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Giraldo-Berrio D, Mendivil-Perez M, Velez-Pardo C, Jimenez-Del-Rio M. Rotenone Induces a Neuropathological Phenotype in Cholinergic-like Neurons Resembling Parkinson's Disease Dementia (PDD). Neurotox Res 2024; 42:28. [PMID: 38842585 DOI: 10.1007/s12640-024-00705-3] [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: 11/16/2023] [Revised: 04/12/2024] [Accepted: 05/01/2024] [Indexed: 06/07/2024]
Abstract
Parkinson's disease with dementia (PDD) is a neurological disorder that clinically and neuropathologically overlaps with Parkinson's disease (PD) and Alzheimer's disease (AD). Although it is assumed that alpha-synuclein ( α -Syn), amyloid beta (A β ), and the protein Tau might synergistically induce cholinergic neuronal degeneration, presently the pathological mechanism of PDD remains unclear. Therefore, it is essential to delve into the cellular and molecular aspects of this neurological entity to identify potential targets for prevention and treatment strategies. Cholinergic-like neurons (ChLNs) were exposed to rotenone (ROT, 10 μ M) for 24 h. ROT provokes loss of Δ Ψ m , generation of reactive oxygen species (ROS), phosphorylation of leucine-rich repeated kinase 2 (LRRK2 at Ser935) concomitantly with phosphorylation of α -synuclein ( α -Syn, Ser129), induces accumulation of intracellular A β (iA β ), oxidized DJ-1 (Cys106), as well as phosphorylation of TAU (Ser202/Thr205), increases the phosphorylation of c-JUN (Ser63/Ser73), and increases expression of proapoptotic proteins TP53, PUMA, and cleaved caspase 3 (CC3) in ChLNs. These neuropathological features resemble those reproduced in presenilin 1 (PSEN1) E280A ChLNs. Interestingly, anti-oxidant and anti-amyloid cannabidiol (CBD), JNK inhibitor SP600125 (SP), TP53 inhibitor pifithrin- α (PFT), and LRRK2 kinase inhibitor PF-06447475 (PF475) significantly diminish ROT-induced oxidative stress (OS), proteinaceous, and cell death markers in ChLNs compared to naïve ChLNs. In conclusion, ROT induces p- α -Syn, iA β , p-Tau, and cell death in ChLNs, recapitulating the neuropathology findings in PDD. Our report provides an excellent in vitro model to test for potential therapeutic strategies against PDD. Our data suggest that ROT induces a neuropathologic phenotype in ChLNs similar to that caused by the mutation PSEN1 E280A.
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Affiliation(s)
- Daniela Giraldo-Berrio
- Neuroscience Research Group, Medical Research Institute, Faculty of Medicine, University of Antioquia (UdeA), Calle 70 No. 52-21, and Calle 62 # 52-59, Building 1, Room 412, Medellin, Antioquia, Colombia
| | - Miguel Mendivil-Perez
- Neuroscience Research Group, Medical Research Institute, Faculty of Medicine, University of Antioquia (UdeA), Calle 70 No. 52-21, and Calle 62 # 52-59, Building 1, Room 412, Medellin, Antioquia, Colombia
| | - Carlos Velez-Pardo
- Neuroscience Research Group, Medical Research Institute, Faculty of Medicine, University of Antioquia (UdeA), Calle 70 No. 52-21, and Calle 62 # 52-59, Building 1, Room 412, Medellin, Antioquia, Colombia.
| | - Marlene Jimenez-Del-Rio
- Neuroscience Research Group, Medical Research Institute, Faculty of Medicine, University of Antioquia (UdeA), Calle 70 No. 52-21, and Calle 62 # 52-59, Building 1, Room 412, Medellin, Antioquia, Colombia.
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Evolutionary and genomic perspectives of brain aging and neurodegenerative diseases. PROGRESS IN BRAIN RESEARCH 2023; 275:165-215. [PMID: 36841568 DOI: 10.1016/bs.pbr.2022.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
This chapter utilizes genomic concepts and evolutionary perspectives to further understand the possible links between typical brain aging and neurodegenerative diseases, focusing on the two most prevalent of these: Alzheimer's disease and Parkinson's disease. Aging is the major risk factor for these neurodegenerative diseases. Researching the evolutionary and molecular underpinnings of aging helps to reveal elements of the typical aging process that leave individuals more vulnerable to neurodegenerative pathologies. Very little is known about the prevalence and susceptibility of neurodegenerative diseases in nonhuman species, as only a few individuals have been observed with these neuropathologies. However, several studies have investigated the evolution of lifespan, which is closely connected with brain size in mammals, and insights can be drawn from these to enrich our understanding of neurodegeneration. This chapter explores the relationship between the typical aging process and the events in neurodegeneration. First, we examined how age-related processes can increase susceptibility to neurodegenerative diseases. Second, we assessed to what extent neurodegeneration is an accelerated form of aging. We found that while at the phenotypic level both neurodegenerative diseases and the typical aging process share some characteristics, at the molecular level they show some distinctions in their profiles, such as variation in genes and gene expression. Furthermore, neurodegeneration of the brain is associated with an earlier onset of cellular, molecular, and structural age-related changes. In conclusion, a more integrative view of the aging process, both from a molecular and an evolutionary perspective, may increase our understanding of neurodegenerative diseases.
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Guo Z, Meng R, Zheng Y, Li X, Zhou Z, Yu L, Tang Q, Zhao Y, Garcia M, Yan Y, Song M, Balmer L, Wen J, Hou H, Tan X, Wang W. Translation and cross-cultural validation of a precision health tool, the Suboptimal Health Status Questionnaire-25, in Korean. J Glob Health 2022; 12:04077. [PMID: 36181723 PMCID: PMC9526479 DOI: 10.7189/jogh.12.04077] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Suboptimal health status (SHS) is a reversible stage between health and illness that is characterized by health complaints, low energy, general weakness, and chronic fatigue. The Suboptimal Health Status Questionnaire-25 (SHSQ-25) has been validated in three major populations (African, Asian, and Caucasian) and is internationally recognized as a reliable and robust tool for health estimation in general populations. This study focused on the development of K-SHSQ-25, a Korean version of the SHSQ-25, from its English version. METHODS The SHSQ-25 was translated from English to Korean according to international guidelines set forth by the World Health Organization (WHO) for health instrument translation between different languages. A subsequent cross-sectional survey involved 460 healthy South Korean participants (aged 18-83 years; 65.4% females) to answer the 25 questions focusing on the health perspectives of 5 domains, 1) fatigue, 2) cardiovascular health, 3) digestive tract, 4) immune system and 5) mental health. The K-SHSQ-25 was further validated using tests for reliability, internal consistency, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA). RESULTS The version of K-SHSQ-25 achieved linguistic, cultural, and conceptual equivalence to the English version. The intraclass correlation coefficient (ICC) of test-retest reliability for individual items ranged from 0.88 to 0.99. Reliability estimates based on internal consistency reached a Cronbach's α of 0.953; the Cronbach's α for each domain ranged from 0.76 to 0.94. Regarding construct validity, the EFA of the K-SHSQ-25 generally replicated the multidimensional structure (fatigue, cardiovascular, digestive, immune system, and mental health) and 25 questions. The CFA revealed that the root mean square error of approximation (RMSEA), goodness-of-fit index (GFI) and adjusted goodness of fit index (AGFI) were excellent (RMSEA = 0.069<0.08, GFI = 0.929>0.90, AGFI = 0.907>0.90). The five domains of the K-SHSQ-25 showed significant correlations with each other (r = 0.59-0.81, P<0.001). The cut-off point of K-SHSQ-25 for SHS was determined as an SHS score of 25. The prevalence of SHS in this study was 60.0% (276/460), with 47.8% (76/159) for males and 58.5% for females (176/301). CONCLUSIONS Our results indicate that the Korean version of SHSQ-25, K-SHSQ-25, is a transcultural equivalent, robust, valid, and reliable assessment tool for evaluating SHS in the Korean-speaking population.
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Affiliation(s)
- Zheng Guo
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- The Nathan Centre, Joondalup, Western Australia, Australia
| | - Ruoyu Meng
- Department of Physiology, Institute of Medical Science, Jeonbuk National University Medical School, Jeonju, Korea
| | - Yulu Zheng
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- The Nathan Centre, Joondalup, Western Australia, Australia
| | - Xingang Li
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- The Nathan Centre, Joondalup, Western Australia, Australia
| | - Ziqi Zhou
- Department of Herbology, School of Korean Medicine, Wonkwang University, Jeonbuk, Korea
| | - Leilei Yu
- Department of Endocrinology, Taian City Central Hospital, Taian, China
| | - Qian Tang
- Department of Obstetrics, Tengzhou People's Central Hospital, Tengzhou, China
| | - Ying Zhao
- School of Foreign Languages, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, China
| | - Monique Garcia
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- The Nathan Centre, Joondalup, Western Australia, Australia
| | - Yuxiang Yan
- School of Foreign Languages, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, China
| | - Manshu Song
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Lois Balmer
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- Department of Physiology, Institute of Medical Science, Jeonbuk National University Medical School, Jeonju, Korea
| | - Jun Wen
- School of Business and Law, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Haifeng Hou
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Public Health, Shandong First Medical University &
- Shandong Academy of Medical Sciences, Taian, Shandong, China
| | - Xuerui Tan
- The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Wei Wang
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- The Nathan Centre, Joondalup, Western Australia, Australia
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, China
- The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Joondalup, Western Australia, Australia
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Wang W, Yan Y, Guo Z, Hou H, Garcia M, Tan X, Anto EO, Mahara G, Zheng Y, Li B, Kang T, Zhong Z, Wang Y, Guo X, Golubnitschaja O. All around suboptimal health - a joint position paper of the Suboptimal Health Study Consortium and European Association for Predictive, Preventive and Personalised Medicine. EPMA J 2021; 12:403-433. [PMID: 34539937 PMCID: PMC8435766 DOI: 10.1007/s13167-021-00253-2] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 08/25/2021] [Indexed: 02/07/2023]
Abstract
First two decades of the twenty-first century are characterised by epidemics of non-communicable diseases such as many hundreds of millions of patients diagnosed with cardiovascular diseases and the type 2 diabetes mellitus, breast, lung, liver and prostate malignancies, neurological, sleep, mood and eye disorders, amongst others. Consequent socio-economic burden is tremendous. Unprecedented decrease in age of maladaptive individuals has been reported. The absolute majority of expanding non-communicable disorders carry a chronic character, over a couple of years progressing from reversible suboptimal health conditions to irreversible severe pathologies and cascading collateral complications. The time-frame between onset of SHS and clinical manifestation of associated disorders is the operational area for an application of reliable risk assessment tools and predictive diagnostics followed by the cost-effective targeted prevention and treatments tailored to the person. This article demonstrates advanced strategies in bio/medical sciences and healthcare focused on suboptimal health conditions in the frame-work of Predictive, Preventive and Personalised Medicine (3PM/PPPM). Potential benefits in healthcare systems and for society at large include but are not restricted to an improved life-quality of major populations and socio-economical groups, advanced professionalism of healthcare-givers and sustainable healthcare economy. Amongst others, following medical areas are proposed to strongly benefit from PPPM strategies applied to the identification and treatment of suboptimal health conditions:Stress overload associated pathologiesMale and female healthPlanned pregnanciesPeriodontal healthEye disordersInflammatory disorders, wound healing and pain management with associated complicationsMetabolic disorders and suboptimal body weightCardiovascular pathologiesCancersStroke, particularly of unknown aetiology and in young individualsSleep medicineSports medicineImproved individual outcomes under pandemic conditions such as COVID-19.
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Affiliation(s)
- Wei Wang
- Centre for Precision Health, Edith Cowan University, Perth, Australia
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an, China
- First Affiliated Hospital, Shantou University Medical College, Shantou, China
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Yuxiang Yan
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Zheng Guo
- Centre for Precision Health, Edith Cowan University, Perth, Australia
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Haifeng Hou
- Centre for Precision Health, Edith Cowan University, Perth, Australia
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an, China
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Monique Garcia
- Centre for Precision Health, Edith Cowan University, Perth, Australia
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Xuerui Tan
- First Affiliated Hospital, Shantou University Medical College, Shantou, China
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Enoch Odame Anto
- Centre for Precision Health, Edith Cowan University, Perth, Australia
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
- Department of Medical Diagnostics, College of Health Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Gehendra Mahara
- First Affiliated Hospital, Shantou University Medical College, Shantou, China
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Yulu Zheng
- Centre for Precision Health, Edith Cowan University, Perth, Australia
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Bo Li
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
- School of Nursing and Health, Henan University, Kaifeng, China
| | - Timothy Kang
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
- Institute of Chinese Acuology, Perth, Australia
| | - Zhaohua Zhong
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
- School of Basic Medicine, Harbin Medical University, Harbin, China
| | - Youxin Wang
- Centre for Precision Health, Edith Cowan University, Perth, Australia
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- Department of Medical Diagnostics, College of Health Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Xiuhua Guo
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Olga Golubnitschaja
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
- Predictive, Preventive and Personalised (3P) Medicine, Department of Radiation Oncology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - On Behalf of Suboptimal Health Study Consortium and European Association for Predictive, Preventive and Personalised Medicine
- Centre for Precision Health, Edith Cowan University, Perth, Australia
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an, China
- First Affiliated Hospital, Shantou University Medical College, Shantou, China
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
- Department of Medical Diagnostics, College of Health Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
- School of Nursing and Health, Henan University, Kaifeng, China
- Institute of Chinese Acuology, Perth, Australia
- School of Basic Medicine, Harbin Medical University, Harbin, China
- Predictive, Preventive and Personalised (3P) Medicine, Department of Radiation Oncology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
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Wang C, Fu W, Cao S, Jiang H, Guo Y, Xv H, Liu J, Gan Y, Lu Z. Weight Loss and the Risk of Dementia: A Meta-analysis of Cohort Studies. Curr Alzheimer Res 2021; 18:125-135. [PMID: 33855945 DOI: 10.2174/1567205018666210414112723] [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: 02/03/2020] [Revised: 02/18/2021] [Accepted: 04/06/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND Weight loss is a common phenomenon among the elderly and is identified as an important indicator of health status. Many epidemiology studies have investigated the association between weight loss and dementia, but the results were inconsistent. OBJECTIVE To examine and determine the association between weight loss and the risk of dementia. METHODS Eligible cohort studies involving weight loss and dementia were searched from PubMed, Embase, and Ovid databases through October 2018. Pooled relative risks (RRs) with its 95% confidence intervals (CIs) were used to estimate the effects of weight loss on the risk of dementia. Subgroup and sensitivity analyses were performed to explore the potential sources of heterogeneity. The Begg's test and Egger's test were used to assess the publication bias. RESULTS A total of 20 cohort studies with 38,141 participants were included in this meta-analysis. Weight loss was significantly associated with the risk of dementia (RR=1.26, 95% CI=1.15-1.38). BMI decline ≥0.8 units (RR=1.31, 95% CI=1.10-1.56) and ≥4% (RR=1.19, 95% CI=1.03-1.38) could increase the risk of dementia. The risk of all-cause dementia for people with weight loss increased by 31% (RR=1.31, 95% CI=1.15-1.49), and 25% higher for incident Alzheimer's disease (RR=1.25, 95% CI=1.07-1.46). Weight loss in participants with normal weight had a similar dementia risk (RR=1.21, 95% CI=1.06-1.38) with the overweight individuals (RR=1.22, 95% CI=1.11-1.34). CONCLUSION Weight loss may be associated with an increased risk of dementia, especially for Alzheimer's disease. Maintaining weight stability may help prevent dementia.
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Affiliation(s)
- Chao Wang
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wenning Fu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shiyi Cao
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Heng Jiang
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia
| | - Yingying Guo
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hongbin Xv
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jianxin Liu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yong Gan
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zuxun Lu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Wang X, Zhong Z, Balmer L, Wang W. Glycosylation Profiling as a Biomarker of Suboptimal Health Status for Chronic Disease Stratification. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1325:321-339. [PMID: 34495543 DOI: 10.1007/978-3-030-70115-4_16] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
WHO defines health as "a state of complete physical, mental, and social well-being and not merely the absence of disease or infirmity." We coined and defined suboptimal health status (SHS) as a subclinical, reversible stage of the pre-chronic disease. SHS is a physical state between health and disease, characterized by health complaints, general weakness, chronic fatigue, and low energy levels. We have developed an instrument to measure SHS, Suboptimal Health Status Questionnaire-25 (SHSQ-25), a self-reported survey assessing five health components that has been validated in various ethnical populations. Our studies suggest that SHS is associated with the major components of cardiovascular health and the early onset of metabolic diseases. Besides subjective measure of health (SHS), glycans are conceived as objective biomarkers of SHS. Glycans are complex and branching carbohydrate moieties attached to proteins, participating in inflammatory regulation and chronic disease pathogenesis. We have been investigating the role of glycans and SHS in multiple cardiometabolic diseases in different ethnical populations (African, Chinese, and Caucasian). Here we present case studies to prove that a combination of subjective health measure (SHS) with objective health measure (glycans) represents a window of opportunity to halt or reverse the progression of chronic diseases.
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Affiliation(s)
- Xueqing Wang
- School of Health and Medical Sciences, Edith Cowan University, Perth, Australia
- College of Basic Medical Sciences, Harbin Medical University, Harbin, China
| | - Zhaohua Zhong
- College of Basic Medical Sciences, Harbin Medical University, Harbin, China
| | - Lois Balmer
- School of Health and Medical Sciences, Edith Cowan University, Perth, Australia
| | - Wei Wang
- School of Health and Medical Sciences, Edith Cowan University, Perth, Australia.
- Centre for Precision Health, ECU Strategic Research Centre, Edith Cowan University, Perth, Australia.
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China.
- First Affiliated Hospital, Shantou University Medical College, Shantou, China.
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Behavioral defects associated with amygdala and cortical dysfunction in mice with seeded α-synuclein inclusions. Neurobiol Dis 2019; 134:104708. [PMID: 31837424 PMCID: PMC7206936 DOI: 10.1016/j.nbd.2019.104708] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 11/20/2019] [Accepted: 12/08/2019] [Indexed: 12/20/2022] Open
Abstract
Parkinson’s disease (PD) is defined by motor symptoms such as tremor at rest, bradykinesia, postural instability, and stiffness. In addition to the classical motor defects that define PD, up to 80% of patients experience cognitive changes and psychiatric disturbances, referred to as PD dementia (PDD). Pathologically, PD is characterized by loss of dopaminergic neurons in the substantia nigra pars compacta (SNpc) and intracellular inclusions, called Lewy bodies and Lewy neurites, composed mostly of α-synuclein. Much of PD research has focused on the role of α-synuclein aggregates in degeneration of SNpc dopamine neurons because of the impact of loss of striatal dopamine on the classical motor phenotypes. However, abundant Lewy pathology is also found in other brain regions including the cortex and limbic brain regions such as the amygdala, which may contribute to non-motor phenotypes. Little is known about the consequences of α-synuclein inclusions in these brain regions, or in neuronal subtypes other than dopamine neurons. This project expands knowledge on how α-synuclein inclusions disrupt behavior, specifically non-motor symptoms of synucleinopathies. We show that bilateral injections of fibrils into the striatum results in robust bilateral α-synuclein inclusion formation in the cortex and amygdala. Inclusions in the amygdala and prefrontal cortex primarily localize to excitatory neurons, but unbiased stereology shows no significant loss of neurons in the amygdala or cortex. Fibril injected mice show defects in a social dominance behavioral task and fear conditioning, tasks that are associated with prefrontal cortex and amygdala function. Together, these observations suggest that seeded α-synuclein inclusion formation impairs behaviors associated with cortical and amygdala function, without causing cell loss, in brain areas that may play important roles in the complex cognitive features of PDD
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Agnihotri A, Aruoma OI. Alzheimer’s Disease and Parkinson’s Disease: A Nutritional Toxicology Perspective of the Impact of Oxidative Stress, Mitochondrial Dysfunction, Nutrigenomics and Environmental Chemicals. J Am Coll Nutr 2019; 39:16-27. [DOI: 10.1080/07315724.2019.1683379] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
| | - Okezie I. Aruoma
- Department of Chemistry and Biochemistry, College of Natural and Social Sciences, California State University Los Angeles, Los Angeles, California, USA
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Liu CC, Sun Y, Lee PC, Li CY, Hu SC. Risk of dementia after Parkinson's disease in Taiwan: a population-based retrospective cohort study using National Health Insurance claims. BMJ Open 2019; 9:e025274. [PMID: 30833322 PMCID: PMC6443071 DOI: 10.1136/bmjopen-2018-025274] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVES A nationwide cohort study on the risk of dementia onset after first diagnosis of Parkinson's disease (PD) is lacking. This study aims to assess 11 years of incidence and the HRs for developing dementia in patients with PD compared with matched controls. DESIGN A population-based cohort study. SETTING National Health Insurance database in Taiwan. PARTICIPANTS A total of 5932 patients with PD were identified, and 29 645 age-matched, sex-matched and index year-matched PD-free individuals were randomly selected. OUTCOME MEASURES All subjects were linked to the claim data to identify the first diagnosis of dementia. The Poisson assumption was used to estimate the incidence rate. Cause-specific hazards models with a partitioning of time at 1 year to account for proportionality were used to estimate the risk of dementia onset. RESULTS The median duration from the first diagnosis of PD to the development of dementia was 9.02 years. In the first partition (≦ 1 year), the incidence of dementia in the PD and control groups was 114.49 and 9.76 per 1000 person-years, respectively, with an adjusted HR of 6.43 (95% CI 5.46 to 7.57). In the second partition (>1 year), the incidence of dementia in the PD and control groups was 30.99 and 10.83 per 1000 person-years, with an adjusted HR of 2.42 (95% CI 2.23 to 2.61). Notably, in the second partition, both men and women aged <70 years had the highest HR (3.82, 95% CI 2.79 to 5.22 and 4.27, 95% CI 3.25 to 5.63, respectively). CONCLUSIONS This study noted an increased risk of dementia after a diagnosis of PD. The magnitude of effect estimation was higher in men in the first partition but was similar in both genders in the second partition. PD patients aged <70 years have the highest risk of dementia in any given partition time.
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Affiliation(s)
- Chih-Ching Liu
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yu Sun
- Department of Neurology, En Chu Kong Hospital, New Taipei City, Taiwan
| | - Pei-Chen Lee
- Department of Health Care Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan
| | - Chung-Yi Li
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan
| | - Susan C Hu
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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Ahmad K, Baig MH, Mushtaq G, Kamal MA, Greig NH, Choi I. Commonalities in Biological Pathways, Genetics, and Cellular Mechanism between Alzheimer Disease and Other Neurodegenerative Diseases: An In Silico-Updated Overview. Curr Alzheimer Res 2018; 14:1190-1197. [PMID: 28164765 DOI: 10.2174/1567205014666170203141151] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2016] [Revised: 12/07/2016] [Accepted: 01/30/2016] [Indexed: 12/29/2022]
Abstract
BACKGROUND Alzheimer's disease (AD) is the most common and well-studied neurodegenerative disease (ND). Biological pathways, pathophysiology and genetics of AD show commonalities with other NDs viz. Parkinson's disease (PD), Amyotrophic lateral sclerosis (ALS), Huntington's disease (HD), Prion disease and Dentatorubral-pallidoluysian atrophy (DRPLA). Many of the NDs, sharing the common features and molecular mechanisms suggest that pathology may be directly comparable and be implicated in disease prevention and development of highly effective therapies. METHOD In this review, a brief description of pathophysiology, clinical symptoms and available treatment of various NDs have been explored with special emphasis on AD. Commonalities in these fatal NDs provide support for therapeutic advancements and enhance the understanding of disease manifestation. CONCLUSION The studies concentrating on the commonalities in biological pathways, cellular mechanisms and genetics may provide the scope to researchers to identify few novel common target(s) for disease prevention and development of effective common drugs for multi-neurodegenerative diseases.
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Affiliation(s)
- Khurshid Ahmad
- Department of Medical Biotechnology, Yeungnam University, Gyeongsan. Korea
| | - Mohammad Hassan Baig
- Department of Medical Biotechnology, Yeungnam University, 280 Daehak-ro, Gyeongsan, Gyeongbuk 712-749. Korea
| | - Gohar Mushtaq
- Department of Biochemistry, College of Science, King Abdulaziz University, Jeddah 21589. Saudi Arabia
| | - Mohammad Amjad Kamal
- King Fahd Medical Research Centre, King Abdulaziz University, P.O. Box 80216, Jeddah 21589. Saudi Arabia
| | - Nigel H Greig
- Drug Design & Development Section, Translational Gerontology Branch, Intramural Research Program, National, Institute on Aging, National Institutes of Health, Biomedical Research Center, 251 Bayview Boulevard, Baltimore, MD 21224. United States
| | - Inho Choi
- Department of Medical Biotechnology, Yeungnam University, 280 Daehak-ro, Gyeongsan, Gyeongbuk 712-749. Korea
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Carradori S, Ortuso F, Petzer A, Bagetta D, De Monte C, Secci D, De Vita D, Guglielmi P, Zengin G, Aktumsek A, Alcaro S, Petzer JP. Design, synthesis and biochemical evaluation of novel multi-target inhibitors as potential anti-Parkinson agents. Eur J Med Chem 2018; 143:1543-1552. [DOI: 10.1016/j.ejmech.2017.10.050] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Revised: 10/11/2017] [Accepted: 10/16/2017] [Indexed: 01/04/2023]
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12
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Redenšek S, Dolžan V, Kunej T. From Genomics to Omics Landscapes of Parkinson's Disease: Revealing the Molecular Mechanisms. OMICS : A JOURNAL OF INTEGRATIVE BIOLOGY 2018; 22:1-16. [PMID: 29356624 PMCID: PMC5784788 DOI: 10.1089/omi.2017.0181] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Molecular mechanisms of Parkinson's disease (PD) have already been investigated in various different omics landscapes. We reviewed the literature about different omics approaches between November 2005 and November 2017 to depict the main pathological pathways for PD development. In total, 107 articles exploring different layers of omics data associated with PD were retrieved. The studies were grouped into 13 omics layers: genomics-DNA level, transcriptomics, epigenomics, proteomics, ncRNomics, interactomics, metabolomics, glycomics, lipidomics, phenomics, environmental omics, pharmacogenomics, and integromics. We discussed characteristics of studies from different landscapes, such as main findings, number of participants, sample type, methodology, and outcome. We also performed curation and preliminary synthesis of multiple omics data, and identified overlapping results, which could lead toward selection of biomarkers for further validation of PD risk loci. Biomarkers could support the development of targeted prognostic/diagnostic panels as a tool for early diagnosis and prediction of progression rate and prognosis. This review presents an example of a comprehensive approach to revealing the underlying processes and risk factors of a complex disease. It urges scientists to structure the already known data and integrate it into a meaningful context.
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Affiliation(s)
- Sara Redenšek
- Pharmacogenetics Laboratory, Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Vita Dolžan
- Pharmacogenetics Laboratory, Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Tanja Kunej
- Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia
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Russell AC, Šimurina M, Garcia MT, Novokmet M, Wang Y, Rudan I, Campbell H, Lauc G, Thomas MG, Wang W. The N-glycosylation of immunoglobulin G as a novel biomarker of Parkinson's disease. Glycobiology 2017; 27:501-510. [DOI: 10.1093/glycob/cwx022] [Citation(s) in RCA: 101] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2016] [Accepted: 02/21/2017] [Indexed: 12/11/2022] Open
Affiliation(s)
- Alyce C Russell
- School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA 6027, Australia
- Parkinson's Centre, School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA 6027, Australia
| | - Mirna Šimurina
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovačića 1, 10000, Zagreb, Croatia
| | - Monique T Garcia
- School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA 6027, Australia
| | - Mislav Novokmet
- Genos Glycoscience Research Laboratory, Hondlova 2/11, I.V. kat, 10000, Zagreb, Croatia
| | - Youxin Wang
- Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Fengtai Qu, Beijing Shi, 100054, China
| | - Igor Rudan
- Centre for Global Health Research, The Usher Institute, University of Edinburgh, 9 Little France Road, Edinburgh, EH16 4UX, UK
| | - Harry Campbell
- Centre for Global Health Research, The Usher Institute, University of Edinburgh, 9 Little France Road, Edinburgh, EH16 4UX, UK
| | - Gordan Lauc
- School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA 6027, Australia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovačića 1, 10000, Zagreb, Croatia
- Genos Glycoscience Research Laboratory, Hondlova 2/11, I.V. kat, 10000, Zagreb, Croatia
| | - Meghan G Thomas
- Parkinson's Centre, School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA 6027, Australia
| | - Wei Wang
- School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA 6027, Australia
- Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Fengtai Qu, Beijing Shi, 100054, China
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Mason DM, Nouraei N, Pant DB, Miner KM, Hutchison DF, Luk KC, Stolz JF, Leak RK. Transmission of α-synucleinopathy from olfactory structures deep into the temporal lobe. Mol Neurodegener 2016; 11:49. [PMID: 27363576 PMCID: PMC4929736 DOI: 10.1186/s13024-016-0113-4] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Accepted: 06/14/2016] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND α-synucleinopathy emerges quite early in olfactory structures such as the olfactory bulb and anterior olfactory nucleus (OB/AON) in Parkinson's disease. This may contribute to smell impairments years before the commencement of motor symptoms. We tested whether α-synucleinopathy can spread from the OB/AON to regions of the limbic telencephalon that harbor connections with olfactory structures. FINDINGS α-synuclein fibrils were infused into the OB/AON. Inclusions containing pathologically phosphorylated α-synuclein (pSer129) were observed three months later in the piriform and entorhinal cortices, amygdala, and hippocampal formation. The retrograde tract-tracer FluoroGold confirmed the existence of first-order afferents at these sites. Some sites harbored FluoroGold(+) neurons but no inclusions, suggestive of selective vulnerabilities. Multiple areas close to the injection site but not connected with the OB/AON remained free of inclusions, suggesting a lack of widespread uptake of fibrils from interstitial diffusion. Two independent pSer129 antibodies revealed the same labeling patterns and preadsorption control experiments confirmed a loss of pSer129 staining. Dense total α-synuclein (but not pSer129) staining was apparent in the OB/AON 1.5 h following fibril infusions, suggesting that pSer129(+) staining did not reflect exogenously infused material. Waterbath sonication of fibrils for 1 h improved α-synucleinopathy transmission relative to 1 min-long probe sonication. Electron microscopy revealed that longer sonication durations reduced fibril size. The Thioflavin stain labeled cells at the infusion site and some, but not all inclusions contained ubiquitin. Three-dimensional confocal analyses revealed that many inclusions ensconced NeuN(+) neuronal nuclei. Young and aged mice exhibited similar topographical spread of α-synucleinopathy. CONCLUSIONS 1) α-synucleinopathy in this model is transmitted through some, but not all neuroanatomical connections, 2) pathology is largely confined to first-order afferent sites at three months and this is most parsimoniously explained by retrograde transport, and 3) transmission in aged animals is largely similar to that in young control animals at three months post-infusion.
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Affiliation(s)
- Daniel M. Mason
- />Division of Pharmaceutical Sciences, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15282 USA
| | - Negin Nouraei
- />Division of Pharmaceutical Sciences, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15282 USA
| | - Deepti B. Pant
- />Division of Pharmaceutical Sciences, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15282 USA
| | - Kristin M. Miner
- />Division of Pharmaceutical Sciences, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15282 USA
| | - Daniel F. Hutchison
- />Division of Pharmaceutical Sciences, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15282 USA
| | - Kelvin C. Luk
- />Department of Pathology, University of Pennsylvania, Philadelphia, PA 19147 USA
| | - John F. Stolz
- />Department of Biological Sciences, Duquesne University, Pittsburgh, PA 15282 USA
| | - Rehana K. Leak
- />Division of Pharmaceutical Sciences, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15282 USA
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Barichella M, Pinelli G, Iorio L, Cassani E, Valentino A, Pusani C, Ferri V, Bolliri C, Pasqua M, Pezzoli G, Frazzitta G, Cereda E. Sarcopenia and Dynapenia in Patients With Parkinsonism. J Am Med Dir Assoc 2016; 17:640-6. [PMID: 27143236 DOI: 10.1016/j.jamda.2016.03.016] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Revised: 03/23/2016] [Accepted: 03/24/2016] [Indexed: 01/06/2023]
Abstract
OBJECTIVES To estimate prevalence of sarcopenia and dynapenia in outpatients with Parkinson disease (PD) and to investigate their association with the features of the disease. DESIGN Cross-sectional study. SETTING A specialized tertiary care center. PARTICIPANTS Consecutive patients (n = 364) aged 65 years or older, affected by parkinsonian syndromes. MEASUREMENTS Skeletal muscle mass (SMM), as well as strength and gait speed (GS) were assessed by bioimpedence analysis, handgrip dynamometry, and the 4-meter walking test, respectively. Based on these assessments, sarcopenia was diagnosed using the European Working Group on Sarcopenia in Older People criteria. Dynapenia was defined as handgrip strength less than 30 kg in men and less than 20 kg in women. RESULTS In total, 235 patients (64.6%) had a diagnosis of idiopathic PD. Low SMM index was recorded in 27 patients. Due to gait disturbances and postural instability, GS could not be measured in 98 patients and was found to be reduced in 61.3% of those assessed. Prevalence of sarcopenia and dynapenia was 6.6% (95% confidence interval [CI] 4.3-9.7) and 75.5% (95% CI 70.8-79.9), respectively. Sarcopenia tended to be higher in patients unable to perform GS assessment and was unrelated to the type of parkinsonian syndrome. It was associated with older age, longer disease duration, more severe disease, and higher disability in activities of daily living, as assessed by disease-specific clinical rating scale. Dynapenia was directly associated with parkinsonism other than PD, older age, and disability, whereas regular physical therapy appeared to be a preventive factor. However, it was unrelated to disease duration and severity. Finally, the disability score of activities of daily living was inversely correlated with handgrip strength and GS, whereas no association was found with SMM index. CONCLUSION Being primarily motor disorders, parkinsonian syndromes are characterized by progressive disability in performing activities of daily living. Impaired functional status is a prominent feature of this patient population, independently of disease duration and severity. Sarcopenia is mainly related to advancing disease and, due to a significant sparing of SMM, is an infrequent condition, likely to play a minor role in disability. Several factors could be responsible for this favorable body composition (eg, motor symptoms, levodopa therapy) and deserve further investigation. The prognostic impact of sarcopenia also needs to be addressed.
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Affiliation(s)
| | - Giovanna Pinelli
- Parkinson Institute, ASST G.Pini-CTO, ex ICP, Milan, Italy; Department of Brain Injury and Parkinson Disease, Rehabilitation "Moriggia-Pelascini" Hospital Gravedona ed Uniti, Como, Italy
| | - Laura Iorio
- Parkinson Institute, ASST G.Pini-CTO, ex ICP, Milan, Italy
| | - Erica Cassani
- Parkinson Institute, ASST G.Pini-CTO, ex ICP, Milan, Italy
| | | | - Chiara Pusani
- Parkinson Institute, ASST G.Pini-CTO, ex ICP, Milan, Italy
| | | | | | | | - Gianni Pezzoli
- Parkinson Institute, ASST G.Pini-CTO, ex ICP, Milan, Italy
| | - Giuseppe Frazzitta
- Department of Brain Injury and Parkinson Disease, Rehabilitation "Moriggia-Pelascini" Hospital Gravedona ed Uniti, Como, Italy
| | - Emanuele Cereda
- Nutrition and Dietetics Service, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
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Wang JW, Zhang YQ, Zhang XH, Wang YP, Li JP, Li YJ. Cognitive and Psychiatric Effects of STN versus GPi Deep Brain Stimulation in Parkinson's Disease: A Meta-Analysis of Randomized Controlled Trials. PLoS One 2016; 11:e0156721. [PMID: 27248139 PMCID: PMC4889151 DOI: 10.1371/journal.pone.0156721] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 05/18/2016] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Deep brain stimulation (DBS) of either the subthalamic nucleus (STN) or the globus pallidus interna (GPi) can reduce motor symptoms in patients with Parkinson's disease (PD) and improve their quality of life. However, the effects of STN DBS and GPi DBS on cognitive functions and their psychiatric effects remain controversial. The present meta-analysis was therefore performed to clarify these issues. METHODS We searched the PUBMED, EMBASE, and the Cochrane Central Register of Controlled Trials databases. Other sources, including internet-based clinical trial registries and grey literature sources, were also searched. After searching the literature, two investigators independently performed literature screens to assess the quality of the included trials and to extract the data. The outcomes included the effects of STN DBS and GPi DBS on multiple cognitive domains, depression, anxiety, and quality of life. RESULTS Seven articles related to four randomized controlled trials that included 521 participants were incorporated into the present meta-analysis. Compared with GPi DBS, STN DBS was associated with declines in selected cognitive domains after surgery, including attention, working memory and processing speed, phonemic fluency, learning and memory, and global cognition. However, there were no significant differences in terms of quality of life or psychiatric effects, such as depression and anxiety, between the two groups. CONCLUSIONS A selective decline in frontal-subcortical cognitive functions is observed after STN DBS in comparison with GPi DBS, which should not be ignored in the target selection for DBS treatment in PD patients. In addition, compared to GPi DBS, STN DBS does not affect depression, anxiety, and quality of life.
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Affiliation(s)
- Jia-Wei Wang
- Beijing Institute of Functional Neurosurgery, Department of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, P.R. China
| | - Yu-Qing Zhang
- Beijing Institute of Functional Neurosurgery, Department of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, P.R. China
| | - Xiao-Hua Zhang
- Beijing Institute of Functional Neurosurgery, Department of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, P.R. China
| | - Yun-Peng Wang
- Beijing Institute of Functional Neurosurgery, Department of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, P.R. China
| | - Ji-Ping Li
- Beijing Institute of Functional Neurosurgery, Department of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, P.R. China
| | - Yong-Jie Li
- Beijing Institute of Functional Neurosurgery, Department of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, P.R. China
- * E-mail:
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