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Li X, Zeng Z. Exploring the link between estimated glucose disposal rate and Parkinson's disease: cross-sectional and mortality analysis of NHANES 2003-2016. Front Aging Neurosci 2025; 17:1548020. [PMID: 40256390 PMCID: PMC12006106 DOI: 10.3389/fnagi.2025.1548020] [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: 12/19/2024] [Accepted: 03/14/2025] [Indexed: 04/22/2025] Open
Abstract
Objectives To investigate the association between estimated glucose disposal rate (eGDR), a surrogate marker of insulin resistance, and Parkinson's disease (PD) risk, and to examine the relationship between eGDR and all-cause mortality among PD patients. Methods Using data from the National Health and Nutrition Examination Survey (NHANES) 2003-2016, we conducted a cross-sectional study of 20,767 participants aged ≥40 years. eGDR was calculated using waist circumference, hypertension status, and HbA1c levels. PD cases were identified through anti-parkinsonian medication use. The association between eGDR and PD was examined using weighted logistic regression models with progressive adjustment for potential confounders. Survival analysis was performed in 255 PD patients to assess the relationship between eGDR and all-cause mortality. Results Among participants, 256 had PD (weighted prevalence: 1.23%). Higher eGDR was associated with lower odds of PD in crude analysis (OR: 0.906, 95% CI: 0.856-0.960, P < 0.001). After full adjustment, the highest eGDR tertile showed significantly lower odds of PD compared to the lowest tertile (OR: 0.574, 95% CI: 0.337-0.976, P = 0.040). Restricted cubic spline analysis revealed a significant M-shaped non-linear relationship between eGDR and PD risk (P for non-linearity < 0.001). In survival analysis, higher eGDR was associated with lower mortality risk (adjusted HR: 0.875, 95% CI: 0.775-0.987, P = 0.030), with an inverted U-shaped relationship observed (P for non-linearity = 0.0352). Conclusion Higher eGDR levels are associated with lower PD risk and better survival in PD patients, suggesting that insulin sensitivity might play a role in PD pathogenesis and progression. These findings highlight the potential importance of metabolic health in PD.
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Affiliation(s)
- Xiaoting Li
- Department of Neurology, Panyu Hexian Memorial Affiliated Hospital of Guangzhou, Guangzhou, China
| | - Zhaohao Zeng
- Department of Neurology, Shenzhen People’s Hospital (The First Affiliated Hospital, Southern University of Science and Technology, The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, China
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
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Shi C, Ma D, Li M, Wang Z, Hao C, Liang Y, Feng Y, Hu Z, Hao X, Guo M, Li S, Zuo C, Sun Y, Tang M, Mao C, Zhang C, Xu Y, Sun S. Identifying potential causal effects of Parkinson's disease: A polygenic risk score-based phenome-wide association and mendelian randomization study in UK Biobank. NPJ Parkinsons Dis 2024; 10:166. [PMID: 39242620 PMCID: PMC11379879 DOI: 10.1038/s41531-024-00780-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 08/20/2024] [Indexed: 09/09/2024] Open
Abstract
There is considerable uncertainty regarding the associations between various risk factors and Parkinson's Disease (PD). This study systematically screened and validated a wide range of potential PD risk factors from 502,364 participants in the UK Biobank. Baseline data for 1851 factors across 11 categories were analyzed through a phenome-wide association study (PheWAS). Polygenic risk scores (PRS) for PD were used to diagnose Parkinson's Disease and identify factors associated with PD diagnosis through PheWAS. Two-sample Mendelian randomization (MR) analysis was employed to assess causal relationships. PheWAS results revealed 267 risk factors significantly associated with PD-PRS among the 1851 factors, and of these, 27 factors showed causal evidence from MR analysis. Compelling evidence suggests that fluid intelligence score, age at first sexual intercourse, cereal intake, dried fruit intake, and average total household income before tax have emerged as newly identified risk factors for PD. Conversely, maternal smoking around birth, playing computer games, salt added to food, and time spent watching television have been identified as novel protective factors against PD. The integration of phenotypic and genomic data may help to identify risk factors and prevention targets for PD.
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Affiliation(s)
- Changhe Shi
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China.
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China.
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China.
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China.
| | - Dongrui Ma
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
| | - Mengjie Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhiyun Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
| | - Chenwei Hao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
| | - Yuanyuan Liang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
| | - Yanmei Feng
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhengwei Hu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaoyan Hao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
| | - Mengnan Guo
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
| | - Shuangjie Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
| | - Chunyan Zuo
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
| | - Yuemeng Sun
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
| | - Mibo Tang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
| | - Chengyuan Mao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
| | - Chan Zhang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
| | - Yuming Xu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Shilei Sun
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
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Fernandez RD, Bezerra GMB, Krejcová LV, Gomes DL. Correlations between Nutritional Status and Quality of Life of People with Parkinson's Disease. Nutrients 2023; 15:3272. [PMID: 37513688 PMCID: PMC10386488 DOI: 10.3390/nu15143272] [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: 06/09/2023] [Revised: 07/06/2023] [Accepted: 07/08/2023] [Indexed: 07/30/2023] Open
Abstract
Parkinson's disease (PD) is a neurodegenerative condition that can impact the nutritional status, and such impact seems to be related to the quality of life (QoL). OBJECTIVE To evaluate the correlation between anthropometric variables and the QoL of people with Parkinson's disease (PD). METHODS This is a cross-sectional, descriptive, and analytical study, carried out through the collection of anthropometric data and application of the Parkinson's Disease Questionnaire PDQ-39. RESULTS 33 individuals (23 male) diagnosed with PD participated in the research, with a mean age of 58.9 ± 11.6 years. We observed overweight in 45.4% of participants. The perception of QoL showed lower scores for the subjects in the dimensions of body discomfort (75.3 ± 16.6), social support (62.7 ± 15.7), and mobility (61.0 ± 23.6). The correlation between the total QoL score and age (model 1, B = 0.347; CI 0.004-0.902; p = 0.048), which remained statistically significant in the multiple linear regression, regardless of gender (model 2, B = 0.365; CI 0.016-0.937; p = 0.043) and BMI (model 3, B = 0.363; CI 0.006-0.943; p = 0.047), suggests that, in the participants of this study, this relationship does not depend on gender and nutritional status. CONCLUSION The perception of QoL was worse in the dimensions of body discomfort, social support, and mobility, worsening with advanced age. Correlations between the worst scores in QoL dimensions and nutritional status were observed. A positive correlation was also identified between age and overall PDQ-39 score, regardless of gender and nutritional status.
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Affiliation(s)
- Raissa Dias Fernandez
- Neuroscience and Behaviour, Universidade Federal do Pará, Belém 66610-770, PA, Brazil
| | | | - Lane Viana Krejcová
- Neuroscience and Cellular Biology, Universidade Federal do Pará, Belém 66610-710, PA, Brazil
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Portugal B, Artaud F, Domenighetti C, Roze E, Degaey I, Canonico M, Elbaz A. Body Mass Index, Abdominal Adiposity, and Incidence of Parkinson Disease in French Women From the E3N Cohort Study. Neurology 2023; 100:e324-e335. [PMID: 36192171 DOI: 10.1212/wnl.0000000000201468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 09/09/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Previous studies on the relationship between body mass index (BMI) and Parkinson disease (PD) provided inconsistent results, likely due to reverse causation explained by weight loss during the prodromal phase. We examined the association of BMI and abdominal adiposity with PD incidence using lagged analyses to address the potential for reverse causation and compared BMI trajectories in patients before diagnosis and matched controls. METHODS We used data from the E3N cohort study of French women with a 29-year follow-up (1990-2018). BMI (kg/m2) was computed based on self-reported weight and height up to 11 times; up to 6 waist circumference (WC) and hip circumference measures were available. PD diagnoses were validated based on medical records and drug claim databases. Multivariable time-varying Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% CIs according to BMI categories (underweight <18.5 kg/m2; normal = [18.5-25.0[ kg/m2; overweight = [25.0-30.0[ kg/m2; obese ≥30.0 kg/m2). Exposures were lagged by 5 years in main analyses; we used longer lags (10 and 20 years) in sensitivity analyses. We examined trajectories of BMI categories within a nested case-control study using multivariable generalized estimating equations multinomial logistic models. RESULTS Of 96,702 women (baseline age = 40-65 years), 1,164 developed PD. PD incidence was lower (HR = 0.76, 95% CI = 0.59-0.98, p = 0.032) among women with obesity compared with those with normal BMI. There was a similar association in analyses using longer lag times (20 years, 598 cases, HR = 0.52, 95% CI = 0.30-0.88, p = 0.016). A similar pattern was seen for WC and waist-height ratio but not waist-hip ratio. Trajectories of BMI categories (1,196 patients and 23,876 controls) showed that obesity was less frequent in patients with PD before diagnosis than in controls, with a statistically significant difference 29 years before. In addition, the frequency of obesity decreased 5-10 years before diagnosis in patients. DISCUSSION In this large cohort of women with a long follow-up, obesity was associated with a lower hazard of PD, even when measured 20 years before diagnosis, in agreement with Mendelian randomization studies. Our analyses underscore the importance of lagged analyses to account for reverse causation. These findings warrant further investigations to understand the mechanisms underlying this inverse association.
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Affiliation(s)
- Berta Portugal
- Université Paris-Saclay (B.P., F.A., C.D., I.D., M.C., A.E.), UVSQ, Univ. Paris-Sud, Gustave Roussy, Inserm, Villejuif; and AP-HP, Hôpital Pitié-Salpêtrière (E.R.), Département de Neurologie, Paris; Sorbonne Université, France and INSERM U1127, Institut du Cerveau, Paris, France
| | - Fanny Artaud
- Université Paris-Saclay (B.P., F.A., C.D., I.D., M.C., A.E.), UVSQ, Univ. Paris-Sud, Gustave Roussy, Inserm, Villejuif; and AP-HP, Hôpital Pitié-Salpêtrière (E.R.), Département de Neurologie, Paris; Sorbonne Université, France and INSERM U1127, Institut du Cerveau, Paris, France
| | - Cloé Domenighetti
- Université Paris-Saclay (B.P., F.A., C.D., I.D., M.C., A.E.), UVSQ, Univ. Paris-Sud, Gustave Roussy, Inserm, Villejuif; and AP-HP, Hôpital Pitié-Salpêtrière (E.R.), Département de Neurologie, Paris; Sorbonne Université, France and INSERM U1127, Institut du Cerveau, Paris, France
| | - Emmanuel Roze
- Université Paris-Saclay (B.P., F.A., C.D., I.D., M.C., A.E.), UVSQ, Univ. Paris-Sud, Gustave Roussy, Inserm, Villejuif; and AP-HP, Hôpital Pitié-Salpêtrière (E.R.), Département de Neurologie, Paris; Sorbonne Université, France and INSERM U1127, Institut du Cerveau, Paris, France
| | - Isabelle Degaey
- Université Paris-Saclay (B.P., F.A., C.D., I.D., M.C., A.E.), UVSQ, Univ. Paris-Sud, Gustave Roussy, Inserm, Villejuif; and AP-HP, Hôpital Pitié-Salpêtrière (E.R.), Département de Neurologie, Paris; Sorbonne Université, France and INSERM U1127, Institut du Cerveau, Paris, France
| | - Marianne Canonico
- Université Paris-Saclay (B.P., F.A., C.D., I.D., M.C., A.E.), UVSQ, Univ. Paris-Sud, Gustave Roussy, Inserm, Villejuif; and AP-HP, Hôpital Pitié-Salpêtrière (E.R.), Département de Neurologie, Paris; Sorbonne Université, France and INSERM U1127, Institut du Cerveau, Paris, France
| | - Alexis Elbaz
- Université Paris-Saclay (B.P., F.A., C.D., I.D., M.C., A.E.), UVSQ, Univ. Paris-Sud, Gustave Roussy, Inserm, Villejuif; and AP-HP, Hôpital Pitié-Salpêtrière (E.R.), Département de Neurologie, Paris; Sorbonne Université, France and INSERM U1127, Institut du Cerveau, Paris, France
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Waist circumference and risk of Parkinson’s disease. NPJ Parkinsons Dis 2022; 8:89. [PMID: 35803940 PMCID: PMC9270375 DOI: 10.1038/s41531-022-00353-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 06/17/2022] [Indexed: 12/30/2022] Open
Abstract
Although many studies support the association of obesity with neurodegenerative diseases, such as Parkinson’s disease (PD), there are limited data regarding the association between abdominal obesity and PD, with mixed findings. The aim of this study was to examine the association of waist circumference (WC) with the risk of PD incidence. We retrospectively analyzed a large-scale nationwide cohort of 6,925,646 individuals aged ≥40 years who underwent the Korean National Health Screening during 2009. We performed multivariable Cox proportional hazards regression to evaluate the association of WC and abdominal obesity with PD risk and calculated hazard ratios (HRs) with 95% confidence intervals (CIs) of PD incidence. During a median follow-up period of 8.35 years, 33,300 cases of PD developed. PD incidence was positively associated with increases in WC (P for trend < 0.001). The risk of PD incidence tended to elevate as WC increased (P for trend < 0.001), indicating that the adjusted HRs of PD incidence in the highest WC group versus the reference group was 1.16 (95% CI, 1.10–1.23), whereas it was 0.91 (95% CI 0.84–0.98) in the lowest WC group. Individuals with abdominal obesity were significantly associated with an increased PD risk (HR 1.10, 95% CI: 1.07–1.13). These associations persisted even after adjustment for body mass index and stratification by sex. Even among non-obese individuals, abdominal obesity was associated with a higher PD risk (adjusted HR 1.13, 95% CI: 1.09–1.18). Taken together, higher WC and abdominal obesity were associated with increased PD risk. Even in non-obese individuals, abdominal obesity was associated with an increased PD risk.
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Ekraminasab S, Dolatshahi M, Sabahi M, Mardani M, Rashedi S. The Interactions between Adipose Tissue Secretions and Parkinson's disease; The Role of Leptin. Eur J Neurosci 2022; 55:873-891. [PMID: 34989050 DOI: 10.1111/ejn.15594] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 12/30/2021] [Accepted: 12/31/2021] [Indexed: 11/30/2022]
Abstract
Leptin is a hormone that regulates appetite by acting on receptors in the hypothalamus, where it modifies food intake to maintain equilibrium with the body energy resources. Leptin and its receptors are widely distributed in the central nervous system, suggesting that they may give neuronal survival signals. The potential of leptin to decrease/increase neuronal damage and neuronal plasticity in Parkinson's diseases (PD) is the subject of this review, which outlines our current knowledge of how leptin acts in the brain. Although leptin-mediated neuroprotective signaling results in neuronal death prevention, it can affect neuroinflammatory cascades and also neuronal plasticity which contribute to PD pathology. Other neuroprotective molecules, such as insulin and erythropoietin, share leptin-related signaling cascades, and therefore constitute a component of the neurotrophic effects mediated by endogenous hormones. With the evidence that leptin dysregulation causes increased neuronal vulnerability to damage in PD, using leptin as a target for therapeutic modification is an appealing and realistic option.
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Affiliation(s)
- Sara Ekraminasab
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Mahsa Dolatshahi
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Mohammadmahdi Sabahi
- NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran.,Neurosurgery Research Group (NRG), Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Mahta Mardani
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Sina Rashedi
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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Sex differences in the association between nonalcoholic fatty liver disease and Parkinson's disease. Parkinsonism Relat Disord 2021; 93:19-26. [PMID: 34763304 DOI: 10.1016/j.parkreldis.2021.10.030] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 10/13/2021] [Accepted: 10/31/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND The association between nonalcoholic fatty liver disease (NAFLD) and Parkinson's disease (PD) remains uncertain. This study sought to assess the sex-specific association between NAFLD and PD risk considering that sex is an important factor in both conditions. METHODS We included 2,651,169 men and 2,998,904 women (≥40 years of age) who underwent health examinations in 2009 using database of the Korean National Health Insurance Service. To define NAFLD, the Fatty Liver Index (FLI) was used and a score of at least 60 points was regarded as suggesting the presence of NAFLD. Cox proportional hazards analyses were performed to evaluate the association between the presence of NAFLD/each component of FLI and the risk of PD. All analyses were stratified by sex. RESULTS The median follow-up duration was 7.3 years in both men and women. Of the total study population, 23,233 patients with PD (10,578 men and 12,655 women) were identified. Among men, a decreased risk of PD was observed in those with NAFLD [adjusted hazard ratio (aHR): 0.86, 95% confidence interval (CI): 0.82-0.91]. In contrast, among women, an increased risk of PD was observed in those with NAFLD (aHR: 1.09, 95% CI: 1.02-1.16). This different association according to sex was more prominent among younger participants but was not significant in the old age group. CONCLUSIONS NAFLD defined by FLI is differently associated with the risk of PD by sex (i.e., low risk of PD in men with NAFLD vs. high risk of PD in women with NAFLD).
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Wang K, Luo Z, Li C, Huang X, Shiroma EJ, Simonsick EM, Chen H. Blood Cholesterol Decreases as Parkinson's Disease Develops and Progresses. JOURNAL OF PARKINSONS DISEASE 2021; 11:1177-1186. [PMID: 34024785 DOI: 10.3233/jpd-212670] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Literature shows an inverse association of circulating cholesterol level with the risk of Parkinson's disease (PD); this finding has important ramifications, but its interpretation has been debated. OBJECTIVE To longitudinally examine how blood total cholesterol changes during the development of PD. METHODS In the Health, Aging and Body Composition study (n = 3,053, 73.6±2.9 years), blood total cholesterol was measured at clinic visit years 1, 2, 4, 6, 8, 10, and 11. We first examined baseline cholesterol in relation to PD risk, adjusting for potential confounders and competing risk of death. Then, by contrasting the observed with expected cholesterol levels, we examined the trajectory of changes in total cholesterol before and after disease diagnosis. RESULTS Compared to the lowest tertile of baseline total cholesterol, the cumulative incidence ratio of PD and 95% confidence interval was 0.41 (0.20, 0.86) for the second tertile, and 0.69 (0.35, 1.35) for the third tertile. In the analysis that examined change of total cholesterol level before and after PD diagnosis, we found that its level began to decrease in the prodromal stage of PD and became statistically lower than the expected values ∼4 years before disease diagnosis (observed-expected difference, -6.68 mg/dL (95% confidence interval: -13.14, -0.22)). The decreasing trend persisted thereafter; by year-6 post-diagnosis, the difference increased to -13.59 mg/dL (95% confidence interval: -22.12, -5.06), although the linear trend did not reach statistical significance (p = 0.10). CONCLUSION Circulating total cholesterol began to decrease in the prodromal stage of PD, which may in part explain its reported inverse association with PD.
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Affiliation(s)
- Keran Wang
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, USA
| | - Zhehui Luo
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, USA
| | - Chenxi Li
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, USA
| | - Xuemei Huang
- Department of Neurology, Hershey Medical Center, Pennsylvania State University, Hershey, PA, USA
| | - Eric J Shiroma
- Laboratory of Epidemiology and Population Science, Intramural Research Program of the National Institutes of Health, National Institute on Aging, Bethesda, MD, USA
| | - Eleanor M Simonsick
- Laboratory of Epidemiology and Population Science, Intramural Research Program of the National Institutes of Health, National Institute on Aging, Bethesda, MD, USA
| | - Honglei Chen
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, USA
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Wang XX, Feng Y, Li X, Zhu XY, Truong D, Ondo WG, Wu YC. Prodromal Markers of Parkinson's Disease in Patients With Essential Tremor. Front Neurol 2020; 11:874. [PMID: 32982913 PMCID: PMC7477377 DOI: 10.3389/fneur.2020.00874] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Accepted: 07/09/2020] [Indexed: 12/16/2022] Open
Abstract
Background: Essential tremor (ET) is manifested as an isolated syndrome of bilateral upper limb action tremor. Parkinson's disease (PD) is the second most common neurodegenerative disease, with typical motor symptoms of bradykinesia, rigidity, and resting tremor. ET-PD describes the new-onset of PD in ET patients. Recently, numerous studies on epidemiology, genetics, pathology, clinical features, and neuroimaging studies are challenging the idea that ET is an isolated disease, suggesting that patients with ET have the tendency to develop PD. Methods: In this review article, we collected recent findings that reveal prodromal markers of PD in patients with ET. Results: Substantia nigra hyperechogenicity serves as a prodromal marker for predicting the development of PD in patients with ET and provides a reference for therapeutic strategies. Additional potential markers include other neuroimaging, clinical features, heart rate, and genetics, whereas others lack sufficient evidence. Conclusion: In consideration of the limited research of PD in patients with ET, we are still far from revealing the prodromal markers. However, from the existing follow-up studies on ET patients, Substantia nigra hyperechogenicity may enable further exploration of the relationship between ET and PD and the search for pathogenesis-based therapies.
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Affiliation(s)
- Xi-Xi Wang
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai General Hospital of Nanjing Medical University, Nanjing, China
| | - Ya Feng
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xuan Li
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao-Ying Zhu
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Daniel Truong
- Orange Coast Memorial Medical Center, The Truong Neurosciences Institute, Fountain Valley, CA, United States.,Department of Neurosciences and Psychiatry, University of California, Riverside, Riverside, CA, United States
| | - William G Ondo
- Weill Cornell Medical School, Methodist Neurological Institute, Houston, TX, United States
| | - Yun-Cheng Wu
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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