Evidence map›Paper›PMID 37744241›Full record

ArticlePeerJ2023

Metabolomics profiling reveals differences in proliferation between tumorigenic and non-tumorigenic Madin-Darby canine kidney (MDCK) cells.

Na Sun, Yuchuan Zhang, Jian Dong, Geng Liu, Zhenbin Liu, Jiamin Wang, Zilin Qiao, Jiayou Zhang, Kai Duan, Xuanxuan Nian and 2 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2023. 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
0.5field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 3 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

12 authors at 3 institutions in 1 country.

Na Sun *Gansu Technology Innovation Center of Animal Cell, Biomedical Research Center, Northwest Minzu University, Lanzhou, China.
Yuchuan Zhang *Gansu Technology Innovation Center of Animal Cell, Biomedical Research Center, Northwest Minzu University, Lanzhou, China.
Jian DongGansu Technology Innovation Center of Animal Cell, Biomedical Research Center, Northwest Minzu University, Lanzhou, China.
Geng LiuGansu Technology Innovation Center of Animal Cell, Biomedical Research Center, Northwest Minzu University, Lanzhou, China.
Zhenbin LiuGansu Technology Innovation Center of Animal Cell, Biomedical Research Center, Northwest Minzu University, Lanzhou, China.
Jiamin WangGansu Technology Innovation Center of Animal Cell, Biomedical Research Center, Northwest Minzu University, Lanzhou, China.
Zilin QiaoGansu Technology Innovation Center of Animal Cell, Biomedical Research Center, Northwest Minzu University, Lanzhou, China.
Jiayou ZhangWuhan Institute of Biological Products Co., Ltd., Wuhan, China.
Kai DuanWuhan Institute of Biological Products Co., Ltd., Wuhan, China.
Xuanxuan NianWuhan Institute of Biological Products Co., Ltd., Wuhan, China.
Zhongren MaGansu Technology Innovation Center of Animal Cell, Biomedical Research Center, Northwest Minzu University, Lanzhou, China.
Xiaoming YangNational Engineering Technology Research Center for Combined Vaccines, Wuhan, China.
Minzu University of China · CNWuhan Institute of Bioengineering · CNChina National Biotechnology (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Madin-Darby canine kidney (MDCK) cells are a cellular matrix in the production of influenza vaccines. The proliferation rate of MDCK cells is one of the critical factors that determine the vaccine production cycle. It is yet to be determined if there is a correlation between cell proliferation and alterations in metabolic levels. This study aimed to explore the metabolic differences between MDCK cells with varying proliferative capabilities through the use of both untargeted and targeted metabolomics. Methods: To investigate the metabolic discrepancies between adherent cell groups (MDCK-M60 and MDCK-CL23) and suspension cell groups (MDCK-XF04 and MDCK-XF06), untargeted and targeted metabolomics were used. Utilizing RT-qPCR analysis, the mRNA expressions of key metabolites enzymes were identified. Results: An untargeted metabolomics study demonstrated the presence of 81 metabolites between MDCK-M60 and MDCK-CL23 cells, which were mainly affected by six pathways. An analysis of MDCK-XF04 and MDCK-XF06 cells revealed a total of 113 potential metabolites, the majority of which were impacted by ten pathways. Targeted metabolomics revealed a decrease in the levels of choline, tryptophan, and tyrosine in MDCK-CL23 cells, which was in accordance with the results of untargeted metabolomics. Additionally, MDCK-XF06 cells experienced a decrease in 5'-methylthioadenosine and tryptophan, while S-adenosylhomocysteine, kynurenine, 11Z-eicosenoic acid, 3-phosphoglycerate, glucose 6-phosphate, and phosphoenolpyruvic acid concentrations were increased. The mRNA levels of MAT1A, MAT2B, IDO1, and IDO2 in the two cell groups were all increased, suggesting that S-adenosylmethionine and tryptophan may have a significant role in cell metabolism. Conclusions: This research examines the effect of metabolite fluctuations on cell proliferation, thus offering a potential way to improve the rate of MDCK cell growth.

Indexed as

MetabolomicsTryptophanAnimalsCarcinogenesisCell ProliferationDeoxyadenosinesDogsKidneyMadin Darby Canine Kidney CellsThionucleosides5'-methylthioadenosineDeoxyadenosinesThionucleosidesTryptophanCell proliferationCholine metabolismIDOMATMDCK cellsS-adenosylmethionineTargeted metabolomicsTryptophan metabolismUntargeted metabolomics

Identifiers

PMID37744241
PMCPMC10517658
OpenAlexW4386895580

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.