Clinical validation of Lumipulse G1200 automated immunoassays for Alzheimer's disease biomarkers in a Quebec cohort
Bibliographic record
Abstract
BACKGROUND: With the anticipated arrival of disease-modifying treatments for Alzheimer's disease (AD) in Canada, integrating biomarkers into clinical practice is crucial to enhancing diagnostic accuracy and optimizing referrals for treatment. Lumipulse G1200 (Fujirebio) is a fully automated immunoassay instrument that streamlines the analysis of these biomarkers. In this study, we evaluated the diagnostic performance of Lumipulse G1200 plasma and CSF immunoassays in detecting AD pathology within a Quebec population cohort. METHOD: F-MK6240) PET status was assessed using the area under the curve (AUC) of receiver operating characteristic (ROC). Amyloid PET global SUVR > 1.55 and tau PET metaROI SUVR>2.5STD of the young controls determined Aβ and Tau PET positivity, respectively. Spearman's correlation examined the association between plasma p-tau217 and p-tau181 with amyloid and tau PET SUVR. RESULT: Plasma p-tau181 and p-tau217 were higher in individuals with clinical diagnosis of AD compared to the cognitively unimpaired (CU) or MCI not due to AD (MCI-). Plasma p-tau217 very strongly correlated with both Aβ and tau PET SUVR (ρ=0.805 and 0.797 respectively, p-value<2.2e-16), as compared to plasma p-tau181 (ρ=0.629 and 0.644 respectively, p < 4.097e-10). Both assays identified with comparable high accuracy elevated Aβ pathology (plasma p-tau217, AUC, 0.96, 95% CI: 0.92-1.00; p-tau181, AUC 0.88, CI 0.81- 0.96). However, plasma p-tau217 had higher discriminative performance than p-tau181 for tau PET (p-tau217, AUC 0.99, CI: 0.98-1.00; p-tau181, AUC 0.94, CI 0.89-0.98, DeLong's test p-value<0.01). CSF p-tau181, p-tau181/Aβ42 and Aβ42/40 had excellent discriminative performance for Aβ and tau PET positivity. Moreover, plasma p-tau217 had similar performance as CSF p-tau181 for predicting Aβ and tau PET positivity. CONCLUSION: Lumipulse G1200 immunoassays showed excellent agreement with amyloid and tau PET. Their ease of use and high diagnostic accuracy make them strong candidates for clinical implementation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".