MétaCan
Menu
← Back to cohort
Record W4293828049 · doi:10.1101/2022.08.17.22278853

Potential utility of plasma p-tau and NfL as surrogate biomarkers for preventive clinical trials

2022· preprint· en· W4293828049 on OpenAlexafffund
Pâmela C.L. Ferreira, João Pedro Ferrari‐Souza, Cécile Tissot, Bruna Bellaver, Douglas Teixeira Leffa, Firoza Z Lussier, Guilherme Povala, Joseph Therriault, Andréa Lessa Benedet, Nicholas J. Ashton, Ann D. Cohen, Oscar L. López, Dana Tudorascu, William E. Klunk, Jean‐Paul Soucy, Serge Gauthier, Victor L. Villemagne, Henrik Zetterberg, Kaj Blennow, Pedro Rosa‐Neto, Eduardo R. Zimmer, Thomas K. Karikari, Tharick A. Pascoal

Bibliographic record

VenuemedRxiv · 2022
Typepreprint
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-JeanMcGill UniversityDouglas Mental Health University Institute
FundersNational Institute on AgingNational Institute of Biomedical Imaging and BioengineeringCanadian Institutes of Health ResearchUniversity of California, San DiegoGenentechNational Institutes of HealthOlav Thon StiftelsenUK Dementia Research InstituteIXICOH. Lundbeck A/SVetenskapsrådetEisaiServierEU Joint Programme – Neurodegenerative Disease ResearchNorthern California Institute for Research and EducationPfizerBiogenBioClinicaAlzheimer's AssociationStiftelsen för Gamla TjänarinnorEuropean CommissionHjärnfondenFamiljen Erling-Perssons StiftelseUniversity of Southern CaliforniaNovartis Pharmaceuticals CorporationU.S. Department of DefenseEli Lilly and CompanyBristol-Myers SquibbF. Hoffmann-La RocheAlzheimer's Drug Discovery FoundationAlzheimer's Disease Neuroimaging InitiativeMeso Scale DiagnosticsFoundation for the National Institutes of Health
KeywordsSurrogate endpointMedicineClinical trialInternal medicineSample size determinationOncology

Abstract

fetched live from OpenAlex

Abstract Background Although longitudinal changes in plasma phosphorylated tau 181 (p-tau181) and neurofilament light (NfL) correlate with Alzheimer’s disease (AD) progression, it is unknown whether these changes can be used to monitor drug effects in preventive clinical trials. Here, we tested the utility of changes in plasma p-tau181 and NfL as surrogate biomarkers for clinical trials focusing on cognitively unimpaired (CU) individuals. Methods We evaluated 257 CU older individuals with amyloid-beta (Aβ) positron emission tomography (PET) at baseline, as well as the baseline, up to 24-month plasma p-tau181 and NfL measures. Linear regressions and Cox-proportional hazards tested the associations of change in markers with age and clinical progression, respectively. We estimated the sample size needed to test a 25% drug effect with 80% of power at a 0.05 level on reducing changes in plasma markers. Results Longitudinal changes in plasma NfL were associated with age, while changes in plasma p-tau181 with progression to amnestic MCI. Clinical trial using p-tau181 and NfL would require 78% and 63% smaller sample sizes, respectively, for a 24-month than a 12-month follow-up. The use of Aβ positivity for enrichment had a larger impact on reducing the sample size required for trials using p-tau181 (43% reduction) than NfL (17%) as surrogate. Notably, population enrichment with intermediate levels of Aβ, rather than merely Aβ positivity, reduced the sample size by 88% for p-tau181 and 64% for NfL over 12 months, and by 73% for p-tau181 and 59% for NfL over 24 months. Conclusion Our results highlighted that changes in plasma NfL could be used as a surrogate for age-related degeneration, while longitudinal changes in plasma p-tau181 were associated with parallel clinical progression. A follow-up duration of 24 months was associated with more stable changes in plasma measures and, consequently, a greater effect size than a follow-up period of 12 months. The enrollment of CU subjects with intermediate levels of Aβ constitutes the alternative with the largest effect size for clinical trials quantifying plasma p-tau181 and NfL over 12 and 24 months.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.230
metaresearch head score (Gemma)0.251
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.230
Threshold uncertainty score0.950

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2300.251
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.127
GPT teacher head0.470
Teacher spread0.343 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designSimulation or modeling
Domainnot available
GenreMethods

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".

Quick stats

Citations1
Published2022
Admission routes2
Has abstractyes

Explore more

Same venuemedRxiv→Same topicDementia and Cognitive Impairment Research→French-language works237,207→