Home Medicine Diagnostic performances and cut-off verification of blood pTau 217 on the Lumipulse platform for amyloid deposition in Alzheimer’s disease
Article Open Access

Diagnostic performances and cut-off verification of blood pTau 217 on the Lumipulse platform for amyloid deposition in Alzheimer’s disease

  • Giulia Musso ORCID logo EMAIL logo , Carlo Gabelli , Annachiara Cagnin , Chiara Cosma , Diego Cecchin , Giovanni Zorzi , Martina Zaninotto , Valentina Misenti , Angelo Antonini , Mario Plebani ORCID logo and Daniela Basso ORCID logo
Published/Copyright: November 13, 2024

To the Editor,

Phosphorylated tau at threonine 217 (pTau 217) has been until recently considered a promising biomarker for predicting the risk of developing Alzheimer’s disease (AD) [1], while compelling evidence has finally been collected to demonstrate its reliability as a diagnostic marker in primary and secondary care settings [2]. This paradigm shift has been already embodied by the Alzheimer’s Association revised criteria for diagnosis and staging of AD [3] that have included plasma pTau 217 among both the core diagnostic and prognostic biomarkers, highlighting the preeminent need for a biological definition of the diagnosis rather than the syndromic presentation.

Blood-based biomarkers have been considered as the most significant diagnostic advance in the very last years [3], and are being implemented, along with the cerebrospinal fluid (CSF) biomarkers that are currently approved as in vitro diagnostic (IVD) tests for clinical use, i.e. Amyloid-β1-42 (AB 1–42), Amyloid-β1-40 (AB 1–40), pTau 181, in the diagnostic, staging and prognostic settings [4].

Largest cohorts have been tested for plasma pTau 217 with mass spectrometry (MS) assays [2], and more recently, an automated chemiluminescence method has also proved to be reliable and accurate in diagnosing AD [5] and predicting brain amyloid status [6], although a single cut-off that achieved ≥90 % in both sensitivity and specificity has not been found [5], 6], except for one study reporting 0.23 ng/L as discriminant cut-off for patients with both amyloid and tau pathology against no pathology according to CSF biomarkers [7].

Here we report the results of a preliminary study aiming to verify the diagnostic performances of the automated platform Lumipulse pTau 217 assay (Fujirebio Diagnostics, Japan), and particularly its association to amyloid pathology, and identify a clinical cut-off for AD diagnosis in a group of cognitively impaired subjects.

Twenty seven patients (median age 68 years, range 46–83) studied for suspected cognitive impairment were evaluated at the Regional Brain Aging Center and at the Neurology Clinic of University-Hospital of Padova, where a complete clinical workup involved also lumbar puncture for CSF AD biomarkers testing, amyloid positron emission tomography combined with brain MRI (PET/MRI) and blood drawing as standard of care. Patients were classified according to their amyloid PET status in A+ and A; also, after a full clinical evaluation and according to their CSF results, patients were diagnosed as having AD (AD+) or other neurodegenerative diseases (AD, i.e. cerebral amyloid angiopathy, frontotemporal dementia, corticobasal degeneration, Niemann-Pick disease).

pTau 217 was tested in K-2 ethylenediaminetetraacetic acid plasma or serum samples with a research use only (RUO) method on Lumipulse G1200 lot number 4080 having as measuring range 0.030–10.000 ng/L. Samples were frozen diagnostic leftovers that were aliquoted in polypropylene tubes; analyses were performed after thawing at room temperature for at least 30 min, vortexing for 10 s and centrifuging at 2,000 g for 5 min following manufacturer’s specifications. Manufacturer’s quality controls (QC) lot number D6C5034 (level 1 target mean 0.476 ± 0.095, level 2 target mean 3.777 ± 0.755) were tested in each analytical run, resulting within manufacturer’s specifications with a CV <5 % for both levels, confirming the previous reported variability [6].

pTau 217 concentrations were summarized as range, mean ± standard deviation, median and interquartile range (IQR); mean values of pTau217 in A+/A and AD+/AD were reported and compared with one-way ANOVA and Bonferroni test; correlation between pTau217 and AB 1–42/1–40 ratio levels and with age was tested with Spearman’s rank test. Diagnostic accuracy was calculated with receiver operating characteristic (ROC) curves analysis with confidence (CI) intervals 95 %; Youden’s index cutoff was reported. Results of pTau217 were classified in negative/positive according to the best cutoff and we calculated sensitivity (Se%), specificity (Sp%), positive and negative predictive values (PPV and NPV) and the overall accuracy for the identification of PET-defined A+ status. Analyses were performed on Stata SE v. 13.0.

In the whole cohort pTau 217 concentration ranged 0.03–1.353 ng/L, mean 0.398 ± 0.367, median 0.242 (IQR 0.08–0.664); mean concentrations were not different between males and females (p=0.45) and pTau 217 levels were not correlated to age (p=0.67). PTau 217 concentrations were significantly correlated to AB 1–42/1–40 ratio (Spearman’s rho =−0.64, p=0.004). In A+ patients (n. 14) mean concentration was 0.656 ± 0.338 ng/L, in A (n. 11) it was 0.108 ± 0.069 ng/L, they were significantly different (p<0.0001). When the final diagnosis was established, n. Fifteen patients were AD+ and had a mean concentration of 0.633 ± 0.337 ng/L, significantly different from AD patients (n. 11) 0.107 ± 0.069 ng/L (p<0.0001).

ROC AUC for the identification of A+/A status was 0.99 (CI 0.98-1) (Figure 1), Youden’s best cutoff was 0.242 ng/L.

Figure 1: 
ROC curve for the identification of amyloid positive PET status (A+) with blood pTau 217.
Figure 1:

ROC curve for the identification of amyloid positive PET status (A+) with blood pTau 217.

Diagnostic performances of pTau 217 at the 0.242 ng/L best cutoff are reported in Table 1: Se% was 92.9 % for A+/A status and Sp% was 100 %, with a positive predictive value (PPV) also of 100 %.

Table 1:

Diagnostic performances of pTau 217 with cutoff 0.242 ng/L for the identification of A+/A PET status; overall accuracy was calculated as (true positive+true negative)/total number of patientsa100.

A+/A PET status
95 % confidence intervals (CI)
Sensitivity 92.9 % 82.8–100 %
Specificity 100 % 100–100 %
Positive predictive value 100 % 100–100 %
Negative predictive value 91.7 % 80.8–100 %
Overall accuracy 96 %

In our study pTau 217 had higher AUC than those previously reported by Arranz with the same assay (0.99 vs. 0.95 for AD+ and 0.94 for A+) [5] and Figdore (0.93) [6], though this effect might be due to the lower number of subjects included in our study. Nevertheless, the cut-off identified by Arranz with the highest diagnostic accuracy to detect A+ participant according to CSF biomarkers was 0.247 ng/L, very close to our finding [5], while Figdore identified 0.229 ng/L as best cut-off for prediction of amyloid PET positivity [6], also very close if considering a potential variability of 5 %.

A two-step cut-offs approach has been recently proposed [8] to optimize the diagnostic value and enhance sensitivity and specificity [6]; this approach could not be evaluated in this preliminary study, but future efforts from laboratory professionals should address this issue that has been raised by neurologists [9] particularly when evaluating this assay in different settings as primary and secondary care context [2], 9].

Blood pTau 217 has been recently highlighted as one of the most convincing AD blood biomarkers, our preliminary results confirm that it might be a promising minimally invasive tool to identify brain amyloid pathology and possibly accelerate the diagnosis of AD and/or reduce the load of more invasive, expensive and time-consuming procedures as lumbar puncture and PET. Nevertheless, the role of pTau 217 in the monitoring of response to disease-modifying drugs has not been yet clarified and therefore more comparison studies using PET as gold standard in this setting are to be deemed.

Moreover, beside the reported imprecision of CV <5 % the analytical performances of this assay are still to be verified, using different reagent lots and on higher number of analytical runs, as manufacturer has not yet provided any data on intra- or inter-assay imprecision; also, although no reference measurement procedures are currently defined [1], bias against MS method might be calculated. Likewise, pre-analytical conditions should be specifically evaluated, to exclude possible confounding factors e.g. hemolysis and storage temperature that have been previously found to be critical for blood pTau 181 on the same platform [10].

These encouraging results prompt to expand the studies on this biomarker with increased number of subjects, which is the main limitation of this preliminary study, and deeper comparison to CSF biomarkers and PET; blood pTau 217 might represent a turning point for the diagnosis of AD and the future management of upcoming disease-modifying drugs.


Corresponding author: Dr. Giulia Musso, MD, PhD, Department of Medicine – DIMED, University of Padova, via Giustiniani, 2, 35128 Padova, Italy; and Laboratory Medicine, University-Hospital of Padova, Padova, Italy, E-mail:

  1. Research ethics: Study protocol CE:3950/AO/2016.

  2. Informed consent: Informed consent was obtained from all individuals included in this study, or their legal guardians or wards.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: A.A. has received compensation for consultancy and speaker related activities from UCB, Britannia, AbbVie, Zambon, Bial, Neuroderm, Theravance Biopharma, Roche; he receives research support from Horizon 2020 - Ministry of Education University and Research (MIUR), Ministry of Health, Cariparo Foundation, Fondazione Grigioni per il Morbo di Parkinson. All other authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: The datasets generated during the current study are available from the corresponding author on reasonable request.

References

1. Telser, J, Risch, L, Saely, CH, Grossmann, K, Werner, P. P-tau217 in Alzheimer’s disease. Clin Chim Acta 2022;531:100–11. https://doi.org/10.1016/j.cca.2022.03.018.Search in Google Scholar PubMed

2. Palmqvist, S, Tideman, P, Mattsson-Carlgren, N, Schindler, SE, Smith, R, Ossenkoppele, R, et al.. Blood biomarkers to detect Alzheimer Disease in primary care and secondary care. JAMA 2024;28:e2413855.10.1002/alz.088404Search in Google Scholar

3. Jack, CRJr, Andrews, JS, Beach, TG, Buracchio, T, Dunn, B, Graf, A, et al.. Revised criteria for diagnosis and staging of Alzheimer’s disease: Alzheimer’s association workgroup. Alzheimers Dement 2024;20:5143–69. https://doi.org/10.1002/alz.13859.Search in Google Scholar PubMed PubMed Central

4. Teunissen, CE, Verberk, IMW, Thijssen, EH, Vermunt, L, Hansson, O, Zetterberg, H, et al.. Blood-based biomarkers for Alzheimer’s disease: towards clinical implementation. Lancet Neurol 2022;21:66–77. https://doi.org/10.1016/s1474-4422(21)00361-6.Search in Google Scholar PubMed

5. Arranz, J, Zhu, N, Rubio-Guerra, S, Rodríguez-Baz, Í, Ferrer, R, Carmona-Iragui, M, et al.. Diagnostic performance of plasma pTau217, pTau181, Aβ1–42 and Aβ1–40 in the LUMIPULSE automated platform for the detection of Alzheimer disease. Alzheimer’s Res Ther 2024;16:139. Erratum in: Alzheimers Res Ther 2024;16:168. https://doi.org/10.1186/s13195-024-01513-9.Search in Google Scholar PubMed PubMed Central

6. Figdore, DJ, Griswold, M, Bornhorst, JA, Graff-Radford, J, Ramanan, VK, Vemuri, P, et al.. Optimizing cutpoints for clinical interpretation of brain amyloid status using plasma p-tau217 immunoassays. Alzheimers Dement 2024;20:6506–16. https://doi.org/10.1002/alz.14140.10.1002/alz.14140Search in Google Scholar PubMed PubMed Central

7. Cecchetti, G, Agosta, F, Rugarli, G, Spinelli, EG, Ghirelli, A, Zavarella, M, et al.. Diagnostic accuracy of automated Lumipulse plasma pTau-217 in Alzheimer’s disease: a real-world study. J Neurol 2024;271:6739–49. https://doi.org/10.1007/s00415-024-12631-7.10.1007/s00415-024-12631-7Search in Google Scholar PubMed

8. Barthélemy, NR, Salvadó, G, Schindler, SE, He, Y, Janelidze, S, Collij, LE, et al.. Highly accurate blood test for Alzheimer’s disease is similar or superior to clinical cerebrospinal fluid tests. Nat Med 2024;30:1085–95. https://doi.org/10.1038/s41591-024-02869-z.Search in Google Scholar PubMed PubMed Central

9. Schindler, SE, Galasko, D, Pereira, AC, Rabinovici, GD, Salloway, S, Suárez-Calvet, M, et al.. Acceptable performance of blood biomarker tests of amyloid pathology - recommendations from the Global CEO Initiative on Alzheimer’s Disease. Nat Rev Neurol 2024;20:426–39. https://doi.org/10.1038/s41582-024-00977-5.Search in Google Scholar PubMed

10. Musso, G, Cosma, C, Zaninotto, M, Gabelli, C, Basso, D, Plebani, M. Pre-analytical variability of the Lumipulse immunoassay for plasma biomarkers of Alzheimer’s disease. Clin Chem Lab Med 2022;61:e53–6. https://doi.org/10.1515/cclm-2022-0770.Search in Google Scholar PubMed

Received: 2024-09-16
Accepted: 2024-11-06
Published Online: 2024-11-13
Published in Print: 2025-03-26

© 2024 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Beyond test results: the strategic importance of metadata for the integration of AI in laboratory medicine
  4. Reviews
  5. Reference, calibration and referral laboratories – a look at current European provisions and beyond
  6. How has the external quality assessment/proficiency testing of semen analysis been developed in the past 34 years: a review
  7. Opinion Papers
  8. Data flow in clinical laboratories: could metadata and peridata bridge the gap to new AI-based applications?
  9. A comprehensive survey of artificial intelligence adoption in European laboratory medicine: current utilization and prospects
  10. Guidelines and Recommendations
  11. Guidelines for the correct use of the nomenclature of biochemical indices of bone status: a position statement of the Joint IOF Working Group and IFCC Committee on Bone Metabolism
  12. Candidate Reference Measurement Procedures and Materials
  13. Absolute quantitation of human serum cystatin C: candidate reference method by 15N-labeled recombinant protein isotope dilution UPLC-MS/MS
  14. General Clinical Chemistry and Laboratory Medicine
  15. Performance evaluation of the introduction of full sample traceability system within the specimen collection process
  16. Pre-analytical stability of haematinics, lactate dehydrogenase and phosphate in whole blood at room temperature up to 24 h, and refrigerated serum stability of lactate dehydrogenase, folate and vitamin B12 up to 72 h using the CRESS checklist
  17. Comparison of capillary finger stick and venous blood sampling for 34 routine chemistry analytes: potential for in hospital and remote blood sampling
  18. Performance evaluation of enzymatic total bile acid (TBA) routine assays: systematic comparison of five fifth-generation TBA cycling methods and their individual bile acid recovery from HPLC-MS/MS reference
  19. Clinical performance of a new lateral flow immunoassay for xylazine detection
  20. Evaluation of revised UK-NEQAS CSF-xanthochromia method for subarachnoid hemorrhage: outcome data provide evidence for clinical value
  21. Strategies to verify equimolar peptide release in mass spectrometry-based protein quantification exemplified for apolipoprotein(a)
  22. Evaluation of the clinical performance of anti-mutated citrullinated vimentin antibody and 14-3-3 eta testing in rheumatoid arthritis
  23. Diagnostic performance of specific biomarkers for interstitial lung disease: a single center study
  24. Reference Values and Biological Variations
  25. Neonatal reference intervals for serum steroid hormone concentrations measured by LC-MS/MS
  26. Paediatric reference intervals for haematology parameters analysed on Sysmex XN-9000: a comparison of methods in the framework of indirect sampling
  27. Cardiovascular Diseases
  28. Analytical characteristics and performance of a new hs-cTnI method: a multicenter-study
  29. Diabetes
  30. Use of labile HbA1c as a screening tool to minimize clinical misinterpration of HbA1c
  31. Letters to the Editor
  32. Current trends and future projections in the clinical laboratory test market: implications for resource management and strategic planning
  33. Particulate matter in water: an overlooked source of preanalytical error producing erroneous chemistry test results
  34. “Activation” of macro-AST by pyridoxal-5-phosphate in the assay for aspartate aminotransferase
  35. The correlation of albumin with total protein concentrations in cerebrospinal fluid across three automated analysers – relevance to the diagnosis of subarachnoid haemorrhage in clinical chemistry practice
  36. Adult reference intervals for serum thyroid‐stimulating hormone using Abbott Alinity i measuring system
  37. Cell population data in venous thrombo-embolism and erysipelas: a potential diagnostic tool?
  38. Diagnostic performances and cut-off verification of blood pTau 217 on the Lumipulse platform for amyloid deposition in Alzheimer’s disease
  39. The first case of Teclistamab interference with serum electrophoresis and immunofixation
  40. Congress Abstracts
  41. Annual meeting of the Royal Belgian Society of Laboratory Medicine (RBSLM): “A Neurological Journey: Brain Teasers for Laboratory Medicine”
Downloaded on 12.12.2025 from https://www.degruyterbrill.com/document/doi/10.1515/cclm-2024-1091/html
Scroll to top button