IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-46603-2.html
   My bibliography  Save this article

A blood-based biomarker workflow for optimal tau-PET referral in memory clinic settings

Author

Listed:
  • Wagner S. Brum

    (the Sahlgrenska Academy at the University of Gothenburg
    Universidade Federal do Rio Grande do Sul (UFRGS))

  • Nicholas C. Cullen

    (Faculty of Medicine, Lund University
    Lund University)

  • Joseph Therriault

    (McGill University, Verdun
    Faculty of Medicine, McGill University)

  • Shorena Janelidze

    (Faculty of Medicine, Lund University)

  • Nesrine Rahmouni

    (McGill University, Verdun
    Faculty of Medicine, McGill University)

  • Jenna Stevenson

    (McGill University, Verdun
    Faculty of Medicine, McGill University)

  • Stijn Servaes

    (McGill University, Verdun
    Faculty of Medicine, McGill University)

  • Andrea L. Benedet

    (the Sahlgrenska Academy at the University of Gothenburg)

  • Eduardo R. Zimmer

    (Universidade Federal do Rio Grande do Sul (UFRGS)
    McGill University, Verdun
    Universidade Federal do Rio Grande do Sul (UFRGS)
    Universidade Federal do Rio Grande do Sul (UFRGS))

  • Erik Stomrud

    (Faculty of Medicine, Lund University
    Skåne University Hospital)

  • Sebastian Palmqvist

    (Faculty of Medicine, Lund University
    Skåne University Hospital)

  • Henrik Zetterberg

    (the Sahlgrenska Academy at the University of Gothenburg
    Sahlgrenska University Hospital
    UCL Institute of Neurology, Queen Square
    UK Dementia Research Institute at UCL)

  • Giovanni B. Frisoni

    (Geneva University and University Hospital)

  • Nicholas J. Ashton

    (the Sahlgrenska Academy at the University of Gothenburg
    Psychology and Neuroscience Maurice Wohl Institute Clinical Neuroscience Institute
    NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation
    Stavanger University Hospital)

  • Kaj Blennow

    (the Sahlgrenska Academy at the University of Gothenburg
    Sahlgrenska University Hospital)

  • Niklas Mattsson-Carlgren

    (Faculty of Medicine, Lund University
    Lund University
    Skåne University Hospital)

  • Pedro Rosa-Neto

    (McGill University, Verdun
    Faculty of Medicine, McGill University)

  • Oskar Hansson

    (Faculty of Medicine, Lund University)

Abstract

Blood-based biomarkers for screening may guide tau positrion emissition tomography (PET) scan referrals to optimize prognostic evaluation in Alzheimer’s disease. Plasma Aβ42/Aβ40, pTau181, pTau217, pTau231, NfL, and GFAP were measured along with tau-PET in memory clinic patients with subjective cognitive decline, mild cognitive impairment or dementia, in the Swedish BioFINDER-2 study (n = 548) and in the TRIAD study (n = 179). For each plasma biomarker, cutoffs were determined for 90%, 95%, or 97.5% sensitivity to detect tau-PET-positivity. We calculated the percentage of patients below the cutoffs (who would not undergo tau-PET; “saved scans”) and the tau-PET-positivity rate among participants above the cutoffs (who would undergo tau-PET; “positive predictive value”). Generally, plasma pTau217 performed best. At the 95% sensitivity cutoff in both cohorts, pTau217 resulted in avoiding nearly half tau-PET scans, with a tau-PET-positivity rate among those who would be referred for a scan around 70%. And although tau-PET was strongly associated with subsequent cognitive decline, in BioFINDER-2 it predicted cognitive decline only among individuals above the referral cutoff on plasma pTau217, supporting that this workflow could reduce prognostically uninformative tau-PET scans. In conclusion, plasma pTau217 may guide selection of patients for tau-PET, when accurate prognostic information is of clinical value.

Suggested Citation

  • Wagner S. Brum & Nicholas C. Cullen & Joseph Therriault & Shorena Janelidze & Nesrine Rahmouni & Jenna Stevenson & Stijn Servaes & Andrea L. Benedet & Eduardo R. Zimmer & Erik Stomrud & Sebastian Palm, 2024. "A blood-based biomarker workflow for optimal tau-PET referral in memory clinic settings," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-46603-2
    DOI: 10.1038/s41467-024-46603-2
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-46603-2
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-46603-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Akaike, Hirotugu, 1981. "Likelihood of a model and information criteria," Journal of Econometrics, Elsevier, vol. 16(1), pages 3-14, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. María Ayuda & Fernando Collantes & Vicente Pinilla, 2010. "From locational fundamentals to increasing returns: the spatial concentration of population in Spain, 1787–2000," Journal of Geographical Systems, Springer, vol. 12(1), pages 25-50, March.
    2. Asghar, Zahid & Abid, Irum, 2007. "Performance of lag length selection criteria in three different situations," MPRA Paper 40042, University Library of Munich, Germany.
    3. Karakotsios, Achillefs & Katrakilidis, Constantinos & Kroupis, Nikolaos, 2021. "The dynamic linkages between food prices and oil prices. Does asymmetry matter?," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
    4. Ruiz Vargas, E. & Mitchell, D.G.V. & Greening, S.G. & Wahl, L.M., 2014. "Topology of whole-brain functional MRI networks: Improving the truncated scale-free model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 151-158.
    5. Fernandez, Carmen & Ley, Eduardo & Steel, Mark F. J., 2001. "Benchmark priors for Bayesian model averaging," Journal of Econometrics, Elsevier, vol. 100(2), pages 381-427, February.
    6. Farrell, Terence C. & Hopkins, David L., 2007. "A hedonic Model of Lamb Carcass Attributes," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 15.
    7. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    8. Morandi, Valentina & Malighetti, Paolo & Paleari, Stefano & Redondi, Renato, 2015. "Codesharing agreements by low-cost carriers: An explorative analysis," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 184-191.
    9. Simons, Andrew M. & Beltramo, Theresa & Blalock, Garrick & Levine, David I., 2017. "Using unobtrusive sensors to measure and minimize Hawthorne effects: Evidence from cookstoves," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 68-80.
    10. Wei Zhang & Sriram Dasu & Reza Ahmadi, 2017. "Higher Prices for Larger Quantities? Nonmonotonic Price–Quantity Relations in B2B Markets," Management Science, INFORMS, vol. 63(7), pages 2108-2126, July.
    11. Vladimir Mihajlović & Gordana Marjanović, 2020. "Asymmetries in effects of domestic inflation drivers in the Baltic States: a Phillips curve-based nonlinear ARDL approach," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 20(1), pages 94-116.
    12. Zolnik, Edmund, 2021. "Geographically weighted regression models of residential property transactions: Walkability and value uplift," Journal of Transport Geography, Elsevier, vol. 92(C).
    13. Kenneth P. Burnham & David R. Anderson, 2004. "Multimodel Inference," Sociological Methods & Research, , vol. 33(2), pages 261-304, November.
    14. Elizabeth S. Garrett & Scott L. Zeger, 2000. "Latent Class Model Diagnosis," Biometrics, The International Biometric Society, vol. 56(4), pages 1055-1067, December.
    15. Bushara, Mohammed O. A. & Abdelmahmod, Murtada Kh. A., 2016. "Efficiency of selected camel markets in Sudan: A multivariate approach (1995-2011)," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246910, African Association of Agricultural Economists (AAAE).
    16. Yikun Luo & Qipeng Chen & Jianyong Chen & Peida Zhan, 2024. "Development and validation of two shortened anxiety sensitive index-3 scales based on item response theory," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-7, December.
    17. Thi Mai Hoa Ha & Derrick Yong & Elizabeth Mei Yin Lee & Prathab Kumar & Yuan Kun Lee & Weibiao Zhou, 2017. "Activation and inactivation of Bacillus pumilus spores by kiloelectron volt X-ray irradiation," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-15, May.
    18. Dimitrios Gounopoulos & Kyriaki Kosmidou & Dimitrios Kousenidis & Victoria Patsika, 2019. "The investigation of the dynamic linkages between real estate market and stock market in Greece," The European Journal of Finance, Taylor & Francis Journals, vol. 25(7), pages 647-669, May.
    19. Mati, Sagiru, 2021. "Do as your neighbours do? Assessing the impact of lockdown and reopening on the active COVID-19 cases in Nigeria," Social Science & Medicine, Elsevier, vol. 270(C).
    20. Francisco Venegas & Enrique de Alba, 1995. "An Economist´s guide to the Kalman filter," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 10(2), pages 123-145.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-46603-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.