Evidence map›Paper›PMID 26402635›Full record

ArticleJournal of Alzheimer's disease : JAD2015

Development of Immunoassays for the Quantitative Assessment of Amyloid-β in the Presence of Therapeutic Antibody: Application to Pre-Clinical Studies.

Anna Bogstedt, Maria Groves, Keith Tan, Rajesh Narwal, Mary McFarlane, Kina Höglund

Open access · bronzeAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 3 countries.

Anna BogstedtAstraZeneca Translational Science Center, Personalized Healthcare & Biomarkers AstraZeneca R&D Innovative Medicines and Department of Clinical Neuroscience, Solna, Sweden; Science for Life Laboratory, Karolinska Institutet, Sweden.
Maria GrovesAntibody Discovery and Protein Engineering, MedImmune Limited, Granta Park, Cambridge, UK.
Keith TanTranslational Science, MedImmune Limited, Granta Park Cambridge, UK.
Rajesh NarwalClinical Pharmacology & DMPK, MedImmune Limited, Gaithersburg, MD, USA.
Mary McFarlaneBiologics Safety Assessment, Translational Science, MedImmune Limited, Cambridge, UK.
Kina HöglundAstraZeneca Translational Science Center, Personalized Healthcare & Biomarkers AstraZeneca R&D Innovative Medicines and Department of Clinical Neuroscience, Solna, Sweden; Science for Life Laboratory, Karolinska Institutet, Sweden.
Science for Life Laboratory · SEAmplimmune (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Utilizing decision making biomarkers in drug development requires thorough assay validation. Special considerations need to be taken into account when monitoring biomarkers using immunoassays in the presence of therapeutic antibodies. We have developed robust and sensitive assays to assess target engagement and proof of mechanism to support the clinical progression of a human monoclonal antibody against the neurotoxic amyloid-β (Aβ)42 peptide. Here we present the introduction of novel pre-treatment steps to ensure drug-tolerant immunoassays and describe the validation of the complete experimental procedures to measure total Aβ42 concentration (bound and unbound) in cerebrospinal fluid (CSF) and plasma, free Aβ42 concentration (unbound) in CSF, and Aβ40 concentration in CSF. The difference in composition of the matrices (CSF and plasma) and antigen levels therein, in combination with the hydrophobic properties of Aβ protein, adds to the complexity of validation. Monitoring pharmacodynamics of an Aβ42 specific monoclonal antibody in a non-human primate toxicology study using these assays, we demonstrated a 1500-fold and a 3000-fold increase in total Aβ42 in plasma, a 4-fold and 8-fold increase in total Aβ42 in CSF together with a 95% and 96% reduction of free Aβ42 in CSF following weekly intravenous injections of 10 mg/kg and 100 mg/kg, respectively. Levels of Aβ40 were unchanged. The accuracy of these data is supported by previous pre-clinical studies as well as predictive pharmacokinetic/pharmacodynamics modeling. In contrast, when analyzing the same non-human primate samples excluding the pre-treatment steps, we were not able to distinguish between free and total Aβ42. Our data clearly demonstrate the importance of thorough evaluation of antibody interference and appropriate validation to monitor different types of biomarkers in the presence of a therapeutic antibody.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAnimalsAntibodies, MonoclonalDisease Models, AnimalDisease ProgressionDrug Evaluation, PreclinicalFemaleHumansImmunoassayMacaca fascicularisMalePeptide FragmentsReproducibility of ResultsTime FactorsAmyloid beta-Peptidesamyloid beta-protein (1-40)amyloid beta-protein (1-42)Antibodies, MonoclonalPeptide FragmentsAlzheimer’s diseaseamyloid-βbiomarkerscerebrospinal fluidimmunotherapyplasmapre-clinical

Identifiers

PMID26402635
PMCPMC4878309
OpenAlexW2331350311

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.