Comparing kinetic versus stoichiometric priorities in hybrid models of CHO metabolism.

Pratik Khare, Nelson Ndahiro, Stephanie Klaubert, Edward Ma, Tom S Bertalan, Yannis Kevrekidis, Sarah W Harcum, Michael J Betenbaugh

Abstract readComparative Study

PubMed Full text at PMC Publisher

In one paragraph

Article in NPJ systems biology and applications, 2026. 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

8 authors.

Pratik KhareDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.

Nelson NdahiroDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.

Stephanie KlaubertDepartment of Chemical & Biomolecular Engineering, Clemson University, Clemson, SC, USA.

Edward MaDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.

Tom S BertalanDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.

Yannis KevrekidisDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.

Sarah W HarcumDepartment of Chemical & Biomolecular Engineering, Clemson University, Clemson, SC, USA.

Michael J BetenbaughDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA. beten@jhu.edu.

Funding

Advanced Mammalian Biomanufacturing Innovation Center 1624684 and 2100800Clemson University IIP-162464 and EEC-2100442National Science Foundation OIA-1736123

6 · The paper itself

Abstract

Understanding Chinese hamster ovary (CHO) cell metabolism through mathematical models is essential for optimizing culture media and biomanufacturing processes. Stoichiometric models estimate intracellular fluxes under steady state, while kinetic models capture dynamic behavior but often for a limited number of reactions; dynamic metabolic flux analysis (dMFA) combines both approaches in a hybrid framework, though challenges remain in applying such hybrid frameworks to bioprocesses. Here, we enhanced an existing CHO-metabolism model by incorporating

Indexed as

Models, BiologicalAmino AcidsAmmoniaAnimalsCHO CellsCricetinaeCricetulusCulture MediaKineticsMetabolic Flux AnalysisMetabolic Networks and PathwaysAmino AcidsAmmoniaCulture Media

Identifiers

PMID42215486

DOI10.1038/s41540-026-00703-5

PMCPMC13550590

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.