Evidence map›Paper›PMID 37032437›Full record

ArticlemAbs

Determination of ultra-trace metal-protein interactions in co-formulated monoclonal antibody drug product by SEC-ICP-MS.

Laurence Whitty-Léveillé, Zachary L VanAernum, Jorge Alexander Pavon, Christa Murphy, Katie Neal, William Forest, Xinliu Gao, Wendy Zhong, Douglas D Richardson, Hillary A Schuessler

Open access · goldAbstract read
In one paragraph

Article in mAbs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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 1 institution in 1 country.

Laurence Whitty-LéveilléAnalytical Research and Development, Merck & Co, Inc, Rahway, New Jersey.
Zachary L VanAernumAnalytical Research and Development, Merck & Co, Inc, Rahway, New Jersey.
Jorge Alexander PavonAnalytical Research and Development, Merck & Co, Inc, Rahway, New Jersey.
Christa MurphyAnalytical Research and Development, Merck & Co, Inc, Rahway, New Jersey.
Katie NealAnalytical Research and Development, Merck & Co, Inc, Rahway, New Jersey.
William ForestAnalytical Research and Development, Merck & Co, Inc, Rahway, New Jersey.
Xinliu GaoAnalytical Research and Development, Merck & Co, Inc, Rahway, New Jersey.
Wendy ZhongAnalytical Research and Development, Merck & Co, Inc, Rahway, New Jersey.
Douglas D RichardsonAnalytical Research and Development, Merck & Co, Inc, Rahway, New Jersey.
Hillary A SchuesslerAnalytical Research and Development, Merck & Co, Inc, Rahway, New Jersey.
Merck & Co., Inc., Rahway, NJ, USA (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transition metals can be introduced in therapeutic protein drugs at various steps of the manufacturing process (e.g. manufacturing raw materials, formulation, storage), and can cause a variety of modifications on the protein. These modifications can potentially influence the efficacy, safety, and stability of the therapeutic protein, especially if critical quality attributes (CQAs) are affected. Therefore, it is meaningful to understand the interactions between proteins and metals that can occur during the manufacturing process, formulation, and storage of biotherapeutics. Here, we describe a novel strategy to differentiate between ultra-trace levels of transition metals (cobalt, chromium, copper, iron, and nickel) interacting with therapeutic proteins and free metal in solution in the drug formulation using size exclusion chromatography coupled to inductively coupled plasma mass spectrometry (SEC-ICP-MS). Two monoclonal antibodies (mAbs) were coformulated and stored up to nine days in a scaled down model to mimic metal exposure from manufacturing tanks. The samples containing the mAbs were first analyzed by ICP-MS for bulk metal analysis, then studied using SEC-ICP-MS to measure the extent of metal-protein interactions. The SEC separation was used to differentiate metal associated with the mAbs from free metal in solution. Relative quantitation of metal-protein interaction was then calculated using the relative peak areas of protein-associated metal to free metal in solution and weighting it to the total metal concentration in the mixture as measured by bulk metal analysis by ICP-MS. The SEC-ICP-MS method offers an informative means of measuring metal-protein interactions during drug development.

Indexed as

Antibodies, MonoclonalMetalsCopperIronMass SpectrometryAntibodies, MonoclonalCopperIronMetalsCo-formulationdrug formulationmAbsSEC-ICP-MSultra-trace metal analysis

Identifiers

PMID37032437
PMCPMC10085571
OpenAlexW4362736088

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.