Evidence map›Paper›PMID 40251805›Full record

ArticleBiotechnology and bioengineering2025

Temporal Galactose-Manganese Feeding in Fed-Batch and Perfusion Bioreactors Modulates UDP-Galactose Pools for Enhanced mAb Glycosylation Homogeneity.

Aron Gyorgypal, Erica Fratz-Berilla, Casey Kohnhorst, David N Powers, Shishir P S Chundawat

Abstract read
In one paragraph

Article in Biotechnology and bioengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

5 authors.

Aron GyorgypalDepartment of Chemical and Biochemical Engineering, Rutgers The State University of New Jersey, Piscataway, New Jersey, USA.ORCID 0000-0001-6531-5028
Erica Fratz-BerillaOffice of Pharmaceutical Quality Research, CDER, U.S. FDA, Silver Spring, Maryland, USA.ORCID 0000-0002-9259-0540
Casey KohnhorstOffice of Pharmaceutical Quality Research, CDER, U.S. FDA, Silver Spring, Maryland, USA.
David N PowersOffice of Pharmaceutical Quality Research, CDER, U.S. FDA, Silver Spring, Maryland, USA.
Shishir P S ChundawatDepartment of Chemical and Biochemical Engineering, Rutgers The State University of New Jersey, Piscataway, New Jersey, USA.ORCID 0000-0003-3677-6735

Funding

This study was supported in part by award #PC5.2-112 granted to Rutgers University under a Project Award Agreement from the National Institute for Innovation in Manufacturing Biopharmaceuticals (NIIMBL) and financial assistance award 70NANB21H086 from the US Department of Commerce, National Institute of Standards and Technology. In addition, this study was supported by the appointment of Aron Gyorgypal to the Research Participation Program at FDA, administered by ORAU through the US Department of Energy Oak Ridge Institute for Science and Education (ORISE).
6 · The paper itself

Abstract

Monoclonal antibodies (mAbs) represent a majority of biotherapeutics in the market today. These glycoproteins undergo posttranslational modifications, such as N-linked glycosylation, that influence the structural & functional characteristics of the antibody. Glycosylation is a heterogenous posttranslational modification that may influence therapeutic glycoprotein stability and clinical efficacy, which is why it is often considered a critical quality attribute (CQA) of the mAb product. While much is known about the glycosylation pathways of Chinese Hamster Ovary (CHO) cells and how cell culture chemical modifiers may influence the N-glycosylation profile of the final product, this knowledge is often based on the final cumulative glycan profile at the end of the batch process. Building a temporal understanding of N-glycosylation and how mAb glycoform composition responds to real-time changes in the biomanufacturing process will help build integrated process models that may allow for glycosylation control to produce a more homogenous product. Here, we look at the effect of specific nutrient feed media additives (e.g., galactose, manganese) and feeding times on the N-glycosylation pathway to modulate N-glycosylation of a Herceptin biosimilar mAb (i.e., Trastuzumab). We deploy the N-GLYcanyzer process analytical technology (PAT) to monitor glycoforms in near real-time for bench-scale bioprocesses operated in both fed-batch and perfusion modes to build an understanding of how temporal changes in mAb N-glycosylation are dependent on specific media additives. We find that Trastuzumab terminal galactosylation is sensitive to media feeding times and intracellular nucleotide sugar pools. Temporal analysis reveals an increased desirable production of single and double galactose-occupied glycoforms over time under glucose-starved fed-batch cultures. Comparable galactosylation profiles were also observed between fed-batch (nutrient-limited) and perfusion (non-nutrient-limited) bioprocess conditions. In summary, our results demonstrate the utility of real-time monitoring of mAb glycoforms and feeding critical cell culture nutrients under fed-batch and perfusion bioprocessing conditions to produce higher-quality biologics.

Indexed as

Antibodies, MonoclonalBatch Cell Culture TechniquesBioreactorsGalactoseAnimalsCHO CellsCricetinaeCricetulusCulture MediaGlycosylationAntibodies, MonoclonalCulture MediaGalactosebioprocessingmonoclonal antibodyN‐linked glycosylationperfusion

Identifiers

PMID40251805
PMCPMC12152465

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.