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Arslan-Sarımehmetoğlu E, Gönen-Şentürk S. Evaluation of Depression and Perceived Voice Handicap Through Self-Report in Individuals With Alzheimer's Disease. J Voice 2024:S0892-1997(24)00417-X. [PMID: 39674784 DOI: 10.1016/j.jvoice.2024.11.033] [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: 09/18/2024] [Revised: 11/18/2024] [Accepted: 11/20/2024] [Indexed: 12/16/2024]
Abstract
OBJECTIVES To assess depression and perception of vocal handicap in individuals with and without early-stage Alzheimer's disease (AD) using a self-report method. METHODS It was conducted between April 2024 and June 2024 with individuals who visited the Internal Medicine Clinics of Çankırı State Hospital, including those with AD (study group: n = 41) and those without AD (with normal cognitive levels) (control group: n = 50). 41.46% (n = 17) of the study group were female, 53.54% (n = 24) were male. 56% (n = 28) of the control group were female, 54% (n = 22) were male. The Personal and Medical Characteristics Information Form, The Standardized Mini-Mental State Examination, the Geriatric Depression Scale (GDS), and the Voice Handicap Index-10 (VHI-10) were used. For the perception of vocal handicap, participants were asked to respond to the question, "How do you describe your voice at the moment?" by choosing one of two options: good or bad, to express their opinion. RESULTS The study group scored significantly higher on the GDS than did the control group (t = (89) = 3.043, P = 0.03). Similar results were obtained in the VHI-10 scores of the two groups (t = (89) = 0.892, P > 0.05). The study group reported a worse perception in their responses to the question regarding perceived of vocal handicap (χ²(1) = 28.145, P < 0.001). A significant relationship was found between the GDS results of the study group and the perceived vocal handicap (χ2(2) = 20.246, P < 0.001). A moderate positive correlation was found between VHI-10 and GDS (r = 0.508, P = 0.001). CONCLUSION The voice is an important tool that individuals use for communication with their environment. While individuals with AD are at risk for depression, the current impact of the disease also affects their perception of vocal handicap. It is thought that broad-spectrum evaluations could be guiding for healthcare professionals working in geriatrics to better understand AD.
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Affiliation(s)
- Emel Arslan-Sarımehmetoğlu
- Department of Speech and Language Therapy, Faculty of Health Sciences, Ankara Medipol University, Ankara, Turkey.
| | - Seher Gönen-Şentürk
- Department of Internal Medicine Nursing, Faculty of Health Sciences, Çankırı Karatekin University, Çankırı, Turkey.
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Marshall GA. Neuropsychiatric Symptoms in Dementia. Continuum (Minneap Minn) 2024; 30:1744-1760. [PMID: 39620842 DOI: 10.1212/con.0000000000001501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2024]
Abstract
OBJECTIVE This article discusses the prevalence, pathophysiology, assessment, and management of neuropsychiatric symptoms in patients with dementia. LATEST DEVELOPMENTS There is a growing body of evidence localizing neuropsychiatric symptoms in dementia to frontal circuits in the brain, as well as relating them to pathologic changes seen in different dementias. Although very few medications have been approved by the US Food and Drug Administration (FDA) for the treatment of neuropsychiatric symptoms in dementia, there are more clinical trials showing the benefit of antidepressants, stimulants, and antipsychotics. In line with that trend, in 2023, the FDA approved the use of brexpiprazole, an atypical antipsychotic, for the treatment of agitation in Alzheimer disease dementia. ESSENTIAL POINTS Neuropsychiatric symptoms are a core feature of all dementias and often emerge before cognitive symptoms manifest. They are highly clinically significant symptoms that disrupt the lives of patients and care partners and greatly influence the decision to place patients in long-term care facilities. The first line of treatment for neuropsychiatric symptoms in dementia is nonpharmacologic behavioral modification, but clinicians often must supplement this intervention with medications using an empiric approach.
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Zhang Z, Liu Y, Li Y, Geng T, Chen S, Wu S, Gao X. Association between perceived olfactory dysfunction and all-cause mortality in Chinese adults: A prospective community-based study. J Glob Health 2024; 14:04237. [PMID: 39545350 PMCID: PMC11565469 DOI: 10.7189/jogh.14.04237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2024] Open
Abstract
Background Olfactory dysfunction has been suggested to be associated with all-cause mortality. Yet, there is a lack of large-scale cohorts to study this relationship. Methods Using data from the Kailuan cohort, we assessed 97 327 Chinese adults for perceived olfactory dysfunction at baseline and gathered mortality data from government records. We used Cox proportional hazards regression models to analyse the risk of all-cause mortality associated with perceived olfactory dysfunction, yielding hazard ratios (HRs) and 95% confidence intervals (CIs) with adjustment for multiple potential confounders. Results Over a median follow-up of 6.4-year, we recorded a total of 3903 deaths. Individuals reporting perceived olfactory dysfunction had a higher risk of mortality (adjusted HR = 1.42; 95% CI = 1.02-2.00) compared to those without the dysfunction. In sensitivity analyses, we found similar results after excluding participants with pre-existing obesity, cardiovascular diseases, those younger than 50 years old, individuals diagnosed with cancer or stroke during follow-up, and those who died within two years of follow-up. Conclusions Perceived olfactory dysfunction was associated with a high risk of all-cause mortality among Chinese adults. Our study is limited by failure to include a national-representative sample and misclassification of exposure assessment due to use of a subjective question to assess olfactory dysfunction. Further studies with objective are warranted to replicate our findings and understand the underlying mechanisms.
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Affiliation(s)
- Zhicheng Zhang
- School of Public Health, Institute of Nutrition, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yesong Liu
- Department of Neurology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Yaqi Li
- School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Tingting Geng
- School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Xiang Gao
- School of Public Health, Institute of Nutrition, Zhongshan Hospital, Fudan University, Shanghai, China
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Ward DD, Flint JP, Littlejohns TJ, Foote IF, Canevelli M, Wallace LMK, Gordon EH, Llewellyn DJ, Ranson JM, Hubbard RE, Rockwood K, Stolz E. Frailty Trajectories Preceding Dementia in the US and UK. JAMA Neurol 2024:2826165. [PMID: 39527039 PMCID: PMC11555573 DOI: 10.1001/jamaneurol.2024.3774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Accepted: 09/12/2024] [Indexed: 11/16/2024]
Abstract
Importance An accessible marker of both biological age and dementia risk is crucial to advancing dementia prevention and treatment strategies. Although frailty is a candidate for that role, the nature of the relationship between frailty and dementia is not well understood. Objective To clarify the temporal relationship between frailty and incident dementia by investigating frailty trajectories in the years preceding dementia onset. Design, Setting, and Participants Participant data came from 4 prospective cohort studies: the English Longitudinal Study of Ageing, the Health and Retirement Study, the Rush Memory and Aging Project, and the National Alzheimer Coordinating Center. Data were collected between 1997 and 2024 and were analyzed from July 2023 to August 2024. The settings were retirement communities, national-level surveys, and a multiclinic-based cohort. Included individuals were 60 years or older and without cognitive impairment at baseline. Included individuals also had data on age, sex, education level, and ethnicity and a frailty index score calculated at baseline. Exposure Frailty was the main exposure, with participants' degrees of frailty quantified using retrospectively calculated frailty index scores. Main Outcomes and Measures Incident all-cause dementia ascertained through physician-derived diagnoses, self- and informant-report, and estimated classifications based on combinations of cognitive tests. Results The participant number before exclusions was 87 737. After exclusions, data from 29 849 participants (mean [SD] age, 71.6 [7.7] years; 18 369 female [62%]; 257 963 person-years of follow-up; 3154 cases of incident dementia) were analyzed. Bayesian generalized linear mixed regression models revealed accelerations in frailty trajectories 4 to 9 years before incident dementia. Overall, frailty was positively associated with dementia risk (adjusted hazard ratios [aHRs] ranged from 1.18; 95% CI, 1.13-1.24 to 1.73; 95% CI, 1.57-1.92). This association held among participants whose time between frailty measurement and incident dementia exceeded the identified acceleration period (aHRs ranged from 1.18; 95% CI, 1.12-1.23 to 1.43; 95% CI, 1.14-1.80). Conclusions and Relevance These findings suggest that frailty measurements may be used to identify high-risk population groups for preferential enrolment into clinical trials for dementia prevention and treatment. Frailty itself may represent a useful upstream target for behavioral and societal approaches to dementia prevention.
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Affiliation(s)
- David D. Ward
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
- Australian Frailty Network, The University of Queensland, Woolloongabba, Queensland, Australia
| | - Jonny P. Flint
- Advanced Care Research Centre School of Engineering, College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, United Kingdom
- Alzheimer Scotland Dementia Research Centre, The University of Edinburgh, Edinburgh, United Kingdom
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Thomas J. Littlejohns
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Isabelle F. Foote
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder
| | - Marco Canevelli
- Department of Human Neuroscience, Sapienza University, Rome, Italy
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
| | | | - Emily H. Gordon
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
- Australian Frailty Network, The University of Queensland, Woolloongabba, Queensland, Australia
| | - David J. Llewellyn
- University of Exeter Medical School, Exeter, United Kingdom
- Alan Turing Institute, London, United Kingdom
| | | | - Ruth E. Hubbard
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
- Australian Frailty Network, The University of Queensland, Woolloongabba, Queensland, Australia
| | - Kenneth Rockwood
- Geriatric Medicine & Neurology, Nova Scotia Health, Halifax, Nova Scotia, Canada
- Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Erwin Stolz
- Institute of Social Medicine and Epidemiology, Medical University of Graz, Graz, Austria
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Huszár Z, Solomon A, Engh MA, Koszovácz V, Terebessy T, Molnár Z, Hegyi P, Horváth A, Mangialasche F, Kivipelto M, Csukly G. Association of modifiable risk factors with progression to dementia in relation to amyloid and tau pathology. Alzheimers Res Ther 2024; 16:238. [PMID: 39462394 PMCID: PMC11515263 DOI: 10.1186/s13195-024-01602-9] [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: 06/26/2024] [Accepted: 10/14/2024] [Indexed: 10/29/2024]
Abstract
BACKGROUND Dementia preventive interventions targeting multiple modifiable risk factors are a promising approach. However, the impact of modifiable risk factors in the presence of beta-amyloid or phosphorylated-tau (p-tau) pathology is unclear. METHODS The objective of the study was to examine the role of modifiable risk factors (vascular factors, depression, and smoking) in the progression to mild cognitive impairment (MCI) or dementia among 434 cognitively unimpaired (CU) and 611 individuals with MCI from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Vascular risk factors were summarized with the Cardiovascular Risk Factors, Aging, and Dementia (CAIDE) score, dichotomized into higher versus lower risk. Depression and smoking (yes/no) were categorised according to medical history or current symptoms. Analyses were stratified by beta-amyloid negative (A-) and positive (A +), p-tau negative (T-) and positive (T +), or beta-amyloid and p-tau negative (A-T-) and positive (A + T +) biomarker status. Cox proportional hazard models were adjusted for age, sex, education, baseline MMSE score, baseline hippocampal volume and ApoE4 carrier status. RESULTS Higher CAIDE score was associated with increased risk of progression to all-cause dementia in most MCI subgroups: adjusted hazard ratios (aHR) [95% CI] were 3.1 [1.43; 6.53] in the A- subgroup, 1.7 [1.20-2.27] in T + , 2.6 [1.06-6.59] in A-T-, and 1.6 [1.15-2.22] in the A + T + subgroup. Smoking (yes/no) was associated with increased dementia aHR in the A + MCI subgroup: 1.6 [1.07-2.34]. Depression increased dementia aHR in the T + MCI subgroup: 1.5 [1.06-2.02]. No significant associations were found in the CU biomarker subgroups. CONCLUSION Addressing modifiable risk factors carries an important potential for reducing the risk of dementia even after the onset of Alzheimer's pathology. Knowledge of biomarker status can further optimize prevention strategies.
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Affiliation(s)
- Zsolt Huszár
- Centre for Translational Medicine, Semmelweis University, Üllői Út 26, Budapest, Hungary
- Department of Psychiatry and Psychotherapy, Semmelweis University, Balassa U. 6, Budapest, 1083, Hungary
| | - Alina Solomon
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
| | - Marie Anne Engh
- Centre for Translational Medicine, Semmelweis University, Üllői Út 26, Budapest, Hungary
| | - Vanda Koszovácz
- Department of Psychiatry and Psychotherapy, Semmelweis University, Balassa U. 6, Budapest, 1083, Hungary
| | - Tamás Terebessy
- Centre for Translational Medicine, Semmelweis University, Üllői Út 26, Budapest, Hungary
| | - Zsolt Molnár
- Centre for Translational Medicine, Semmelweis University, Üllői Út 26, Budapest, Hungary
- Department of Anesthesiology and Intensive Therapy, Semmelweis University, Üllői 78/A, Budapest, Hungary
- Department of Anesthesiology and Intensive Therapy, Poznan University of Medical Sciences, 49 Przybyszewskiego St, Poznan, Poland
| | - Péter Hegyi
- Centre for Translational Medicine, Semmelweis University, Üllői Út 26, Budapest, Hungary
- Institute for Translational Medicine, Medical School, University of Pécs, Szigeti U. 12, Pécs, Hungary
- Institute of Pancreatic Diseases, Semmelweis University, Tömő 25-29, Budapest, Hungary
- Translational Pancreatology Research Group, Interdisciplinary Centre of Excellence for Research Development and Innovation, University of Szeged, 6728, Szeged, Hungary
| | - András Horváth
- Centre for Translational Medicine, Semmelweis University, Üllői Út 26, Budapest, Hungary
- Neurocognitive Research Center, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
- Department of Anatomy, Histology and Embryology, Semmelweis University, Budapest, Hungary
- Research Centre for Natural Sciences, Hungarian Research Network, Budapest, Hungary
| | - Francesca Mangialasche
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Theme Inflammation and Aging, Medical Unit Aging, Karolinska University Hospital, Stockholm, Sweden
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Theme Inflammation and Aging, Medical Unit Aging, Karolinska University Hospital, Stockholm, Sweden
| | - Gábor Csukly
- Centre for Translational Medicine, Semmelweis University, Üllői Út 26, Budapest, Hungary.
- Department of Psychiatry and Psychotherapy, Semmelweis University, Balassa U. 6, Budapest, 1083, Hungary.
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Kim K, Jang YJ, Shin JH, Park MJ, Kim HS, Seong JK, Jeon HJ. Amyloid deposition and its association with depressive symptoms and cognitive functions in late-life depression: a longitudinal study using amyloid-β PET images and neuropsychological measurements. Alzheimers Res Ther 2024; 16:232. [PMID: 39427221 PMCID: PMC11490031 DOI: 10.1186/s13195-024-01562-0] [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: 06/16/2024] [Accepted: 08/18/2024] [Indexed: 10/21/2024]
Abstract
BACKGROUND Although depression is linked to an increased risk of dementia, the association between late-onset depression (LOD) and amyloid burden remains unclear. This study aimed to determine amyloid deposition in patients with LOD compared to healthy controls (HC) using amyloid-beta (Aβ) positron emission tomography (PET) images and neuropsychological assessments. METHODS Forty patients first diagnosed with major depressive disorder after the age of 60 (LOD) and twenty-one healthy volunteers (HC) were enrolled. Depression and anxiety were evaluated using the 17-item Hamilton Depression Scale, Hamilton Anxiety Rating Scale, and Clinical Global Impression Scale. Cognitive function was assessed using the Korean versions of the Mini-Mental Status Examination, Montreal Cognitive Assessment, and Seoul Neuropsychological Screening Battery at baseline and 3-month follow-up. 18F-florbetapir PET images were co-registered with T1-weighted magnetic resonance images. RESULTS There was no significant difference in Aβ deposition between LOD and HC groups. No significant correlation between Aβ burden and depressive symptom severity was found in LOD patients. Higher somatic anxiety was correlated with lower Aβ burden in multiple brain regions, including the left inferior frontal lobe (p = 0.009), right anterior cingulate (p = 0.003), and right superior frontal lobe (p = 0.009). Despite cognitive recovery in areas such as attention (Digit Span Forward, p = 0.026), memory (Auditory Verbal Learning Test Recall Total, p = 0.010; Rey Complex Figure Test Delayed Recall, p = 0.039), and frontal executive function (Contrasting Program, p = 0.033) after three months of antidepressant treatment, cognitive improvement showed no association with amyloid deposition. CONCLUSIONS These findings suggest distinct mechanisms may underlie amyloid deposition in neurodegenerative changes associated with depression. While amyloid burden in specific brain regions negatively correlated with somatic anxiety, it showed no significant correlation with the severity of depression or overall cognitive function.
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Affiliation(s)
- Kiwon Kim
- Workplace Mental Health Institute, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yoo Jin Jang
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jeong-Hyeon Shin
- Bio Medical Research Center, Bio Medical and Health Division, Korea Testing Laboratory, Seoul, South Korea
| | - Mi Jin Park
- Department of Psychiatry, Seoul St Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Hyun Soo Kim
- Department of Psychiatry, Dong-A University College of Medicine, Busan, South Korea
| | - Joon-Kyung Seong
- School of Biomedical Engineering, College of Health Science, Korea University, Seoul, South Korea
- Department of Artificial Intelligence, Korea University, Seoul, South Korea
| | - Hong Jin Jeon
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
- Department of Health Sciences and Technology, Department of Medical Device Management and Research, and Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, South Korea.
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Yan Y, Xiang H, Wang M, Wei J, Fan H, Du Y, Tao Y, Dou Y, Ma Y, Yang X, Ma X. Effects of depression and cognitive impairment on increased risks of incident dementia: a prospective study from three elderly cohorts. Transl Psychiatry 2024; 14:427. [PMID: 39379348 PMCID: PMC11461656 DOI: 10.1038/s41398-024-03125-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 09/19/2024] [Accepted: 09/24/2024] [Indexed: 10/10/2024] Open
Abstract
Depression is usually accompanied with cognitive impairment and increases risk of incident dementia. However, evidence has been limited on the effect size of depression with cognitive impairment and their synergistic effect on future dementia. To explore this, we examined three large cross-country population-based prospective cohorts. Depressive symptoms were assessed by epidemiologic scale, while cognitive impairment was defined by subjective cognitive tests. Dementia was ascertained by self-reported physician-diagnosed conditions. Cox proportional hazard models were employed to determine the hazard ratio (HR) and 95% confidence interval (95% CI), with adjustments of potential confounding variables. Addictive and multiplicative interactions were calculated to evaluate the synergistic effect. A total of 64,706 participants were included at baseline (mean age: 63.9, female: 55.2%), where 4197 (6.5%) individuals had depressive symptoms only, 28,175 (43.5%) individuals had cognitive impairment only, 11,564 (17.9%) individuals had both, and 20,770 (32.1%) individuals had neither. Compared with the neither group, all the other three groups had higher risks of subsequent dementia (depression only: HR 1.65, 95% CI 1.26-2.17; cognitive impairment only: HR 2.71, 95% CI 2.33-3.14; depression with cognitive impairment: HR 3.51, 95% CI 2.95-4.17). There was insignificant additive (RERI, 0.15, 95% CI -0.45-0.75; AP, 0.042, 95% CI -0.13-0.21; SI, 1.06, 95% CI 0.83-1.37) and multiplicative (0.78, 95% CI 0.58-1.06) interaction between depression and cognitive impairment on subsequent dementia. We found depression with cognitive impairment has higher risks of dementia than either condition alone and no significant synergistic effect exists between these two factors.
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Affiliation(s)
- Yushun Yan
- Mental Health Center and Institute of Psychiatry, West China Hospital, Sichuan University, Chengdu, China
| | - Hailin Xiang
- Mental Health Center and Institute of Psychiatry, West China Hospital, Sichuan University, Chengdu, China
| | - Min Wang
- Mental Health Center and Institute of Psychiatry, West China Hospital, Sichuan University, Chengdu, China
| | - Jinxue Wei
- Mental Health Center and Institute of Psychiatry, West China Hospital, Sichuan University, Chengdu, China
| | - Huanhuan Fan
- Mental Health Center and Institute of Psychiatry, West China Hospital, Sichuan University, Chengdu, China
| | - Yue Du
- Mental Health Center and Institute of Psychiatry, West China Hospital, Sichuan University, Chengdu, China
| | - Yuanmei Tao
- Mental Health Center and Institute of Psychiatry, West China Hospital, Sichuan University, Chengdu, China
| | - Yikai Dou
- Mental Health Center and Institute of Psychiatry, West China Hospital, Sichuan University, Chengdu, China
| | - Yangrui Ma
- School of Arts and Sciences, Brandeis University, Waltham, MA, 02453, USA
| | - Xiao Yang
- Mental Health Center and Institute of Psychiatry, West China Hospital, Sichuan University, Chengdu, China.
| | - Xiaohong Ma
- Mental Health Center and Institute of Psychiatry, West China Hospital, Sichuan University, Chengdu, China.
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Kallström A, Giedraitis V, Franzon K, Löwenmark M, Kilander L, Boström G. Characteristics of and Risk Factors for Depressive Symptoms Preceding Dementia: A Study of 82-Year-Old Men From the Uppsala Longitudinal Study of Adult Men. Int J Geriatr Psychiatry 2024; 39:e70000. [PMID: 39439055 DOI: 10.1002/gps.70000] [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: 02/08/2024] [Revised: 09/24/2024] [Accepted: 10/14/2024] [Indexed: 10/25/2024]
Abstract
BACKGROUND Depression and dementia are known to be associated. The identification of characteristics distinguishing depression prodromal to dementia from other depressive symptoms would be of value for early identification of dementia. The study of risk factors for depressive symptoms prodromal to dementia could improve preventive care and provide clues to the causes of dementia. METHOD Dementia-free 82-year-old participants were stratified into groups that did (n = 126) and did not (n = 378) subsequently develop dementia. Examinations took place from 2003 to 2005 and follow-up ended 1 January 2015. Their baseline characteristics and depressive symptoms, measured using the 15-item Geriatric Depression Scale (GDS-15), were compared. Multivariate regression analyses were performed for the two groups separately, with the total GDS-15 score as the dependent variable. RESULTS The groups did not differ significantly in answers to any of the GDS-15 questions, or mean ± SD score, which was 2.4 ± 2.5 among those who developed dementia and 2.1 ± 2.3 among those who did not. (p = 0.33). Stroke before the age of 82 years and the inability to use stairs had significant impacts on the GDS-15 scores in both groups. For those who did not develop dementia, age, dependence in activities of daily living, and cancer also had significant impacts. Cancer had opposite associations with depressive symptoms in the two groups. CONCLUSIONS No difference was found in depressive symptoms preceding and not preceding dementia using the GDS-15. The results suggest that risk factors for depressive symptoms may differ depending on whether they precede dementia.
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Affiliation(s)
- Angelica Kallström
- School of Medical Sciences, Örebro University, Örebro, Sweden
- Department of Public Health and Caring Sciences, Clinical Geriatrics, Uppsala University, Uppsala, Sweden
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences, Clinical Geriatrics, Uppsala University, Uppsala, Sweden
| | - Kristin Franzon
- Department of Public Health and Caring Sciences, Clinical Geriatrics, Uppsala University, Uppsala, Sweden
| | - Malin Löwenmark
- Department of Public Health and Caring Sciences, Clinical Geriatrics, Uppsala University, Uppsala, Sweden
| | - Lena Kilander
- Department of Public Health and Caring Sciences, Clinical Geriatrics, Uppsala University, Uppsala, Sweden
| | - Gustaf Boström
- Department of Public Health and Caring Sciences, Clinical Geriatrics, Uppsala University, Uppsala, Sweden
- Centre for Clinical Research, Uppsala University, Västmanland County Hospital, Västerås, Sweden
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9
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Brown MJ, Adkins-Jackson PB, Sayed L, Wang F, Leggett A, Ryan LH. The Worst of Times: Depressive Symptoms Among Racialized Groups Living With Dementia and Cognitive Impairment During the COVID-19 Pandemic. J Aging Health 2024; 36:535-545. [PMID: 38128585 PMCID: PMC11542616 DOI: 10.1177/08982643231223555] [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: 12/23/2023]
Abstract
Objective: To explore differences in depressive symptoms for older adults (Black, Latinx, and White) by cognitive status during the 2020 COVID-19 pandemic. Methods: Data from the Health and Retirement Study identified older adults as cognitively normal, cognitively impaired without dementia (CIND), and persons living with dementia (PLWD). Multiple linear regression analyses examined associations between cognitive status and depressive symptoms among these racialized groups. Results: Compared to the cognitively normal older adults racialized as Black, those with CIND reported higher depressive symptoms during the pandemic (overall and somatic) and PLWD had higher somatic symptoms (p < .01). Older adults racialized as White with CIND reported higher somatic (p < .01) symptoms compared to cognitively normal older adults racialized as White. Discussion: The COVID-19 pandemic was a challenging event among older adults racialized as Black with CIND and PLWD. Future studies should examine if these depressive symptoms persist over time.
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Affiliation(s)
- Monique J Brown
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Paris B Adkins-Jackson
- Departments of Epidemiology and Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Linda Sayed
- James Madison College and College of Human Medicine, Michigan State University, East Lansing, MI, USA
| | - Fei Wang
- College of Social Work, University of Tennessee, Knoxville, TN, USA
| | - Amanda Leggett
- Department of Psychology, Wayne State University, Detroit, MI, USA
| | - Lindsay H Ryan
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
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You J, Guo Y, Wang YJ, Zhang Y, Wang HF, Wang LB, Kang JJ, Feng JF, Yu JT, Cheng W. Clinical trajectories preceding incident dementia up to 15 years before diagnosis: a large prospective cohort study. Mol Psychiatry 2024; 29:3097-3105. [PMID: 38678085 DOI: 10.1038/s41380-024-02570-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 04/29/2024]
Abstract
BACKGROUND Dementia has a long prodromal stage with various pathophysiological manifestations; however, the progression of pre-diagnostic changes remains unclear. We aimed to determine the evolutional trajectories of multiple-domain clinical assessments and health conditions up to 15 years before the diagnosis of dementia. METHODS Data was extracted from the UK-Biobank, a longitudinal cohort that recruited over 500,000 participants from March 2006 to October 2010. Each demented subject was matched with 10 healthy controls. We performed logistic regressions on 400 predictors covering a comprehensive range of clinical assessments or health conditions. Their evolutional trajectories were quantified using adjusted odds ratios (ORs) and FDR-corrected p-values under consecutive timeframes preceding the diagnosis of dementia. FINDINGS During a median follow-up of 13.7 [Interquartile range, IQR 12.9-14.2] years until July 2022, 7620 subjects were diagnosed with dementia. In general, upon approaching the diagnosis, demented subjects witnessed worse functional assessments and a higher prevalence of health conditions. Associations up to 15 years preceding the diagnosis comprised declined physical strength (hand grip strength, OR 0.65 [0.63-0.67]), lung dysfunction (peak expiratory flow, OR 0.78 [0.76-0.81]) and kidney dysfunction (cystatin C, OR 1.13 [1.11-1.16]), comorbidities of coronary heart disease (OR 1.78 [1.67-1.91]), stroke (OR 2.34 [2.1-1.37]), diabetes (OR 2.03 [1.89-2.18]) and a series of mental disorders. Cognitive functions in multiple tests also demonstrate decline over a decade before the diagnosis. Inadequate activity (3-5 year, overall time of activity, OR 0.82 [0.73-0.92]), drowsiness (3-5 year, sleep duration, OR 1.13 [1.04-1.24]) and weight loss (0-5 year, weight, OR 0.9 [0.83-0.98]) only exhibited associations within five years before the diagnosis. In addition, serum biomarkers of enriched endocrine, dysregulations of ketones, deficiency of brand-chain amino acids and polyunsaturated fatty acids were found in a similar prodromal time window and can be witnessed as the last pre-symptomatic conditions before the diagnosis. INTERPRETATION Our findings present a comprehensive temporal-diagnostic landscape preceding incident dementia, which could improve selection for preventive and early disease-modifying treatment trials.
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Affiliation(s)
- Jia You
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Yu Guo
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Yu-Jia Wang
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Yi Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Hui-Fu Wang
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Lin-Bo Wang
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Ju-Jiao Kang
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
- Zhangjiang Fudan International Innovation Center, Shanghai, China.
- School of Data Science, Fudan University, Shanghai, China.
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Zhejiang, China.
| | - Jin-Tai Yu
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Zhejiang, China.
- Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center, Shanghai, China.
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Aunsmo RH, Strand BH, Anstey KJ, Bergh S, Kivimäki M, Köhler S, Krokstad S, Livingston G, Matthews FE, Selbæk G. Associations between depression and anxiety in midlife and dementia more than 30 years later: The HUNT Study. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e70036. [PMID: 39611126 PMCID: PMC11603697 DOI: 10.1002/dad2.70036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 09/24/2024] [Accepted: 10/15/2024] [Indexed: 11/30/2024]
Abstract
INTRODUCTION It is unclear how midlife depression and anxiety affect dementia risk. We examined this in a Norwegian cohort followed for 30 years. METHODS Dementia status at age 70+ in the fourth wave of the Trøndelag Health Study (HUNT4, 2017-2019, N = 9745) was linked with anxiety and depression from HUNT1 (1984-1985), HUNT2 (1995-1997), HUNT3 (2006-2008), and HUNT4. Longitudinal anxiety and depression score, and prevalence trajectories during 1984-2019 by dementia status at HUNT4 were fitted using mixed effects regression adjusting for age, sex, education, and lifestyle and health factors. RESULTS Dementia at HUNT4 was associated with higher case prevalence at all waves, from 1.9 percentage points (pp) (95% CI: 0.1-3.7) higher at HUNT1 to 7.6 pp (95% CI: 5.7-9.6) higher at HUNT4. DISCUSSION Our findings show that depression and anxiety was more common more than 30 years before dementia onset in those who later developed dementia. Highlights Older individuals with dementia had a higher prevalence of mixed anxiety- and depressive symptoms (A + D), both concurrently with and more than three decades prior to their dementia diagnosis.Older individuals with dementia had higher levels of anxiety, both concurrently and up to two decades prior to their dementia diagnosis.Depressive symptoms increased by time among those who developed dementia, but not among others.Results were similar for all cause dementia, Alzheimer's disease, and other types of dementia; however, for vascular dementia, the difference was not significant until dementia was present.
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Affiliation(s)
- Ragnhild Holmberg Aunsmo
- Faculty of Medicine, Institute of Clinical MedicineUniversity of OsloOsloNorway
- Norwegian Centre for Ageing and HealthVestfold Hospital TrustTønsbergNorway
- Verdal MunicipalityVerdalNorway
| | - Bjørn Heine Strand
- Norwegian Centre for Ageing and HealthVestfold Hospital TrustTønsbergNorway
- Department of Geriatric MedicineOslo University HospitalOsloNorway
- Department of Physical Health and AgeingNorwegian Institute of Public HealthOsloNorway
| | - Kaarin J. Anstey
- UNSW Ageing Futures InstituteUniversity of New South WalesSydneyNew South WalesAustralia
- Research InstituteNeuroscience Research AustraliaRandwickNew South WalesAustralia
| | - Sverre Bergh
- Norwegian Centre for Ageing and HealthVestfold Hospital TrustTønsbergNorway
- Research centre for Age‐related Functional Decline and DiseaseInnlandet Hospital TrustOttestadNorway
| | - Mika Kivimäki
- Department of Epidemiology and Public HealthUniversity College LondonLondonUK
- Centres of Expertise for Research and ServicesFinnish Institute of Occupational HealthHelsinkiFinland
| | - Sebastian Köhler
- Alzheimer Center LimburgDept Psychiatry & NeuropsychologyMaastricht UniversityMaastrichtthe Netherlands
- Institute for Mental Health and NeuroscienceMaastricht UniversityMaastrichtthe Netherlands
| | - Steinar Krokstad
- HUNT Research CentreDepartment of Public Health and NursingNorwegian University of Science and TechnologyLevangerNorway
- Department of Public Health and NursingUniversity of Science and TechnologyTrondheimNorway
- Levanger HospitalNord‐Trøndelag Hospital TrustLevangerNorway
| | | | - Fiona E. Matthews
- Institute for Clinical and Applied Health ResearchUniversity of HullHullUK
| | - Geir Selbæk
- Faculty of Medicine, Institute of Clinical MedicineUniversity of OsloOsloNorway
- Norwegian Centre for Ageing and HealthVestfold Hospital TrustTønsbergNorway
- Department of Geriatric MedicineOslo University HospitalOsloNorway
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Luo H, Hartikainen S, Lin J, Zhou H, Tapiainen V, Tolppanen AM. Predicting Alzheimer's disease from cognitive footprints in mid and late life: How much can register data and machine learning help? Int J Med Inform 2024; 190:105540. [PMID: 38972231 DOI: 10.1016/j.ijmedinf.2024.105540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 06/12/2024] [Accepted: 07/02/2024] [Indexed: 07/09/2024]
Abstract
BACKGROUND Real-world data with decades-long medical records are increasingly available alongside the growing adoption of machine learning in healthcare research. We evaluated the performance of machine learning models in predicting the risk of Alzheimer's disease (AD) using data from the Finnish national registers. METHODS We conducted a case-control study using data from the Finnish MEDALZ (Medication use and Alzheimer's disease) study. Altogether 56,741 individuals with incident AD diagnosis (age ≥ 65 years at diagnosis and born after 1922) and their 1:1 age-, sex-, and region of residence-matched controls were included. The association of risk factors, evaluated at different age periods (45-54, 55-64, 65+), and AD were assessed with logistic regression. Predictive accuracies of logistic regressions were compared with seven machine learning models (L1-regularized logistic regression, Naive bayes, Decision tree, Random Forest, Multilayer perceptron, XGBoost, and LightGBM). FINDINGS 63.5 % of cases and controls were females and the mean age was 79.1 (SD = 5.1). The strongest associations with AD were observed for head injuries at age 55-64 (OR, 95 % CI 1.33, 1.19-1.48) and 65+ (1.31, 1.23-1.40), followed by antidepressant use (1.30, 1.22-1.38) at 55-64 and antipsychotic use (1.27, 1.19-1.35) at 65+. The predictive accuracies of all models were low, with the best performance (AUC 0.603) observed in Random Forest for predicting AD onset at age 65-69. INTERPRETATION Although significant associations were identified between many risk factors and AD, the low predictive accuracies suggest that specialised healthcare diagnosis data is not sufficient for predicting AD and linkage with other data sources is needed.
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Affiliation(s)
- Hao Luo
- Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China; Sau Po Centre on Ageing, The University of Hong Kong, Hong Kong, China; Kuopio Research Center of Geriatric Care, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Sirpa Hartikainen
- Kuopio Research Center of Geriatric Care, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Julian Lin
- Kuopio Research Center of Geriatric Care, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Huiquan Zhou
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | - Vesa Tapiainen
- Kuopio Research Center of Geriatric Care, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Anna-Maija Tolppanen
- Kuopio Research Center of Geriatric Care, School of Pharmacy, University of Eastern Finland, Kuopio, Finland.
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Lee MK, Kim SW, Kim H, Park MJ, Fava M, Mischoulon D, Jeon HJ. Association between cerebral artery stenosis and depressive symptoms in elderly patients. J Affect Disord 2024; 361:53-58. [PMID: 38844169 DOI: 10.1016/j.jad.2024.06.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 05/31/2024] [Accepted: 06/03/2024] [Indexed: 06/13/2024]
Abstract
OBJECTIVE To examine the association between cerebral artery stenosis and depressive symptoms in elderly patients. METHODS The study participants were 365 patients aged ≥65 years who visited the psychiatric outpatient clinic, Samsung Medical Center between January 1, 2000, and December 31, 2019, and were diagnosed with depressive disorder. They had brain imaging tests including magnetic resonance angiography (MRA), psychological evaluations including the 15-item Geriatric Depression Scale (GDS-15), and lab tests. Individuals' cerebral artery stenosis was identified and the association with significant depressive symptoms was examined. RESULTS Of the 365 subjects, 108 had at least one location of cerebral artery stenosis (29.6 %). The mean score of GDS-15 in the stenosis group was 8.1 (SD, 3.8), higher than the mean GDS-15 score of 6.5 (SD, 4.0) for the group without stenosis (p < 0.001). Compared to no middle cerebral artery (MCA) stenosis, having MCA stenosis was associated with significant depressive symptoms (p = 0.005). Compared to no posterior cerebral artery (PCA) stenosis, having left PCA stenosis was associated with significant depressive symptoms (p = 0.022). In the multivariable linear regression analysis, only bilateral MCA stenosis had a positive association with the score of GDS-15 (p = 0.013). CONCLUSION Bilateral MCA stenosis and left PCA stenosis are associated with significant depressive symptoms among elderly patients, with bilateral MCA stenosis positively associated with the severity of depression.
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Affiliation(s)
- Min Kang Lee
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Seung Woo Kim
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hyewon Kim
- Department of Psychiatry, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Mi Jin Park
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Maurizio Fava
- Depression Clinical and Research Program, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - David Mischoulon
- Depression Clinical and Research Program, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Hong Jin Jeon
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea; Department of Health Sciences & Technology, Department of Medical Device Management & Research, and Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea.
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14
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Swann P, Mirza-Davies A, O'Brien J. Associations Between Neuropsychiatric Symptoms and Inflammation in Neurodegenerative Dementia: A Systematic Review. J Inflamm Res 2024; 17:6113-6141. [PMID: 39262651 PMCID: PMC11389708 DOI: 10.2147/jir.s385825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Accepted: 08/30/2024] [Indexed: 09/13/2024] Open
Abstract
Background Neuropsychiatric symptoms are common in dementia and linked to adverse outcomes. Inflammation is increasingly recognized as playing a role as a driver of early disease progression in Alzheimer's disease (AD) and related dementias. Inflammation has also been linked to primary psychiatric disorders, however its association with neuropsychiatric symptoms in neurodegenerative dementias remains uncertain. Methods We conducted a systematic literature review investigating associations between inflammation and neuropsychiatric symptoms in neurodegenerative dementias, including AD, Lewy body, Frontotemporal, Parkinson's (PD) and Huntington's disease dementias. Results Ninety-nine studies met our inclusion criteria, and the majority (n = 59) investigated AD and/or mild cognitive impairment (MCI). Thirty-five studies included PD, and only 6 investigated non-AD dementias. Inflammation was measured in blood, CSF, by genotype, brain tissue and PET imaging. Overall, studies exhibited considerable heterogeneity and evidence for specific inflammatory markers was inconsistent, with lack of replication and few longitudinal studies with repeat biomarkers. Depression was the most frequently investigated symptom. In AD, some studies reported increases in peripheral IL-6, TNF-a associated with depressive symptoms. Preliminary investigations using PET measures of microglial activation found an association with agitation. In PD, studies reported positive associations between TNF-a, IL-6, CRP, MCP-1, IL-10 and depression. Conclusion Central and peripheral inflammation may play a role in neuropsychiatric symptoms in neurodegenerative dementias; however, the evidence is inconsistent. There is a need for multi-site longitudinal studies with detailed assessments of neuropsychiatric symptoms combined with replicable peripheral and central markers of inflammation.
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Affiliation(s)
- Peter Swann
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge, UK
| | - Anastasia Mirza-Davies
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge, UK
| | - John O'Brien
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge, UK
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15
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Matuskova V, Vyhnalek M. Towards a replicable protocol to identify patients with psychiatric disorders at higher risk of developing dementia. Int Clin Psychopharmacol 2024; 39:330-332. [PMID: 38381913 DOI: 10.1097/yic.0000000000000542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Affiliation(s)
- Veronika Matuskova
- Memory Clinic, Department of Neurology, Charles University, Second Faculty of Medicine and Motol University Hospital
- Department of Clinical Psychology, Motol University Hospital, Prague, Czech Republic
| | - Martin Vyhnalek
- Memory Clinic, Department of Neurology, Charles University, Second Faculty of Medicine and Motol University Hospital
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16
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Twait EL, Kamarioti M, Verberk IMW, Teunissen CE, Nooyens ACJ, Monique Verschuren WM, Visser PJ, Huisman M, Kok AAL, Eline Slagboom P, Beekman M, Vojinovic D, Lakenberg N, Arfan Ikram M, Schuurmans IK, Wolters FJ, Moonen JEF, Gerritsen L, van der Flier WM, Geerlings MI. Depressive Symptoms and Plasma Markers of Alzheimer's Disease and Neurodegeneration: A Coordinated Meta-Analysis of 8 Cohort Studies. Am J Geriatr Psychiatry 2024; 32:1141-1153. [PMID: 38553327 DOI: 10.1016/j.jagp.2024.03.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 02/22/2024] [Accepted: 03/06/2024] [Indexed: 08/11/2024]
Abstract
BACKGROUND Depressive symptoms are associated with an increased risk of Alzheimer's disease (AD). There has been a recent emergence in plasma biomarkers for AD pathophysiology, such as amyloid-beta (Aβ) and phosphorylated tau (p-tau), as well as for axonal damage (neurofilament light, NfL) and astrocytic activation (glial fibrillary acidic protein, GFAP). Hypothesizing that depressive symptoms may occur along the AD process, we investigated associations between plasma biomarkers of AD with depressive symptoms in individuals without dementia. METHODS A two-stage meta-analysis was performed on 2 clinic-based and 6 population-based cohorts (N = 7210) as part of the Netherlands Consortium of Dementia Cohorts. Plasma markers (Aβ42/40, p-tau181, NfL, and GFAP) were measured using Single Molecular Array (Simoa; Quanterix) assays. Depressive symptoms were measured with validated questionnaires. We estimated the cross-sectional association of each standardized plasma marker (determinants) with standardized depressive symptoms (outcome) using linear regressions, correcting for age, sex, education, and APOE ε4 allele presence, as well as subgrouping by sex and APOE ε4 allele. Effect estimates were entered into a random-effects meta-analysis. RESULTS Mean age of participants was 71 years. The prevalence of clinically relevant depressive symptoms ranged from 1% to 22%. None of the plasma markers were associated with depressive symptoms in the meta-analyses. However, NfL was associated with depressive symptoms only in APOE ε4 carriers (β 0.11; 95% CI: 0.05-0.17). CONCLUSIONS Late-life depressive symptoms did not show an association to plasma biomarkers of AD pathology. However, in APOE ε4 allele carriers, a more profound role of neurodegeneration was suggested with depressive symptoms.
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Affiliation(s)
- Emma L Twait
- Julius Center for Health Sciences and Primary Care (ELT, MK, WMMV, MIG), University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands; Amsterdam UMC, Location Vrije Universiteit (ELT), Department of General Practice, Amsterdam Public Health, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Maria Kamarioti
- Julius Center for Health Sciences and Primary Care (ELT, MK, WMMV, MIG), University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Inge M W Verberk
- Neurochemistry Laboratory (IMWV, CET), Department of Laboratory Medicine, Amsterdam Neuroscience, Neurodegeneration, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory (IMWV, CET), Department of Laboratory Medicine, Amsterdam Neuroscience, Neurodegeneration, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Astrid C J Nooyens
- National Institute for Public Health and the Environment (ACJN, WMMV), Bilthoven, The Netherlands
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care (ELT, MK, WMMV, MIG), University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands; National Institute for Public Health and the Environment (ACJN, WMMV), Bilthoven, The Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam (PJV, JEFM, WMF), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands; Department of Psychiatry and Neuropsychology (PJV), School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Martijn Huisman
- Amsterdam UMC Location Vrije Universiteit Amsterdam (MH, AALK, WMF), Epidemiology and Data Science, Amsterdam, The Netherlands; Department of Sociology, Faculty of Social Sciences (MH), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Amsterdam Public Health (MH, AALK), Ageing and Later Life, Amsterdam, The Netherlands
| | - Almar A L Kok
- Amsterdam UMC Location Vrije Universiteit Amsterdam (MH, AALK, WMF), Epidemiology and Data Science, Amsterdam, The Netherlands; Amsterdam Public Health (MH, AALK), Ageing and Later Life, Amsterdam, The Netherlands
| | - P Eline Slagboom
- Molecular Epidemiology (PES, MB, DV, NL), Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Marian Beekman
- Molecular Epidemiology (PES, MB, DV, NL), Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Dina Vojinovic
- Molecular Epidemiology (PES, MB, DV, NL), Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands; Department of Epidemiology (DV, MAI, IKS, FJW), Erasmus University Medical Center, Rotterdam, Netherlands
| | - Nico Lakenberg
- Molecular Epidemiology (PES, MB, DV, NL), Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology (DV, MAI, IKS, FJW), Erasmus University Medical Center, Rotterdam, Netherlands; Harvard T.H. Chan School of Public Health (MAI), Boston, MA
| | - Isabel K Schuurmans
- Department of Epidemiology (DV, MAI, IKS, FJW), Erasmus University Medical Center, Rotterdam, Netherlands
| | - Frank J Wolters
- Department of Epidemiology (DV, MAI, IKS, FJW), Erasmus University Medical Center, Rotterdam, Netherlands; Department of Radiology & Nuclear Medicine (FJW), Erasmus MC, Rotterdam The Netherlands
| | - Justine E F Moonen
- Alzheimer Center Amsterdam (PJV, JEFM, WMF), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Lotte Gerritsen
- Department of Psychology (LG) Utrecht University, Utrecht, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam (PJV, JEFM, WMF), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam (MH, AALK, WMF), Epidemiology and Data Science, Amsterdam, The Netherlands
| | - Mirjam I Geerlings
- Julius Center for Health Sciences and Primary Care (ELT, MK, WMMV, MIG), University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands; Amsterdam UMC (MIG), Location University of Amsterdam, Department of General Practice, Amsterdam Public Health, Amsterdam Neuroscience, Amsterdam, The Netherlands.
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Schrempft S, Baysson H, Graindorge C, Pullen N, Hagose M, Zaballa ME, Preisig M, Nehme M, Guessous I, Stringhini S. Biopsychosocial risk factors for subjective cognitive decline among older adults during the COVID-19 pandemic: a population-based study. Public Health 2024; 234:16-23. [PMID: 38924819 DOI: 10.1016/j.puhe.2024.05.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 05/07/2024] [Accepted: 05/21/2024] [Indexed: 06/28/2024]
Abstract
OBJECTIVES There have been concerns that the COVID-19 pandemic and the measures used to contain it impacted the cognitive health of older adults. We therefore examined the prevalence of subjective cognitive decline, and its associated risk factors and health consequencs, among dementia-free older adults 2 years into the pandemic in Switzerland. STUDY DESIGN Population-based cohort study. METHODS Prevalence of SCD was estimated using the cognitive complaint questionnaire administered to adults aged ≥65 years in June-September 2022 (Specchio-COVID19 cohort, N = 1414), and compared to prepandemic values from 2014 to 2018 (CoLaus|PsyCoLaus cohort, N = 1181). Associated risk factors and health consequences were assessed using logistic and/or linear regression. RESULTS Prevalence of SCD in 2022 (18.9% [95% CI, 16.2-21.9]) was comparable to prepandemic levels in 2014-2018 (19.5% [17.2-22.1]). Risk factors included established risks for dementia-namely health issues, health behaviours, and depressive symptoms. Self-reported post-COVID, perceived worsening of mental health since the start of the pandemic, less frequent social club attendance, and increased loneliness were also risk factors for SCD. In turn, SCD was associated with poorer objective cognitive performance, difficulty performing instrumental activities of daily living, greater risk of falls, and lower well-being at one-year follow-up. CONCLUSIONS While the overall prevalence of SCD in 2022 was comparable to prepandemic levels, we identified several pandemic-related risk factors for SCD, including perceived worsening of mental health and increased isolation since the start of the pandemic. These findings highlight the importance of mental health promotion strategies in reducing cognitive complaints and preventing cognitive decline.
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Affiliation(s)
- S Schrempft
- Division of Primary Care Medicine, Unit of Population Epidemiology, Geneva University Hospitals, Geneva, Switzerland.
| | - H Baysson
- Division of Primary Care Medicine, Unit of Population Epidemiology, Geneva University Hospitals, Geneva, Switzerland; Department of Health and Community Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - C Graindorge
- Division of Primary Care Medicine, Unit of Population Epidemiology, Geneva University Hospitals, Geneva, Switzerland
| | - N Pullen
- Division of Primary Care Medicine, Unit of Population Epidemiology, Geneva University Hospitals, Geneva, Switzerland
| | - M Hagose
- Division of Primary Care Medicine, Unit of Population Epidemiology, Geneva University Hospitals, Geneva, Switzerland
| | - M-E Zaballa
- Division of Primary Care Medicine, Unit of Population Epidemiology, Geneva University Hospitals, Geneva, Switzerland
| | - M Preisig
- Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - M Nehme
- Division of Primary Care Medicine, Unit of Population Epidemiology, Geneva University Hospitals, Geneva, Switzerland; Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - I Guessous
- Department of Health and Community Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - S Stringhini
- Division of Primary Care Medicine, Unit of Population Epidemiology, Geneva University Hospitals, Geneva, Switzerland; University Centre for General Medicine and Public Health, University of Lausanne, Lausanne, Switzerland; School of Population and Public Health, Faculty of Medicine, University of British Columbia, Vancouver, Canada
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Du L, Fan X, Yang Y, Wu S, Liu Y. Quercetin Ameliorates Cognitive Impairment in Depression by Targeting HSP90 to Inhibit NLRP3 Inflammasome Activation. Mol Neurobiol 2024; 61:6628-6641. [PMID: 38329680 DOI: 10.1007/s12035-024-03926-x] [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: 06/21/2023] [Accepted: 01/04/2024] [Indexed: 02/09/2024]
Abstract
Cognitive dysfunction was a common symptom of major depressive disorder (MDD). In previous studies, psychological stress leads to activation and proliferation of microglial cells in different brain regions. Quercetin, a bioflavonoid derived from vegetables and fruits, exerts anti-inflammatory effects in various diseases. To demonstrate the role of quercetin in the hippocampal inflammatory response in depress mice. The chronic unpredictable stress (CUS) depressive mice model built is used to explore the protective effects of quercetin on depression. Neurobehavioral test, protein expression of NOD-like receptor thermal protein domain associated protein 3 (NLRP3) and heat shock protein 90 (HSP90), and cytokines (IL-6, IL-1β, MCP-1, and TNF-α) were assessed. Quercetin ameliorated depressive-like behavior and cognitive impairment, and quercetin attenuates neuroinflammation and by targeting HSP90 to inhibit NLRP3 inflammasome activation. Quercetin inhibited the increase of HSP90 levels in the hippocampus and reverses inflammation-induced cognitive impairment. Besides, quercetin inhibited the increased level of cytokines (IL-6, IL-1β, MCP-1, and TNF-α) in the hippocampus of the depressive model mouse and the increased level of cytokines (IL-6, IL-1β, and MCP-1) in microglia. The current study indicated that quercetin mitigated depressive-like behavior and by targeting HSP90 to inhibit NLRP3 inflammasome activation in microglia and depressive mice model, meanwhile ameliorated cognitive impairment in depression. Quercetin has huge potential for the novel pharmacological efficacy of antidepressant therapy.
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Affiliation(s)
- Longfei Du
- Department of Laboratory Medicine, Affiliated Hospital of Yangzhou University, Yangzhou, 225012, Jiangsu, China
| | - Xuyuan Fan
- Department of Medicine, Yangzhou University, Yangzhou, 225012, Jiangsu, China
| | - Yi Yang
- Department of Laboratory Medicine, Affiliated Hospital of Yangzhou University, Yangzhou, 225012, Jiangsu, China
- Department of the Central Laboratory, Affiliated Hospital of Yangzhou University, Yangzhou, 225012, Jiangsu, China
| | - Shusheng Wu
- Department of Laboratory Medicine, Affiliated Hospital of Yangzhou University, Yangzhou, 225012, Jiangsu, China.
| | - Yuan Liu
- Department of Laboratory Medicine, Affiliated Hospital of Yangzhou University, Yangzhou, 225012, Jiangsu, China.
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Yao CY, Chung CH, Chien WC, Li ST, Lee ST, Huang CC, Yang CC, Tzeng NS. Ectopic pregnancy, its potential links to dementia risk and interactions with depression: insights from a nationwide cohort study. Front Psychiatry 2024; 15:1410685. [PMID: 39279812 PMCID: PMC11392761 DOI: 10.3389/fpsyt.2024.1410685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Accepted: 08/05/2024] [Indexed: 09/18/2024] Open
Abstract
Background Dementia poses a growing global mental health impact, with variations in prevalence by gender, possibly influenced by reproductive factors. Ectopic pregnancy (EP), known for its association with cardiovascular diseases and depression, which are also predictors of dementia, prompted an exploration of their interplay. Methods Using Taiwan's National Health Insurance Research Database, this nationwide cohort study examined 53,096 individuals to investigate the link between EP and dementia. Covariates included age, insured premiums, comorbidity by Charlson Comorbidity Index revised by excluding dementia, level of care, and residence. Surgical approaches, number of EP episodes, and dementia subtypes were considered in outcomes analysis using Cox regression. Results Among 13,274 women diagnosed with EP, 791 developed dementia over a 15-year follow-up, particularly vascular dementia. Adjusting for the covariates, the adjusted sub-distribution Hazard Ratio (asHR) with competing risks was 1.644 (95% CI, 1.394-2.053; p < 0.001). For patients with more than one episode, it was even higher (asHR=1.670 [95% CI, 1.419-2.092; p < 0.001]). Post-ectopic depression, prevalent in 62.2% within four weeks, was associated with a greater dementia risk compared to those without (asHR=1.702 [95% CI, 1.444-2.125; p<0.001] vs. asHR=1.551 [95%CI, 1.310-1.937; p<0.001]). Antidepressant treatments showed a partial protective effect, reducing the increased risk by 14.7%. Conclusion An EP history is linked to an earlier onset and a higher risk of overall dementia, VaD in particular, in a dose dependent manner, regardless of surgical intervention and stroke. Post-ectopic depression exacerbates dementia risk, while antidepressants offer partial protection. These findings underscore the potential benefit of screening and treating depression in women following EPs.
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Affiliation(s)
- Chia-Yi Yao
- Department of Psychiatry, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Chi-Hsiang Chung
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
- Taiwanese Injury Prevention and Safety Promotion Association, Taipei, Taiwan
| | - Wu-Chien Chien
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
- Taiwanese Injury Prevention and Safety Promotion Association, Taipei, Taiwan
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan
| | - Sung-Tao Li
- Department of Psychiatry, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Siou-Ting Lee
- Department of Obstetrics and Gynecology, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan
- Department of Obstetrics and Gynecology, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan
| | - Chih-Chung Huang
- Department of Psychiatry, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Chuan-Chi Yang
- Department of Psychiatry, Taoyuan Armed Forces General Hospital Hsinchu Branch, Hsinchu, Taiwan
- Department of Psychiatry, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan
| | - Nian-Sheng Tzeng
- Department of Psychiatry, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan
- Counseling Center, National Defense Medical Center, Taipei, Taiwan
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Beekman AT. Delirium and dementia: Two of a kind?: Commentary on: Long-term impact of delirium on the risk of dementia in hospitalized older patients: a real-world multicenter study Gyubeom hwang, MD ChulHyoung Park, MD Rae Woong Park Sang Joon Son, MD, PhD Hyun Woong Roh, MD, PhD Jae Yeon Hwang, MD, PhD Jae-Won Jang, MD, PhD Young Tak, Jo, MD, PhD Gihwan Byeon, MD HyunChul Youn, MD, PhD. American Journal of Geriatric Psychiatry. Am J Geriatr Psychiatry 2024:S1064-7481(24)00434-2. [PMID: 39245611 DOI: 10.1016/j.jagp.2024.08.007] [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: 08/14/2024] [Accepted: 08/16/2024] [Indexed: 09/10/2024]
Affiliation(s)
- Aartjan Tf Beekman
- Department Psychiatry (ATFB), Amsterdam University Medical Center, Amsterdam 1081HJ, The Netherlands.
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Huan T, Intrator O, Simning A, Boockvar K, Grabowski DC, Cai S. Mental Health Treatment Among Nursing Home Residents With Alzheimer's Disease and Related Dementias. J Am Med Dir Assoc 2024; 25:105088. [PMID: 38885931 DOI: 10.1016/j.jamda.2024.105088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 05/09/2024] [Accepted: 05/10/2024] [Indexed: 06/20/2024]
Abstract
OBJECTIVES To examine the prevalence of mental health treatment among nursing home (NH) long-stay residents with Alzheimer's disease and related dementias (ADRD) and explore factors associated with utilization. DESIGN Retrospective cohort study. Minimum Data Set data (April 2017-September 2018), Medicare Master Beneficiary Summary File, Part B Carrier file and Part D prescription file were used to identify mental illness and ADRD diagnoses, patient characteristics, and mental health treatment. SETTING AND PARTICIPANTS All US Medicare- or Medicaid-certified NHs. Fee-for-service Medicare beneficiaries aged 65 and older who had a quarterly or annual Minimum Data Set assessment with ADRD and were enrolled in Medicare Parts B and D. Two cohorts: residents with both ADRD and psychiatric disorders; residents with ADRD only. METHODS Primary outcomes: receipt of (1) any mental health treatment (medication or psychotherapy); (2) any psychotherapy in a calendar quarter. SECONDARY OUTCOMES antipsychotics, antidepressants, hypnotics, antiepileptics, short-session ( ≤ 30 minutes), long-session ( ≥ 45 minutes), and family/group psychotherapy. Covariates included predisposing, enabling characteristics, and needs factors. Generalized Estimating Equation models of quarterly data, nested within patients, were estimated for each outcome among each cohort. RESULTS Analyses included 1,913,945 resident-quarter observations from 503,077 unique NH long-stay residents. Overall, 68.5% of NH long-stay residents with ADRD have psychiatric disorders; of these, 85% received mental health treatment. African American or Hispanic residents were less likely to use antidepressants. African American residents or residents living in rural locations were less likely to receive long-session psychotherapy. Hispanic residents were more likely to receive long-session psychotherapy. Residents in minority groups were more likely to receive group/family psychotherapy. CONCLUSIONS AND IMPLICATIONS Most of NH long-stay residents with ADRD had psychiatric disorders and most of them received treatment. Antidepressants or long-session psychotherapy were less likely to be provided to African American residents. Factors that determine the efficacy of mental health treatment and reasons for the racial disparities require further exploration.
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Affiliation(s)
- Tianwen Huan
- Department of Public Health Sciences, University of Rochester, Rochester, NY, USA; Geriatrics and Extended Care Data and Analysis Center, Canandaigua VA Medical Center, Canandaigua, NY, USA.
| | - Orna Intrator
- Department of Public Health Sciences, University of Rochester, Rochester, NY, USA; Geriatrics and Extended Care Data and Analysis Center, Canandaigua VA Medical Center, Canandaigua, NY, USA
| | - Adam Simning
- Department of Public Health Sciences, University of Rochester, Rochester, NY, USA; Department of Psychiatry, University of Rochester, Rochester, NY, USA
| | - Kenneth Boockvar
- Division of Gerontology, Geriatrics, and Palliative Care, University of Alabama, Birmingham, AL, USA; Geriatrics Research, Education, and Clinical Center, Birmingham VA Health Care System, Birmingham, AL, USA
| | - David C Grabowski
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Shubing Cai
- Department of Public Health Sciences, University of Rochester, Rochester, NY, USA; Geriatrics and Extended Care Data and Analysis Center, Canandaigua VA Medical Center, Canandaigua, NY, USA
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Yao L, Ni J, Wei M, Li T, Long Z, Shi J, Tian J. Association of Depression and Cognitive Performance in US Older Adults: A Secondary Analysis of Cross-Sectional Data Using NHANES 2013-2014. Eur Neurol 2024; 87:147-158. [PMID: 39074463 DOI: 10.1159/000540277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 06/25/2024] [Indexed: 07/31/2024]
Abstract
INTRODUCTION Depression has been associated with cognitive performance, but whether sociodemographic and clinical characteristics might influence this association is not well elaborated. This study aimed to further explore this relationship in older adults. METHODS This cross-sectional study is based on data from the National Health and Nutrition Examination Survey (NHANES) 2013-2014. A total of 1,433 individuals with complete information on depressive symptoms and cognitive function variables were included in this study. Patient Health Questionnaire 9 (PHQ-9) score ≥10 as the cutoff to identify cases of depression in our study. We defined poor cognitive performance as a composite cognitive score <47. Logistic regression models were used to examine the association of depression with cognitive performance (model 1). We progressively adjusted the covariates as confounders (model 2: model 1 + age, and gender; model 3: model 2 + race, education level, family income, drinking, and smoking; model 4: model 3 + overweight, arthritis, hyperlipidemia, diabetes, hypertension, heart failure, coronary heart disease, heart attack, stroke, and cancer). We then conducted subgroup, interaction, and restricted cubic spline (RCS) analyses to examine this association. RESULTS The prevalence of poor cognitive performance was 36.6% (53/145) in the depression group and 14.1% (182/1,288) in the non-depression group. In the fully adjusted model, depression was significantly associated with poor cognitive performance (adjusted odds ratio: 2.25; 95% confidence interval: 1.31-3.81). The results were robust to sensitivity analyses. Gender and education level may modify the association between depression and poor cognitive performance. RCS analysis revealed that the PHQ-9 score was related to poor cognitive performance in a nonlinear manner (p for nonlinearity <0.001), and exhibited a J-shaped curve. CONCLUSION Depression is associated with poor cognitive performance in US older adults. Early recognition and treatment of depression may be potential intervention strategies to protect cognitive health.
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Affiliation(s)
- Lulu Yao
- Beijing University of Chinese Medicine, Beijing, China,
| | - Jingnian Ni
- Department of Neurology, Dongzhimen Hospital of Beijing University of Chinese Medicine, Beijing, China
| | - Mingqing Wei
- Department of Neurology, Dongzhimen Hospital of Beijing University of Chinese Medicine, Beijing, China
| | - Ting Li
- Department of Neurology, Dongzhimen Hospital of Beijing University of Chinese Medicine, Beijing, China
| | - Ziyi Long
- Department of Neurology, Dongzhimen Hospital of Beijing University of Chinese Medicine, Beijing, China
| | - Jing Shi
- Department of Neurology, Dongzhimen Hospital of Beijing University of Chinese Medicine, Beijing, China
| | - Jinzhou Tian
- Department of Neurology, Dongzhimen Hospital of Beijing University of Chinese Medicine, Beijing, China
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Li QY, Fu Y, Cui XJ, Wang ZT, Tan L. Association of modified dementia risk score with cerebrospinal fluid biomarkers and cognition in adults without dementia. Front Aging Neurosci 2024; 16:1339163. [PMID: 39081396 PMCID: PMC11286572 DOI: 10.3389/fnagi.2024.1339163] [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: 11/15/2023] [Accepted: 07/01/2024] [Indexed: 08/02/2024] Open
Abstract
Introduction This study aimed to investigate the cognitive profile and prospective cognitive changes in non-demented adults with elevated Modified Dementia Risk Scores (MDRS), while also exploring the potential relationship between these associations and cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) pathology and neuroinflammation. Methods Within the Chinese Alzheimer's Biomarker and LifestylE (CABLE) database, 994 participants without dementia were assessed on MDRS, CSF biomarkers and cognition. We examined the associations of the MDRS with CSF biomarkers and cognitive scores using linear regressions. Causal mediation analyses were conducted to analyze the associations among MDRS, brain pathologies, and cognition. The Alzheimer's Disease Neuroimaging Initiative (ADNI) study was used to validate the mediation effects and to investigate the longitudinal association between MDRS and cognitive decline. Results The results revealed that higher MDRS were linked to poorer cognitive performance (Model 1: PFDR < 0.001; Model 2: PFDR < 0.001) and increases in CSF levels of phosphorylated tau (P-tau, Model 1: PFDR < 0.001; Model 2: PFDR < 0.001), total tau (T-tau, Model 1: PFDR < 0.001; Model 2: PFDR < 0.001), P-tau/Aβ42 ratio (Model 1: PFDR = 0.023; Model 2: PFDR = 0.028), T-tau/Aβ42 ratio (Model 1: PFDR < 0.001; Model 2: PFDR < 0.001) and soluble triggering receptor expressed on myeloid cells 2 (sTrem2, Model 1: PFDR < 0.001; Model 2: PFDR < 0.001) in the CABLE study. The impact of MDRS on cognition was partially mediated by neuroinflammation and tau pathology. These mediation effects were replicated in the ADNI study. Baseline MDRS were significantly associated with future cognitive decline, as indicated by lower scores on the Mini-Mental State Examination (MMSE, Model 1: PFDR = 0.045; Model 2: PFDR < 0.001), ADNI composite memory score (ADNI-MEM, Model 1: PFDR = 0.005; Model 2: PFDR < 0.001), ADNI composite executive function score (ADNI-EF, Model 1: PFDR = 0.045; Model 2: PFDR < 0.001), and higher score on the Alzheimer's Disease Assessment Scale (ADAS13, Model 1: PFDR = 0.045; Model 2: PFDR < 0.001). Discussion The findings of this study revealed significant associations between MDRS and cognitive decline, suggesting a potential role of tau pathology and neuroinflammation in the link between MDRS and poorer cognitive performance in individuals without dementia. Consequently, the MDRS holds promise as a tool for targeted preventive interventions in individuals at high risk of cognitive impairment.
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Affiliation(s)
- Qiong-Yao Li
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Yan Fu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Xin-Jing Cui
- Department of Outpatient, Qingdao Municipal Hospital, Qingdao, China
| | - Zuo-Teng Wang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
- Department of Neurology, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
- Department of Neurology, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, China
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Guo X, Huang X, Yang Y, Dong L, Kong D, Zhang J. FNDC5/Irisin in dementia and cognitive impairment: update and novel perspective. Braz J Med Biol Res 2024; 57:e13447. [PMID: 38985081 PMCID: PMC11249199 DOI: 10.1590/1414-431x2024e13447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 05/23/2024] [Indexed: 07/11/2024] Open
Abstract
Epidemiological surveys show that the incidence of age-related dementia and cognitive impairment is increasing and it has been a heavy burden for society, families, and healthcare systems, making the preservation of cognitive function in an increasingly aging population a major challenge. Exercise is beneficial for brain health, and FDNC5/irisin, a new exercise-induced myokine, is thought to be a beneficial mediator to cognitive function and plays an important role in the crosstalk between skeletal muscle and brain. This review provides a critical assessment of the recent progress in both fundamental and clinical research of FDNC5/irisin in dementia and cognitive impairment-related disorders. Furthermore, we present a novel perspective on the therapeutic effectiveness of FDNC5/irisin in alleviating these conditions.
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Affiliation(s)
- Xiaofeng Guo
- Department of Endocrinology and Metabolism, The Second School of Clinical Medicine of Binzhou Medical University, Yantai, Shandong, China
| | - Xiaocheng Huang
- Department of Health Examination, Weihai Municipal Hospital affiliated to Shandong University, Weihai, Shandong, China
| | - Yachao Yang
- Department of Endocrinology and Metabolism, Weihai Municipal Hospital affiliated to Shandong University, Weihai, Shandong, China
| | - Luying Dong
- Department of Health Examination, Weihai Municipal Hospital affiliated to Shandong University, Weihai, Shandong, China
| | - Dehuan Kong
- Department of Endocrinology and Metabolism, Taian City Central Hospital, Taian, Shandong, China
| | - Jianmei Zhang
- Department of Endocrinology and Metabolism, Weihai Municipal Hospital affiliated to Shandong University, Weihai, Shandong, China
- Department of Geriatrics, Weihai Municipal Hospital Affiliated to Shandong University, Weihai, Shandong, China
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Angelopoulou E, Bougea A, Hatzimanolis A, Scarmeas N, Papageorgiou SG. Unraveling the Potential Underlying Mechanisms of Mild Behavioral Impairment: Focusing on Amyloid and Tau Pathology. Cells 2024; 13:1164. [PMID: 38995015 PMCID: PMC11240615 DOI: 10.3390/cells13131164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 06/21/2024] [Accepted: 06/27/2024] [Indexed: 07/13/2024] Open
Abstract
The emergence of sustained neuropsychiatric symptoms (NPS) among non-demented individuals in later life, defined as mild behavioral impairment (MBI), is linked to a higher risk of cognitive decline. However, the underlying pathophysiological mechanisms remain largely unexplored. A growing body of evidence has shown that MBI is associated with alterations in structural and functional neuroimaging studies, higher genetic predisposition to clinical diagnosis of Alzheimer's disease (AD), as well as amyloid and tau pathology assessed in the blood, cerebrospinal fluid, positron-emission tomography (PET) imaging and neuropathological examination. These findings shed more light on the MBI-related potential neurobiological mechanisms, paving the way for the development of targeted pharmacological approaches. In this review, we aim to discuss the available clinical evidence on the role of amyloid and tau pathology in MBI and the potential underlying pathophysiological mechanisms. Dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis, disruption of neurotrophic factors, such as the brain-derived neurotrophic factor (BDNF), abnormal neuroinflammatory responses including the kynurenine pathway, dysregulation of transforming growth factor beta (TGF-β1), epigenetic alterations including micro-RNA (miR)-451a and miR-455-3p, synaptic dysfunction, imbalance in neurotransmitters including acetylcholine, dopamine, serotonin, gamma-aminobutyric acid (GABA) and norepinephrine, as well as altered locus coeruleus (LC) integrity are some of the potential mechanisms connecting MBI with amyloid and tau pathology. The elucidation of the underlying neurobiology of MBI would facilitate the design and efficacy of relative clinical trials, especially towards amyloid- or tau-related pathways. In addition, we provide insights for future research into our deeper understanding of its underlying pathophysiology of MBI, and discuss relative therapeutic implications.
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Affiliation(s)
- Efthalia Angelopoulou
- 1st Department of Neurology, Aiginition University Hospital, National and Kapodistrian University of Athens, Vasilissis Sofias Street 72-74, 11528 Athens, Greece
| | - Anastasia Bougea
- 1st Department of Neurology, Aiginition University Hospital, National and Kapodistrian University of Athens, Vasilissis Sofias Street 72-74, 11528 Athens, Greece
| | - Alexandros Hatzimanolis
- 1st Department of Psychiatry, Aiginition University Hospital, National and Kapodistrian University of Athens, Vasilissis Sofias Street 72-74, 11528 Athens, Greece
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition University Hospital, National and Kapodistrian University of Athens, Vasilissis Sofias Street 72-74, 11528 Athens, Greece
| | - Sokratis G Papageorgiou
- 1st Department of Neurology, Aiginition University Hospital, National and Kapodistrian University of Athens, Vasilissis Sofias Street 72-74, 11528 Athens, Greece
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Veronese N, Smith L, Koyanagi A, Soysal P, Mueller C, Errera CM, Vassallo G, Vernuccio L, Catanese G, Solmi M, Dominguez LJ, Barbagallo M. Association between depression and incident dementia: Longitudinal findings from the share study. Int J Geriatr Psychiatry 2024; 39:e6121. [PMID: 38970170 DOI: 10.1002/gps.6121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 06/26/2024] [Indexed: 07/08/2024]
Abstract
BACKGROUND The association between depression and dementia is still unclear, particularly regarding depression as a potential risk factor preceding dementia. Therefore, we aimed to verify if the presence of depression at baseline may increase the risk of dementia and cognitive impairment during 15 years of follow-up in the SHARE (Survey of Health, Aging and Retirement in Europe) study. METHODS Depressive symptoms were defined using the EURO-D, with a score ≥4 indicative of depression. Incident dementia was ascertained using self-reported data and caregivers' information, cognitive impairment using objective cognitive tests. Cox regression analysis, adjusted for 10 baseline confounders, was run and hazard ratios (HRs), with their 95% confidence intervals, were estimated. RESULTS In total 22,789 participants were included in the present analysis (mean age 64.2 years) and were predominantly female. The prevalence of depression at baseline was 24.9%. Over 15 years of follow-up, the onset of dementia occurred a median 2 years earlier in people with depression compared to those without. Depression at the baseline significantly increased the risk of dementia in the overall sample (HR = 1.74; 95% CI: 1.54-1.95) and the risk of cognitive impairment (HR = 1.15; 95% CI: 1.06-1.25). For dementia, the association was stronger in people less than 60 years (HR = 2.07; 95% CI: 1.42-3.02) than in participants aged ≥80 years (HR = 1.47; 95% CI: 1.14-1.91). A similar trend was observed for cognitive impairment. Among the single items of the EURO-D, loss of concentration was the strongest individual variable predicting the onset of dementia. CONCLUSIONS Depression increased the risk of dementia and cognitive impairment, particularly in younger adults, whereas loss of concentration was the strongest individual predicting variable of dementia. These findings demonstrate the need for early detection of depression for preventing future cognitive worsening.
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Affiliation(s)
- Nicola Veronese
- Department of Internal Medicine and Geriatrics, Geriatric Unit, University of Palermo, Palermo, Italy
| | - Lee Smith
- Centre for Health, Performance, and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, CIBERSAM, Barcelona, Spain
| | - Pinar Soysal
- Department of Geriatric Medicine, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkey
| | - Christopher Mueller
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Chiara Maria Errera
- Department of Internal Medicine and Geriatrics, Geriatric Unit, University of Palermo, Palermo, Italy
| | - Giusy Vassallo
- Department of Internal Medicine and Geriatrics, Geriatric Unit, University of Palermo, Palermo, Italy
| | - Laura Vernuccio
- Geriatric Unit, Azienda Ospedaliera Universitaria Policlinico Paolo Giaccone, Palermo, Italy
| | - Giuseppina Catanese
- Geriatric Unit, Azienda Ospedaliera Universitaria Policlinico Paolo Giaccone, Palermo, Italy
| | - Marco Solmi
- Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada
- Department of Mental Health, Regional Centre for the Treatment of Eating Disorders and on Track: The Champlain First Episode Psychosis Program, The Ottawa Hospital, Ottawa, Ontario, Canada
- Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program University of Ottawa Ottawa Ontario, Ottawa, Ontario, Canada
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | | | - Mario Barbagallo
- Department of Internal Medicine and Geriatrics, Geriatric Unit, University of Palermo, Palermo, Italy
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van Gennip ACE, Gupta MD, Houben AJHM, Berendschot TTJM, Webers CAB, van Greevenbroek MMJ, van der Kallen CJH, Koster A, Wesselius A, Eussen SJPM, Schalkwijk CG, de Galan BE, Köhler S, Schram MT, Stehouwer CDA, van Sloten TT. Retinal microvascular function and incidence and trajectories of clinically relevant depressive symptoms: the Maastricht Study. Psychol Med 2024; 54:2482-2491. [PMID: 38469703 DOI: 10.1017/s0033291724000618] [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] [Indexed: 03/13/2024]
Abstract
BACKGROUND Cerebral microvascular dysfunction may contribute to depression via disruption of brain structures involved in mood regulation, but evidence is limited. We investigated the association of retinal microvascular function, a proxy for microvascular function in the brain, with incidence and trajectories of clinically relevant depressive symptoms. METHODS Longitudinal data are from The Maastricht Study of 5952 participants (59.9 ± 8.5 years/49.7% women) without clinically relevant depressive symptoms at baseline (2010-2017). Central retinal arteriolar equivalent and central retinal venular equivalent (CRAE and CRVE) and a composite score of flicker light-induced retinal arteriolar and venular dilation were assessed at baseline. We assessed incidence and trajectories of clinically relevant depressive symptoms (9-item Patient Health Questionnaire score ⩾10). Trajectories included continuously low prevalence (low, n = 5225 [87.8%]); early increasing, then chronic high prevalence (early-chronic, n = 157 [2.6%]); low, then increasing prevalence (late-increasing, n = 247 [4.2%]); and remitting prevalence (remitting, n = 323 [5.4%]). RESULTS After a median follow-up of 7.0 years (range 1.0-11.0), 806 (13.5%) individuals had incident clinically relevant depressive symptoms. After full adjustment, a larger CRAE and CRVE were each associated with a lower risk of clinically relevant depressive symptoms (hazard ratios [HRs] per standard deviation [s.d.]: 0.89 [95% confidence interval (CI) 0.83-0.96] and 0.93 [0.86-0.99], respectively), while a lower flicker light-induced retinal dilation was associated with a higher risk of clinically relevant depressive symptoms (HR per s.d.: 1.10 [1.01-1.20]). Compared to the low trajectory, a larger CRAE was associated with lower odds of belonging to the early-chronic trajectory (OR: 0.83 [0.69-0.99]) and a lower flicker light-induced retinal dilation was associated with higher odds of belonging to the remitting trajectory (OR: 1.23 [1.07-1.43]). CONCLUSIONS These findings support the hypothesis that cerebral microvascular dysfunction contributes to the development of depressive symptoms.
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Affiliation(s)
- April C E van Gennip
- Internal Medicine, Maastricht University Medical Centre, Maastricht, Netherlands
- School for Cardiovascular Diseases, CARIM, Maastricht University, Maastricht, Netherlands
| | - Monideepa D Gupta
- Internal Medicine, Maastricht University Medical Centre, Maastricht, Netherlands
- School for Cardiovascular Diseases, CARIM, Maastricht University, Maastricht, Netherlands
| | - Alfons J H M Houben
- Internal Medicine, Maastricht University Medical Centre, Maastricht, Netherlands
- School for Cardiovascular Diseases, CARIM, Maastricht University, Maastricht, Netherlands
| | - Tos T J M Berendschot
- School for Mental Health and Neuroscience, MHENS, Maastricht University, Maastricht, Netherlands
- Ophthalmology, Maastricht University Medical Centre, Maastricht, Netherlands
- School of Nutrition and Translational Research in Metabolism, NUTRIM, Maastricht University, Maastricht, Netherlands
| | - Carroll A B Webers
- Ophthalmology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Marleen M J van Greevenbroek
- Internal Medicine, Maastricht University Medical Centre, Maastricht, Netherlands
- School for Cardiovascular Diseases, CARIM, Maastricht University, Maastricht, Netherlands
| | - Carla J H van der Kallen
- Internal Medicine, Maastricht University Medical Centre, Maastricht, Netherlands
- School for Cardiovascular Diseases, CARIM, Maastricht University, Maastricht, Netherlands
| | - Annemarie Koster
- Care and Public Health Research Institute, CAPHRI, Maastricht University, Maastricht, Netherlands
- Social Medicine, Maastricht University, Maastricht, Netherlands
| | - Anke Wesselius
- School of Nutrition and Translational Research in Metabolism, NUTRIM, Maastricht University, Maastricht, Netherlands
- Genetics and Cell Biology, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Simone J P M Eussen
- School for Cardiovascular Diseases, CARIM, Maastricht University, Maastricht, Netherlands
- Care and Public Health Research Institute, CAPHRI, Maastricht University, Maastricht, Netherlands
- Epidemiology, Maastricht University, Maastricht, Netherlands
| | - Casper G Schalkwijk
- Internal Medicine, Maastricht University Medical Centre, Maastricht, Netherlands
- School for Cardiovascular Diseases, CARIM, Maastricht University, Maastricht, Netherlands
| | - Bastiaan E de Galan
- Internal Medicine, Maastricht University Medical Centre, Maastricht, Netherlands
- School for Cardiovascular Diseases, CARIM, Maastricht University, Maastricht, Netherlands
- Internal Medicine, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Sebastian Köhler
- School for Mental Health and Neuroscience, MHENS, Maastricht University, Maastricht, Netherlands
- Psychiatry and Neuropsychology, Maastricht University, Maastricht, Netherlands
| | - Miranda T Schram
- Internal Medicine, Maastricht University Medical Centre, Maastricht, Netherlands
- School for Cardiovascular Diseases, CARIM, Maastricht University, Maastricht, Netherlands
- School for Mental Health and Neuroscience, MHENS, Maastricht University, Maastricht, Netherlands
- Heart and Vascular Centre, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Coen D A Stehouwer
- Internal Medicine, Maastricht University Medical Centre, Maastricht, Netherlands
- School for Cardiovascular Diseases, CARIM, Maastricht University, Maastricht, Netherlands
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Grasset L, Zeki Al Hazzouri A, Milazzo F, Lu P, Elfassy T, Elbejjani M, Vittinghoff E, Yaffe K. Long-Term Depressive Symptom Trajectories and Midlife Cognition: The CARDIA Study. Neurology 2024; 103:e209510. [PMID: 38865677 DOI: 10.1212/wnl.0000000000209510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND AND OBJECTIVES The nature of associations between depressive symptoms and cognition early in the life course remains unclear, and racial differences in these associations are not well characterized. The aim of this study was to examine the relationship between trajectories of depressive symptom over 20 years, beginning in young adulthood, and cognitive functions in middle-age among Black and White adults. METHODS We used prospective data from participants of the Coronary Artery Risk Development in Young Adults Study. Depressive symptoms were measured at 5 study visits between 1990 and 2010 using the Center for Epidemiologic Studies Depression scale. We used latent class group-based modeling to identify 4 trajectories: "persistently low," "persistently medium," "medium decreasing," and "high increasing" depressive symptoms. In 2015, cognitive function was measured using the Digit Symbol Substitution Test (DSST), Stroop test (reverse coded), and Rey Auditory-Verbal Learning Test (RAVLT).We excluded participants who missed the cognitive battery or had no depressive symptoms measurements, resulting in a total of 3,117 participants. All cognitive tests were standardized, and linear regression was used to relate depressive trajectories with 2015 cognitive functions. RESULTS The mean [SD] baseline age was 30.1 [3.6] years, and 57% were female. The associations between depressive symptoms and cognition significantly differed by race (p < 0.05). Among Black individuals, compared with having "persistently low," having "medium decreasing," "persistently medium," or "high increasing" depressive symptoms were associated with worse verbal memory, processing speed, and executive function scores (RAVLT persistently medium vs low: β = -0.30, 95% CI -0.48 to -0.12; and high increasing vs low: β = -0.49, 95% CI -0.70 to -0.27; DSST persistently medium vs low: β = -0.28, 95% CI -0.47 to -0.09; and high increasing vs low: β = -0.64, 95% CI -0.87 to -0.42; Stroop persistently medium vs low: β = -0.46, 95% CI -0.70 to -0.23; and high increasing vs low: β = -0.76, 95% CI -1.04 to -0.47). Associations were slightly weaker among White individuals, but we still found that having 'high increasing' depressive symptoms was associated with worse verbal memory and processing speed scores (high increasing vs low: β = -0.38, 95% CI -0.61 to -0.15; and β = -0.40, 95% CI -0.63 to -0.18, respectively). DISCUSSION Prolonged exposure to elevated depressive symptoms beginning in young adulthood may result in worse cognitive function over midlife. This association was stronger among Black adults.
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Affiliation(s)
- Leslie Grasset
- From the Univ. Bordeaux (L.G.), Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219; Inserm, CIC1401-EC, Bordeaux, France; Department of Epidemiology (A.Z.A.H., F.M., P.L.), Mailman School of Public Health, Columbia University, NY; Division of Medicine (T.E.), Miller School of Medicine, University of Miami, FL; Clinical Research Institute (M.E.), Department of Internal Medicine, American University of Beirut, Lebanon; and Departments of Psychiatry (E.V., K.Y.), Neurology, and Epidemiology and Biostatistics, University of California, San Francisco
| | - Adina Zeki Al Hazzouri
- From the Univ. Bordeaux (L.G.), Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219; Inserm, CIC1401-EC, Bordeaux, France; Department of Epidemiology (A.Z.A.H., F.M., P.L.), Mailman School of Public Health, Columbia University, NY; Division of Medicine (T.E.), Miller School of Medicine, University of Miami, FL; Clinical Research Institute (M.E.), Department of Internal Medicine, American University of Beirut, Lebanon; and Departments of Psychiatry (E.V., K.Y.), Neurology, and Epidemiology and Biostatistics, University of California, San Francisco
| | - Floriana Milazzo
- From the Univ. Bordeaux (L.G.), Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219; Inserm, CIC1401-EC, Bordeaux, France; Department of Epidemiology (A.Z.A.H., F.M., P.L.), Mailman School of Public Health, Columbia University, NY; Division of Medicine (T.E.), Miller School of Medicine, University of Miami, FL; Clinical Research Institute (M.E.), Department of Internal Medicine, American University of Beirut, Lebanon; and Departments of Psychiatry (E.V., K.Y.), Neurology, and Epidemiology and Biostatistics, University of California, San Francisco
| | - Peiyi Lu
- From the Univ. Bordeaux (L.G.), Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219; Inserm, CIC1401-EC, Bordeaux, France; Department of Epidemiology (A.Z.A.H., F.M., P.L.), Mailman School of Public Health, Columbia University, NY; Division of Medicine (T.E.), Miller School of Medicine, University of Miami, FL; Clinical Research Institute (M.E.), Department of Internal Medicine, American University of Beirut, Lebanon; and Departments of Psychiatry (E.V., K.Y.), Neurology, and Epidemiology and Biostatistics, University of California, San Francisco
| | - Tali Elfassy
- From the Univ. Bordeaux (L.G.), Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219; Inserm, CIC1401-EC, Bordeaux, France; Department of Epidemiology (A.Z.A.H., F.M., P.L.), Mailman School of Public Health, Columbia University, NY; Division of Medicine (T.E.), Miller School of Medicine, University of Miami, FL; Clinical Research Institute (M.E.), Department of Internal Medicine, American University of Beirut, Lebanon; and Departments of Psychiatry (E.V., K.Y.), Neurology, and Epidemiology and Biostatistics, University of California, San Francisco
| | - Martine Elbejjani
- From the Univ. Bordeaux (L.G.), Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219; Inserm, CIC1401-EC, Bordeaux, France; Department of Epidemiology (A.Z.A.H., F.M., P.L.), Mailman School of Public Health, Columbia University, NY; Division of Medicine (T.E.), Miller School of Medicine, University of Miami, FL; Clinical Research Institute (M.E.), Department of Internal Medicine, American University of Beirut, Lebanon; and Departments of Psychiatry (E.V., K.Y.), Neurology, and Epidemiology and Biostatistics, University of California, San Francisco
| | - Eric Vittinghoff
- From the Univ. Bordeaux (L.G.), Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219; Inserm, CIC1401-EC, Bordeaux, France; Department of Epidemiology (A.Z.A.H., F.M., P.L.), Mailman School of Public Health, Columbia University, NY; Division of Medicine (T.E.), Miller School of Medicine, University of Miami, FL; Clinical Research Institute (M.E.), Department of Internal Medicine, American University of Beirut, Lebanon; and Departments of Psychiatry (E.V., K.Y.), Neurology, and Epidemiology and Biostatistics, University of California, San Francisco
| | - Kristine Yaffe
- From the Univ. Bordeaux (L.G.), Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219; Inserm, CIC1401-EC, Bordeaux, France; Department of Epidemiology (A.Z.A.H., F.M., P.L.), Mailman School of Public Health, Columbia University, NY; Division of Medicine (T.E.), Miller School of Medicine, University of Miami, FL; Clinical Research Institute (M.E.), Department of Internal Medicine, American University of Beirut, Lebanon; and Departments of Psychiatry (E.V., K.Y.), Neurology, and Epidemiology and Biostatistics, University of California, San Francisco
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Yu D, Wang Z, Osuagwu UL, Pickering K, Baker J, Cutfield R, Cai Y, Orr‐Walker BJ, Sundborn G, Qu B, Zhao Z, Simmons D. Long-term impact of type 2 diabetes onset on dementia incidence rate among New Zealanders with impaired glucose tolerance: A tapered-matched landmark analysis over 25 years. Alzheimers Dement 2024; 20:4423-4433. [PMID: 38874317 PMCID: PMC11247710 DOI: 10.1002/alz.13855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 03/25/2024] [Accepted: 03/29/2024] [Indexed: 06/15/2024]
Abstract
INTRODUCTION We aimed to investigate the association between the onset of type 2 diabetes (T2D) and dementia incidence rates (IR) in the population with impaired glucose tolerance (IGT) identified in primary care in New Zealand (NZ) over 25 years. METHODS Tapered matching and landmark analysis (accounting for immortal bias) were used to control for potential effects of known confounders. The association between T2D onset and 5- and 10-year IR of dementia was estimated by weighted Cox models. RESULTS The onset of T2D was significantly associated with the 10-year IR of dementia, especially in the socioeconomically deprived, those of non-NZ European ethnicity, those currently smoking, and patients with higher metabolic measures. DISCUSSION Our findings suggest that the onset of T2D is a significant risk factor for dementia in individuals with IGT. Dementia screening and structured diabetes prevention are vital in the population with IGT, particularly those from deprived or ethnic minority backgrounds. HIGHLIGHTS Increased dementia incidence rate links with T2D onset in people with IGT. Significant incidence varied by ethnicity, socioeconomic status, and health factors. Results emphasize the diabetes manage and socioeconomic factors on dementia risk. Secondary analysis highlights the key role of vascular health in dementia prevention.
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Affiliation(s)
- Dahai Yu
- Department of Nephrologythe First Affiliated Hospital, Zhengzhou UniversityZhengzhouChina
- Primary Care Centre Versus ArthritisSchool of MedicineKeele UniversityKeeleUK
| | - Zheng Wang
- Department of Nephrologythe First Affiliated Hospital, Zhengzhou UniversityZhengzhouChina
| | - Uchechukwu Levi Osuagwu
- Translational Health Research Institute (THRI)Western Sydney UniversitySydneyNew South WalesAustralia
- School of MedicineWestern Sydney UniversitySydneyNew South WalesAustralia
| | | | - John Baker
- Diabetes Foundation AotearoaOtaraAucklandNew Zealand
- Department of Diabetes and EndocrinologyCounties Manukau HealthOtahuhuAucklandNew Zealand
| | - Richard Cutfield
- Diabetes Foundation AotearoaOtaraAucklandNew Zealand
- Department of Diabetes and EndocrinologyWaitemata District Health BoardTakapunaAucklandNew Zealand
| | - Yamei Cai
- Department of Nephrologythe First Affiliated Hospital, Zhengzhou UniversityZhengzhouChina
| | - Brandon J. Orr‐Walker
- Diabetes Foundation AotearoaOtaraAucklandNew Zealand
- Department of Diabetes and EndocrinologyCounties Manukau HealthOtahuhuAucklandNew Zealand
| | - Gerhard Sundborn
- Section of Pacific Healththe University of AucklandAucklandNew Zealand
| | - Bingjie Qu
- Department of Nephrologythe First Affiliated Hospital, Zhengzhou UniversityZhengzhouChina
| | - Zhanzheng Zhao
- Department of Nephrologythe First Affiliated Hospital, Zhengzhou UniversityZhengzhouChina
| | - David Simmons
- Department of Nephrologythe First Affiliated Hospital, Zhengzhou UniversityZhengzhouChina
- Translational Health Research Institute (THRI)Western Sydney UniversitySydneyNew South WalesAustralia
- School of MedicineWestern Sydney UniversitySydneyNew South WalesAustralia
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30
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Huang YY, Gan YH, Yang L, Cheng W, Yu JT. Depression in Alzheimer's Disease: Epidemiology, Mechanisms, and Treatment. Biol Psychiatry 2024; 95:992-1005. [PMID: 37866486 DOI: 10.1016/j.biopsych.2023.10.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 09/13/2023] [Accepted: 10/07/2023] [Indexed: 10/24/2023]
Abstract
Depression and Alzheimer's disease (AD) are substantial public health concerns. In the past decades, a link between the 2 disease entities has received extensive acknowledgment, yet the complex nature of this relationship demands further clarification. Some evidence indicates that midlife depression may be an AD risk factor, while a chronic course of depression in late life may be a precursor to or symptom of dementia. Recently, multiple pathophysiological mechanisms have been proposed to underlie the bidirectional relationship between depression and AD, including genetic predisposition, immune dysregulation, accumulation of AD-related biomarkers (e.g., amyloid-β and tau), and alterations in brain structure. Accordingly, numerous therapeutic approaches, such as pharmacology treatments, psychotherapy, and lifestyle interventions, have been suggested as potential means of interfering with these pathways. However, the current literature on this topic remains fragmented and lacks a comprehensive review characterizing the association between depression and AD. In this review, we aim to address these gaps by providing an overview of the co-occurrence and temporal relationship between depression and AD, as well as exploring their underlying mechanisms. We also examine the current therapeutic regimens for depression and their implications for AD management and outline key challenges facing the field.
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Affiliation(s)
- Yu-Yuan Huang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi-Han Gan
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Liu Yang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
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Haniff ZR, Bocharova M, Mantingh T, Rucker JJ, Velayudhan L, Taylor DM, Young AH, Aarsland D, Vernon AC, Thuret S. Psilocybin for dementia prevention? The potential role of psilocybin to alter mechanisms associated with major depression and neurodegenerative diseases. Pharmacol Ther 2024; 258:108641. [PMID: 38583670 DOI: 10.1016/j.pharmthera.2024.108641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 03/28/2024] [Accepted: 04/02/2024] [Indexed: 04/09/2024]
Abstract
Major depression is an established risk factor for subsequent dementia, and depression in late life may also represent a prodromal state of dementia. Considering current challenges in the clinical development of disease modifying therapies for dementia, the focus of research is shifting towards prevention and modification of risk factors to alter the neurodegenerative disease trajectory. Understanding mechanistic commonalities underlying affective symptoms and cognitive decline may reveal biomarkers to aid early identification of those at risk of progressing to dementia during the preclinical phase of disease, thus allowing for timely intervention. Adult hippocampal neurogenesis (AHN) is a phenomenon that describes the birth of new neurons in the dentate gyrus throughout life and it is associated with spatial learning, memory and mood regulation. Microglia are innate immune system macrophages in the central nervous system that carefully regulate AHN via multiple mechanisms. Disruption in AHN is associated with both dementia and major depression and microgliosis is a hallmark of several neurodegenerative diseases. Emerging evidence suggests that psychedelics promote neuroplasticity, including neurogenesis, and may also be immunomodulatory. In this context, psilocybin, a serotonergic agonist with rapid-acting antidepressant properties has the potential to ameliorate intersecting pathophysiological processes relevant for both major depression and neurodegenerative diseases. In this narrative review, we focus on the evidence base for the effects of psilocybin on adult hippocampal neurogenesis and microglial form and function; which may suggest that psilocybin has the potential to modulate multiple mechanisms of action, and may have implications in altering the progression from major depression to dementia in those at risk.
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Affiliation(s)
- Zarah R Haniff
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom.
| | - Mariia Bocharova
- Department of Old Age Psychiatry, Division of Academic Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Tim Mantingh
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - James J Rucker
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom; South London and Maudsley NHS Foundation Trust, Maudsley Hospital, Denmark Hill, London, United Kingdom
| | - Latha Velayudhan
- Department of Old Age Psychiatry, Division of Academic Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - David M Taylor
- South London and Maudsley NHS Foundation Trust, Maudsley Hospital, Denmark Hill, London, United Kingdom
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom; South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Monks Orchard Road, Beckenham, Kent, United Kingdom
| | - Dag Aarsland
- Department of Old Age Psychiatry, Division of Academic Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom; Wolfson Centre for Age Related Diseases, Division of Neuroscience of the Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom; Stavanger University Hospital, Stavanger, Norway
| | - Anthony C Vernon
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom; MRC Centre for Neurodevelopmental Disorders, King's College London, United Kingdom.
| | - Sandrine Thuret
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom.
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Luo R, Zeraatkar D, Glymour M, Ellis RJ, Estiri H, Patel CJ. Specification curve analysis to identify heterogeneity in risk factors for dementia: findings from the UK Biobank. BMC Med 2024; 22:216. [PMID: 38807092 PMCID: PMC11134914 DOI: 10.1186/s12916-024-03424-w] [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: 01/05/2024] [Accepted: 05/13/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND In 2020, the Lancet Commission identified 12 risk factors as priorities for prevention of dementia, and other studies identified APOE e4/e4 genotype and family history of Alzheimer's disease strongly associated with dementia outcomes; however, it is unclear how robust these relationships are across dementia subtypes and analytic scenarios. Specification curve analysis (SCA) is a new tool to probe how plausible analytical scenarios influence outcomes. METHODS We evaluated the heterogeneity of odds ratios for 12 risk factors reported from the Lancet 2020 report and two additional strong associated non-modifiable factors (APOE e4/e4 genotype and family history of Alzheimer's disease) with dementia outcomes across 450,707 UK Biobank participants using SCA with 5357 specifications across dementia subtypes (outcomes) and analytic models (e.g., standard demographic covariates such as age or sex and/or 14 correlated risk factors). RESULTS SCA revealed variable dementia risks by subtype and age, with associations for TBI and APOE e4/e4 robust to model specification; in contrast, diabetes showed fluctuating links with dementia subtypes. We found that unattributed dementia participants had similar risk factor profiles to participants with defined subtypes. CONCLUSIONS We observed heterogeneity in the risk of dementia, and estimates of risk were influenced by the inclusion of a combination of other modifiable risk factors; non-modifiable demographic factors had a minimal role in analytic heterogeneity. Future studies should report multiple plausible analytic scenarios to test the robustness of their association. Considering these combinations of risk factors could be advantageous for the clinical development and evaluation of novel screening models for different types of dementia.
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Affiliation(s)
- Renhao Luo
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Dena Zeraatkar
- Department of Anesthesia and Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada
| | - Maria Glymour
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA
| | - Randall J Ellis
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Hossein Estiri
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Chirag J Patel
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
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Tang WSW, Lau NXM, Krishnan MN, Chin YC, Ho CSH. Depression and Eye Disease-A Narrative Review of Common Underlying Pathophysiological Mechanisms and their Potential Applications. J Clin Med 2024; 13:3081. [PMID: 38892791 PMCID: PMC11172702 DOI: 10.3390/jcm13113081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Revised: 05/20/2024] [Accepted: 05/22/2024] [Indexed: 06/21/2024] Open
Abstract
Background: Depression has been shown to be associated with eye diseases, including dry eye disease (DED), cataracts, glaucoma, age-related macular degeneration (AMD), and diabetic retinopathy (DR). This narrative review explores potential pathophysiological connections between depression and eye disease, as well as its potential correlations with ocular parameters. Methods: A literature search was conducted in August 2022 in PUBMED, EMBASE, and PsycINFO. Published articles related to the subject were consolidated and classified according to respective eye diseases and pathophysiological mechanisms. Results: The literature reviewed suggests that common pathophysiological states like inflammation and neurodegeneration may contribute to both depression and certain eye diseases, while somatic symptoms and altered physiology, such as disruptions in circadian rhythm due to eye diseases, can also influence patients' mood states. Grounded in the shared embryological, anatomical, and physiological features between the eye and the brain, depression is also correlated to changes observed in non-invasive ophthalmological imaging modalities, such as changes in the retinal nerve fibre layer and retinal microvasculature. Conclusions: There is substantial evidence of a close association between depression and eye diseases. Understanding the underlying concepts can inform further research on treatment options and monitoring of depression based on ocular parameters.
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Affiliation(s)
- Wymann Shao Wen Tang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
| | - Nicole Xer Min Lau
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
| | | | - You Chuen Chin
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
- Raffles Medical Group, Singapore 188770, Singapore
| | - Cyrus Su Hui Ho
- Department of Psychological Medicine, National University of Singapore, Singapore 119077, Singapore
- Department of Psychological Medicine, National University Hospital, Singapore 119228, Singapore
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Petkus AJ, Wang X, Younan D, Salminen LE, Resnick SM, Rapp SR, Espeland MA, Gatz M, Widaman KF, Casanova R, Chui H, Barnard RT, Gaussoin SA, Goveas JS, Hayden KM, Henderson VW, Sachs BC, Saldana S, Shadyab AH, Shumaker SA, Chen J. 20-year depressive symptoms, dementia, and structural neuropathology in older women. Alzheimers Dement 2024; 20:3472-3484. [PMID: 38591250 PMCID: PMC11095467 DOI: 10.1002/alz.13781] [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: 09/07/2023] [Revised: 01/03/2024] [Accepted: 01/24/2024] [Indexed: 04/10/2024]
Abstract
INTRODUCTION The course of depressive symptoms and dementia risk is unclear, as are potential structural neuropathological common causes. METHODS Utilizing joint latent class mixture models, we identified longitudinal trajectories of annually assessed depressive symptoms and dementia risk over 21 years in 957 older women (baseline age 72.7 years old) from the Women's Health Initiative Memory Study. In a subsample of 569 women who underwent structural magnetic resonance imaging, we examined whether estimates of cerebrovascular disease and Alzheimer's disease (AD)-related neurodegeneration were associated with identified trajectories. RESULTS Five trajectories of depressive symptoms and dementia risk were identified. Compared to women with minimal symptoms, women who reported mild and stable and emerging depressive symptoms were at the highest risk of developing dementia and had more cerebrovascular disease and AD-related neurodegeneration. DISCUSSION There are heterogeneous profiles of depressive symptoms and dementia risk. Common neuropathological factors may contribute to both depression and dementia. Highlights The progression of depressive symptoms and concurrent dementia risk is heterogeneous. Emerging depressive symptoms may be a prodromal symptom of dementia. Cerebrovascular disease and AD are potentially shared neuropathological factors.
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Affiliation(s)
- Andrew J. Petkus
- Department of NeurologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Xinhui Wang
- Department of NeurologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Diana Younan
- Department of Population and Public Health SciencesUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Lauren E. Salminen
- Mark and Mary Stevens Neuroimaging and Informatics InstituteUniversity of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Susan M. Resnick
- Laboratory of Behavioral NeuroscienceNational Institute on AgingBaltimoreMarylandUSA
| | - Stephen R. Rapp
- Department of NeurologyWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
- Department of Social Sciences and Health PolicyWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Mark A. Espeland
- Department of Biostatistics and Data SciencesWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
- Department of Internal MedicineWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Margaret Gatz
- Center for Economic and Social ResearchUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Keith F. Widaman
- Graduate School of EducationUniversity of California, RiversideRiversideCaliforniaUSA
| | - Ramon Casanova
- Department of Biostatistics and Data SciencesWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Helena Chui
- Department of NeurologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Ryan T. Barnard
- Department of Biostatistics and Data SciencesWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Sarah A. Gaussoin
- Department of Biostatistics and Data SciencesWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Joseph S. Goveas
- Department of Psychiatry and Behavioral MedicineMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Kathleen M. Hayden
- Department of Social Sciences and Health PolicyWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Victor W. Henderson
- Departments of Epidemiology and Population Health and of Neurology and Neurological SciencesStanford UniversityPalo AltoCaliforniaUSA
| | - Bonnie C. Sachs
- Department of NeurologyWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Santiago Saldana
- Department of Biostatistics and Data SciencesWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity ScienceUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Sally A. Shumaker
- Department of NeurologyWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Jiu‐Chiuan Chen
- Department of NeurologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of Population and Public Health SciencesUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
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Peichel S, Quante A. [Differentiation Between Alzheimer̓s Disease and Old Age Depression: Overview and Conception of a Questionnaire for Relatives]. FORTSCHRITTE DER NEUROLOGIE-PSYCHIATRIE 2024; 92:186-193. [PMID: 38113905 DOI: 10.1055/a-2202-9622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
BACKGROUND Differential diagnosis of Alzheimer's disease and major depression in the elderly is difficult because of overlapping and similar symptoms. A questionnaire for relatives may facilitate the diagnostic burden in clinical practice. MATERIALS AND METHODS Based on a selection of clinical criteria, an expert survey, and statistical analysis of the expert survey, a questionnaire for relatives was designed. RESULTS 18 out of 48 suggested clinical criteria were assessed by neuropsychologists as suitable for the differential diagnosis and were summarized in a questionnaire for relatives (ADAD). First results of the validation of the questionnaire gave an indication of the suitability of the clinical criteria. CONCLUSIONS The ADAD questionnaire could be simply implemented in clinical practice to differentiate between symptoms of Alzheimer's disease and major depression, but it needs to be evaluated in a larger group of patients.
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Affiliation(s)
- Sarah Peichel
- Klinik für Psychiatrie, Psychotherapie und Psychosomatik, Friedrich von Bodelschwingh-Klinik, Berlin, Germany
| | - Arnim Quante
- Klinik für Psychiatrie, Psychotherapie und Psychosomatik, Friedrich von Bodelschwingh-Klinik, Berlin, Germany
- Klinik für Psychiatrie und Psychotherapie, Charité Universitätsmedizin Berlin Campus Benjamin Franklin, Berlin, Germany
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Kim H, Jung JH, Han K, Jeon HJ. Weight change in people with depression and the risk of dementia: a nationwide cohort study. Psychol Med 2024; 54:1284-1293. [PMID: 38179671 DOI: 10.1017/s0033291723003124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2024]
Abstract
BACKGROUND Depression is a risk factor for dementia and weight change can appear as a symptom of depression. However, the association between weight change after the diagnosis of depression and the risk of dementia is poorly established. This study aimed to investigate the association between weight change before and after a diagnosis of depression with the subsequent risk of dementia. METHODS The National Health Insurance Sharing Service database was used. 1 308 730 patients aged ⩾40 years diagnosed with depression were identified to be eligible. Weight changes after their depression diagnosis were categorized and subsequent incidence of dementia was followed up. RESULTS During an average follow-up period of 5.2 years (s.d., 2.0 years), 69 373 subjects were newly diagnosed with all-cause dementia (56 351 were Alzheimer's disease and 6877 were vascular dementia). Regarding all outcomes, compared to those with a minimal weight change (-5 to 5%), all groups with weight gain or loss showed increased risks of dementia after adjusting potential risk factors for dementia, in all analysis models with a dose-response relationship, showing a U-shaped association. CONCLUSIONS Weight change as a symptom of depression could be a predictor for the future development of dementia.
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Affiliation(s)
- Hyewon Kim
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jin Hyung Jung
- Department of Biostatistics, College of Medicine, Catholic University of Korea, Seoul, South Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, South Korea
| | - Hong Jin Jeon
- Department of Health Sciences & Technology, Department of Medical Device Management & Research, and Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, South Korea
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Wang J, Liang X, Qiu Q, Yan F, Fang Y, Shen C, Wang H, Chen Y, Xiao S, Yue L, Li X. Cognitive trajectories in older adults and the role of depressive symptoms: A 7-year follow-up study. Asian J Psychiatr 2024; 95:104007. [PMID: 38520944 DOI: 10.1016/j.ajp.2024.104007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 01/06/2024] [Accepted: 03/16/2024] [Indexed: 03/25/2024]
Abstract
OBJECTIVES To examine different trajectories of cognitive changes in elderly adults and explore the mediating role of depressive symptoms. DESIGN A 7-year, community-based, prospective cohort study. SETTING The downtown neighborhood of Shanghai, China. PARTICIPANTS A cohort of 394 older adults, with an average age of 71.8 years, was recruited in 2015 and has been reassessed every two years until 2021. METHODS Latent Class Growth Analysis was used to model aging trajectories and Linear Mixed-Effect Models for Repeated Measures were used to estimate the least squares mean changes of cognition between subjects with depression (DEP+) and without (DEP-) across all visits. RESULTS Three cognitive trajectories were identified: the "successful aging" (SA) trajectory had the best and most consistent performance (n=229, 55.9%); the "normal aging" (NA) trajectory showed lower but stable cognition (n=141, 37.3%); while the "cognitive decline" (CD) trajectory displayed poor and declining cognition (n=24, 6.8%). Depressive symptoms were found to be influential across all trajectories. In the CD trajectory, the MoCA scores of the DEP+ group increased in within-group comparisons and were significantly higher than those of the DEP- group at visits 1 and 3 in between-group comparisons. A similar trend was observed in the NA trajectory, though it did not reach statistical significance. CONCLUSIONS Our research suggests that mild and decreasing depressive symptoms can be a reversible factor that might slow down the irreversible cognitive decline in the elderly. Therefore, we suggest that even mild depressive symptoms in the elderly should be monitored and detected.
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Affiliation(s)
- Jianjun Wang
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai 200030, China; Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen 518000, China
| | - Xiao Liang
- Shanghai Xuhui District Mental Health Center, Shanghai 200232, China
| | - Qi Qiu
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Feng Yan
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Yuan Fang
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Changyi Shen
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Huijuan Wang
- Shanghai Jingan District Mental Health Center, Shanghai 200040, China
| | - Yuming Chen
- Shanghai Jingan District Mental Health Center, Shanghai 200040, China
| | - Shifu Xiao
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Ling Yue
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai 200030, China.
| | - Xia Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai 200030, China.
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Du R, Yang K, Li W, Wang Z, Cai H. Research status and global trends of late-life depression from 2004 to 2023: bibliometric analysis. Front Aging Neurosci 2024; 16:1393110. [PMID: 38752209 PMCID: PMC11095109 DOI: 10.3389/fnagi.2024.1393110] [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: 02/28/2024] [Accepted: 04/10/2024] [Indexed: 05/18/2024] Open
Abstract
Background Global research hotspots and future research trends in the neurobiological mechanisms of late-life depression (LLD) as well as its diagnosis and treatment are not yet clear. Objectives This study profiled the current state of global research on LLD and predicted future research trends in the field. Methods Literature with the subject term LLD was retrieved from the Web of Science Core Collection, and CiteSpace software was used to perform econometric and co-occurrence analyses. The results were visualized using CiteSpace, VOSviewer, and other software packages. Results In total, 10,570 publications were included in the analysis. Publications on LLD have shown an increasing trend since 2004. The United States and the University of California had the highest number of publications, followed consecutively by China and England, making these countries and institutions the most influential in the field. Reynolds, Charles F. was the author with the most publications. The International Journal of Geriatric Psychiatry was the journal with the most articles and citations. According to the co-occurrence analysis and keyword/citation burst analysis, cognitive impairment, brain network dysfunction, vascular disease, and treatment of LLD were research hotspots. Conclusion Late-life depression has attracted increasing attention from researchers, with the number of publications increasing annually. However, many questions remain unaddressed in this field, such as the relationship between LLD and cognitive impairment and dementia, or the impact of vascular factors and brain network dysfunction on LLD. Additionally, the treatment of patients with LLD is currently a clinical challenge. The results of this study will help researchers find suitable research partners and journals, as well as predict future hotspots.
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Affiliation(s)
| | | | | | - Zhiren Wang
- Huilongguan Clinical Medical School of Peking University, Beijing Huilongguan Hospital, Beijing, China
| | - Haipeng Cai
- Huilongguan Clinical Medical School of Peking University, Beijing Huilongguan Hospital, Beijing, China
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Ward D, Flint J, Littlejohns T, Foote I, Canevelli M, Wallace L, Gordon E, Llewellyn D, Ranson J, Hubbard R, Rockwood K, Stolz E. Frailty trajectories preceding dementia: an individual-level analysis of four cohort studies in the United States and United Kingdom. RESEARCH SQUARE 2024:rs.3.rs-4314795. [PMID: 38746437 PMCID: PMC11092835 DOI: 10.21203/rs.3.rs-4314795/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Frailty may represent a modifiable risk factor for dementia, but the direction of that association remains uncertain. We investigated frailty trajectories in the years preceding dementia onset using data from 23,672 participants (242,760 person-years of follow-up, 2,906 cases of incident dementia) across four cohort studies in the United States and United Kingdom. Bayesian non-linear models revealed accelerations in frailty trajectories 4-9 years before incident dementia. Among participants whose time between frailty measurement and incident dementia exceeded that prodromal period, frailty remained positively associated with dementia risk (adjusted hazard ratios ranged from 1.20 [95% confidence interval, CI = 1.15-1.26] to 1.43 [95% CI = 1.14-1.81]). This observational evidence suggests that frailty increases dementia risk independently of any reverse causality. These findings indicate that frailty measurements can be used to identify high-risk population groups for preferential enrolment into clinical trials for dementia prevention and treatment. Frailty itself may represent a useful upstream target for behavioural and societal approaches to dementia prevention.
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Forbes M, Lotfaliany M, Mohebbi M, Reynolds CF, Woods RL, Orchard S, Chong T, Agustini B, O'Neil A, Ryan J, Berk M. Depressive symptoms and cognitive decline in older adults. Int Psychogeriatr 2024:1-12. [PMID: 38623851 DOI: 10.1017/s1041610224000541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/17/2024]
Abstract
OBJECTIVES Few studies have examined the impact of late-life depression trajectories on specific domains of cognitive function. This study aims to delineate how different depressive symptom trajectories specifically affect cognitive function in older adults. DESIGN Prospective longitudinal cohort study. SETTING Australia and the United States of America. PARTICIPANTS In total, 11,035 community-dwelling older adults with a mean age of 75 years. MEASUREMENTS Depressive trajectories were modelled from depressive symptoms according to annual Centre for Epidemiological Studies Depression Scale 10 (CES-D-10) surveys. Four trajectories of depressive symptoms were identified: low ("nondepressed"), consistently mild ("subthreshold depression"), consistently moderate ("persistent depression"), and initially low but increasing ("emerging depression"). Global cognition (Modified Mini-Mental State Examination [3MS]), verbal fluency (Controlled Oral Word Association Test [COWAT]), processing speed (Symbol Digit Modalities Test [SDMT]), episodic memory (Hopkins Verbal Learning Test - Revised [HVLT-R]), and a composite z-score were assessed over a subsequent median 2 years. RESULTS Subthreshold depression predicted impaired performance on the SDMT (Cohen's d -0.04) and composite score (-0.03); emerging depression predicted impaired performance on the SDMT (-0.13), HVLT-R (-0.09), 3 MS (-0.08) and composite score (-0.09); and persistent depression predicted impaired performance on the SDMT (-0.08), 3 MS (-0.11), and composite score (-0.09). CONCLUSIONS Depressive symptoms are associated with later impaired processing speed. These effects are small. Diverse depression trajectories have different impacts on cognitive function.
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Affiliation(s)
- Malcolm Forbes
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, VIC, Australia
| | - Mojtaba Lotfaliany
- School of Medicine, Barwon Health, Deakin University, The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Geelong, VC, Australia
| | - Mohammadreza Mohebbi
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, VIC, Australia
| | | | - Robyn L Woods
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Suzanne Orchard
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Trevor Chong
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
| | - Bruno Agustini
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, VIC, Australia
| | - Adrienne O'Neil
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, VIC, Australia
| | - Joanne Ryan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Michael Berk
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, VIC, Australia
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Csukly G, Tombor L, Hidasi Z, Csibri E, Fullajtár M, Huszár Z, Koszovácz V, Lányi O, Vass E, Koleszár B, Kóbor I, Farkas K, Rosenfeld V, Berente DB, Bolla G, Kiss M, Kamondi A, Horvath AA. Low Functional network integrity in cognitively unimpaired and MCI subjects with depressive symptoms: results from a multi-center fMRI study. Transl Psychiatry 2024; 14:179. [PMID: 38580625 PMCID: PMC10997664 DOI: 10.1038/s41398-024-02891-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 03/19/2024] [Accepted: 03/22/2024] [Indexed: 04/07/2024] Open
Abstract
Evidence suggests that depressive symptomatology is a consequence of network dysfunction rather than lesion pathology. We studied whole-brain functional connectivity using a Minimum Spanning Tree as a graph-theoretical approach. Furthermore, we examined functional connectivity in the Default Mode Network, the Frontolimbic Network (FLN), the Salience Network, and the Cognitive Control Network. All 183 elderly subjects underwent a comprehensive neuropsychological evaluation and a 3 Tesla brain MRI scan. To assess the potential presence of depressive symptoms, the 13-item version of the Beck Depression Inventory (BDI) or the Geriatric Depression Scale (GDS) was utilized. Participants were assigned into three groups based on their cognitive status: amnestic mild cognitive impairment (MCI), non-amnestic MCI, and healthy controls. Regarding affective symptoms, subjects were categorized into depressed and non-depressed groups. An increased mean eccentricity and network diameter were found in patients with depressive symptoms relative to non-depressed ones, and both measures showed correlations with depressive symptom severity. In patients with depressive symptoms, a functional hypoconnectivity was detected between the Anterior Cingulate Cortex (ACC) and the right amygdala in the FLN, which impairment correlated with depressive symptom severity. While no structural difference was found in subjects with depressive symptoms, the volume of the hippocampus and the thickness of the precuneus and the entorhinal cortex were decreased in subjects with MCI, especially in amnestic MCI. The increase in eccentricity and diameter indicates a more path-like functional network configuration that may lead to an impaired functional integration in depression, a possible cause of depressive symptomatology in the elderly.
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Affiliation(s)
- Gabor Csukly
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary.
| | - László Tombor
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Zoltan Hidasi
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Eva Csibri
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Máté Fullajtár
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Zsolt Huszár
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Vanda Koszovácz
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Orsolya Lányi
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Edit Vass
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Boróka Koleszár
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - István Kóbor
- Medical Imaging Centre, Semmelweis University, Budapest, Hungary
| | - Katalin Farkas
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
| | - Viktoria Rosenfeld
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
| | - Dalida Borbála Berente
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
| | - Gergo Bolla
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
- Department of Measurement and Information Systems, University of Technology and Economics, Budapest, Hungary
| | - Mate Kiss
- Siemens Healthcare, Budapest, Hungary
| | - Anita Kamondi
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
- Department of Neurology, Semmelweis University, Budapest, Hungary
| | - Andras Attila Horvath
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
- Department of Anatomy Histology and Embryology, Semmelweis University, Budapest, Hungary
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Damsgaard L, Janbek J, Laursen TM, Høgh P, Vestergaard K, Gottrup H, Jensen‐Dahm C, Waldemar G. Mapping morbidity 10 years prior to a diagnosis of young onset Alzheimer's disease. Alzheimers Dement 2024; 20:2373-2383. [PMID: 38294143 PMCID: PMC11032518 DOI: 10.1002/alz.13681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/21/2023] [Accepted: 12/07/2023] [Indexed: 02/01/2024]
Abstract
INTRODUCTION Early symptoms in young onset Alzheimer's disease (YOAD) may be misinterpreted, causing delayed diagnosis. This population-based study aimed to map morbidity prior to YOAD diagnosis. METHODS In a register-based incidence density matched nested case-control study, we examined hospital-diagnosed morbidity for people diagnosed with YOAD in Danish memory clinics during 2016-2020 compared to controls in a 10-year period. Conditional logistic regression produced incidence rate ratios (IRRs). RESULTS The study included 1745 cases and 5235 controls. YOAD patients had a higher morbidity burden in the year immediately before dementia diagnosis, for certain disorders up to 10 years before. This was especially evident for psychiatric morbidity with the highest increased IRRs throughout the entire period and IRR 1.43 (95% confidence interval 1.14-1.79) in the 5-10-years before dementia diagnosis. DISCUSSION YOAD patients display a different pattern of morbidity up to 10 years prior to diagnosis. Awareness of specific alterations in morbidity may improve efforts toward a timely diagnosis. HIGHLIGHTS Retrospective, nested case-control study of young onset Alzheimer's disease (YOAD). YOAD cases had a higher morbidity burden than controls. YOAD cases had a higher psychiatric morbidity burden up to 10 years before diagnosis. Altered morbidity patterns could serve as an early warning sign of YOAD.
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Affiliation(s)
- Line Damsgaard
- Danish Dementia Research CentreDepartment of NeurologyCopenhagen University Hospital – RigshospitaletCopenhagenDenmark
| | - Janet Janbek
- Danish Dementia Research CentreDepartment of NeurologyCopenhagen University Hospital – RigshospitaletCopenhagenDenmark
| | - Thomas M. Laursen
- National Centre for Register‐based ResearchDepartment of Economics and Business EconomicsAarhus UniversityAarhusDenmark
| | - Peter Høgh
- Department of NeurologyZealand University HospitalRoskildeDenmark
- Department of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
| | - Karsten Vestergaard
- Dementia ClinicDepartment of NeurologyAalborg University HospitalAalborgDenmark
| | - Hanne Gottrup
- Dementia ClinicDepartment of NeurologyAarhus University HospitalAarhusDenmark
| | - Christina Jensen‐Dahm
- Danish Dementia Research CentreDepartment of NeurologyCopenhagen University Hospital – RigshospitaletCopenhagenDenmark
| | - Gunhild Waldemar
- Danish Dementia Research CentreDepartment of NeurologyCopenhagen University Hospital – RigshospitaletCopenhagenDenmark
- Department of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
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Ronat L, Hanganu A. Neuropsychiatric and cognitive features of major depressive disorder in aging, based on the data from the US National Alzheimer's Coordinating Center (NACC). L'ENCEPHALE 2024; 50:130-136. [PMID: 37088582 DOI: 10.1016/j.encep.2023.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 01/03/2023] [Accepted: 01/12/2023] [Indexed: 04/25/2023]
Abstract
OBJECTIVE The diagnosis of Major Depressive Disorder (MDD) is based on the DSM-V criteria and is established by a clinician. This allows quantifying depression based on clinical criteria. As such, MDD differs from other types of depressions that are measured by subjective scales. Here, we evaluated the MDD risk factor on other neuropsychiatric symptoms (NPS) as well as MDD association with cognitive performance in Alzheimer's disease (AD), Mild Cognitive Impairment (MCI) and Healthy Controls (HC). METHODS Data of 208 patients with AD, 291 patients with MCI and 647 HC were extracted from the National Alzheimer's Coordinating Center database. All participants included in this study were assessed by a physician for the MDD criteria, underwent an NPS evaluation using the NeuroPsychiatric Inventory, and a comprehensive cognitive assessment. Participants were classified as being with and without MDD. We performed logistic regression and MANCOVA models respectively with NPS and cognitive performance as variables of interest and MDD as fixed factors within each group. The MANCOVA was controlled for the effects of age, sex, and education. RESULTS MDD increased the risk for psychotic, affective and behavioral NPS in MCI, as well as affective and behavioral NPS in HC and AD. Also, MCI with MDD had lower performance on selective attention and mental flexibility. CONCLUSIONS MDD seems to increase the probability of a prevalence of NPS in all groups (HC, MCI and AD). Longitudinal data processing would help to understand the neuropsychiatric evolution of elderly subjects with MDD.
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Affiliation(s)
- L Ronat
- Centre de recherche de l'institut universitaire de gériatrie de Montréal, M7819, 4545 ch. Queen-Mary, H3W 1W6, Montréal, QC, Canada; Faculté de médecine, département de médecine, université de Montréal, Québec, Canada
| | - A Hanganu
- Centre de recherche de l'institut universitaire de gériatrie de Montréal, M7819, 4545 ch. Queen-Mary, H3W 1W6, Montréal, QC, Canada; Faculté des arts et des sciences, département de psychologie, université de Montréal, Québec, Canada.
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Dintica CS, Habes M, Schreiner PJ, Launer LJ, Yaffe K. Trajectories in depressive symptoms and midlife brain health. Transl Psychiatry 2024; 14:169. [PMID: 38553474 PMCID: PMC10980805 DOI: 10.1038/s41398-024-02883-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 03/06/2024] [Accepted: 03/15/2024] [Indexed: 04/02/2024] Open
Abstract
Depressive symptoms may either be a risk factor or prodromal to dementia. Investigating this association in midlife may help clarify the role of depression in cognitive aging. We aimed to identify trajectories in depressive symptoms in early to mid-life and related cognitive and brain outcomes in midlife. This study includes 3944 Black and White participants (ages 26-45 years at baseline) from the Coronary Artery Risk Development in Young Adults (CARDIA) study with 20 years of follow-up. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression scale at five time points over 20 years. Growth mixture modeling (GMM) was used to identify depressive symptom trajectories. Participants completed a neuropsychological battery 20 years after baseline, including the Digit Symbol Substitution Test (DSST), Rey-Auditory Verbal Learning Test (RAVLT), Stroop Test, Montreal Cognitive Assessment (MoCA), and category and letter fluency tests. A sub-sample of participants (n = 662) underwent brain magnetic resonance imaging (MRI) to characterize gray matter volumes and white matter hyperintensities (WMHs). We identified four classes of depressive symptom trajectories: a "declining" class (n = 286, 7.3%) with initially high symptoms and subsequent decline, a class with consistently high symptoms ("steady high"; n = 264, 6.7%), a class with late increases in symptoms ("increasing"; n = 277, 7%), and a class with consistently low symptoms ("steady low"; n = 3117, 79.0%). The steady high and the increasing classes had poorer performance on all cognitive tests, while the declining class had poorer performance on the DSST, verbal fluency, and MoCA. Compared to the steady low symptom class, the steady high class had lower volumes in the entorhinal cortex (β: -180.80, 95% CI: -336.69 to -24.91) and the amygdala (β: -40.97, 95% CI: -74.09 to -7.85), the increasing class had more WMHs (β: 0.55, 95% CI: 0.22 to 0.89), and the declining class was not significantly different in any brain measures. Trajectories in depressive symptoms in young to mid-adulthood show distinct cognitive and brain phenotypes in midlife. Steady high depressive symptoms may represent a group that is at risk for dementia, whereas increasing symptoms in midlife may be associated with white matter damage.
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Affiliation(s)
- Christina S Dintica
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, California, CA, USA.
| | - Mohamad Habes
- Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), San Antonio, TX, USA
| | - Pamela J Schreiner
- Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN, USA
| | | | - Kristine Yaffe
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, California, CA, USA
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Zhu L, Lei M, Tan L, Zou M. Sex difference in the association between BMI and cognitive impairment in Chinese older adults. J Affect Disord 2024; 349:39-47. [PMID: 38190856 DOI: 10.1016/j.jad.2024.01.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Revised: 11/30/2023] [Accepted: 01/03/2024] [Indexed: 01/10/2024]
Abstract
BACKGROUND The association between body mass index (BMI) and cognitive impairment (CI) has been the subject of extensive research, yet the precise dose-response effects remain undefined. METHODS Older adults were selected from the 2011/2012 survey at baseline and the new recruits from the 2014 and 2018 waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Multiple logistic regression models were used to evaluate the association between BMI categories and CI, and Restricted Cubic Spline (RCS) was used to explore the nonlinear relationship between BMI and CI. RESULTS The study included 29,380 older adults aged from 65 to 117 years, with an average age of 82 years. Of these, 13,465 were men, and 5359 exhibited cognitive impairment. The logistic model indicated that in female participants, being underweight was positively correlated with CI (OR:1.32; 95%CI 1.20-1.46), whereas being overweight was inversely correlated with CI (OR:0.86; 95%CI 0.75-0.99), and we didn't find any association between BMI category and CI in male participants. RCS modeling revealed a U-shaped relationship between BMI and CI. When stratified by sex, men exhibited a similar trend, with the lowest risk at a BMI of 22.774 kg/ m2, while women had the lowest risk of CI at a BMI of 24.817 kg/ m2. LIMITATION This was a cross-sectional study, it cannot provide information on causal relationships. CONCLUSION A U-shaped relationship was observed between BMI and CI in older adults, more pronounced in the male population, suggesting that male older adults may need to manage their BMI more rigorously.
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Affiliation(s)
- Lin Zhu
- Wuhan Pulmonary Hospital, Wuhan, China
| | - Mei Lei
- Wuhan Pulmonary Hospital, Wuhan, China
| | - Li Tan
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Mingjun Zou
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Freudenberg-Hua Y, Li W, Lee UJ, Ma Y, Koppel J, Goate A. Association between pre-dementia psychiatric diagnoses and all-cause dementia is independent from polygenic dementia risks in the UK Biobank. EBioMedicine 2024; 101:104978. [PMID: 38320878 PMCID: PMC10944156 DOI: 10.1016/j.ebiom.2024.104978] [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: 08/07/2023] [Revised: 12/27/2023] [Accepted: 01/08/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Psychiatric disorders have been associated with higher risk for future dementia. Understanding how pre-dementia psychiatric disorders (PDPD) relate to established dementia genetic risks has implications for dementia prevention. METHODS In this retrospective cohort study, we investigated the relationships between polygenic risk scores for Alzheimer's disease (AD PRS), PDPD, alcohol use disorder (AUD), and subsequent dementia in the UK Biobank (UKB) and tested whether the relationships are consistent with different causal models. FINDINGS Among 502,408 participants, 9352 had dementia. As expected, AD PRS was associated with greater risk for dementia (odds ratio (OR) 1.62, 95% confidence interval (CI), 1.59-1.65). A total of 94,237 participants had PDPD, of whom 2.6% (n = 2519) developed subsequent dementia, compared to 1.7% (n = 6833) of 407,871 participants without PDPD. Accordingly, PDPD were associated with 73% greater risk of incident dementia (OR 1.73, 1.65-1.83). Among dementia subtypes, the risk increase was 1.5-fold for AD (n = 3365) (OR 1.46, 1.34-1.59) and 2-fold for vascular dementia (VaD, n = 1823) (OR 2.08, 1.87-2.32). Our data indicated that PDPD were neither a dementia prodrome nor a mediator for AD PRS. Shared factors for both PDPD and dementia likely substantially account for the observed association, while a causal role of PDPD in dementia could not be excluded. AUD could be one of the shared causes for PDPD and dementia. INTERPRETATION Psychiatric diagnoses were associated with subsequent dementia in UKB participants, and the association is orthogonal to established dementia genetic risks. Investigating shared causes for psychiatric disorders and dementia would shed light on this dementia pathway. FUNDING US NIH (K08AG054727).
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Affiliation(s)
- Yun Freudenberg-Hua
- Center for Alzheimer's Disease Research, Institute of Molecular Medicine, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA; Division of Geriatric Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA.
| | - Wentian Li
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA; Center for Genomics and Human Genetics, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Un Jung Lee
- Biostatistics Unit, Office of Academic Affairs, Northwell Health, New Hyde Park, NY, USA
| | - Yilong Ma
- Center for Neurosciences, Institute of Molecular Medicine, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Jeremy Koppel
- Center for Alzheimer's Disease Research, Institute of Molecular Medicine, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA; Division of Geriatric Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
| | - Alison Goate
- Ronald M. Loeb Center for Alzheimer's Disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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van Gennip ACE, van Sloten TT, Fayosse A, Sabia S, Singh‐Manoux A. Age at cardiovascular disease onset, dementia risk, and the role of lifestyle factors. Alzheimers Dement 2024; 20:1693-1702. [PMID: 38085549 PMCID: PMC10947967 DOI: 10.1002/alz.13562] [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: 05/12/2023] [Revised: 09/25/2023] [Accepted: 11/01/2023] [Indexed: 01/18/2024]
Abstract
INTRODUCTION We first examined the role of age at cardiovascular disease (CVD) onset for incident dementia, and then examined whether lifestyle factors at guideline-recommended levels in individuals with CVD mitigates dementia risk. METHODS We used population-based data (Whitehall II: n = 10,308/baseline 1985-1988/examinations every 4-5 years). Lifestyle factors (non-smoking, body mass index [BMI], physical activity, diet) were extracted post-CVD. RESULTS Over a median of 31.6 years, 3275 (32.1%) developed CVD. At age 70, risk of dementia was higher in individuals with CVD onset before (hazard ratio [HR] of incident dementia for participants with CVD before age 60, using participants without CVD at age 70 as the reference: 1.56, 95% confidence interal [CI] 1.18-2.08) but not after 60 years. In participants with CVD, a greater number of lifestyle factors at recommended levels post-CVD was associated with a lower dementia risk (per lifestyle factor at recommended level HR: 0.73, 95% CI 0.59-0.92). DISCUSSION Our results suggest that early onset CVD is associated with a higher dementia risk at older ages. In those with CVD, the dementia risk was lower if lifestyle factors are at recommended levels following CVD diagnosis. HIGHLIGHTS CVD in midlife but not in late life is associated with a higher risk of dementia. Dementia risk in CVD patients is lower if their lifestyle factors are at recommended levels. These findings provide evidence to promote CVD prevention in midlife or earlier. Study findings also show the importance of a healthy lifestyle in those with CVD.
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Affiliation(s)
- April C. E. van Gennip
- Epidemiology of Ageing and Neurodegenerative Diseases, Inserm U1153Université Paris CitéParisFrance
- Department of Internal MedicineMaastricht University Medical CentreMaastrichtThe Netherlands
- School for Cardiovascular Diseases CARIMMaastricht UniversityMaastrichtThe Netherlands
| | - Thomas T. van Sloten
- Department of Vascular MedicineUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Aurore Fayosse
- Epidemiology of Ageing and Neurodegenerative Diseases, Inserm U1153Université Paris CitéParisFrance
| | - Séverine Sabia
- Epidemiology of Ageing and Neurodegenerative Diseases, Inserm U1153Université Paris CitéParisFrance
- Faculty of Brain SciencesUniversity College LondonLondonUK
| | - Archana Singh‐Manoux
- Epidemiology of Ageing and Neurodegenerative Diseases, Inserm U1153Université Paris CitéParisFrance
- Faculty of Brain SciencesUniversity College LondonLondonUK
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Ichijo K, Takahata K, Kurose S, Watanabe T, Nagase Y, Endo H, Tagai K, Ishitobi M, Higuchi M. Late-life mood disorder as the initial presentation of progressive supranuclear palsy: A case series. PCN REPORTS : PSYCHIATRY AND CLINICAL NEUROSCIENCES 2024; 3:e178. [PMID: 38868471 PMCID: PMC11114410 DOI: 10.1002/pcn5.178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 01/16/2024] [Accepted: 02/06/2024] [Indexed: 06/14/2024]
Abstract
Aim Progressive supranuclear palsy (PSP) is a rapidly progressive neurodegenerative disorder characterized by Parkinsonism, supranuclear ophthalmoplegia, postural instability, and cognitive impairment. Patients This case series describes three patients initially diagnosed with late-life mood disorders (depression and bipolar disorder) who were later diagnosed with PSP because of the development of typical neurological symptoms. Result The diagnostic challenge of PSP is highlighted in this case report, particularly in the early stages, when characteristic symptoms may not be present. The importance of considering PSP in the differential diagnosis of late-life mood disorders, especially in the absence of response to standard antidepressant therapy, is also emphasized. The heterogeneity of PSP is described, with various subtypes and atypical variants presenting with different clinical features. The psychiatric symptoms of PSP include apathy, disinhibition, depression, and anxiety, whereas hallucinations and delusions are less frequent. Tau positron emission tomography imaging is discussed as a potential biomarker for atypical PSP. Conclusion Early diagnosis and intervention are crucial for improved outcomes in PSP, necessitating further research to enhance the diagnostic and treatment strategies for PSP and other neurodegenerative diseases.
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Affiliation(s)
| | - Keisuke Takahata
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyInageChibaJapan
| | - Shin Kurose
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyInageChibaJapan
| | | | - Yukihiro Nagase
- Takatsuki HospitalHachiojiTokyoJapan
- Department of PsychiatryNihon University School of MedicineItabashiTokyoJapan
| | - Hironobu Endo
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyInageChibaJapan
| | - Kenji Tagai
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyInageChibaJapan
| | | | - Makoto Higuchi
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyInageChibaJapan
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Hu R, Li J, Lu Y, Luo H, Zhang Y, Wang X, Zhang Z, Luo Q. The effect of transcranial direct current stimulation (tDCS) on cognitive function recovery in patients with depression following electroconvulsive therapy (ECT): protocol for a randomized controlled trial. BMC Psychiatry 2024; 24:130. [PMID: 38365634 PMCID: PMC10870564 DOI: 10.1186/s12888-024-05567-9] [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: 09/13/2023] [Accepted: 01/29/2024] [Indexed: 02/18/2024] Open
Abstract
BACKGROUND Electroconvulsive therapy (ECT) is a highly effective treatment for depressive disorder. However, the use of ECT is limited by its cognitive side effects (CSEs), and no specific intervention has been developed to address this problem. As transcranial direct current stimulation (tDCS) is a safe and useful tool for improving cognitive function, the main objective of this study was to explore the ability to use tDCS after ECT to ameliorate the cognitive side effects. METHODS 60 eligible participants will be recruited within two days after completing ECT course and randomly assigned to receive either active or sham stimulation in a blinded, parallel-design trial and continue their usual pharmacotherapy. The tDCS protocol consists of 30-min sessions at 2 mA, 5 times per week for 2 consecutive weeks, applied through 15-cm2 electrodes. An anode will be placed over the left dorsolateral prefrontal cortex (DLPFC), and a cathode will be placed over the right supraorbital cortex. Cognitive function and depressive symptoms will be assessed before the first stimulation (T0), after the final stimulation (T1), 2 weeks after the final stimulation (T2), and 4 weeks after the final stimulation (T3) using the Cambridge Neuropsychological Test Automated Battery (CANTAB). DISCUSSION We describe a novel clinical trial to explore whether the administration of tDCS after completing ECT course can accelerates recovery from the CSEs. We hypothesized that the active group would recover faster from the CSEs and be superior to the sham group. If our hypothesis is supported, the use of tDCS could benefit eligible patients who are reluctant to receive ECT and reduce the risk of self-inflicted or suicide due to delays in treatment. TRIAL REGISTRATION DETAILS The trial protocol is registered with https://www.chictr.org.cn/ under protocol registration number ChiCTR2300071147 (date of registration: 05.06.2023). Recruitment will start in November 2023.
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Affiliation(s)
- Renqin Hu
- Department of Psychiatry, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Junyao Li
- Department of Psychiatry, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yulin Lu
- Department of Psychiatry, People's Hospital of Chongqing Banan District, Chongqing, China
| | - Huirong Luo
- Department of Psychiatry, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yinlin Zhang
- Department of Psychiatry, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xueqian Wang
- Department of Psychiatry, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Zheng Zhang
- Department of Psychiatry, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Qinghua Luo
- Department of Psychiatry, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
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50
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Kalam S, Numbers K, Lipnicki DM, Lam BCP, Brodaty H, Reppermund S. The combination of olfactory dysfunction and depression increases the risk of incident dementia in older adults. Int Psychogeriatr 2024; 36:130-141. [PMID: 37264675 DOI: 10.1017/s1041610223000480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
OBJECTIVES Olfactory dysfunction and depression are common in later life, and both have been presented as risk factors for dementia. Our purpose was to investigate the associations between these two risk factors and determine if they had an additive effect on dementia risk. DESIGN Olfactory function was assessed using the Brief Smell Identification Test (BSIT), and depression was classified using a combination of the 15-item Geriatric Depression Scale (GDS) score and current antidepressant use. Cross-sectional associations between depression and olfactory function were examined using correlations. Cox regression analyses were conducted to examine the longitudinal relationship between olfaction and depression and incident dementia across 12-years of follow-up. PARTICIPANTS Participants were 780 older adults (aged 70-90 years; 56.5% female) from the Sydney Memory and Ageing Study (MAS) without a diagnosis of dementia at baseline. RESULTS Partial correlation revealed a nonsignificant association between baseline depression and olfactory function after accounting for covariates (r = -.051, p = .173). Cox regression showed that depression at baseline (hazard ratio = 1.706, 95% CI 1.185-2.456, p = .004) and lower BSIT scores (HR = .845, 95%CI .789-.905, p < .001) were independently associated with a higher risk of incident dementia across 12 years. Entering both predictors together improved the overall predictive power of the model. CONCLUSIONS Lower olfactory identification scores and depressive symptoms predict incident dementia over 12 years. The use of BSIT scores and depression in conjunction provides a greater ability to predict dementia than either used alone. Assessment of olfactory function and depression screening may provide clinical utility in the early detection of dementia.
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Affiliation(s)
- Shafi Kalam
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, Faculty of Medicine & Health, University of New South Wales, Sydney, NSW, Australia
| | - Katya Numbers
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, Faculty of Medicine & Health, University of New South Wales, Sydney, NSW, Australia
| | - Darren M Lipnicki
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, Faculty of Medicine & Health, University of New South Wales, Sydney, NSW, Australia
| | - Ben C P Lam
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, Faculty of Medicine & Health, University of New South Wales, Sydney, NSW, Australia
- School of Psychology and Public Health, La Trobe University, VIC, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, Faculty of Medicine & Health, University of New South Wales, Sydney, NSW, Australia
| | - Simone Reppermund
- Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, Faculty of Medicine & Health, University of New South Wales, Sydney, NSW, Australia
- Department of Developmental Disability Neuropsychiatry (3DN), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, Faculty of Medicine & Health, University of New South Wales, Sydney, NSW, Australia
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