γ = 0.308, p = 0.002) between weight change and MMSE at baseline, and a negative correlation (γ = -0.353, p < 0.001) between weight change and SDS at the end date. Age-adjusted correlations showed a final negative correlation (γ = -0.331, p = 0.001) between weight change and SDS. MMSE and age-adjusted correlations showed a low negative correlation (γ = -0.333, p = 0.001) between weight change and SDS at the end date. Conclusion Weight loss in PwPD in mid-stage was more likely with increasing age, and ≥ 5% weight loss was associated with worsening depression. Further research is needed regarding the significance of weight loss in PwPD.
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Affiliation(s)
| | | | | | - Yoshio Tsuboi
- Department of Neurology, Fukuoka University, Fukuoka, Japan
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Umemoto G, Fujioka S, Iwashita Y, Dotsu Y, Noda M, Tsuboi Y. Weight loss in Parkinson's disease: A retrospective comparison between oral medication and device-assisted therapies. Clin Neurol Neurosurg 2024; 236:108105. [PMID: 38194744 DOI: 10.1016/j.clineuro.2023.108105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 12/08/2023] [Accepted: 12/25/2023] [Indexed: 01/11/2024]
Abstract
OBJECTIVE Weight loss (WL) is the most common symptom among patients with Parkinson's disease (PD) and has been reported to start several years before the diagnosis of PD. The relationship between WL and PD treatment is complex. This study aimed to characterize the impact of PD treatment on WL and find clues to establish the administration of nutrition for patients with PD. MATERIALS AND METHODS Eighty-two patients with PD (mean age, 58.4 ± 10.2 years; mean Hoehn and Yahr stage, 3.2 ± 0.7) were recruited. Their treatments included deep brain stimulation (DBS) therapy (n = 34), levodopa/carbidopa intestinal gel (LCIG) therapy (n = 13), and oral medication alone (n = 35). Based on the medical records, the age of onset, disease duration, treatment options, videofluoroscopic dysphagia scale, blood test results, and weight change were collected. RESULTS The median WL per year and rate of WL were -1.0 ± 2.8 kg and -1.9 ± 4.7 %, respectively. Most patients (93 %) were classified into normal nutrition and mild malnutrition groups by their CONUT scores. The median WL of the DBS group was significantly lower than that of the oral medication alone group (p < 0.01). The rate of WL showed a significant negative correlation with the age of onset (rho = -0.328, p = 0.003), but showed a significant positive correlation with the disease duration (rho = 0.231, p = 0.04). CONCLUSION These results highlighted WL in the early stages of PD and suggested the need for adequate monitoring for patients undergoing device-aided therapy as well as oral medicine-treated patients with greater WL.
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Affiliation(s)
- George Umemoto
- Swallowing Disorders Center, Fukuoka University Hospital, Fukuoka, Japan; Department of Neurology, Neuro-Muscular Center, NHO Omuta National Hospital, Fukuoka, Japan.
| | - Shinsuke Fujioka
- Department of Neurology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Yuki Iwashita
- Swallowing Disorders Center, Fukuoka University Hospital, Fukuoka, Japan
| | - Yuriko Dotsu
- Swallowing Disorders Center, Fukuoka University Hospital, Fukuoka, Japan
| | - Masako Noda
- Department of Clinical Nutrition, Fukuoka University Hospital, Fukuoka, Japan
| | - Yoshio Tsuboi
- Department of Neurology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
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Yılmaz M, Atuk Kahraman T, Kurtbeyoğlu E, Konyalıgil Öztürk N, Gültekin M. The evaluation of the nutritional status in Parkinson's disease: geriatric nutritional risk index comparison with mini nutritional assessment questionnaire. Nutr Neurosci 2024; 27:66-73. [PMID: 36594568 DOI: 10.1080/1028415x.2022.2161129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
OBJECTIVE The symptoms associated with Parkinson's disease may lead to reduced food consumption and in turn, malnutrition. It is therefore important to apply a reliable nutrition screening tool to evaluate the nutritional status of individuals with Parkinson's disease. This cross-sectional study aims to compare the Mini Nutritional Assessment (MNA) questionnaire and the Geriatric Nutrition Risk Index (GNRI) in the assessment of the nutritional status of individuals with Parkinson's disease, and to evaluate the usability of the GNRI in cases of Parkinson's disease. METHODS The study was conducted with 89 individuals over the age of 60 who were diagnosed with Parkinson's disease. Study data were collected using a questionnaire form administered through face-to-face interviews, the MNA-Long Form (MNA-LF), and the GNRI was calculated. RESULTS The mean GNRI scores were significantly lower in the participants with malnutrition (106.5 ± 19.4) than in the participants at risk of malnutrition (121.0 ± 10.3) and the participants with no malnutrition (125.3 ± 9.6) according to the MNA-LF (p < 0.001). Although there was a positive correlation between the MNA-LF and the GNRI scores, this correlation was not significant (p = 0.095). CONCLUSIONS This is the first study to research the nutritional status of individuals with Parkinson's disease using the GNRI. The malnutrition rate detected by GNRI was found to be lower than MNA in Parkinson's patients receiving outpatient treatment. Similar studies are recommended to determine the usability of GNRI on inpatients.
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Affiliation(s)
- Müge Yılmaz
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Erciyes University, Kayseri, Turkey
| | - Tutku Atuk Kahraman
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Erciyes University, Kayseri, Turkey
| | - Emine Kurtbeyoğlu
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Erciyes University, Kayseri, Turkey
| | | | - Murat Gültekin
- Department of Neurology, Faculty of Medicine, Erciyes University, Kayseri, Turkey
- Gevher Nesibe Hospital, Faculty of Medicine, Erciyes University, Kayseri, Turkey
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Eisinger RS, Okun MS, Cernera S, Cagle J, Beke M, Ramirez-Zamora A, Kim BH, Barbosa DAN, Qiu L, Vaswani P, Aamodt WW, Halpern CH, Foote KD, Gunduz A, Almeida L. Weight and survival after deep brain stimulation for Parkinson's disease. Parkinsonism Relat Disord 2023; 115:105810. [PMID: 37660542 PMCID: PMC10664863 DOI: 10.1016/j.parkreldis.2023.105810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 08/05/2023] [Accepted: 08/13/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND Weight loss in Parkinson's disease (PD) is common and associated with increased mortality. The clinical significance of weight changes following deep brain stimulation (DBS) of the subthalamic nucleus (STN) and globus pallidus internus (GPi) is unclear. OBJECTIVES To address (1) whether PD patients exhibit progressive weight loss, (2) whether staged DBS surgery is associated with weight changes, and (3) whether survival after DBS correlates with post-DBS weight. METHODS This is a single-center, longitudinal, retrospective cohort study of 1625 PD patients. We examined trends in weight over time and the relationship between weight and years survival after DBS using regression and mixed model analyses. RESULTS There was a decline in body weight predating motor symptom onset (n = 756, 0.70 ± 0.03% decrease per year, p < 0.001). Weight decline accelerated in the decade preceding death (n = 456, 2.18 ± 0.31% decrease per year, p < 0.001). DBS patients showed a weight increase of 2.0 ± 0.33% at 1 year following the first DBS lead implant (n = 455) and 2.68 ± 1.1% at 3 years if a contralateral DBS lead was placed (n = 249). The bilateral STN DBS group gained the most weight after surgery during 6 years of follow up (vs bilateral GPi, 3.03 ± 0.45% vs 1.89 ± 0.31%, p < 0.01). An analysis of the DBS cohort with date of death available (n = 72) revealed that post-DBS weight (0-12 months after the first or 0-36 months after the second surgery) was positively associated with survival (R2 = 0.14, p < 0.001). DISCUSSION Though PD is associated with significant weight loss, DBS patients gained weight following surgery. Higher post-operative weight was associated with increased survival. These results should be replicated in other cohorts.
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Affiliation(s)
- Robert S Eisinger
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, USA; Department of Neurology, Hospital of the University of Pennsylvania, USA.
| | - Michael S Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, USA; Department of Neurosurgery, Norman Fixel Institute for Neurological Diseases, University of Florida, USA
| | - Stephanie Cernera
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, USA; Department of Neurosurgery, University of California, San Francisco, USA
| | - Jackson Cagle
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, USA
| | - Matthew Beke
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, USA; Food Science and Human Nutrition Department, University of Florida, USA
| | - Adolfo Ramirez-Zamora
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, USA
| | - B Hope Kim
- Department of Neurology, Hospital of the University of Pennsylvania, USA
| | - Daniel A N Barbosa
- Department of Neurosurgery, Hospital of the University of Pennsylvania, USA
| | - Liming Qiu
- Department of Neurosurgery, Hospital of the University of Pennsylvania, USA
| | - Pavan Vaswani
- Department of Neurology, Hospital of the University of Pennsylvania, USA
| | - Whitley W Aamodt
- Department of Neurology, Hospital of the University of Pennsylvania, USA
| | - Casey H Halpern
- Department of Neurosurgery, Hospital of the University of Pennsylvania, USA; Department of Surgery, Corporal Michael J. Crescenz Veterans Affairs Medical Center, PA, Philadelphia, USA
| | - Kelly D Foote
- Department of Neurosurgery, Norman Fixel Institute for Neurological Diseases, University of Florida, USA
| | - Aysegul Gunduz
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, USA; Department of Biomedical Engineering, University of Florida, USA
| | - Leonardo Almeida
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, USA; Department of Neurology, University of Minnesota, Minneapolis, MN, USA
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11
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Chaudhuri KR, Kovács N, Pontieri FE, Aldred J, Bourgeois P, Davis TL, Cubo E, Anca-Herschkovitsch M, Iansek R, Siddiqui MS, Simu M, Bergmann L, Ballina M, Kukreja P, Ladhani O, Jia J, Standaert DG. Levodopa Carbidopa Intestinal Gel in Advanced Parkinson's Disease: DUOGLOBE Final 3-Year Results. JOURNAL OF PARKINSON'S DISEASE 2023; 13:769-783. [PMID: 37302039 PMCID: PMC10473130 DOI: 10.3233/jpd-225105] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/14/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Levodopa-carbidopa intestinal gel (LCIG) improves motor and non-motor symptoms in patients with advanced Parkinson's disease (aPD). OBJECTIVE To present the final 36-month efficacy and safety results from DUOGLOBE (DUOdopa/Duopa in Patients with Advanced Parkinson's Disease - a GLobal OBservational Study Evaluating Long-Term Effectiveness; NCT02611713). METHODS DUOGLOBE was an international, prospective, long-term, real-world, observational study of patients with aPD initiating LCIG in routine clinical care. The primary endpoint was change in patient-reported "Off" time to Month 36. Safety was assessed by monitoring serious adverse events (SAEs). RESULTS Significant improvements in "Off" time were maintained over 3 years (mean [SD]: -3.3 hours [3.7]; p < 0.001). There were significant improvements to Month 36 in total scores of the Unified Dyskinesia Rating Scale (-5.9 [23.7]; p = 0.044), Non-Motor Symptoms Scale (-14.3 [40.5]; p = 0.002), Parkinson's Disease Sleep Scale-2 (-5.8 [12.9]; p < 0.001), and Epworth Sleepiness Scale (-1.8 [6.0]; p = 0.008). Health-related quality of life and caregiver burden significantly improved through Months 24 and 30, respectively (Month 24, 8-item Parkinson's Disease Questionnaire Summary Index, -6.0 [22.5]; p = 0.006; Month 30, Modified Caregiver Strain Index, -2.3 [7.6]; p = 0.026). Safety was consistent with the well-established LCIG profile (SAEs: 54.9% of patients; discontinuations: 54.4%; discontinuations due to an adverse event: 27.2%). Of 106 study discontinuations, 32 patients (30.2%) continued LCIG outside the study. CONCLUSION DUOGLOBE demonstrates real-world, long-term, reductions in motor and non-motor symptoms in patients with aPD treated with LCIG.
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Affiliation(s)
- K. Ray Chaudhuri
- Parkinson’s Foundation International Centre of Excellence, King’s College Hospital, and King’s College Institute of Psychiatry, Biomedical Research Centre, Psychology & Neuroscience, London, United Kingdom
| | - Norbert Kovács
- Department of Neurology, University of Pécs, Pécs, Hungary
| | - Francesco E. Pontieri
- Department of Neuroscience, Mental Health and Sensory Organs, Sapienza University of Rome, Rome, Italy
- Santa Lucia Foundation, IRCCS, Rome, Italy
| | | | | | - Thomas L. Davis
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Esther Cubo
- Neurology Department, Hospital Universitario Burgos, Burgos, Spain
| | | | - Robert Iansek
- Kingston Centre, Monash Health, Melbourne, Victoria, Australia
| | - Mustafa S. Siddiqui
- Department of Neurology, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Mihaela Simu
- Department of Neurology, Victor Babes Universityof Medicine and Pharmacy, Timisoara, Romania
| | | | | | | | | | - Jia Jia
- AbbVie Inc., North Chicago, IL, USA
| | - David G. Standaert
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
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12
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Oosterwegel MJ, Krijthe JH, den Brok MGHE, van den Heuvel L, Richard E, Heskes T, Bloem BR, Evers LJW. The effect of cardiovascular risk on disease progression in de novo Parkinson's disease patients: An observational analysis. Front Neurol 2023; 14:1138546. [PMID: 37122316 PMCID: PMC10130532 DOI: 10.3389/fneur.2023.1138546] [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: 01/05/2023] [Accepted: 03/20/2023] [Indexed: 05/02/2023] Open
Abstract
Background Currently available treatment options for Parkinson's disease are symptomatic and do not alter the course of the disease. Recent studies have raised the possibility that cardiovascular risk management may slow the progression of the disease. Objectives We estimated the effect of baseline cardiovascular risk factors on the progression of Parkinson's disease, using measures for PD-specific motor signs and cognitive functions. Methods We used data from 424 de novo Parkinson's disease patients and 199 age-matched controls from the observational, multicenter Parkinson's Progression Markers Initiative (PPMI) study, which included follow-up of up to 9 years. The primary outcome was the severity of PD-specific motor signs, assessed with the MDS-UPDRS part III in the "OFF"-state. The secondary outcome was cognitive function, measured with the Montreal Cognitive Assessment, Symbol Digit Modalities Test, and Letter-Number Sequencing task. Exposures of interest were diabetes mellitus, hypertension, body mass index, cardiovascular event history and hypercholesterolemia, and a modified Framingham risk score, measured at baseline. The effect of each of these exposures on disease progression was modeled using linear mixed models, including adjustment for identified confounders. A secondary analysis on the Tracking Parkinson's cohort including 1,841 patients was performed to validate our findings in an independent patient cohort. Results Mean age was 61.4 years, and the average follow-up was 5.5 years. We found no statistically significant effect of any individual cardiovascular risk factor on the MDS-UPDRS part III progression (all 95% confidence intervals (CIs) included zero), with one exception: in the PD group, the estimated effect of a one-point increase in body mass index was 0.059 points on the MDS-UPDRS part III per year (95% CI: 0.017 to 0.102). We found no evidence for an effect of any of the exposures on the rate of change in cognitive functioning in the PD group. Similar results were observed for the Tracking Parkinson's cohort (all 95% CIs overlapped with PPMI), but the 95% CI of the effect of body mass index on the MDS-UPDRS part III progression included zero. Conclusions Based on this analysis of two large cohorts of de novo PD patients, we found no evidence to support clinically relevant effects of cardiovascular risk factors on the clinical progression of Parkinson's disease.
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Affiliation(s)
- Max J. Oosterwegel
- Center of Expertise for Parkinson and Movement Disorders, Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
- Department of Data Science, Institute for Computing and Information Sciences, Radboud University, Nijmegen, Netherlands
- *Correspondence: Max J. Oosterwegel
| | - Jesse H. Krijthe
- Department of Intelligent Systems, Delft University of Technology, Delft, Netherlands
| | - Melina G. H. E. den Brok
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
- Department of Neurology, Amsterdam University Medical Center, Location AMC, Amsterdam, Netherlands
| | - Lieneke van den Heuvel
- Center of Expertise for Parkinson and Movement Disorders, Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | - Edo Richard
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
- Department of Neurology, Amsterdam University Medical Center, Location AMC, Amsterdam, Netherlands
| | - Tom Heskes
- Department of Data Science, Institute for Computing and Information Sciences, Radboud University, Nijmegen, Netherlands
| | - Bastiaan R. Bloem
- Center of Expertise for Parkinson and Movement Disorders, Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | - Luc J. W. Evers
- Center of Expertise for Parkinson and Movement Disorders, Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
- Department of Data Science, Institute for Computing and Information Sciences, Radboud University, Nijmegen, Netherlands
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13
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Amato A, Baldassano S, Vasto S, Schirò G, Davì C, Drid P, Dos Santos Mendes FA, Caldarella R, D’Amelio M, Proia P. Effects of a Resistance Training Protocol on Physical Performance, Body Composition, Bone Metabolism, and Systemic Homeostasis in Patients Diagnosed with Parkinson's Disease: A Pilot Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192013022. [PMID: 36293598 PMCID: PMC9602560 DOI: 10.3390/ijerph192013022] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/08/2022] [Accepted: 10/09/2022] [Indexed: 05/14/2023]
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor impairments and it is correlated with loss of bone mineral density. This study aimed to analyze the effects of resistance training on bone metabolism, systemic homeostasis, body composition, and physical performance in people with PD. Thirteen subjects (age 64.83 ± 5.70) with PD diagnosis were recruited. Participants performed neuromuscular tests, body composition assessment, and blood sample analysis at baseline, and after an 11 weeks-training period. Each training session lasted 90 min, three times a week. The participants had significant improvements in the timed up and go (p < 0.01), sit to stand (p < 0.01), dominant peg-board (p < 0.05), dominant foot-reaction time (p < 0.01), and functional reach tests (p < 0.05). They showed better pressure foot distributions in the left forefoot (p < 0.05) and hindfoot (p < 0.05) and increased cervical right lateral bending angle (p < 0.05). The protocol affects bone metabolism markers osteocalcin (p < 0.05), calcium (p < 0.01), PTH (p < 0.01), the C-terminal telopeptide (CTX) (p < 0.01), and vitamin D (p < 0.05). Eleven weeks of resistance training improved manual dexterity, static and dynamic balance, reaction time, cervical ROM, and reduced bone loss in people with PD.
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Affiliation(s)
- Alessandra Amato
- Sport and Exercise Sciences Research Unit, Department of Psychological, Pedagogical and Educational Sciences, University of Palermo, 90128 Palermo, Italy
| | - Sara Baldassano
- Department of Biological Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, 90128 Palermo, Italy
- Correspondence: (S.B.); (P.P.)
| | - Sonya Vasto
- Department of Biological Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, 90128 Palermo, Italy
| | - Giuseppe Schirò
- Department of Biomedicine, Neurosciences and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90127 Palermo, Italy
| | - Chiara Davì
- Department of Biomedicine, Neurosciences and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90127 Palermo, Italy
| | - Patrik Drid
- Faculty of Sport and Physical Education, University of Novi Sad, 21000 Novi Sad, Serbia
| | | | - Rosalia Caldarella
- Department of Laboratory Medicine, “P. Giaccone” University Hospital, 90127 Palermo, Italy
| | - Marco D’Amelio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90127 Palermo, Italy
| | - Patrizia Proia
- Sport and Exercise Sciences Research Unit, Department of Psychological, Pedagogical and Educational Sciences, University of Palermo, 90128 Palermo, Italy
- Correspondence: (S.B.); (P.P.)
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14
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Yoon SY, Heo SJ, Lee HJ, Shin J, Kim YW, Yang SN, Park YG. Initial BMI and Weight Loss Over Time Predict Mortality in Parkinson Disease. J Am Med Dir Assoc 2022; 23:1719.e1-1719.e7. [PMID: 36007544 DOI: 10.1016/j.jamda.2022.07.015] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 07/14/2022] [Accepted: 07/14/2022] [Indexed: 10/15/2022]
Abstract
OBJECTIVES Although weight loss is a frequent symptom in Parkinson disease (PD), there have been few studies on the association between body mass index (BMI) and mortality. The objective of this study was to investigate the association between BMI and change in BMI at diagnosis in patients with PD and all-cause mortality. DESIGN Cohort study using Korean National Health Insurance Service-Elderly Cohort data. SETTING AND PARTICIPANTS Patients with new-onset PD were selected using the International Classification of Diseases 10th edition code (G20). Then, patients who were diagnosed more than 3 times with PD and had been prescribed anti-parkinsonian medication for ≥30 days were included. Those with a combined diagnosis of atypical parkinsonism and secondary parkinsonism were excluded. METHODS The primary outcome was all-cause mortality. Anthropometric data, including height and weight, were obtained from the health screening data to calculate BMI. The Cox proportional hazards model was used to assess mortality risk by BMI. RESULTS Among the 2703 patients with PD, 492 (18.20%) died during the 11-year follow-up period. There was a significant inverse dose-response relationship between baseline BMI and mortality (<18.5 kg/m2: hazard ratio [HR], 1.872, 95% CI, 1.338-2.494; 23-25 kg/m2: HR, 0.695, 95% CI, 0.546-0.886; 25-30 kg/m2: HR, 0.644, 95% CI, 0.476-0.869; ≥30 kg/m2: HR, 0.396, 95% CI, 0.165-0.950). Change in BMI of 10% revealed a significant association with mortality. Subgroup analyses by sex showed a significant inverse dose-response relationship between BMI and all-cause mortality only in women. CONCLUSIONS AND IMPLICATIONS We demonstrated an inverse dose-response association between BMI at diagnosis and mortality in patients with PD, especially in women. Early detection of PD before weight loss progression and proper management might improve mortality. The small number of obese PD participants in our study should be considered when interpreting and generalizing results.
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Affiliation(s)
- Seo Yeon Yoon
- Department of Physical Medicine and Rehabilitation, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Seok-Jae Heo
- Department of Biostatistics and Computing, Yonsei University Graduate School, Seoul, Republic of Korea
| | - Hyo Jeong Lee
- Department of Rehabilitation Medicine, Bundang Jesaeng General Hospital, Gyeonggi-do, Republic of Korea
| | - Jaeyong Shin
- Department of Preventive Medicine and Public Health, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yong Wook Kim
- Department and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seung Nam Yang
- Department of Physical Medicine and Rehabilitation, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Yoon Ghil Park
- Department of Rehabilitation Medicine and Rehabilitation Institute of Neuromuscular Disease, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
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15
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Parkinson's Disease and Sugar Intake-Reasons for and Consequences of a Still Unclear Craving. Nutrients 2022; 14:nu14153240. [PMID: 35956417 PMCID: PMC9370710 DOI: 10.3390/nu14153240] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 08/01/2022] [Accepted: 08/03/2022] [Indexed: 11/28/2022] Open
Abstract
Lately, studies have shown that patients with Parkinson’s disease (PD) report a strong craving for sweets and consume significantly more fast-acting carbohydrates than healthy controls. Consuming food with a high-sugar content is assumed to lead to an increase in insulin concentration, which could positively influence dopamine concentration in the brain and unconsciously be used by patients as kind of “self-medication” to compensate for a lack of dopamine in PD. On the other hand, high-sugar intake could also lead to insulin resistance and diabetes, which is discussed as a causative factor for progressive neurodegeneration in PD. In this critical appraisal, we discuss the role of sugar intake and insulin on dopamine metabolism in patients with PD and how this could influence the potential neurodegeneration mediated by insulin resistance.
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16
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Zou Y, Pei J, Wang Y, Chen Q, Sun M, Kang L, Zhang X, Zhang L, Gao X, Lin Z. The Deficiency of SCARB2/LIMP-2 Impairs Metabolism via Disrupted mTORC1-Dependent Mitochondrial OXPHOS. Int J Mol Sci 2022; 23:ijms23158634. [PMID: 35955761 PMCID: PMC9368982 DOI: 10.3390/ijms23158634] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/02/2022] [Accepted: 08/02/2022] [Indexed: 02/05/2023] Open
Abstract
Deficiency in scavenger receptor class B, member 2 (SCARB2) is related to both Gaucher disease (GD) and Parkinson’s disease (PD), which are both neurodegenerative-related diseases without cure. Although both diseases lead to weight loss, which affects the quality of life and the progress of diseases, the underlying molecular mechanism is still unclear. In this study, we found that Scarb2−/− mice showed significantly reduced lipid storage in white fat tissues (WAT) compared to WT mice on a regular chow diet. However, the phenotype is independent of heat production, activity, food intake or energy absorption. Furthermore, adipocyte differentiation and cholesterol homeostasis were unaffected. We found that the impaired lipid accumulation of Adiponectin-cre; Scarb2fl/fl mice was due to the imbalance between glycolysis and oxidative phosphorylation (OXPHOS). Mechanistically, the mechanistic target of rapamycin complex 1 (mTORC1)/ eukaryotic translation initiation factor 4E binding protein 1 (4E-BP1) pathway was down-regulated in Scarb2 deficient adipocytes, leading to impaired mitochondrial respiration and enhanced glycolysis. Altogether, we reveal the role of SCARB2 in metabolism regulation besides the nervous system, which provides a theoretical basis for weight loss treatment of patients with neurodegenerative diseases.
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Affiliation(s)
- Yujie Zou
- Ministry of Education Key Laboratory of Model Animal for Disease Study, State Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Key Laboratory of Molecular Medicine, Model Animal Research Center, Medical School, Nanjing University, 12 Xuefu Road, Pukou Area, Nanjing 210061, China; (Y.Z.); (J.P.); (Y.W.); (M.S.); (L.K.)
| | - Jingwen Pei
- Ministry of Education Key Laboratory of Model Animal for Disease Study, State Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Key Laboratory of Molecular Medicine, Model Animal Research Center, Medical School, Nanjing University, 12 Xuefu Road, Pukou Area, Nanjing 210061, China; (Y.Z.); (J.P.); (Y.W.); (M.S.); (L.K.)
| | - Yushu Wang
- Ministry of Education Key Laboratory of Model Animal for Disease Study, State Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Key Laboratory of Molecular Medicine, Model Animal Research Center, Medical School, Nanjing University, 12 Xuefu Road, Pukou Area, Nanjing 210061, China; (Y.Z.); (J.P.); (Y.W.); (M.S.); (L.K.)
| | - Qin Chen
- Department of Oral Surgery, Shanghai Jiao Tong University, 639 Zhizaoju Road, Huangpu District, Shanghai 200240, China;
| | - Minli Sun
- Ministry of Education Key Laboratory of Model Animal for Disease Study, State Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Key Laboratory of Molecular Medicine, Model Animal Research Center, Medical School, Nanjing University, 12 Xuefu Road, Pukou Area, Nanjing 210061, China; (Y.Z.); (J.P.); (Y.W.); (M.S.); (L.K.)
| | - Lulu Kang
- Ministry of Education Key Laboratory of Model Animal for Disease Study, State Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Key Laboratory of Molecular Medicine, Model Animal Research Center, Medical School, Nanjing University, 12 Xuefu Road, Pukou Area, Nanjing 210061, China; (Y.Z.); (J.P.); (Y.W.); (M.S.); (L.K.)
| | - Xuyuan Zhang
- The Center of Infection and Immunity, The Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District, Beijing 100101, China; (X.Z.); (L.Z.)
| | - Liguo Zhang
- The Center of Infection and Immunity, The Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Chaoyang District, Beijing 100101, China; (X.Z.); (L.Z.)
| | - Xiang Gao
- Ministry of Education Key Laboratory of Model Animal for Disease Study, State Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Key Laboratory of Molecular Medicine, Model Animal Research Center, Medical School, Nanjing University, 12 Xuefu Road, Pukou Area, Nanjing 210061, China; (Y.Z.); (J.P.); (Y.W.); (M.S.); (L.K.)
- Correspondence: (X.G.); (Z.L.)
| | - Zhaoyu Lin
- Ministry of Education Key Laboratory of Model Animal for Disease Study, State Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Key Laboratory of Molecular Medicine, Model Animal Research Center, Medical School, Nanjing University, 12 Xuefu Road, Pukou Area, Nanjing 210061, China; (Y.Z.); (J.P.); (Y.W.); (M.S.); (L.K.)
- Correspondence: (X.G.); (Z.L.)
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17
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Talman LS, Pfeiffer RF. Movement Disorders and the Gut: A Review. Mov Disord Clin Pract 2022; 9:418-428. [PMID: 35586541 PMCID: PMC9092751 DOI: 10.1002/mdc3.13407] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 12/20/2021] [Accepted: 12/21/2021] [Indexed: 11/07/2022] Open
Abstract
There is a close link between multiple movement disorders and gastrointestinal dysfunction. Gastrointestinal symptoms may precede the development of the neurologic syndrome or may arise following the neurologic presentation. This review will provide an overview of gastrointestinal accompaniments to several well-known as well as lesser known movement disorders. It will also highlight several disorders which may not be considered primary movement disorders but have an overlapping presentation of both gastrointestinal and movement abnormalities.
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Affiliation(s)
- Lauren S. Talman
- Department of NeurologyOregon Health & Science UniversityPortlandOregonUSA
| | - Ronald F. Pfeiffer
- Department of NeurologyOregon Health & Science UniversityPortlandOregonUSA
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18
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Elpidoforou M, Bakalidou D, Drakopoulou M, Kavga A, Chrysovitsanou C, Stefanis L. Effects of a structured dance program in Parkinson's disease. A Greek pilot study. Complement Ther Clin Pract 2021; 46:101528. [PMID: 34974325 DOI: 10.1016/j.ctcp.2021.101528] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 11/24/2021] [Accepted: 12/27/2021] [Indexed: 01/04/2023]
Abstract
INTRODUCTION Dance for Parkinson's Disease® (DfPD®) is a structured dance program that has never been evaluated in Greek PD population. This study assesses for the first time the efficacy, safety and feasibility of DfPD® program in Greek PD patients. MATERIAL AND METHODS A total of 16 early-to-mid-stage PD patients (50% men, aged 56 ± 12) underwent a total of 16 60-min classes of adjusted to Greek music and dance culture DfPD®, twice weekly, over 8 weeks. Assessments were performed at baseline and at the end of the study period and included quality of life (PDQ-8), depressive symptoms (BDI-II), fatigue (PFS-16), cognitive functions (MoCA), balance (BBS) and body mass index (BMI). Safety (possible falls, injuries, muscle soreness or excessive fatigue) and feasibility (technical and financial parameters, willingness for participation and continuation, recruitment rates) were also assessed. RESULTS Statistically significant improvements were found in quality of life (29 ± 47%, p = 0,020), depressive symptoms (26 ± 52%, p = 0,046), fatigue (13 ± 20%, p = 0,021), cognitive functions (17 ± 23%, p = 0,010), balance (5 ± 4%, p = 0,003) and BMI (2 ± 2%, p = 0,010). No adverse events, high adherence (93,75%) and low attrition (12,5%) rates were reported. CONCLUSION A twice weekly 60-min DfPD® class for 8 weeks is a safe and feasible non-pharmacological complementary therapeutic intervention for Greek PD patients and may improve their quality of life, depressive symptoms, fatigue, cognitive functions, balance, and BMI. Further research on this intervention is warranted.
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Affiliation(s)
- Michail Elpidoforou
- Laboratory of Neuromuscular and Cardiovascular Study of Motion - LANECASM, Department of Physiotherapy, University of West Attica, Athens, Greece.
| | - Daphne Bakalidou
- Laboratory of Neuromuscular and Cardiovascular Study of Motion - LANECASM, Department of Physiotherapy, University of West Attica, Athens, Greece; Department of Physiotherapy, University of West Attica, Athens, Greece
| | - Maria Drakopoulou
- Department of Nursing, Community Nursing and Public Health Nursing Sector, University of West Attica, Athens, Greece
| | - Anna Kavga
- Department of Nursing, Community Nursing and Public Health Nursing Sector, University of West Attica, Athens, Greece
| | - Chrysa Chrysovitsanou
- 1st Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Leonidas Stefanis
- 1st Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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Rivadeneyra J, Verhagen O, Bartulos M, Mariscal‐Pérez N, Collazo C, Garcia‐Bustillo A, Calvo S, Cubo E. The Impact of Dietary Intake and Physical Activity on Body Composition in Parkinson's Disease. Mov Disord Clin Pract 2021; 8:896-903. [PMID: 34405097 PMCID: PMC8354079 DOI: 10.1002/mdc3.13263] [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: 03/19/2021] [Revised: 04/26/2021] [Accepted: 05/05/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Skeletal muscle loss has been associated with declining physical performance and a negative prognostic effect on falls, disability, and mortality risk in Parkinson's disease. OBJECTIVES We aimed to analyze the clinical correlates associated with skeletal muscle wasting in Parkinson's disease. METHODS This was a cross-sectional, case-control, observational study. We collected information on dietary intake with a 24-hour recall questionnaire, body composition with bioelectrical impedance, motor severity with the Unified Parkinson's disease Rating Scale, and physical activity with the Global Physical Activity Questionnaire. We used multivariate linear regression analysis to analyze the sociodemographic and clinical correlates associated with skeletal muscle loss after adjusting for confounding variables. RESULTS Forty-three patients with Parkinson's disease and 21 matched family members were included. Patients and family members had similar body composition, anthropometrics, and nutritional parameters. Advanced patients had similar nutrient intakes compared to patients with mild-to-moderate Parkinson's disease. In the multivariate linear regression analysis, female patients with low physical activity and low energy intake were more likely to have skeletal muscle loss. CONCLUSIONS Skeletal muscle wasting is a complex multifactorial problem. Dietary strategies and physical exercise should be recommended, especially to females with Parkinson's disease, to prevent significant skeletal muscle wasting.
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Affiliation(s)
| | | | - Monica Bartulos
- Neurology DepartmentHospital Universitario BurgosBurgosSpain
| | | | - Carla Collazo
- Research UnitHospital Universitario BurgosBurgosSpain
| | | | - Sara Calvo
- Research UnitHospital Universitario BurgosBurgosSpain
| | - Esther Cubo
- Neurology DepartmentHospital Universitario BurgosBurgosSpain
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Song S, Luo Z, Li C, Huang X, Shiroma EJ, Simonsick EM, Chen H. Changes in Body Composition Before and After Parkinson's Disease Diagnosis. Mov Disord 2021; 36:1617-1623. [PMID: 33615545 PMCID: PMC10775470 DOI: 10.1002/mds.28536] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 01/24/2021] [Accepted: 01/27/2021] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Weight loss is common in Parkinson's disease (PD). However, little is known about when it starts, how PD changes as it progresses, and whether there is a differential loss of lean or fat mass. The objective of this study was to examine how body composition changes before and after PD diagnosis. METHODS In the Health, Aging, and Body Composition study (n = 3075; age range, 70-79 years), body composition was assessed using dual-energy x-ray absorptiometry on an annual or biennial basis from year 1 to year 10. For each PD case each year, we calculated the difference between their actual body composition measures and expected values had they not developed PD. Using linear mixed models with crossed random effects, we further examined the trend of change in body composition measures before and after PD diagnosis. RESULTS A total of 80 PD cases were identified in this cohort. Compared with their expected values, PD cases began to lose total and fat mass about 6-7 years before diagnosis, although the differences were not statistically significant until 3-5 years after diagnosis. The loss was substantial and persistent, with statistically significant trends of loss for total body mass (P = 0.008), fat mass (P = 0.001), and percentage fat (P < 0.001). In comparison, lean mass was stable throughout the follow-up (P = 0.16). Overall, 96% of the body mass loss in PD cases was from the loss of fat mass. CONCLUSIONS In this longitudinal analysis with objective measures of body composition, we found persistent weight loss in PD cases, predominantly in fat mass, starting a few years before diagnosis. © 2021 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Shengfang Song
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, Michigan, USA
| | - Zhehui Luo
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, Michigan, USA
| | - Chenxi Li
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, Michigan, USA
| | - Xuemei Huang
- Department of Neurology, Hersey Medical Center, Pennsylvania State University, Hersey, Pennsylvania, USA
| | - Eric J. Shiroma
- Laboratory of Epidemiology and Population Science, Intramural Research Program of the National Institutes of Health, National Institute on Aging, Bethesda, Maryland, USA
| | - Eleanor M. Simonsick
- Laboratory of Epidemiology and Population Science, Intramural Research Program of the National Institutes of Health, National Institute on Aging, Bethesda, Maryland, USA
| | - Honglei Chen
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, Michigan, USA
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21
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Fernández-Rodríguez B, Dupouy J, Harroch E, Fabre-Delcros MH, Barthélémy C, Loubière P, Barange K, Brefel-Courbon C, Rascol O, Ory-Magne F. Body mass index variations in patients with Parkinson's disease treated with levodopa-carbidopa intestinal gel infusion: A case control study versus standard of care and subthalamic nucleus deep brain stimulation. Rev Neurol (Paris) 2021; 177:919-923. [PMID: 34154827 DOI: 10.1016/j.neurol.2020.11.017] [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: 07/16/2020] [Revised: 10/15/2020] [Accepted: 11/27/2020] [Indexed: 10/21/2022]
Abstract
BACKGROUND Levodopa-carbidopa intestinal gel (LCIG) is an advanced therapy for patients with Parkinson Disease (PD). Weight loss has been pointed out as an adverse event of LCIG infusion. AIMS OF THE STUDY To compare weight changes between three groups of PD patients: patients treated with LCIG, patients within the first year of subthalamic deep brain stimulation (STN-DBS) and patients treated exclusively with oral treatment during 1 year of follow up. METHODS Patients treated with LCIG were retrospectively matched by age, gender, disease duration and Hoehn and Yahr to patients undergoing STN-DBS and to patients both receiving the standard of care treatment and unwilling advanced therapies (SOC). Clinical features and weight were collected at baseline, and 12 months after introducing the treatment (LCIG and STN-DBS groups) or for one year of treatment (SOC). RESULTS Eighteen patients were included in each group. They had no differences in clinical and demographic features, except for cognitive impairment. There was a mean weight (-5.8kg ±6.8) and BMI (-2.1kg/m2±2.6) reduction in the LCIG group after 12 months, while there was a slight weight loss in the SOC (-1.4kg ±3.1) and a weight increase in the STN-DBS group (5.4kg ±4.7). Differences of weight were statistically different between, LCIG and STN-DBS (P<0.001), LCIG and SOC (P=0.002) and STN-DBS and SOC (P<0.001). CONCLUSIONS The study shows a significant weight reduction after starting LCIG infusion compared to the other groups. Weight loss should be closely monitored in patients treated with LCIG.
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Affiliation(s)
| | - J Dupouy
- Service de Neurologie, centre Hospitalier Universitaire, Toulouse, France
| | - E Harroch
- Service de Neurologie, centre Hospitalier Universitaire, Toulouse, France
| | - M-H Fabre-Delcros
- Service de Neurologie, centre Hospitalier Universitaire, Toulouse, France
| | - C Barthélémy
- Service de Neurologie, centre Hospitalier Universitaire, Toulouse, France
| | - P Loubière
- Service de Neurologie, centre Hospitalier Universitaire, Toulouse, France
| | - K Barange
- Service de Gastroentérologie centre Hospitalier Universitaire Toulouse, France
| | - C Brefel-Courbon
- Service de Neurologie, centre Hospitalier Universitaire, Toulouse, France; NS-Park/FCRIN network, Inserm UMR1214, ToNIC (Toulouse NeuroImaging Center), Université Paul Sabatier, Toulouse, France
| | - O Rascol
- Service de Neurologie, centre Hospitalier Universitaire, Toulouse, France; NS-Park/FCRIN network, Inserm UMR1214, ToNIC (Toulouse NeuroImaging Center), Université Paul Sabatier, Toulouse, France; Service de Pharmacologie Clinique, Centre de Pharmacovigilance, Pharmacoépidemiologie and Informations sur le médicament, CIC Inserm 1436, NeuroToul Centre of Excellence in Neurodegeneration, Université de Toulouse, CHU de Toulouse, France
| | - F Ory-Magne
- Service de Neurologie, centre Hospitalier Universitaire, Toulouse, France; NS-Park/FCRIN network, Inserm UMR1214, ToNIC (Toulouse NeuroImaging Center), Université Paul Sabatier, Toulouse, France.
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22
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Nutritional status and activities of daily living in patients with Parkinson's disease. PLoS One 2021; 16:e0246329. [PMID: 33529255 PMCID: PMC7853475 DOI: 10.1371/journal.pone.0246329] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Accepted: 01/18/2021] [Indexed: 12/26/2022] Open
Abstract
Patients with Parkinson's disease are often frail and likely to be malnourished. Several studies have reported the adverse effects of malnutrition on functional outcomes; however, the association between nutritional status and activities of daily living is unclear among patients with Parkinson's disease. This study aimed to investigate the relationship between nutritional status and activities of daily living in patients with Parkinson's disease. We conducted a retrospective cohort study with the data of 124 patients who were consecutively admitted to a rehabilitation hospital in Japan, among whom the data of 61 patients were included in the analyses. The Controlling Nutritional Status score was used to measure the nutritional status of the participants, and the motor subdomain of the Functional Independence Measure was used to assess the activities of daily living. Piecewise linear mixed-effects models were fitted to the data after adjusting for confounding factors. A poor nutritional status (i.e., Controlling Nutritional Status score >3) was significantly associated with a poor Functional Independence Measure gain, which was defined as difference in the score values of the Functional Independence Measures between discharge and admission. Our findings could aid in developing nutritional intervention programs for patients with Parkinson's disease by employing the Controlling Nutritional Status score to improve their activities of daily living.
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Ghourchian S, Gruber-Baldini AL, Shakya S, Herndon J, Reich SG, von Coelln R, Savitt JM, Shulman LM. Weight loss and weight gain in Parkinson disease. Parkinsonism Relat Disord 2021; 83:31-36. [PMID: 33465545 DOI: 10.1016/j.parkreldis.2020.12.018] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 12/01/2020] [Accepted: 12/25/2020] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Parkinson disease (PD) has been associated with both weight loss and gain in different stages of the disease. Our study aimed to determine the prevalence and associations with weight change over two years based on 3% and 5% weight change. METHODS In this longitudinal analysis, weight at baseline and follow-up was used to classify patients into groups of weight loss, stable, and weight gain. Differences between these groups at baseline and then with change over time were tested. RESULTS The sample was 668 patients with mean(SD) age 66.1(10) and disease duration 5.3(5.4) years. Using 3% weight change criteria: 32.6% lost, 23.1% gained, and 55.7% had stable weight. Using 5% criteria: 22.6% lost, 15.7% gained, and 61.7% had stable weight. Age was associated with both 3% and 5% change in weight. Other associations with 5% weight change were disease duration, Total and Motor Unified Parkinson's Disease Rating Scale, Older Americans Resource and Services disability, and Hoehn & Yahr staging. The effects of 3% weight loss on Motor UPDRS, IADLs, and depression, and the effects of 5% weight loss on IADLs remained statistically significant when controlling for baseline differences in age, levodopa use, and Total UPDRS. CONCLUSION PD patients are more likely to experience 3% than 5% weight change and this lower threshold of weight change was associated with greater disease severity and disability over time. Attention to more subtle weight change may help identify those at greater risk of disability.
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Affiliation(s)
- Shadi Ghourchian
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ann L Gruber-Baldini
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Sunita Shakya
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - John Herndon
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Stephen G Reich
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Rainer von Coelln
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Joseph M Savitt
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Lisa M Shulman
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.
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Yang T, Zhan Z, Zhang L, Zhu J, Liu Y, Zhang L, Ge J, Zhao Y, Zhang L, Dong J. Prevalence and Risk Factors for Malnutrition in Patients With Parkinson's Disease. Front Neurol 2020; 11:533731. [PMID: 33362679 PMCID: PMC7758281 DOI: 10.3389/fneur.2020.533731] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 11/19/2020] [Indexed: 12/13/2022] Open
Abstract
Objectives: This study aimed to investigate the relationship between nutritional status and Parkinson's disease (PD) features. Methods: The cohort was composed of 556 Parkinson's patients who were admitted to the hospital. Patients were categorized as normal nutrition or at risk of malnutrition/already malnourished. Questionnaires, physical examinations, and biochemical tests were conducted. The relationship between nutrition status and PD was analyzed using t-tests, χ2-tests, and logistic regression models. Results: The prevalence of malnutrition [defined as a Mini Nutritional Assessment (MNA) score <17] was 39.2%, and 30.3% of patients were at risk of malnutrition (17 ≤ MNA score ≤ 23.5). There was no difference in gender and age between the different nutrition groups (P < 0.05). Patients at risk of malnutrition and those who were malnourished had a longer course of disease, more severe motor symptoms, a higher stage of PD according to the Hoehn and Yahr (H-Y) classification, a lower body mass index (BMI) index, a lower cognitive score, higher levels of depression and anxiety, and more serious non-motor symptoms (P < 0.05) than patients with normal nutrition. There were differences in adenosine deaminase, albumin, phosphorus, chlorine, total protein, and uric acid between the two groups (P < 0.05). High Unified PD Rating Scale (UPDRS-III) scores, high H-Y stages, and dyskinesia were risk factors for malnutrition in PD patients, while high levels of total protein, uric acid, and chlorine were protective factors that led to good nutrition (P < 0.05). Conclusions: Our results showed that dyskinesia, disease severity, total protein levels, uric acid levels, and chlorine levels were associated with nutritional status among Chinese PD patients. The findings of this study indicate the significance of the early detection and prevention of malnutrition to improve the quality of life of PD patients.
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Affiliation(s)
- Tianting Yang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Zhen Zhan
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Liang Zhang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Jun Zhu
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yi Liu
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Lili Zhang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Jianchao Ge
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Ying Zhao
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Li Zhang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Jingde Dong
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
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25
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Wu Q, Yu M, Fu J, Liu M. Prevalence, risk factors, and clinical correlations of underweight in Chinese newly diagnosed and drug-naïve patients with Parkinson's disease. Neurol Sci 2020; 42:1097-1102. [PMID: 33123924 DOI: 10.1007/s10072-020-04861-0] [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: 04/25/2019] [Accepted: 10/26/2020] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Studies have shown that patients with Parkinson's disease (PD) will experience weight loss during the progression of the illness, which suggests an increased rate of underweight. However, few studies have addressed underweight in early de novo population. This study aimed to examine the prevalence, risk factors, and clinical correlations of underweight in Chinese newly diagnosed and drug-naïve patients with PD. METHODS A total of 245 inpatients with newly diagnosed PD and 213 age-, sex-, and education-matched healthy controls were enrolled in Ningbo. BMI, demographics, supine and upright blood pressure, Montreal Cognitive Assessment (MoCA), Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD) together with fasting blood glucose, low-density lipoprotein, total cholesterol, uric acid (UA), and homocysteine were collected in all subjects. Hoehn and Yahr (HY) rating and Unified Parkinson's Disease Rating Scale (UPDRS) motor scores were also measured in patients. RESULTS Overall, 35 (14.3%) patients were underweight and 14 (6.6%) controls were underweight. Binary regression analyses showed that low MoCA (p = 0.035), ΔSBP and ΔDBP values (both p < 0.001) were risk factors for underweight. Furthermore, correlation analysis indicated that BMI was associated with HY grade, UPDRS motor, HAMA, HAMD, MoCA, ΔSBP, ΔDBP, and UA values, stepwise multiple regression revealed significant correlations between BMI and ΔSBP (p < 0.001), ΔDBP (p = 0.001), MoCA (p = 0.002), UPDRS motor (p = 0.005), and HAMD scores (p = 0.014). CONCLUSIONS Our study showed that the prevalence of underweight was significantly higher in Chinese newly diagnosed and drug-naïve patients with PD than in the healthy population, and several clinical variables were risk factors for underweight.
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Affiliation(s)
- Qing Wu
- Department of Neurology, Ningbo First Hospital, Ningbo, Zhejiang, China
| | - Ming Yu
- Department of Neurology, Ningbo First Hospital, Ningbo, Zhejiang, China
| | - Jianfei Fu
- Department of Medical record, Ningbo First Hospital, Ningbo, Zhejiang, China
| | - Meizhen Liu
- Department of Neurology, Ningbo Municipal Hospital of TCM, 819 LiYuan North Road, Haishu District, Ningbo, Zhejiang, 315000, China.
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Del Chierico F, Grassini P, Quagliariello A, Torti M, Russo A, Reddel S, Stocchi F. The impact of intestinal microbiota on weight loss in Parkinson's disease patients: a pilot study. Future Microbiol 2020; 15:1393-1404. [PMID: 33085540 DOI: 10.2217/fmb-2019-0336] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Background: There is increasing evidence of the association between microbiome dysfunction and Parkinson's disease (PD). Moreover, some PD patients suffer from unintentional weight loss (WL) which may precede the motor manifestations of the disease. Materials & methods: Gut microbiota profiling by 16S rRNA gene sequencing was performed in PD patients with an unintended WL, in steady weight patients (non-WL [NWL]) and in matched normal subjects. KEGG functional predictions were carried out. Results: Microbiota profiles revealed a dissimilarity between WL and NWL. Moreover, WL pathways were characterized by fatty acid biosynthesis, while NWL by inflammation pathways. Conclusion: The gut microbiota could participate in weight alteration observed in PD by the presence of bacteria involved in weight gain and inflammation, or conversely by bacteria implicated in energy expenditure.
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Affiliation(s)
- Federica Del Chierico
- Human Microbiome Research Unit, Genetics & Rare Diseases Research Division, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Paola Grassini
- Center for Parkinson's disease, University & Institute for Research & Medical Care, IRCCS San Raffaele Pisana, Rome, Italy
| | - Andrea Quagliariello
- Human Microbiome Research Unit, Genetics & Rare Diseases Research Division, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Margherita Torti
- Center for Parkinson's disease, University & Institute for Research & Medical Care, IRCCS San Raffaele Pisana, Rome, Italy
| | - Alessandra Russo
- Parasitology Unit, Laboratory Department, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Sofia Reddel
- Human Microbiome Research Unit, Genetics & Rare Diseases Research Division, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Fabrizio Stocchi
- Center for Parkinson's disease, University & Institute for Research & Medical Care, IRCCS San Raffaele Pisana, Rome, Italy
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Fagerberg P, Klingelhoefer L, Bottai M, Langlet B, Kyritsis K, Rotter E, Reichmann H, Falkenburger B, Delopoulos A, Ioakimidis I. Lower Energy Intake among Advanced vs. Early Parkinson's Disease Patients and Healthy Controls in a Clinical Lunch Setting: A Cross-Sectional Study. Nutrients 2020; 12:E2109. [PMID: 32708668 PMCID: PMC7400863 DOI: 10.3390/nu12072109] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 07/10/2020] [Accepted: 07/14/2020] [Indexed: 02/07/2023] Open
Abstract
Unintentional weight loss has been observed among Parkinson's disease (PD) patients. Changes in energy intake (EI) and eating behavior, potentially caused by fine motor dysfunction and eating-related symptoms, might contribute to this. The primary aim of this study was to investigate differences in objectively measured EI between groups of healthy controls (HC), early (ESPD) and advanced stage PD patients (ASPD) during a standardized lunch in a clinical setting. The secondary aim was to identify clinical features and eating behavior abnormalities that explain EI differences. All participants (n = 23 HC, n = 20 ESPD, and n = 21 ASPD) went through clinical evaluations and were eating a standardized meal (200 g sausages, 400 g potato salad, 200 g apple purée and 500 mL water) in front of two video cameras. Participants ate freely, and the food was weighed pre- and post-meal to calculate EI (kcal). Multiple linear regression was used to explain group differences in EI. ASPD had a significantly lower EI vs. HC (-162 kcal, p < 0.05) and vs. ESPD (-203 kcal, p < 0.01) when controlling for sex. The number of spoonfuls, eating problems, dysphagia and upper extremity tremor could explain most (86%) of the lower EI vs. HC, while the first three could explain ~50% vs. ESPD. Food component intake analysis revealed significantly lower potato salad and sausage intakes among ASPD vs. both HC and ESPD, while water intake was lower vs. HC. EI is an important clinical target for PD patients with an increased risk of weight loss. Our results suggest that interventions targeting upper extremity tremor, spoonfuls, dysphagia and eating problems might be clinically useful in the prevention of unintentional weight loss in PD. Since EI was lower in ASPD, EI might be a useful marker of disease progression in PD.
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Affiliation(s)
- Petter Fagerberg
- Department of Biosciences and Nutrition, Karolinska Institutet, 171 77 Stockholm, Sweden; (B.L.); (I.I.)
| | - Lisa Klingelhoefer
- Department of Neurology, Technical University Dresden, 01099 Dresden, Germany; (L.K.); (E.R.); (H.R.); (B.F.)
| | - Matteo Bottai
- Division of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden;
| | - Billy Langlet
- Department of Biosciences and Nutrition, Karolinska Institutet, 171 77 Stockholm, Sweden; (B.L.); (I.I.)
| | - Konstantinos Kyritsis
- Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (K.K.); (A.D.)
| | - Eva Rotter
- Department of Neurology, Technical University Dresden, 01099 Dresden, Germany; (L.K.); (E.R.); (H.R.); (B.F.)
| | - Heinz Reichmann
- Department of Neurology, Technical University Dresden, 01099 Dresden, Germany; (L.K.); (E.R.); (H.R.); (B.F.)
| | - Björn Falkenburger
- Department of Neurology, Technical University Dresden, 01099 Dresden, Germany; (L.K.); (E.R.); (H.R.); (B.F.)
| | - Anastasios Delopoulos
- Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (K.K.); (A.D.)
| | - Ioannis Ioakimidis
- Department of Biosciences and Nutrition, Karolinska Institutet, 171 77 Stockholm, Sweden; (B.L.); (I.I.)
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Progressive and accelerated weight and body fat loss in Parkinson's disease: A three-year prospective longitudinal study. Parkinsonism Relat Disord 2020; 77:28-35. [PMID: 32615497 DOI: 10.1016/j.parkreldis.2020.06.015] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 06/01/2020] [Accepted: 06/16/2020] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Although weight loss is common in Parkinson's disease (PD), longitudinal studies assessing weight and body composition changes are limited. METHODS In this three-year longitudinal study, 125 subjects (77 PD patients and 48 spousal/sibling controls) underwent clinical, biochemical and body composition assessments using dual-energy X-ray absorptiometry. RESULTS Patients were older than controls (65.6 ± 8.9 vs. 62.6 ± 7.1, P = 0.049), with no significant differences in gender, comorbidities, dietary intake and physical activity. Clinically significant weight loss (≥5% from baseline weight) was recorded in 41.6% of patients, with a doubling of cases (6.5 to 13.0%) classified as underweight at study end. Over three years, patients demonstrated greater reductions in BMI (mean -1.2 kg/m2, 95%CI-2.0 to -0.4), whole-body fat percentage (-2.5% points, 95%CI-3.9 to -1.0), fat mass index (FMI) (-0.9 kg/m2, 95%CI-1.4 to -0.4), visceral fat mass (-0.1 kg, 95%CI-0.2 to 0.0), and subcutaneous fat mass (-1.9 kg, 95%CI-3.4 to -0.5) than in controls, with significant group-by-time interactions after adjusting for age and gender. Notably, 31.2% and 53.3% of patients had FMI<3rd (severe fat deficit) and <10th centiles, respectively. Muscle mass indices decreased over time in both groups, without significant group-by-time interactions. Multiple linear regression models showed that loss of body weight and fat mass in patients were associated with age, dyskinesia, psychosis and constipation. CONCLUSIONS We found progressive loss of weight in PD patients, with greater loss of both visceral and subcutaneous fat, but not muscle, compared to controls. Several associated factors (motor and non-motor disease features) were identified for these changes, providing insights on possible mechanisms and therapeutic targets.
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Altered Body Composition and Increased Resting Metabolic Rate Associated with the Postural Instability/Gait Difficulty Parkinson's Disease Subtype. PARKINSONS DISEASE 2020; 2020:8060259. [PMID: 32257099 PMCID: PMC7103052 DOI: 10.1155/2020/8060259] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 01/23/2020] [Accepted: 02/22/2020] [Indexed: 01/23/2023]
Abstract
Background Weight loss in Parkinson's disease (PD) patients is a common but poorly understood manifestation. Several studies have reported that weight changes could be related to motor symptoms, drug side effects, dysphagia, depression, and/or dementia. Weight loss in PD is not a benign phenomenon and it has several clinical and prognostic implications with increased morbidity and mortality. Thus, it is crucial to determine nutritional changes in PD patients in order to prevent malnutrition and improve their quality of life. Objective To compare body composition and resting metabolic rates between PD patients and controls. Methods A total of 64 PD patients and 52 controls were studied. The Hoehn-Yahr scale was used to determine the disease stage, clinical and epidemiological data were recorded from verbal questionnaire, Inbody S10® was used to collect corporal parameters, and FitMate system was used to assess the resting metabolic rate. Results No significant differences were found between both experimental groups in age, gender, height, cholesterol levels, and the presence of hypertension, diabetes, and hypo/hyperthyroidism. However, the PD group showed lower body fat mass, whole-body fat percentage, and greater resting metabolic rate compared to controls (p < 0.05), with no significant differences in musculoskeletal mass. Parkinson's disease postural instability/gait difficulty (PD-PIGD) subtype showed lower body fat parameters, increased fat-free mass, and higher resting metabolic rates. Conclusions These results suggest that PD patients present an increased resting metabolic rate associated with the postural instability/gait difficulty PD subtype, allowing a selective decrease of body fat mass and not musculoskeletal mass. Of note, several disease-related factors may contribute to this weight loss in PD patients, being a complex and multifactorial consequence. Our findings could likely be one of the many contributing factors. However, present findings may further add to our understanding of the phenomenon of weight loss in patients with PD.
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Masala C, Loy F, Piras R, Liscia A, Fadda L, Moat A, Solla P, Defazio G. Effect of Olfactory and Gustatory Dysfunction and Motor Symptoms on Body Weight in Patients with Parkinson's Disease. Brain Sci 2020; 10:brainsci10040218. [PMID: 32272584 PMCID: PMC7226465 DOI: 10.3390/brainsci10040218] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 04/01/2020] [Accepted: 04/05/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Non-motor symptoms in Parkinson's disease (PD) are often associated with a negative impact on the patients' quality of life and on their weight regulation. The aim of this study was to assess the effect of olfactory and gustatory dysfunction, apathy, fatigue, depression, and motor symptoms on weight regulation in PD patients. METHODS We analyzed 112 participants, 63 PD patients (mean age ± SD: 69.2 ± 10.1), and 49 controls (mean age ± SD: 68 ± 9.6). For each participant we collected age, weight, height, BMI, olfactory and gustatory function, cognitive performance, apathy and fatigue. RESULTS Our data showed that 61.9% (n = 39) of PD patients had hyposmia, while 38.1% (n = 24) had anosmia. In PD patients, we observed a significant effect of Unified Parkinson's Disease Rating Scale (UPDRS), apathy, odor threshold, sweet perception and fatigue on weight regulation. Instead, there was no significant effect for depression and levodopa equivalent daily dosage (LEDD). CONCLUSION Our results suggest that PD non-motor symptoms such as olfactory/gustatory deficits and mood disorders may influence body weight.
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Affiliation(s)
- Carla Masala
- Department of Biomedical Sciences, University of Cagliari, SP 8 Cittadella Universitaria, 09042 Monserrato, Italy; (F.L.); (R.P.); (A.L.)
- Correspondence: ; Tel.: +0039-0706754156
| | - Francesco Loy
- Department of Biomedical Sciences, University of Cagliari, SP 8 Cittadella Universitaria, 09042 Monserrato, Italy; (F.L.); (R.P.); (A.L.)
| | - Raffaella Piras
- Department of Biomedical Sciences, University of Cagliari, SP 8 Cittadella Universitaria, 09042 Monserrato, Italy; (F.L.); (R.P.); (A.L.)
| | - Anna Liscia
- Department of Biomedical Sciences, University of Cagliari, SP 8 Cittadella Universitaria, 09042 Monserrato, Italy; (F.L.); (R.P.); (A.L.)
| | - Laura Fadda
- Department of Neurology, Movement Disorders Center, Institute of Neurology, Azienda Ospedaliero Universitaria (A.O.U.), University of Cagliari, SS 554 km 4.500, 09042 Cagliari, Italy; (L.F.); (P.S.); (G.D.)
| | - Alan Moat
- Medical Faculty, University of Cagliari, SS 554 km 4.500, 09042 Cagliari, Italy;
| | - Paolo Solla
- Department of Neurology, Movement Disorders Center, Institute of Neurology, Azienda Ospedaliero Universitaria (A.O.U.), University of Cagliari, SS 554 km 4.500, 09042 Cagliari, Italy; (L.F.); (P.S.); (G.D.)
| | - Giovanni Defazio
- Department of Neurology, Movement Disorders Center, Institute of Neurology, Azienda Ospedaliero Universitaria (A.O.U.), University of Cagliari, SS 554 km 4.500, 09042 Cagliari, Italy; (L.F.); (P.S.); (G.D.)
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Suzuki K, Okuma Y, Uchiyama T, Miyamoto M, Haruyama Y, Kobashi G, Sakakibara R, Shimo Y, Hatano T, Hattori N, Yamamoto T, Hirano S, Yamamoto T, Kuwabara S, Kaji Y, Fujita H, Kadowaki T, Hirata K. Determinants of Low Body Mass Index in Patients with Parkinson’s Disease: A Multicenter Case-Control Study. JOURNAL OF PARKINSONS DISEASE 2020; 10:213-221. [DOI: 10.3233/jpd-191741] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Keisuke Suzuki
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Yasuyuki Okuma
- Department of Neurology, Juntendo University Shizuoka Hospital, Shizuoka, Japan
| | - Tomoyuki Uchiyama
- Department of Neurology, International University of Health and Welfare, Narita, Japan
| | - Masayuki Miyamoto
- Department of Clinical Medicine for Nursing, Dokkyo Medical University School of Nursing, Tochigi, Japan
| | - Yasuo Haruyama
- Department of Public Health, Dokkyo Medical University School of Medicine, Tochigi, Japan
| | - Gen Kobashi
- Department of Public Health, Dokkyo Medical University School of Medicine, Tochigi, Japan
| | - Ryuji Sakakibara
- Department of Internal Medicine, Neurology Division, Sakura Medical Center, Toho University, Tokyo, Japan
| | - Yasushi Shimo
- Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan
| | - Taku Hatano
- Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan
| | - Nobutaka Hattori
- Department of Neurology, Saitama Medical University, Saitama, Japan
| | | | - Shigeki Hirano
- Department of Neurology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Tatsuya Yamamoto
- Department of Neurology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Satoshi Kuwabara
- Department of Neurology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Yoshiaki Kaji
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Hiroaki Fujita
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Taro Kadowaki
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Koichi Hirata
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
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Ongun N. Does nutritional status affect Parkinson's Disease features and quality of life? PLoS One 2018; 13:e0205100. [PMID: 30278074 PMCID: PMC6168151 DOI: 10.1371/journal.pone.0205100] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Accepted: 09/19/2018] [Indexed: 12/17/2022] Open
Abstract
Objectives The aim of this study was to determine the relationship between nutritional status and Parkinson's Disease (PD) features in association with depression, anxiety and quality of life in people with PD. Materials and methods This study was conducted on 96 patients with idiopathic PD to whom the following scales were applied: Unified Parkinson’s Disease Rating Scale (UPDRS), 39-item PD questionnaire (PDQ-39), Hospital Anxiety and Depression Score (HADS), Mini Nutritional Assessment (MNA). The scales and measurements were applied to patients at their first assessment. Patients with malnutrition or at risk of malnutrition were assessed by the dietitian and nutrition nurse. These patients received nutritional support through personalized diet recommendations and appropriate enteral nutritional products, considering factors such as age, comorbidity, socioeconomic and cultural conditions. At the end of 6 weeks, the scales and measurements applied during the first visit were again applied to the patients. Results A significant and inverse correlation was determined between mental (Spearman r:-0.510, p<0.001), activities of daily living (Spearman r:-0.520, p<0.001), motor (Spearman r:-0.480, p<0.001), complications (Spearman r:-0.346, p<0.001) UPDRS subdivisions and total scores (Spearman r:-0.644, p<0.001) and total MNA score. A significant and inverse correlation was found between all PDQ-39 subdomains and total MNA score (p<0.05). The highest inverse correlations were found in mobility (Spearman r:-0.690, p<0.001) and stigma (Spearman r:-0.570, p<0.001). Both depression (Spearman r:-0.631, p<0.001) and anxiety (Spearman r:-0.333, p<0.001) scores were determined to be inversely correlated with total MNA score. At the 6-week control visit, significantly lower scores were found in all subdivisions and in the total UPDRS score, PDQ-39 score and in the patients' anxiety and depression scores (p<0.05). MNA scores were found to be significantly higher in the assessment performed after 6 weeks of support for patients who had abnormal nutritional status at inception (p<0.001). Conclusion PD motor and nonmotor functions, disease duration and severity are related to nutritional status. Quality of life was also shown to be affected by changes in the nutritional status. These results show that nutritional status assessment should be a standard approach in the PD treatment and follow-up processes.
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Affiliation(s)
- Nedim Ongun
- Department of Neurology, Burdur State Hospital, Burdur, Turkey
- * E-mail:
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Cuvelier E, Méquinion M, Leghay C, Sibran W, Stievenard A, Sarchione A, Bonte MA, Vanbesien-Mailliot C, Viltart O, Saitoski K, Caron E, Labarthe A, Comptdaer T, Semaille P, Carrié H, Mutez E, Gressier B, Destée A, Chartier-Harlin MC, Belarbi K. Overexpression of Wild-Type Human Alpha-Synuclein Causes Metabolism Abnormalities in Thy1-aSYN Transgenic Mice. Front Mol Neurosci 2018; 11:321. [PMID: 30333721 PMCID: PMC6176013 DOI: 10.3389/fnmol.2018.00321] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Accepted: 08/17/2018] [Indexed: 12/20/2022] Open
Abstract
Parkinson’s disease is a progressive neurodegenerative disorder characterized by loss of dopaminergic neurons, pathological accumulation of alpha-synuclein and motor symptoms, but also by non-motor symptoms. Metabolic abnormalities including body weight loss have been reported in patients and could precede by several years the emergence of classical motor manifestations. However, our understanding of the pathophysiological mechanisms underlying body weight loss in PD is limited. The present study investigated the links between alpha-synuclein accumulation and energy metabolism in transgenic mice overexpressing Human wild-type (WT) alpha-synuclein under the Thy1 promoter (Thy1-aSYN mice). Results showed that Thy1-aSYN mice gained less body weight throughout life than WT mice, with significant difference observed from 3 months of age. Body composition analysis of 6-month-old transgenic animals showed that body mass loss was due to lower adiposity. Thy1-aSYN mice displayed lower food consumption, increased spontaneous activity, as well as a reduced energy expenditure compared to control mice. While no significant change in glucose or insulin responses were observed, Thy1-aSYN mice had significantly lower plasmatic levels of insulin and leptin than control animals. Moreover, the pathological accumulation of alpha-synuclein in the hypothalamus of 6-month-old Thy1-aSYN mice was associated with a down-regulation of the phosphorylated active form of the signal transducer and activator of transcription 3 (STAT3) and of Rictor (the mTORC2 signaling pathway), known to couple hormonal signals with the maintenance of metabolic and energy homeostasis. Collectively, our results suggest that (i) metabolic alterations are an important phenotype of alpha-synuclein overexpression in mice and that (ii) impaired STAT3 activation and mTORC2 levels in the hypothalamus may underlie the disruption of feeding regulation and energy metabolism in Thy1-aSYN mice.
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Affiliation(s)
- Elodie Cuvelier
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Mathieu Méquinion
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Coline Leghay
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - William Sibran
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Aliçia Stievenard
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Alessia Sarchione
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Marie-Amandine Bonte
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Christel Vanbesien-Mailliot
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Odile Viltart
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Kevin Saitoski
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Emilie Caron
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Alexandra Labarthe
- UMR 894, Centre de Psychiatrie et Neurosciences, Inserm, Université Paris Descartes, Paris, France
| | - Thomas Comptdaer
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Pierre Semaille
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Hélène Carrié
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Eugénie Mutez
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Bernard Gressier
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Alain Destée
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Marie-Christine Chartier-Harlin
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
| | - Karim Belarbi
- UMR-S 1172, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer, Inserm, Centre Hospitalier Régional Universitaire de Lille, Université de Lille, Lille, France
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Park K, Oeda T, Kohsaka M, Tomita S, Umemura A, Sawada H. Low body mass index and life prognosis in Parkinson's disease. Parkinsonism Relat Disord 2018; 55:81-85. [DOI: 10.1016/j.parkreldis.2018.05.011] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 04/04/2018] [Accepted: 05/14/2018] [Indexed: 12/14/2022]
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Weight Loss in Parkinson's Disease: The Relationship with Motor Symptoms and Disease Progression. BIOMED RESEARCH INTERNATIONAL 2018; 2018:9642524. [PMID: 30105269 PMCID: PMC6076942 DOI: 10.1155/2018/9642524] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 06/20/2018] [Indexed: 01/31/2023]
Abstract
Objectives To determine the prevalence of weight loss (WL) in PD patients, its relationship to the severity of motor manifestations and appetite changes. Methods 144 PD patients and 120 controls were evaluated in a single session. All subjects were asked about changes in body weight and appetite. PD patients were examined with the UPDRS-III and the Hoehn and Yahr (HY) scales. Subscores of tremor, bradykinesia /rigidity, and non-dopaminergic symptoms (NDS) were analyzed individually. Multivariable logistic regression analysis was used to determine an association between WL and PD motor manifestations. Results 48.6 % of PD patients presented WL compared to 20.8 % of controls (p < 0.001). Weight losers were significantly older and had longer disease duration, higher scores in HY stages, UPDRS-III, and NDS-subscore. Multivariable logistic regression analysis demonstrated that WL was associated with NDS-subscore (p= 0.002; OR: 1.33) and older age (p= 0.037; OR: 1.05). Appetite in PD cases losing weight was unchanged (35.7 %), decreased (31.4 %), or even increased (32.9). Conclusions Our results showed that WL occurs in almost half of PD patients and it is largely the consequence of disease progression rather than involuntary movements or a decrease in food intake.
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Ramaswamy B, Johnson C. Exploring Decisions to Undertake a Marathon and Adherence Challenges in a Novice Runner With Parkinson. J Patient Exp 2018; 5:127-133. [PMID: 29978029 PMCID: PMC6022937 DOI: 10.1177/2374373517736759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Evidence endorses the benefits of more vigorous exercise for people with Parkinson's, particularly following diagnosis, yet is not clear which style is optimal. The authors share perspectives and decisions made as a physiotherapist (assisted by a sports and exercise science student) and a novice runner with Parkinson's in his late 50s, respectively. The exercise goal chosen by the runner (the case report participant) to minimize the degenerative effects of the progressive condition was to complete a marathon.
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Affiliation(s)
- Bhanu Ramaswamy
- Faculty of Health and Wellbeing, Health and Social Care Research Centre, Sheffield Hallam University, Sheffield, UK
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Crosta F, Desideri G, Marini C. Obstructive sleep apnea syndrome in Parkinson's disease and other parkinsonisms. FUNCTIONAL NEUROLOGY 2018; 32:137-141. [PMID: 29042002 PMCID: PMC5726349 DOI: 10.11138/fneur/2017.32.3.137] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
An association of obstructive sleep apnea syndrome (OSAS) and other sleep-disordered breathing (SDB) with Parkinson's disease (PD) has been reported in some small studies. In the present study we investigated the occurrence of SDB in a large consecutive outpatient series. This is a case-control study in subjects attending a neurological clinic where all patients were screened for SDB by means of sleep-wake history, Epworth Sleepiness Scale, and full-night polysomnography, when indicated. 3194 patients were recruited. Of these, 194 were affected by PD and 77 by other parkinsonisms. Snoring, excessive daytime sleepiness and OSAS were more common in patients with PD or parkinsonisms (40.59, 5.9, and 4.06%) than in controls (35.58, 2.19, and 2.09%). Our study suggests an increased frequency of OSAS and other SDB in PD and parkinsonisms. Early detection and management of these disorders may have a substantial impact on quality of life and survival in these patients.
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Affiliation(s)
- Francesca Crosta
- Geriatric Unit, Department of Medicine, Health and Environment Sciences, L’Aquila, Italy
| | | | - Carmine Marini
- Neurology Unit, Department of Medicine, Health and Environment Sciences, L’Aquila, Italy
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Weight loss is associated with rapid striatal dopaminergic degeneration in Parkinson's disease. Parkinsonism Relat Disord 2018; 51:67-72. [DOI: 10.1016/j.parkreldis.2018.02.044] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2018] [Revised: 02/21/2018] [Accepted: 02/27/2018] [Indexed: 12/12/2022]
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Roos DS, Oranje OJM, Freriksen AFD, Berendse HW, Boesveldt S. Flavor perception and the risk of malnutrition in patients with Parkinson's disease. J Neural Transm (Vienna) 2018; 125:925-930. [PMID: 29470631 PMCID: PMC5968068 DOI: 10.1007/s00702-018-1862-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Accepted: 02/14/2018] [Indexed: 12/20/2022]
Abstract
Flavor perception involves both olfactory and gustatory function. In patients with Parkinson’s disease (PD), hyposmia is a frequent finding, as well as an increased risk of malnutrition. We performed a pilot study to investigate the relationship between flavor perception and risk of malnutrition in PD patients. 63 PD patients participated to perform an olfactory (Sniffin’ Sticks) and gustatory (Taste Strips) task, and a questionnaire to establish nutritional risk (MUST), which includes BMI measurements. The relationship between olfactory and gustatory function and BMI was analyzed using partial correlations, corrected for disease duration, and regression analysis. Patients displayed a high prevalence of hyposmia (68.3%), and a low prevalence (6.3%) of hypogeusia. A small, but significant correlation was found between olfactory function and BMI (r = 0.261, p = 0.038), and not for gustatory function and BMI (r = 0.137, p = 0.284). Hyposmia, and not hypogeusia, may contribute to weight loss in Parkinson’s disease, and hence increase the risk of malnutrition.
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Affiliation(s)
- Dareia S Roos
- Department of Neurology, VU University Medical Center, P.O. Box 7057, 1007 MB, Amsterdam, The Netherlands.
| | - Oscar J M Oranje
- Department of Neurology, VU University Medical Center, P.O. Box 7057, 1007 MB, Amsterdam, The Netherlands
| | - Anneleen F D Freriksen
- Department of Neurology, VU University Medical Center, P.O. Box 7057, 1007 MB, Amsterdam, The Netherlands
| | - Henk W Berendse
- Department of Neurology, VU University Medical Center, P.O. Box 7057, 1007 MB, Amsterdam, The Netherlands
| | - Sanne Boesveldt
- Division of Human Nutrition, Wageningen University, P.O. Box 17, 6700 AA, Wageningen, The Netherlands
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Ma K, Xiong N, Shen Y, Han C, Liu L, Zhang G, Wang L, Guo S, Guo X, Xia Y, Wan F, Huang J, Lin Z, Wang T. Weight Loss and Malnutrition in Patients with Parkinson's Disease: Current Knowledge and Future Prospects. Front Aging Neurosci 2018; 10:1. [PMID: 29403371 PMCID: PMC5780404 DOI: 10.3389/fnagi.2018.00001] [Citation(s) in RCA: 106] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 01/04/2018] [Indexed: 12/28/2022] Open
Abstract
Parkinson's Disease (PD) is currently considered a systemic neurodegenerative disease manifested with not only motor but also non-motor symptoms. In particular, weight loss and malnutrition, a set of frequently neglected non-motor symptoms, are indeed negatively associated with the life quality of PD patients. Moreover, comorbidity of weight loss and malnutrition may impact disease progression, giving rise to dyskinesia, cognitive decline and orthostatic hypotension, and even resulting in disability and mortality. Nevertheless, the underlying mechanism of weight loss and malnutrition in PD remains obscure and possibly involving multitudinous, exogenous or endogenous, factors. What is more, there still does not exist any weight loss and malnutrition appraision standards and management strategies. Given this, here in this review, we elaborate the weight loss and malnutrition study status in PD and summarize potential determinants and mechanisms as well. In conclusion, we present current knowledge and future prospects of weight loss and malnutrition in the context of PD, aiming to appeal clinicians and researchers to pay a closer attention to this phenomena and enable better management and therapeutic strategies in future clinical practice.
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Affiliation(s)
- Kai Ma
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Nian Xiong
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Shen
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chao Han
- Department of Neurology, Anhui Provincial Hospital, The First Affiliated Hospital of University of Science and Technology of China, Hefei, China
| | - Ling Liu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoxin Zhang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Luxi Wang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shiyi Guo
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xingfang Guo
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yun Xia
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fang Wan
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jinsha Huang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhicheng Lin
- Department of Psychiatry, Harvard Medical School, Division of Basic Neuroscience, and Mailman Neuroscience Research Center, McLean Hospital, Belmont, MA, United States
| | - Tao Wang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Molecular Imaging of the Serotonergic System in Parkinson's Disease. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2018; 141:173-210. [DOI: 10.1016/bs.irn.2018.08.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Cumming K, Macleod AD, Myint PK, Counsell CE. Early weight loss in parkinsonism predicts poor outcomes: Evidence from an incident cohort study. Neurology 2017; 89:2254-2261. [PMID: 29079685 PMCID: PMC5705250 DOI: 10.1212/wnl.0000000000004691] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2017] [Accepted: 09/11/2017] [Indexed: 01/27/2023] Open
Abstract
Objective: To compare weight change over time in patients with Parkinson disease (PD), those with atypical parkinsonism, and matched controls; to identify baseline factors that influence weight loss in parkinsonism; and to examine whether it predicts poor outcome. Methods: We analyzed data from the Parkinsonism Incidence in North-East Scotland (PINE) study, an incident, population-based prospective cohort of parkinsonian patients and age- and sex-matched controls with annual follow-up. Mixed-model analysis described weight change in patients with PD, those with atypical parkinsonism, and controls. Baseline determinants of sustained clinically significant weight loss (>5% loss from baseline) and associations between early sustained weight loss and death, dementia, and dependency in parkinsonism were studied with Cox regression. Results: A total of 515 participants (240 controls, 187 with PD, 88 with atypical parkinsonism) were followed up for a median of 5 years. At diagnosis, atypical parkinsonian patients had lower body weights than patients with PD, who were lighter than controls. Patients with PD lost weight more rapidly than controls, and weight loss was most rapid in atypical parkinsonism. After multivariable adjustment for potential confounders, only age was independently associated with sustained clinically significant weight loss (hazard ratio [HR] for 10-year age increase 1.83, 95% confidence interval [CI] 1.44–2.32). Weight loss occurring within 1 year of diagnosis was independently associated with increased risk of dependency (HR 2.11, 95% CI 1.00–4.42), dementia (HR 3.23, 95% CI 1.40–7.44), and death (HR 2.23, 95% CI 1.46–3.41). Conclusion: Weight loss occurs in early parkinsonism and is greater in atypical parkinsonism than in PD. Early weight loss in parkinsonism has prognostic significance, and targeted dietary interventions to prevent it may improve long-term outcomes.
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Affiliation(s)
- Kirsten Cumming
- From the School of Medicine (K.C.), Medical Sciences & Nutrition, and Chronic Disease Research Group (A.D.M., C.E.C.) and Ageing Clinical & Experimental Research Team (P.K.M.), Institute of Applied Health Sciences, University of Aberdeen, Scotland
| | - Angus D Macleod
- From the School of Medicine (K.C.), Medical Sciences & Nutrition, and Chronic Disease Research Group (A.D.M., C.E.C.) and Ageing Clinical & Experimental Research Team (P.K.M.), Institute of Applied Health Sciences, University of Aberdeen, Scotland.
| | - Phyo K Myint
- From the School of Medicine (K.C.), Medical Sciences & Nutrition, and Chronic Disease Research Group (A.D.M., C.E.C.) and Ageing Clinical & Experimental Research Team (P.K.M.), Institute of Applied Health Sciences, University of Aberdeen, Scotland
| | - Carl E Counsell
- From the School of Medicine (K.C.), Medical Sciences & Nutrition, and Chronic Disease Research Group (A.D.M., C.E.C.) and Ageing Clinical & Experimental Research Team (P.K.M.), Institute of Applied Health Sciences, University of Aberdeen, Scotland
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Continuous subcutaneous apomorphine infusion in Parkinson's disease patients with cognitive dysfunction: A retrospective long-term follow-up study. Parkinsonism Relat Disord 2017; 45:33-38. [PMID: 29032012 DOI: 10.1016/j.parkreldis.2017.09.025] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Revised: 09/23/2017] [Accepted: 09/28/2017] [Indexed: 11/20/2022]
Abstract
INTRODUCTION Continuous apomorphine infusion (CAI) is an advanced therapy in fluctuating Parkinson's disease (PD). The use of CAI is controversial in PD patients with cognitive dysfunction including visual hallucinations (VHs), and orthostatic hypotension (OH). This study was set-up to analyze the effectiveness and safety of CAI in elderly PD patients with cognitive dysfunction. METHODS This new-user cohort study identified fluctuating PD patients who started CAI treatment at the rehabilitation unit of Parkinson Expertise Center (RU-PEC) Groningen, from November 2004 until 2016. Efficacy and safety data included motor function, cognitive status, OH and VHs, and was analyzed retrospectively. Pre-existent non-motor symptoms were treated optimally before starting CAI. RESULTS Forty-five fluctuating PD patients (age: 70.9 ± 8.1 yrs, disease duration: 10.8 ± 4.8 yrs) were identified, with pre-existing cognitive dysfunction, VHs (71%), and OH (26%). During the stay at RU-PEC (median 52 days) apomorphine was successfully titrated without worsening of pre-existing VHs and OH. The mean daily apomorphine dose was 66 ± 28 mg, accompanied by a reduction of levodopa-equivalent daily dose (LEDD) with 17%. The duration of ON-time and OFF-time significantly improved with +2.36 h (25%) and -1.66 h (-45%), respectively, while dyskinesia duration did not change. During long-term follow-up (median of 26 months) VHs and OH worsened in 9 and 4 patients, which necessitated discontinuation in 4 cases. CONCLUSION This study demonstrates that CAI is also an effective treatment in advanced PD patients with concomitant cognitive dysfunction including VHs and OH, provided that these comorbidities are treated adequately as well.
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Predictors of weight loss in early treated Parkinson's disease from the NET-PD LS-1 cohort. J Neurol 2017; 264:1746-1753. [PMID: 28712000 DOI: 10.1007/s00415-017-8562-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 06/16/2017] [Accepted: 06/29/2017] [Indexed: 10/19/2022]
Abstract
Weight loss is a common symptom of Parkinson's disease and is associated with impaired quality of life. Predictors of weight loss have not been studied in large clinical cohorts. We previously observed an association between change in body mass index and change in Unified Parkinson's Disease Rating Scale (UPDRS) motor and total scores. In this study, we performed a secondary analysis of longitudinal data (1-6 years) from 1619 participants in the NINDS Exploratory Trials in PD Long-term Study-1 (NET-PD LS1) to explore predictors of weight loss in a large prospective clinical trial cohort of early treated Parkinson's disease. The NET-PD LS1 study was a double-blind randomized placebo controlled clinical trial of creatine monohydrate 10 gm/day in early treated PD (within 5 years of diagnosis and within 2 years of starting dopaminergic medications). Linear mixed models were used to estimate the effect of baseline clinical covariates on weight change over time. On average, participants lost only 0.6 kg per year. Higher age, baseline weight, female gender, higher baseline UPDRS scores, greater postural instability, difficulty eating and drinking, lower cognitive scores and baseline levodopa use (compared to dopamine agonists) were all associated with weight loss. Surprisingly baseline difficulty swallowing, dyskinesia, depression, intestinal hypomotility (constipation) and self-reported nausea/vomiting/anorexia were not significantly associated with weight loss in this cohort of early treated Parkinson's disease patients. On average, participants with Parkinson's disease experience little weight loss during the first 1-6 years after starting dopaminergic replacement therapy, however levodopa use and postural instability were both predictors of early weight loss. Trial Registration clinicaltrials.gov identifier# NCT00449865.
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Sharma JC, Lewis A. Weight in Parkinson's Disease: Phenotypical Significance. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2017; 134:891-919. [PMID: 28805588 DOI: 10.1016/bs.irn.2017.04.011] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Body weight in Parkinson's disease (PD) is a significant nonmotor feature. Weight homeostasis is a complex physiological process and gets deranged in PD patients leading to changes in weight. While both the low and high body weight have been reported as risk factors for PD, the majority of PD patients have a lower weight and a subset of patients lose weight during the course of the disease, while a small proportion gain weight. A number of clinical parameters such as older age, impaired cognition, severity of disease, and an imbalance of food intake determined by satiety and hunger hormones have been reported to be associated with but not the cause of weight change. Low body weight and weight loss have a negative impact on disease severity, dyskinesia quality of life, and mortality indicative of disease progression. An early assessment of olfactory impairment seems to identify patients at risk of weight loss, the patients with more severe olfactory loss-anosmic group, lose weight as compared to the patients with some preservation of olfaction, the hyposmic group. Higher levodopa dose per kilogram body weight increases the risk of dyskinesia, higher body weight seems to be protective against this complication. The identification of PD patients according to the nonmotor phenotype of "Park-olfaction-weight-phenotype" and the "olfaction-weight-dyskinesia" triad should help to develop strategies to prevent weight reduction and improve general health and complications of PD patients. The phenotype seems to reflect a differential prodromal pathology and influence clinical disease. Higher body weight patients would benefit from life style changes to achieve a healthy profile. Weight monitoring and weight orientated approach to management of PD patients should help to improve their outcome. Body weight change might be a surrogate to disease progression and may be used to investigate neuroprotection strategies.
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Affiliation(s)
- Jagdish C Sharma
- Geriatric Medicine (Movement Disorders), Lincoln County Hospital, Lincoln, United Kingdom; University of Lincoln, Lincoln, United Kingdom.
| | - Anna Lewis
- Geriatric Medicine (Movement Disorders), Lincoln County Hospital, Lincoln, United Kingdom; University of Lincoln, Lincoln, United Kingdom
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A multifactorial study on nutritional status, binge eating and physical activity as main factors directly influencing body weight in Parkinson's disease. NPJ PARKINSONS DISEASE 2017. [PMID: 28649617 PMCID: PMC5460268 DOI: 10.1038/s41531-017-0018-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Weight lossisa multifactorial disorder commonly affecting Parkinson's disease patients. The aim of this study was to investigate the relationship between body weight, nutritional status, physical activity, and Parkinson's disease-related factors. A total of 114 consecutive Parkinson's disease patients without dietary restrictions were evaluated prospectively with respect to: nutritional status (Mini Nutritional Assessment), physical activity level (Yale Physical Activity Survey), MDS-UPDRS score, olfactory function, depression, cognitive functionand impulse-control disorders, among other variables. Structural equation modeling was used to build multivariate models and to calculate standardized regression weights (srw) for pairs of variables, which are homologous to correlation coefficients, taking into account the effects of all other variables in the model. Sixty (53%) patients were males. Mean age was 66.1 ± 9.8 years and mean disease duration was 8.3 ± 5.6 years. Longer disease duration was negatively related to nutritional status (srw = -0.25; p = 0.01). UPDRS II + III score was associated with reduced cognitive function (srw = -0.39; p = 0.01), which was positivelyrelated to nutritional status (srw = 0.23; p = 0.01). Finally, nutritional status was positively related to body weight (srw = 0.22, p < 0.01). Binge eating and physical activity were also directly and positively related to body weight (srw = 0.32; p = 0.001 and srw = 0.23; p = 0.001). Nutritional status, binge eating and physical activity were directly and independently related to body weight in our sample of Parkinson's disease patients. Therefore, physicians should actively explore nutritional status and binge eating in Parkinson's disease patients to avoid alterations in body weight regulation. Effects of physical activity should be further explored.
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Umehara T, Nakahara A, Matsuno H, Toyoda C, Oka H. Body weight and dysautonomia in early Parkinson's disease. Acta Neurol Scand 2017; 135:560-567. [PMID: 27357472 DOI: 10.1111/ane.12633] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/09/2016] [Indexed: 12/01/2022]
Abstract
OBJECTIVES Patients with Parkinson's disease (PD) begin to lose weight several years before diagnosis, which suggests weight variation is associated with some factor(s) that precede the onset of motor symptoms. This study aimed to investigate the association of autonomic nervous system with body weight in patients with PD. MATERIALS AND METHODS The subjects were 90 patients with early de novo PD. We examined the associations of body mass index (BMI) with sympathetic nervous activity reflected in orthostatic intolerance or cardiac uptake of 123 I-metaiodobenzylguanidine and parasympathetic nervous activity reflected in constipation or heart rate variability (HRV). RESULTS Twelve patients (13.3%) were overweight (BMI>25 kg/m2 ), 62 patients (68.9%) were normal-weight (18.5≦BMI<25 kg/m2 ), and 16 patients (17.8%) were underweight (BMI<18.5 kg/m2 ). Underweight patients had greater disease severity and decrease in blood pressure on head-up tilt-table testing, higher cardiac washout ratio of 123 I-metaiodobenzylguanidine, and lower HRV and complained of constipation more often than those with normal-weight or overweight patients. On multiple regression analyses, the correlation of these variables with BMI maintained statistical significance after adjustment for age, sex, symptom duration, and motor subtype. CONCLUSIONS Dysautonomia and disease severity are closely related to body weight independently of age, sex, symptom duration, and motor subtype. Dysautonomia may play a partial role on weight variation in the early stage of PD.
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Affiliation(s)
- T. Umehara
- Department of Neurology; Daisan Hospital; The Jikei University School of Medicine; Tokyo Japan
| | - A. Nakahara
- Department of Neurology; Daisan Hospital; The Jikei University School of Medicine; Tokyo Japan
| | - H. Matsuno
- Department of Neurology; The Jikei University School of Medicine; Tokyo Japan
| | - C. Toyoda
- Department of Neurology; The Jikei University School of Medicine; Tokyo Japan
| | - H. Oka
- Department of Neurology; Daisan Hospital; The Jikei University School of Medicine; Tokyo Japan
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Tomic S, Pekic V, Popijac Z, Pucic T, Petek M, Kuric TG, Misevic S, Kramaric RP. What increases the risk of malnutrition in Parkinson's disease? J Neurol Sci 2017; 375:235-238. [DOI: 10.1016/j.jns.2017.01.070] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Revised: 01/03/2017] [Accepted: 01/30/2017] [Indexed: 10/20/2022]
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Cipriani G, Carlesi C, Lucetti C, Danti S, Nuti A. Eating Behaviors and Dietary Changes in Patients With Dementia. Am J Alzheimers Dis Other Demen 2016; 31:706-716. [PMID: 27756815 PMCID: PMC10852764 DOI: 10.1177/1533317516673155] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2024]
Abstract
BACKGROUND Eating problems and dietary changes have been reported in patients with dementia. OBJECTIVES The aim of this article is to explore the generalized problems with nutrition, diet, feeding, and eating reported among patients with dementia. METHODS Medline and Google Scholar searches were conducted for relevant articles, chapters, and books published before 2016. Search terms used included behavioral and psychological symptoms of dementia, dementia, dietary changes, eating behavior. Publications found through this indexed search were reviewed for further relevant references. RESULTS Abnormal eating behaviors, eating problems, and dietary changes are present in most people with dementia, especially in the later stages of the condition. CONCLUSION Individuals with dementia frequently develop serious feeding difficulties and changes in eating and dietary habits. The changes may be secondary to cognitive impairment or apraxia, or the result of insufficient caregiving, or the consequence of metabolic or neurochemical abnormalities occurring as part of the dementing process.
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Affiliation(s)
| | | | | | - Sabrina Danti
- Department of Neurology, Versilia Hospital, Lucca, Italy
| | - Angelo Nuti
- Department of Neurology, Versilia Hospital, Lucca, Italy
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Bernhardt D, Müller HP, Ludolph AC, Dupuis L, Kassubek J. Body fat distribution in Parkinson's disease: An MRI-based body fat quantification study. Parkinsonism Relat Disord 2016; 33:84-89. [DOI: 10.1016/j.parkreldis.2016.09.016] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2016] [Revised: 08/22/2016] [Accepted: 09/15/2016] [Indexed: 01/26/2023]
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