Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/16367
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dc.contributor.authorLi, Qiao-Xin-
dc.contributor.authorVillemagne, Victor L-
dc.contributor.authorDoecke, James D-
dc.contributor.authorRembach, Alan-
dc.contributor.authorSarros, Shannon-
dc.contributor.authorVarghese, Shiji-
dc.contributor.authorMcGlade, Amelia-
dc.contributor.authorLaughton, Katrina M-
dc.contributor.authorPertile, Kelly K-
dc.contributor.authorFowler, Christopher J-
dc.contributor.authorRumble, Rebecca L-
dc.contributor.authorTrounson, Brett O-
dc.contributor.authorTaddei, Kevin-
dc.contributor.authorRainey-Smith, Stephanie R-
dc.contributor.authorLaws, Simon M-
dc.contributor.authorRobertson, Joanne S-
dc.contributor.authorEvered, Lisbeth A-
dc.contributor.authorSilbert, Brendan-
dc.contributor.authorEllis, Kathryn A-
dc.contributor.authorRowe, Christopher C-
dc.contributor.authorMacaulay, S Lance-
dc.contributor.authorDarby, David G-
dc.contributor.authorMartins, Ralph N-
dc.contributor.authorAmes, David-
dc.contributor.authorMasters, Colin L-
dc.contributor.authorCollins, Steven-
dc.date2015-05-29-
dc.date.accessioned2016-10-17T04:45:07Z-
dc.date.available2016-10-17T04:45:07Z-
dc.date.issued2015-
dc.identifier.citationJournal of Alzheimer's Disease 2015; 48(1): 175-187en
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/16367-
dc.description.abstractBackground: The cerebrospinal fluid (CSF) amyloid-β (Aβ)1-42, total-tau (T-tau), and phosphorylated-tau (P-tau181P) profile has been established as a valuable biomarker for Alzheimer’s disease (AD). Objective: The current study aimed to determine CSF biomarker cut-points using positron emission tomography (PET) Aβ imaging screened subjects from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging, as well as correlate CSF analyte cut-points across a range of PET Aβ amyloid ligands. Methods: Aβ pathology was determined by PET imaging, utilizing 11C-Pittsburgh Compound B, 18F-flutemetamol, or 18F-florbetapir, in 157 AIBL participants who also underwent CSF collection. Using an INNOTEST assay, cut-points were established (Aβ1-42 >544 ng/L, T-tau <407 ng/L, and P-tau181P <78 ng/L) employing a rank based method to define a “positive” CSF in the sub-cohort of amyloid-PET negative healthy participants (n = 97), and compared with the presence of PET demonstrated AD pathology. Results: CSF Aβ1-42 was the strongest individual biomarker, detecting cognitively impaired PET positive mild cognitive impairment (MCI)/AD with 85% sensitivity and 91% specificity. The ratio of P-tau181P or T-tau to Aβ1-42 provided greater accuracy, predicting MCI/AD with Aβ pathology with ≥92% sensitivity and specificity. Cross-validated accuracy, using all three biomarkers or the ratio of P-tau or T-tau to Aβ1-42 to predict MCI/AD, reached ≥92% sensitivity and specificity. Conclusions: CSF Aβ1-42 levels and analyte combination ratios demonstrated very high correlation with PET Aβ imaging. Our study offers additional support for CSF biomarkers in the early and accurate detection of AD pathology, including enrichment of patient cohorts for treatment trials even at the pre-symptomatic stage.en
dc.subjectAlzheimer diseaseen
dc.subjectAmyloid beta-peptidesen
dc.subjectPeptide fragments/cerebrovascular fluidsen
dc.titleAlzheimer’s disease normative cerebrospinal fluid biomarkers validated in PET amyloid-β characterized subjects from the Australian Imaging, Biomarkers and Lifestyle (AIBL) studyen
dc.typeJournal Articleen
dc.identifier.journaltitleJournal of Alzheimer's Diseaseen
dc.identifier.affiliationAustin Health, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationFlorey Institute of Neuroscience and Mental Health, The University of Melbourne, Victoria, Australiaen
dc.identifier.affiliationDepartment of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationCSIRO Digital Productivity/Australian e-Health Research Centre and Cooperative Research Centre for Mental Health, Brisbane, Queensland, Australiaen
dc.identifier.affiliationDepartment of Pathology, The University of Melbourne, Parkville, Victoria, Australiaen
dc.identifier.affiliationCentre of Excellence for Alzheimer’s Disease Research & Care, School of Medical Sciences, Edith Cowan University, Joondalup, Western Australia, Australiaen
dc.identifier.affiliationSir James McCusker Alzheimer’s Disease Research Unit (Hollywood Private Hospital), Perth, Western Australia, Australiaen
dc.identifier.affiliationCentre for Anaesthesia and Cognitive Function, Department of Anaesthesia, and Department of Surgery, St. Vincent’s Hospital, The University of Melbourne, Victoria, Australiaen
dc.identifier.affiliationThe University of Melbourne Academic Unit for Psychiatry of Old Age, St George’s Hospital, Kew, Victoria, Australiaen
dc.identifier.affiliationCSIRO Food and Nutrition Flagship, Parkville, Victoria, Australiaen
dc.identifier.affiliationSchool of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, Western Australia, Australiaen
dc.identifier.affiliationNational Ageing Research Institute, Parkville, Victoria, Australiaen
dc.identifier.pubmedurihttps://pubmed.ncbi.nlm.nih.gov/26401938en
dc.identifier.doi10.3233/JAD-150247en
dc.type.contentTexten
dc.identifier.orcid0000-0003-3910-2453en
dc.type.austinJournal Articleen_US
local.name.researcherMasters, Colin L
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeJournal Article-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptMolecular Imaging and Therapy-
crisitem.author.deptMolecular Imaging and Therapy-
crisitem.author.deptThe Florey Institute of Neuroscience and Mental Health-
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