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Tran C, Shen K, Liu K, Ashok A, Ramirez-Zamora A, Chen J, Li Y, Fang R. Deep learning predicts prevalent and incident Parkinson's disease from UK Biobank fundus imaging. Sci Rep 2024; 14:3637. [PMID: 38351326 PMCID: PMC10864361 DOI: 10.1038/s41598-024-54251-1] [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: 05/02/2023] [Accepted: 02/10/2024] [Indexed: 02/16/2024] Open
Abstract
Parkinson's disease is the world's fastest-growing neurological disorder. Research to elucidate the mechanisms of Parkinson's disease and automate diagnostics would greatly improve the treatment of patients with Parkinson's disease. Current diagnostic methods are expensive and have limited availability. Considering the insidious and preclinical onset and progression of the disease, a desirable screening should be diagnostically accurate even before the onset of symptoms to allow medical interventions. We highlight retinal fundus imaging, often termed a window to the brain, as a diagnostic screening modality for Parkinson's disease. We conducted a systematic evaluation of conventional machine learning and deep learning techniques to classify Parkinson's disease from UK Biobank fundus imaging. Our results suggest Parkinson's disease individuals can be differentiated from age and gender-matched healthy subjects with 68% accuracy. This accuracy is maintained when predicting either prevalent or incident Parkinson's disease. Explainability and trustworthiness are enhanced by visual attribution maps of localized biomarkers and quantified metrics of model robustness to data perturbations.
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Affiliation(s)
- Charlie Tran
- Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA
| | - Kai Shen
- Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA
| | - Kang Liu
- Department of Physics, University of Florida, Gainesville, FL, 32661, USA
| | - Akshay Ashok
- Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, 32611, USA
| | | | - Jinghua Chen
- Department of Ophthalmology, University of Florida, Gainesville, FL, 32661, USA
| | - Yulin Li
- Department of Biostatistics, University of Florida, Gainesville, FL, 32661, USA
| | - Ruogu Fang
- Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA.
- J. Crayton Pruitt Family Department of Biomedical Engineering, Herbert Wertheim College of Engineering, University of Florida, 1275 Center Drive, PO Box 116131, Gainesville, FL, 32611-6131, USA.
- Center for Cognitive Aging and Memory, University of Florida, Gainesville, FL, 32611, USA.
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Xia D, Han X, Zeng Y, Wang J, Xu K, Zhang T, Jiang Y, Chen X, Song H, Suo C. Disease trajectory of high neuroticism and the relevance to psychiatric disorders: A retro-prospective cohort study. Acta Psychiatr Scand 2024; 149:133-146. [PMID: 38057974 DOI: 10.1111/acps.13645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/06/2023] [Accepted: 11/23/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Neuroticism is a psychological personality trait that has a significant impact on public health and is also a potential predisposing factor for adverse disease outcomes; however, comprehensive studies of the subsequently developed conditions are lacking. The starting point of disease trajectory in terms of genetic variation remains unclear. METHOD Our study included 344,609 adult participants from the UK Biobank cohort who were virtually followed up from January 1, 1997. Neuroticism levels were assessed using 12 items from the Eysenck Personality Questionnaire. We performed a phenome-wide association analysis of neuroticism and subsequent diseases. Binomial tests and logistic regression models were used to test the temporal directionality and association between disease pairs to construct disease trajectories. We also investigated the association between polygenic risk scores (PRSs) for five psychiatric traits and high neuroticism. RESULTS The risk for 59 diseases was significantly associated with high neuroticism. Depression, anxiety, irritable bowel syndrome, migraine, spondylosis, and sleep disorders were the most likely to develop, with hazard ratios of 6.13, 3.66, 2.28, 1.74, 1.74, and 1.71, respectively. The disease trajectory network revealed two major disease clusters: cardiometabolic and chronic inflammatory diseases. Medium/high genetic risk groups stratified by the PRSs of four psychiatric traits were associated with an elevated risk of high neuroticism. We further identified eight complete phenotypic trajectory clusters of medium or high genetic risk for psychotic, anxiety-, depression-, and stress-related disorders. CONCLUSION Neuroticism plays an important role in the development of somatic and mental disorders. The full picture of disease trajectories from the genetic risk of psychiatric traits and neuroticism in early life to a series of diseases later provides evidence for future research to explore the etiological mechanisms and precision management.
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Affiliation(s)
- Ding Xia
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Xin Han
- Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yu Zeng
- Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Jingru Wang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Kelin Xu
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
- Department of Biostatistics, School of Public Health, Shanghai, China
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
| | - Tiejun Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
| | - Yanfeng Jiang
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - Xingdong Chen
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - Huan Song
- Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Chen Suo
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
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Chilcot J, Hackett RA. Association Between Optimism and Incident Stroke Among Stroke Survivors: Findings From the English Longitudinal Study of Ageing. Ann Behav Med 2024; 58:48-55. [PMID: 37706520 PMCID: PMC10729789 DOI: 10.1093/abm/kaad051] [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] [Indexed: 09/15/2023] Open
Abstract
BACKGROUND Personality has been implicated in stroke death. However, the role of personality in stroke incidence is unclear. PURPOSE Our primary aim was to investigate associations between optimism, determination, control, and the "Big Five" personality traits on incident stroke. A secondary aim was to assess the potential mediating role of health behaviors in the personality-stroke relationship. METHODS A total of 3,703 stroke-free participants from the English Longitudinal Study of Ageing provided data on personality using the Midlife Development Inventory at Wave 5 (2010/11). Self-reported incident stroke was assessed from Waves 6 to 8 (2012-2017). Associations were modeled using discrete-time survival proportional odds logistic models. Analyses were adjusted for sociodemographic factors, history of other cardiometabolic diseases, and health behaviors. RESULTS Over 6 years follow-up there were 125 incident strokes. Higher optimism (hazard ratio [HR] = 0.66; 95% confidence interval [CI] 0.53, 0.82), openness (HR = 0.72; 95% CI 0.53, 0.98), and conscientiousness (HR = 0.59; 95% CI 0.42, 0.84) were associated with reduced incident stroke risk in unadjusted models. After adjustment for sociodemographic factors and history of cardiometabolic disease, only the association between optimism and incident stroke remained significant (HR = 0.72; 95% CI 0.57, 0.92). The effect of optimism remained significant in a final model adjusting for health behaviors (HR = 0.75; 95% CI 0.60, 0.96). There was evidence of a small but significant mediating effect of physical activity. CONCLUSIONS Higher trait optimism was associated with reduced stroke risk. This association was partially mediated by physical activity albeit the effect was small, and caution warranted inferring causality. The interplay of personality, behavior, and clinical risk factors in stroke incidence and survivorship needs further investigation.
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Affiliation(s)
- Joseph Chilcot
- Health Psychology Section, Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience King’s College London, London, UK
| | - Ruth A Hackett
- Health Psychology Section, Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience King’s College London, London, UK
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Sutin AR, Luchetti M, Stephan Y, Terracciano A. Meaning in life and Parkinson's disease in the UK Biobank. Clin Park Relat Disord 2023; 10:100231. [PMID: 38234675 PMCID: PMC10792733 DOI: 10.1016/j.prdoa.2023.100231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 11/15/2023] [Accepted: 12/21/2023] [Indexed: 01/19/2024] Open
Abstract
Introduction Meaning in life is an aspect of eudaimonic well-being associated with lower dementia risk. This research examines whether this protective association extends to Parkinson's disease (PD). Methods Participants (N = 153,569) from the UK Biobank reported on their meaning in life. Cases of PD were identified through health records. Results Meaning in life was associated with a 50 % lower likelihood of prevalent PD (OR = 0.68, 95 % CI = 0.59-0.78). Over the 5-year follow-up, meaning was associated with a 35 % lower risk of incident PD (HR = 0.74, 95 % CI = 0.65-0.83), an association robust to sociodemographic characteristics, depression, history of seeking mental health care, smoking, physical activity, and genetic risk and not moderated by age, sex, education, deprivation, or genetic risk. Conclusions Meaning in life is associated with lower risk of incident PD, an association independent of other major risk factors and generalizable across sociodemographic groups. Meaning is a promising target of intervention for common neurodegenerative diseases.
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Terracciano A, Cenatus B, Zhu X, Karakose S, Stephan Y, Marcolini S, De Deyn PP, Luchetti M, Sutin AR. Neuroticism and white matter hyperintensities. J Psychiatr Res 2023; 165:174-179. [PMID: 37506413 PMCID: PMC10528519 DOI: 10.1016/j.jpsychires.2023.07.026] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 07/17/2023] [Accepted: 07/20/2023] [Indexed: 07/30/2023]
Abstract
Neuroticism is a major risk factor for neurodegenerative disorders, such as Alzheimer's disease and related dementias. This study investigates whether neuroticism is associated with white matter hyperintensities and whether this measure of brain integrity is a mediator between neuroticism and cognitive function. Middle-aged and older adults from the UK Biobank (N = 40,602; aged 45-82 years, M = 63.97, SD = 7.66) provided information on demographic and health covariates, completed measures of neuroticism and cognition, and underwent magnetic resonance imaging from which the volume of white matter hyperintensities was derived. Regression analyses that included age and sex as covariates found that participants who scored higher on neuroticism had more white matter hyperintensities (β = 0.024, 95% CI 0.015 to 0.032; p < .001), an association that was consistent across peri-ventricular and deep brain regions. The association was reduced by about 40% when accounting for vascular risk factors (smoking, obesity, diabetes, high blood pressure, heart attack, angina, and stroke). The association was not moderated by age, sex, college education, deprivation index, or APOE e4 genotype, and remained unchanged in sensitivity analyses that excluded individuals with dementia or those younger than 65. The mediation analysis revealed that white matter hyperintensities partly mediated the association between neuroticism and cognitive function. These findings identify white matter integrity as a potential neurobiological pathway that accounts for a small proportion of the association between neuroticism and cognitive health.
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Affiliation(s)
- Antonio Terracciano
- Department of Geriatrics, Florida State University College of Medicine, Tallahassee, FL, USA.
| | - Bertin Cenatus
- Department of Geriatrics, Florida State University College of Medicine, Tallahassee, FL, USA
| | - Xianghe Zhu
- Department of Psychology, School of Mental Health, Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Zhejiang Provincial Clinical Research Center for Mental Disorders, The Affiliated Kangning Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China; Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou, Zhejiang, 325000, China
| | - Selin Karakose
- Department of Geriatrics, Florida State University College of Medicine, Tallahassee, FL, USA
| | | | - Sofia Marcolini
- Department of Neurology and Alzheimer Center, University Medical Center Groningen, Groningen, the Netherlands
| | - Peter P De Deyn
- Department of Neurology and Alzheimer Center, University Medical Center Groningen, Groningen, the Netherlands; Laboratory of Neurochemistry and Behavior, Experimental Neurobiology Unit, University of Antwerp, Wilrijk, Antwerp, Belgium
| | - Martina Luchetti
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, FL, USA
| | - Angelina R Sutin
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, FL, USA
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Terracciano A, Walker K, An Y, Luchetti M, Stephan Y, Moghekar AR, Sutin AR, Ferrucci L, Resnick SM. The association between personality and plasma biomarkers of astrogliosis and neuronal injury. Neurobiol Aging 2023; 128:65-73. [PMID: 37210782 PMCID: PMC10247521 DOI: 10.1016/j.neurobiolaging.2023.04.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/31/2023] [Accepted: 04/22/2023] [Indexed: 05/23/2023]
Abstract
Personality traits have been associated with the risk of dementia and Alzheimer's disease neuropathology, including amyloid and tau. This study examines whether personality traits are concurrently related to plasma glial fibrillary acidic protein (GFAP), a marker of astrogliosis, and neurofilament light (NfL), a marker of neuronal injury. Cognitively unimpaired participants from the Baltimore Longitudinal Study on Aging (N = 786; age: 22-95) were assayed for plasma GFAP and NfL and completed the Revised NEO Personality Inventory, which measures 5 domains and 30 facets of personality. Neuroticism (particularly vulnerability to stress, anxiety, and depression) was associated with higher GFAP and NfL. Conscientiousness was associated with lower GFAP. Extraversion (particularly positive emotions, assertiveness, and activity) was related to lower GFAP and NfL. These associations were independent of demographic, behavioral, and health covariates and not moderated by age, sex, or apolipoprotein E genotype. The personality correlates of astrogliosis and neuronal injury tend to be similar, are found in individuals without cognitive impairment, and point to potential neurobiological underpinnings of the association between personality traits and neurodegenerative diseases.
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Affiliation(s)
- Antonio Terracciano
- Department of Geriatrics, Florida State University College of Medicine, Tallahassee, FL, USA; Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
| | - Keenan Walker
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Martina Luchetti
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, FL, USA
| | | | - Abhay R Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Angelina R Sutin
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, FL, USA
| | - Luigi Ferrucci
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
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Stephan Y, Sutin AR, Luchetti M, Aschwanden D, Terracciano A. Personality and Risk of Incident Stroke in 6 Prospective Studies. Stroke 2023; 54:2069-2076. [PMID: 37325920 PMCID: PMC10524767 DOI: 10.1161/strokeaha.123.042617] [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: 01/20/2023] [Accepted: 05/12/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND A large literature has examined a broad range of factors associated with increased risk of stroke. Few studies, however, have examined the association between personality and stroke. The present study adopted a systematic approach using a multi-cohort design to examine the associations between 5-Factor Model personality traits (neuroticism, extraversion, openness, agreeableness, and conscientiousness) and incident stroke using data from 6 large longitudinal samples of adults. METHODS Participants (age range: 16-104 years old, N=58 105) were from the MIDUS (Midlife in the United States) Study, the HRS (Health and Retirement Study), The US (Understanding Society) study, the WLS (Wisconsin Longitudinal Study), the NHATS (National Health and Aging Trends Study), and the LISS (Longitudinal Internet Studies for the Social Sciences). Personality traits, demographic factors, clinical and behavioral risk factors were assessed at baseline; stroke incidence was tracked over 7 to 20 years follow-up. RESULTS Meta-analyses indicated that higher neuroticism was related to a higher risk of incident stroke (hazard ratio, 1.15 [95% CI, 1.10-1.20]; P<0.001), whereas higher conscientiousness was protective (HR, 0.89 [95% CI, 0.85-0.93]; P<0.001). Additional meta-analyses indicated that BMI, diabetes, blood pressure, physical inactivity, and smoking as additional covariates partially accounted for these associations. Extraversion, openness, and agreeableness were unrelated to stroke incidence. CONCLUSIONS Similar to other cardiovascular and neurological conditions, higher neuroticism is a risk factor for stroke incidence, whereas higher conscientiousness is a protective factor.
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Affiliation(s)
| | - Angelina R. Sutin
- Department of Behavioral Sciences and Social Medicine, College of Medicine, Florida State University, USA
| | - Martina Luchetti
- Department of Behavioral Sciences and Social Medicine, College of Medicine, Florida State University, USA
| | - Damaris Aschwanden
- Department of Geriatrics, College of Medicine, Florida State University, USA
- Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Switzerland
| | - Antonio Terracciano
- Department of Geriatrics, College of Medicine, Florida State University, USA
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Dubey S, Ghosh R, Dubey MJ, Das S, Chakraborty AP, Santra A, Dutta A, Roy D, Pandit A, Roy BK, Das G, Benito-León J. Psychosocial Basis of Human Sufferings and Poverty in Patients with Neurological and Psychiatric Disorders. MEDICAL RESEARCH ARCHIVES 2023; 11:3919. [PMID: 37641666 PMCID: PMC10461571 DOI: 10.18103/mra.v11i5.3919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Neurological disorders and psychiatric ailments often lead to cognitive disabilities and low attainment of education, pivoting misconceptions, myths, and misbeliefs. Poverty and low educational attainment are intriguingly associated with poor awareness and perception of these diseases that add to the suffering. Poverty goes parallel with a low level of education and is intricately associated with neuropsychiatric ailments, which have the potential to spread transgenerationally. Robust education policies, proper government rules and regulations against the spread of disease-related myths and misconceptions, uplifting medical education in its true sense, voices against consanguinity, and programs to raise scientific perception about diseases can help to throw light at the end of this dark tunnel. In this article, the authors intend to 1) decipher the potential psychosocial basis of human suffering and poverty in patients with neurological and psychiatric disorders, and 2) discuss the apropos way-outs that would potentially mitigate suffering, and alleviate the economic burden and cognitive disabilities of families with neuropsychiatric diseases.
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Affiliation(s)
- Souvik Dubey
- Department of Neuromedicine, Bangur Institute of Neurosciences (BIN), Kolkata, West Bengal, India
| | - Ritwik Ghosh
- Department of General Medicine, Burdwan Medical College, and Hospital, Burdwan, West Bengal, India
| | - Mahua Jana Dubey
- Department of Psychiatry, Berhampur Mental Hospital, Berhampur, West Bengal, India
| | - Shambaditya Das
- Department of Neuromedicine, Bangur Institute of Neurosciences (BIN), Kolkata, West Bengal, India
| | - Arka Prava Chakraborty
- Department of Neuromedicine, Bangur Institute of Neurosciences (BIN), Kolkata, West Bengal, India
| | - Arindam Santra
- Department of Neuromedicine, Bangur Institute of Neurosciences (BIN), Kolkata, West Bengal, India
| | - Ajitava Dutta
- Department of Neuromedicine, Bangur Institute of Neurosciences (BIN), Kolkata, West Bengal, India
| | - Dipayan Roy
- Indian Institute of Technology (IIT) Madras, Chennai, Tamil Nadu, India
- School of Humanities, Indira Gandhi National Open University (IGNOU), New Delhi, India
| | - Alak Pandit
- Department of Neuromedicine, Bangur Institute of Neurosciences (BIN), Kolkata, West Bengal, India
| | - Biman Kanti Roy
- Department of Neuromedicine, Bangur Institute of Neurosciences (BIN), Kolkata, West Bengal, India
| | - Gautam Das
- Department of Neuromedicine, Bangur Institute of Neurosciences (BIN), Kolkata, West Bengal, India
| | - Julián Benito-León
- Department of Neurology, University Hospital “12 de Octubre”, Madrid, Spain
- Research Institute (i+12), University Hospital “12 de Octubre”, Madrid, Spain
- Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
- Department of Medicine, Complutense University, Madrid, Spain
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Wu Q, Liu S, Huang X, Liu J, Wang Y, Xiang Y, Tang X, Xu Q, Yan X, Tang B, Guo J. Bidirectional Mendelian randomization study of psychiatric disorders and Parkinson’s disease. Front Aging Neurosci 2023; 15:1120615. [PMID: 36998320 PMCID: PMC10045982 DOI: 10.3389/fnagi.2023.1120615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 02/21/2023] [Indexed: 03/18/2023] Open
Abstract
IntroductionAlthough the relationship between psychiatric disorders and Parkinson’s disease (PD) has attracted continuous research attention, the causal linkage between them has not reached a definite conclusion.MethodsTo identify the causal relationship between psychiatric disorders and PD, we used public summary-level data from the most recent and largest genome-wide association studies (GWASs) on psychiatric disorders and PD to conduct a bidirectional two-sample Mendelian randomization (MR). We applied stringent control steps in instrumental variable selection using the Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) method to rule out pleiotropy. The inverse-variance weighted (IVW) method was used to identify the causal relationship between psychiatric disorders and PD. Multiple MR analysis methods, including MR-Egger, weighted-median, and leave-one-out analyses, were used for sensitivity analysis, followed by heterogeneity tests. Further validation and reverse MR analyses were conducted to strengthen the results of the forward MR analysis.ResultsThe lack of sufficient estimation results could suggest a causal relationship between psychiatric disorders and PD in the forward MR analysis. However, the subsequent reverse MR analysis detected a causal relationship between PD and bipolar disorder (IVW: odds ratios [OR] =1.053, 95% confidence interval [CI] =1.02–1.09, p = 0.001). Further analysis demonstrated a causal relationship between genetically predicted PD and the risk of bipolar disorder subtype. No pleiotropy or heterogeneity was detected in the analyses.DiscussionOur study suggested that while psychiatric disorders and traits might play various roles in the risk of developing PD, PD might also be involved in the risk of developing psychiatric disorders.
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Affiliation(s)
- Qi Wu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China
| | - Shulin Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xiurong Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jiabin Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yige Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yaqing Xiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xuxiong Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China
| | - Qian Xu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xinxiang Yan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jifeng Guo
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
- Engineering Research Center of Hunan Province in Cognitive Impairment Disorders, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- *Correspondence: Jifeng Guo,
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McCann SJ. Neuroticism, urbanization, and the state prevalence of Parkinson’s disease in the USA. JOURNAL OF RESEARCH IN PERSONALITY 2023. [DOI: 10.1016/j.jrp.2022.104319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
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Kassim FM. Systematic reviews of the acute effects of amphetamine on working memory and other cognitive performances in healthy individuals, with a focus on the potential influence of personality traits. Hum Psychopharmacol 2023; 38:e2856. [PMID: 36251504 PMCID: PMC10078276 DOI: 10.1002/hup.2856] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 09/27/2022] [Accepted: 09/28/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVES This research aimed to systematically review the acute effects of amphetamine (AMP), a dopamine-releasing agent, on working memory (WM) and other cognitive performances. The investigation also aimed to review the impact of personality traits on the subjective and objective effects of AMP and possible links between personality traits and effects of AMP. METHODS Previous double-blind controlled studies assessing the main effects of AMP on WM and other cognitive performances in healthy volunteers were systematically reviewed. An electronic search was performed in the PUBMED and SCOPUS databases. Narrative reviews of the influence of personality traits on the subjective and objective effects of AMP were included. RESULTS Nineteen WM studies were included in the current review. Seven studies found effects of AMP on spatial WM, but only one study found the effect of AMP on verbal WM. Thirty-seven independent studies on other aspects of cognitive performance were identified. Twenty-two reported effects of AMP on cognitive functions. Studies also showed that personality traits are associated with the subjective effects of AMP. However, few studies reported the impacts of personality traits on the objective (such as WM) effects of AMP. CONCLUSION Overall, findings indicate that AMP has mixed-effects on spatial WM and other cognitive functions, but it lacks effects on verbal WM. Although there are insufficient studies on objective measures, studies also indicated that the subjective effects of AMP administration are linked to between-person variations in personality traits.
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Affiliation(s)
- Faiz M Kassim
- Pharmacology, School of Biomedical Sciences, University of Western Australia, Perth, Western Australia, Australia.,Department of Psychiatry, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
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12
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Personality profile and its association with conversion to neurodegenerative disorders in idiopathic REM sleep behavior disorder. NPJ Parkinsons Dis 2022; 8:91. [PMID: 35835768 PMCID: PMC9283391 DOI: 10.1038/s41531-022-00356-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 06/23/2022] [Indexed: 11/22/2022] Open
Abstract
Patients with Parkinson’s disease (PD) were described less extraverted and more neurotic. It remained unclear whether similar personality traits could be found in idiopathic rapid eye movement sleep behavior disorder (iRBD), a prodromal stage of PD, and could predict phenoconversion to neurodegenerative disorders. We aimed to investigate the personality profile and its association with future neurodegenerative phenoconversion in iRBD patients. One hundred and eighty-five video-polysomnography confirmed iRBD patients and 91 age- and sex-matched controls underwent personality assessment using the NEO five-factor inventory, and 171 iRBD patients were followed up. Our results showed that iRBD was marginally negatively associated with extraverted personality trait (B = −0.28, 95% confidence interval (CI) = −0.55, −0.001). During a median follow-up of 5.9 years, 47 iRBD patients (27.5%) had phenoconversion. More neurotic (adjusted hazard ratio (HR) = 2.0, 95% CI = 1.3, 3.1) and less extraverted personality traits (adjusted HR = 0.53, 95% CI = 0.36, 0.77) were associated with an increased risk of phenoconversion in iRBD patients. Our findings suggest that personality profile may be a potential prodromal marker of iRBD.
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13
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Stephan Y, Sutin AR, Canada B, Deshayes M, Kekäläinen T, Terracciano A. Five-factor model personality traits and grip strength: Meta-analysis of seven studies. J Psychosom Res 2022; 160:110961. [PMID: 35779438 PMCID: PMC9932623 DOI: 10.1016/j.jpsychores.2022.110961] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 06/01/2022] [Accepted: 06/06/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVE To examine the association between Five-Factor Model personality traits and grip strength. METHOD Adults aged 16 to 104 years old (N > 40,000) were from the Health and Retirement Study, the Midlife in the United States Study, The English Longitudinal Study of Aging, the National Health and Aging Trends Survey, the United Kingdom Household Longitudinal Study, and the Wisconsin Longitudinal Study graduate and sibling samples. Participants had data on personality traits, demographic factors, grip strength, and mediators such as depressive symptoms, physical activity, body mass index (BMI), and c-reactive protein (CRP). RESULTS Across all samples and a meta-analysis, higher neuroticism was related to lower grip strength (meta-analytic estimate: -0.07, 95%CI: -0.075; -0.056). Higher extraversion (0.04, 95%CI: 0.022; 0.060), openness (0.05, 95%CI: 0.032; 0.062), and conscientiousness (0.05, 95%CI: 0.04; 0.065) were associated with higher grip strength across most samples and the meta-analysis. Depressive symptoms were the most consistent mediators between neuroticism and grip strength. Depressive symptoms and physical activity partly mediated the associations with extraversion, openness, and conscientiousness. Lower CRP partly mediated the association with conscientiousness. Sex moderated the associations for extraversion, openness, and conscientiousness, with stronger associations among males. Age moderated the neuroticism association, with stronger associations among younger individuals. CONCLUSION This study provides replicable evidence that personality is related to grip strength and identifies potential moderators and mediators of these associations. Overall, higher neuroticism is a risk factor for low grip strength, whereas high extraversion, openness, and conscientiousness may be protective.
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Affiliation(s)
| | - Angelina R. Sutin
- Department of Behavioral Sciences and Social Medicine, College of Medicine, Florida State University, USA
| | | | | | - Tiia Kekäläinen
- Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Finland.
| | - Antonio Terracciano
- Department of Geriatrics, College of Medicine, Florida State University, USA.
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14
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Meira B, Lhommée E, Schmitt E, Klinger H, Bichon A, Pélissier P, Anheim M, Tranchant C, Fraix V, Meoni S, Durif F, Houeto JL, Azulay JP, Moro E, Thobois S, Krack P, Castrioto A. Early Parkinson's Disease Phenotypes Tailored by Personality, Behavior, and Motor Symptoms. JOURNAL OF PARKINSON'S DISEASE 2022; 12:1665-1676. [PMID: 35527563 DOI: 10.3233/jpd-213070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Previous studies described a parkinsonian personality characterized as rigid, introverted, and cautious; however, little is known about personality traits in de novo Parkinson's disease (PD) patients and their relationships with motor and neuropsychiatric symptoms. OBJECTIVE To investigate personality in de novo PD and explore its relationship with PD symptoms. METHODS Using Cloninger's biosocial model, we assessed personality in 193 de novo PD patients. Motor and non-motor symptoms were measured using several validated scales. Cluster analysis was conducted to investigate the interrelationship of personality traits, motor, and non-motor symptoms. RESULTS PD patients showed low novelty seeking, high harm avoidance, and normal reward dependence and persistence scores. Harm avoidance was positively correlated with the severity of depression, anxiety, and apathy (rs = [0.435, 0.676], p < 0.001) and negatively correlated with quality of life (rs = -0.492, p < 0.001). Novelty seeking, reward dependence, and persistence were negatively correlated with apathy (rs = [-0.274, -0.375], p < 0.001). Classification of patients according to personality and PD symptoms revealed 3 distinct clusters: i) neuropsychiatric phenotype (with high harm avoidance and low novelty seeking, hypodopaminergic neuropsychiatric symptoms and higher impulsivity), ii) motor phenotype (with low novelty seeking and higher motor severity), iii) benign phenotype (with low harm avoidance and high novelty seeking, reward dependence, and persistence traits clustered with lower symptoms severity and low impulsivity). CONCLUSION Personality in early PD patients allows us to recognize 3 patients' phenotypes. Identification of such subgroups may help to better understand their natural history. Their longitudinal follow-up will allow confirming whether some personality features might influence disease evolution and treatment.
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Affiliation(s)
- Bruna Meira
- Neurology Department, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal.,Movement Disorders Center, Neurology, CHU Grenoble Alpes, Grenoble, France
| | - Eugénie Lhommée
- Movement Disorders Center, Neurology, CHU Grenoble Alpes, Grenoble, France
| | - Emmanuelle Schmitt
- Université Grenoble Alpes, Inserm, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France
| | - Hélène Klinger
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Neurologie C, Centre Expert Parkinson, Lyon, France.,Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Institut des Sciences Cognitives Marc Jeannerod, Bron, France
| | - Amélie Bichon
- Université Grenoble Alpes, Inserm, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France
| | - Pierre Pélissier
- Movement Disorders Center, Neurology, CHU Grenoble Alpes, Grenoble, France
| | - Mathieu Anheim
- Département de Neurologie, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.,Institut de Génétique et de Biologie Moléculaire et Cellulaire, (IGBMC), INSERM-U964/CNRS-UMR7104/, Université de Strasbourg, Illkirch, France.,Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France
| | - Christine Tranchant
- Département de Neurologie, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.,Institut de Génétique et de Biologie Moléculaire et Cellulaire, (IGBMC), INSERM-U964/CNRS-UMR7104/, Université de Strasbourg, Illkirch, France.,Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France
| | - Valérie Fraix
- Université Grenoble Alpes, Inserm, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France
| | - Sara Meoni
- Université Grenoble Alpes, Inserm, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France
| | - Franck Durif
- Université Clermont Auvergne, NPsy-Sydo, Clermont-Ferrand University Hospital, Neurology Department, Clermont-Ferrand, France
| | - Jean-Luc Houeto
- Service de Neurologie, Centre Expert Parkinson, CHU de Limoges, UMR1094 INSERM, Université de Limoges, Limoges, France
| | - Jean Philippe Azulay
- Neurology and Pathology Department of the Movement, University Hospital of Marseille, Timone Hospital, Marseille, France
| | - Elena Moro
- Université Grenoble Alpes, Inserm, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France
| | - Stéphane Thobois
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Neurologie C, Centre Expert Parkinson, Lyon, France.,Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Institut des Sciences Cognitives Marc Jeannerod, Bron, France
| | - Paul Krack
- Department of Neurology, Inselspital, University Hospital Bern, Bern, Switzerland
| | - Anna Castrioto
- Université Grenoble Alpes, Inserm, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France
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15
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Terracciano A, Piras MR, Sutin AR, Delitala A, Curreli NC, Balaci L, Marongiu M, Zhu X, Aschwanden D, Luchetti M, Oppong R, Schlessinger D, Cucca F, Launer LJ, Fiorillo E. Facets of Personality and Risk of Cognitive Impairment: Longitudinal Findings in a Rural Community from Sardinia. J Alzheimers Dis 2022; 88:1651-1661. [DOI: 10.3233/jad-220400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Few studies have examined the associations between personality facets and dementia risk and rarely included individuals from rural settings or with low education. Objective: To examine the association between personality and the risk of cognitive impairment. Methods: Participants (N = 1,668; age 50 to 94 at baseline; 56.4% women; 86.5% less than high school diploma) were from a rural region of Sardinia (Italy) who completed the Revised NEO Personality Inventory (NEO-PI-R) during the first wave (2001–2004) and the Mini-Mental State Examination (MMSE) at waves two to five (2005–2021). Cox regression was used to test personality and covariates as predictors of cognitive impairment based on MMSE education-adjusted cutoffs. Results: During the up to 18-year follow-up (M = 10.38; SD = 4.76), 187 individuals (11.2%) scored as cognitively impaired. Participants with higher neuroticism (particularly the depression facet [HR = 1.22, 95% CI = 1.06–1.40]), and lower agreeableness (particularly the modesty facet [HR = 0.83, 95% CI = 0.71–0.97]) and lower conscientiousness (particularly the dutifulness facet [HR = 0.78, 95% CI = 0.67–0.92]) were at higher risk of cognitive impairment. Lower warmth ([HR = 0.75, 95% CI = 0.65–0.87], facet of extraversion) and ideas ([HR = 0.76, 95% CI = 0.65–0.89], facet of openness) were also associated with increased risk of impairment. These associations were virtually unchanged in models that accounted for other risk factors, including smoking, depression, obesity, hypertension, diabetes, and apolipoprotein E (APOE) ɛ4 carrier status. Across the five domains, sex and the APOE variant did not moderate the associations. Conclusion: In a sample with demographic characteristics underrepresented in dementia research, this study identifies personality domains and facets most relevant to the risk of cognitive impairment.
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Affiliation(s)
| | - Maria Rita Piras
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy
| | | | - Alessandro Delitala
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy
| | - Nicolò Camillo Curreli
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy
| | - Lenuta Balaci
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy
| | - Michele Marongiu
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy
| | - Xianghe Zhu
- Florida State University College of Medicine, Tallahassee, FL, USA
| | | | - Martina Luchetti
- Florida State University College of Medicine, Tallahassee, FL, USA
| | - Richard Oppong
- National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - David Schlessinger
- National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy
| | - Lenore J. Launer
- National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Edoardo Fiorillo
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy
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16
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Wei X, Jiang X, Zhang X, Fan X, Ji M, Huang Y, Xu J, Yin R, Wang Y, Zhu M, Du L, Dai J, Jin G, Xu L, Hu Z, Hang D, Ma H. Association Between Neuroticism and Risk of Lung Cancer: Results From Observational and Mendelian Randomization Analyses. Front Oncol 2022; 12:836159. [PMID: 35237526 PMCID: PMC8882734 DOI: 10.3389/fonc.2022.836159] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 01/25/2022] [Indexed: 11/24/2022] Open
Abstract
Background It remains undetermined whether neuroticism affects the risk of lung cancer. Therefore, we performed complementary observational and Mendelian randomization (MR) analyses to investigate the association between neuroticism and lung cancer risk. Methods We included 364,451 UK Biobank participants free of cancer at baseline. Neuroticism was ascertained using the 12-item of Eysenck Personality Inventory Neuroticism Scale. Multivariable Cox regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). Two-sample MR analysis was carried out with summary genetic data from UK Biobank (374,323 individuals) and International Lung Cancer Consortium (29,266 lung cancer cases and 56,450 controls). Furthermore, we calculated a polygenic risk score of lung cancer, and examined the joint-effect and interaction between neuroticism and genetic susceptibility on lung cancer risk. Results During a median follow-up of 7.13 years, 1573 lung cancer cases were documented. After adjusting for smoking and other confounders, higher neuroticism was associated with an increased risk of lung cancer (HR per 1 SD=1.07, 95% CI: 1.02-1.12). Consistently, MR analysis suggested a causal effect of neuroticism on lung cancer risk (OR IVW=1.10, 95% CI: 1.03-1.17). Compared to individuals with low neuroticism and low PRS, those with both high neuroticism and high PRS had the greatest risk of lung cancer (HR=1.82, 95%CI: 1.51-2.20). Furthermore, there was a positive additive but no multiplicative interaction between neuroticism and genetic risk.
Conclusions Our findings suggest that neuroticism is associated with an elevated risk of incident lung cancer, which is strengthened by the genetic susceptibility to lung cancer. Further studies are necessary to elucidate underlying mechanisms.
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Affiliation(s)
- Xiaoxia Wei
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xiangxiang Jiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xu Zhang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xikang Fan
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Mengmeng Ji
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yanqian Huang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jing Xu
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Rong Yin
- Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Yuzhuo Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Lingbin Du
- Department of Cancer Prevention, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China
- Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Guangfu Jin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Lin Xu
- Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Zhibin Hu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Dong Hang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
- *Correspondence: Hongxia Ma, ; Dong Hang,
| | - Hongxia Ma
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
- Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, China
- *Correspondence: Hongxia Ma, ; Dong Hang,
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17
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Luca A, Cicero CE, Giuliano L, Sgroi R, Vancheri E, Terravecchia C, Squillaci R, Rascunà C, Donzuso G, Mostile G, Sciacca G, Zappia M, Nicoletti A. Obsessive–compulsive personality disorder in rapid eye movement sleep behavior disorder. Sci Rep 2022; 12:2401. [PMID: 35165341 PMCID: PMC8844273 DOI: 10.1038/s41598-022-06424-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 01/17/2022] [Indexed: 11/23/2022] Open
Abstract
Rapid eye movement sleep behavior disorder (RBD) is a common prodromic non-motor symptom of Parkinson’s disease (PD). Only few studies have evaluated the personality of RBD patients with conflicting results. Aim of the study was to evaluate the frequency of Personality Disorders (PeDs)in RBD. RBD patients, PD patients and healthy controls (HC) were enrolled. All the enrolled subjects underwent a full neurological examination. Motor symptoms were evaluated with the UPDRS-Motor Examination. PeDs were assessed with the Structured Clinical Interview for DSM-IV Personality Disorders (SCID-II). Twenty-nine RBD patients [14 men (48.3%); mean age 55.6 ± 11.1], 30 PD patients [17 men (56.7%); mean age 65.7 ± 10.7] and 30 HC [12 men (40%); mean age 65.7 ± 5.4] were enrolled in the study. PD patients had a disease duration of 4.5 ± 4.6 and presented a mean UPDRS-ME score of 26.7 ± 9.4. The most frequent PeDs was the Obsessive–Compulsive one (OCPeD); OCPeD was significantly more frequent in RBD (55.2%) patients than HC (13.3%; p-value < 0.001). No significant differences were found comparing the frequency of OCPeD in RBD patients to that in PD. In the present study, the prevalence of OCPeD in RBD patients was close to that reported in PD patients. Our data could suggest the existence of a common disease-specific RBD-PD personality profile.
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18
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Parkinson's disease and Behavioural Addiction: The susceptibilities and risks. Asian J Psychiatr 2022; 68:102960. [PMID: 34896771 DOI: 10.1016/j.ajp.2021.102960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 11/27/2021] [Accepted: 11/29/2021] [Indexed: 11/02/2022]
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19
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Terracciano A, Aschwanden D, Stephan Y, Cerasa A, Passamonti L, Toschi N, Sutin AR. Reply to: "Is Conscientiousness Related to the Risk of Parkinson's Disease?". Mov Disord 2021; 36:2216. [PMID: 34543470 DOI: 10.1002/mds.28744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 07/19/2021] [Indexed: 11/07/2022] Open
Affiliation(s)
- Antonio Terracciano
- Department of Geriatrics, Florida State University College of Medicine, Tallahassee, Florida, USA
| | - Damaris Aschwanden
- Department of Geriatrics, Florida State University College of Medicine, Tallahassee, Florida, USA
| | | | - Antonio Cerasa
- Institute for Biomedical Research and Innovation, National Research Council (IRIB-CNR), Messina, Italy.,S. Anna Institute, Crotone, Italy
| | - Luca Passamonti
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.,Istituto di Bioimmagini e Fisiologia Molecolare (IBFM), Consiglio Nazionale delle Ricerche (CNR), Milan, Italy
| | - Nicola Toschi
- Department of Biomedicine and Prevention, University "Tor Vergata", Rome, Italy.,A.A. Martinos Center for Biomedical Imaging-Harvard Medical School/MGH, Charlestown, Massachusetts, USA
| | - Angelina R Sutin
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, Florida, USA
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20
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Luca A, Nicoletti A, Zappia M. Neuroticism and Risk of Parkinson's Disease: A Meta-Analysis. Mov Disord 2021; 36:2215. [PMID: 34543469 DOI: 10.1002/mds.28746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 06/28/2021] [Indexed: 11/07/2022] Open
Affiliation(s)
- Antonina Luca
- Department of Medical, Surgical Sciences and Advanced Technologies, GF Ingrassia, University of Catania, Catania, Italy
| | - Alessandra Nicoletti
- Department of Medical, Surgical Sciences and Advanced Technologies, GF Ingrassia, University of Catania, Catania, Italy
| | - Mario Zappia
- Department of Medical, Surgical Sciences and Advanced Technologies, GF Ingrassia, University of Catania, Catania, Italy
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