Evidence map›Paper›PMID 34522610›Full record

ArticleMetabolic engineering communications2021

Identification of novel inhibitory metabolites and impact verification on growth and protein synthesis in mammalian cells.

Bingyu Kuang, Venkata Gayatri Dhara, Duc Hoang, Jack Jenkins, Pranay Ladiwala, Yanglan Tan, Scott A Shaffer, Shaun C Galbraith, Michael J Betenbaugh, Seongkyu Yoon

Open access · goldAbstract read
In one paragraph

Article in Metabolic engineering communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

10 citing papers in PubMed, 24 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Bingyu KuangDepartment of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Venkata Gayatri DharaDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Duc HoangDepartment of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Jack JenkinsDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Pranay LadiwalaDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Yanglan TanDepartment of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Shrewsbury, MA, 01545, USA.
Scott A ShafferDepartment of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Shrewsbury, MA, 01545, USA.
Shaun C GalbraithDepartment of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Michael J BetenbaughDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Seongkyu YoonDepartment of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Johns Hopkins University · USUniversity of Massachusetts Lowell · USUniversity of Massachusetts Chan Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mammalian cells consume large amount of nutrients during growth and production. However, endogenous metabolic inefficiencies often prevent cells to fully utilize nutrients to support growth and protein production. Instead, significant fraction of fed nutrients is diverted into extracellular accumulation of waste by-products and metabolites, further inhibiting proliferation and protein synthesis. In this study, an LC-MS/MS based metabolomics pipeline was used to screen Chinese hamster ovary (CHO) extracellular metabolites. Six out of eight identified inhibitory metabolites, caused by the inefficient cell metabolism, were not previously studied in CHO cells: aconitic acid, 2-hydroxyisocaproic acid, methylsuccinic acid, cytidine monophosphate, trigonelline, and n-acetyl putrescine. When supplemented back into a fed-batch culture, significant reduction in cellular growth was observed in the presence of each metabolite and all the identified metabolites were shown to impact the glycosylation of a model secreted antibody, with seven of these also reducing CHO cellular productivity (titer) and all eight inhibiting the formation of mono-galactosylated biantennary (G1F) and biantennary galactosylated (G2F) N-glycans. These inhibitory metabolites further impact the metabolism of cells, leading to a significant reduction in CHO cellular growth and specific productivity in fed-batch culture (maximum reductions of 27.2% and 40.6% respectively). In-depth pathway analysis revealed that these metabolites are produced when cells utilize major energy sources such as glucose and select amino acids (tryptophan, arginine, isoleucine, and leucine) for growth, maintenance, and protein production. Furthermore, these novel inhibitory metabolites were observed to accumulate in multiple CHO cell lines (CHO-K1 and CHO-GS) as well as HEK293 cell line. This study provides a robust and holistic methodology to incorporate global metabolomic analysis into cell culture studies for elucidation and structural verification of novel metabolites that participate in key metabolic pathways to growth, production, and post-translational modification in biopharmaceutical production.

Indexed as

Amino acid metabolismGlycolysisInhibitory metabolitesMammalian cell cultureMetabolomicsProcess development

Identifiers

PMID34522610
PMCPMC8427323
OpenAlexW3198467919

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.