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Bolshakov AP, Gerasimov K, Dobryakova YV. Alzheimer's Disease: An Attempt of Total Recall. J Alzheimers Dis 2024:JAD240620. [PMID: 39269841 DOI: 10.3233/jad-240620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2024]
Abstract
This review is an attempt to compile existing hypotheses on the mechanisms underlying the initiation and progression of Alzheimer's disease (AD), starting from sensory impairments observed in AD and concluding with molecular events that are typically associated with the disease. These events include spreading of amyloid plaques and tangles of hyperphosphorylated tau and formation of Hirano and Biondi bodies as well as the development of oxidative stress. We have detailed the degenerative changes that occur in several neuronal populations, including the cholinergic neurons in the nucleus basalis of Meynert, the histaminergic neurons in the tuberomammillary nucleus, the serotonergic neurons in the raphe nuclei, and the noradrenergic neurons in the locus coeruleus. Furthermore, we discuss the potential role of iron accumulation in the brains of subjects with AD in the disease progression which served as a basis for the idea that iron chelation in the brain may mitigate oxidative stress and decelerate disease development. We also draw attention to possible role of sympathetic system and, more specifically, noradrenergic neurons of the superior cervical ganglion in triggering of the disease. We also explore the alternative possibility of compensatory protective changes that may occur in these neurons to support cholinergic function in the forebrain of subjects with AD.
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Affiliation(s)
- Alexey P Bolshakov
- Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia
| | - Konstantin Gerasimov
- Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia
- Russian National Research Medical University, Moscow, Russia
| | - Yulia V Dobryakova
- Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia
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Liao W, Wang Y, Wang L, Li J, Huang D, Cheng W, Luan P. The current status and challenges of olfactory dysfunction study in Alzheimer's Disease. Ageing Res Rev 2024; 100:102453. [PMID: 39127444 DOI: 10.1016/j.arr.2024.102453] [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: 06/26/2024] [Accepted: 08/07/2024] [Indexed: 08/12/2024]
Abstract
Olfactory functioning involves multiple cognitive processes and the coordinated actions of various neural systems. Any disruption at any stage of this process may result in olfactory dysfunction, which is consequently widely used to predict the onset and progression of diseases, such as Alzheimer's Disease (AD). Although the underlying mechanisms have not yet been fully unraveled, apparent changes were observed in olfactory brain areas form patients who suffer from AD by means of medical imaging and electroencephalography (EEG). Olfactory dysfunction holds significant promise in detecting AD during the preclinical stage preceding mild cognitive impairment (MCI). Owing to the strong specificity, olfactory tests are prevalently applied for screening in community cohorts. And combining olfactory tests with other biomarkers may further establish an optimal model for AD prediction in studies of specific olfactory dysfunctions and improve the sensitivity and specificity of early AD diagnosis.
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Affiliation(s)
- Wanchen Liao
- Department of Alzheimer's Disease Clinical Research Center, Guangdong Second Provincial General Hospital, Guangzhou 510317, China
| | - Yulin Wang
- Department of Alzheimer's Disease Clinical Research Center, Guangdong Second Provincial General Hospital, Guangzhou 510317, China
| | - Lei Wang
- Department of Alzheimer's Disease Clinical Research Center, Guangdong Second Provincial General Hospital, Guangzhou 510317, China
| | - Jun Li
- Department of Alzheimer's Disease Clinical Research Center, Guangdong Second Provincial General Hospital, Guangzhou 510317, China
| | - Dongqing Huang
- Department of Alzheimer's Disease Clinical Research Center, Guangdong Second Provincial General Hospital, Guangzhou 510317, China
| | - Weibin Cheng
- Department of Alzheimer's Disease Clinical Research Center, Guangdong Second Provincial General Hospital, Guangzhou 510317, China.
| | - Ping Luan
- Department of Alzheimer's Disease Clinical Research Center, Guangdong Second Provincial General Hospital, Guangzhou 510317, China.
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Ouyang L, Ma X, Yuan L, Fan L, Liao A, Li D, Yang Z, Zhang Z, Liu W, Chen X, Li Z, He Y. Impairment of olfactory identification ability in ultra-high risk for psychosis and drug-naïve first episode psychosis. Prog Neuropsychopharmacol Biol Psychiatry 2024; 133:111035. [PMID: 38795823 DOI: 10.1016/j.pnpbp.2024.111035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 05/13/2024] [Accepted: 05/22/2024] [Indexed: 05/28/2024]
Abstract
OBJECTIVE Patients with psychotic diseases have been reported to exhibit abnormalities in their olfactory discrimination. These alterations have also been identified in people at high genetic or clinical risk for psychosis, suggesting olfactory discrimination dysfunction may be a potential risk factor for developing psychosis. Thus, the purpose of our study is to explore the difference in olfactory discrimination ability in the prosal stage and early stage of psychosis and to explore the potential risk factor of developed psychosis. METHODS We compared olfactory identification and cognitive function in 89 ultra-high-risk (UHR) individuals, 103 individuals with Drug-naïve first-episode schizophrenia (FES), 81 genetic high-risk (GHR) individuals, and 97 healthy controls (HC). Additionally, we compared olfactory identification and cognitive function between two groups; UHR individuals who later transitioned to psychosis (UHR-T; n = 33) and those who did not transition (UHR-NT; n = 42)). Furthermore, we analyzed the correlations between olfactory discrimination ability and cognitive function and symptoms and compared the olfactory function between men and women. RESULTS Patients with first-episode schizophrenia (FES) and those at ultra-high risk (UHR) for psychosis exhibited more significant deficits in olfactory identification than healthy controls (HC), while no differences in olfactory identification dysfunction were observed between the genetic high risk (GHR) and HC groups. Notably, individuals in the UHR group who later developed psyhchosis displayed a steeper marked decline in their baseline olfactory identification ability than that of those in the UHR group who did not develop psychosis. Cognitive dysfunction is widely observed in both the FES and UHR groups, with a distinct correlation identified between olfactory discrimination function and cognitive performance. Finally, overall, women exhibit significantly superior olfactory function than men. CONCLUSION In conclusion, these findings suggest that impairment of olfactory identification exists in the early stage of psychosis. Olfactory identification dysfunction may therefore be a potential marker of predicting the transition to schizophrenia.
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Affiliation(s)
- Lijun Ouyang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, and Hunan Medical Center for Mental Health, Changsha, Hunan 410011, China
| | - Xiaoqian Ma
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, and Hunan Medical Center for Mental Health, Changsha, Hunan 410011, China
| | - Liu Yuan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, and Hunan Medical Center for Mental Health, Changsha, Hunan 410011, China
| | - Lejia Fan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, and Hunan Medical Center for Mental Health, Changsha, Hunan 410011, China
| | - Aijun Liao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, and Hunan Medical Center for Mental Health, Changsha, Hunan 410011, China
| | - David Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, and Hunan Medical Center for Mental Health, Changsha, Hunan 410011, China
| | - Zihao Yang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, and Hunan Medical Center for Mental Health, Changsha, Hunan 410011, China
| | - Zhenmei Zhang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, and Hunan Medical Center for Mental Health, Changsha, Hunan 410011, China
| | - Weiqing Liu
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai 200122, China; Laboratory for Molecular Mechanisms of Brain Development, Center for Brain Science (CBS), RIKEN, Wako, Saitama, Japan
| | - Xiaogang Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, and Hunan Medical Center for Mental Health, Changsha, Hunan 410011, China
| | - Zongchang Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, and Hunan Medical Center for Mental Health, Changsha, Hunan 410011, China.
| | - Ying He
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, and Hunan Medical Center for Mental Health, Changsha, Hunan 410011, China.
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Koppelmans V, Ruitenberg MFL, Schaefer SY, King JB, Jacobo JM, Silvester BP, Mejia AF, van der Geest J, Hoffman JM, Tasdizen T, Duff K. Classification of Mild Cognitive Impairment and Alzheimer's Disease Using Manual Motor Measures. NEURODEGENER DIS 2024; 24:54-70. [PMID: 38865972 PMCID: PMC11381162 DOI: 10.1159/000539800] [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: 03/18/2024] [Accepted: 06/09/2024] [Indexed: 06/14/2024] Open
Abstract
INTRODUCTION Manual motor problems have been reported in mild cognitive impairment (MCI) and Alzheimer's disease (AD), but the specific aspects that are affected, their neuropathology, and potential value for classification modeling is unknown. The current study examined if multiple measures of motor strength, dexterity, and speed are affected in MCI and AD, related to AD biomarkers, and are able to classify MCI or AD. METHODS Fifty-three cognitively normal (CN), 33 amnestic MCI, and 28 AD subjects completed five manual motor measures: grip force, Trail Making Test A, spiral tracing, finger tapping, and a simulated feeding task. Analyses included (1) group differences in manual performance; (2) associations between manual function and AD biomarkers (PET amyloid β, hippocampal volume, and APOE ε4 alleles); and (3) group classification accuracy of manual motor function using machine learning. RESULTS Amnestic MCI and AD subjects exhibited slower psychomotor speed and AD subjects had weaker dominant hand grip strength than CN subjects. Performance on these measures was related to amyloid β deposition (both) and hippocampal volume (psychomotor speed only). Support vector classification well-discriminated control and AD subjects (area under the curve of 0.73 and 0.77, respectively) but poorly discriminated MCI from controls or AD. CONCLUSION Grip strength and spiral tracing appear preserved, while psychomotor speed is affected in amnestic MCI and AD. The association of motor performance with amyloid β deposition and atrophy could indicate that this is due to amyloid deposition in and atrophy of motor brain regions, which generally occurs later in the disease process. The promising discriminatory abilities of manual motor measures for AD emphasize their value alongside other cognitive and motor assessment outcomes in classification and prediction models, as well as potential enrichment of outcome variables in AD clinical trials.
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Affiliation(s)
- Vincent Koppelmans
- Department of Psychiatry, University of Utah, Salt Lake City, Utah, USA
- Huntsman Mental Health Institute, University of Utah, Salt Lake City, Utah, USA
| | - Marit F L Ruitenberg
- Department of Health, Medical and Neuropsychology, Leiden University, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - Sydney Y Schaefer
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, USA
| | - Jace B King
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Jasmine M Jacobo
- Department of Psychiatry, University of Utah, Salt Lake City, Utah, USA
- Huntsman Mental Health Institute, University of Utah, Salt Lake City, Utah, USA
| | - Benjamin P Silvester
- Department of Psychiatry, University of Utah, Salt Lake City, Utah, USA
- Huntsman Mental Health Institute, University of Utah, Salt Lake City, Utah, USA
| | - Amanda F Mejia
- Department of Statistics, University of Indiana, Bloomington, Indiana, USA
| | | | - John M Hoffman
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah, USA
- Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Tolga Tasdizen
- Electrical and Computer Engineering, University of Utah, Salt Lake City, Utah, USA
| | - Kevin Duff
- Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA
- Department of Neurology, University of Utah, Salt Lake City, Utah, USA
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Lewitt MS, Boyd GW. Role of the Insulin-like Growth Factor System in Neurodegenerative Disease. Int J Mol Sci 2024; 25:4512. [PMID: 38674097 PMCID: PMC11049992 DOI: 10.3390/ijms25084512] [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: 03/27/2024] [Revised: 04/16/2024] [Accepted: 04/18/2024] [Indexed: 04/28/2024] Open
Abstract
The insulin-like growth factor (IGF) system has paracrine and endocrine roles in the central nervous system. There is evidence that IGF signalling pathways have roles in the pathophysiology of neurodegenerative disease. This review focusses on Alzheimer's disease and Parkinson's disease, the two most common neurodegenerative disorders that are increasing in prevalence globally in relation to the aging population and the increasing prevalence of obesity and type 2 diabetes. Rodent models used in the study of the molecular pathways involved in neurodegeneration are described. However, currently, no animal model fully replicates these diseases. Mice with triple mutations in APP, PSEN and MAPT show promise as models for the testing of novel Alzheimer's therapies. While a causal relationship is not proven, the fact that age, obesity and T2D are risk factors in both strengthens the case for the involvement of the IGF system in these disorders. The IGF system is an attractive target for new approaches to management; however, there are gaps in our understanding that first need to be addressed. These include a focus beyond IGF-I on other members of the IGF system, including IGF-II, IGF-binding proteins and the type 2 IGF receptor.
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Affiliation(s)
- Moira S. Lewitt
- School of Health and Life Sciences, University of the West of Scotland, Paisley PA1 2BE, UK
| | - Gary W. Boyd
- School of Health and Life Sciences, University of the West of Scotland, Hamilton G72 0LH, UK;
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Sayyid ZN, Wang H, Cai Y, Gross AL, Swenor BK, Deal JA, Lin FR, Wanigatunga AA, Dougherty RJ, Tian Q, Simonsick EM, Ferrucci L, Schrack JA, Resnick SM, Agrawal Y. Sensory and motor deficits as contributors to early cognitive impairment. Alzheimers Dement 2024; 20:2653-2661. [PMID: 38375574 PMCID: PMC11032563 DOI: 10.1002/alz.13715] [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: 07/17/2023] [Revised: 01/03/2024] [Accepted: 01/04/2024] [Indexed: 02/21/2024]
Abstract
INTRODUCTION Age-related sensory and motor impairment are associated with risk of dementia. No study has examined the joint associations of multiple sensory and motor measures on prevalence of early cognitive impairment (ECI). METHODS Six hundred fifty participants in the Baltimore Longitudinal Study of Aging completed sensory and motor function tests. The association between sensory and motor function and ECI was examined using structural equation modeling with three latent factors corresponding to multisensory, fine motor, and gross motor function. RESULTS The multisensory, fine, and gross motor factors were all correlated (r = 0.74 to 0.81). The odds of ECI were lower for each additional unit improvement in the multisensory (32%), fine motor (30%), and gross motor factors (12%). DISCUSSION The relationship between sensory and motor impairment and emerging cognitive impairment may guide future intervention studies aimed at preventing and/or treating ECI. HIGHLIGHTS Sensorimotor function and early cognitive impairment (ECI) prevalence were assessed via structural equation modeling. The degree of fine and gross motor function is associated with indicators of ECI. The degree of multisensory impairment is also associated with indicators of ECI.
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Affiliation(s)
- Zahra N. Sayyid
- Department of Otolaryngology‐Head and Neck SurgeryJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Hang Wang
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
- Center on Aging and HealthJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Yurun Cai
- Department of Health and Community SystemsUniversity of Pittsburgh School of NursingPittsburghPennsylvaniaUSA
| | - Alden L. Gross
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
- Center on Aging and HealthJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Bonnielin K. Swenor
- The Johns Hopkins School of NursingBaltimoreMarylandUSA
- The Johns Hopkins Disability Health Research Center, Johns Hopkins UniversityBaltimoreMarylandUSA
| | - Jennifer A. Deal
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Frank R. Lin
- Department of Otolaryngology‐Head and Neck SurgeryJohns Hopkins School of MedicineBaltimoreMarylandUSA
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Amal A. Wanigatunga
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
- Center on Aging and HealthJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Ryan J. Dougherty
- Department of NeurologyJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Qu Tian
- Intramural Research Program, National Institute on Aging, BaltimoreBaltimoreMarylandUSA
| | - Eleanor M. Simonsick
- Intramural Research Program, National Institute on Aging, BaltimoreBaltimoreMarylandUSA
| | - Luigi Ferrucci
- Intramural Research Program, National Institute on Aging, BaltimoreBaltimoreMarylandUSA
| | - Jennifer A. Schrack
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
- Center on Aging and HealthJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Susan M. Resnick
- Intramural Research Program, National Institute on Aging, BaltimoreBaltimoreMarylandUSA
| | - Yuri Agrawal
- Department of Otolaryngology‐Head and Neck SurgeryJohns Hopkins School of MedicineBaltimoreMarylandUSA
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Vavougios GD, Tseriotis VS, Liampas A, Mavridis T, de Erausquin GA, Hadjigeorgiou G. Type I interferon signaling, cognition and neurodegeneration following COVID-19: update on a mechanistic pathogenetic model with implications for Alzheimer's disease. Front Hum Neurosci 2024; 18:1352118. [PMID: 38562226 PMCID: PMC10982434 DOI: 10.3389/fnhum.2024.1352118] [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: 12/07/2023] [Accepted: 03/04/2024] [Indexed: 04/04/2024] Open
Abstract
COVID-19's effects on the human brain reveal a multifactorial impact on cognition and the potential to inflict lasting neuronal damage. Type I interferon signaling, a pathway that represents our defense against pathogens, is primarily affected by COVID-19. Type I interferon signaling, however, is known to mediate cognitive dysfunction upon its dysregulation following synaptopathy, microgliosis and neuronal damage. In previous studies, we proposed a model of outside-in dysregulation of tonic IFN-I signaling in the brain following a COVID-19. This disruption would be mediated by the crosstalk between central and peripheral immunity, and could potentially establish feed-forward IFN-I dysregulation leading to neuroinflammation and potentially, neurodegeneration. We proposed that for the CNS, the second-order mediators would be intrinsic disease-associated molecular patterns (DAMPs) such as proteopathic seeds, without the requirement of neuroinvasion to sustain inflammation. Selective vulnerability of neurogenesis sites to IFN-I dysregulation would then lead to clinical manifestations such as anosmia and cognitive impairment. Since the inception of our model at the beginning of the pandemic, a growing body of studies has provided further evidence for the effects of SARS-CoV-2 infection on the human CNS and cognition. Several preclinical and clinical studies have displayed IFN-I dysregulation and tauopathy in gene expression and neuropathological data in new cases, correspondingly. Furthermore, neurodegeneration identified with a predilection for the extended olfactory network furthermore supports the neuroanatomical concept of our model, and its independence from fulminant neuroinvasion and encephalitis as a cause of CNS damage. In this perspective, we summarize the data on IFN-I as a plausible mechanism of cognitive impairment in this setting, and its potential contribution to Alzheimer's disease and its interplay with COVID-19.
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Affiliation(s)
- George D. Vavougios
- Department of Neurology, Medical School, University of Cyprus, Lefkosia, Cyprus
| | | | - Andreas Liampas
- Department of Neurology, Medical School, University of Cyprus, Lefkosia, Cyprus
| | - Theodore Mavridis
- Tallaght University Hospital (TUH)/The Adelaide and Meath Hospital Dublin, Incorporating the National Children's Hospital (AMNCH), Dublin, Ireland
| | - Gabriel A. de Erausquin
- Laboratory of Brain Development, Modulation and Repair, The Glenn Biggs Institute of Alzheimer's and Neurodegenerative Disorders, Joe R. and Teresa Lozano Long School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
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Park YJ, Lu TC, Jackson T, Goodman LD, Ran L, Chen J, Liang CY, Harrison E, Ko C, Hsu AL, Yamamoto S, Qi Y, Bellen HJ, Li H. Whole organism snRNA-seq reveals systemic peripheral changes in Alzheimer's Disease fly models. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.10.584317. [PMID: 38559164 PMCID: PMC10979927 DOI: 10.1101/2024.03.10.584317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Peripheral tissues become disrupted in Alzheimer's Disease (AD). However, a comprehensive understanding of how the expression of AD-associated toxic proteins, Aβ42 and Tau, in neurons impacts the periphery is lacking. Using Drosophila, a prime model organism for studying aging and neurodegeneration, we generated the Alzheimer's Disease Fly Cell Atlas (AD-FCA): whole-organism single-nucleus transcriptomes of 219 cell types from adult flies neuronally expressing human Aβ42 or Tau. In-depth analyses and functional data reveal impacts on peripheral sensory neurons by Aβ42 and on various non-neuronal peripheral tissues by Tau, including the gut, fat body, and reproductive system. This novel AD atlas provides valuable insights into potential biomarkers and the intricate interplay between the nervous system and peripheral tissues in response to AD-associated proteins.
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Affiliation(s)
- Ye-Jin Park
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
- Program in Development, Disease Models & Therapeutics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Tzu-Chiao Lu
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Tyler Jackson
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Program in Cancer Cell Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Lindsey D Goodman
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - Lindsey Ran
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jiaye Chen
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Chung-Yi Liang
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Institute of Biochemistry and Molecular Biology, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Erin Harrison
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Christina Ko
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ao-Lin Hsu
- Institute of Biochemistry and Molecular Biology, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Internal Medicine, Division of Geriatric and Palliative Medicine, University of Michigan, Ann Arbor, MI 28109, USA
| | - Shinya Yamamoto
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
- Program in Development, Disease Models & Therapeutics, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yanyan Qi
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Hugo J Bellen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
- Program in Development, Disease Models & Therapeutics, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA
| | - Hongjie Li
- Huffington Center on Aging, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
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Tian Q, An Y, Resnick SM, Ferrucci L. Presymptomatic Profiles of Cognitive Impairment with Prior Mobility Impairment. J Am Med Dir Assoc 2024; 25:480-487.e2. [PMID: 38307123 PMCID: PMC10951864 DOI: 10.1016/j.jamda.2023.12.017] [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: 09/25/2023] [Revised: 12/26/2023] [Accepted: 12/26/2023] [Indexed: 02/04/2024]
Abstract
OBJECTIVES To identify cognitive and health profiles of cognitively impaired older adults with the presence of prior mobility impairment, which may represent a specific pathway to the development of cognitive impairment or dementia. DESIGN Retrospective longitudinal study. SETTING AND PARTICIPANTS In adults aged ≥65 years who developed cognitive impairment or dementia, we compared cognitive and health profiles of those who did (n = 57) and did not (n = 86) experience slow gait up to 14 years before symptom onset. Measures of cognitive and biomarkers assessed longitudinally over an average of 7 years before symptom onset were compared between groups using linear mixed effects models, adjusted age, sex, race, and additionally adjusted for education for cognitive outcomes. RESULTS Compared to those without prior slow gait, those with slow gait had lower Digit Symbol Substitution Test and Pegboard dominant and nondominant hand performance. The slow gait group also had greater body mass index (BMI), waist, systolic blood pressure, lower high-density lipoprotein and low-density lipoprotein, and lower lysophosphatidylcholine 18:2, a lipid associated with mitochondrial function, and showed greater increases in 2-hour glucose levels of an oral glucose tolerance test. The slow gait group was more likely to take medication for hypertension and hypercholesterolemia. CONCLUSIONS AND IMPLICATIONS During the presymptomatic stage, cognitively impaired older persons who experience prior slow gait are more likely to have deficits in psychomotor speed and manual dexterity, an unfavorable metabolic and vascular profile, and lower lipid levels related to mitochondrial function. Older persons who exhibit mobility impairment should be evaluated for metabolic and vascular dysfunction at an early stage, and successful treatment of these conditions may slow down the progression of cognitive impairment or dementia.
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Affiliation(s)
- Qu Tian
- Longitudinal Studies Section, National Institute on Aging, Baltimore, MD, USA.
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, National Institute on Aging, Baltimore, MD, USA
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10
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Liu D, Lu J, Wei L, Yao M, Yang H, Lv P, Wang H, Zhu Y, Zhu Z, Zhang X, Chen J, Yang QX, Zhang B. Olfactory deficit: a potential functional marker across the Alzheimer's disease continuum. Front Neurosci 2024; 18:1309482. [PMID: 38435057 PMCID: PMC10907997 DOI: 10.3389/fnins.2024.1309482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 02/02/2024] [Indexed: 03/05/2024] Open
Abstract
Alzheimer's disease (AD) is a prevalent form of dementia that affects an estimated 32 million individuals globally. Identifying early indicators is vital for screening at-risk populations and implementing timely interventions. At present, there is an urgent need for early and sensitive biomarkers to screen individuals at risk of AD. Among all sensory biomarkers, olfaction is currently one of the most promising indicators for AD. Olfactory dysfunction signifies a decline in the ability to detect, identify, or remember odors. Within the spectrum of AD, impairment in olfactory identification precedes detectable cognitive impairments, including mild cognitive impairment (MCI) and even the stage of subjective cognitive decline (SCD), by several years. Olfactory impairment is closely linked to the clinical symptoms and neuropathological biomarkers of AD, accompanied by significant structural and functional abnormalities in the brain. Olfactory behavior examination can subjectively evaluate the abilities of olfactory identification, threshold, and discrimination. Olfactory functional magnetic resonance imaging (fMRI) can provide a relatively objective assessment of olfactory capabilities, with the potential to become a promising tool for exploring the neural mechanisms of olfactory damage in AD. Here, we provide a timely review of recent literature on the characteristics, neuropathology, and examination of olfactory dysfunction in the AD continuum. We focus on the early changes in olfactory indicators detected by behavioral and fMRI assessments and discuss the potential of these techniques in MCI and preclinical AD. Despite the challenges and limitations of existing research, olfactory dysfunction has demonstrated its value in assessing neurodegenerative diseases and may serve as an early indicator of AD in the future.
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Affiliation(s)
- Dongming Liu
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Jiaming Lu
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Liangpeng Wei
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Mei Yao
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Huiquan Yang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Pin Lv
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Haoyao Wang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Yajing Zhu
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Zhengyang Zhu
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Xin Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Jiu Chen
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Qing X. Yang
- Department of Radiology, Center for NMR Research, Penn State University College of Medicine, Hershey, PA, United States
| | - Bing Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
- State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, China
- Jiangsu Key Laboratory of Molecular Medicine, Nanjing, China
- Institute of Brain Science, Nanjing University, Nanjing, China
- Jiangsu Provincial Medical Key Discipline (Laboratory), Nanjing, China
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11
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Miao W, Lu Y, Xv H, Zheng C, Yang W, Qian X, Chen J, Geng G. Study protocol for a prediction model for mild cognitive impairment in older adults with diabetes mellitus and construction of a nurse-led screening system: a prospective observational study. BMJ Open 2024; 14:e075466. [PMID: 38326248 PMCID: PMC10860066 DOI: 10.1136/bmjopen-2023-075466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 01/17/2024] [Indexed: 02/09/2024] Open
Abstract
INTRODUCTION With an increasing number of older adults in China, the number of people with cognitive impairment is also increasing. To decrease the risk of dementia, it is necessary to timely detect mild cognitive impairment (MCI), which is the preliminary stage of dementia. The prevalence of MCI is relatively high among older adults with diabetes mellitus (DM); however, no effective screening strategy has been designed for this population. This study will construct a nurse-led screening system to detect MCI in community-dwelling older adults with DM in a timely manner. METHODS AND ANALYSIS A total of 642 participants with DM will be recruited (n=449 for development, n=193 for validation). The participants will be divided into MCI and none-MCI groups. The candidate predictors will include demographic variables, lifestyle factors, history of diseases, physical examinations, laboratory tests and neuropsychological tests. Univariate analysis, least absolute shrinkage and selection operator regression screening, and multivariate logistic regression analysis will be conducted to identify the outcome indicators. Based on the multivariate logistic regression equation, we will develop a traditional model as a comparison criterion for the machine learning models. The Hosmer-Lemeshow goodness-of-fit test and calibration curve will be used to evaluate the calibration. Sensitivity, specificity, area under the curves and clinical decision curve analysis will be performed for all models. We will report the sensitivity, specificity, area under the curve and decision curve analysis of the validation dataset. A prediction model with better performance will be adopted to form the nurse-led screening system. ETHICS AND DISSEMINATION This prospective study has received institutional approval of the Medical Ethics Committee of Qidong Hospital of TCM (QDSZYY-LL-20220621). Study results will be disseminated through conference presentations, Chinese Clinical Trial Registry and publication. TRIAL REGISTRATION NUMBER ChiCTR2200062855.
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Affiliation(s)
- Weiwei Miao
- Medical School, Nantong University, Nantong, Jiangsu, China
| | - Yanling Lu
- Qidong Hospital of TCM, Nantong, Jiangsu, China
| | - Honglian Xv
- Nantong Shibei Nursing Home, Nantong, Jiangsu, China
| | - Chen Zheng
- Medical School, Nantong University, Nantong, Jiangsu, China
| | - Wenwen Yang
- Medical School, Nantong University, Nantong, Jiangsu, China
| | - Xiangyun Qian
- Nantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, Jiangsu, China
| | - Jianqun Chen
- Nantong Shibei Nursing Home, Nantong, Jiangsu, China
| | - Guiling Geng
- Medical School, Nantong University, Nantong, Jiangsu, China
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12
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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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13
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Burnham SC, Iaccarino L, Pontecorvo MJ, Fleisher AS, Lu M, Collins EC, Devous MD. A review of the flortaucipir literature for positron emission tomography imaging of tau neurofibrillary tangles. Brain Commun 2023; 6:fcad305. [PMID: 38187878 PMCID: PMC10768888 DOI: 10.1093/braincomms/fcad305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 09/13/2023] [Accepted: 11/14/2023] [Indexed: 01/09/2024] Open
Abstract
Alzheimer's disease is defined by the presence of β-amyloid plaques and neurofibrillary tau tangles potentially preceding clinical symptoms by many years. Previously only detectable post-mortem, these pathological hallmarks are now identifiable using biomarkers, permitting an in vivo definitive diagnosis of Alzheimer's disease. 18F-flortaucipir (previously known as 18F-T807; 18F-AV-1451) was the first tau positron emission tomography tracer to be introduced and is the only Food and Drug Administration-approved tau positron emission tomography tracer (Tauvid™). It has been widely adopted and validated in a number of independent research and clinical settings. In this review, we present an overview of the published literature on flortaucipir for positron emission tomography imaging of neurofibrillary tau tangles. We considered all accessible peer-reviewed literature pertaining to flortaucipir through 30 April 2022. We found 474 relevant peer-reviewed publications, which were organized into the following categories based on their primary focus: typical Alzheimer's disease, mild cognitive impairment and pre-symptomatic populations; atypical Alzheimer's disease; non-Alzheimer's disease neurodegenerative conditions; head-to-head comparisons with other Tau positron emission tomography tracers; and technical considerations. The available flortaucipir literature provides substantial evidence for the use of this positron emission tomography tracer in assessing neurofibrillary tau tangles in Alzheimer's disease and limited support for its use in other neurodegenerative disorders. Visual interpretation and quantitation approaches, although heterogeneous, mostly converge and demonstrate the high diagnostic and prognostic value of flortaucipir in Alzheimer's disease.
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Affiliation(s)
| | | | | | | | - Ming Lu
- Avid, Eli Lilly and Company, Philadelphia, PA 19104, USA
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14
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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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15
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Tian Q, Mitchell BA, Erus G, Davatzikos C, Moaddel R, Resnick SM, Ferrucci L. Sex differences in plasma lipid profiles of accelerated brain aging. Neurobiol Aging 2023; 129:178-184. [PMID: 37336172 PMCID: PMC10527719 DOI: 10.1016/j.neurobiolaging.2023.05.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 05/18/2023] [Accepted: 05/23/2023] [Indexed: 06/21/2023]
Abstract
Lipids are essential components of brain structure and shown to affect brain function. Previous studies have shown that aging men undergo greater brain atrophy than women, but whether the associations between lipids and brain atrophy differ by sex is unclear. We examined sex differences in the associations between circulating lipids by liquid chromatography-tandem mass spectrometry and the progression of MRI-derived brain atrophy index Spatial Patterns of Atrophy for Recognition of Brain Aging (SPARE-BA) over an average of 4.7 (SD = 2.3) years in 214 men and 261 women aged 60 or older who were initially cognitively normal using multivariable linear regression, adjusted for age, race, education, and baseline SPARE-BA. We found significant sex interactions for beta-oxidation rate, short-chain acylcarnitines, long-chain ceramides, and very long-chain triglycerides. Lower beta-oxidation rate and short-chain acylcarnitines in women and higher long-chain ceramides and very long-chain triglycerides in men were associated with faster increases in SPARE-BA (accelerated brain aging). Circulating lipid profiles of accelerated brain aging are sex-specific and vary by lipid classes and structure. Mechanisms underlying these sex-specific lipid profiles of brain aging warrant further investigation.
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Affiliation(s)
- Qu Tian
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA.
| | - Brendan A Mitchell
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Guray Erus
- Radiology Department, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Christos Davatzikos
- Radiology Department, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ruin Moaddel
- Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
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Liu LL, Shannahan J, Zheng W. Choroid Plexus Modulates Subventricular Zone Adult Neurogenesis and Olfaction Through Secretion of Small Extracellular Vesicles. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.16.532966. [PMID: 36993578 PMCID: PMC10055063 DOI: 10.1101/2023.03.16.532966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
UNLABELLED The choroid plexus (CP) in brain ventricles secrete cerebrospinal fluid (CSF) that bathes the adjacent subventricular zone (SVZ); the latter is the largest neurogenic region in adult brain harboring neural stem/progenitor cells (NSPCs) and supplies newborn neurons to the olfactory bulb (OB) for normal olfaction. We discovered the presence of a CP-SVZ regulatory (CSR) axis in which the CP, by secreting small extracellular vesicles (sEVs), regulated adult neurogenesis in the SVZ and maintained olfaction. The proposed CSR axis was supported by 1) differential neurogenesis outcomes in the OB when animals treated with intracerebroventricular (ICV) infusion of sEVs collected from the CP of normal or manganese (Mn)-poisoned mice, 2) progressively diminished SVZ adult neurogenesis in mice following CP-targeted knockdown of SMPD3 to suppress CP sEV secretion, and 3) compromised olfactory performance in these CP-SMPD3-knockdown mice. Collectively, our findings demonstrate the biological and physiological presence of this sEV-dependent CSR axis in adult brains. HIGHLIGHTS CP-secreted sEVs regulate adult neurogenesis in the SVZ.CP-secreted sEVs modulate newborn neurons in the OB.Suppression of sEV secretion from the CP deteriorates olfactory performance.
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Tian Q, An Y, Kitner-Triolo MH, Davatzikos C, Studenski SA, Ferrucci L, Resnick SM. Associations of Olfaction With Longitudinal Trajectories of Brain Volumes and Neuropsychological Function in Older Adults. Neurology 2023; 100:e964-e974. [PMID: 36460474 PMCID: PMC9990434 DOI: 10.1212/wnl.0000000000201646] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 10/18/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Olfactory function declines with aging, and olfactory deficits are one of the earliest features of neurodegenerative diseases, such as Parkinson disease and Alzheimer disease. Previous studies have shown that olfaction is associated with brain volumes and cognitive function, but data are exclusively cross-sectional. We aimed to examine longitudinal associations of olfaction with changes in brain volumes and neuropsychological function. METHODS In the Baltimore Longitudinal Study of Aging, we chose the first assessment of olfaction to examine the associations with retrospective and prospective changes in neuropsychological performance and brain volumes in participants aged 50 years or older using linear mixed-effects models, adjusted for demographic variables and cardiovascular disease. Olfaction was measured as odor identification scores through the 16-item Sniffin' Sticks. RESULTS We analyzed data from 567 (58% women, 42% men, 27% Black, 66% White, and 7% others) participants who had data on odor identification scores and brain volumetric MRI (n = 420 with retrospective repeats over a mean of 3.7 years, n = 280 with prospective repeats over a mean of 1.2 years). We also analyzed data from 754 participants (56% women, 44% men, 29% Black, 65% White, and 6% others) with neuropsychological assessments (n = 630 with retrospective repeats over a mean of 6.6 years, n = 280 with prospective repeats over a mean of 1.5 years). After adjustment, higher odor identification scores were associated with prior and subsequent slower brain atrophy in the entorhinal cortex (β ± SE = 0.0093 ± 0.0031, p = 0.0028 and β ± SE = 0.0176 ± 0.0073, p = 0.0169, respectively), hippocampus (β ± SE = 0.0070 ± 0.0030, p = 0.0192 and β ± SE = 0.0173 ± 0.0066, p = 0.0089, respectively), and additional frontal and temporal areas (all p < 0.05). Higher odor identification scores were also associated with prior slower decline in memory, attention, processing speed, and manual dexterity and subsequent slower decline in attention (all p < 0.05). Some associations were attenuated after exclusion of data points at and after symptom onset of cognitive impairment or dementia. DISCUSSION In older adults, olfaction is related to brain atrophy of specific brain regions and neuropsychological changes in specific domains over time. The observed associations are driven, in part, by those who developed cognitive impairment or dementia. Future longitudinal studies with longer follow-ups are needed to understand whether olfactory decline precedes cognitive decline and whether it is mediated through regionally specific brain atrophy.
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Affiliation(s)
- Qu Tian
- From the Translational Gerontology Branch (Q.T., S.A.S., L.F.), National Institute on Aging, Baltimore, MD; Laboratory of Behavioral Neuroscience (Y.A., M.H.K.T., S.M.R.), National Institute on Aging, Baltimore, MD; and Department of Radiology (C.D.), University of Pennsylvania School of Medicine, Philadelphia.
| | - Yang An
- From the Translational Gerontology Branch (Q.T., S.A.S., L.F.), National Institute on Aging, Baltimore, MD; Laboratory of Behavioral Neuroscience (Y.A., M.H.K.T., S.M.R.), National Institute on Aging, Baltimore, MD; and Department of Radiology (C.D.), University of Pennsylvania School of Medicine, Philadelphia.
| | - Melissa H Kitner-Triolo
- From the Translational Gerontology Branch (Q.T., S.A.S., L.F.), National Institute on Aging, Baltimore, MD; Laboratory of Behavioral Neuroscience (Y.A., M.H.K.T., S.M.R.), National Institute on Aging, Baltimore, MD; and Department of Radiology (C.D.), University of Pennsylvania School of Medicine, Philadelphia
| | - Christos Davatzikos
- From the Translational Gerontology Branch (Q.T., S.A.S., L.F.), National Institute on Aging, Baltimore, MD; Laboratory of Behavioral Neuroscience (Y.A., M.H.K.T., S.M.R.), National Institute on Aging, Baltimore, MD; and Department of Radiology (C.D.), University of Pennsylvania School of Medicine, Philadelphia
| | - Stephanie A Studenski
- From the Translational Gerontology Branch (Q.T., S.A.S., L.F.), National Institute on Aging, Baltimore, MD; Laboratory of Behavioral Neuroscience (Y.A., M.H.K.T., S.M.R.), National Institute on Aging, Baltimore, MD; and Department of Radiology (C.D.), University of Pennsylvania School of Medicine, Philadelphia
| | - Luigi Ferrucci
- From the Translational Gerontology Branch (Q.T., S.A.S., L.F.), National Institute on Aging, Baltimore, MD; Laboratory of Behavioral Neuroscience (Y.A., M.H.K.T., S.M.R.), National Institute on Aging, Baltimore, MD; and Department of Radiology (C.D.), University of Pennsylvania School of Medicine, Philadelphia
| | - Susan M Resnick
- From the Translational Gerontology Branch (Q.T., S.A.S., L.F.), National Institute on Aging, Baltimore, MD; Laboratory of Behavioral Neuroscience (Y.A., M.H.K.T., S.M.R.), National Institute on Aging, Baltimore, MD; and Department of Radiology (C.D.), University of Pennsylvania School of Medicine, Philadelphia
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18
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Dong Y, Li Y, Liu K, Han X, Liu R, Ren Y, Cong L, Zhang Q, Hou T, Song L, Tang S, Shi L, Luo Y, Kalpouzos G, Laukka EJ, Winblad B, Wang Y, Du Y, Qiu C. Anosmia, mild cognitive impairment, and biomarkers of brain aging in older adults. Alzheimers Dement 2023; 19:589-601. [PMID: 36341691 DOI: 10.1002/alz.12777] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 06/14/2022] [Accepted: 07/21/2022] [Indexed: 11/10/2022]
Abstract
Olfactory impairment is a potential marker for prodromal dementia, but the underlying mechanisms are poorly understood. This population-based study included 4214 dementia-free participants (age ≥65 years). Olfaction was assessed using the 16-item Sniffin' Sticks identification test. In the subsamples, we measured plasma amyloid beta (Aβ)40, Aβ42, total tau, and neurofilament light chain (NfL; n = 1054); and quantified hippocampal, entorhinal cortex, and white matter hyperintensity (WMH) volumes, and Alzheimer's disease (AD)-signature cortical thickness (n = 917). Data were analyzed with logistic and linear regression models. In the total sample, mild cognitive impairment (MCI) was diagnosed in 1102 persons (26.2%; amnestic MCI, n = 931; non-amnestic MCI, n = 171). Olfactory impairment was significantly associated with increased likelihoods of MCI, amnestic MCI, and non-amnestic MCI. In the subsamples, anosmia was significantly associated with higher plasma total tau and NfL concentrations, smaller hippocampal and entorhinal cortex volumes, and greater WMH volume, and marginally with lower AD-signature cortical thickness. These results suggest that cerebral neurodegenerative and microvascular lesions are common neuropathologies linking anosmia with MCI in older adults.
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Affiliation(s)
- Yi Dong
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Yuanjing Li
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Keke Liu
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Xiaolei Han
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Rui Liu
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Yifei Ren
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Qinghua Zhang
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Tingting Hou
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Lin Song
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Shi Tang
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Lin Shi
- BrainNow Research Institute, Shenzhen, China.,Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yishan Luo
- BrainNow Research Institute, Shenzhen, China
| | - Grégoria Kalpouzos
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Erika J Laukka
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Bengt Winblad
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.,Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
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19
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Kamath V, Senjem ML, Spychalla AJ, Chen H, Palta P, Mosley TH, Windham BG, Griswold M, Knopman DS, Gottesman RF, Jack CR, Sharrett AR, Schneider AL. The Neuroanatomic Correlates of Olfactory Identification Impairment in Healthy Older Adults and in Persons with Mild Cognitive Impairment. J Alzheimers Dis 2022; 89:233-245. [PMID: 35871337 PMCID: PMC10134400 DOI: 10.3233/jad-220228] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
BACKGROUND Olfactory identification (OI) impairment appears early in the course of Alzheimer's disease dementia (AD), prior to detectable cognitive impairment. However, the neuroanatomical correlates of impaired OI in cognitively normal older adults (CN) and persons with mild cognitive impairment (MCI) are not fully understood. OBJECTIVE We examined the neuroanatomic correlates of OI impairment in older adults from the Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS). METHODS Our sample included 1,600 older adults without dementia who completed clinical assessment and structural brain imaging from 2011 to 2013. We characterized OI impairment using the 12-item Sniffin' Sticks odor identification test (score ≤6). We used voxel-based morphometry (VBM) and region of interest (ROI) analyses to examine the neuroanatomic correlates of impaired OI in CN and MCI, after adjusting for potential confounders. Analyses were also separately stratified by race and sex. RESULTS In CN, OI impairment was associated with smaller amygdala gray matter (GM) volume (p < 0.05). In MCI, OI impairment was associated with smaller GM volumes of the olfactory cortex, amygdala, entorhinal cortex, hippocampus, and insula (ps < 0.05). Differential associations were observed by sex in MCI; OI impairment was associated with lower insular GM volumes among men but not among women (p-interaction = 0.04). There were no meaningful interactions by race. CONCLUSION The brain regions associated with OI impairment in individuals without dementia are specifically those regions known to be the primary targets of AD pathogenic processes. These findings highlight the potential utility of olfactory assessment in the identification and stratification of older adults at risk for AD.
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Affiliation(s)
- Vidyulata Kamath
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Matthew L. Senjem
- Department of Radiology, Mayo Clinic, Rochester, MN
- Department of Information Technology, Mayo Clinic, Rochester, MN
| | | | - Honglei Chen
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI
| | - Priya Palta
- Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY
| | - Thomas H. Mosley
- The MIND Center, Department of Medicine, The University of Mississippi School of Medicine, Jackson, MI
| | - B. Gwen Windham
- The MIND Center, Department of Medicine, The University of Mississippi School of Medicine, Jackson, MI
| | - Michael Griswold
- The MIND Center, Department of Medicine, The University of Mississippi School of Medicine, Jackson, MI
| | | | - Rebecca F. Gottesman
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
| | | | - A. Richey Sharrett
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health; Baltimore, MD
| | - Andrea L.C. Schneider
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
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