Evidence map›Paper›PMID 37936013›Full record

ArticlePharmaceutical research2023

LC-MS Approach to Decipher a Light Chain Chromatographic Peak Splitting of a Monoclonal Antibody.

Yanjun Liu, Zac VanAernum, Yue Zhang, Xinliu Gao, Mariana Vlad, Bo Feng, Robert Cross, Bruce Kilgore, Alice Newman, Dongdong Wang and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Pharmaceutical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 4 institutions in 4 countries.

Yanjun LiuProtaGene US, Inc. was Formerly BioAnalytix Inc., 4 Burlington Woods Dr., Burlington, MA, 01803, USA. yanjun.liu@protagene.com.ORCID http://orcid.org/0000-0002-7268-1015
Zac VanAernumAnalytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA. zachary.vanaernum@merck.com.ORCID http://orcid.org/0000-0002-0956-3956
Yue ZhangProtaGene US, Inc. was Formerly BioAnalytix Inc., 4 Burlington Woods Dr., Burlington, MA, 01803, USA.
Xinliu GaoAnalytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA.
Mariana VladAnalytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA.
Bo FengAnalytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA.
Robert CrossAnalytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA.
Bruce KilgoreAnalytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA.
Alice NewmanAnalytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA.
Dongdong WangProtaGene US, Inc. was Formerly BioAnalytix Inc., 4 Burlington Woods Dr., Burlington, MA, 01803, USA.
Hillary A SchuesslerAnalytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA.
Douglas D RichardsonAnalytical Research & Development, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA.
Jennifer S ChadwickProtaGene US, Inc. was Formerly BioAnalytix Inc., 4 Burlington Woods Dr., Burlington, MA, 01803, USA.
Merck & Co., Inc., Rahway, NJ, USA (United States) · USBioanalytica (Switzerland) · CHBiogen (United States) · USProtagen (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMonoclonal antibodies (mAbs), like other protein therapeutics, are prone to various forms of degradation, some of which are difficult to distinguish from the native form yet may alter potency. A generalizable LC-MS approach was developed to enable quantitative analysis of isoAsp. In-depth understanding of product quality attributes (PQAs) enables optimization of the manufacturing process, better formulation selection, and decreases risk associated with product handling in the clinic or during shipment.

methodsReversed-phase chromatographic peak splitting was observed when a mAb was exposed to elevated temperatures. Multiple LC-MS based methods were applied to identify the reason for peak splitting. The approach involved the use of complementary HPLC columns, multiple enzymatic digestions and different MS/MS ion dissociation methods. In addition, mAb potency was measured by enzyme-linked immunosorbent assay (ELISA).

resultsThe split peaks had identical masses, and the root cause of the peak splitting was identified as isomerization of an aspartic acid located in the complementarity-determining region (CDR) of the light chain. And the early eluting and late eluting peaks were collected and performed enzymatic digestion to confirm the isoAsp enrichment in the early eluting peak. In addition, decreased potency was observed in the same heat-stressed sample, and the increased isoAsp levels in the CDR correlate well with a decrease of potency.

conclusionLiquid chromatography-mass spectrometry (LC-MS) has been utilized extensively to assess PQAs of biological therapeutics. In this study, a generalizable LC-MS-based approach was developed to enable identification and quantitation of the isoAsp-containing peptides.

Indexed as

Antibodies, MonoclonalTandem Mass SpectrometryChromatography, High Pressure LiquidChromatography, LiquidComplementarity Determining RegionsLiquid Chromatography-Mass SpectrometryAntibodies, MonoclonalComplementarity Determining Regionscomplementarity determining region (CDR)critical quality attribute (CQA)isomerizationLC–MSmonoclonal antibody (mab)

Identifiers

PMID37936013
OpenAlexW4388448713

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.