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Nallapu BT, Ezzati A, Blumen HM, Petersen KK, Lipton RB, Ayers E, Kumar VGP, Velandai S, Beare R, Beauchet O, Doi T, Shimada H, Milman S, Aleksic S, Verghese J. Discovering Subtypes with Imaging Signatures in the Motoric Cognitive Risk Syndrome Consortium using Weakly-Supervised Clustering. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.10.11.24315328. [PMID: 39417143 PMCID: PMC11482983 DOI: 10.1101/2024.10.11.24315328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/19/2024]
Abstract
INTRODUCTION Understanding the heterogeneity of brain structure in individuals with the Motoric Cognitive Risk Syndrome (MCR) may improve the current risk assessments of dementia. METHODS We used data from 6 cohorts from the MCR consortium (N=1987). A weakly-supervised clustering algorithm called HYDRA was applied to volumetric MRI measures to identify distinct subgroups in the population with gait speeds lower than one standard deviation (1SD) above mean. RESULTS Three subgroups (Groups A, B & C) were identified through MRI-based clustering with significant differences in regional brain volumes, gait speeds, and performance on Trail Making (Part-B) and Free and Cued Selective Reminding Tests. DISCUSSION Based on structural MRI, our results reflect heterogeneity in the population with moderate and slow gait, including those with MCR. Such a data-driven approach could help pave new pathways toward dementia at-risk stratification and have implications for precision health for patients.
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Affiliation(s)
- Bhargav Teja Nallapu
- Department of Neurology, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, New York, 10461, USA
| | - Ali Ezzati
- Department of Neurology, University of California, Irvine (UCI), Irvine, 200 S. Manchester Ave. Ste. 206, Orange, California, 92868, USA
| | - Helena M Blumen
- Department of Neurology, Stony Brook University, 101 Nicolls Road, Stony Brook, New York 11794, USA
- Departments of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, New York, 10461, USA
| | - Kellen K Petersen
- Department of Neurology, Washington University in St. Louis, 660 S. Euclid Ave, St. Louis, MO 63110, USA
| | - Richard B Lipton
- Department of Neurology, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, New York, 10461, USA
| | - Emmeline Ayers
- Department of Neurology, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, New York, 10461, USA
| | - V G Pradeep Kumar
- Department of Neurology, Baby Memorial Hospital, Indira Gandhi Road, Kozhikode, Kerala, 673004, India
| | - Srikanth Velandai
- National Centre for Healthy Ageing, 2 Hastings Rd, Frankston VIC 3199, Australia
- School of Translational Medicine, Monash University, 99 Commercial Rd, Melbourne, VIC, 3004, Australia
| | - Richard Beare
- National Centre for Healthy Ageing, 2 Hastings Rd, Frankston VIC 3199, Australia
- Developmental Imaging Group, Murdoch Children's Research Institute, 50 Flemington Rd, Parkville VIC 3052, Australia
| | - Olivier Beauchet
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), 4565, chemin Queen Mary, Montréal QC H3W 1W5, Canada
- Department of Medicine, University of Montreal, C. P. 6128, succursale Centre-ville, Montréal, QC, H3C 3J7, Canada
| | - Takehiko Doi
- Department of Preventive Gerontology, Center for Gerontology and Social Science, Research Institute, National Centre for Geriatrics and Gerontology, 7-430, Morioka-cho, Obu City, 474-8511, Japan
| | - Hiroyuki Shimada
- Department of Preventive Gerontology, Center for Gerontology and Social Science, Research Institute, National Centre for Geriatrics and Gerontology, 7-430, Morioka-cho, Obu City, 474-8511, Japan
| | - Sofiya Milman
- Departments of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, New York, 10461, USA
| | - Sandra Aleksic
- Departments of Medicine, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, New York, 10461, USA
| | - Joe Verghese
- Department of Neurology, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, New York, 10461, USA
- Department of Neurology, Stony Brook University, 101 Nicolls Road, Stony Brook, New York 11794, USA
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Yeo BSY, Chan JH, Tan BKJ, Liu X, Tay L, Teo NWY, Charn TC. Olfactory Impairment and Frailty: A Systematic Review and Meta-Analysis. JAMA Otolaryngol Head Neck Surg 2024; 150:772-783. [PMID: 38990553 PMCID: PMC11240234 DOI: 10.1001/jamaoto.2024.1854] [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: 01/13/2024] [Accepted: 05/10/2024] [Indexed: 07/12/2024]
Abstract
Importance Olfactory impairment (OI) and frailty are prevalent conditions associated with aging, but studies investigating their association with each other have been discordant. Objective To summarize current evidence surrounding the association between OI and frailty. Data Sources PubMed, Embase, Cochrane Library, SCOPUS, and CINAHL from inception to November 28, 2023. Study Selection This study included observational studies investigating the association between objectively or subjectively assessed OI and objectively evaluated frailty among adults. Data Extraction and Synthesis Two independent authors extracted data into a structured template. Maximally adjusted estimates were pooled using a random-effects model, and statistical heterogeneity was evaluated using I2 values. Additional prespecified subgroup and sensitivity analyses were performed. This study used the Newcastle-Ottawa Scale for bias assessment and the Grading of Recommendations Assessment, Development and Evaluation framework for overall evidence quality evaluation. Main Outcomes and Measures The primary outcome was the cross-sectional association between OI and frailty, for which the odds of frailty were compared between participants with and without OI. The secondary outcome was the cross-sectional association between frailty and OI, for which the odds of OI were compared between participants with and without frailty. Results This study included 10 studies with 10 624 patients (52.9% female; mean [SD] age, 62.9 [9.6] years). The Newcastle-Ottawa Scale score of studies ranged from low to moderate. Grading of Recommendations Assessment, Development and Evaluation scores ranged from low to moderate. OI was associated with a 2.32-fold (odds ratio [OR], 2.32; 95% CI, 1.63-3.31; I2 = 0%) greater odds of frailty compared with individuals with healthy olfactory function. The odds of OI was progressively greater with categorical frailty status, with a 1.55-fold (OR, 1.55; 95% CI, 1.32-1.82; I2 = 0%), 2.28-fold (OR, 2.28; 95% CI, 1.96-2.65; I2 = 0%), and 4.67-fold (OR, 4.67; 95% CI, 2.77-7.86; I2 = 0%) increase in odds for individuals with prefrailty, frailty, and the most frailty, respectively, compared with robust individuals. The results demonstrated stability in subgroup analyses (geographical continent of study, objective vs subjective olfactory assessment) and sensitivity tests. Conclusions and Relevance The results of this systematic review and meta-analysis suggest that there is an association between OI and frailty, with an increase in the odds of OI with worsening categorical frailty status among individuals with prefrailty, frailty, and the most frailty. OI may be a potential biomarker for frailty. Future studies could delve into whether OI may be a modifiable risk factor for frailty.
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Affiliation(s)
- Brian Sheng Yep Yeo
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jun He Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Xuandao Liu
- Department of Otorhinolaryngology–Head and Neck Surgery, Singapore General Hospital, Singapore
| | - Laura Tay
- Department of General Medicine, Sengkang General Hospital, Singapore
- SingHealth Duke-NUS Centre of Memory and Cognitive Disorders, Singapore
| | - Neville Wei Yang Teo
- Department of Otorhinolaryngology–Head and Neck Surgery, Singapore General Hospital, Singapore
- Surgery Academic Clinical Programme, Duke-NUS Medical School, Singapore
| | - Tze Choong Charn
- Department of Otorhinolaryngology–Head and Neck Surgery, Singapore General Hospital, Singapore
- Surgery Academic Clinical Programme, Duke-NUS Medical School, Singapore
- Department of Otolaryngology–Head and Neck Surgery, Sengkang General Hospital, Singapore
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Wang J, Liu Y, Jin R, Zhao X, Wu Z, Han Z, Xu Z, Guo X, Tao L. Intraindividual difference in estimated GFR by creatinine and cystatin C, cognitive trajectories and motoric cognitive risk syndrome. Nephrol Dial Transplant 2024; 39:860-872. [PMID: 37930847 DOI: 10.1093/ndt/gfad234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND Intraindividual differences between estimated glomerular filtration rate (eGFR) based on cystatin C (eGFRcys) and creatinine (eGFRcr) can convey important clinical information regarding health status. However, the clinical implications of these differences (eGFRdiff) for risk of cognitive decline and motoric cognitive risk (MCR) syndrome remains unclear. We aimed to investigate the longitudinal associations of eGFRdiff with cognitive trajectories and incident MCR. METHODS Based on the China Health and Retirement Longitudinal Study, we identified two study subcohorts: one for cognitive trajectory follow-up (6423 participants, 2011-2018) and another for incident MCR follow-up (2477 participants, 2011-2015). The eGFRdiff was defined as eGFRcys - eGFRcr. Adjusted ordinal and binary logistic regression models were separately used to assess the associations of eGFRdiff with cognitive trajectories and incident MCR. We also performed discordance analyses for eGFRdiff versus eGFRcys, eGFRcr or eGFR based on both creatinine and cystatin C (eGFRcys-cr). RESULTS In the first subcohort, four distinct 7-year cognitive trajectories were identified. Each 1 standard deviation (SD) higher eGFRdiff (value for eGFRcys - eGFRcr) was associated with a lower risk of poorer cognitive trajectories {odds ratio 0.909 [95% confidence interval (CI) 0.877-0.942]}. In the second subcohort, 121 participants developed incident MCR after a 4-year follow-up. Each 1-SD higher eGFRdiff (value for eGFRcys - eGFRcr) was linked with a 25.3% (95% CI 16.6-33.2) decreased risk for MCR. The above associations persisted in individuals with normal kidney function. Additionally, the risk for cognitive decline and incident MCR was more strongly associated with eGFRcys than eGFRcr and eGFRcys-cr. For the discordance analyses, the 'discordantly high eGFRdiff/low eGFR' group but not the 'discordantly low eGFRdiff/high eGFR' exhibited a significantly lower risk of poorer cognitive trajectories and MCR compared with the concordant group. CONCLUSIONS A large negative difference between eGFRcys and eGFRcr (eGFRcys < eGFRcr) was associated with a higher risk of cognitive decline and incident MCR. The eGFRdiff could capture additional valuable risk information beyond eGFRcys, eGFRcr and eGFRcys-cr.
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Affiliation(s)
- Jinqi Wang
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Yueruijing Liu
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Rui Jin
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Xiaoyu Zhao
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Zhiyuan Wu
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Department of Public Health, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - Ze Han
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Zongkai Xu
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Xiuhua Guo
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Lixin Tao
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
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Bothwell AR, Resnick SM, Ferrucci L, Tian Q. Associations of olfactory function with brain structural and functional outcomes. A systematic review. Ageing Res Rev 2023; 92:102095. [PMID: 37913831 PMCID: PMC10872938 DOI: 10.1016/j.arr.2023.102095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/20/2023] [Accepted: 10/21/2023] [Indexed: 11/03/2023]
Abstract
In aging, olfactory deficits have been associated with lower cognition and motor function. Olfactory dysfunction is also one of the earliest features of neurodegenerative disease. A comprehensive review of the neural correlates of olfactive function may reveal mechanisms underlying the associations among olfaction, cognition, motor function, and neurodegenerative diseases. Here, we summarize existing knowledge on the relationship between brain structural and functional measures and olfaction in older adults without and with cognitive impairment, including Alzheimer's disease. We identified 33 eligible studies (30 MRI/DTI,3 fMRI); 31 were cross-sectional, most assessed odor identification, and few examined multiple brain areas. Lower olfactory function was associated with smaller volumes in the temporal lobe (hippocampus,parahippocampal gyrus,fusiform gyrus), olfactory-related regions (piriform cortex,amygdala,entorhinal cortex), pre- and postcentral gyri, and globus pallidus. During aging, olfactory impairment may be associated with pathology in brain areas important for motor function and cognition, especially memory. Future longitudinal studies that include neuroimaging across different brain areas are warranted to determine the neurobiological changes underlying olfactory changes in the aging brain and the progression of neurodegeneration.
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Affiliation(s)
- Adam R Bothwell
- Longitudinal Studies Section, National Institute on Aging, 251 Bayview Blvd., Suite 100, Baltimore, MD 21224, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, 251 Bayview Blvd., Suite 100, Baltimore, MD 21224, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, National Institute on Aging, 251 Bayview Blvd., Suite 100, Baltimore, MD 21224, USA
| | - Qu Tian
- Longitudinal Studies Section, National Institute on Aging, 251 Bayview Blvd., Suite 100, Baltimore, MD 21224, USA.
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Guo J, Dove A, Wang J, Laukka EJ, Ekström I, Dunk MM, Bennett DA, Xu W. Trajectories of olfactory identification preceding incident mild cognitive impairment and dementia: a longitudinal study. EBioMedicine 2023; 98:104862. [PMID: 38251465 PMCID: PMC10628348 DOI: 10.1016/j.ebiom.2023.104862] [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: 07/11/2023] [Revised: 09/26/2023] [Accepted: 10/17/2023] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND The pattern of olfactory identification change in the early phases of dementing disorders is unclear. We aimed to assess olfactory identification trajectories preceding incident mild cognitive impairment (MCI) and dementia and explore the role of brain pathologies in these trajectories. METHODS Within the Rush Memory and Aging Project, 1318 dementia-free older adults were followed annually for up to 11 years. Olfactory identification was assessed using the Brief Smell Identification Test annually. Of 900 cognitively intact participants, incident MCI and dementia were diagnosed following standard criteria. Over follow-up, 518 participants died and underwent brain autopsies for neuropathological assessment. Data were analyzed using mixed-effect models with backward timescales. FINDINGS Compared to participants who remained cognitively intact, olfactory identification declined faster among those who developed MCI (β -0.09 [95% CI -0.13, -0.05]), leading to a significantly lower olfactory identification starting from five years preceding MCI diagnosis (mean difference at year -5: -0.39 [-0.71, -0.07]). Among participants with incident MCI, olfactory identification declined faster in those who developed dementia compared to those who did not (β -0.19 [-0.36, -0.01]), leading to a significantly lower olfactory identification starting from three years preceding dementia diagnosis (mean difference at year -3: -0.95 [-1.67, -0.23]). A faster decline in olfactory identification was associated with higher burdens of global Alzheimer's disease pathology, neurofibrillary tangles, and amyloid beta load. INTERPRETATION Olfactory identification declined faster preceding dementia disorders and Alzheimer's pathology may underlie these faster declines. FUNDING This study was funded by the National Institutes of Health (R01AG17917) and Swedish Research Council (2021-01647).
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Affiliation(s)
- Jie Guo
- Department of Nutrition and Health, China Agricultural University, Beijing, China; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
| | - Abigail Dove
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Jiao Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition, and Public Health, Tianjin, China; Department of Epidemiology, College of Preventive Medicine, The Army Medical University (Third Military Medical University), Chongqing, China
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Ingrid Ekström
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Michelle M Dunk
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Weili Xu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition, and Public Health, Tianjin, China
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Xiao Z, Wu W, Ma X, Wu J, Liang X, Cao Y, Zhao Q, Ding D. Olfactory function, neurofilament light chain, and cognitive trajectory: A 12-year follow-up of the Shanghai Aging Study. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12485. [PMID: 37800096 PMCID: PMC10549963 DOI: 10.1002/dad2.12485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/08/2023] [Accepted: 09/11/2023] [Indexed: 10/07/2023]
Abstract
This study aimed to determine whether blood neurofilament light chain (NfL) modifies the association of olfactory dysfunction (OD) with long-term cognitive decline. A total of 1125 non-demented older adults in the Shanghai Aging Study were evaluated for baseline olfaction (12-item Sniffin' Sticks Smell Test) and cognitive trajectory by a 12-year follow-up. Baseline blood NfL was quantified using Single Molecular Array assay, and dichotomized into low and high levels based on the median value of concentration. The Mini-Mental State Examination (MMSE) and Telephone Interview for Cognitive Status-40 were used to assess participants' cognitive function. Cognitive decline was ascertained when dementia was diagnosed or documented in the medical record during follow-up, or the MMSE declining rate (slope) was 1.0 SD larger than the group mean. OD participants presented a steeper trajectory of MMSE score (p interaction = 0.004) and a high risk of cognitive decline (adjusted HR [95% CI], 1.82 [1.11, 2.98]) only in those with high NfL. Participants with combined OD and high NfL showed the highest risk of cognitive decline (adjusted HR, 2.43 [1.20, 4.92]). OD, especially in combination with high blood NfL concentration, may be able to identify individuals who later incur cognitive deterioration.
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Affiliation(s)
- Zhenxu Xiao
- Institute of NeurologyHuashan HospitalFudan UniversityShanghaiChina
- National Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina
- National Center for Neurological DisordersHuashan HospitalFudan UniversityShanghaiChina
| | - Wanqing Wu
- Institute of NeurologyHuashan HospitalFudan UniversityShanghaiChina
- National Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina
- National Center for Neurological DisordersHuashan HospitalFudan UniversityShanghaiChina
| | - Xiaoxi Ma
- Institute of NeurologyHuashan HospitalFudan UniversityShanghaiChina
- National Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina
- National Center for Neurological DisordersHuashan HospitalFudan UniversityShanghaiChina
| | - Jie Wu
- Institute of NeurologyHuashan HospitalFudan UniversityShanghaiChina
- National Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina
- National Center for Neurological DisordersHuashan HospitalFudan UniversityShanghaiChina
| | - Xiaoniu Liang
- Institute of NeurologyHuashan HospitalFudan UniversityShanghaiChina
- National Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina
- National Center for Neurological DisordersHuashan HospitalFudan UniversityShanghaiChina
| | - Yang Cao
- Clinical Epidemiology and BiostatisticsSchool of Medical SciencesFaculty of Medicine and HealthÖrebro UniversityÖrebroSweden
- Unit of Integrative EpidemiologyInstitute of Environmental MedicineKarolinska InstituteStockholmSweden
| | - Qianhua Zhao
- Institute of NeurologyHuashan HospitalFudan UniversityShanghaiChina
- National Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina
- National Center for Neurological DisordersHuashan HospitalFudan UniversityShanghaiChina
- MOE Frontiers Center for Brain ScienceFudan UniversityShanghaiChina
| | - Ding Ding
- Institute of NeurologyHuashan HospitalFudan UniversityShanghaiChina
- National Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina
- National Center for Neurological DisordersHuashan HospitalFudan UniversityShanghaiChina
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Sathyan S, Ayers E, Adhikari D, Gao T, Milman S, Barzilai N, Verghese J. Biological Age Acceleration and Motoric Cognitive Risk Syndrome. Ann Neurol 2023; 93:1187-1197. [PMID: 36843279 PMCID: PMC10865507 DOI: 10.1002/ana.26624] [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: 10/14/2022] [Revised: 01/21/2023] [Accepted: 02/13/2023] [Indexed: 02/28/2023]
Abstract
OBJECTIVE Motoric cognitive risk (MCR) syndrome, a predementia syndrome characterized by slow gait and subjective cognitive concerns, is associated with multiple age-related risk factors. We hypothesized that MCR is associated with biological age acceleration. We examined the associations of biological age acceleration with MCR, and mortality risk in MCR cases. METHODS Biological age was determined using proteomic and epigenetic clocks in participants aged 65 years and older in the LonGenity study (N = 700, females = 57.9%) and Health and Retirement Study (HRS; N = 1,043, females = 57.1%) cohorts. Age acceleration (AgeAccel) was operationally defined as the residual from regressing predicted biological age (from both clocks separately) on chronological age. Association of AgeAccel with incident MCR in the overall sample as well as with mortality risk in MCR cases was examined using Cox models and reported as hazard ratios (HRs). RESULTS AgeAccel scores derived from a proteomic clock were associated with prevalent MCR (odds ratio adjusted for age, gender, education years, and chronic illnesses [aOR] = 1.36, 95% confidence interval [CI] = 1.09-1.71) as well as predicted incident MCR (HR = 1.19, 95% CI = 1.00-1.41) in the LonGenity cohort. In HRS, the association of AgeAccel using an epigenetic clock with prevalent MCR was confirmed (aOR = 1.47, 95% CI = 1.16-1.85). Participants with MCR and accelerated aging (positive AgeAccel score) were at the highest risk for mortality in both LonGenity (HR = 3.38, 95% CI = 2.01-5.69) and HRS (HR = 2.47, 95% CI = 1.20-5.10). INTERPRETATION Accelerated aging predicts risk for MCR, and is associated with higher mortality in MCR patients. ANN NEUROL 2023;93:1187-1197.
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Affiliation(s)
- Sanish Sathyan
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Emmeline Ayers
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Dristi Adhikari
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Tina Gao
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
- Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sofiya Milman
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
- Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Nir Barzilai
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
- Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Joe Verghese
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
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Kravatz NL, Adhikari D, Ayers E, Verghese J. Prodromal Motoric Cognitive Risk Syndrome and Everyday Function. J Alzheimers Dis 2023; 96:695-704. [PMID: 37840497 PMCID: PMC10829768 DOI: 10.3233/jad-230579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
BACKGROUND Motoric cognitive risk syndrome (MCR), a pre-dementia syndrome characterized by subjective cognitive complaints and slow gait, is associated with disability in instrumental activities of daily living. It is unknown whether these functional limitations occur even before this pre-dementia syndrome is diagnosed. OBJECTIVE To assess profiles of complex and instrumental activities of daily living in the prodromal stages of MCR. METHODS We examined functional profiles in 46 older adults (mean age 79 years, 59% women) living in the community with normal cognition at baseline who developed MCR over follow-up ('pre-MCR') with 264 older adults (mean age 75 years, 57% women) who remained cognitively intact over the follow-up period. RESULTS Pre-MCR individuals had more limitations on complex everyday function at baseline compared to normal controls in multivariable logistic regression models (odds ratio 1.21). Pre-MCR cases at baseline had limitations in handling finances (odds ratio 3.0) and performing hobbies (odds ratio 5.5) as compared to normal controls. Pre-MCR cases had a greater difference in the number of complex functional limitations from baseline to MCR compared to the difference from baseline to final visit for the controls (1.2±3.0 versus 0.5±2.2, p < 0.001). CONCLUSIONS Limitations in complex everyday tasks arise in the prodromal stages of MCR and can assist in risk prognostication.
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Affiliation(s)
- Nigel L. Kravatz
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Dristi Adhikari
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Emmeline Ayers
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Joe Verghese
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
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