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Jerčić KG, Blažeković A, Borovečki S, Borovečki F. Non-motor symptoms of Parkinson`s disease-insights from genetics. J Neural Transm (Vienna) 2024; 131:1277-1284. [PMID: 39294309 DOI: 10.1007/s00702-024-02833-8] [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: 07/02/2024] [Accepted: 09/05/2024] [Indexed: 09/20/2024]
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder characterized by both motor and non-motor symptoms (NMS). NMS including sleep disturbances, depression, anxiety, and constipation are diverse, can precede motor symptoms, and significantly impact patients` quality of life. The severity and type of NMS vary based on age, disease severity, and motor symptoms, and while some respond to dopaminergic treatments, others may be induced or exacerbated by such treatments. NMS also play a role in differentiating PD from drug-induced parkinsonism and are related to gait dysfunction in both early and advanced stages. Genetic factors play a significant role in the development of NMS in PD, with mutations in genes such as SNCA, LRRK2, PRKN, and GBA being associated with severe and early NMS. Familial studies and identification of susceptibility factors have provided insights into the genetic underpinnings of NMS in PD. Neurobehavioral changes, including cognitive decline, are common NMS in PD, and their genetic basis involves a spectrum of mutations shared with other neurodegenerative disorders. Further research is needed to elucidate the functional implications of these genetic factors and their contributions to the pathogenesis of NMS in PD.
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Affiliation(s)
- Kristina Gotovac Jerčić
- Department for Personalized Medicine, University Hospital Center Zagreb, Zagreb, 10 000, Croatia.
| | - Antonela Blažeković
- Department for Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Zagreb, 10 000, Croatia
| | - Sabina Borovečki
- Department of Neurology, Clinical Hospital Dubrava, Zagreb, Croatia
| | - Fran Borovečki
- Department for Personalized Medicine, University Hospital Center Zagreb, Zagreb, 10 000, Croatia
- Department for Functional Genomics, Center for Translational and Clinical Research, University of Zagreb School of Medicine, University Hospital Center Zagreb, Zagreb, 10 000, Croatia
- Department of Neurology, University Hospital Center Zagreb, University of Zagreb School of Medicine, Zagreb, 10 000, Croatia
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Wang X, Xiong B, Wu T, Liu X, Li K, Wang S, Deng MG, Peng M. Effect of desflurane maintenance on postoperative sleep quality in patients undergoing elective breast surgery: A non-inferiority randomized controlled trial. Sleep Med 2024; 121:287-294. [PMID: 39038404 DOI: 10.1016/j.sleep.2024.07.022] [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: 04/07/2024] [Revised: 06/26/2024] [Accepted: 07/16/2024] [Indexed: 07/24/2024]
Abstract
BACKGROUND Postoperative sleep disturbance (PSD) is prevalent in perioperative patients,and has significant impact on postoperative recovery and prognosis. The aim of this study was to investigate the effect of desflurane maintenance on postoperative sleep quality, in order to optimize patients' perioperative sleep management. METHOD A total of 118 patients undergoing elective breast surgery were randomized to receive either desflurane-based volatile anesthesia (desflurane group) or propofol-based total intravenous anesthesia (propofol group) for anesthesia maintenance. The primary outcome was the quality of sleep, which was assessed by the Pittsburgh Sleep Quality Index (PSQI) on 3 days after operation (POD3). Secondary outcomes were PSQI on postoperative day 7 (POD7) and 30 (POD30), and postoperative anxiety, depression, and pain score, as well as objective sleep parameters including total sleep time (TST), WASO (Wakefulness after sleep onset), REM (Rapid eye movement) and NREM (Non-rapid Eye Movement) measured by Fitbit Charge 2TM during the initial 3 postoperative days. RESULTS The global PSQI scores on POD3 in the desflurane group was non-inferior to that in the propofol group [mean (SD) 8.47 (3.46) vs. 7.65 (3.16); mean difference (95 % CI) 0.82 (-0.43, 2.07); p < 0.001 for non-inferiority]. There were no significant differences in PSQI scores on POD3 and POD7. In addition, the score of anxiety, depression, and pain on the 3rd, 7th, and 30th day after surgery have no significant differences between the propofol and the desflurane group, respectively. The postoperative NREM was higher in the desflurane group than that in the propofol group. CONCLUSION The effects of desflurane-based volatile anesthesia maintenance on postoperative sleep quality is not inferior to that of propofol-based total intravenous anesthesia, and these two drugs may have different effects on the sleep structure. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT04805775.
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Affiliation(s)
- Xiaohua Wang
- Department of Anesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Bingrui Xiong
- Department of Anesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Tangjing Wu
- Department of Anesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xin Liu
- Department of Anesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Ke Li
- Department of Anesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Shan Wang
- Department of Anesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Ming-Gang Deng
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, 430012, China; Department of Psychiatry, Wuhan Hospital for Psychotherapy, Wuhan, 430012, Hubei, China.
| | - Mian Peng
- Department of Anesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
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Sringean J, Udomsirithamrong O, Bhidayasiri R. Too little or too much nocturnal movements in Parkinson's disease: A practical guide to managing the unseen. Clin Park Relat Disord 2024; 10:100258. [PMID: 38845753 PMCID: PMC11153921 DOI: 10.1016/j.prdoa.2024.100258] [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: 03/27/2024] [Revised: 05/13/2024] [Accepted: 05/21/2024] [Indexed: 06/09/2024] Open
Abstract
Nocturnal and sleep-related motor disorders in people with Parkinson's disease (PD) have a wide spectrum of manifestations and present a complex clinical picture. Problems can arise due to impaired movement ability (hypokinesias), e.g. nocturnal hypokinesia or early-morning akinesia, or to excessive movement (hyperkinesias), e.g. end-of-the-day dyskinesia, parasomnias, periodic limb movement during sleep and restless legs syndrome. These disorders can have a significant negative impact on the sleep, daytime functional ability, and overall quality of life of individuals with PD and their carers. The debilitating motor issues are often accompanied by a combination of non-motor symptoms, including pain and cramping, which add to the overall burden. Importantly, nocturnal motor disorders encompass a broader timeline than just the period of sleep, often starting in the evening, as well as occurring throughout the night and on awakening, and are not just limited to problems of insomnia or sleep fragmentation. Diagnosis can be challenging as, in many cases, the 'gold standard' assessment method is video polysomnography, which may not be available in all settings. Various validated questionnaires are available to support evaluation, and alternative approaches, using wearable sensors and digital technology, are now being developed to facilitate early diagnosis and monitoring. This review sets out the parameters of what can be considered normal nocturnal movement and describes the clinical manifestations, usual clinical or objective assessment methods, and evidence for optimal management strategies for the common nocturnal motor disorders that neurologists will encounter in people with PD in their clinical practice.
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Affiliation(s)
- Jirada Sringean
- Chulalongkorn Centre of Excellence for Parkinson’s Disease & Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok 10330, Thailand
| | - Ornanong Udomsirithamrong
- Chulalongkorn Centre of Excellence for Parkinson’s Disease & Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok 10330, Thailand
| | - Roongroj Bhidayasiri
- Chulalongkorn Centre of Excellence for Parkinson’s Disease & Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok 10330, Thailand
- The Academy of Science, The Royal Society of Thailand, Bangkok 10330, Thailand
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Yang Y, Kim WS, Michaelian JC, Lewis SJG, Phillips CL, D'Rozario AL, Chatterjee P, Martins RN, Grunstein R, Halliday GM, Naismith SL. Predicting neurodegeneration from sleep related biofluid changes. Neurobiol Dis 2024; 190:106369. [PMID: 38049012 DOI: 10.1016/j.nbd.2023.106369] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 11/30/2023] [Accepted: 12/01/2023] [Indexed: 12/06/2023] Open
Abstract
Sleep-wake disturbances are common in neurodegenerative diseases and may occur years before the clinical diagnosis, potentially either representing an early stage of the disease itself or acting as a pathophysiological driver. Therefore, discovering biomarkers that identify individuals with sleep-wake disturbances who are at risk of developing neurodegenerative diseases will allow early diagnosis and intervention. Given the association between sleep and neurodegeneration, the most frequently analyzed fluid biomarkers in people with sleep-wake disturbances to date include those directly associated with neurodegeneration itself, such as neurofilament light chain, phosphorylated tau, amyloid-beta and alpha-synuclein. Abnormalities in these biomarkers in patients with sleep-wake disturbances are considered as evidence of an underlying neurodegenerative process. Levels of hormonal sleep-related biomarkers such as melatonin, cortisol and orexin are often abnormal in patients with clinical neurodegenerative diseases, but their relationships with the more standard neurodegenerative biomarkers remain unclear. Similarly, it is unclear whether other chronobiological/circadian biomarkers, such as disrupted clock gene expression, are causal factors or a consequence of neurodegeneration. Current data would suggest that a combination of fluid biomarkers may identify sleep-wake disturbances that are most predictive for the risk of developing neurodegenerative disease with more optimal sensitivity and specificity.
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Affiliation(s)
- Yue Yang
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia.
| | - Woojin Scott Kim
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia.
| | - Johannes C Michaelian
- Healthy Brain Ageing Program, School of Psychology, Brain and Mind Centre & The Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, Australia.
| | - Simon J G Lewis
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia; Parkinson's Disease Research Clinic, Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia.
| | - Craig L Phillips
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW 2109, Australia; Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia.
| | - Angela L D'Rozario
- Healthy Brain Ageing Program, School of Psychology, Brain and Mind Centre & The Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, Australia; CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW 2109, Australia.
| | - Pratishtha Chatterjee
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia; School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia.
| | - Ralph N Martins
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia; School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia; School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, WA 6009, Australia.
| | - Ron Grunstein
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW 2109, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.
| | - Glenda M Halliday
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia.
| | - Sharon L Naismith
- Healthy Brain Ageing Program, School of Psychology, Brain and Mind Centre & The Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, Australia.
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Li LC, Chen J, Zhu XB, Guo M, Chen Q, Fang HM, Kan LD. Trends of complications in patients with Parkinson's disease in seven major cities of China from 2016 to 2019. Int Clin Psychopharmacol 2021; 36:274-278. [PMID: 34102650 DOI: 10.1097/yic.0000000000000370] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Parkinson's disease (PD) is a neurological disorder involving both motor and nonmotor symptoms. Multimorbidity acts synergistically to heighten the risk of adverse outcomes for patients with PD. Its complications have a major impact on the clinical management of PD. The present retrospective and multicenter study was first performed to describe the epidemiological characteristics of PD patients and assess the incidence of complications. The outpatient prescriptions for PD therapy were collected from hospitals in Beijing, Chengdu, Guangzhou, Hangzhou, Shanghai, Tianjin and Zhengzhou of China over a 40-day period per year, from the first half of 2016 to that of 2019. The survey covered the characteristics and representative complications of the study population. A total of 103 674 outpatient prescriptions for PD treatment from different graded hospitals of China were collected for final data analysis. It showed that 78.15% of PD patients were prescribed in the neurology department. 95.05% of the outpatient prescriptions were from general hospitals. We found that the overall PD prevalence was 0.47%, among which 52.96% of them were men. In addition, 82.10% of PD suffers were older than 60 years and 83.70% of them had complications. The top five highest frequencies of nonmotor complications in PD patients were sleep disorders, Alzheimer's disease, depression, lower urinary tract symptoms and constipation, with the proportions of 6.79, 3.87, 3.72, 3.32 and 2.40%, respectively. Meanwhile, the proportions of sleep disorders, Alzheimer's disease, and constipation were gradually increasing from 2016 to 2019. The characteristics of PD patients and the incidence of its complications were evaluated in the present prescription survey. These updated data provide evidence for further implementation of PD management.
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Affiliation(s)
- Liu-Cheng Li
- Department of Pharmacy, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
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