Evidence map›Paper›PMID 31254106›Full record

ArticlePharmaceutical research2019

Generation, Characterization, and Quantitative Bioanalysis of Drug/Anti-drug Antibody Immune Complexes to Facilitate Dedicated In Vivo Studies.

Eugenia Hoffmann, Gregor Jordan, Matthias Lauer, Philippe Ringler, Eric A Kusznir, Arne C Rufer, Sylwia Huber, Anton Jochner, Gerhard Winter, Roland F Staack

Open access · hybridAbstract read
In one paragraph

Article in Pharmaceutical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 18 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

10 authors at 4 institutions in 2 countries.

Eugenia HoffmannRoche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Munich, Penzberg, Germany.
Gregor JordanRoche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Munich, Penzberg, Germany.
Matthias LauerRoche Pharma Research and Early Development, Therapeutic Modalities, Roche Innovation Center Basel, Basel, Switzerland.
Philippe RinglerCenter for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum University of Basel, Basel, Switzerland.
Eric A KusznirRoche Pharma Research and Early Development, Therapeutic Modalities, Roche Innovation Center Basel, Basel, Switzerland.
Arne C RuferRoche Pharma Research and Early Development, Therapeutic Modalities, Roche Innovation Center Basel, Basel, Switzerland.
Sylwia HuberRoche Pharma Research and Early Development, Therapeutic Modalities, Roche Innovation Center Basel, Basel, Switzerland.
Anton JochnerRoche Pharma Research and Early Development, Therapeutic Modalities, Roche Innovation Center Munich, Penzberg, Germany.
Gerhard WinterDepartment of Pharmacy, Pharmaceutical Technology & Biopharmaceutics, Ludwig-Maximilians-University, Munich, Germany.
Roland F StaackRoche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Munich, Penzberg, Germany. roland.staack@roche.com.ORCID http://orcid.org/0000-0003-0372-8163
Roche (Switzerland) · CHRoche Pharma AG (Germany) · DELudwig-Maximilians-Universität München · DEUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeImmunogenicity against biotherapeutics can lead to the formation of drug/anti-drug-antibody (ADA) immune complexes (ICs) with potential impact on safety and drug pharmacokinetics (PK). This work aimed to generate defined drug/ADA ICs, characterized by quantitative (bio) analytical methods for dedicated determination of IC sizes and IC profile changes in serum to facilitate future in vivo studies.

methodsDefined ICs were generated and extensively characterized with chromatographic, biophysical and imaging methods. Quantification of drug fully complexed with ADAs (drug in ICs) was performed with an acid dissociation ELISA. Sequential coupling of SEC and ELISA enabled the reconstruction of IC patterns and thus analysis of IC species in serum.

resultsCharacterization of generated ICs identified cyclic dimers, tetramers, hexamers, and larger ICs of drug and ADA as main IC species. The developed acid dissociation ELISA enabled a total quantification of drug fully complexed with ADAs. Multiplexing of SEC and ELISA allowed unbiased reconstruction of IC oligomeric states in serum.

conclusionsThe developed in vitro IC model system has been properly characterized by biophysical and bioanalytical methods. The specificity of the developed methods enable discrimination between different oligomeric states of ICs and can be bench marking for future in vivo studies with ICs.

Indexed as

AnimalsAntibodies, MonoclonalAntigen-Antibody ComplexChromatography, LiquidDimerizationEnzyme-Linked Immunosorbent AssayFemaleHumansImmunoglobulin GProtein ConformationRats, WistarSerum Albumin, BovineAntibodies, MonoclonalAntigen-Antibody ComplexImmunoglobulin GSerum Albumin, BovineAnti-drug antibodiesbioanalysisELISAimmune compleximmunogenicitytherapeutic proteins

Identifiers

PMID31254106
PMCPMC6598957
OpenAlexW2954891481

What OpenQuestion holds

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LicenceCC BY
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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.