Evidence map›Paper›PMID 39974635›Full record

ArticleACS pharmacology & translational science2025

Enzymatic Desialylation Enables Reliable Charge Variant Characterization of Highly Glycosylated and Sialylated Fc Fusion Proteins.

Xiaona Wen, Anita P Liu, Jing Song, Chuan Leng, Jingzhou Wang, Briana Russo, Geetha Thiagarajan, Hongxia Wang, Ximeng Y Dow, Xiaoqing Hua and 4 more

Abstract read
In one paragraph

Article in ACS pharmacology & translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Xiaona WenAnalytical Research and Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States.ORCID https://orcid.org/0000-0003-0441-4393
Anita P LiuAnalytical Research and Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States.
Jing SongAnalytical Research and Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States.
Chuan LengAnalytical Research and Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States.ORCID https://orcid.org/0000-0001-6637-621X
Jingzhou WangModeling and Informatics, Merck & Co., Inc., San Francisco, California 94080, United States.
Briana RussoCenter of Mathematics Sciences, Merck & Co., Inc., West Point, Pennsylvania 19486, United States.
Geetha ThiagarajanAnalytical Research and Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States.
Hongxia WangAnalytical Research and Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States.
Ximeng Y DowAnalytical Research and Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States.ORCID https://orcid.org/0009-0007-4308-0038
Xiaoqing HuaAnalytical Research and Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States.
Xiaoping AoAnalytical Research and Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States.
Sarita MittalAnalytical Research and Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States.
Lynn GennaroAnalytical Research and Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States.
Rico GunawanAnalytical Research and Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fusion proteins constitute a class of engineered therapeutics and have emerged as promising candidates for disease treatment. However, the structural complexity and heterogeneity of fusion proteins make their characterization extremely challenging, and thus, an innovative and comprehensive analytical toolbox is needed. Here, for the first time, we demonstrate a novel and robust workflow to evaluate charge variants for a highly glycosylated fusion protein with heavy sialylation using imaged capillary isoelectric focusing (icIEF). In the development of the icIEF method, key factors that were systematically investigated include the desialylation level, the stability of the desialylated molecule, incubation time and temperature of desialylation, protein concentrations, urea and l-arginine effects on the tertiary structure, and instrumental comparability. Multivariate and correlation analyses were subsequently applied to confirm the impacts of the parameters evaluated. Furthermore, a microfluidic chip-based icIEF system coupled with ultraviolet detection and mass spectrometry (icIEF-UV/MS) was utilized to identify critical post-translational modifications and ameliorate the understanding of charge variants. Our study demonstrates that this workflow enables a mechanistic understanding of charge variants for heavily sialylated therapeutics.

Identifiers

PMID39974635
PMCPMC11833721

What Socratic 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 Socratic graph.