Evidence map›Paper›PMID 39850488›Full record

ArticleEngineering in life sciences2025

Integrated SegFlow, µSIA, and UPLC for Online Sialic Acid Quantitation of Glycoproteins Directly from Bioreactors.

Letha Chemmalil, Tanmay Kulkarni, Mathura Raman, Priya Singh, Yueming Qian, Chris Chumsae, Kyle McHugh, Zhuangrong Huang, Eric Hodgman, Michael C Borys and 3 more

Abstract read
In one paragraph

Article in Engineering in life sciences, 2025. 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
–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

1 citing paper in PubMed.

  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

13 authors.

Letha ChemmalilBiological Process Analytical Group Bristol Myers Squibb Devens Massachusetts USA.ORCID https://orcid.org/0000-0002-5656-3465
Tanmay KulkarniBiological Process Analytical Group Bristol Myers Squibb Devens Massachusetts USA.
Mathura RamanBiological Process Analytical Group Bristol Myers Squibb Devens Massachusetts USA.
Priya SinghAnalytical Science & Technology Bristol Myers Squibb Devens Massachusetts USA.
Yueming QianHorizon Therapeutics Bristol Myers Squibb Rockville Maryland USA.
Chris ChumsaeAnalytical Development & Analytical Attribute Science in Biologics Bristol Myers Squibb Devens Massachusetts USA.
Kyle McHughTakeda Pharmaceuticals Former BMS Affiliate Lexington Massachusetts USA.
Zhuangrong HuangProcess Development Group Bristol Myers Squibb Devens Massachusetts USA.ORCID https://orcid.org/0000-0002-9145-5582
Eric HodgmanProcess Development Group Bristol Myers Squibb Devens Massachusetts USA.
Michael C BorysProcess Development Group Bristol Myers Squibb Devens Massachusetts USA.
Julia DingVertex Pharmaceutical Bristol Myers Squibb Boston Massachusetts USA.
Gloria LiBiological Process Analytical Group Bristol Myers Squibb Devens Massachusetts USA.
Anthony LeoneAnalytical Development & Analytical Attribute Science in Biologics Bristol Myers Squibb Devens Massachusetts USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study emphasizes the critical importance of closely monitoring and controlling the sialic acid content in therapeutic glycoproteins, including EPO, interferon-γ, Orencia, Enbrel, and others, as the level of sialylation directly impacts their pharmacokinetics (PK), immunogenicity, potency, and overall clinical performance due to its influence on protein clearance via hepatic asialoglycoprotein receptors (ASGPR). The ASGPR recognizes and binds to glycoproteins exposed to terminal galactose or N-acetylgalactosamine residues, leading to receptor-mediated endocytosis. Recent studies have demonstrated that sialylation of O-linked glycan plays a role in protecting against macrophage galactose lectin (MGL)-mediated clearance. In addition to the impact on serum half-life, sialylation can influence other clinical outcomes, including immunogenicity, potency, and cytotoxicity. Therefore, the level of sialic acid is a critical quality attribute (CQA), and monitoring and regulating sialylation has become a regulatory requirement to ensure desired clinical performance. To achieve consistent levels of sialic acid-to-protein ratio, the time of upstream harvest and conductivity of downstream wash buffers must be tightly regulated based on the sialic acid content. Therefore, the utilization of process analytical technology (PAT) tools for generating real-time or near-real-time sialic acid content is a business-critical requirement. This work demonstrates the utility of an integrated PAT system for near real-time online sialic acid measurements. The system consists of a micro-sequential injection analyzer (µSIA) interfaced with SegFlow and an ultra performance liquid chromatography (UPLC). The fully automated architecture exemplifies the execution of online sampling, automatic sample preparation, and subsequent online UPLC analysis. This carefully orchestrated PAT framework effectively supports the requirements of QbD-driven continuous bioprocessing.

Indexed as

continuous bioprocessingFIA labsmonoclonal antibody (mAb)process analytical technology (PAT)quality by design (QbD)SegFlowµSIA

Identifiers

PMID39850488
PMCPMC11756511

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Registered trials

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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.