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Kuchenbecker LA, Thompson KJ, Hurst CD, Opdenbosch BM, Heckman MG, Reddy JS, Nguyen T, Casellas HL, Sotelo KD, Reddy DJ, Lucas JA, Day GS, Willis FB, Graff-Radford N, Ertekin-Taner N, Kalari KR, Carrasquillo MM. Nomination of a novel plasma protein biomarker panel capable of classifying Alzheimer's disease dementia with high accuracy in an African American cohort. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.27.605373. [PMID: 39131392 PMCID: PMC11312441 DOI: 10.1101/2024.07.27.605373] [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] [Indexed: 08/13/2024]
Abstract
Introduction African Americans (AA) are widely underrepresented in plasma biomarker studies for Alzheimer's disease (AD) and current diagnostic biomarker candidates do not reflect the heterogeneity of AD. Methods Untargeted proteome measurements were obtained using the SomaScan 7k platform to identify novel plasma biomarkers for AD in a cohort of AA clinically diagnosed as AD dementia (n=183) or cognitively unimpaired (CU, n=145). Machine learning approaches were implemented to identify the set of plasma proteins that yields the best classification accuracy. Results A plasma protein panel achieved an area under the curve (AUC) of 0.91 to classify AD dementia vs CU. The reproducibility of this finding was observed in the ANMerge plasma and AMP-AD Diversity brain datasets (AUC=0.83; AUC=0.94). Discussion This study demonstrates the potential of biomarker discovery through untargeted plasma proteomics and machine learning approaches. Our findings also highlight the potential importance of the matrisome and cerebrovascular dysfunction in AD pathophysiology.
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Affiliation(s)
- Lindsey A. Kuchenbecker
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Center for Clinical and Translational Science, Mayo Clinic, Rochester, MN, USA
| | - Kevin J. Thompson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | | | - Michael G. Heckman
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Joseph S. Reddy
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Thuy Nguyen
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | - Katie D. Sotelo
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Delila J. Reddy
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - John A. Lucas
- Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL, USA
| | - Gregory S. Day
- Department of Neurology, Mayo Clinic, Jacksonville, FL, USA
| | - Floyd B. Willis
- Department of Family Medicine, Mayo Clinic, Jacksonville, FL USA
| | | | - Nilufer Ertekin-Taner
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Department of Neurology, Mayo Clinic, Jacksonville, FL, USA
| | - Krishna R. Kalari
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
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Donnelly CG, Johnson AL, Reed S, Finno CJ. Cerebrospinal fluid and serum proteomic profiles accurately distinguish neuroaxonal dystrophy from cervical vertebral compressive myelopathy in horses. J Vet Intern Med 2023; 37:689-696. [PMID: 36929645 DOI: 10.1111/jvim.16660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 02/03/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND Cervical vertebral compressive myelopathy (CVCM) and equine neuroaxonal dystrophy/degenerative myeloencephalopathy (eNAD/EDM) are leading causes of spinal ataxia in horses. The conditions can be difficult to differentiate, and there is currently no diagnostic modality that offers a definitive antemortem diagnosis. OBJECTIVE Evaluate novel proteomic techniques and machine learning algorithms to predict biomarkers that can aid in the antemortem diagnosis of noninfectious spinal ataxia in horses. ANIMALS Banked serum and cerebrospinal fluid (CSF) samples from necropsy-confirmed adult eNAD/EDM (n = 47) and CVCM (n = 25) horses and neurologically normal adult horses (n = 45). METHODS . A subset of serum and CSF samples from eNAD/EDM (n = 5) and normal (n = 5) horses was used to evaluate the proximity extension assay (PEA). All samples were assayed by PEA for 368 neurologically relevant proteins. Data were analyzed using machine learning algorithms to define potential diagnostic biomarkers. RESULTS Of the 368 proteins, 84 were detected in CSF and 146 in serum. Eighteen of 84 proteins in CSF and 30/146 in serum were differentially abundant among the 3 groups, after correction for multiple testing. Modeling indicated that a 2-protein test using CSF had the highest accuracy for discriminating among all 3 groups. Cerebrospinal fluid R-spondin 1 (RSPO1) and neurofilament-light (NEFL), in parallel, predicted normal horses with an accuracy of 87.18%, CVCM with 84.62%, and eNAD/EDM with 73.5%. MAIN LIMITATIONS Cross-species platform. Uneven sample size. CONCLUSIONS AND CLINICAL IMPORTANCE Proximity extension assay technology allows for rapid screening of equine biologic matrices for potential protein biomarkers. Machine learning analysis allows for unbiased selection of highly accurate biomarkers from high-dimensional data.
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Affiliation(s)
- Callum G Donnelly
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
| | - Amy L Johnson
- Department of Clinical Studies, New Bolton Center, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, Pennsylvania, USA
| | - Steve Reed
- Rood and Riddle Equine Hospital, Lexington, Kentucky, USA
| | - Carrie J Finno
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, California, USA
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3
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Deng P, Zhang H, Wang L, Jie S, Zhao Q, Chen F, Yue Y, Wang H, Tian L, Xie J, Chen M, Luo Y, Yu Z, Pi H, Zhou Z. Long-term cadmium exposure impairs cognitive function by activating lnc-Gm10532/m6A/FIS1 axis-mediated mitochondrial fission and dysfunction. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:159950. [PMID: 36336035 DOI: 10.1016/j.scitotenv.2022.159950] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 10/31/2022] [Accepted: 10/31/2022] [Indexed: 06/16/2023]
Abstract
Cadmium (Cd), a ubiquitous environmental contaminant, is deemed a possible aetiological cause of cognitive disorders in humans. Nevertheless, the exact mechanism by which chronic exposure to Cd causes neurotoxicity is not fully understood. In this study, mouse neuroblastoma cells (Neuro-2a cells) and primary hippocampal neurons were exposed to low-dose (1, 2, and 4 μM for Neuro-2a cells or 0.5, 1, and 1.5 μM for hippocampal neurons) cadmium chloride (CdCl2) for 72 h (h), and male mice (C57BL/6J, 8 weeks) were orally administered CdCl2 (0.6 mg/L, approximately equal to 2.58 μg/kg·bw/d) for 6 months to investigate the effects and mechanism of chronic Cd-induced neurotoxicity. Here, chronic exposure to Cd impaired mitochondrial function by promoting excess reactive oxygen species (ROS) production, altering mitochondrial membrane potential (Δψm) and reducing adenosine triphosphate (ATP) content, contributing to neuronal cell death. Specifically, microarray analysis revealed that the long noncoding RNA Gm10532 (lnc-Gm10532) was most highly expressed in Neuro-2a cells exposed to 4 μM CdCl2 for 72 h compared with controls, and inhibition of lnc-Gm10532 significantly antagonized CdCl2-induced mitochondrial dysfunction and neurotoxicity. Mechanistically, lnc-Gm10532 increased Fission 1 (FIS1) expression and mitochondrial fission by recruiting the m6A writer methyltransferase-like 14 (METTL14) and enhancing m6A modification of Fis1 mRNA. Moreover, lnc-Gm10532 was also required for chronic Cd-induced mitochondrial dysfunction and memory deficits in a rodent model. Therefore, data of this study reveal a new epigenetic mechanism of chronic Cd neurotoxicity.
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Affiliation(s)
- Ping Deng
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Third Military Medical University, Chongqing 400038, China
| | - Huadong Zhang
- Chongqing Center for Disease Control and Prevention, Chongqing 400042, China
| | - Liting Wang
- Biomedical Analysis Center, Third Military Medical University, Chongqing 400038, China
| | - Sheng Jie
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Third Military Medical University, Chongqing 400038, China
| | - Qi Zhao
- Chongqing Center for Disease Control and Prevention, Chongqing 400042, China
| | - Fengqiong Chen
- Chongqing Center for Disease Control and Prevention, Chongqing 400042, China
| | - Yang Yue
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Third Military Medical University, Chongqing 400038, China
| | - Hui Wang
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Third Military Medical University, Chongqing 400038, China
| | - Li Tian
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Third Military Medical University, Chongqing 400038, China
| | - Jia Xie
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Third Military Medical University, Chongqing 400038, China
| | - Mengyan Chen
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Third Military Medical University, Chongqing 400038, China
| | - Yan Luo
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Third Military Medical University, Chongqing 400038, China
| | - Zhengping Yu
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Third Military Medical University, Chongqing 400038, China
| | - Huifeng Pi
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Third Military Medical University, Chongqing 400038, China.
| | - Zhou Zhou
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400030, China; Department of Environmental Medicine, School of Public Health, and Department of Emergency Medicine, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China.
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4
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Zhao Y, Li L. Multimodal data integration via mediation analysis with high-dimensional exposures and mediators. Hum Brain Mapp 2022; 43:2519-2533. [PMID: 35129252 PMCID: PMC9057105 DOI: 10.1002/hbm.25800] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 01/06/2022] [Accepted: 01/23/2022] [Indexed: 12/28/2022] Open
Abstract
Motivated by an imaging proteomics study for Alzheimer's disease (AD), in this article, we propose a mediation analysis approach with high-dimensional exposures and high-dimensional mediators to integrate data collected from multiple platforms. The proposed method combines principal component analysis with penalized least squares estimation for a set of linear structural equation models. The former reduces the dimensionality and produces uncorrelated linear combinations of the exposure variables, whereas the latter achieves simultaneous path selection and effect estimation while allowing the mediators to be correlated. Applying the method to the AD data identifies numerous interesting protein peptides, brain regions, and protein-structure-memory paths, which are in accordance with and also supplement existing findings of AD research. Additional simulations further demonstrate the effective empirical performance of the method.
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Affiliation(s)
- Yi Zhao
- Department of Biostatistics and Health Data ScienceIndiana University School of MedicineIndianapolisIndianaUSA
| | - Lexin Li
- Department of Biostatistics and EpidemiologyUniversity of California, BerkeleyBerkeleyCaliforniaUSA
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5
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Drummond E, Kavanagh T, Pires G, Marta-Ariza M, Kanshin E, Nayak S, Faustin A, Berdah V, Ueberheide B, Wisniewski T. The amyloid plaque proteome in early onset Alzheimer's disease and Down syndrome. Acta Neuropathol Commun 2022; 10:53. [PMID: 35418158 PMCID: PMC9008934 DOI: 10.1186/s40478-022-01356-1] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 03/28/2022] [Indexed: 11/17/2022] Open
Abstract
Amyloid plaques contain many proteins in addition to beta amyloid (Aβ). Previous studies examining plaque-associated proteins have shown these additional proteins are important; they provide insight into the factors that drive amyloid plaque development and are potential biomarkers or therapeutic targets for Alzheimer's disease (AD). The aim of this study was to comprehensively identify proteins that are enriched in amyloid plaques using unbiased proteomics in two subtypes of early onset AD: sporadic early onset AD (EOAD) and Down Syndrome (DS) with AD. We focused our study on early onset AD as the drivers of the more aggressive pathology development in these cases is unknown and it is unclear whether amyloid-plaque enriched proteins differ between subtypes of early onset AD. Amyloid plaques and neighbouring non-plaque tissue were microdissected from human brain sections using laser capture microdissection and label-free LC-MS was used to quantify the proteins present. 48 proteins were consistently enriched in amyloid plaques in EOAD and DS. Many of these proteins were more significantly enriched in amyloid plaques than Aβ. The most enriched proteins in amyloid plaques in both EOAD and DS were: COL25A1, SMOC1, MDK, NTN1, OLFML3 and HTRA1. Endosomal/lysosomal proteins were particularly highly enriched in amyloid plaques. Fluorescent immunohistochemistry was used to validate the enrichment of four proteins in amyloid plaques (moesin, ezrin, ARL8B and SMOC1) and to compare the amount of total Aβ, Aβ40, Aβ42, phosphorylated Aβ, pyroglutamate Aβ species and oligomeric species in EOAD and DS. These studies showed that phosphorylated Aβ, pyroglutamate Aβ species and SMOC1 were significantly higher in DS plaques, while oligomers were significantly higher in EOAD. Overall, we observed that amyloid plaques in EOAD and DS largely contained the same proteins, however the amount of enrichment of some proteins was different in EOAD and DS. Our study highlights the significant enrichment of many proteins in amyloid plaques, many of which may be potential therapeutic targets and/or biomarkers for AD.
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Affiliation(s)
- Eleanor Drummond
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, 94 Mallett Street, Camperdown, NSW, Australia.
- Centre for Cognitive Neurology, Department of Neurology, New York University Grossman School of Medicine, Science Building, Rm 1017, 435 East 30th Street, New York, NY, 10016, USA.
| | - Tomas Kavanagh
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, 94 Mallett Street, Camperdown, NSW, Australia
| | - Geoffrey Pires
- Centre for Cognitive Neurology, Department of Neurology, New York University Grossman School of Medicine, Science Building, Rm 1017, 435 East 30th Street, New York, NY, 10016, USA
| | - Mitchell Marta-Ariza
- Centre for Cognitive Neurology, Department of Neurology, New York University Grossman School of Medicine, Science Building, Rm 1017, 435 East 30th Street, New York, NY, 10016, USA
| | - Evgeny Kanshin
- Proteomics Laboratory, Division of Advanced Research Technologies, New York University Grossman School of Medicine, New York, NY, USA
| | - Shruti Nayak
- Merck & Co., Inc, Computational & Structural Chemistry, Kenilworth, NJ, USA
| | - Arline Faustin
- Centre for Cognitive Neurology, Department of Neurology, New York University Grossman School of Medicine, Science Building, Rm 1017, 435 East 30th Street, New York, NY, 10016, USA
| | - Valentin Berdah
- Centre for Cognitive Neurology, Department of Neurology, New York University Grossman School of Medicine, Science Building, Rm 1017, 435 East 30th Street, New York, NY, 10016, USA
| | - Beatrix Ueberheide
- Centre for Cognitive Neurology, Department of Neurology, New York University Grossman School of Medicine, Science Building, Rm 1017, 435 East 30th Street, New York, NY, 10016, USA
- Proteomics Laboratory, Division of Advanced Research Technologies, New York University Grossman School of Medicine, New York, NY, USA
- Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY, USA
| | - Thomas Wisniewski
- Centre for Cognitive Neurology, Department of Neurology, New York University Grossman School of Medicine, Science Building, Rm 1017, 435 East 30th Street, New York, NY, 10016, USA.
- Departments of Pathology and Psychiatry, Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, USA.
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6
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Shi L, Buchanan CR, Cox SR, Hillary RF, Marioni RE, Campbell A, Hayward C, Stolicyn A, Whalley HC, Harris MA, Waymont J, Waiter G, Backhouse E, Wardlaw JM, Steele D, Mcintosh A, Lovestone S, Buckley NJ, Nevado‐Holgado AJ. Identification of plasma proteins relating to brain neurodegeneration and vascular pathology in cognitively normal individuals. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12240. [PMID: 34604499 PMCID: PMC8474123 DOI: 10.1002/dad2.12240] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 08/09/2021] [Accepted: 08/16/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION This study aims to first discover plasma proteomic biomarkers relating to neurodegeneration (N) and vascular (V) damage in cognitively normal individuals and second to discover proteins mediating sex-related difference in N and V pathology. METHODS Five thousand and thirty-two plasma proteins were measured in 1061 cognitively normal individuals (628 females and 433 males), nearly 90% of whom had magnetic resonance imaging measures of hippocampal volume (as N) and white matter hyperintensities (as V). RESULTS Differential protein expression analysis and co-expression network analysis revealed different proteins and modules associated with N and V, respectively. Furthermore, causal mediation analysis revealed four proteins mediated sex-related difference in N and one protein mediated such difference in V damage. DISCUSSION Once validated, the identified proteins could help to select cognitively normal individuals with N and V pathology for Alzheimer's disease clinical trials and provide targets for further mechanistic studies on brain sex differences, leading to sex-specific therapeutic strategies.
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Affiliation(s)
- Liu Shi
- Department of PsychiatryUniversity of OxfordOxfordUK
| | - Colin R. Buchanan
- Lothian Birth Cohorts GroupThe University of EdinburghEdinburghUK
- Department of PsychologyThe University of EdinburghEdinburghUK
- Scottish Imaging NetworkA Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
| | - Simon R. Cox
- Lothian Birth Cohorts GroupThe University of EdinburghEdinburghUK
- Department of PsychologyThe University of EdinburghEdinburghUK
- Scottish Imaging NetworkA Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
| | - Robert F. Hillary
- Centre for Genomic and Experimental MedicineInstitute of Genetics and Molecular MedicineUniversity of EdinburghEdinburghUK
| | - Riccardo E. Marioni
- Centre for Genomic and Experimental MedicineInstitute of Genetics and Molecular MedicineUniversity of EdinburghEdinburghUK
| | - Archie Campbell
- Centre for Genomic and Experimental MedicineInstitute of Genetics and Molecular MedicineUniversity of EdinburghEdinburghUK
| | - Caroline Hayward
- Centre for Genomic and Experimental MedicineInstitute of Genetics and Molecular MedicineUniversity of EdinburghEdinburghUK
- Medical Research Council Human Genetics UnitInstitute of Genetics and Molecular MedicineUniversity of EdinburghEdinburghUK
| | - Aleks Stolicyn
- Division of PsychiatryUniversity of EdinburghEdinburghUK
| | | | | | - Jennifer Waymont
- Aberdeen Biomedical Imaging CentreInstitute of Medical SciencesUniversity of AberdeenAberdeenUK
| | - Gordon Waiter
- Aberdeen Biomedical Imaging CentreInstitute of Medical SciencesUniversity of AberdeenAberdeenUK
| | - Ellen Backhouse
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
- Dementia Research InstituteUniversity of EdinburghEdinburghUK
| | - Joanna M. Wardlaw
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
- Dementia Research InstituteUniversity of EdinburghEdinburghUK
| | - Douglas Steele
- Division of Imaging Science and TechnologyMedical SchoolUniversity of DundeeScotlandUK
| | - Andrew Mcintosh
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
- Division of PsychiatryCentre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
| | - Simon Lovestone
- Department of PsychiatryUniversity of OxfordOxfordUK
- Janssen R&DLondonUK
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7
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Fernandez S, Burnham SC, Milicic L, Savage G, Maruff P, Peretti M, Sohrabi HR, Lim YY, Weinborn M, Ames D, Masters CL, Martins RN, Rainey-Smith S, Rowe CC, Salvado O, Groth D, Verdile G, Villemagne VL, Porter T, Laws SM. SPON1 Is Associated with Amyloid-β and APOE ε4-Related Cognitive Decline in Cognitively Normal Adults. J Alzheimers Dis Rep 2021; 5:111-120. [PMID: 33782664 PMCID: PMC7990462 DOI: 10.3233/adr-200246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Abstract.
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Affiliation(s)
- Shane Fernandez
- Australian Alzheimer's Research Foundation, Nedlands, Western Australia.,Collaborative Genomics and Translation Group, Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Samantha C Burnham
- Collaborative Genomics and Translation Group, Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,CSIRO Health and Biosecurity, Parkville, Victoria, Australia
| | - Lidija Milicic
- Collaborative Genomics and Translation Group, Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Greg Savage
- ARC Centre of Excellence in Cognition and its Disorders, Department of Psychology, Macquarie University, North Ryde, NSW, Australia
| | - Paul Maruff
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia.,CogState Ltd., Melbourne, Victoria, Australia
| | - Madeline Peretti
- Collaborative Genomics and Translation Group, Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Hamid R Sohrabi
- Australian Alzheimer's Research Foundation, Nedlands, Western Australia.,Centre for Healthy Ageing, Murdoch University, Murdoch, Western Australia, Australia.,Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia.,Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Yen Ying Lim
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Michael Weinborn
- Australian Alzheimer's Research Foundation, Nedlands, Western Australia.,Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,School of Psychological Science, University of Western Australia, Crawley, Western Australia, Australia
| | - David Ames
- Academic Unit for Psychiatry of Old Age, St. Vincent's Health, The University of Melbourne, Kew, Victoria, Australia.,National Ageing Research Institute, Parkville, Victoria, Australia
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Ralph N Martins
- Australian Alzheimer's Research Foundation, Nedlands, Western Australia.,Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia.,Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Stephanie Rainey-Smith
- Australian Alzheimer's Research Foundation, Nedlands, Western Australia.,Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Christopher C Rowe
- Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, Victoria, Australia.,Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia
| | - Olivier Salvado
- CSIRO Health and Biosecurity/Australian e-Health Research Centre, Herston, Queensland, Australia
| | - David Groth
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Giuseppe Verdile
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Victor L Villemagne
- Collaborative Genomics and Translation Group, Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, Victoria, Australia
| | - Tenielle Porter
- Collaborative Genomics and Translation Group, Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Simon M Laws
- Collaborative Genomics and Translation Group, Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
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