Evidence map›Paper›PMID 32808205›Full record

ArticleThe AAPS journal2020

Drug Removal Strategies in Competitive Ligand Binding Neutralizing Antibody (NAb) Assays: Highly Drug-Tolerant Methods and Interpreting Immunogenicity Data.

Michael A Partridge, Elif Kabuloglu Karayusuf, Gary Shyu, Camille Georgaros, Albert Torri, Giane Sumner

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in The AAPS journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
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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 1 institution in 1 country.

Michael A PartridgeRegeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Road, Tarrytown, New York, 10591, USA. Michael.partridge@regeneron.com.
Elif Kabuloglu KarayusufRegeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Road, Tarrytown, New York, 10591, USA.
Gary ShyuRegeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Road, Tarrytown, New York, 10591, USA.
Camille GeorgarosRegeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Road, Tarrytown, New York, 10591, USA.
Albert TorriRegeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Road, Tarrytown, New York, 10591, USA.
Giane SumnerRegeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Road, Tarrytown, New York, 10591, USA.
Regeneron (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neutralizing anti-drug antibody (NAb) assays often have lower drug tolerance (DT) than trough drug concentrations, potentially under-estimating NAb incidence. To improve DT, drug-specific proteins were coupled to magnetic beads to deplete drug in the sample. To avoid interference from carryover, drug-specific proteins that did not interfere in the NAb assay, such as target or non-blocking anti-drug antibodies, were selected. With the drug depletion step, DT improved by > 10-fold in two competitive ligand binding NAb assays. Analysis of anti-drug antibody positive clinical samples with elevated drug levels demonstrated that NAb incidence was under-estimated without the drug depletion step. However, these NAb-positive samples had low titer and no impact on drug concentrations.

Indexed as

Antibodies, MonoclonalAntibodies, NeutralizingHumansImmunogeneticsPharmaceutical PreparationsAntibodies, MonoclonalAntibodies, NeutralizingPharmaceutical Preparationscompetitive ligand binding assaysdrug depletiondrug toleranceimmunogenicityneutralizing antibody

Identifiers

PMID32808205
OpenAlexW3051888563

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.