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Deng MG, Wang K, Liu F, Zhou X, Nie JQ, Zhao ZH, Liu J. Shared genetic architecture and causal relationship between frailty and schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2025; 11:24. [PMID: 39984493 PMCID: PMC11845589 DOI: 10.1038/s41537-024-00550-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2024] [Accepted: 12/20/2024] [Indexed: 02/23/2025]
Abstract
The complex relationship between frailty and schizophrenia has yet to be fully understood. This study aims to clarify their relationship by investigating their genetic links. We hypothesize a shared genetic architecture and a bidirectional causal relationship between the two conditions. Utilizing summary genetic data from European genome-wide association studies, we analyzed genetic associations through global and local correlations, shared genomic loci, tissue enrichments, and functional genes. Bidirectional Mendelian Randomization (MR) was employed to infer causality. Our findings show a positive genetic correlation between frailty and schizophrenia (LDSC: rg = 0.117, p = 6.686 × 10-7; HDL: rg = 0.101, p = 5.63 × 10-13) and local correlations in three genomic regions (chr9: 94167203-96671698, p = 2.21 × 10-6; chr11: 112459488-114257728, p = 1.01 × 10-5; and chr18: 77149991-78017158, p = 9.57 × 10-6). We identified 111 genomic loci associated with both conditions and demonstrated that genetic variants for frailty and schizophrenia share tissue enrichments and functional genes in brain. MR analysis suggests that frailty increases the likelihood of schizophrenia (OR: 1.763, 95% CI: 1.259-2.468, p = 0.001) and vice versa (β: 0.012, 95% CI: 0.006-0.018, p < 0.001). Our research supports the presence of a shared genetic basis and bidirectional causality between frailty and schizophrenia. These findings necessitate further investigation in diverse populations to confirm and expand on this genetic understanding.
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Affiliation(s)
- Ming-Gang Deng
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, 430012, China.
- Department of Psychiatry, Wuhan Hospital for Psychotherapy, Wuhan, 430012, China.
| | - Kai Wang
- Department of Public Health, Wuhan Fourth Hospital, Wuhan, 430000, Hubei, China
| | - Fang Liu
- School of Laboratory Medicine, Hubei University of Chinese Medicine, Wuhan, 430065, Hubei, China
| | - Xiuxiu Zhou
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, 430012, China
- Department of Psychiatry, Wuhan Hospital for Psychotherapy, Wuhan, 430012, China
| | - Jia-Qi Nie
- Xiaogan Center for Disease Control and Prevention, Xiaogan, 432000, Hubei, China
| | - Zhi-Hui Zhao
- School of Nursing, Shanghai Jiao Tong University, Shanghai, 200025, China
| | - Jiewei Liu
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, 430012, China.
- Department of Psychiatry, Wuhan Hospital for Psychotherapy, Wuhan, 430012, China.
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Harandi H, Mohammadi S, Jahanshahi A, Dolatshahi M, Alikarami S, Zafari R, Raji C. Neuroimaging Findings in Nondemented Frail Individuals: A Systematic Review. J Cachexia Sarcopenia Muscle 2025; 16:e13719. [PMID: 39934085 PMCID: PMC11813630 DOI: 10.1002/jcsm.13719] [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: 07/09/2024] [Revised: 11/20/2024] [Accepted: 01/02/2025] [Indexed: 02/13/2025] Open
Abstract
BACKGROUND Frailty is a chronic condition characterised by the progressive decline of multiple physiological functions. There is a critical need to investigate neuroimaging findings in nondemented frail individuals to better understand the underlying mechanisms and implications of frailty on brain health. This paper is aimed at reviewing neuroimaging studies assessing brain changes in nondemented frail individuals to understand the neuropsychological basis of frailty. METHODS A systematic review was conducted on studies focusing on neuroimaging modalities in frailty, including MRI, fMRI, DTI and PET. The review was based on PRISMA instructions and a two-step screening process. The studies evaluating neuroimaging findings of nondemented frail individuals, regardless of publication time or participant age, were included. Data were extracted from the included studies, and the quality of the studies as well as risk of bias was assessed. RESULTS Out of 1604 studies screened, 22 eligible studies were included. Out of these, 10 studies had good quality, while others had fair quality according to the Newcastle Ottawa scale (NOS). Of these studies, 18 used Fried criteria or a modified version of it to diagnose frailty, while the Edmonton frailty score (EFS), Rockwood and Mitnitski frailty index and frailty index (FI) were implemented by the remaining studies. The MRI findings indicated significant differences in brain structure between nondemented frail and robust individuals, including an increased number and size of white matter hyperintensities, reduced grey matter volume, higher cerebrospinal fluid (CSF) volume and increased number of cerebral microbleeds (CMBs) in frail participants compared to the robust ones. The studies showed no significant difference between at-risk and robust groups regarding total intracranial volume (TIV). The number of CMBs was associated with prefrailty status and its severity. fMRI studies showed decreased intranetwork mean functional connectivity (FC) in nondemented frail individuals. DTI studies showed lower fractional anisotropy (FA), higher axial diffusivity (AD) and higher radial diffusivity (RD) in the nondemented frail group. The PET scan study showed that mean cortical beta-amyloid level was not associated with FI, but the accumulation of beta-amyloid in the anterior and posterior putamen and precuneus region significantly correlated with frailty and its severity. CONCLUSION The study reveals significant differences in brain structures between nondemented frail and robust individuals, including increased white matter hyperintensities and reduced grey matter volume. These differences suggest that vascular changes and brain atrophy in nondemented frail individuals may contribute to cognitive impairment and dementia in the future.
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Affiliation(s)
- Hamid Harandi
- School of MedicineTehran University of Medical SciencesTehranIran
- Research Center for Antibiotic Stewardship and Antimicrobial Resistance, Imam Khomeini Hospital ComplexTehran University of Medical SciencesTehranIran
| | - Soheil Mohammadi
- Mallinckrodt Institute of RadiologyWashington University in St. LouisSaint LouisMissouriUSA
| | - Ali Jahanshahi
- School of MedicineGuilan University of Medical SciencesRashtIran
| | - Mahsa Dolatshahi
- Mallinckrodt Institute of RadiologyWashington University in St. LouisSaint LouisMissouriUSA
| | - Sogol Alikarami
- School of MedicineTehran University of Medical SciencesTehranIran
| | - Rasa Zafari
- School of MedicineTehran University of Medical SciencesTehranIran
| | - Cyrus A. Raji
- Mallinckrodt Institute of RadiologyWashington University in St. LouisSaint LouisMissouriUSA
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Sheng ZH, Liu JY, Ma JY, Mi YC, Wang H, Guo F, Ma LZ, Tan L. Frailty increases the risk of Alzheimer's disease in non-demented individuals: A longitudinal cohort study. J Alzheimers Dis 2025; 103:1023-1035. [PMID: 39956938 DOI: 10.1177/13872877241309081] [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] [Indexed: 02/18/2025]
Abstract
BACKGROUND Frailty, which is considered a potential modifiable risk factor for dementia, continues to generate debate when it comes to Alzheimer's disease (AD). Furthermore, the underlying pathological mechanisms linking frailty to AD remain uncertain. OBJECTIVE We aimed to investigate the relationship between frailty and the risk of AD while elucidating the connections between frailty, AD biomarkers, and cognitive function. METHODS Total of 829 non-frail (261 robust, 568 pre-frail) and 94 frail individuals from the Alzheimer's Disease Neuroimaging Initiative database were recruited. Kaplan-Meier analysis and Cox regression assessed AD risk across diverse frail statuses in 923 non-demented individuals. Multiple linear regression, mixed effects models and causal mediation analyses bootstrapped 10,000 iterations were conducted to examined underlying associations. RESULTS The frail group had a 67.7% increased risk of AD than non-frail group (HR = 1.677; 95%CI, 1.179-2.385; p = 0.004), a 61.8% increased risk of AD than pre-frail group (HR = 1.618; 95%CI, 1.131-2.316; p = 0.009) and a far higher risk of AD than robust group (HR = 2.011; 95%CI, 1.263-3.202; p = 0.003). Frailty was associated with cognitive decline (global cognition, memory and executive function), whole brain and hippocampus atrophy, and ventricle dilation. Higher frail degree predicted faster cognitive decline, brain atrophy and ventricle dilation. Frailty's association with cognition was partially mediated by volume of whole brain (29.54%-30.17% of total effect), hippocampus (18.21%-24.55% of total effect), and ventricle (baseline, 7.62%-10.87% of total effect; change rate, 13.30%-24.33% of total effect). CONCLUSIONS Frailty as a potential risk factor for AD, further mechanisms investigation is warranted; mitigating frailty could potentially contribute to AD prevention.
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Affiliation(s)
- Ze-Hu Sheng
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jia-Yao Liu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jun-Yi Ma
- Shandong First Medical University, Jinan, China
| | - Yin-Chu Mi
- Department of Neurology, Qingdao Municipal Hospital, Dalian Medical University, Dalian, China
| | - Hao Wang
- Department of Neurology, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China
| | - Fan Guo
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ling-Zhi Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, 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 2025; 82:61-71. [PMID: 39527039 PMCID: PMC11555573 DOI: 10.1001/jamaneurol.2024.3774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [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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Taylor J, Robledo KP, Medel V, Heller G, Payne T, Wehrman J, Casey C, Yang PF, Krause BM, Lennertz R, Naismith S, Teixeira-Pinto A, Sanders RD. Association between surgical admissions, cognition, and neurodegeneration in older people: a population-based study from the UK Biobank. THE LANCET. HEALTHY LONGEVITY 2024; 5:100623. [PMID: 39245058 PMCID: PMC11460833 DOI: 10.1016/j.lanhl.2024.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 07/15/2024] [Accepted: 07/17/2024] [Indexed: 09/10/2024] Open
Abstract
BACKGROUND Previous studies have shown that major surgical and medical hospital admissions are associated with cognitive decline in older people (aged 40-69 years at recruitment), which is concerning for patients and caregivers. We aimed to validate these findings in a large cohort and investigate associations with neurodegeneration using MRI. METHODS For this population-based study, we analysed data from the UK Biobank collected from March 13, 2006, to July 16, 2023, linked to the National Health Service Hospital Episode Statistics database, excluding participants with dementia diagnoses. We constructed fully adjusted models that included age, time, sex, Lancet Commission dementia risk factors, stroke, and hospital admissions with a participant random effect. Primary outcomes were hippocampal volume and white matter hyperintensities, both of which are established markers of neurodegeneration, and exploratory analyses investigated the cortical thickness of Desikan-Killiany-Tourville atlas regions. The main cognitive outcomes were reaction time, fluid intelligence, and prospective and numeric memory. Surgeries were calculated cumulatively starting from 8 years before the baseline evaluation. FINDINGS Of 502 412 participants in the UK Biobank study, 492 802 participants were eligible for inclusion in this study, of whom 46 706 underwent MRI. Small adverse associations with cognition were found per surgery: reaction time increased by 0·273 ms, fluid intelligence score decreased by 0·057 correct responses, prospective memory (scored as correct at first attempt) decreased (odds ratio 0·96 [95% CI 0·95 to 0·97]), and numeric memory maximum correct matches decreased by 0·025 in fully adjusted models. Surgeries were associated with smaller hippocampal volume (β=-5·76 mm³ [-7·89 to -3·64]) and greater white matter hyperintensities volume (β=100·02 mm³ [66·17 to 133·87]) in fully adjusted models. Surgeries were also associated with neurodegeneration of the insula and superior temporal cortex. INTERPRETATION This population-based study corroborates that surgeries are generally safe but cumulatively are associated with cognitive decline and neurodegeneration. Perioperative brain health should be prioritised for older and vulnerable patients, particularly those who have multiple surgical procedures. FUNDING The Australian and New Zealand College of Anaesthetists (ANZCA) Foundation and the University of Sydney.
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Affiliation(s)
- Jennifer Taylor
- Department of Anaesthetics, Royal Prince Alfred Hospital, Sydney Local Health District, Sydney, NSW, Australia; NHMRC Clinical Trials Centre, The University of Sydney, Sydney, NSW, Australia; Central Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
| | - Kristy P Robledo
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, NSW, Australia
| | - Vicente Medel
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Gillian Heller
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, NSW, Australia
| | - Thomas Payne
- Department of Anaesthetics, Royal Prince Alfred Hospital, Sydney Local Health District, Sydney, NSW, Australia; NHMRC Clinical Trials Centre, The University of Sydney, Sydney, NSW, Australia; Central Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Jordan Wehrman
- Department of Anaesthetics, Royal Prince Alfred Hospital, Sydney Local Health District, Sydney, NSW, Australia; NHMRC Clinical Trials Centre, The University of Sydney, Sydney, NSW, Australia; Central Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Cameron Casey
- Department of Anesthesiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Phillip F Yang
- Surgical Outcomes Research Centre (SOuRCe), Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; South West Sydney Clinical Campus, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Bryan M Krause
- Department of Anesthesiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Richard Lennertz
- Department of Anesthesiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Sharon Naismith
- Healthy Brain Ageing Program, Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; School of Psychology, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - Armando Teixeira-Pinto
- School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Robert D Sanders
- Department of Anaesthetics, Royal Prince Alfred Hospital, Sydney Local Health District, Sydney, NSW, Australia; NHMRC Clinical Trials Centre, The University of Sydney, Sydney, NSW, Australia; Central Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
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Cipolli GC, Ribeiro IC, Yasuda CL, Balthazar MLF, Fattori A, Yassuda MS. Frailty and brain changes in older adults without cognitive impairment: A scoping review. Arch Gerontol Geriatr 2024; 123:105395. [PMID: 38492289 DOI: 10.1016/j.archger.2024.105395] [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: 12/22/2023] [Revised: 02/11/2024] [Accepted: 03/02/2024] [Indexed: 03/18/2024]
Abstract
Little is known about changes in the brain associated with frailty, in particular, which brain areas could be related to frailty in older people without cognitive impairment. This scoping review mapped evidence on functional and/or structural brain changes in frail older adults without cognitive impairment. The methodology proposed by the JBI® was used in this study. The search in PubMed, PubMed PMC, BVS/BIREME, EBSCOHOST, Scopus, Web of Science, Embase, and PROQUEST was conducted up to January 2023. Studies included following the population, concepts, context and the screening and data extraction were performed by two independent reviewers. A total of 9,912 records were identified, 5,676 were duplicates and were excluded. The remaining articles were screened; 31 were read in full and 17 articles were included. The results showed that lesions in white matter hyperintensities, reduced volume of the hippocampus, cerebellum, middle frontal gyrus, low gray matter volume, cortical atrophy, decreased connectivity of the supplementary motor area, presence of amyloid-beta peptide (aβ) in the anterior and posterior putamen and precuneus regions were more frequently observed in frail older adults, compared with non-frail individuals. Studies have suggested that such findings may be of neurodegenerative or cerebrovascular origin. The identification of these brain alterations in frail older adults through neuroimaging studies contributes to our understanding of the underlying mechanisms of frailty. Such findings may have implications for the early detection of frailty and implementation of intervention strategies.
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Affiliation(s)
- Gabriela Cabett Cipolli
- Postgraduate Program in Gerontology, College of Medical Sciences, State University of Campinas, Campinas, Brazil
| | - Isadora Cristina Ribeiro
- Postgraduate Program in Medical Pathophysiology, Faculty of Medical Sciences, State University of Campinas, Campinas, Brazil
| | - Clarissa Lin Yasuda
- Faculty of Medical Sciences, Department of Neurology, State University of Campinas, Campinas, Brazil
| | | | - André Fattori
- Postgraduate Program in Gerontology, College of Medical Sciences, State University of Campinas, Campinas, Brazil; Faculty of Medical Sciences, Department of Internal Medicine, State University of Campinas, Campinas, Brazil
| | - Mônica Sanches Yassuda
- Postgraduate Program in Gerontology, College of Medical Sciences, State University of Campinas, Campinas, Brazil; Postgraduate Program in Gerontology, University of São Paulo, São Paulo, Brazil.
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Guillotin S, Fulzele A, Vallet A, de Peredo AG, Mouton‐Barbosa E, Cestac P, Andrieu S, Burlet‐Schiltz O, Delcourt N, Schmidt E. Cerebrospinal fluid proteomic profile of frailty: Results from the PROLIPHYC cohort. Aging Cell 2024; 23:e14168. [PMID: 38698559 PMCID: PMC11258431 DOI: 10.1111/acel.14168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/21/2024] [Accepted: 03/25/2024] [Indexed: 05/05/2024] Open
Abstract
Frailty is a clinical state reflecting a decrease in physiological reserve capacities, known to affect numerous biological pathways and is associated with health issues, including neurodegenerative diseases. However, how global protein expression is affected in the central nervous system in frail subject remains underexplored. In this post hoc cross-sectional biomarker analysis, we included 90 adults (52-85 years) suspected of normal pressure hydrocephalus (NPH) and presenting with markers of neurodegenerative diseases. We investigated the human proteomic profile of cerebrospinal fluid associated with frailty defined by an established cumulated frailty index (FI, average = 0.32), not enriched for neurology clinical features. Using a label-free quantitative proteomic approach, we identified and quantified 999 proteins of which 13 were positively associated with frailty. Pathway analysis with the top positively frailty-associated proteins revealed enrichment for proteins related to inflammation and immune response. Among the 60 proteins negatively associated with frailty, functional pathways enriched included neurogenesis, synaptogenesis and neuronal guidance. We constructed a frailty prediction model using ridge regression with 932 standardized proteins. Our results showed that the "proteomic model" could become an equivalent predictor of FI in order to study chronological age. This study represents the first comprehensive exploration of the proteomic profile of frailty within cerebrospinal fluid. It sheds light on the physiopathology of frailty, particularly highlighting processes of neuroinflammation and inhibition of neurogenesis. Our findings unveil a range of biological mechanisms that are dysregulated in frailty, in NPH subjects at risk of neurodegenerative impairment, offering new perspectives on frailty phenotyping and prediction.
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Affiliation(s)
- Sophie Guillotin
- Aging‐MAINTAIN Research Team, Center for Epidemiology and Research in POPulation Health (CERPOP)University of ToulouseToulouseFrance
- Poison Control CenterToulouse University HospitalToulouseFrance
| | - Amit Fulzele
- Institute of Pharmacology and Structural Biology (IPBS)University of Toulouse, CNRS, University of Toulouse III (Paul Sabatier (UT3)ToulouseFrance
- Present address:
Institute of Molecular BiologyUniversity of MainzMainzGermany
| | - Alexandra Vallet
- Biological Tissue and Surface Engineering DepartmentINSERM U1059 Sainbiose, Ecole Des Mines of Saint‐EtienneSaint‐EtienneFrance
| | - Anne Gonzalez de Peredo
- Institute of Pharmacology and Structural Biology (IPBS)University of Toulouse, CNRS, University of Toulouse III (Paul Sabatier (UT3)ToulouseFrance
| | - Emmanuelle Mouton‐Barbosa
- Institute of Pharmacology and Structural Biology (IPBS)University of Toulouse, CNRS, University of Toulouse III (Paul Sabatier (UT3)ToulouseFrance
| | - Philippe Cestac
- Aging‐MAINTAIN Research Team, Center for Epidemiology and Research in POPulation Health (CERPOP)University of ToulouseToulouseFrance
- Department of Clinical PharmacyToulouse University HospitalToulouseFrance
| | - Sandrine Andrieu
- Aging‐MAINTAIN Research Team, Center for Epidemiology and Research in POPulation Health (CERPOP)University of ToulouseToulouseFrance
- Department of Epidemiology and Public HealthToulouse University HospitalToulouseFrance
- IHU HealthAgeToulouseFrance
| | - Odile Burlet‐Schiltz
- Institute of Pharmacology and Structural Biology (IPBS)University of Toulouse, CNRS, University of Toulouse III (Paul Sabatier (UT3)ToulouseFrance
| | - Nicolas Delcourt
- Poison Control CenterToulouse University HospitalToulouseFrance
- Toulouse NeuroImaging Center (ToNIC)University of Toulouse, INSERM UPSToulouseFrance
| | - Eric Schmidt
- Toulouse NeuroImaging Center (ToNIC)University of Toulouse, INSERM UPSToulouseFrance
- Department of NeurosurgeryToulouse University HospitalToulouseFrance
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Zhang X, Wang Z, Zou J, Zhang L, Ning JH, Jiang B, Liang Y, Zhang YZ. Association between physical frailty and cortical structure in middle-aged and elderly people: a Mendelian randomization study. Front Aging Neurosci 2024; 16:1395553. [PMID: 38841102 PMCID: PMC11150765 DOI: 10.3389/fnagi.2024.1395553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 05/06/2024] [Indexed: 06/07/2024] Open
Abstract
Introduction Physical weakness is associated with cortical structures, but the exact causes remain to be investigated. Therefore, we utilized Mendelian randomization (MR) analysis to uncover the underlying connection between frailty and cortical structures. Methods The Genome-Wide Association Study (GWAS) on frailty pooled data from publicly available sources such as the UK Biobank and included five indicators of frailty: weakness, walking speed, weight loss, physical activity, and exhaustion. GWAS data on cerebral cortical structure were obtained from the ENIGMA consortium, and we assessed the causal relationship between hereditary frailty and cortical surface area (SA) or cortical thickness (TH). Inverse variance weighting (IVW) was used as the primary estimate, and heterogeneity and multidimensionality were monitored by MR-PRESSO to detect outliers. Additionally, MR-Egger, Cochran's Q test, and weighted median were employed. Results At the aggregate level, there was no causal relationship between frailty and cortical thickness or surface area. At the regional level, frailty was associated with the thickness of the middle temporal lobe, parahippocampus, rostral middle frontal lobe, lower parietal lobe, anterior cingulate gyrus, upper temporal lobe, lateral orbital frontal cortex, pericardial surface area, rostral middle frontal lobe, upper temporal lobe, rostral anterior cingulate gyrus, lower parietal lobe, and upper parietal lobe. These results were nominally significant, and sensitivity analyses did not detect any multidirectionality or heterogeneity, suggesting that the results of our analyses are reliable. Discussion The results of our analyses suggest a potential causal relationship between somatic weakness and multiple regions of cortical structure. However, the specific mechanisms of influence remain to be investigated. Preliminary results from our analysis suggest that the effects of physical frailty on cortical structures are influenced by various factors related to frailty exposure. This relationship has been documented, and it is therefore both feasible and meaningful to build on existing research to explore the clinical significance of the relationship.
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Affiliation(s)
- Xin Zhang
- College of Basic Medical Sciences, Dali University, Dali, Yunnan, China
| | - Zhen Wang
- College of Basic Medical Sciences, Dali University, Dali, Yunnan, China
| | - Jing Zou
- The First Affiliated Hospital of Dali University, Dali, Yunnan, China
| | - Le Zhang
- College of Basic Medical Sciences, Dali University, Dali, Yunnan, China
| | - Jing-Hua Ning
- College of Basic Medical Sciences, Dali University, Dali, Yunnan, China
| | - Bei Jiang
- Yunnan Key Laboratory of Screening and Research on Anti-pathogenic Plant Resources from West Yunnan (Cultivation), Dali, Yunnan, China
| | - Yi Liang
- Princess Margaret Cancer Centre, TMDT-MaRS Centre, University Health Network, Toronto, ON, Canada
| | - Yu-Zhe Zhang
- College of Basic Medical Sciences, Dali University, Dali, Yunnan, China
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9
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Kurita S, Tsutsumimoto K, Kiuchi Y, Nishimoto K, Harada K, Shimada H. Cross-sectional associations between sedentary time with cognitive engagement and brain volume among community-dwelling vulnerable older adults. Geriatr Gerontol Int 2024; 24:82-89. [PMID: 38140759 DOI: 10.1111/ggi.14764] [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: 07/10/2023] [Revised: 10/30/2023] [Accepted: 11/19/2023] [Indexed: 12/24/2023]
Abstract
AIMS Vulnerable older adults tend to decrease physical activity (PA) and increase sedentary time (ST). Previous research on the associations between ST and brain volume have yielded inconsistent findings, without considering the impact of cognitive engagement (CE) on cognitive function. We aimed to examine the association between ST with CE and brain volume. METHODS A structural magnetic resonance imaging survey was conducted among community-dwelling vulnerable older adults. Brain volumetric measurements were obtained using 3T magnetic resonance imaging and pre-processed using FreeSurfer. ST with low or high CE was assessed using a 12-item questionnaire. PA was assessed by the frequency of light and moderate levels of physical exercise according to the Japanese version of the Cardiovascular Health Study criteria. Participants were categorized into a low PA group and a moderate-to-high PA group. RESULTS Among 91 participants (83.1 ± 5.2 years old, 61.5% female), 26 were low PA. The overall sample and moderate-to-high PA group did not show significant positive associations with brain volume for ST with high CE. In the low PA group, isotemporal substitution models showed that replacing ST with low CE by ST with high CE was significantly associated with increased brain volume in some areas, including the rostral and caudal anterior cingulate (β = 0.486-0.618, all P < 0.05, adjusted R2 = 0.344-0.663). CONCLUSIONS Our findings suggest that replacing ST with low CE by ST with high CE is positively associated with brain volume in vulnerable older adults with low PA. Geriatr Gerontol Int 2024; 24: 82-89.
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Affiliation(s)
- Satoshi Kurita
- Department of Preventive Gerontology, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Kota Tsutsumimoto
- Department of Preventive Gerontology, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Yuto Kiuchi
- Department of Preventive Gerontology, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
- Graduate School of Health Sciences, Kagoshima University, Kagoshima, Japan
| | - Kazuhei Nishimoto
- Department of Preventive Gerontology, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Medical Sciences, Medical Science Division, Graduate School of Medicine, Science and Technology, Shinshu University, Nagano, Japan
| | - Kenji Harada
- Department of Preventive Gerontology, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Hiroyuki Shimada
- Department of Preventive Gerontology, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
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10
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Shuster E, Miles AE, Heyland LK, Calarco N, Jeyachandra J, Mansour S, Voineskos AN, Steffens DC, Nikolova YS, Diniz BS. Neuroimaging features of depression-frailty phenotype in older adults: a pilot study. Int Psychogeriatr 2023; 35:717-723. [PMID: 36803400 PMCID: PMC10439968 DOI: 10.1017/s1041610223000066] [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: 02/22/2023]
Abstract
OBJECTIVE Frailty and late-life depression (LLD) often coexist and share several structural brain changes. We aimed to study the joint effect LLD and frailty have on brain structure. DESIGN Cross-sectional study. SETTING Academic Health Center. PARTICIPANTS Thirty-one participants (14 LLD+Frail and 17 Never-depressed+Robust). MEASUREMENT LLD was diagnosed by a geriatric psychiatrist according to the Diagnostic and Statistical Manual of Mental Disorders 5th edition for single episode or recurrent major depressive disorder without psychotic features. Frailty was assessed using the FRAIL scale (0-5), classifying subjects as robust (0), prefrail (1-2), and frail (3-5). Participants underwent T1-weighted magnetic resonance imaging in which covariance analysis of subcortical volumes and vertex-wise analysis of cortical thickness values were performed to access changes in grey matter. Participants also underwent diffusion tensor imaging in which tract-based spatial statistics was used with voxel-wise statistical analysis on fractional anisotropy and mean diffusion values to assess changes in white matter (WM). RESULTS We found a significant difference in mean diffusion values (48,225 voxels; peak voxel: pFWER=0.005, MINI coord. (X,Y,Z) = -26,-11,27) between the LLD-Frail group and comparison group. The corresponding effect size (f=0.808) was large. CONCLUSION We showed the LLD+Frailty group is associated with significant microstructural changes within WM tracts compared to Never-depressed+Robust individuals. Our findings indicate the possibility of a heightened neuroinflammatory burden as a potential mechanism underlying the co-occurrence of both conditions and the possibility of a depression-frailty phenotype in older adults.
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Affiliation(s)
- Ethan Shuster
- UConn Center on Aging, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Amy E. Miles
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | | | - Navona Calarco
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | | | - Salim Mansour
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Aristotle N. Voineskos
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - David C. Steffens
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Yuliya S. Nikolova
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Breno S. Diniz
- UConn Center on Aging, University of Connecticut School of Medicine, Farmington, CT, USA
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
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11
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Ren S, Zang C, Yuan F, Yan X, Zhang Y, Yuan S, Sun Z, Lang B. Correlation between burst suppression and postoperative delirium in elderly patients: a prospective study. Aging Clin Exp Res 2023; 35:1873-1879. [PMID: 37479909 DOI: 10.1007/s40520-023-02460-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 05/29/2023] [Indexed: 07/23/2023]
Abstract
OBJECTIVE To explore the correlation between intraoperative burst suppression (BS) and postoperative delirium (POD) in elderly patients, and provide more ideas for reducing POD in clinical. METHODS Ninety patients, aged over 60 years, who underwent lumbar internal fixation surgery in our hospital were selected. General information of patients was obtained and informed consent was signed during preoperative visits. Patients were divided into burst suppression (BS) group and non-burst suppression (NBS) group by intraoperative electroencephalogram monitoring. Intraoperative systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), and heart rate (HR) were recorded, and the variation and minimum value were obtained by calculating. Hemoglobin (HGB), C-reactive protein (CRP), system immune inflammatory index (SII) at 24 and 72 h after surgery, the incidence of postoperative adverse reactions, postoperative hospital stay, and total cost were recorded after operation. POD assessment was performed using CAM within 7 days after surgery or until discharge. SPSS25.0 was used for statistical analysis. RESULTS Compared with the NBS group, the number of elderly patients with high frailty level in BS group was more (P = 0.048). There is correlation between BS and POD (OR: 4.954, 95%CI 1.034-23.736, P = 0.045), and most of the POD patients in BS group behave as hyperactive type. CONCLUSION The occurrence of intraoperative BS is associated with POD, and elderly patients with frailty are more likely to have intraoperative BS. BS can be used as a predictor of POD.
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Affiliation(s)
- Shengjie Ren
- School of Anesthesiology, Weifang Medical University, Weifang, 261053, China
- Department of Anesthesiology, Weifang Second People's Hospital, Weifang, 261041, China
| | - Chuanbo Zang
- School of Anesthesiology, Weifang Medical University, Weifang, 261053, China
| | - Fang Yuan
- Department of Anesthesiology, Zibo Central Hospital, Zibo, 255020, China
| | - Xuemei Yan
- Department of Anesthesiology, Weifang People's Hospital, Weifang, 261041, China
| | - Yanan Zhang
- School of Anesthesiology, Weifang Medical University, Weifang, 261053, China
| | - Shu Yuan
- School of Anesthesiology, Weifang Medical University, Weifang, 261053, China
| | - Zenggang Sun
- School of Anesthesiology, Weifang Medical University, Weifang, 261053, China
| | - Bao Lang
- Department of Anesthesiology, Weifang People's Hospital, Weifang, 261041, China.
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12
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Ye Y, Noche RB, Szejko N, Both CP, Acosta JN, Leasure AC, Brown SC, Sheth KN, Gill TM, Zhao H, Falcone GJ. A genome-wide association study of frailty identifies significant genetic correlation with neuropsychiatric, cardiovascular, and inflammation pathways. GeroScience 2023; 45:2511-2523. [PMID: 36928559 PMCID: PMC10651618 DOI: 10.1007/s11357-023-00771-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 03/10/2023] [Indexed: 03/18/2023] Open
Abstract
Frailty is an aging-related clinical phenotype defined as a state in which there is an increase in a person's vulnerability for dependency and/or mortality when exposed to a stressor. While underlying mechanisms leading to the occurrence of frailty are complex, the importance of genetic factors has not been fully investigated. We conducted a large-scale genome-wide association study (GWAS) of frailty, as defined by the five criteria (weight loss, exhaustion, physical activity, walking speed, and grip strength) captured in the Fried Frailty Score (FFS), in 386,565 European descent participants enrolled in the UK Biobank (mean age 57 [SD 8] years, 208,481 [54%] females). We identified 37 independent, novel loci associated with the FFS (p < 5 × 10-8), including seven loci without prior described associations with other traits. The variants associated with FFS were significantly enriched in brain tissues as well as aging-related pathways. Our post-GWAS bioinformatic analyses revealed significant genetic correlations between FFS and cardiovascular-, neurological-, and inflammation-related diseases/traits, and subsequent Mendelian Randomization analyses identified causal associations with chronic pain, obesity, diabetes, education-related traits, joint disorders, and depressive/neurological, metabolic, and respiratory diseases. The GWAS signals were replicated in the Health and Retirement Study (HRS, n = 9,720, mean age 73 [SD 7], 5,582 [57%] females), where the polygenic risk score built from UKB GWAS was significantly associated with the FFS in HRS individuals (OR per SD of the score 1.27, 95% CI 1.22-1.31, p = 1.3 × 10-11). These results provide new insight into the biology of frailty by comprehensively evaluating its genetic architecture.
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Affiliation(s)
- Yixuan Ye
- Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Rommell B Noche
- Department of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1004D, P.O. Box 20801, New Haven, CT, 06510, USA
| | - Natalia Szejko
- Department of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1004D, P.O. Box 20801, New Haven, CT, 06510, USA
- Department of Neurology, Medical University of Warsaw, Warsaw, Poland
- Department of Bioethics, Medical University of Warsaw, Warsaw, Poland
| | - Cameron P Both
- Department of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1004D, P.O. Box 20801, New Haven, CT, 06510, USA
| | - Julian N Acosta
- Department of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1004D, P.O. Box 20801, New Haven, CT, 06510, USA
| | - Audrey C Leasure
- Department of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1004D, P.O. Box 20801, New Haven, CT, 06510, USA
| | - Stacy C Brown
- University of Hawai'I, John A. Burns School of Medicine, Honolulu, HI, USA
| | - Kevin N Sheth
- Department of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1004D, P.O. Box 20801, New Haven, CT, 06510, USA
| | - Thomas M Gill
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Hongyu Zhao
- Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
- Department of Biostatistics, Yale School of Public Health, 60 College Street, P.O. Box 208034, New Haven, CT, 06520, USA.
| | - Guido J Falcone
- Department of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1004D, P.O. Box 20801, New Haven, CT, 06510, USA.
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13
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Fan W, Xiao C, He L, Chen L, Qu H, Yao Q, Li G, Hu J, Zou J, Zeng Q, Huang G. Cerebral Cortex Activation and Gait Performance between Healthy and Prefrail Older Adults during Cognitive and Walking Tasks. Brain Sci 2023; 13:1018. [PMID: 37508950 PMCID: PMC10377719 DOI: 10.3390/brainsci13071018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 06/19/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023] Open
Abstract
Pre-frailty is a transitional stage between health and frailty. Previous studies have demonstrated that individuals with pre-frailty experience declines in cognitive and gait performances compared with healthy individuals. However, the basic neural mechanism underlying this needs to be clarified. In this cross-sectional study, twenty-one healthy older adults and fifteen with pre-frailty underwent three conditions, including a single cognitive task (SC), single walking task (SW), and dual-task (DT), while cortical hemodynamic reactions were measured using functional near-infrared spectroscopy (fNIRS). The prefrail group (PG) showed a significantly lower activation of the left dorsolateral prefrontal cortex (L-DLPFC) than the healthy group (HG) when performing SC (p < 0.05). The PG showed a significantly lower Timed Up and Go test and step speed than the HG during SW (p < 0.05). The coefficient of variation (CV) of the step length of the PG was significantly higher than that of the HG when performing DT (p < 0.05). No significant correlation in cerebral cortex activation and gait parameters in the HG when performing SW and DT was noted (p > 0.05). Participants of the PG with a higher oxygenated area in the left anterior prefrontal cortex (L-APFC) had a lower step frequency during SW (r = -0.533, p = 0.041), and so did the following indicators of the PG during DT: L-APFC and step speed (r = -0.557, p = 0.031); right anterior prefrontal cortex and step speed (r = -0.610, p = 0.016); left motor cortex and step speed (r = -0.674, p = 0.006); step frequency (r = -0.656, p = 0.008); and step length (r = -0.535, p = 0.040). The negative correlations between the cerebral cortex and gait parameters of the PG indicated a neural compensatory effect of pre-frailty. Therefore, older adults with pre-frailty promote prefrontal activation to compensate for the impaired sensorimotor systems.
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Affiliation(s)
- Weichao Fan
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China; (W.F.); (C.X.); (L.H.); (L.C.); (H.Q.); (Q.Y.); (G.L.); (J.H.)
- School of Nursing, Southern Medical University, Guangzhou 510280, China
| | - Chongwu Xiao
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China; (W.F.); (C.X.); (L.H.); (L.C.); (H.Q.); (Q.Y.); (G.L.); (J.H.)
| | - Longlong He
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China; (W.F.); (C.X.); (L.H.); (L.C.); (H.Q.); (Q.Y.); (G.L.); (J.H.)
| | - Ling Chen
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China; (W.F.); (C.X.); (L.H.); (L.C.); (H.Q.); (Q.Y.); (G.L.); (J.H.)
| | - Hang Qu
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China; (W.F.); (C.X.); (L.H.); (L.C.); (H.Q.); (Q.Y.); (G.L.); (J.H.)
| | - Qiuru Yao
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China; (W.F.); (C.X.); (L.H.); (L.C.); (H.Q.); (Q.Y.); (G.L.); (J.H.)
- School of Nursing, Southern Medical University, Guangzhou 510280, China
| | - Gege Li
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China; (W.F.); (C.X.); (L.H.); (L.C.); (H.Q.); (Q.Y.); (G.L.); (J.H.)
| | - Jinjing Hu
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China; (W.F.); (C.X.); (L.H.); (L.C.); (H.Q.); (Q.Y.); (G.L.); (J.H.)
| | - Jihua Zou
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China; (W.F.); (C.X.); (L.H.); (L.C.); (H.Q.); (Q.Y.); (G.L.); (J.H.)
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou 510280, China
- Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong 999077, China
| | - Qing Zeng
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China; (W.F.); (C.X.); (L.H.); (L.C.); (H.Q.); (Q.Y.); (G.L.); (J.H.)
| | - Guozhi Huang
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China; (W.F.); (C.X.); (L.H.); (L.C.); (H.Q.); (Q.Y.); (G.L.); (J.H.)
- School of Nursing, Southern Medical University, Guangzhou 510280, China
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou 510280, China
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14
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Jiang R, Noble S, Sui J, Yoo K, Rosenblatt M, Horien C, Qi S, Liang Q, Sun H, Calhoun VD, Scheinost D. Associations of physical frailty with health outcomes and brain structure in 483 033 middle-aged and older adults: a population-based study from the UK Biobank. Lancet Digit Health 2023; 5:e350-e359. [PMID: 37061351 PMCID: PMC10257912 DOI: 10.1016/s2589-7500(23)00043-2] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 02/12/2023] [Accepted: 02/16/2023] [Indexed: 04/17/2023]
Abstract
BACKGROUND Physical frailty is a state of increased vulnerability to stressors and is associated with serious health issues. However, how frailty affects and is affected by numerous other factors, including mental health and brain structure, remains underexplored. We aimed to investigate the mutual effects of frailty and health using large, multidimensional data. METHODS For this population-based study, we used data from the UK Biobank to examine the pattern and direction of association between physical frailty and 325 health-related measures across multiple domains, using linear mixed-effect models and adjusting for numerous confounders. Participants were included if complete data were available for all five indicators of frailty, all covariates, and at least one health measure. We further examined the association between frailty and brain structure and the role of this association in mediating the relationship between frailty and health outcomes. FINDINGS 483 033 participants aged 38-73 years were included in the study at baseline (between Dec 19, 2006, and Oct 1, 2010); at a median follow-up of 9 years (IQR 8-10), behavioural data were available for 46 501 participants and neuroimaging data for 40 210 participants. The severity of physical frailty was significantly associated with decreased cognitive performance (Cohen's d=0·025-0·162), increased early-life risks (d=0·026-0·111), unhealthy lifestyle (d=0·013-0·394), poor physical fitness (d=0·007-0·668), increased symptoms of poor mental health (d=0·032-0·607), severe environmental pollution (d=0·013-0·064), and adverse biochemical markers (d=0·025-0·198). Some associations were bidirectional, with the strongest effects on mental health measures. The severity of frailty correlated with increased total white matter hyperintensity and lower grey matter volume, particularly in subcortical regions (d=0·027-0·082), which significantly mediated the association between frailty and health-related outcomes, although the mediated effects were small. INTERPRETATION Physical frailty is associated with diverse unfavourable health-related outcomes, which can be mediated by differences in brain structure. Our findings offer a framework for guiding preventative strategies targeting both frailty and psychiatric disorders. FUNDING National Institute of Mental Health, National Science Foundation.
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Affiliation(s)
- Rongtao Jiang
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
| | - Stephanie Noble
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
| | - Jing Sui
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Kwangsun Yoo
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Matthew Rosenblatt
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Corey Horien
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA
| | - Shile Qi
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - Qinghao Liang
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Huili Sun
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - Dustin Scheinost
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA; Child Study Center, Yale School of Medicine, New Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA; Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA; Department of Statistics and Data Science, Yale University, New Haven, CT, USA
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15
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Bucci M, Iozzo P, Merisaari H, Huovinen V, Lipponen H, Räikkönen K, Parkkola R, Salonen M, Sandboge S, Eriksson JG, Nummenmaa L, Nuutila P. Resistance Training Increases White Matter Density in Frail Elderly Women. J Clin Med 2023; 12:jcm12072684. [PMID: 37048767 PMCID: PMC10094827 DOI: 10.3390/jcm12072684] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/23/2023] [Accepted: 04/01/2023] [Indexed: 04/07/2023] Open
Abstract
We aimed to investigate the effects of maternal obesity on brain structure and metabolism in frail women, and their reversibility in response to exercise. We recruited 37 frail elderly women (20 offspring of lean/normal-weight mothers (OLM) and 17 offspring of obese/overweight mothers (OOM)) and nine non-frail controls to undergo magnetic resonance and diffusion tensor imaging (DTI), positron emission tomography with Fluorine-18-fluorodeoxyglucose (PET), and cognitive function tests (CERAD). Frail women were studied before and after a 4-month resistance training, and controls were studied once. White matter (WM) density (voxel-based morphometry) was higher in OLM than in OOM subjects. Exercise increased WM density in both OLM and OOM in the cerebellum in superior parietal regions in OLM and in cuneal and precuneal regions in OOM. OLM gained more WM density than OOM in response to intervention. No significant results were found from the Freesurfer analysis, nor from PET or DTI images. Exercise has an impact on brain morphology and cognition in elderly frail women.
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Affiliation(s)
- Marco Bucci
- Turku PET Centre, University of Turku, 20520 Turku, Finland
- Theme Inflammation and Aging, Karolinska University Hospital, 141 86 Huddinge, Sweden
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska University, 171 77 Stockholm, Sweden
| | - Patricia Iozzo
- Institute of Clinical Physiology, National Research Council, 56124 Pisa, Italy
| | - Harri Merisaari
- Department of Radiology, Turku University Hospital, University of Turku, 20014 Turku, Finland
- Turku Brain and Mind Center, University of Turku, 20014 Turku, Finland
| | - Ville Huovinen
- Turku PET Centre, University of Turku, 20520 Turku, Finland
- Department of Radiology, Turku University Hospital, University of Turku, 20014 Turku, Finland
| | - Heta Lipponen
- Turku PET Centre, University of Turku, 20520 Turku, Finland
| | - Katri Räikkönen
- Department of Psychology and Logopedics, University of Helsinki, 00014 Helsinki, Finland
| | - Riitta Parkkola
- Department of Radiology, Turku University Hospital, University of Turku, 20014 Turku, Finland
| | | | - Samuel Sandboge
- Finnish Institute for Health and Welfare, 00271 Helsinki, Finland
- Psychology/Welfare Sciences, Faculty of Social Sciences, University of Tampere, 33014 Tampere, Finland
| | - Johan Gunnar Eriksson
- Folkhälsan Research Centre, 00250 Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki University Hospital, 00290 Helsinki, Finland
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore 138632, Singapore
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
| | | | - Pirjo Nuutila
- Turku PET Centre, University of Turku, 20520 Turku, Finland
- Department of Endocrinology, Turku University Hospital, 20520 Turku, Finland
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16
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Taylor JA, Greenhaff PL, Bartlett DB, Jackson TA, Duggal NA, Lord JM. Multisystem physiological perspective of human frailty and its modulation by physical activity. Physiol Rev 2023; 103:1137-1191. [PMID: 36239451 PMCID: PMC9886361 DOI: 10.1152/physrev.00037.2021] [Citation(s) in RCA: 63] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
"Frailty" is a term used to refer to a state characterized by enhanced vulnerability to, and impaired recovery from, stressors compared with a nonfrail state, which is increasingly viewed as a loss of resilience. With increasing life expectancy and the associated rise in years spent with physical frailty, there is a need to understand the clinical and physiological features of frailty and the factors driving it. We describe the clinical definitions of age-related frailty and their limitations in allowing us to understand the pathogenesis of this prevalent condition. Given that age-related frailty manifests in the form of functional declines such as poor balance, falls, and immobility, as an alternative we view frailty from a physiological viewpoint and describe what is known of the organ-based components of frailty, including adiposity, the brain, and neuromuscular, skeletal muscle, immune, and cardiovascular systems, as individual systems and as components in multisystem dysregulation. By doing so we aim to highlight current understanding of the physiological phenotype of frailty and reveal key knowledge gaps and potential mechanistic drivers of the trajectory to frailty. We also review the studies in humans that have intervened with exercise to reduce frailty. We conclude that more longitudinal and interventional clinical studies are required in older adults. Such observational studies should interrogate the progression from a nonfrail to a frail state, assessing individual elements of frailty to produce a deep physiological phenotype of the syndrome. The findings will identify mechanistic drivers of frailty and allow targeted interventions to diminish frailty progression.
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Affiliation(s)
- Joseph A Taylor
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, School of Life Sciences, University of Nottingham, Queen's Medical Centre, Nottingham, United Kingdom
| | - Paul L Greenhaff
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, School of Life Sciences, University of Nottingham, Queen's Medical Centre, Nottingham, United Kingdom.,NIHR Nottingham Biomedical Research Centre, University of Nottingham, Queen's Medical Centre, Nottingham, United Kingdom
| | - David B Bartlett
- Division of Medical Oncology, Department of Medicine, Duke University, Durham, North Carolina.,Department of Nutritional Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
| | - Thomas A Jackson
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, https://ror.org/03angcq70University of Birmingham, Birmingham, United Kingdom
| | - Niharika A Duggal
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, https://ror.org/03angcq70University of Birmingham, Birmingham, United Kingdom
| | - Janet M Lord
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, https://ror.org/03angcq70University of Birmingham, Birmingham, United Kingdom.,NIHR Birmingham Biomedical Research Centre, University Hospital Birmingham and University of Birmingham, Birmingham, United Kingdom
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17
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Lauksio I, Wallenius L, Lindström I, Kärkkäinen JM, Khan N, Hernesniemi J, Protto S, Oksala NKJ. Multivariable Analysis of Pre-operative Brain Atrophy as a Predictor of Long Term Mortality After Carotid Endarterectomy. Eur J Vasc Endovasc Surg 2023; 65:339-345. [PMID: 36209966 DOI: 10.1016/j.ejvs.2022.10.001] [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: 10/13/2021] [Revised: 09/04/2022] [Accepted: 10/02/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Brain atrophy is associated with an increased mortality rate in elderly trauma patients and in patients treated with mechanical thrombectomy for acute ischaemic stroke. In the setting of ischaemic stroke, the association between brain atrophy and death is stronger than that of sarcopenia. It has previously been shown that lower masseter area, as a marker of sarcopenia, is linked to lower survival after carotid endarterectomy (CEA). The aim of this study was to investigate whether brain atrophy is also associated with long term mortality in patients undergoing CEA. METHODS A cohort of patients treated with CEA between 2004 and 2010 was retrieved from the Tampere University Hospital vascular registry and those with available pre-operative computed tomography (CT) imaging were analysed retrospectively. CT images were evaluated for brain atrophy index (BAI) and masseter muscle surface area and density. The association between BAI and mortality was investigated with Cox regression. RESULTS Two hundred and thirty-three patients with a median (interquartile range [IQR]) age of 71 years (64.0, 77.0) were included. Most patients were operated on for symptomatic stenosis (n = 203; 87.1%). The median (IQR) duration of follow up was 115.0 months (66.0, 153.0), and 155 patients (66.5%) died during follow up. BAI was statistically significantly correlated with age (r = .489), average masseter density (r = -.202), and smoking (r = -.186; all p <.005). Increased BAI was statistically significantly associated with overall mortality (hazard ratio [HR] 1.45, 95% confidence interval [CI] 1.25 - 1.68, per one standard deviation [SD] increase) in the univariable analysis, and the association remained (HR 1.23, 95% CI 1.04 - 1.46, per one SD increase) in the multivariable models. Age, peripheral artery disease, and chronic obstructive pulmonary disease were also independently associated with mortality. The optimal cutoff value for BAI was 0.133. CONCLUSION Brain atrophy independently predicts the long term post-operative mortality rate after CEA in a cohort containing mainly symptomatic patients. Future studies are needed to validate the results in prospective settings and in asymptomatic patients.
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Affiliation(s)
- Iisa Lauksio
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
| | - Linda Wallenius
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Iisa Lindström
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | | | - Niina Khan
- Vascular Centre, Tampere University Hospital, Tampere, Finland
| | - Jussi Hernesniemi
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Department of Cardiology, Tampere University Hospital, Heart Hospital, Tampere, Finland; Finnish Cardiovascular Research Center, Tampere, Finland
| | - Sara Protto
- Vascular Centre, Tampere University Hospital, Tampere, Finland
| | - Niku K J Oksala
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Vascular Centre, Tampere University Hospital, Tampere, Finland; Finnish Cardiovascular Research Center, Tampere, Finland
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18
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Kant IMJ, de Bresser J, van Montfort SJT, Witkamp TD, Walraad B, Spies CD, Hendrikse J, van Dellen E, Slooter AJC. Postoperative delirium is associated with grey matter brain volume loss. Brain Commun 2023; 5:fcad013. [PMID: 36819940 PMCID: PMC9933897 DOI: 10.1093/braincomms/fcad013] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 08/12/2022] [Accepted: 01/26/2023] [Indexed: 02/03/2023] Open
Abstract
Delirium is associated with long-term cognitive dysfunction and with increased brain atrophy. However, it is unclear whether these problems result from or predisposes to delirium. We aimed to investigate preoperative to postoperative brain changes, as well as the role of delirium in these changes over time. We investigated the effects of surgery and postoperative delirium with brain MRIs made before and 3 months after major elective surgery in 299 elderly patients, and an MRI with a 3 months follow-up MRI in 48 non-surgical control participants. To study the effects of surgery and delirium, we compared brain volumes, white matter hyperintensities and brain infarcts between baseline and follow-up MRIs, using multiple regression analyses adjusting for possible confounders. Within the patients group, 37 persons (12%) developed postoperative delirium. Surgical patients showed a greater decrease in grey matter volume than non-surgical control participants [linear regression: B (95% confidence interval) = -0.65% of intracranial volume (-1.01 to -0.29, P < 0.005)]. Within the surgery group, delirium was associated with a greater decrease in grey matter volume [B (95% confidence interval): -0.44% of intracranial volume (-0.82 to -0.06, P = 0.02)]. Furthermore, within the patients, delirium was associated with a non-significantly increased risk of a new postoperative brain infarct [logistic regression: odds ratio (95% confidence interval): 2.8 (0.7-11.1), P = 0.14]. Our study was the first to investigate the association between delirium and preoperative to postoperative brain volume changes, suggesting that delirium is associated with increased progression of grey matter volume loss.
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Affiliation(s)
- Ilse M J Kant
- Department of Intensive Care Medicine and University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht 3584 CX, The Netherlands
- Department of Information Technology and Digital Innovation, Leiden University Medical Center, Leiden 2333 ZA, The Netherlands
| | - Jeroen de Bresser
- Department of Radiology, Leiden University Medical Center, Leiden 2333 ZA, The Netherlands
| | - Simone J T van Montfort
- Department of Intensive Care Medicine and University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht 3584 CX, The Netherlands
| | - Theodoor D Witkamp
- Department of Radiology and University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht 3584 CX, The Netherlands
| | - Bob Walraad
- Department of Intensive Care Medicine and University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht 3584 CX, The Netherlands
| | - Claudia D Spies
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité – Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Jeroen Hendrikse
- Department of Radiology and University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht 3584 CX, The Netherlands
| | - Edwin van Dellen
- Department of Intensive Care Medicine and University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht 3584 CX, The Netherlands
- Department of Psychiatry and University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht 3584 CX, The Netherlands
| | - Arjen J C Slooter
- Department of Intensive Care Medicine and University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht 3584 CX, The Netherlands
- Department of Psychiatry and University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht 3584 CX, The Netherlands
- Department of Neurology, UZ Brussel and Vrije Universiteit Brussel, Jette 1090, Belgium
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19
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Gutiérrez-Zúñiga R, Davis JRC, Ruddy K, De Looze C, Carey D, Meaney J, Kenny RA, Knight SP, Romero-Ortuno R. Structural brain signatures of frailty, defined as accumulation of self-reported health deficits in older adults. Front Aging Neurosci 2023; 15:1065191. [PMID: 36743441 PMCID: PMC9892944 DOI: 10.3389/fnagi.2023.1065191] [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: 10/09/2022] [Accepted: 01/03/2023] [Indexed: 01/20/2023] Open
Abstract
Background Frailty in older adults has been associated with reduced brain health. However, structural brain signatures of frailty remain understudied. Our aims were: (1) Explore associations between a frailty index (FI) and brain structure on magnetic resonance imaging (MRI). (2) Identify the most important FI features driving the associations. Methods We designed a cross-sectional observational study from a population-based study (The Irish Longitudinal Study on Aging: TILDA). Participants aged ≥50 years who underwent the wave 3 MRI sub-study were included. We measured cortex, basal ganglia, and each of the Desikan-Killiany regional volumes. Age-and sex-adjusted correlations were performed with a 32-item self-reported FI that included conditions commonly tested for frailty in research and clinical settings. A graph theory analysis of the network composed by each FI item and cortex volume was performed. White matter fiber integrity was quantified using diffusion tensor imaging (DTI). Results In 523 participants (mean age 69, 49% men), lower cortex and thalamic volumes were independently associated with higher FI. Sensory and functional difficulties, diabetes, polypharmacy, knee pain, and self-reported health were the main FI associations with cortex volume. In the network analysis, cortex volume had a modest influence within the frailty network. Regionally, higher FI was significantly associated with lower volumes in both orbitofrontal and temporal cortices. DTI analyses revealed inverse associations between the FI and the integrity of some association bundles. Conclusion The FI used had a recognizable but subtle structural brain signature in this sample. Only some FI deficits were directly associated with cortex volume, suggesting scope for developing FIs that include metrics more specifically related with brain health in future aging neuroscience studies.
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Affiliation(s)
| | - James R. C. Davis
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin, Ireland
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Kathy Ruddy
- Trinity College Institute of Neurosciences, Trinity College Dublin, Dublin, Ireland
| | - Céline De Looze
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin, Ireland
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Daniel Carey
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin, Ireland
| | - James Meaney
- St. James’s Hospital, Mercer’s Institute for Successful Ageing, Dublin, Ireland
| | - Rose Anne Kenny
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin, Ireland
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
- St. James’s Hospital, Mercer’s Institute for Successful Ageing, Dublin, Ireland
| | - Silvin Paul Knight
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin, Ireland
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Roman Romero-Ortuno
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin, Ireland
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
- St. James’s Hospital, Mercer’s Institute for Successful Ageing, Dublin, Ireland
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20
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Sallustio F, Mascolo AP, Marrama F, D'Agostino F, Proietti M, Greco L, Di Giuliano F, Alemseged F, Gandini R, Martorana A, Diomedi M, Koch G. Temporal lobe atrophy as a potential predictor of functional outcome in older adults with acute ischemic stroke. Acta Neurol Belg 2023:10.1007/s13760-022-02167-w. [PMID: 36637792 DOI: 10.1007/s13760-022-02167-w] [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: 08/19/2022] [Accepted: 12/15/2022] [Indexed: 01/14/2023]
Abstract
BACKGROUND To explore whether temporal lobe atrophy predicts 3-month functional outcome in a population of patients with anterior circulation acute ischemic stroke (AIS) treated with mechanical thrombectomy (MT). METHODS We retrospectively selected patients > 65 years from our prospective endovascular stroke registry between June 2013 and August 2018. According to 3-month modified Rankin Scale (mRS), patients were divided in two groups, named good (mRS ≤ 2) and poor (mRS > 2) outcome. Measures of temporal lobe atrophy (i.e., interuncal distance [IUD], medial temporal lobe thickness [mTLT] and radial width of temporal horn [rWTH]) were assessed on pre-treatment CT scan. Cutoff values for good outcome were obtained for IUD, mTLT and rWTH by means of non-parametric ROC curve analysis. Multivariate analysis was performed to identify predictors of outcome. Ordinal shift analysis based on cutoff values was built to evaluate differences in 3-month mRS. RESULTS Among 340 patients, 130 (38.2%) had good and 210 (61.8%) had poor outcome. We found the following cutoff values for good outcome: < 25 mm for IUD, > 15 mm for mTLT and < 4 mm for rWTH. Lower IUD (OR 0.71; 95% CI 0.63-0.80; p < 0.0001) and rWTH (OR 0.73; 95% CI 0.61-0.87; p < 0.0001) and higher mTLT (OR 1.30; 95% CI 1.14-1.49; p < 0.0001) were independently associated with good outcome. Ordinal shift analysis based on cutoff values revealed significant differences in the rate of good outcome for rWTH (49 vs 27%; p < 0.0001), mTLT (52 vs 21%; p < 0.0001) and IUD (57 vs 17%; p < 0.0001). CONCLUSIONS Assessment of temporal lobe atrophy may predict functional outcome in patients with AIS treated with MT.
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Affiliation(s)
- Fabrizio Sallustio
- Comprehensive Stroke Center, Department of Systems Medicine, University of Tor Vergata, Viale Oxford 81, 00133, Rome, Italy. .,Department of Clinical and Behavioural Neurology, Santa Lucia Foundation IRCCS, 0039, Rome, Italy.
| | - Alfredo Paolo Mascolo
- Comprehensive Stroke Center, Department of Systems Medicine, University of Tor Vergata, Viale Oxford 81, 00133, Rome, Italy
| | - Federico Marrama
- Comprehensive Stroke Center, Department of Systems Medicine, University of Tor Vergata, Viale Oxford 81, 00133, Rome, Italy
| | - Federica D'Agostino
- Comprehensive Stroke Center, Department of Systems Medicine, University of Tor Vergata, Viale Oxford 81, 00133, Rome, Italy
| | - Marco Proietti
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.,Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Laura Greco
- Diagnostic Neuroradiology Unit, Department of Biomedicine and Prevention, University of Tor Vergata, Rome, Italy
| | - Francesca Di Giuliano
- Diagnostic Neuroradiology Unit, Department of Biomedicine and Prevention, University of Tor Vergata, Rome, Italy
| | - Fana Alemseged
- Comprehensive Stroke Center, Department of Systems Medicine, University of Tor Vergata, Viale Oxford 81, 00133, Rome, Italy.,Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - Roberto Gandini
- Diagnostic Neuroradiology Unit, Department of Biomedicine and Prevention, University of Tor Vergata, Rome, Italy
| | - Alessandro Martorana
- Comprehensive Stroke Center, Department of Systems Medicine, University of Tor Vergata, Viale Oxford 81, 00133, Rome, Italy
| | - Marina Diomedi
- Comprehensive Stroke Center, Department of Systems Medicine, University of Tor Vergata, Viale Oxford 81, 00133, Rome, Italy
| | - Giacomo Koch
- Department of Clinical and Behavioural Neurology, Santa Lucia Foundation IRCCS, 0039, Rome, Italy.,Department of Psychology, eCampus University, Novedrate, Italy
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21
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Ward DD, Martin J, Gordon EH. Is There a Sex-Frailty Paradox in Dementia? J Nutr Health Aging 2023; 27:1281-1283. [PMID: 38151880 DOI: 10.1007/s12603-023-2040-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 11/11/2023] [Indexed: 12/29/2023]
Affiliation(s)
- D D Ward
- David D. Ward, Centre for Health Services Research, The University of Queensland, Level 2, Building 33, Princess Alexandra Hospital, 199 Ipswich Road, Woolloongabba, QLD 4121, Australia.
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22
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Analysis of the Effects of Ninjin’yoeito on Physical Frailty in Mice. Int J Mol Sci 2022; 23:ijms231911183. [PMID: 36232484 PMCID: PMC9569708 DOI: 10.3390/ijms231911183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 09/08/2022] [Accepted: 09/20/2022] [Indexed: 11/16/2022] Open
Abstract
Physical frailty is an aging-related clinical syndrome involving decreases in body weight, mobility, activity, and walking speed that occurs in individuals with sarcopenia and is accelerated by increased oxidative stress. Ninjin’yoeito, a traditional Japanese Kampo medicine, is used for treating conditions, including anemia and physical weakness. Here, we investigated whether ninjin’yoeito could improve physical frailty by controlling oxidative stress in the senescence-accelerated mouse prone 8 (SAMP8) model. First, SAMP8 mice were divided into two groups, ninjin’yoeito treated and untreated, with the former consuming a diet containing 3% ninjin’yoeito from 3 months of age. At 7 months of age, body weight, motor function, locomotor activity, and mean walking speed were measured. Subsequently, mice were euthanized and measured for muscle weight, 8-hydroxy-2′-deoxyguanosine levels in muscle and brain, and cleaved caspase-3 expression in brain. The results showed reductions in weight, locomotor function, locomotion, and average walking speed in the untreated group, which were significantly improved by ninjin’yoeito. Furthermore, 8-hydroxy-2′-deoxyguanosine levels were reduced in muscle and brain from ninjin’yoeito-treated mice, compared with the levels in untreated mice; cleaved caspase-3 expression was similarly reduced in brain from the treated mice, indicating reduced apoptosis. Our findings suggest that ninjin’yoeito inhibits sarcopenia-based physical frailty through its antioxidant effects.
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23
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Jiang R, Westwater ML, Noble S, Rosenblatt M, Dai W, Qi S, Sui J, Calhoun VD, Scheinost D. Associations between grip strength, brain structure, and mental health in > 40,000 participants from the UK Biobank. BMC Med 2022; 20:286. [PMID: 36076200 PMCID: PMC9461129 DOI: 10.1186/s12916-022-02490-2] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/20/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Grip strength is a widely used and well-validated measure of overall health that is increasingly understood to index risk for psychiatric illness and neurodegeneration in older adults. However, existing work has not examined how grip strength relates to a comprehensive set of mental health outcomes, which can detect early signs of cognitive decline. Furthermore, whether brain structure mediates associations between grip strength and cognition remains unknown. METHODS Based on cross-sectional and longitudinal data from over 40,000 participants in the UK Biobank, this study investigated the behavioral and neural correlates of handgrip strength using a linear mixed effect model and mediation analysis. RESULTS In cross-sectional analysis, we found that greater grip strength was associated with better cognitive functioning, higher life satisfaction, greater subjective well-being, and reduced depression and anxiety symptoms while controlling for numerous demographic, anthropometric, and socioeconomic confounders. Further, grip strength of females showed stronger associations with most behavioral outcomes than males. In longitudinal analysis, baseline grip strength was related to cognitive performance at ~9 years follow-up, while the reverse effect was much weaker. Further, baseline neuroticism, health, and financial satisfaction were longitudinally associated with subsequent grip strength. The results revealed widespread associations between stronger grip strength and increased grey matter volume, especially in subcortical regions and temporal cortices. Moreover, grey matter volume of these regions also correlated with better mental health and considerably mediated their relationship with grip strength. CONCLUSIONS Overall, using the largest population-scale neuroimaging dataset currently available, our findings provide the most well-powered characterization of interplay between grip strength, mental health, and brain structure, which may facilitate the discovery of possible interventions to mitigate cognitive decline during aging.
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Affiliation(s)
- Rongtao Jiang
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06510, USA.
| | - Margaret L Westwater
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Stephanie Noble
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Matthew Rosenblatt
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
| | - Wei Dai
- Department of Biostatistics, Yale University, New Haven, CT, 06520, USA
| | - Shile Qi
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA
| | - Jing Sui
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA
| | - Dustin Scheinost
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06510, USA.
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, 06520, USA.
- Department of Statistics & Data Science, Yale University, New Haven, CT, 06520, USA.
- Child Study Center, Yale School of Medicine, New Haven, CT, 06510, USA.
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24
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Noguchi-Shinohara M, Ono K, Yuki-Nozaki S, Iwasa K, Yokogawa M, Komai K, Thyreau B, Tatewaki Y, Taki Y, Shibata M, Ohara T, Hata J, Ninomiya T, Yamada M. Association of the prefrailty with global brain atrophy and white matter lesions among cognitively unimpaired older adults: the Nakajima study. Sci Rep 2022; 12:12129. [PMID: 35915130 PMCID: PMC9343640 DOI: 10.1038/s41598-022-16190-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 07/06/2022] [Indexed: 11/24/2022] Open
Abstract
Physical frailty has been associated with adverse outcomes such as dementia. However, the underlying structural brain abnormalities of physical frailty are unclear. We investigated the relationship between physical frailty and structural brain abnormalities in 670 cognitively unimpaired individuals (mean age 70.1 years). Total brain volume (TBV), hippocampal volume (HV), total white matter hypointensities volume (WMHV), and estimated total intracranial volume (eTIV) on the 3D T1-weighted images were automatically computed using FreeSurfer software. Participants were divided into two states of physical frailty (robust vs. prefrail) based on the revised Japanese version of the Cardiovascular Health Study criteria. The multivariable-adjusted mean values of the TBV-to-eTIV ratio was significantly decreased, whereas that of the WMHV-to-eTIV ratio was significantly increased in the prefrail group compared with the robust group. Slowness, one of the components of physical frailty, was significantly associated with reduced TBV-to-eTIV and HV-to-eTIV ratios, and slowness and weakness were significantly associated with an increased WMHV-to-eTIV ratio. Our results suggest that the prefrail state is significantly associated with global brain atrophy and white matter hypointensities. Furthermore, slowness was significantly associated with hippocampal atrophy.
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Affiliation(s)
- Moeko Noguchi-Shinohara
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan. .,Department of Preemptive Medicine for Dementia, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan.
| | - Kenjiro Ono
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan.
| | - Sohshi Yuki-Nozaki
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Kazuo Iwasa
- Department of Health and Medical Sciences, Ishikawa Prefectural Nursing University, Kahoku, Japan
| | - Masami Yokogawa
- Division of Health Sciences, Department of Physical Therapy, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Kiyonobu Komai
- Department of Neurology, Hokuriku Brain and Neuromuscular Disease Center, National Hospital Organization Iou National Hospital, Kanazawa, Japan
| | - Benjamin Thyreau
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Smart-Aging Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuko Tatewaki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai, Japan
| | - Yasuyuki Taki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Smart-Aging Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai, Japan
| | - Mao Shibata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tomoyuki Ohara
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyusyu University, Fukuoka, Japan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Masahito Yamada
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan.,Kudanzaka Hospital, Tokyo, Japan
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25
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Siejka TP, Srikanth VK, Hubbard RE, Moran C, Beare R, Wood AG, Collyer TA, Gujjari S, Phan TG, Callisaya ML. Frailty is associated with cognitive decline independent of cerebral small vessel disease and brain atrophy. J Gerontol A Biol Sci Med Sci 2022; 77:1819-1826. [PMID: 35363862 PMCID: PMC9434440 DOI: 10.1093/gerona/glac078] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Indexed: 11/16/2022] Open
Abstract
Background To examine the effect of frailty on cognitive decline independent of cerebral small vessel disease (cSVD) and brain atrophy, and whether associations between neuropathology and cognition differed depending on frailty status. Methods The Tasmanian Study of Cognition and Gait was a population-based longitudinal cohort study with data collected at 3 phases from 2005 to 2012. Participants aged 60–85 were randomly selected from the electoral roll. Various data were used to operationalize a 36-item frailty index (FI) at baseline. Brain MRI was undertaken to obtain baseline measures of neuropathology. A neuropsychological battery was used to assess cognition at each time point. Generalized linear mixed models were used to examine the effect of frailty and MRI measures on cognition over time. The associations between MRI measures and cognition were explored after stratifying the sample by baseline frailty status. All analyses were adjusted for age, sex, and education. Results A total of 385 participants were included at baseline. The mean age was 72.5 years (standard deviation [SD] 7.0), 44% were female (n = 171). In fully adjusted linear mixed models, frailty (FI × time β −0.001, 95% confidence interval [CI] −0.003, −0.001, p = .03) was associated with decline in global cognition, independent of brain atrophy, and cSVD. The association between cSVD and global cognition was significant only in those with low levels of frailty (p = .03). Conclusion These findings suggest that frailty is an important factor in early cognitive dysfunction, and measuring frailty may prove useful to help identify future risk of cognitive decline.
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Affiliation(s)
| | - Velandai K Srikanth
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Victoria, Australia.,Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Ruth E Hubbard
- Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Chris Moran
- Alfred Health, Melbourne, Victoria, Australia.,Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Richard Beare
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Victoria, Australia.,Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Amanda G Wood
- Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.,School of Life and Health Sciences & Aston Brain Centre, Aston University, United Kingdom.,School of Psychology, Faculty of Health, Melbourne Burwood Campus, Deakin University, Geelong, Victoria, Australia
| | - Taya A Collyer
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | | | - Thanh G Phan
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Victoria, Australia.,Monash Health, Melbourne, Victoria, Australia
| | - Michele L Callisaya
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Victoria, Australia.,Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
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26
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Zhao J, Qu W, Zhou X, Guo Y, Zhang Y, Wu L, Yu Z, Huang H, Luo X. Sleep Quality Mediates the Association Between Cerebral Small Vessel Disease Burden and Frailty: A Community-Based Study. Front Aging Neurosci 2021; 13:751369. [PMID: 34744691 PMCID: PMC8564177 DOI: 10.3389/fnagi.2021.751369] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 09/30/2021] [Indexed: 02/03/2023] Open
Abstract
Background: Physical frailty is a common problem among older adults which usually leads to adverse health outcomes. The imaging markers of cerebral small vessel disease (CSVD) are associated with frailty, but the underlying mechanisms remain unclear. The present study aimed to investigate the mediating role of sleep quality in the relationship between CSVD burden and frailty. Methods: We performed a cross-sectional study and enrolled community residents. Frailty and sleep quality were measured using the Fried frailty phenotype and the Pittsburgh Sleep Quality Index (PSQI), respectively. A multivariate linear regression analysis and a Bootstrap analysis were performed to examine the association among the key variables and the mediating role of sleep quality. Results: Of the 726 participants (mean age: 65.5 ± 6.5 years, 59.8% female), the numbers (percentages) of the frail, prefrail, and robust residents were 49 (6.7%), 310 (42.7%), and 367 (50.6%), respectively. After adjusting for covariates, the CSVD burden and PSQI score were significantly associated with the frailty score. In addition, sleep quality played a partial mediating role in the association between CSVD burden and physical frailty. The mediating effect was 21.9%. Conclusion: The present study suggests that sleep quality is a mediator of this association between CSVD and frailty in community-dwelling older adults. Improving sleep quality might be helpful to mitigate the risk of frailty in CSVD patients.
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Affiliation(s)
- Jing Zhao
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wensheng Qu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xirui Zhou
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yinping Guo
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Zhang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lingshan Wu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhiyuan Yu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hao Huang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiang Luo
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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27
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Inglese F, Jaarsma-Coes MG, Steup-Beekman GM, Monahan R, Huizinga T, van Buchem MA, Ronen I, de Bresser J. Neuropsychiatric systemic lupus erythematosus is associated with a distinct type and shape of cerebral white matter hyperintensities. Rheumatology (Oxford) 2021; 61:2663-2671. [PMID: 34730801 PMCID: PMC9157072 DOI: 10.1093/rheumatology/keab823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 10/27/2021] [Indexed: 11/18/2022] Open
Abstract
Objectives Advanced white matter hyperintensity (WMH) markers on brain MRI may help reveal underlying mechanisms and aid in the diagnosis of different phenotypes of SLE patients experiencing neuropsychiatric (NP) manifestations. Methods In this prospective cohort study, we included a clinically well-defined cohort of 155 patients consisting of 38 patients with NPSLE (26 inflammatory and 12 ischaemic phenotype) and 117 non-NPSLE patients. Differences in 3 T MRI WMH markers (volume, type and shape) were compared between patients with NPSLE and non-NPSLE and between patients with inflammatory and ischaemic NPSLE by linear and logistic regression analyses corrected for age, sex and intracranial volume. Results Compared with non-NPSLE [92% female; mean age 42 (13) years], patients with NPSLE [87% female; mean age 40 (14) years] showed a higher total WMH volume [B (95%-CI)]: 0.46 (0.0 7 ↔ 0.86); P = 0.021], a higher periventricular/confluent WMH volume [0.46 (0.0 6 ↔ 0.86); P = 0.024], a higher occurrence of periventricular with deep WMH type [0.32 (0.1 3 ↔ 0.77); P = 0.011], a higher number of deep WMH lesions [3.06 (1.2 1 ↔ 4.90); P = 0.001] and a more complex WMH shape [convexity: ‒0.07 (‒0.12 ↔ ‒0.02); P = 0.011, concavity index: 0.05 (0.0 1 ↔ 0.08); P = 0.007]. WMH shape was more complex in inflammatory NPSLE patients [89% female; mean age 39 (15) years] compared with patients with the ischaemic phenotype [83% female; mean age 41 (11) years] [concavity index: 0.08 (0.0 1 ↔ 0.15); P = 0.034]. Conclusion We demonstrated that patients with NPSLE showed a higher periventricular/confluent WMH volume and more complex shape of WMH compared with non-NPSLE patients. This finding was particularly significant in inflammatory NPLSE patients, suggesting different or more severe underlying pathophysiological abnormalities.
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Affiliation(s)
- Francesca Inglese
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Gerda M Steup-Beekman
- Department of Rheumatology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Rheumatology, Haaglanden Medical Center, The Hague, the Netherlands
| | - Rory Monahan
- Department of Rheumatology, Leiden University Medical Center, Leiden, the Netherlands
| | - Tom Huizinga
- Department of Rheumatology, Leiden University Medical Center, Leiden, the Netherlands
| | - Mark A van Buchem
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Itamar Ronen
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Jeroen de Bresser
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
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28
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Narasimhan M, Schwartz R, Halliday G. Parkinsonism and cerebrovascular disease. J Neurol Sci 2021; 433:120011. [PMID: 34686356 DOI: 10.1016/j.jns.2021.120011] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/01/2021] [Accepted: 09/29/2021] [Indexed: 11/27/2022]
Abstract
The relationship between cerebrovascular disease and parkinsonism is commonly seen in everyday clinical practice but remains ill-defined and under-recognised with little guidance for the practising neurologist. We attempt to define this association and to illustrate key clinical, radiological and pathological features of the syndrome of Vascular Parkinsonism (VaP). VaP is a major cause of morbidity in the elderly associated with falls, hip fractures and cognitive impairment. Although acute parkinsonism is reported in the context of an acute cerebrovascular event, the vast majority of VaP presents as an insidious syndrome usually in the context of vascular risk factors and radiological evidence of small vessel disease. There may be an anatomic impact on basal ganglia neuronal networks, however the effect of small vessel disease (SVD) on these pathways is not clear. There are now established reporting standards for radiological features of SVD on MRI. White matter hyperintensities and lacunes have been thought to be the representative radiological features of SVD but other features such as the perivascular space are gaining more importance, especially in context of the glymphatic system. It is important to consider VaP in the differential diagnosis of Parkinson disease (PD) and in these situations, neuroimaging may offer diagnostic benefit especially in those patients with atypical presentations or refractoriness to levodopa. Proactive management of vascular risk factors, monitoring of bone density and an exercise program may offer easily attainable therapeutic targets in PD and VaP. Levodopa therapy should be considered in patients with VaP, however the dose and effect may be different from use in PD. This article is part of the Special Issue "Parkinsonism across the spectrum of movement disorders and beyond" edited by Joseph Jankovic, Daniel D. Truong and Matteo Bologna.
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Affiliation(s)
- Manisha Narasimhan
- Brain and Mind Centre and Faculty of Health and Medical Sciences, School of Medical Sciences, University of Sydney, Sydney, NSW, Australia.
| | - Raymond Schwartz
- Brain and Mind Centre and Faculty of Health and Medical Sciences, School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
| | - Glenda Halliday
- Brain and Mind Centre and Faculty of Health and Medical Sciences, School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
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Ellwood A, Quinn C, Mountain G. Psychological and Social Factors Associated with Coexisting Frailty and Cognitive Impairment: A Systematic Review. Res Aging 2021; 44:448-464. [PMID: 34601993 PMCID: PMC9039321 DOI: 10.1177/01640275211045603] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Those living with coexistent frailty and cognitive impairment are at risk of poorer health outcomes. Research often focuses on identifying biological factors. This review sought to identify the association psychological and social factors have with coexisting physical and cognitive decline. Six databases were systematically searched in July 2020. Studies included individuals aged 60 years or older identified as being both frail and cognitively impaired. A narrative synthesis examined patterns within the data. Nine studies were included, most employed a cross-sectional design. Depression was investigated by all nine studies, those with coexistent frailty and cognitive impairment had higher levels of depressive symptoms than peers. Findings were mixed on social factors, although broadly indicate lower education, living alone and lower material wealth were more frequent in those living with coexistent decline. Further research is needed to explore potentially modifiable psychological and social factors which could lead to the development of supportive interventions.
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Affiliation(s)
- Alison Ellwood
- Centre for Applied Dementia Studies, 1905University of Bradford, Bradford, UK.,Wolfson Centre of Applied Health Research, Bradford, UK
| | - Catherine Quinn
- Centre for Applied Dementia Studies, 1905University of Bradford, Bradford, UK.,Wolfson Centre of Applied Health Research, Bradford, UK
| | - Gail Mountain
- Centre for Applied Dementia Studies, 1905University of Bradford, Bradford, UK
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30
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Li C, Chen Y, Wu PY, Wu B, Gong T, Wang H, Chen M. Associations between brain volumetry and relaxometry signatures and the Edmonton Frail Scale in frailty. Quant Imaging Med Surg 2021; 11:2560-2571. [PMID: 34079723 DOI: 10.21037/qims-20-852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background Frailty is a geriatric condition characterized by a decreased reserve. The Edmonton frailty scale (EFS) has been widely used as an assessment tool in clinical practice. However, the brain's underlying pathophysiological changes in frailty and their associations with the EFS remain unclear. This study aimed to explore the associations between brain volumetry and relaxometry signatures and the EFS (and each domain score of the EFS) in frailty. Methods A total of 40 non-demented subjects were enrolled in this prospective study. Frailty assessment was performed for each subject according to the EFS. All subjects underwent synthetic magnetic resonance imaging (MRI) (MAGnetic resonance image Compilation, MAGiC) and three-dimensional fast spoiled gradient-recalled echo (3D-FSPGR) T1-weighted structural image acquisitions on a 3.0 T MR scanner. Brain segmentation was performed based on quantitative values obtained from the MAGiC and 3D-FSPGR images. Volumetry and relaxometry of the global brain and regional gray matter (GM) were also obtained. The associations between the total EFS score (and the score of each domain) and the brain's volumetry and relaxometry were investigated by partial correlation while eliminating the effects of age. Multiple comparisons of regional GM volumetry and relaxometry analyses were controlled by false discovery rate (FDR) correction. All data were analyzed using the SPSS 13.0 statistical package (IBM, Armonk, NY, USA) and MATLAB (MathWorks, Natick, MA, USA). Results For global volumetry, significant correlations were found between multiple global volumetry parameters and the EFS, as well as the cognition score, functional independence score, nutrition score, and functional performance score (P<0.05). For global relaxometry, notable positive correlations were found between the T2 values of gray and white matter (WM) and the EFS (r=0.357, P=0.026; r=0.357, P=0.026, respectively). Significant correlations were also identified between the T2 value of GM, the T1, T2, and PD values of WM, and the cognition score (r=0.426, P=0.007; r=0.456, P=0.003; r=0.377, P=0.018; r=0.424, P=0.007, respectively), functional independence score (r=-0.392, P=0.014; r=-0.611, P<0.001; r=-0.367, P=0.022; r=-0.569, P<0.001, respectively), and functional performance score (r=0.337, P=0.036; r=0.472, P=0.002; r=0.354, P=0.027; r=0.376, P=0.018, respectively). For regional GM volumetry, multiple regions showed significant negative correlations with the EFS (P<0.05). Notable negative correlations were found between multiple regional GM volume and the functional independence score (P<0.05). For regional GM relaxometry, the T1 and T2 values of several regions showed significant negative correlations with the functional independence score (T1 value of caudate, r=-0.617, P<0.001; T2 value of insula, r=-0.510, P=0.015; T2 value of caudate, r=-0.633, P<0.001, respectively). No significant correlation was found between the domain scores of the EFS and regional GM PD values (P>0.05). Conclusions In conclusion, brain volumetry and relaxometry signatures showed strong associations with the EFS and some EFS domain scores in frailty. These associations may reveal the possible underlying pathophysiology of the EFS and different domains of the EFS.
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Affiliation(s)
- Chunmei Li
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yuhui Chen
- Department of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | | | - Bing Wu
- GE Healthcare, Beijing, China
| | - Tao Gong
- Department of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Hua Wang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Min Chen
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
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31
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Inglese F, Kant IMJ, Monahan RC, Steup-Beekman GM, Huizinga TWJ, van Buchem MA, Magro-Checa C, Ronen I, de Bresser J. Different phenotypes of neuropsychiatric systemic lupus erythematosus are related to a distinct pattern of structural changes on brain MRI. Eur Radiol 2021; 31:8208-8217. [PMID: 33929569 PMCID: PMC8523434 DOI: 10.1007/s00330-021-07970-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 03/16/2021] [Accepted: 03/31/2021] [Indexed: 12/14/2022]
Abstract
Objectives The underlying structural brain correlates of neuropsychiatric involvement in systemic lupus erythematosus (NPSLE) remain unclear, thus hindering correct diagnosis. We compared brain tissue volumes between a clinically well-defined cohort of patients with NPSLE and SLE patients with neuropsychiatric syndromes not attributed to SLE (non-NPSLE). Within the NPSLE patients, we also examined differences between patients with two distinct disease phenotypes: ischemic and inflammatory. Methods In this prospective (May 2007 to April 2015) cohort study, we included 38 NPSLE patients (26 inflammatory and 12 ischemic) and 117 non-NPSLE patients. All patients underwent a 3-T brain MRI scan that was used to automatically determine white matter, grey matter, white matter hyperintensities (WMH) and total brain volumes. Group differences in brain tissue volumes were studied with linear regression analyses corrected for age, gender, and total intracranial volume and expressed as B values and 95% confidence intervals. Results NPSLE patients showed higher WMH volume compared to non-NPSLE patients (p = 0.004). NPSLE inflammatory patients showed lower total brain (p = 0.014) and white matter volumes (p = 0.020), and higher WMH volume (p = 0.002) compared to non-NPSLE patients. Additionally, NPSLE inflammatory patients showed lower white matter (p = 0.020) and total brain volumes (p = 0.038) compared to NPSLE ischemic patients. Conclusion We showed that different phenotypes of NPSLE were related to distinct patterns of underlying structural brain MRI changes. Especially the inflammatory phenotype of NPSLE was associated with the most pronounced brain volume changes, which might facilitate the diagnostic process in SLE patients with neuropsychiatric symptoms. Key Points • Neuropsychiatric systemic lupus erythematosus (NPSLE) patients showed a higher WMH volume compared to SLE patients with neuropsychiatric syndromes not attributed to SLE (non-NPSLE). • NPSLE patients with inflammatory phenotype showed a lower total brain and white matter volume, and a higher volume of white matter hyperintensities, compared to non-NPSLE patients. • NPSLE patients with inflammatory phenotype showed lower white matter and total brain volumes compared to NPSLE patients with ischemic phenotype. Supplementary Information The online version contains supplementary material available at 10.1007/s00330-021-07970-2.
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Affiliation(s)
- Francesca Inglese
- Department of Radiology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333, ZA, Leiden, The Netherlands.
| | - Ilse M J Kant
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3584, CX, Utrecht, The Netherlands
| | - Rory C Monahan
- Department of Rheumatology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333, ZA, Leiden, The Netherlands
| | - Gerda M Steup-Beekman
- Department of Rheumatology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333, ZA, Leiden, The Netherlands
| | - Tom W J Huizinga
- Department of Rheumatology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333, ZA, Leiden, The Netherlands
| | - Mark A van Buchem
- Department of Radiology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333, ZA, Leiden, The Netherlands
| | - Cesar Magro-Checa
- Department of Rheumatology, Zuyderland Medical Center, Henri Dunantstraat 5, 6419, PC, Heerlen, The Netherlands
| | - Itamar Ronen
- Department of Radiology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333, ZA, Leiden, The Netherlands
| | - Jeroen de Bresser
- Department of Radiology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2333, ZA, Leiden, The Netherlands
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32
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The interaction of cognitive and brain reserve with frailty in the association with mortality: an observational cohort study. THE LANCET HEALTHY LONGEVITY 2021; 2:e194-e201. [DOI: 10.1016/s2666-7568(21)00028-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 02/08/2021] [Accepted: 02/10/2021] [Indexed: 11/24/2022]
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33
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Lammers F, Zacharias N, Borchers F, Mörgeli R, Spies CD, Winterer G. Functional Connectivity of the Supplementary Motor Network Is Associated with Fried's Modified Frailty Score in Older Adults. J Gerontol A Biol Sci Med Sci 2021; 75:2239-2248. [PMID: 31900470 DOI: 10.1093/gerona/glz297] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Indexed: 01/22/2023] Open
Abstract
Frailty is a geriatric syndrome defined by coexistence of unintentional weight loss, low physical reserve, or activity and is associated with adverse health events. Neuroimaging studies reported structural white matter changes in frail patients. In the current study, we hypothesized that clinical frailty is associated also with functional changes in motion-related cortical areas, that is, (pre-)supplementary motor areas (SMA, pre-SMA). We expected that observed functional changes are related to motor-cognitive test performance. We studied a clinical sample of 143 cognitively healthy patients ≥65 years presenting for elective surgery, enrolled in the BioCog prospective multicentric cohort study on postoperative cognitive disorders. Participants underwent preoperative resting-state functional magnetic resonance imaging, motor-cognitive testing, and assessment of Fried's modified frailty criteria. We analyzed functional connectivity associations with frailty and motor-cognitive test performance. Clinically robust patients (N = 60) showed higher connectivity in the SMA network compared to frail (N = 13) and prefrail (N = 70) patients. No changes were found in the pre-SMA network. SMA connectivity correlated with motor speed (Trail-Making-Test A) and manual dexterity (Grooved Pegboard Test). Our results suggest that diminished functional connectivity of the SMA is an early correlate of functional decline in the older adults . The SMA may serve as a potential treatment target in frailty.
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Affiliation(s)
- Florian Lammers
- Department of Anaesthesiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Germany
| | - Norman Zacharias
- Department of Anaesthesiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Germany.,Pharmaimage Biomarker Solutions GmbH, Berlin, Germany
| | - Friedrich Borchers
- Department of Anaesthesiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Germany
| | - Rudolf Mörgeli
- Department of Anaesthesiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Germany
| | - Claudia Doris Spies
- Department of Anaesthesiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Germany
| | - Georg Winterer
- Department of Anaesthesiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Germany.,Pharmaimage Biomarker Solutions GmbH, Berlin, Germany
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Suárez-Méndez I, Walter S, López-Sanz D, Pasquín N, Bernabé R, Castillo Gallo E, Valdés M, Del Pozo F, Maestú F, Rodríguez-Mañas L. Ongoing Oscillatory Electrophysiological Alterations in Frail Older Adults: A MEG Study. Front Aging Neurosci 2021; 13:609043. [PMID: 33679373 PMCID: PMC7935553 DOI: 10.3389/fnagi.2021.609043] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 01/28/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: The role of the central nervous system in the pathophysiology of frailty is controversial. We used magnetoencephalography (MEG) to search for abnormalities in the ongoing oscillatory neural activity of frail individuals without global cognitive impairment. Methods: Fifty four older (≥70 years) and cognitively healthy (Mini-Mental State Examination ≥24) participants were classified as robust (0 criterion, n = 34) or frail (≥ 3 criteria, n = 20) following Fried's phenotype. Memory, language, attention, and executive function were assessed through well-validated neuropsychological tests. Every participant underwent a resting-state MEG and a T1-weighted magnetic resonance imaging scan. We performed MEG power spectral analyses to compare the electrophysiological profiles of frail and robust individuals. We used an ensemble learner to investigate the ability of MEG spectral power to discriminate frail from robust participants. Results: We identified increased relative power in the frail group in the mu (p < 0.05) and sensorimotor (p < 0.05) frequencies across right sensorimotor, posterior parietal, and frontal regions. The ensemble learner discriminated frail from robust participants [area under the curve = 0.73 (95% CI = 0.49–0.98)]. Frail individuals performed significantly worse in the Trail Making Test, Digit Span Test (forward), Rey-Osterrieth Complex Figure, and Semantic Fluency Test. Interpretation: Frail individuals without global cognitive impairment showed ongoing oscillatory alterations within brain regions associated with aspects of motor control, jointly to failures in executive function. Our results suggest that some physical manifestations of frailty might partly arise from failures in central structures relevant to sensorimotor and executive processing.
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Affiliation(s)
- Isabel Suárez-Méndez
- Laboratory of Cognitive and Computational Neuroscience (Complutense University of Madrid - Universidad Politécnica de Madrid), Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid (UPM), Madrid, Spain.,Department of Structure of Matter, Thermal Physics and Electronics, Complutense University of Madrid (UCM), Madrid, Spain.,Department of Experimental Psychology, Complutense University of Madrid (UCM), Madrid, Spain
| | - Stefan Walter
- Foundation for Biomedical Research, University Hospital of Getafe, Getafe, Spain.,Centro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable (CIBERFES), Spain.,Department of Medicine and Public Health, Rey Juan Carlos University, Madrid, Spain
| | - David López-Sanz
- Laboratory of Cognitive and Computational Neuroscience (Complutense University of Madrid - Universidad Politécnica de Madrid), Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid (UPM), Madrid, Spain.,Department of Psychobiology and Methodology in Behavioral Sciences, Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - Natalia Pasquín
- Foundation for Biomedical Research, University Hospital of Getafe, Getafe, Spain
| | - Raquel Bernabé
- Foundation for Biomedical Research, University Hospital of Getafe, Getafe, Spain
| | | | - Myriam Valdés
- Foundation for Biomedical Research, University Hospital of Getafe, Getafe, Spain.,Geriatric Service, University Hospital of Getafe, Getafe, Spain
| | - Francisco Del Pozo
- Laboratory of Cognitive and Computational Neuroscience (Complutense University of Madrid - Universidad Politécnica de Madrid), Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid (UPM), Madrid, Spain
| | - Fernando Maestú
- Laboratory of Cognitive and Computational Neuroscience (Complutense University of Madrid - Universidad Politécnica de Madrid), Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid (UPM), Madrid, Spain.,Department of Experimental Psychology, Complutense University of Madrid (UCM), Madrid, Spain.,Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Spain
| | - Leocadio Rodríguez-Mañas
- Foundation for Biomedical Research, University Hospital of Getafe, Getafe, Spain.,Centro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable (CIBERFES), Spain.,Geriatric Service, University Hospital of Getafe, Getafe, Spain
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Kant IMJ, Slooter AJC, Jaarsma-Coes M, van Montfort SJT, Witkamp TD, Pasma W, Hendrikse J, de Bresser J. Preoperative MRI brain phenotypes are related to postoperative delirium in older individuals. Neurobiol Aging 2021; 101:247-255. [PMID: 33647523 DOI: 10.1016/j.neurobiolaging.2021.01.033] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 01/25/2021] [Accepted: 01/31/2021] [Indexed: 12/12/2022]
Abstract
The underlying structural correlates of predisposition to postoperative delirium remain largely unknown. A combined analysis of preoperative brain magnetic resonance imaging (MRI) markers could improve our understanding of the pathophysiology of delirium. Therefore, we aimed to identify different MRI brain phenotypes in older patients scheduled for major elective surgery, and to assess the relation between these phenotypes and postoperative delirium. Markers of neurodegenerative and neurovascular brain changes were determined from MRI brain scans in older patients (n = 161, mean age 71, standard deviation 5 years), of whom 24 (15%) developed delirium. A hierarchical cluster analysis was performed. We found six distinct groups of patients with different MRI brain phenotypes. Logistic regression analysis showed a higher odds of developing postoperative delirium in individuals with multi-burden pathology (n = 15 (9%), odds ratio (95% confidence interval): 3.8 (1.1-13.0)). In conclusion, these results indicate that different MRI brain phenotypes are related to a different risk of developing delirium after major elective surgery. MRI brain phenotypes could assist in an improved understanding of the structural correlates of predisposition to postoperative delirium.
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Affiliation(s)
- Ilse M J Kant
- Department of Intensive Care Medicine, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands.
| | - Arjen J C Slooter
- Department of Intensive Care Medicine, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Myriam Jaarsma-Coes
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Simone J T van Montfort
- Department of Intensive Care Medicine, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Theo D Witkamp
- Department of Radiology, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Wietze Pasma
- Department of Intensive Care Medicine, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Jeroen de Bresser
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
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Jordan N, Gvalda M, Cody R, Galante O, Haywood C, Yates P. Frailty, MRI, and FDG-PET Measures in an Australian Memory Clinic Cohort. Front Med (Lausanne) 2021; 7:578243. [PMID: 33521008 PMCID: PMC7840574 DOI: 10.3389/fmed.2020.578243] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 10/14/2020] [Indexed: 01/30/2023] Open
Abstract
Given that the global population is aging, the number of age-related syndromes, such as frailty, is expected to rise in conjunction. Frailty is characterized by the loss of homeostatic reserve, rendering the individual vulnerable to poor health outcomes. Many biological mechanisms have been proposed to contribute to frailty. However, few studies have assessed the associations between frailty and brain diseases or neuroimaging biomarkers. Aims: The aims of this study were to measure the prevalence of frailty in a memory clinic and to examine associations between frailty and brain changes found on magnetic resonance imaging (MRI) and 18-F deoxyglucose (FDG) positron emission tomography (PET) in memory clinic attendees. Methods: A 54-items Frailty Index was retrospectively assessed for all clinic attendees from 2014. Frailty was defined as FI > 0.25. MR images were analyzed for stroke, cerebral small vessel disease [CSVD, including cerebral microbleeds (CMBs), cortical superficial siderosis (CSS), and white matter hyperintensity (WMH)], and neurodegenerative changes [MRI: mesial temporal atrophy (MTA), FDG-PET: regional hypometabolism], blind to clinical findings. Results: There were 209 clinic attendees in 2014, of whom 121 had MRI performed. The prevalence of frailty (using FI) in the memory clinic in 2014 was 38.3% overall (patients without MRI: 43.2%, patients with MRI 34.7%, p = 0.25). Frailty was associated with presence of deep WMH, increased severity of periventricular WMH, and presence of CSS, but not neurodegeneration markers (MTA atrophy/FDG-PET hypometabolism). Conclusion: The findings support the idea that previously reported associations between frailty and imaging evidence of CSVD in other cohorts are also relevant to the Australian clinic setting. Given that a large proportion of memory clinic attendees are frail, there may be opportunities for interventions to reduce preventable adverse health outcomes, such as falls and fractures, and reduce the prevalence and impact of frailty in this cohort.
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Affiliation(s)
- Nan Jordan
- Department of Geriatric Medicine, Austin Health, Heidelberg, VIC, Australia
| | - Matthew Gvalda
- Department of Geriatric Medicine, Austin Health, Heidelberg, VIC, Australia
| | - Ross Cody
- Department of Geriatric Medicine, Austin Health, Heidelberg, VIC, Australia.,Department of Geriatric Medicine, Austin Health, Heidelberg, VIC, Australia
| | - Olivia Galante
- Department of Geriatric Medicine, Austin Health, Heidelberg, VIC, Australia
| | - Cilla Haywood
- Department of Geriatric Medicine, Austin Health, Heidelberg, VIC, Australia
| | - Paul Yates
- Department of Geriatric Medicine, Austin Health, Heidelberg, VIC, Australia.,Department of Medicine, Eastern Health, Box Hill, VIC, Australia.,Department of Medicine, University of Melbourne, Heidelberg, VIC, Australia
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Kant IMJ, de Bresser J, van Montfort SJT, Mutsaerts HJMM, Witkamp TD, Buijsrogge M, Spies C, Hendrikse J, Slooter AJC. Preoperative brain MRI features and occurrence of postoperative delirium. J Psychosom Res 2021; 140:110301. [PMID: 33260072 DOI: 10.1016/j.jpsychores.2020.110301] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 10/18/2020] [Accepted: 11/12/2020] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Delirium is a frequent complication after surgery with important negative outcomes for affected patients and society. However, it is still largely unknown why some patients have a predisposition for delirium and others not. To increase our understanding of the neural substrate of postoperative delirium, we studied the association between preoperative brain MRI features and the occurrence of delirium after major surgery. METHODS A group of 413 patients without dementia (Mean 72 years, SD: 5) was included in a prospective observational two-center study design. The study was conducted at Charité Universitätsmedizin (Berlin, Germany) and the University Medical Center Utrecht (Utrecht, The Netherlands). We measured preoperative brain volumes (total brain, gray matter, white matter), white matter hyperintensity volume and shape, brain infarcts and cerebral perfusion, and used logistic regression analysis adjusted for age, sex, intracranial volume, study center and type of surgery. RESULTS Postoperative delirium was present in a total of 70 patients (17%). Preoperative cortical brain infarcts increased the risk of postoperative delirium, although this did not reach statistical significance (OR (95%CI): 1.63 (0.84-3.18). Furthermore, we found a trend for an association of a more complex shape of white matter hyperintensities with occurrence of postoperative delirium (OR (95%CI): 0.97 (0.95-1.00)). Preoperative brain volumes, white matter hyperintensity volume, and cerebral perfusion were not associated with occurrence of postoperative delirium. CONCLUSION Our study suggests that patients with preoperative cortical brain infarcts and those with a more complex white matter hyperintensity shape may have a predisposition for developing delirium after major surgery.
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Affiliation(s)
- Ilse M J Kant
- Department of Intensive Care Medicine and UMC Utrecht Brain Center, UMC Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, the Netherlands; Department of Radiology and UMC Utrecht Brain Center, UMC Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, the Netherlands.
| | - Jeroen de Bresser
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
| | - Simone J T van Montfort
- Department of Intensive Care Medicine and UMC Utrecht Brain Center, UMC Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, the Netherlands.
| | - Henri J M M Mutsaerts
- Department of Radiology and UMC Utrecht Brain Center, UMC Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, the Netherlands.
| | - Theo D Witkamp
- Department of Radiology and UMC Utrecht Brain Center, UMC Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, the Netherlands
| | - Marc Buijsrogge
- Department of Cardiothoracic Surgery, UMC Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, the Netherlands
| | - Claudia Spies
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM,CVK), Charité - Universitätsmedizin Berlin, Berlin, Germany.
| | - Jeroen Hendrikse
- Department of Radiology and UMC Utrecht Brain Center, UMC Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, the Netherlands.
| | - Arjen J C Slooter
- Department of Intensive Care Medicine and UMC Utrecht Brain Center, UMC Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, the Netherlands.
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Abstract
Overactive bladder (OAB) and frailty are multidimensional syndromes, and the prevalence of both increases with age. Little evidence exists for a direct association between OAB and frailty, but urinary urgency may well be a precursor of frailty in older people. Frail older adults are no less deserving of treatment than fit older adults, and lifestyle, behavioral, and pharmacological interventions remain the primary options for treatment, with some evidence for efficacy. Data on onabotulinumtoxinA therapy or percutaneous tibial nerve stimulation in frail older adults are sparse. Frail older adults are often excluded from drug trials, but evidence is accumulating that antimuscarinics and, to a lesser extent, beta-adrenergic agonists are safe, well-tolerated, and effective in older adults. Cognitive impairment associated with frailty should not be used as justification for avoiding the use of antimuscarinics. More studies are required to better understand the association between OAB and frailty, as both are associated with poor outcomes and may be amenable to intervention. Drug trials for OAB treatments should be encouraged to include frail older adults, as this population is highly affected yet often excluded.
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Sugimoto T, Ono R, Kimura A, Saji N, Niida S, Toba K, Sakurai T. Cross-Sectional Association Between Cognitive Frailty and White Matter Hyperintensity Among Memory Clinic Patients. J Alzheimers Dis 2020; 72:605-612. [PMID: 31594230 DOI: 10.3233/jad-190622] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Cognitive frailty (CF) is defined as simultaneous presence of physical frailty (PF) and cognitive impairment among older adults without dementia. Although white matter hyperintensities (WMH) as expressions of cerebral small vessel disease are associated with physical and cognitive decline and could manifest as CF, this association remains yet to be clarified. OBJECTS To clarify the association between CF and WMH among memory clinic patients. METHODS The subjects of this cross-sectional study were 121 cognitively normal (CN) and 212 mildly cognitively impaired (MCI) patients who presented to the Memory Clinic at the National Center for Geriatrics and Gerontology of Japan. PF status was defined based on the definition proposed by Fried and colleagues. CF was defined as simultaneous presence of pre-PF or PF and MCI. WMH volumes were measured using an automatic segmentation application. Multiple liner regression analyses with adjustment for cardiovascular risk factors were performed. RESULTS Of all subjects, 77 (63.6%) and 22 (18.2%) CN patients and 132 (62.3%) and 65 (30.7%) MCI patients were categorized into pre-PF and PF, respectively. Multiple liner regression analysis showed that those with CF had higher WMH volumes than those without (β= 0.23). When categorized into six groups according to PF and cognitive status, the PF/CN (β= 0.15), pre-PF/MCI (β= 0.41), and PF/MCI (β= 0.34) groups had higher WMH volumes than the non-PF/CN group. CONCLUSIONS This study showed increased WMH volumes in CF and PF, indicating that WMH could be one of the key underlying brain pathologies of CF.
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Affiliation(s)
- Taiki Sugimoto
- Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan.,Medical Genome Center, National Center for Geriatrics and Gerontology, Obu, Japan.,Department of Public Health, Kobe University Graduate School of Health Sciences, Kobe, Japan
| | - Rei Ono
- Department of Public Health, Kobe University Graduate School of Health Sciences, Kobe, Japan
| | - Ai Kimura
- Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan.,Medical Genome Center, National Center for Geriatrics and Gerontology, Obu, Japan.,Department of Cognition and Behavior Science, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Naoki Saji
- Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Shumpei Niida
- Medical Genome Center, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Kenji Toba
- Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Takashi Sakurai
- Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan.,Department of Cognition and Behavior Science, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Tian Q, Williams OA, Landman BA, Resnick SM, Ferrucci L. Microstructural Neuroimaging of Frailty in Cognitively Normal Older Adults. Front Med (Lausanne) 2020; 7:546344. [PMID: 33195297 PMCID: PMC7645067 DOI: 10.3389/fmed.2020.546344] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Accepted: 09/21/2020] [Indexed: 11/17/2022] Open
Abstract
Physical frailty is an age-related clinical syndrome that is associated with multiple adverse health outcomes, including cognitive impairment and dementia. Recent studies have shown that frailty is associated with specific volumetric neuroimaging characteristics. Whether brain microstructural characteristics, particularly gray matter, associated with frailty exist and what their spatial distribution is have not been explored. We identified 670 participants of the Baltimore Longitudinal Study of Aging who were aged 60 and older and cognitively normal and who had concurrent data on frailty and regional microstructural neuroimaging markers by diffusion tensor imaging (DTI), including mean diffusivity (MD) of gray matter and fractional anisotropy (FA) of white matter. We identified neuroimaging markers that were associated with frailty status (non-frail, pre-frail, frail) and further examined differences between three groups using multivariate linear regression (non-frail = reference). Models were adjusted for age, sex, race, years of education, body mass index, scanner type, and Apolipoprotein E e4 carrier status. Compared to the non-frail participants, those who were frail had higher MD in the medial frontal cortex, several subcortical regions (putamen, caudate, thalamus), anterior cingulate cortex, and a trend of lower FA in the body of the corpus callosum. Those who were pre-frail also had higher MD in the putamen and a trend of lower FA in the body of the corpus callosum. Our study demonstrates for the first time that the microstructure of both gray and white matter differs by frailty status in cognitively normal older adults. Brain areas were not widespread but mostly localized in frontal and subcortical motor areas and the body of the corpus callosum. Whether changes in brain microstructure precede future frailty development warrants further investigation.
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Affiliation(s)
- Qu Tian
- Longitudinal Studies Section, National Institute on Aging, Baltimore, MD, United States
| | - Owen A Williams
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, United States.,Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
| | - Bennett A Landman
- School of Engineering, Vanderbilt University, Nashville, TN, United States
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, United States
| | - Luigi Ferrucci
- Longitudinal Studies Section, National Institute on Aging, Baltimore, MD, United States
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Lu WH, de Souto Barreto P, Rolland Y, Rodríguez-Mañas L, Bouyahia A, Fischer C, Mangin JF, Giudici KV, Vellas B. Cross-sectional and prospective associations between cerebral cortical thickness and frailty in older adults. Exp Gerontol 2020; 139:111018. [PMID: 32663588 DOI: 10.1016/j.exger.2020.111018] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 06/16/2020] [Accepted: 07/03/2020] [Indexed: 11/15/2022]
Abstract
BACKGROUND Several neurodegenerative markers measured by magnetic resonance imaging (MRI) have shown to be related with frailty. While most studies have focused on surrogates of cerebral vascular damage such as increased white matter lesions, the associations between cortical atrophy and frailty were less often investigated. OBJECTIVES To investigate the cross-sectional and prospective associations between cortical thickness and frailty evolution in older adults. METHODS We enrolled 484 community-dwelling adults aged ≥70 years, participants from the Multidomain Alzheimer Preventive Trial (MAPT), with data on cerebral cortical thickness and frailty. Cortical thickness was acquired by MRI for whole-brain and regional cortices. Two function-specific regions of interest, i.e., mobility-related regions and Alzheimer's disease (AD) signature, were selected on the basis of previous studies. Frailty status was assessed by the Fried frailty phenotype (i.e., weakness, slowness, involuntary weight loss, fatigue and low physical activity level) at baseline, after 6 months and every year until the end of the 5-year follow-up. RESULTS Older adults with higher global cortical thickness were less likely to be pre-frail and frail at baseline (adjusted OR: 0.13, 95% CI: 0.03-0.65, p = 0.013). In addition, higher cortical thickness in mobility-related and AD-signature regions were associated with lower likelihood of being pre-frail and frail. Similar associations were observed for having weakness and slowness. However, neither global nor region-specific cortical thickness showed prospective associations with future frailty onset. CONCLUSIONS The global and regional cortical thickness cross-sectionally associated with frailty in older adults, but no prospective associations with incident frailty were found. The longitudinal relationship between cortical thickness and frailty evolution requires further investigation.
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Affiliation(s)
- Wan-Hsuan Lu
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), Toulouse, France.
| | - Philipe de Souto Barreto
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), Toulouse, France; UPS/Inserm UMR1027, University of Toulouse III, Toulouse, France
| | - Yves Rolland
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), Toulouse, France; UPS/Inserm UMR1027, University of Toulouse III, Toulouse, France
| | - Leocadio Rodríguez-Mañas
- CIBER of Frailty and Healthy Aging (CIBERFES), Madrid, Spain; Geriatric Department, Hospital Universitario de Getafe, Getafe, Spain
| | - Ali Bouyahia
- CATI Multicenter Neuroimaging Platform, Neurospin, CEA, Gif-sur-Yvette, France
| | - Clara Fischer
- CATI Multicenter Neuroimaging Platform, Neurospin, CEA, Gif-sur-Yvette, France; Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, France
| | - Jean-François Mangin
- CATI Multicenter Neuroimaging Platform, Neurospin, CEA, Gif-sur-Yvette, France; Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, France
| | - Kelly Virecoulon Giudici
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), Toulouse, France
| | - Bruno Vellas
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), Toulouse, France; UPS/Inserm UMR1027, University of Toulouse III, Toulouse, France
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Lauksio I, Lindström I, Khan N, Sillanpää N, Hernesniemi J, Oksala N, Protto S. Brain atrophy predicts mortality after mechanical thrombectomy of proximal anterior circulation occlusion. J Neurointerv Surg 2020; 13:415-420. [PMID: 32620574 DOI: 10.1136/neurintsurg-2020-016168] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 05/31/2020] [Accepted: 06/06/2020] [Indexed: 11/04/2022]
Abstract
BACKGROUND Brain atrophy is associated with an inferior functional outcome in patients undergoing mechanical thrombectomy (MT) for acute ischemic stroke. We hypothesized that brain atrophy determined from pre-interventional non-contrast-enhanced CT scans would also be linked to increased mortality in this cohort. METHODS A total of 204 patients treated with MT for acute occlusions of the internal carotid artery (ICA) or the M1 segment of the middle cerebral artery (M1) at Tampere University Hospital, Finland between 2013 and 2017 were retrospectively studied. Brain atrophy index (BAI), masseter muscle surface area and density, chronic ischemic lesions, and white matter lesions were evaluated from pre-interventional CT studies. Logistic regression was applied in analyzing the association of BAI with 3-month mortality. RESULTS Median age at baseline was 69.9 years (IQR 15.6) and mortality at 3 months was 13.2% (n=27). BAI, measured with excellent reproducibility (intraclass correlation coefficient ≥0.894, p<0.001), was significantly associated with age (r=0.54), white matter lesions (r=0.43), dental status (r=-0.31), masseter area (r=-0.24), masseter density (r=-0.28), and chronic ischemic lesions (r=0.24) (p≤0.001 for all). In univariable analysis, BAI demonstrated a strong association with mortality (OR 2.02, 95% CI 1.34 to 3.05, per 1 SD increase), and none of the other factors associated with mortality remained as significant when included in the same multivariable model. The results remained similar when extending the follow-up up to 2.5 years. CONCLUSIONS Brain atrophy predicts 3-month mortality after MT of the ICA or the M1 independent of age, masseter sarcopenia, chronic ischemic lesions, or white matter lesions.
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Affiliation(s)
- Iisa Lauksio
- Surgery, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Iisa Lindström
- Surgery, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Niina Khan
- Centre for Vascular Surgery and Interventional Radiology, Tampere University Hospital, Tampere, Finland
| | - Niko Sillanpää
- Centre for Vascular Surgery and Interventional Radiology, Tampere University Hospital, Tampere, Finland
| | - Jussi Hernesniemi
- Internal Medicine, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,Tays Heart Hospital, Tampere University Hospital, Tampere, Finland.,Finnish Cardiovascular Research Center, Tampere University Hospital, Tampere, Finland
| | - Niku Oksala
- Surgery, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,Centre for Vascular Surgery and Interventional Radiology, Tampere University Hospital, Tampere, Finland.,Finnish Cardiovascular Research Center, Tampere University Hospital, Tampere, Finland
| | - Sara Protto
- Centre for Vascular Surgery and Interventional Radiology, Tampere University Hospital, Tampere, Finland
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Hassan EB, Imani M, Duque G. Is Physical Frailty a Neuromuscular Condition? J Am Med Dir Assoc 2020; 20:1556-1557. [PMID: 31780040 DOI: 10.1016/j.jamda.2019.10.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 10/18/2019] [Accepted: 10/26/2019] [Indexed: 12/31/2022]
Affiliation(s)
- Ebrahim Bani Hassan
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St Albans, Victoria, Australia; Department of Medicine-Western Health, The University of Melbourne, St Albans, Victoria, Australia
| | - Mahdi Imani
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St Albans, Victoria, Australia; Department of Medicine-Western Health, The University of Melbourne, St Albans, Victoria, Australia
| | - Gustavo Duque
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St Albans, Victoria, Australia; Department of Medicine-Western Health, The University of Melbourne, St Albans, Victoria, Australia.
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Wleklik M, Uchmanowicz I, Jankowska EA, Vitale C, Lisiak M, Drozd M, Pobrotyn P, Tkaczyszyn M, Lee C. Multidimensional Approach to Frailty. Front Psychol 2020; 11:564. [PMID: 32273868 PMCID: PMC7115252 DOI: 10.3389/fpsyg.2020.00564] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 03/10/2020] [Indexed: 12/18/2022] Open
Abstract
The concept of frailty syndrome (FS) was first described in the scientific literature three decades ago. For a very long time, we understood it as a geriatric problem, recently becoming one of the dominant concepts in cardiology. It identifies symptoms of FS in one in 10 elderly people. It is estimated that in Europe, 17% of elderly people have FS. The changes in FS resemble and often overlap with changes associated with the physiological aging process of the body. Although there are numerous scientific reports confirming that FS is age correlated, it is not an unavoidable part of the aging process and does not apply only to the elderly. FS is a reversible clinical condition. To maximize benefits of frailty-reversing activities for patient with frailty, identification of its determinants appears to be fundamental. Many of the determinants of the FS have already been known: reduction in physical activity, malnutrition, sarcopenia, polypharmacy, depressive symptom, cognitive disorders, and lack of social support. This review shows that insight into FS determinants is the starting point for building both the comprehensive definition of FS and the adoption of the assessment method of FS, and then successful clinical management.
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Affiliation(s)
- Marta Wleklik
- Faculty of Health Sciences, Wrocław Medical University, Wrocław, Poland
| | | | - Ewa A. Jankowska
- Centre for Heart Diseases, Faculty of Health Sciences, Wrocław Medical University, Wrocław, Poland
| | - Cristiana Vitale
- Centre for Clinical and Basic Research, IRCCS San Raffaele Pisana, Rome, Italy
| | - Magdalena Lisiak
- Faculty of Health Sciences, Wrocław Medical University, Wrocław, Poland
| | - Marcin Drozd
- Centre for Heart Diseases, Faculty of Health Sciences, Wrocław Medical University, Wrocław, Poland
| | | | - Michał Tkaczyszyn
- Centre for Heart Diseases, Faculty of Health Sciences, Wrocław Medical University, Wrocław, Poland
| | - Christopher Lee
- William F. Conell School of Nursing, Boston College, Newton, MA, United States
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Vallet A, Del Campo N, Hoogendijk EO, Lokossou A, Balédent O, Czosnyka Z, Balardy L, Payoux P, Swider P, Lorthois S, Schmidt E. Biomechanical response of the CNS is associated with frailty in NPH-suspected patients. J Neurol 2020; 267:1389-1400. [DOI: 10.1007/s00415-019-09689-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 12/20/2019] [Accepted: 12/23/2019] [Indexed: 12/29/2022]
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Siejka TP, Srikanth VK, Hubbard RE, Moran C, Beare R, Wood A, Phan T, Balogun S, Callisaya ML. White Matter Hyperintensities and the Progression of Frailty—The Tasmanian Study of Cognition and Gait. J Gerontol A Biol Sci Med Sci 2020; 75:1545-1550. [DOI: 10.1093/gerona/glaa024] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Indexed: 12/12/2022] Open
Abstract
Abstract
Background
The contribution of cerebral small vessel disease (cSVD) to the pathogenesis of frailty remains uncertain. We aimed to examine the associations between cSVD with progression of frailty in a population-based study of older people.
Methods
People aged between 60 and 85 years were randomly selected form the electoral roll to participate in the Tasmanian Study of Cognition and Gait. Participants underwent self-reported questionnaires, objective gait, cognitive and sensorimotor testing over three phases ranging between 2005 and 2012. These data were used to calculate a 41-item frailty index (FI) at three time points. Baseline brain magnetic resonance imaging was performed on all participants to measure cSVD. Generalized mixed models were used to examine associations between baseline cSVD and progression of frailty, adjusted for confounders of age, sex, level of education, and total intracranial volume.
Results
At baseline (n = 388) mean age was 72 years (SD = 7.0), 44% were female, and the median FI score was 0.20 (interquartile range [IQR] 0.12, 0.27). In fully adjusted models higher burden of baseline white matter hyperintensity (WMH) was associated with frailty progression over 4.4 years (β = 0.03, 95% CI: 0.01, 0.05; p = .004) independent of other SVD markers. Neither baseline infarcts (p = .23), nor microbleeds at baseline (p = .65) were associated with progression of frailty.
Conclusions
We provide evidence for an association between baseline WMHs and progression of frailty. Our findings add to a growing body of literature suggesting WMH is a marker for frailty.
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Affiliation(s)
- Timothy P Siejka
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
- Alfred Health, Melbourne, Victoria, Australia
| | - Velandai K Srikanth
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Ruth E Hubbard
- Faculty of Medicine, University of Queensland, Brisbane, Australia
| | - Chris Moran
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Richard Beare
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Clinical Sciences, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
| | - Amanda Wood
- School of Life and Health Sciences & Aston Brain Centre, Aston University, Birmingham, UK
- School of Psychology, Faculty of Health, Melbourne Burwood Campus, Deakin University, Geelong, Victoria, Australia
| | - Thanh Phan
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Saliu Balogun
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Michele L Callisaya
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Victoria, Australia
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The association between frailty and MRI features of cerebral small vessel disease. Sci Rep 2019; 9:11343. [PMID: 31383903 PMCID: PMC6683288 DOI: 10.1038/s41598-019-47731-2] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 07/23/2019] [Indexed: 12/11/2022] Open
Abstract
Frailty is a common syndrome in older individuals that is associated with poor cognitive outcome. The underlying brain correlates of frailty are unclear. The aim of this study was to investigate the association between frailty and MRI features of cerebral small vessel disease in a group of non-demented older individuals. We included 170 participants who were classified as frail (n = 30), pre-frail (n = 85) or non-frail (n = 55). The association of frailty and white matter hyperintensity volume and shape features, lacunar infarcts and cerebral perfusion was investigated by regression analyses adjusted for age and sex. Frail and pre-frail participants were older, more often female and showed higher white matter hyperintensity volume (0.69 [95%-CI 0.08 to 1.31], p = 0.03 respectively 0.43 [95%-CI: 0.04 to 0.82], p = 0.03) compared to non-frail participants. Frail participants showed a non-significant trend, and pre-frail participants showed a more complex shape of white matter hyperintensities (concavity index: 0.04 [95%-CI: 0.03 to 0.08], p = 0.03; fractal dimensions: 0.07 [95%-CI: 0.00 to 0.15], p = 0.05) compared to non-frail participants. No between group differences were found in gray matter perfusion or in the presence of lacunar infarcts. In conclusion, increased white matter hyperintensity volume and a more complex white matter hyperintensity shape may be structural brain correlates of the frailty phenotype.
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