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Livingston G, Huntley J, Liu KY, Costafreda SG, Selbæk G, Alladi S, Ames D, Banerjee S, Burns A, Brayne C, Fox NC, Ferri CP, Gitlin LN, Howard R, Kales HC, Kivimäki M, Larson EB, Nakasujja N, Rockwood K, Samus Q, Shirai K, Singh-Manoux A, Schneider LS, Walsh S, Yao Y, Sommerlad A, Mukadam N. Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission. Lancet 2024; 404:572-628. [PMID: 39096926 DOI: 10.1016/s0140-6736(24)01296-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 04/08/2024] [Accepted: 06/16/2024] [Indexed: 08/05/2024]
Affiliation(s)
- Gill Livingston
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK.
| | - Jonathan Huntley
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Kathy Y Liu
- Division of Psychiatry, University College London, London, UK
| | - Sergi G Costafreda
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Geir Selbæk
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Geriatric Department, Oslo University Hospital, Oslo, Norway
| | - Suvarna Alladi
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - David Ames
- National Ageing Research Institute, Melbourne, VIC, Australia; University of Melbourne Academic Unit for Psychiatry of Old Age, Melbourne, VIC, Australia
| | - Sube Banerjee
- Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK
| | | | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Nick C Fox
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
| | - Cleusa P Ferri
- Health Technology Assessment Unit, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil; Department of Psychiatry, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Laura N Gitlin
- College of Nursing and Health Professions, AgeWell Collaboratory, Drexel University, Philadelphia, PA, USA
| | - Robert Howard
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Helen C Kales
- Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California, Sacramento, CA, USA
| | - Mika Kivimäki
- Division of Psychiatry, University College London, London, UK; Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Eric B Larson
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Noeline Nakasujja
- Department of Psychiatry College of Health Sciences, Makerere University College of Health Sciences, Makerere University, Kampala City, Uganda
| | - Kenneth Rockwood
- Centre for the Health Care of Elderly People, Geriatric Medicine, Dalhousie University, Halifax, NS, Canada
| | - Quincy Samus
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Bayview, Johns Hopkins University, Baltimore, MD, USA
| | - Kokoro Shirai
- Graduate School of Social and Environmental Medicine, Osaka University, Osaka, Japan
| | - Archana Singh-Manoux
- Division of Psychiatry, University College London, London, UK; Université Paris Cité, Inserm U1153, Paris, France
| | - Lon S Schneider
- Department of Psychiatry and the Behavioural Sciences and Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Sebastian Walsh
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Yao Yao
- China Center for Health Development Studies, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Andrew Sommerlad
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Naaheed Mukadam
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
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Wertman E. Essential New Complexity-Based Themes for Patient-Centered Diagnosis and Treatment of Dementia and Predementia in Older People: Multimorbidity and Multilevel Phenomenology. J Clin Med 2024; 13:4202. [PMID: 39064242 PMCID: PMC11277671 DOI: 10.3390/jcm13144202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 07/12/2024] [Accepted: 07/13/2024] [Indexed: 07/28/2024] Open
Abstract
Dementia is a highly prevalent condition with devastating clinical and socioeconomic sequela. It is expected to triple in prevalence by 2050. No treatment is currently known to be effective. Symptomatic late-onset dementia and predementia (SLODP) affects 95% of patients with the syndrome. In contrast to trials of pharmacological prevention, no treatment is suggested to remediate or cure these symptomatic patients. SLODP but not young onset dementia is intensely associated with multimorbidity (MUM), including brain-perturbating conditions (BPCs). Recent studies showed that MUM/BPCs have a major role in the pathogenesis of SLODP. Fortunately, most MUM/BPCs are medically treatable, and thus, their treatment may modify and improve SLODP, relieving suffering and reducing its clinical and socioeconomic threats. Regrettably, the complex system features of SLODP impede the diagnosis and treatment of the potentially remediable conditions (PRCs) associated with them, mainly due to failure of pattern recognition and a flawed diagnostic workup. We suggest incorporating two SLODP-specific conceptual themes into the diagnostic workup: MUM/BPC and multilevel phenomenological themes. By doing so, we were able to improve the diagnostic accuracy of SLODP components and optimize detecting and favorably treating PRCs. These revolutionary concepts and their implications for remediability and other parameters are discussed in the paper.
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Affiliation(s)
- Eli Wertman
- Department of Neurology, Hadassah University Hospital, The Hebrew University, Jerusalem 9190500, Israel;
- Section of Neuropsychology, Department of Psychology, The Hebrew University, Jerusalem 9190500, Israel
- Or’ad: Organization for Cognitive and Behavioral Changes in the Elderly, Jerusalem 9458118, Israel
- Merhav Neuropsychogeriatric Clinics, Nehalim 4995000, Israel
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Xu W, Zhao X, Zeng M, Wu S, He Y, Zhou M. Exercise for frailty research frontiers: a bibliometric analysis and systematic review. Front Med (Lausanne) 2024; 11:1341336. [PMID: 38751977 PMCID: PMC11094275 DOI: 10.3389/fmed.2024.1341336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 04/19/2024] [Indexed: 05/18/2024] Open
Abstract
Background Exercise intervention is a method of improving and preventing frailty in old age through physical exercise and physical activity. It has a positive impact on many chronic diseases and health risk factors, in particular cardiovascular disease, metabolic disease, osteoporosis, mental health problems and cancer prevention, and exercise therapies can also fight inflammation, increase muscle strength and flexibility, improve immune function, and enhance overall health. This study was aimed to analyze research hotspots and frontiers in exercise therapies for frailty through bibliometric methods. Methods In this study, data of publications from 1st January 2003 to 31st August 2023 were gathered from the Web of Science Core Collection and analyzed the hotspots and frontiers of frailty research in terms of remarkable countries/regions, institutions, cited references, authors, cited journals, burst keywords, and high-frequency keywords using CiteSpace 6.2.R3 software. The PRISMA reporting guidelines were used for this study. Results A collection of 7,093 publications was obtained, showing an increasing trend each year. BMC Geriatrics led in publications, while Journals of Gerontology Series A-Biological Sciences and Medical Sciences dominated in citations. The United States led in centrality and publications, with the University of Pittsburgh as the most productive institution. Leocadio R had the highest publication ranking, while Fried Lp ranked first among cited authors. Keywords in the domain of exercise therapies for frailty are "frailty," "older adult," "physical activity," "exercise," and "mortality," with "sarcopenia" exhibiting the greatest centrality. The keywords formed 19 clusters, namely "#0 older persons," "#1 mortality," "#2 muscle strength," "#3 bone mineral density," "#4 muscle mass," "#5 older adults," "#6 older people," "#7 women's health," "#8 frail elderly," "#9 heart failure," "#10 geriatric assessment," "#11 comprehensive geriatric assessment," "#12 outcm," "#13 alzheimers disease," "#14 quality of life," "#15 health care," "#16 oxidative stress," "#17 physical activity," and "#18 protein." Conclusion This study presents the latest developments and trends in research on frailty exercise intervention treatments over the past 20 years using CiteSpace visualization software. Through systematic analyses, partners, research hotspots and cutting-edge directions were revealed, providing a guiding basis for future research.
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Affiliation(s)
- Wenyuan Xu
- Graduate School, Anhui University of Chinese Medicine, Hefei, China
| | - Xianghu Zhao
- Department of Rehabilitation, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
- College of Sports Medicine, Wuhan Sports University, Wuhan, China
| | - Meiling Zeng
- Normal College, Chengdu University, Chengdu, China
| | - Shengbing Wu
- Graduate School, Anhui University of Chinese Medicine, Hefei, China
- Institute of Acupuncture and Meridian, Anhui Academy of Chinese Medicine, Hefei, China
- Anhui Province Key Laboratory of Meridian Viscera Correlationship, Hefei, China
| | - Yikang He
- Department of Rehabilitation, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Meiqi Zhou
- Graduate School, Anhui University of Chinese Medicine, Hefei, China
- Institute of Acupuncture and Meridian, Anhui Academy of Chinese Medicine, Hefei, China
- Anhui Province Key Laboratory of Meridian Viscera Correlationship, Hefei, China
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Ward D, Flint J, Littlejohns T, Foote I, Canevelli M, Wallace L, Gordon E, Llewellyn D, Ranson J, Hubbard R, Rockwood K, Stolz E. Frailty trajectories preceding dementia: an individual-level analysis of four cohort studies in the United States and United Kingdom. RESEARCH SQUARE 2024:rs.3.rs-4314795. [PMID: 38746437 PMCID: PMC11092835 DOI: 10.21203/rs.3.rs-4314795/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Frailty may represent a modifiable risk factor for dementia, but the direction of that association remains uncertain. We investigated frailty trajectories in the years preceding dementia onset using data from 23,672 participants (242,760 person-years of follow-up, 2,906 cases of incident dementia) across four cohort studies in the United States and United Kingdom. Bayesian non-linear models revealed accelerations in frailty trajectories 4-9 years before incident dementia. Among participants whose time between frailty measurement and incident dementia exceeded that prodromal period, frailty remained positively associated with dementia risk (adjusted hazard ratios ranged from 1.20 [95% confidence interval, CI = 1.15-1.26] to 1.43 [95% CI = 1.14-1.81]). This observational evidence suggests that frailty increases dementia risk independently of any reverse causality. These findings indicate that frailty measurements can be used to identify high-risk population groups for preferential enrolment into clinical trials for dementia prevention and treatment. Frailty itself may represent a useful upstream target for behavioural and societal approaches to dementia prevention.
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Enduru N, Fernandes BS, Zhao Z. Dissecting the shared genetic architecture between Alzheimer's disease and frailty: a cross-trait meta-analyses of genome-wide association studies. Front Genet 2024; 15:1376050. [PMID: 38706793 PMCID: PMC11069310 DOI: 10.3389/fgene.2024.1376050] [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: 01/24/2024] [Accepted: 04/04/2024] [Indexed: 05/07/2024] Open
Abstract
Introduction: Frailty is the most common medical condition affecting the aging population, and its prevalence increases in the population aged 65 or more. Frailty is commonly diagnosed using the frailty index (FI) or frailty phenotype (FP) assessments. Observational studies have indicated the association of frailty with Alzheimer's disease (AD). However, the shared genetic and biological mechanism of these comorbidity has not been studied. Methods: To assess the genetic relationship between AD and frailty, we examined it at single nucleotide polymorphism (SNP), gene, and pathway levels. Results: Overall, 16 genome-wide significant loci (15 unique loci) (p meta-analysis < 5 × 10-8) and 22 genes (21 unique genes) were identified between AD and frailty using cross-trait meta-analysis. The 8 shared loci implicated 11 genes: CLRN1-AS1, CRHR1, FERMT2, GRK4, LINC01929, LRFN2, MADD, RP11-368P15.1, RP11-166N6.2, RNA5SP459, and ZNF652 between AD and FI, and 8 shared loci between AD and FFS implicated 11 genes: AFF3, C1QTNF4, CLEC16A, FAM180B, FBXL19, GRK4, LINC01104, MAD1L1, RGS12, ZDHHC5, and ZNF521. The loci 4p16.3 (GRK4) was identified in both meta-analyses. The colocalization analysis supported the results of our meta-analysis in these loci. The gene-based analysis revealed 80 genes between AD and frailty, and 4 genes were initially identified in our meta-analyses: C1QTNF4, CRHR1, MAD1L1, and RGS12. The pathway analysis showed enrichment for lipoprotein particle plasma, amyloid fibril formation, protein kinase regulator, and tau protein binding. Conclusion: Overall, our results provide new insights into the genetics of AD and frailty, suggesting the existence of non-causal shared genetic mechanisms between these conditions.
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Affiliation(s)
- Nitesh Enduru
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Brisa S. Fernandes
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Zhongming Zhao
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States
- Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, United States
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Buchholz E, Gillespie NA, Hunt JF, Reynolds CA, Rissman RA, Schroeder A, Cortes I, Bell T, Lyons MJ, Kremen WS, Franz CE. Midlife cumulative deficit frailty predicts Alzheimer's disease-related plasma biomarkers in older adults. Age Ageing 2024; 53:afae028. [PMID: 38454901 PMCID: PMC10921085 DOI: 10.1093/ageing/afae028] [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: 07/04/2023] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND The study explores whether frailty at midlife predicts mortality and levels of biomarkers associated with Alzheimer's disease and related dementias (ADRD) and neurodegeneration by early old age. We also examine the heritability of frailty across this age period. METHODS Participants were 1,286 community-dwelling men from the Vietnam Era Twin Study of Aging at average ages 56, 62 and 68, all without ADRD at baseline. The cumulative deficit frailty index (FI) comprised 37 items assessing multiple physiological systems. Plasma biomarkers at age 68 included beta-amyloid (Aβ40, Aβ42), total tau (t-tau) and neurofilament light chain (NfL). RESULTS Being frail doubled the risk of all-cause mortality by age 68 (OR = 2.44). Age 56 FI significantly predicted age 68 NfL (P = 0.014), Aβ40 (P = 0.001) and Aβ42 (P = 0.023), but not t-tau. Age 62 FI predicted all biomarkers at age 68: NfL (P = 0.023), Aβ40 (P = 0.002), Aβ42 (P = 0.001) and t-tau (P = 0.001). Age 68 FI scores were associated with age 68 levels of NfL (P = 0.027), Aβ40 (P < 0.001), Aβ42 (P = 0.001) and t-tau (P = 0.003). Genetic influences accounted for 45-48% of the variance in frailty and significantly contributed to its stability across 11 years. CONCLUSIONS Frailty during one's 50s doubled the risk of mortality by age 68. A mechanism linking frailty and ADRD may be through its associations with biomarkers related to neurodegeneration. Cumulative deficit frailty increases with age but remains moderately heritable across the age range studied. With environmental factors accounting for about half of its variance, early interventions aimed at reducing frailty may help to reduce risk for ADRD.
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Affiliation(s)
- Erik Buchholz
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA 92093, USA
- Department of Information Science, University of Arkansas at Little Rock, Little Rock, AR 72204 USA
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, VA 23298, USA
| | - Jack F Hunt
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA 92093, USA
| | - Chandra A Reynolds
- Department of Psychology, University of California Riverside, Riverside, CA 92521, USA
| | - Robert A Rissman
- Department of Neurosciences, University of California, San Diego and VA San Diego Healthcare System, La Jolla, CA 92093, USA
- Alzheimer’s Therapeutic Research Institute, University of Southern California, San Diego, CA 92121, USA
| | - Angelica Schroeder
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA 92093, USA
| | - Isaac Cortes
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA 92093, USA
| | - Tyler Bell
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA 92093, USA
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA 02215, USA
| | - William S Kremen
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA 92093, USA
| | - Carol E Franz
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA 92093, USA
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Canevelli M, Wallace LMK, Bruno G, Cesari M, Rockwood K, Ward DD. Frailty is associated with the clinical expression of neuropsychological deficits in older adults. Eur J Neurol 2024; 31:e16072. [PMID: 37738515 PMCID: PMC11235878 DOI: 10.1111/ene.16072] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 09/06/2023] [Accepted: 09/07/2023] [Indexed: 09/24/2023]
Abstract
BACKGROUND AND PURPOSE The aim was to determine whether frailty is associated with the relationship between neuropsychological markers and global cognition in older adults. METHODS Cross-sectional analyzes were conducted of baseline data from three large cohort studies: National Alzheimer's Coordinating Center (NACC), Rush Memory and Aging Project (MAP) and Alzheimer's Disease Neuroimaging Initiative (ADNI). Studies recruited North American participants along the spectrum of cognitive functioning (44% no cognitive impairment at baseline). A frailty index was computed in each dataset. Frailty indices, neuropsychological tests (including measures of processing speed, episodic, semantic and working memory) and Mini-Mental State Examination (MMSE) scores were the variables of interest, with age, sex, education and apolipoprotein E ε4 evaluated as confounders. RESULTS Across all studies, 23,819 participants aged 55-104 (57% female) were included in analyzes. Frailty index scores were significantly and inversely associated with MMSE scores and significantly moderated relationships between neuropsychological test scores and MMSE scores. In participants with higher frailty index scores, lower neuropsychological test scores were more strongly associated with lower MMSE scores (standardized interaction coefficients ranged from -0.19 to -1.17 in NACC, -0.03 to -2.27 in MAP and -0.04 to -0.38 in ADNI, depending on the neuropsychological test). These associations were consistent across the different databases and were mostly independent of the composition of frailty indices (i.e., after excluding possible symptoms of dementia). CONCLUSIONS Amongst older Americans, frailty is associated with the cognitive expression of neuropsychological deficits. Implementation of frailty assessment in routine neurological and neuropsychological practice should be considered to optimize care outcomes for older adults.
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Affiliation(s)
- Marco Canevelli
- Department of Human NeuroscienceSapienza UniversityRomeItaly
- Aging Research Center, Department of Neurobiology, Care Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
| | | | - Giuseppe Bruno
- Department of Human NeuroscienceSapienza UniversityRomeItaly
| | - Matteo Cesari
- Department of Clinical Sciences and Community HealthUniversity of MilanMilanItaly
| | - Kenneth Rockwood
- Divisions of Geriatric Medicine, Department of Medicine & NeurologyDalhousie UniversityHalifaxNova ScotiaCanada
- Geriatric Medicine Research, Centre for Health Care of the ElderlyNova Scotia Health AuthorityHalifaxNova ScotiaCanada
- Kathryn Allen Weldon Professor of Alzheimer Research, Department of MedicineDalhousie UniversityHalifaxNova ScotiaCanada
| | - David D. Ward
- Divisions of Geriatric Medicine, Department of Medicine & NeurologyDalhousie UniversityHalifaxNova ScotiaCanada
- Geriatric Medicine Research, Centre for Health Care of the ElderlyNova Scotia Health AuthorityHalifaxNova ScotiaCanada
- Faculty of Medicine, Centre for Health Services ResearchThe University of QueenslandWoolloongabbaQueenslandAustralia
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Bellelli G, Zucchelli A, Benussi A, Pinardi E, Caratozzolo S, Ornago AM, Cosseddu M, Stella V, Turrone R, Massariello F, Marengoni A, Padovani A. Assessing frailty at the centers for dementia and cognitive decline in Italy: potential implications for improving care of older people living with dementia. Neurol Sci 2023; 44:3509-3514. [PMID: 37280476 PMCID: PMC10495473 DOI: 10.1007/s10072-023-06885-8] [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: 03/03/2023] [Accepted: 05/29/2023] [Indexed: 06/08/2023]
Abstract
INTRODUCTION Frailty is strongly associated with the clinical course of cognitive impairment and dementia, thus arguing for the need of its assessment in individuals affected by cognitive deficits. This study aimed to retrospectively evaluate frailty in patients aged 65 years and older referred to two Centers for Cognitive Decline and Dementia (CCDDs). METHODS A total of 1256 patients consecutively referred for a first visit to two CCDDs in Lombardy (Italy) between January 2021 to July 2022 were included. All patients were evaluated by an expert physician in diagnosis and care of dementia according to a standardized clinical protocol. Frailty was assessed using a 24-items Frailty Index (FI) based on routinely collected health records, excluding cognitive decline or dementia, and categorized as mild, moderate, and severe. RESULTS Overall, 40% of patients were affected by mild frailty and 25% of the sample has moderate to severe frailty. The prevalence and severity of frailty increased with decreasing Mini Mental State Examination (MMSE) score and advancing age. Frailty was also detected in 60% of patients with mild cognitive impairment. CONCLUSION Frailty is common in patients referring to CCDDs for cognitive deficits. Its systematic assessment using a FI generated with readily available medical information could help develop appropriate models of assistance and guide personalization of care.
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Affiliation(s)
- G Bellelli
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
- Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900, Monza, Italy.
| | - A Zucchelli
- Department of Clinical and Experimental Sciences, Geriatric Unit, University of Brescia, Brescia, Italy
| | - A Benussi
- Department of Clinical and Experimental Sciences, Neurology Clinic, University of Brescia, Brescia, Italy
| | - E Pinardi
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - S Caratozzolo
- Department of Clinical and Experimental Sciences, Neurology Clinic, University of Brescia, Brescia, Italy
| | - A M Ornago
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - M Cosseddu
- Department of Clinical and Experimental Sciences, Neurology Clinic, University of Brescia, Brescia, Italy
| | - V Stella
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - R Turrone
- Department of Clinical and Experimental Sciences, Neurology Clinic, University of Brescia, Brescia, Italy
| | - F Massariello
- Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900, Monza, Italy
| | - A Marengoni
- Department of Clinical and Experimental Sciences, Geriatric Unit, University of Brescia, Brescia, Italy
| | - A Padovani
- Department of Clinical and Experimental Sciences, Neurology Clinic, University of Brescia, Brescia, Italy
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9
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Baione V, Canevelli M, Belvisi D, Buscarinu MC, Bellucci G, Fantozzi R, Nicoletti CG, Malatuni G, Cortese A, De Giglio L, Tartaglia M, Ferrazzano G, Malimpensa L, Leodori G, Bruno G, Ferraro E, Marfia GA, Centonze D, Salvetti M, Conte A. Frailty and relapse activity in multiple sclerosis: A longitudinal observation. Mult Scler Relat Disord 2023; 72:104603. [PMID: 36905818 DOI: 10.1016/j.msard.2023.104603] [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: 01/04/2023] [Revised: 02/17/2023] [Accepted: 03/02/2023] [Indexed: 03/07/2023]
Abstract
Recent cross-sectional investigations suggest a relationship between frailty, as measured by Frailty Index (FI), and multiple sclerosis (MS). However, if and how frailty is associated with relapse activity in MS is still unknown. To explore this issue, a one-year follow-up study involving 471 patients was conducted. A univariate regression model showed an inverse association between baseline FI score and the presence of relapse, which was also confirmed in the multivariate model. These results suggest that frailty may reflect pathophysiological mechanisms involved in MS disease activity and that the FI may be used as an enrichment criterion in clinical trials.
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Affiliation(s)
- Viola Baione
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Marco Canevelli
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Daniele Belvisi
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy; IRCCS Neuromed, Pozzilli, IS, Italy
| | - Maria Chiara Buscarinu
- Department of Neurosciences, Mental Health, and Sensory Organs (NESMOS), Sapienza, University of Rome, Rome, Italy
| | - Gianmarco Bellucci
- Department of Neurosciences, Mental Health, and Sensory Organs (NESMOS), Sapienza, University of Rome, Rome, Italy
| | | | - Carolina Gabri Nicoletti
- Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | - Giorgia Malatuni
- Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | | | | | - Matteo Tartaglia
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Gina Ferrazzano
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | | | - Giorgio Leodori
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy; IRCCS Neuromed, Pozzilli, IS, Italy
| | - Giuseppe Bruno
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | | | - Girolama Alessandra Marfia
- IRCCS Neuromed, Pozzilli, IS, Italy; Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | - Diego Centonze
- IRCCS Neuromed, Pozzilli, IS, Italy; Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | - Marco Salvetti
- IRCCS Neuromed, Pozzilli, IS, Italy; Department of Neurosciences, Mental Health, and Sensory Organs (NESMOS), Sapienza, University of Rome, Rome, Italy
| | - Antonella Conte
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy; IRCCS Neuromed, Pozzilli, IS, Italy.
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10
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Pan D, Zeng A, Yang B, Lai G, Hu B, Song X, Jiang T. Deep Learning for Brain MRI Confirms Patterned Pathological Progression in Alzheimer's Disease. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2204717. [PMID: 36575159 PMCID: PMC9951348 DOI: 10.1002/advs.202204717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 11/29/2022] [Indexed: 06/17/2023]
Abstract
Deep learning (DL) on brain magnetic resonance imaging (MRI) data has shown excellent performance in differentiating individuals with Alzheimer's disease (AD). However, the value of DL in detecting progressive structural MRI (sMRI) abnormalities linked to AD pathology has yet to be established. In this study, an interpretable DL algorithm named the Ensemble of 3-dimensional convolutional neural network (Ensemble 3DCNN) with enhanced parsing techniques is proposed to investigate the longitudinal trajectories of whole-brain sMRI changes denoting AD onset and progression. A set of 2369 T1-weighted images from the multi-centre Alzheimer's Disease Neuroimaging Initiative and Open Access Series of Imaging Studies cohorts are applied to model derivation, validation, testing, and pattern analysis. An Ensemble-3DCNN-based P-score is generated, based on which multiple brain regions, including amygdala, insular, parahippocampal, and temporal gyrus, exhibit early and connected progressive neurodegeneration. Complex individual variability in the sMRI is also observed. This study combining non-invasive sMRI and interpretable DL in detecting patterned sMRI changes confirmed AD pathological progression, shedding new light on predicting AD progression using whole-brain sMRI.
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Affiliation(s)
- Dan Pan
- School of Electronics and InformationGuangdong Polytechnic Normal UniversityGuangzhou510665China
| | - An Zeng
- Faculty of Computers, Guangdong University of TechnologyGuangzhou510006China
| | - Baoyao Yang
- Faculty of Computers, Guangdong University of TechnologyGuangzhou510006China
| | - Gangyong Lai
- Faculty of Computers, Guangdong University of TechnologyGuangzhou510006China
| | - Bing Hu
- Department of RadiologyThe Third Affiliated Hospital of SUN Yat‐sen UniversityGuangzhou510630China
| | - Xiaowei Song
- Clinical Research CentreSurrey Memorial HospitalFraser HealthSurreyBritish ColumbiaV3V 1Z2Canada
| | - Tianzi Jiang
- Brainnetome Center & National Laboratory of Pattern RecognitionInstitute of AutomationChinese Academy of SciencesBeijing100190China
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11
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Visconte C, Golia MT, Fenoglio C, Serpente M, Gabrielli M, Arcaro M, Sorrentino F, Busnelli M, Arighi A, Fumagalli G, Rotondo E, Rossi P, Arosio B, Scarpini E, Verderio C, Galimberti D. Plasma microglial-derived extracellular vesicles are increased in frail patients with Mild Cognitive Impairment and exert a neurotoxic effect. GeroScience 2023:10.1007/s11357-023-00746-0. [PMID: 36725819 PMCID: PMC10400496 DOI: 10.1007/s11357-023-00746-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 01/26/2023] [Indexed: 02/03/2023] Open
Abstract
Extracellular vesicles (EVs) are mediators of cellular communication that can be released by almost all cell types in both physiological and pathological conditions and are present in most biological fluids. Such characteristics make them attractive in the research of biomarkers for age-related pathological conditions. Based on this, the aim of the present study was to examine the changes in EV concentration and size in the context of frailty, a geriatric syndrome associated with a progressive physical and cognitive decline. Specifically, total EVs and neural and microglial-derived EVs (NDVs and MDVs respectively) were investigated in plasma of frail and non-frail controls (CTRL), mild cognitive impairment (MCI) subjects, and in Alzheimer's disease (AD) patients. Results provided evidence that AD patients displayed diminished NDV concentration (3.61 × 109 ± 1.92 × 109 vs 7.16 × 109 ± 4.3 × 109 particles/ml) and showed high diagnostic performance. They are able to discriminate between AD and CTRL with an area under the curve of 0.80, a sensitivity of 78.95% and a specificity of 85.7%, considering the cut-off of 5.27 × 109 particles/ml. Importantly, we also found that MDV concentration was increased in frail MCI patients compared to CTRL (5.89 × 109 ± 3.98 × 109 vs 3.16 × 109 ± 3.04 × 109 particles/ml, P < 0.05) and showed high neurotoxic effect on neurons. MDV concentration discriminate frail MCI vs non-frail CTRL (AUC = 0.76) with a sensitivity of 80% and a specificity of 70%, considering the cut-off of 2.69 × 109 particles/ml. Altogether, these results demonstrated an alteration in NDV and MDV release during cognitive decline, providing important insight into the role of EVs in frailty status.
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Affiliation(s)
- C Visconte
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - M T Golia
- CNR, Institute of Neuroscience, Vedano al Lambro, Monza and Brianza, Milan, Italy
| | - C Fenoglio
- Department of Physiopathology and Transplantation, University of Milan, "Dino Ferrari" Center, Milan, Italy.
| | - M Serpente
- Fondazione, IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - M Gabrielli
- CNR, Institute of Neuroscience, Vedano al Lambro, Monza and Brianza, Milan, Italy
| | - M Arcaro
- Fondazione, IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - F Sorrentino
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - M Busnelli
- CNR, Institute of Neuroscience, Vedano al Lambro, Monza and Brianza, Milan, Italy
| | - A Arighi
- Fondazione, IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - G Fumagalli
- Fondazione, IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - E Rotondo
- Fondazione, IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - P Rossi
- Fondazione, IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - B Arosio
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - E Scarpini
- Fondazione, IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - C Verderio
- CNR, Institute of Neuroscience, Vedano al Lambro, Monza and Brianza, Milan, Italy
| | - D Galimberti
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.,Fondazione, IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
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12
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Engvig A, Maglanoc LA, Doan NT, Westlye LT. Data-driven health deficit assessment improves a frailty index's prediction of current cognitive status and future conversion to dementia: results from ADNI. GeroScience 2023; 45:591-611. [PMID: 36260263 PMCID: PMC9886733 DOI: 10.1007/s11357-022-00669-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 10/02/2022] [Indexed: 02/03/2023] Open
Abstract
Frailty is a dementia risk factor commonly measured by a frailty index (FI). The standard procedure for creating an FI requires manually selecting health deficit items and lacks criteria for selection optimization. We hypothesized that refining the item selection using data-driven assessment improves sensitivity to cognitive status and future dementia conversion, and compared the predictive value of three FIs: a standard 93-item FI was created after selecting health deficit items according to standard criteria (FIs) from the ADNI database. A refined FI (FIr) was calculated by using a subset of items, identified using factor analysis of mixed data (FAMD)-based cluster analysis. We developed both FIs for the ADNI1 cohort (n = 819). We also calculated another standard FI (FIc) developed by Canevelli and coworkers. Results were validated in an external sample by pooling ADNI2 and ADNI-GO cohorts (n = 815). Cluster analysis yielded two clusters of subjects, which significantly (pFDR < .05) differed on 26 health items, which were used to compute FIr. The data-driven subset of items included in FIr covered a range of systems and included well-known frailty components, e.g., gait alterations and low energy. In prediction analyses, FIr outperformed FIs and FIc in terms of baseline cognition and future dementia conversion in the training and validation cohorts. In conclusion, the data show that data-driven health deficit assessment improves an FI's prediction of current cognitive status and future dementia, and suggest that the standard FI procedure needs to be refined when used for dementia risk assessment purposes.
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Affiliation(s)
- Andreas Engvig
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
- Department of Nephrology, Oslo University Hospital, Oslo, Ullevål, Norway.
| | - Luigi A Maglanoc
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- University Center for Information Technology, University of Oslo, Oslo, Norway
| | - Nhat Trung Doan
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lars T Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
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13
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Okahara K, Ohsawa M, Haruta-Tsukamoto A, Miyoshi R, Funahashi H, Fukutani Y, Makita S, Matsuo H, Ishida Y. Frailty Improvement by Multicomponent Drug, Ninjin'Yoeito, in Mild Cognitive Impairment and Mild Alzheimer's Disease Patients: An Open-Label Exploratory Study (FRAMINGO). J Alzheimers Dis Rep 2023; 7:107-117. [PMID: 36891253 PMCID: PMC9986705 DOI: 10.3233/adr-220074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 01/02/2023] [Indexed: 01/25/2023] Open
Abstract
Background Alzheimer's disease (AD) and dementia have increasingly been conceived of as "complex diseases of aging", determined by multiple, simultaneous, interacting pathophysiological processes. The condition known as frailty is a phenotype of aging and its comprehensive pathophysiology is thought to be closely related to the incidence of mild cognitive impairment (MCI) and the exacerbation of dementia. Objective This study aimed to investigate the effect of the multicomponent drug, ninjin'yoeito (NYT), on frailty in MCI and mild AD patients. Methods This study was an open-label trial. A total of 14 patients, including 9 with MCI and 5 with mild AD, were enrolled. Among them, 11 were frail while 3 were prefrail. NYT (6-9 g/day) was administered orally for 24 weeks, and assessments were carried out at baseline (week 0), and at 4, 8, 16, and 24 weeks. Results In the primary endpoint, significant early improvements were observed in the anorexia scores according to the Neuropsychiatric Inventory after four weeks of treatment with NYT. The Cardiovascular Health Study score was significantly improved, and no frailty was observed after 24 weeks. The fatigue visual analog scale scores also significantly improved. The Clinical Dementia Rating and the Montreal Cognitive Assessment scores remained at baseline levels during the NYT treatment period. Conclusion The results suggest that NYT may be effective in the treatment of frailty, especially for anorexia and fatigue, in both MCI and mild AD patients, which would be beneficial for the prognosis of dementia.
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Affiliation(s)
| | | | - Ayaka Haruta-Tsukamoto
- Department of Psychiatry, Faculty of Medicine, University of Miyazaki, Miyazaki-city, Miyazaki, Japan
| | - Ryoei Miyoshi
- Department of Psychiatry, Faculty of Medicine, University of Miyazaki, Miyazaki-city, Miyazaki, Japan.,Heartopia Miyoshi Clinic, Miyazaki-city, Miyazaki, Japan
| | - Hideki Funahashi
- Department of Psychiatry, Faculty of Medicine, University of Miyazaki, Miyazaki-city, Miyazaki, Japan
| | | | | | - Hisae Matsuo
- Department of Psychiatry, Faculty of Medicine, University of Miyazaki, Miyazaki-city, Miyazaki, Japan.,Center for Health Sciences and Counseling, Kyushu University, Nishi-ku, Fukuoka, Japan
| | - Yasushi Ishida
- Department of Psychiatry, Faculty of Medicine, University of Miyazaki, Miyazaki-city, Miyazaki, Japan
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14
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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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15
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Frailty and functional brain connectivity (FBC) in older adults with mild cognitive impairment (MCI): baseline results from the SYNERGIC Trial. GeroScience 2022; 45:1033-1048. [PMID: 36539590 PMCID: PMC9767804 DOI: 10.1007/s11357-022-00702-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 11/22/2022] [Indexed: 12/24/2022] Open
Abstract
Functional brain connectivity (FBC), or areas that are anatomically separate but temporally synchronized in their activation, represent a sensitive biomarker for monitoring dementia progression. It is unclear whether frailty is associated with FBC in those at higher risk of progression to dementia (e.g., mild cognitive impairment -MCI-) and if sex plays a role. We used baseline data from the SYNERGIC trial, including participants with MCI that received brain MRI. In this cross-sectional analyses (n = 100), we measured frailty using a deficit accumulation frailty index. Using the CONN toolbox, we assessed FBC of networks and regions of interest across the entire connectome. We used Pearson's correlation to investigate the relationship between FBC and frailty index in the full sample and by sex. We also divided the full sample and each sex into tertiles based upon their frailty index score and then assessed between-tertile differences in FBC. The full sample (cluster: size = 291 p-FDR < 0.05) and males (cluster: size = 993 and 451 p-FDR < 0.01) demonstrated that increasing (stronger) connectivity between the right hippocampus and clusters in the temporal gyrus was positively correlated with increasing (worse) frailty. Males also demonstrated between-tertile differences in right hippocampus connectivity to clusters in the lateral occipital cortex (cluster: size = 289 p-FDR < 0.05). Regardless of frailty status, females demonstrated stronger within-network connectivity of the Default-Mode (p = 0.024). Our results suggest that increasing (worse) frailty was associated with increasing (stronger) connectivity between regions not typically linked, which may reflect a compensation tactic by the plastic brain. Furthermore, the relationship between the two variables appears to differ by sex. Our results may help elucidate why specific individuals progress to a dementia syndrome. NCT02808676. https://www.clinicaltrials.gov/ct2/show/NCT02808676.
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16
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Potential association between frailty and pTau in community-dwelling older adults. BMC Geriatr 2022; 22:770. [PMID: 36162981 PMCID: PMC9511781 DOI: 10.1186/s12877-022-03454-0] [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: 04/24/2022] [Accepted: 09/14/2022] [Indexed: 11/10/2022] Open
Abstract
Background Frailty is a geriatric syndrome characterized by a decline in physiological reserves, and multiple factors contribute to the occurrence and development of frailty. Growing evidence supports a strong link and overlap between frailty and cognitive impairment, but the mechanisms involved have not yet been fully elucidated. Aim To identify associations between 12 plasma cognition-related biomarkers and frailty in community-dwelling older adults. Methods A total of 375 participants (age 70.9 ± 5.8, 165 men and 210 women) were included in this study. Frailty was assessed using the modified Fried frailty phenotype. Participants were divided into not-frail group (n = 313) and frail group (n = 62). Twelve plasma cognitive biomarkers were detected by enzyme-linked immunosorbent assay (ELISA). Multinomial logistic regression was used to explore the association between different biomarkers and frailty status. Results Among the 12 biomarkers, only pTau was higher in frail individuals than in their not-frail peers (471.3 ± 58.1 pg/mL vs. 451.9 ± 61.1 pg/mL, p = 0.022). No other biomarkers had any significant association with frailty, including total-Tau (tTau), neurofilament light (NFL), amyloid-β 40 (Aβ40), amyloid-β 40 (Aβ42), S100 calcium binding protein B (S100B), visinin-like protein 1 (VLP-1), Alzheimer-associated neuronal thread protein (AD7cNTP), β-amyloid precursor protein (βAPP), chitinase-3-like-1 (CHI3L1), soluble complement receptor 1 (sCR1) and heart-type fatty acid binding protein (hFABP). Furthermore, pTau was compared between negative and positive subject groups for each individual criterion of frailty. Significantly higher levels of pTau were observed in those who were positive for the criteria of low grip strength (451.2 ± 61.4 pg/mL vs. 469.1 ± 57.6 pg/mL, p = 0.019), exhaustion (451.2 ± 61.6 pg/mL vs. 466.4 ± 58.4 pg/mL, p = 0.035) and low physical activity (451.1 ± 60.7 pg/mL vs. 465.7 ± 60.7 pg/mL, p = 0.034) when compared to those who were negative for each corresponding criterion. Finally, in the multivariable-adjusted analysis, the association between pTau and frailty was statistically significantly associated (OR: 1.40, 95% CI: 1.04–1.89), even after adjusting. Conclusions The present study found a potential association between pTau and frailty. Future works should monitor the longitudinal trajectory of changes of pTau concentrations in frailty older adults. A better understanding of the molecular mechanisms behind will contribute to biomarker research in frailty.
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17
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Association between the frailty index and vascular brain damage: The Treviso Dementia (TREDEM) registry. Exp Gerontol 2022; 167:111894. [PMID: 35843350 DOI: 10.1016/j.exger.2022.111894] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 07/10/2022] [Accepted: 07/11/2022] [Indexed: 11/21/2022]
Abstract
PURPOSE An association between frailty and vascular brain damage (VBD) has been described in older adults. However, most studies have identified frailty according to the phenotypic model. It is less clear whether frailty, operationalized as an accumulation of health deficits, is associated with the presence and severity of VBD. The present study was therefore undertaken to verify whether a 50-item frailty index (FI) is related to VBD in a large and relatively unselected cohort of attendees of a memory clinic. MATERIALS AND METHODS The TREDEM (Treviso Dementia) registry includes retrospective observational data of 1584 participants. A modified FI was calculated from 50 variables comprising diseases, disability, behavioral disorders, and blood biochemistry. The presence and severity of VBD, including leukoaraiosis, lacunes, larger infarctions and the hierarchical vascular rating scale (HVRS), were determined based on brain computerized tomography imaging. Multiple logistic regression models were built according to the stepwise method. RESULTS Mean age of the 1584 participants was 79.6 ± 7.5 years and 1033 (65.2 %) were females. The average number of health deficits was 11.6 ± 6.2, corresponding to an FI of 0.23 ± 0.12 (range: 0.00-0.56). Each 0.01-point increase in the FI was associated with an increased probability of leukoaraiosis (+2.3 %) and severe leukoaraiosis (+5 %), lacunas in the basal ganglia (+1.73 %), occipital lobes (+2.7 %), parietal lobes (+3 %), frontal lobes (+3.6 %), temporal lobes (+4.2 %), and thalamus (+4.4 %). Moreover, an increase of 0.01 points in the FI was associated with a 3.1 % increase in the probability of HVRS score (≥2). CONCLUSION An FI based on routine clinical and laboratory variables was associated with the presence, degree, and some localizations of VBD in a population of older adults with cognitive decline. This frailty assessment tool may therefore be used to identify individuals at risk of developing cerebrovascular disease and, consequently, to implement strategies for vascular risk factor control.
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18
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Ward DD, Ranson JM, Wallace LMK, Llewellyn DJ, Rockwood K. Frailty, lifestyle, genetics and dementia risk. J Neurol Neurosurg Psychiatry 2022; 93:343-350. [PMID: 34933996 PMCID: PMC8921595 DOI: 10.1136/jnnp-2021-327396] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 11/22/2021] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To optimise dementia prevention strategies, we must understand the complex relationships between lifestyle behaviours, frailty and genetics. METHODS We explored relationships between frailty index, healthy lifestyle and polygenic risk scores (all assessed at study entry) and incident all-cause dementia as recorded on hospital admission records and death register data. RESULTS The analytical sample had a mean age of 64.1 years at baseline (SD=2.9) and 53% were women. Incident dementia was detected in 1762 participants (median follow-up time=8.0 years). High frailty was associated with increased dementia risk independently of genetic risk (HR 3.68, 95% CI 3.11 to 4.35). Frailty mediated 44% of the relationship between healthy lifestyle behaviours and dementia risk (indirect effect HR 0.95, 95% CI 0.95 to 0.96). Participants at high genetic risk and with high frailty had 5.8 times greater risk of incident dementia compared with those at low genetic risk and with low frailty (HR 5.81, 95% CI 4.01 to 8.42). Higher genetic risk was most influential in those with low frailty (HR 1.31, 95% CI 1.22 to 1.40) but not influential in those with high frailty (HR 1.09, 95% CI 0.92 to 1.28). CONCLUSION Frailty is strongly associated with dementia risk and affects the risk attributable to genetic factors. Frailty should be considered an important modifiable risk factor for dementia and a target for dementia prevention strategies, even among people at high genetic risk.
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Affiliation(s)
- David D Ward
- Geriatric Medicine Research, Centre for Health Care of the Eldery, Nova Scotia Health Authority, Halifax, Nova Scotia, Canada.,Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Janice M Ranson
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Lindsay M K Wallace
- Geriatric Medicine Research, Centre for Health Care of the Eldery, Nova Scotia Health Authority, Halifax, Nova Scotia, Canada.,Department of Public Health and Primary Care, Cambridge Institute of Public Health, University of Cambridge, Cambridge, UK
| | - David J Llewellyn
- College of Medicine and Health, University of Exeter, Exeter, UK.,The Alan Turing Institute, London, UK
| | - Kenneth Rockwood
- Geriatric Medicine Research, Centre for Health Care of the Eldery, Nova Scotia Health Authority, Halifax, Nova Scotia, Canada .,Division of Geriatric Medicine, Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.,Division of Neurology, Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.,Institute of Cardiovascular Science, UCL, London, UK
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19
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Polidori MC, Mecocci P. Modeling the dynamics of energy imbalance: The free radical theory of aging and frailty revisited. Free Radic Biol Med 2022; 181:235-240. [PMID: 35151828 DOI: 10.1016/j.freeradbiomed.2022.02.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 01/15/2022] [Accepted: 02/08/2022] [Indexed: 12/12/2022]
Abstract
The role of oxidative stress in aging and the newly conceptualized vision of frailty is of great interest for the possibility to define a framework able to explain the several modifications observed in all biological molecules along with age. In this review, the impact of oxidative stress is considered in aging processes as well as in frailty, the geriatric concept of declined capacity to cope with any stressor, leading to a status of reduced ability to maintain the homeostatic balance. Although some pharmacological and behavioral approaches have been proposed, we are still lacking efficacious management able to prevent and avoid frailty. This represents a fundamental challenge for future research in this field.
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Affiliation(s)
- Maria Cristina Polidori
- Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
| | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics, Department of Medicine and Surgery, University of Perugia, Perugia Hospital, Building C Floor 4, Piazzale Menghini, 1 - 06132, Perugia, Italy.
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20
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Kulminski AM, Loiko E, Loika Y, Culminskaya I. Pleiotropic predisposition to Alzheimer's disease and educational attainment: insights from the summary statistics analysis. GeroScience 2022; 44:265-280. [PMID: 34743297 PMCID: PMC8572080 DOI: 10.1007/s11357-021-00484-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 10/28/2021] [Indexed: 12/25/2022] Open
Abstract
Epidemiological studies report beneficial associations of higher educational attainment (EDU) with Alzheimer's disease (AD). Prior genome-wide association studies (GWAS) also reported variants associated with AD and EDU separately. The analysis of pleiotropic associations with these phenotypes may shed light on EDU-related protection against AD. We performed pleiotropic meta-analyses using Fisher's method and omnibus test applied to summary statistics for single nucleotide polymorphisms (SNPs) associated with AD and EDU in large-scale univariate GWAS at suggestive-effect (5 × 10-8 < p < 0.1) and genome-wide (p ≤ 5 × 10-8) significance levels. We report 53 SNPs that attained p ≤ 5 × 10-8 at least in one of the pleiotropic meta-analyses and were reported in the univariate GWAS at 5 × 10-8 < p < 0.1. Of them, there were 46 pleiotropic SNPs according to Fisher's method. Additionally, Fisher's method identified 25 of 206 SNPs with pleiotropic effects, which attained p ≤ 5 × 10-8 in the univariate GWAS. We showed that a large fraction of the pleiotropic associations was affected by a counterintuitive phenomenon of antagonistic genetic heterogeneity, which explains the increase, rather than decrease, of the significance of the pleiotropic associations in the omnibus test. Functional enrichment analysis showed that apart from cancers, gene set harboring the non-pleiotropic SNPs was characterized by late-onset AD and neurodevelopmental disorders. The pleiotropic gene set was characterized by a broad spectrum of progressive neurological and neuromuscular diseases and immune-mediated conditions, including progressive motor neuropathy, multiple sclerosis, Parkinson's disease, and severe AD. Our results suggest that disentangling genes harboring variants with and without pleiotropic associations with AD and EDU is promising for dissecting heterogeneity in biological mechanisms of AD.
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Affiliation(s)
- Alexander M Kulminski
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA.
| | - Elena Loiko
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA
| | - Yury Loika
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA
| | - Irina Culminskaya
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA
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21
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Ponirakis G, Hamad HA, Khan A, Petropoulos IN, Gad H, Chandran M, Elsotouhy A, Ramadan M, Gawhale PV, Elorrabi M, Gadelseed M, Tosino R, Arasn A, Manikoth P, Abdelrahim YH, Refaee MA, Thodi N, Vattoth S, Almuhannadi H, Mahfoud ZR, Bhat H, Own A, Shuaib A, Malik RA. Loss of corneal nerves and brain volume in mild cognitive impairment and dementia. ALZHEIMER'S & DEMENTIA: TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS 2022; 8:e12269. [PMID: 35415208 PMCID: PMC8983001 DOI: 10.1002/trc2.12269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 12/20/2021] [Accepted: 01/20/2022] [Indexed: 11/11/2022]
Abstract
Introduction This study compared the capability of corneal confocal microscopy (CCM) with magnetic resonance imaging (MRI) brain volumetry for the diagnosis of mild cognitive impairment (MCI) and dementia. Methods In this cross‐sectional study, participants with no cognitive impairment (NCI), MCI, and dementia underwent assessment of Montreal Cognitive Assessment (MoCA), MRI brain volumetry, and CCM. Results Two hundred eight participants with NCI (n = 42), MCI (n = 98), and dementia (n = 68) of comparable age and gender were studied. For MCI, the area under the curve (AUC) of CCM (76% to 81%), was higher than brain volumetry (52% to 70%). For dementia, the AUC of CCM (77% to 85%), was comparable to brain volumetry (69% to 93%). Corneal nerve fiber density, length, branch density, whole brain, hippocampus, cortical gray matter, thalamus, amygdala, and ventricle volumes were associated with cognitive impairment after adjustment for confounders (All P’s < .01). Discussion The diagnostic capability of CCM compared to brain volumetry is higher for identifying MCI and comparable for dementia, and abnormalities in both modalities are associated with cognitive impairment.
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Affiliation(s)
- Georgios Ponirakis
- Department of Medicine Weill Cornell Medicine‐Qatar Qatar Foundation Doha Qatar
| | - Hanadi Al Hamad
- Geriatric & Memory Clinic Rumailah Hospital Hamad Medical Corporation Doha Qatar
| | - Adnan Khan
- Department of Medicine Weill Cornell Medicine‐Qatar Qatar Foundation Doha Qatar
| | | | - Hoda Gad
- Department of Medicine Weill Cornell Medicine‐Qatar Qatar Foundation Doha Qatar
| | - Mani Chandran
- Geriatric & Memory Clinic Rumailah Hospital Hamad Medical Corporation Doha Qatar
| | - Ahmed Elsotouhy
- Department of Medicine Weill Cornell Medicine‐Qatar Qatar Foundation Doha Qatar
- Neuroradiology Hamad General Hospital Hamad Medical Corporation Doha Qatar
| | - Marwan Ramadan
- Geriatric & Memory Clinic Rumailah Hospital Hamad Medical Corporation Doha Qatar
| | - Priya V. Gawhale
- Geriatric & Memory Clinic Rumailah Hospital Hamad Medical Corporation Doha Qatar
| | - Marwa Elorrabi
- Geriatric & Memory Clinic Rumailah Hospital Hamad Medical Corporation Doha Qatar
| | - Masharig Gadelseed
- Geriatric & Memory Clinic Rumailah Hospital Hamad Medical Corporation Doha Qatar
| | - Rhia Tosino
- Geriatric & Memory Clinic Rumailah Hospital Hamad Medical Corporation Doha Qatar
| | - Anjum Arasn
- Geriatric & Memory Clinic Rumailah Hospital Hamad Medical Corporation Doha Qatar
| | - Pravija Manikoth
- Geriatric & Memory Clinic Rumailah Hospital Hamad Medical Corporation Doha Qatar
| | | | - Mahmoud A Refaee
- Geriatric & Memory Clinic Rumailah Hospital Hamad Medical Corporation Doha Qatar
| | - Noushad Thodi
- MRI Unit Rumailah Hospital Hamad Medical Corporation Doha Qatar
| | - Surjith Vattoth
- Radiology University of Arkansas for Medical Sciences Arkansas USA
| | - Hamad Almuhannadi
- Department of Medicine Weill Cornell Medicine‐Qatar Qatar Foundation Doha Qatar
| | - Ziyad R. Mahfoud
- Department of Medicine Weill Cornell Medicine‐Qatar Qatar Foundation Doha Qatar
| | - Harun Bhat
- Department of Medicine Weill Cornell Medicine‐Qatar Qatar Foundation Doha Qatar
| | - Ahmed Own
- Neuroradiology Hamad General Hospital Hamad Medical Corporation Doha Qatar
| | - Ashfaq Shuaib
- Department of Medicine University of Alberta Alberta Canada
| | - Rayaz A. Malik
- Department of Medicine Weill Cornell Medicine‐Qatar Qatar Foundation Doha Qatar
- Faculty of Biology Medicine and Health University of Manchester Manchester UK
- Faculty of Science and Engineering Manchester Metropolitan University Manchester UK
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22
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Belvisi D, Canevelli M, Costanzo M, Giangrosso M, Fabbrini A, Borraccino A, Bruno G, Berardelli A, Fabbrini G. The role of frailty in Parkinson's disease: a cross-sectional study. J Neurol 2021; 269:3006-3014. [PMID: 34791518 DOI: 10.1007/s00415-021-10873-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 10/21/2021] [Accepted: 10/21/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Frailty is an age-related state of increased risk for health-related adverse outcomes that reflects multisystem physiological changes and likely influences the clinical expression and disease progression of neurodegenerative disorders. The aim of the present study was to assess the potential relationship between frailty, as assessed by a frailty index (FI), and motor symptom severity, motor subtypes, and non-motor domains in Parkinson's disease (PD). METHODS We consecutively enrolled 150 PD patients. We administered an FI specifically designed for PD that included 50 age-related multidimensional biological deficits. Patients underwent a clinical assessment that evaluated motor and non-motor manifestations of PD. Using the FI score, we classified PD patients as relatively fit (FI ≤ 0.10), less fit (0.10 < FI ≤ 0.21), or frail (FI > 0.21). A linear regression model was designed to explore possible associations between frailty level and PD motor and non-motor manifestations. RESULTS Frail patients showed greater motor symptom severity and motor complications than fitter patients. A trend towards a higher prevalence of the postural instability/gait disorder subtype was also observed in frail versus relatively fit and less fit patients. The global burden of non-motor symptoms was higher in frail patients. Increased frailty was associated with more severe motor and non-motor symptoms, as well as with more pronounced cognitive deficits. These associations remained significant even when "traditional" predictors of PD severity (age, disease duration, and levodopa equivalent daily dose) were considered. CONCLUSIONS The present findings indicate that the FI is associated with both motor and non-motor features of PD.
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Affiliation(s)
- Daniele Belvisi
- Department of Human Neuroscience, Sapienza University of Rome, Viale dell'Università 30, 00185, Rome, Italy
- IRCCS Neuromed, via Atinense 18, 86077, Pozzilli, IS, Italy
| | - Marco Canevelli
- Department of Human Neuroscience, Sapienza University of Rome, Viale dell'Università 30, 00185, Rome, Italy
- National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Viale Regina Elena 299, 00161, Rome, Italy
| | - Matteo Costanzo
- Department of Human Neuroscience, Sapienza University of Rome, Viale dell'Università 30, 00185, Rome, Italy
| | - Margherita Giangrosso
- Department of Human Neuroscience, Sapienza University of Rome, Viale dell'Università 30, 00185, Rome, Italy
| | - Andrea Fabbrini
- Department of Human Neuroscience, Sapienza University of Rome, Viale dell'Università 30, 00185, Rome, Italy
| | - Andrea Borraccino
- Department of Human Neuroscience, Sapienza University of Rome, Viale dell'Università 30, 00185, Rome, Italy
| | - Giuseppe Bruno
- Department of Human Neuroscience, Sapienza University of Rome, Viale dell'Università 30, 00185, Rome, Italy
| | - Alfredo Berardelli
- Department of Human Neuroscience, Sapienza University of Rome, Viale dell'Università 30, 00185, Rome, Italy
- IRCCS Neuromed, via Atinense 18, 86077, Pozzilli, IS, Italy
| | - Giovanni Fabbrini
- Department of Human Neuroscience, Sapienza University of Rome, Viale dell'Università 30, 00185, Rome, Italy.
- IRCCS Neuromed, via Atinense 18, 86077, Pozzilli, IS, Italy.
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23
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Higgins-Chen AT, Thrush KL, Levine ME. Aging biomarkers and the brain. Semin Cell Dev Biol 2021; 116:180-193. [PMID: 33509689 PMCID: PMC8292153 DOI: 10.1016/j.semcdb.2021.01.003] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 01/18/2021] [Accepted: 01/19/2021] [Indexed: 12/15/2022]
Abstract
Quantifying biological aging is critical for understanding why aging is the primary driver of morbidity and mortality and for assessing novel therapies to counter pathological aging. In the past decade, many biomarkers relevant to brain aging have been developed using various data types and modeling techniques. Aging involves numerous interconnected processes, and thus many complementary biomarkers are needed, each capturing a different slice of aging biology. Here we present a hierarchical framework highlighting how these biomarkers are related to each other and the underlying biological processes. We review those measures most studied in the context of brain aging: epigenetic clocks, proteomic clocks, and neuroimaging age predictors. Many studies have linked these biomarkers to cognition, mental health, brain structure, and pathology during aging. We also delve into the challenges and complexities in interpreting these biomarkers and suggest areas for further innovation. Ultimately, a robust mechanistic understanding of these biomarkers will be needed to effectively intervene in the aging process to prevent and treat age-related disease.
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Affiliation(s)
- Albert T Higgins-Chen
- Department of Psychiatry, Yale University School of Medicine, 300 George St, Suite 901, New Haven, CT 06511, USA.
| | - Kyra L Thrush
- Program in Computational Biology and Bioinformatics, Yale University, 300 George St, Suite 501, New Haven, CT 06511, USA.
| | - Morgan E Levine
- Department of Pathology, Yale University School of Medicine, 310 Cedar Street, Suite LH 315A, New Haven, CT 06520, USA.
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24
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Quattropani MC, Sardella A, Morgante F, Ricciardi L, Alibrandi A, Lenzo V, Catalano A, Squadrito G, Basile G. Impact of Cognitive Reserve and Premorbid IQ on Cognitive and Functional Status in Older Outpatients. Brain Sci 2021; 11:824. [PMID: 34206258 PMCID: PMC8301973 DOI: 10.3390/brainsci11070824] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 06/18/2021] [Accepted: 06/20/2021] [Indexed: 11/29/2022] Open
Abstract
The study aimed to investigate cross-sectionally the associations of cognitive reserve (CR) and premorbid IQ with cognitive and functional status in a cohort of older outpatients. Additionally, we evaluated the association of CR and premorbid IQ with the worsening of patients' cognitive status at one-year follow-up. We originally included 141 outpatients (mean age 80.31 years); a telephone-based cognitive follow-up was carried out after one year, including 104 subjects (mean age 80.26 years). CR (β = 0.418), premorbid IQ (β = 0.271) and handgrip strength (β = 0.287) were significantly associated with the MMSE score. The cognitive worsening at follow-up was associated with lower CR, lower MMSE score, reduced gait speed and frailty exhibited at baseline. Univariate linear regressions showed that CR was associated with handgrip strength (β = 0.346), gait speed (β = 0.185), autonomy in basic (β = 0.221) and instrumental (β = 0.272) daily activities, and frailty (β = -0.290); premorbid IQ was significantly associated with autonomy in instrumental daily activities (β = 0.211). These findings highlight the need for integrating CR and premorbid IQ with physical and motor measures when appraising predictors of cognitive decline in the elderly population. The study also newly extends the link of CR and premorbid IQ to the functional status in older adults.
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Affiliation(s)
- Maria C. Quattropani
- Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy; (M.C.Q.); (F.M.); (A.C.); (G.S.); (G.B.)
| | - Alberto Sardella
- Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy; (M.C.Q.); (F.M.); (A.C.); (G.S.); (G.B.)
| | - Francesca Morgante
- Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy; (M.C.Q.); (F.M.); (A.C.); (G.S.); (G.B.)
- Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George’s University of London, London SW17 0RE, UK;
| | - Lucia Ricciardi
- Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George’s University of London, London SW17 0RE, UK;
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, Oxford OX1 3TH, UK
| | - Angela Alibrandi
- Unit of Statistical and Mathematical Science, Department of Economics, University of Messina, 98123 Messina, Italy;
| | - Vittorio Lenzo
- Department of Social and Educational Sciences of the Mediterranean Area, “Dante Alighieri” University for Foreigners of Reggio Calabria, 89125 Reggio Calabria, Italy;
| | - Antonino Catalano
- Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy; (M.C.Q.); (F.M.); (A.C.); (G.S.); (G.B.)
| | - Giovanni Squadrito
- Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy; (M.C.Q.); (F.M.); (A.C.); (G.S.); (G.B.)
| | - Giorgio Basile
- Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy; (M.C.Q.); (F.M.); (A.C.); (G.S.); (G.B.)
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25
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Jiao F, Varghese K, Wang S, Liu Y, Yu H, Booz GW, Roman RJ, Liu R, Fan F. Recent Insights Into the Protective Mechanisms of Paeoniflorin in Neurological, Cardiovascular, and Renal Diseases. J Cardiovasc Pharmacol 2021; 77:728-734. [PMID: 34001724 PMCID: PMC8169546 DOI: 10.1097/fjc.0000000000001021] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 03/05/2021] [Indexed: 12/12/2022]
Abstract
ABSTRACT The monoterpene glycoside paeoniflorin (PF) is the principal active constituent of the traditional Chinese herbal medicines, Radix Paeoniae Alba and Radix Paeoniae Rubra, which have been used for millennia to treat cardiovascular diseases (eg, hypertension, bleeding, and atherosclerosis) and neurological ailments (eg, headaches, vertigo, dementia, and pain). Recent evidence has revealed that PF exerts inhibitory effects on inflammation, fibrosis, and apoptosis by targeting several intracellular signaling cascades. In this review, we address the current knowledge about the pharmacokinetic properties of PF and its molecular mechanisms of action. We also present results from recent preclinical studies supporting the utility of PF for the treatment of pain, cerebral ischemic injury, and neurodegenerative diseases, such as Alzheimer's and Parkinson's diseases. Moreover, new evidence suggests a general protective role of PF in heart attack, diabetic kidney, and atherosclerosis. Mechanistically, PF exerts multiple anti-inflammatory actions by targeting toll-like receptor-mediated signaling in both parenchymal and immune cells (in particular, macrophages and dendritic cells). A better understanding of the molecular actions of PF may lead to the expansion of its therapeutic uses.
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Affiliation(s)
- Feng Jiao
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, MS 39216, USA
- Department of Neurosurgery, Peking University People’s Hospital, Beijing, 100044, China
| | - Kevin Varghese
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Shaoxun Wang
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Yedan Liu
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Hongwei Yu
- Department of Anesthesiology, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA
| | - George W. Booz
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Richard J. Roman
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Ruen Liu
- Department of Neurosurgery, Peking University People’s Hospital, Beijing, 100044, China
| | - Fan Fan
- Department of Pharmacology and Toxicology, University of Mississippi Medical Center, Jackson, MS 39216, USA
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26
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Amanzio M, Palermo S, Stanziano M, D'Agata F, Galati A, Gentile S, Castellano G, Bartoli M, Cipriani GE, Rubino E, Fonio P, Rainero I. Investigating Neuroimaging Correlates of Early Frailty in Patients With Behavioral Variant Frontotemporal Dementia: A MRI and FDG-PET Study. Front Aging Neurosci 2021; 13:637796. [PMID: 33935684 PMCID: PMC8079404 DOI: 10.3389/fnagi.2021.637796] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 02/19/2021] [Indexed: 01/20/2023] Open
Abstract
Frailty is a dynamic clinical condition characterized by the reduction of interconnections among different psychobiological domains, which leads to a homeostatic vulnerability. The association between physical frailty and cognitive dysfunctions is a possible predictor of poor prognosis in patients with neurodegenerative disorders. However, this construct has not been fully analyzed by a multidimensional neuropsychogeriatric assessment matched with multimodal neuroimaging methods in patients with behavioral variant frontotemporal dementia (bvFTD). We have investigated cognitive dysfunctions and frailty status, assessed by both a neuropsychological evaluation and the Multidimensional Prognostic Index (MPI), in a sample of 18 bvFTD patients and compared to matched healthy controls. Gray matter (GM) volume (as assessed by voxel-based morphometry) and metabolism (on 18fluorodeoxyglucose positron emission tomography) were first separately compared between groups, then voxelwise compared and correlated to each other within patients. Linear regression of the MPI was performed on those voxels presenting a significant correlation between altered GM volume and metabolism. The neuropsychological assessment reflected the diagnoses and the functional-anatomical alterations documented by neuroimaging analyses. In particular, the majority of patients presented significant executive dysfunction and mood changes in terms of apathy, depression, and anxiety. In the overall MPI score, the patients fell in the lower range (indicating an early frailty status). On imaging, they exhibited a bilateral decrease of GM density and hypometabolism involving the frontal pole, the anterior opercular region, and the anterior cingulate cortex. Greater atrophy than hypometabolism was observed in the bilateral orbitofrontal cortex, the triangular part of the inferior frontal gyrus, and the ventral striatum, whereas the contrary was detected in the bilateral dorsal anterior cingulate cortex and pre-supplementary motor area. MPI scores significantly correlated only with the co-occurrence of a decrease of GM density and hypometabolism in the right anterior insular cortex, but not with the separate pathological phenomena. Our results show a correlation between a specific pattern of co-occurring GM atrophy and hypometabolism with early frailty in bvFTD patients. These aspects, combined with executive dysfunction and mood changes, may lead to an increased risk of poor prognosis, highlighting a potentially critical and precocious role of the insula in the pathogenesis of frailty.
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Affiliation(s)
- Martina Amanzio
- Department of Psychology, University of Turin, Turin, Italy
- European Innovation Partnership on Active and Healthy Ageing (EIP-AHA), Brussels, Belgium
- Centro Interdipartimentale di Studi Avanzati in Neuroscienze - National Institute of Turin (NIT), Orbassano, Italy
| | - Sara Palermo
- Department of Psychology, University of Turin, Turin, Italy
- European Innovation Partnership on Active and Healthy Ageing (EIP-AHA), Brussels, Belgium
| | - Mario Stanziano
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico “Carlo Besta,”Milan, Italy
- Department of Neuroscience “Rita Levi Montalcini,” University of Turin, Turin, Italy
| | - Federico D'Agata
- Neuroradiology Unit, Department of Neuroscience “Rita Levi Montalcini,” University of Turin, Turin, Italy
| | - Antonello Galati
- Nuclear Medicine, Azienda Ospedaliera Universitaria “Città della Salute e della Scienza di Torino,”Turin, Italy
| | - Salvatore Gentile
- Aging Brain and Memory Clinic, Neurology I, Department of Neuroscience “Rita Levi Montalcini,” University of Turin, Turin, Italy
| | - Giancarlo Castellano
- Neuroradiology Unit, Department of Neuroscience “Rita Levi Montalcini,” University of Turin, Turin, Italy
| | | | | | - Elisa Rubino
- Aging Brain and Memory Clinic, Neurology I, Department of Neuroscience “Rita Levi Montalcini,” University of Turin, Turin, Italy
| | - Paolo Fonio
- Department of Diagnostic Imaging and Radiotherapy, Radiology Institute, Azienda Ospedaliera Universitaria “Città della Salute e della Scienza di Torino,” University of Turin, Turin, Italy
| | - Innocenzo Rainero
- Centro Interdipartimentale di Studi Avanzati in Neuroscienze - National Institute of Turin (NIT), Orbassano, Italy
- Aging Brain and Memory Clinic, Neurology I, Department of Neuroscience “Rita Levi Montalcini,” University of Turin, Turin, Italy
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27
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Zenuni H, Grillo P, Sancesario GM, Bernardini S, Mercuri NB, Schirinzi T. How Comorbidity Reflects on Cerebrospinal Fluid Biomarkers of Neurodegeneration in Aging. J Alzheimers Dis Rep 2021; 5:87-92. [PMID: 33681720 PMCID: PMC7902985 DOI: 10.3233/adr-200280] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/29/2020] [Indexed: 12/23/2022] Open
Abstract
Systemic comorbidity precipitates the risk for dementia. To comprehend the underlying mechanisms into a therapeutic perspective, we analyzed how comorbidity affects neurodegeneration-related cerebrospinal fluid (CSF) biomarkers of 55 cognitively intact subjects. The Charson Comorbidity Index (CCI) was correlated with CSF amyloid-β42 (Aβ42), amyloid-β40, total-tau, 181-phosphorylated-tau (p-tau), the Aβ42/p-tau ratio, neurogranin, and lactate. The age-related brain lesions at imaging were also considered. CCI had a raw association with Aβ42/p-tau and p-tau, and a stronger, age-independent correlation with lactate. These preliminary findings suggested that, in normal subjects, systemic comorbidity might increase CNS oxidative stress and, together with aging, contribute to develop an Alzheimer's disease-like biochemical profile.
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Affiliation(s)
- Henri Zenuni
- Department of Systems Medicine, University of Roma Tor Vergata, Rome, Italy
| | - Piergiorgio Grillo
- Department of Systems Medicine, University of Roma Tor Vergata, Rome, Italy
| | | | - Sergio Bernardini
- Department of Experimental Medicine, University of Roma Tor Vergata, Rome, Italy
- Department of Clinical Biochemistry, Tor Vergata University Hospital, Rome, Italy
| | - Nicola Biagio Mercuri
- Department of Systems Medicine, University of Roma Tor Vergata, Rome, Italy
- IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Tommaso Schirinzi
- Department of Systems Medicine, University of Roma Tor Vergata, Rome, Italy
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