Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Aug 19;16(1):186.
doi: 10.1186/s13195-024-01555-z.

Performance of plasma p-tau217 for the detection of amyloid-β positivity in a memory clinic cohort using an electrochemiluminescence immunoassay

Affiliations

Performance of plasma p-tau217 for the detection of amyloid-β positivity in a memory clinic cohort using an electrochemiluminescence immunoassay

Adam H Dyer et al. Alzheimers Res Ther. .

Abstract

Background: Plasma p-tau217 has emerged as the most promising blood-based marker (BBM) for the detection of Alzheimer Disease (AD) pathology, yet few studies have evaluated plasma p-tau217 performance in memory clinic settings. We examined the performance of plasma p-tau217 for the detection of AD using a high-sensitivity immunoassay in individuals undergoing diagnostic lumbar puncture (LP).

Methods: Paired plasma and cerebrospinal fluid (CSF) samples were analysed from the TIMC-BRAiN cohort. Amyloid (Aβ) and Tau (T) pathology were classified based on established cut-offs for CSF Aβ42 and CSF p-tau181 respectively. High-sensitivity electrochemiluminescence (ECL) immunoassays were performed on paired plasma/CSF samples for p-tau217, p-tau181, Glial Fibrillary Acidic Protein (GFAP), Neurofilament Light (NfL) and total tau (t-tau). Biomarker performance was evaluated using Receiver-Operating Curve (ROC) and Area-Under-the-Curve (AUC) analysis.

Results: Of 108 participants (age: 69 ± 6.5 years; 54.6% female) with paired samples obtained at time of LP, 64.8% (n = 70/108) had Aβ pathology detected (35 with Mild Cognitive Impairment and 35 with mild dementia). Plasma p-tau217 was over three-fold higher in Aβ + (12.4 pg/mL; 7.3-19.2 pg/mL) vs. Aβ- participants (3.7 pg/mL; 2.8-4.1 pg/mL; Mann-Whitney U = 230, p < 0.001). Plasma p-tau217 exhibited excellent performance for the detection of Aβ pathology (AUC: 0.91; 95% Confidence Interval [95% CI]: 0.86-0.97)-greater than for T pathology (AUC: 0.83; 95% CI: 0.75-0.90; z = 1.75, p = 0.04). Plasma p-tau217 outperformed plasma p-tau181 for the detection of Aβ pathology (z = 3.24, p < 0.001). Of the other BBMs, only plasma GFAP significantly differed by Aβ status which significantly correlated with plasma p-tau217 in Aβ + (but not in Aβ-) individuals. Application of a two-point threshold at 95% and 97.5% sensitivities & specificities may have enabled avoidance of LP in 58-68% of cases.

Conclusions: Plasma p-tau217 measured using a high-sensitivity ECL immunoassay demonstrated excellent performance for detection of Aβ pathology in a real-world memory clinic cohort. Moving forward, clinical use of plasma p-tau217 to detect AD pathology may substantially reduce need for confirmatory diagnostic testing for AD pathology with diagnostic LP in specialist memory services.

Keywords: Alzheimer disease; Amyloid; Blood-based markers; Cerebrospinal fluid; Diagnosis; P-tau217.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
P-tau217 Exhibits Excellent Performance for the Detection of Aβ Pathology in Individuals with MCI/Dementia. Plasma p-tau217 was measured in 108 individuals undergoing diagnostic lumbar puncture for the detection of Alzheimer Disease pathology. Paired plasma samples were analysed for p-tau217. A (i) P-tau217 was nearly four-fold higher in Aβ + vs Aβ- individuals (Mann–Whitney U = 230; p < 0.001). The red dotted line indicates the Youden optimised cut-off. (A) (ii) p-tau217 exhibited excellent performance in the detection of Aβ + status (Area-Under the Curve [AUC]: 0.91; 0.86–0.97). B (i) P-tau217 was significantly elevated in T + vs T- individuals. (ii) Performance of p-tau217 for detection of T + pathology alone gave an AUC of 0.83 (0.75–0.90) which was significantly lower than that for Aβ positivity (DeLong test, p = 0.04). C (i) Significant differences were not seen in concentrations of p-tau217 between A- T- and A- T + individuals or between A + T- and A + T + individuals supporting the role of p-tau217 as a marker of amyloid positivity. (ii)For Aβ + individuals, concentrations were significantly higher (p = 0.03) in individuals with dementia vs MCI due to AD. D (i) CSF p-tau217 was significantly higher in individuals with Aβ positivity. (ii) CSF p-tau217 had lower performance than plasma p-tau217 with an AUC 0.83 (0.75–0.91) with a trend for statistical significance (p = 0.05). (iii) Significant correlations were observed between CSF and plasma p-tau in individuals with Aβ positivity. ****p < 0.0001, ***p < 0.001, ** < 0.01, *p < 0.05, ns: non-significant; AUC: Area-Under-the-Curve
Fig. 2
Fig. 2
Exploration of Two-Point Thresholds for Plasma p-tau217. A In order to examine different thresholds of sensitivity and specificity, we considered performance of plasma p-tau217 at three thresholds: (i) 90% sensitivity and 90% specificity; (ii) 95% sensitivity and 95% specificity; (iii) 97.5% sensitivity. Those above these specificity and below these sensitivity cut-offs were judged to have high risk and low risk of CSF-determined Aβ positivity respectively. Shaded areas indicate those in the intermediate category, with scores above the specified sensitivity cut-off but below the specificity cut off. B Tabular results obtained by applying these cut-offs indicating low, intermediate and high risk of CSF-determined Aβ, presented by CSF-defined Aβ status. C Positive Predictive Accuracy (PPA), Negative Predictive Accuracy (NPA) and Overall Percent Agreement for p-tau217 positive and negative participants are provided at each threshold
Fig. 3
Fig. 3
P-tau217 Outperforms p-tau181 for the Detection of Aβ Positivity in Individuals with MCI/Dementia. Plasma samples were analysed for both p-tau181 and p-tau217. A P-tau181 was 1.7 times higher in Aβ + vs Aβ- individuals (Mann–Whitney U = 661; p < 0.001). B p-tau181 exhibited inferior performance than p-tau217 in the detection of Aβ + status (Area-Under the Curve [AUC]: 0.91; 0.86–0.97 for p-tau217 vs 0.72; 0.62–0.83, DeLong test p < 0.001). C Significant differences were not seen in concentrations of p-tau181 between A- T- and A- T + individuals or between A + T- and A + T + individuals. D There were no significant differences between dementia and MCI for either Aβ + or Aβ – groups. E Significant correlations were seen between plasma p-tau181 and plasma p-tau217 in Aβ + (Spearman’s R = 0.60, p < 0.001) but not Aβ – (Spearman’s R = 0.16, p = 0.34) individuals. F Significant correlations were seen between CSF p-tau181 and plasma p-tau217 again in Aβ + (Spearman’s R = 0.63, p < 0.001) but not Aβ – (Spearman’s R = 0.10, p = 0.60) individuals. ****p < 0.0001, ***p < 0.001, ** < 0.01, *p < 0.05, ns: non-significant; AUC: Area-Under-the-Curve
Fig. 4
Fig. 4
Plasma P-tau217 is Significantly Correlated with Plasma GFAP, Plasma Total-tau and CSF Total-tau in Aβ + Individuals. Plasma and CSF samples were additionally analysed for Glial Fibrillary Acidic Protein (GFAP), Neurofilament Light (NfL) and Total tau (t-tau). A (i) Plasma GFAP significantly differed between Aβ + vs Aβ- individuals (U = 811, p = 0.004) (i-vi) None of the additional markers differed in Aβ + vs Aβ – individuals. B (i) Significant correlations were observed between plasma GFAP in Aβ + but not Aβ – individuals. (ii, v) No correlations were seen between plasma or CSF NfL and plasma p-tau217. (iv) CSF GFAP did not correlate with plasma p-tau217. (iii, vi) Significant correlations were seen between plasma p-tau217 and both plasma and CSF t-tau in Aβ + but not Aβ – individuals. ****p < 0.0001, ***p < 0.001, ** < 0.01, *p < 0.05, ns: non-significant

References

    1. Dubois B, Villain N, Frisoni GB, Rabinovici GD, Sabbagh M, Cappa S, et al. Clinical diagnosis of Alzheimer’s disease: recommendations of the International Working Group. Lancet Neurol. 2021;20(6):484–96. 10.1016/S1474-4422(21)00066-1 - DOI - PMC - PubMed
    1. Dolphin H, Dyer AH, Morrison L, Shenkin SD, Welsh T, Kennelly SP. New horizons in the diagnosis and management of Alzheimer’s disease in older adults. Age Ageing. 2024;53(2):5.10.1093/ageing/afae005 - DOI - PMC - PubMed
    1. Olsson B, Lautner R, Andreasson U, Öhrfelt A, Portelius E, Bjerke M, et al. CSF and blood biomarkers for the diagnosis of Alzheimer’s disease: a systematic review and meta-analysis. Lancet Neurol. 2016;15(7):673–84. 10.1016/S1474-4422(16)00070-3 - DOI - PubMed
    1. Shimohama S, Tezuka T, Takahata K, Bun S, Tabuchi H, Seki M, et al. Impact of Amyloid and Tau PET on changes in diagnosis and patient management. Neurology. 2023;100(3):e264–74. 10.1212/WNL.0000000000201389 - DOI - PubMed
    1. Arslan B, Zetterberg H, Ashton NJ. Blood-based biomarkers in Alzheimer’s disease - moving towards a new era of diagnostics. Clin Chem Lab Med. 2024;62:1063–9. 10.1515/cclm-2023-1434 - DOI - PubMed

LinkOut - more resources