Evidence map›Paper›PMID 38924316›Full record

ArticleBiotechnology progress

Modeling of cell cultivation for monoclonal antibody production processes considering lactate metabolic shifts.

Kozue Okamura, Sara Badr, Yusuke Ichida, Akira Yamada, Hirokazu Sugiyama

Abstract read
In one paragraph

Article in Biotechnology progress. 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
–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

2 citing papers in PubMed.

  1. Review
  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

5 authors.

Kozue OkamuraDepartment of Chemical System Engineering, The University of Tokyo, Tokyo, Japan.
Sara BadrDepartment of Chemical System Engineering, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-4233-1353
Yusuke IchidaDepartment of Chemical System Engineering, The University of Tokyo, Tokyo, Japan.
Akira YamadaDepartment of Chemical System Engineering, The University of Tokyo, Tokyo, Japan.
Hirokazu SugiyamaDepartment of Chemical System Engineering, The University of Tokyo, Tokyo, Japan.

Funding

Japan Agency for Medical Research and Development (AMED) JP21ae0121015Japan Agency for Medical Research and Development (AMED) JP21ae0121016
6 · The paper itself

Abstract

Demand for monoclonal antibodies (mAbs) is rapidly increasing. To achieve higher productivity, there have been improvements to cell lines, operating modes, media, and cultivation conditions. Representative mathematical models are needed to narrow down the growing number of process alternatives. Previous studies have proposed mechanistic models to depict cell metabolic shifts (e.g., lactate production to consumption). However, the impacts of variations of some operating conditions have not yet been fully incorporated in such models. This paper offers a new mechanistic model considering variations in dissolved oxygen and glutamine depletion on cell metabolism applied to a novel Chinese hamster ovary (CHO) cell line. Expressions for the specific rates of lactate production, glutamine consumption, and mAb production were formulated for stirred and shaken-tank reactors. A deeper understanding of lactate metabolic shifts was obtained under different combinations of experimental conditions. Lactate consumption was more pronounced in conditions with higher DO and low glutamine concentrations. The model offers mechanistic insights that are useful for designing advanced operation strategies. It can be used in design space generation and process optimization for better productivity and product quality.

Indexed as

Antibodies, MonoclonalCricetulusGlutamineLactic AcidAnimalsBioreactorsCell Culture TechniquesCHO CellsCricetinaeModels, BiologicalModels, TheoreticalOxygenAntibodies, MonoclonalGlutamineLactic AcidOxygenChinese hamster ovary cellsdissolved oxygenglutaminelactate metabolic shiftsmechanistic modelorbitally‐shaken tanksprocess design

Identifiers

PMID38924316
PMCPMC11659809

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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.