Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2023Two-year prognostic utility of plasma p217+tau across the Alzheimer’s continuum11citations

Places of action

Chart of shared publication
Mejan-Fripp, Jurgen
1 / 1 shared
Villemagne, Victor
1 / 2 shared
Kolb, Hartmuth
1 / 1 shared
Robertson, Jo
1 / 1 shared
Masters, Colin
1 / 2 shared
Martins, Ralph
1 / 2 shared
Huang, Kun
1 / 3 shared
Fowler, Christopher
1 / 1 shared
Feizpour, Azadeh
1 / 1 shared
Rowe, Christopher
1 / 1 shared
Doecke, James
1 / 1 shared
Bush, Ashley
1 / 1 shared
Rainey-Smith, Stephanie
1 / 1 shared
Saad, Ziad
1 / 1 shared
Triana-Baltzer, Gallen
1 / 1 shared
Slemmon, Randy
1 / 1 shared
Maruff, Paul
1 / 1 shared
Krishnadas, Natasha
1 / 1 shared
Chart of publication period
2023

Co-Authors (by relevance)

  • Mejan-Fripp, Jurgen
  • Villemagne, Victor
  • Kolb, Hartmuth
  • Robertson, Jo
  • Masters, Colin
  • Martins, Ralph
  • Huang, Kun
  • Fowler, Christopher
  • Feizpour, Azadeh
  • Rowe, Christopher
  • Doecke, James
  • Bush, Ashley
  • Rainey-Smith, Stephanie
  • Saad, Ziad
  • Triana-Baltzer, Gallen
  • Slemmon, Randy
  • Maruff, Paul
  • Krishnadas, Natasha
OrganizationsLocationPeople

article

Two-year prognostic utility of plasma p217+tau across the Alzheimer’s continuum

  • Mejan-Fripp, Jurgen
  • Villemagne, Victor
  • Kolb, Hartmuth
  • Robertson, Jo
  • Ward, Larry
  • Masters, Colin
  • Martins, Ralph
  • Huang, Kun
  • Fowler, Christopher
  • Feizpour, Azadeh
  • Rowe, Christopher
  • Doecke, James
  • Bush, Ashley
  • Rainey-Smith, Stephanie
  • Saad, Ziad
  • Triana-Baltzer, Gallen
  • Slemmon, Randy
  • Maruff, Paul
  • Krishnadas, Natasha
Abstract

Background: Plasma p217+tau has shown high concordance with cerebrospinal fluid (CSF) and positron emission tomography (PET) measures of amyloid-β (Aβ) and tau. However, its association with longitudinal cognition and comparative performance to PET Aβ and tau in predicting cognitive decline are unknown.Objectives: This study aimed to evaluate whether p217+tau can predict the rate of cognitive decline observed over two-year average follow-up and compare this to prediction based on Aβ (18F-NAV4694) and tau (18F-MK6240) PET. We also explored the sample size required to detect a 30% slowing in cognitive decline in a 2-year trial and selection test cost using p217+tau (pT+) as compared to PET Aβ (A+) and tau (T+) with and without p217+tau pre-screening.Design: A prospective observational cohort study.Setting: Participants of the Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL) and Australian Dementia Network (ADNeT).Participants: A total of 153 cognitively unimpaired (CU) and 50 cognitively impaired (CI) individuals.Measurements: Baseline p217+tau SIMOA assay, 18F-MK6240 tau-PET and 18F-NAV4694 Aβ-PET with neuropsychological follow-up (MMSE, CDR-SB, AIBL-PACC) over 2.4 ± 0.8 years.Results: In CI, p217+tau was a significant predictor of change in MMSE (β = -0.55, p < 0.001) and CDR-SB (β =0.61, p < 0.001) with an effect size similar to Aβ Centiloid (MMSE β = -0.48, p = 0.002; CDR-SB β = 0.43, p = 0.004) and MetaT tau SUVR (MMSE: β = -0.62, p < 0.001; CDR-SB: β = 0.65, p < 0.001). In CU, only MetaT tau SUVR was significantly associated with change in AIBL-PACC (β = -0.22, p = 0.008). Screening p217+tau positive (pT+) CI participants into a trial led to 24% reduction in sample size compared to screening with PET for A+ and 6-13% compared to screening with PET for T+ (different regions). This would translate to an 81-83% test cost-saving assuming the p217+tautest cost one-fifth of a PET scan. In a trial requiring PET A+ or T+, p217+tau pre-screening followed by PET in those who were pT+ would cost more in the CI group, compared to 30-38% test cost-saving in the CU.Conclusions: Substantial cost reduction can be achieved using p217+tau alone to select participants with MCI or mild dementia for a clinical trial designed to slow cognitive decline over two years, compared to participant selection by PET. In pre-clinical trials, p217+tau provides significant cost-saving if used as a pre-screening measure for PET A+ or T+ but in MCI/mild dementia cohort trials this may add to cost both in testing and in the increased number of participants needed for testing.

Topics
  • tomography
  • aging
  • chemical ionisation