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Record W4388014241 · doi:10.1001/jamaneurol.2023.3861

Exploratory Tau Biomarker Results From a Multiple Ascending-Dose Study of BIIB080 in Alzheimer Disease

2023· article· en· W4388014241 on OpenAlexaboutno aff
Amanda Edwards, Jessica Collins, Candice Junge, Holly Kordasiewicz, Laurence Mignon, Shuang Wu, Yumeng Li, Lin Lin, Jonathan M. DuBois, R. Matthew Hutchison, Nick Ziogas, Melanie Shulman, Laurent Martarello, Danielle Graham, Roger Lane, Samantha Budd Haeberlein, John D. Beaver

Bibliographic record

VenueJAMA Neurology · 2023
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPlaceboMedicineClinical endpointCerebrospinal fluidTau proteinRandomized controlled trialInternal medicineBiomarkerAlzheimer's diseaseCognitive declineOncologyDiseaseGastroenterologyPathologyDementiaChemistry

Abstract

fetched live from OpenAlex

Importance: Accumulation of hyperphosphorylated, tangled microtubule-associated protein tau (MAPT) is a pathological hallmark of Alzheimer disease (AD) associated with disease progression and cognitive decline. Objective: To evaluate the effect of tau synthesis reduction on tau biomarkers in patients with mild AD. Design, Setting, and Participants: This randomized clinical trial was a double-blind, placebo-controlled 36-week multiple-ascending dose (MAD) phase 1b trial (October 2017 to September 2020), followed by a 64- or 71-week open-label long-term extension (LTE) (October 2019 to May 2022). After being assessed for eligibility at 12 sites in Canada and Europe, participants with mild AD and confirmed amyloid pathology were randomized 3:1 (BIIB080:placebo) in 4 dose cohorts. Intervention: Intrathecal administration of BIIB080, a MAPT-targeting antisense oligonucleotide, or placebo. Active dose arms included 10 mg every 4 weeks, 30 mg every 4 weeks, 60 mg every 4 weeks, and 115 mg every 12 weeks during the MAD period and 60 mg every 12 weeks or 115 mg every 12 weeks during the LTE. Main Outcome and Measures: The original primary end point was safety. Additionally, BIIB080, total tau (t-tau), and phosphorylated tau 181 (p-tau181) cerebrospinal fluid (CSF) concentrations were evaluated. Tau positron emission tomography (PET) was collected in a substudy, and standard uptake value ratios (SUVRs) were calculated in a priori-defined composite regions of interest. Results: Of 102 participants assessed for eligibility, 46 participants with mild AD were enrolled; 23 (50%) were female, and mean (SD) age was 65.8 (5.70) years. BIIB080 was generally well tolerated and was associated with a dose-dependent reduction in CSF t-tau and p-tau181 in the MAD period (56% reduction; 95% CI, 50% to 62%; and 51% reduction; 95% CI, 38% to 63%, of CSF t-tau in the 2 higher-dose cohorts) that continued and/or was maintained through quarterly dosing in the LTE. Tau PET demonstrated reduced accumulation vs placebo at week 25 (n = 13). At week 100, tau PET showed a reduction from baseline across all regions assessed (n = 12), with the largest reductions from baseline observed in the temporal composite (-0.71 SUVR; 95% CI, -1.40 to -0.02). A moderate correlation was observed between model-predicted cumulative CSF drug exposure and tau PET change. Conclusions and Relevance: In this randomized clinical trial, BIIB080 reduced tau biomarkers, including CSF t-tau, CSF p-tau181, and tau PET, which is associated with cognitive decline, in participants with mild AD. Effects of BIIB080 on biomarkers and clinical outcomes are being further evaluated in a phase 2 trial. Trial Registration: ClinicalTrials.gov Identifier: NCT03186989.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.086
GPT teacher head0.346
Teacher spread0.260 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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

Citations92
Published2023
Admission routes1
Has abstractyes

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