Effect of cold atmospheric plasma treatment on the metabolites of human leukemia cells.

Acute myeloid leukemia Alanine, aspartate and glutamate metabolism Cold atmospheric plasma Metabolite profiling d-Glutamine and d-glutamate metabolism

Journal

Cancer cell international
ISSN: 1475-2867
Titre abrégé: Cancer Cell Int
Pays: England
ID NLM: 101139795

Informations de publication

Date de publication:
2019
Historique:
received: 17 07 2018
accepted: 13 05 2019
entrez: 28 5 2019
pubmed: 28 5 2019
medline: 28 5 2019
Statut: epublish

Résumé

Acute myeloid leukemia (AML) is a typically fatal malignancy and new drug and treatment need to be developed for a better survival outcome. Cold atmospheric plasma (CAP) is a novel technology, which has been widely applied in biomedicine, especially in various of cancer treatment. However, the changes in cell metabolism after CAP treatment of leukemia cells have been rarely studied. In this study, we investigated the metabolite profiling of plasma treatment on leukemia cells based on Gas Chromatography Tandem Time-of-Flight Mass Spectrometry (GC-TOFMS). Simultaneously, we conducted a series of bioinformatics analysis of metabolites and metabolic pathways with significant differences after basic data analysis. 800 signals were detected by GC-TOF mass-spectrometry and then evaluated using PCA and OPLS-DA. All the differential metabolites were listed and the related metabolic pathways were analyzed by KEGG pathway. The results showed that alanine, aspartate and glutamate metabolism had a significant change after plasma treatment. Meanwhile, d-glutamine and d-glutamate metabolism were significantly changed by CAP. Glutaminase activity was decreased after plasma treatment, which might lead to glutamine accumulation and leukemia cells death. We found the above two metabolic pathways vulnerable to plasma treatment, which might result in leukemia cells death and might be the cornerstone of further exploration of plasma treatment targets.

Sections du résumé

BACKGROUND BACKGROUND
Acute myeloid leukemia (AML) is a typically fatal malignancy and new drug and treatment need to be developed for a better survival outcome. Cold atmospheric plasma (CAP) is a novel technology, which has been widely applied in biomedicine, especially in various of cancer treatment. However, the changes in cell metabolism after CAP treatment of leukemia cells have been rarely studied.
METHODS METHODS
In this study, we investigated the metabolite profiling of plasma treatment on leukemia cells based on Gas Chromatography Tandem Time-of-Flight Mass Spectrometry (GC-TOFMS). Simultaneously, we conducted a series of bioinformatics analysis of metabolites and metabolic pathways with significant differences after basic data analysis.
RESULTS RESULTS
800 signals were detected by GC-TOF mass-spectrometry and then evaluated using PCA and OPLS-DA. All the differential metabolites were listed and the related metabolic pathways were analyzed by KEGG pathway. The results showed that alanine, aspartate and glutamate metabolism had a significant change after plasma treatment. Meanwhile, d-glutamine and d-glutamate metabolism were significantly changed by CAP. Glutaminase activity was decreased after plasma treatment, which might lead to glutamine accumulation and leukemia cells death.
CONCLUSIONS CONCLUSIONS
We found the above two metabolic pathways vulnerable to plasma treatment, which might result in leukemia cells death and might be the cornerstone of further exploration of plasma treatment targets.

Identifiants

pubmed: 31130824
doi: 10.1186/s12935-019-0856-4
pii: 856
pmc: PMC6525389
doi:

Types de publication

Journal Article

Langues

eng

Pagination

135

Déclaration de conflit d'intérêts

Competing interestsThe authors declare that they have no competing interests.

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Auteurs

Dehui Xu (D)

1State Key Laboratory of Electrical Insulation and Power Equipment, Centre for Plasma Biomedicine, Xi'an Jiaotong University, Xi'an, 710049 Shaanxi People's Republic of China.

Ning Ning (N)

2The School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049 Shaanxi People's Republic of China.

Yujing Xu (Y)

1State Key Laboratory of Electrical Insulation and Power Equipment, Centre for Plasma Biomedicine, Xi'an Jiaotong University, Xi'an, 710049 Shaanxi People's Republic of China.

Bingchuan Wang (B)

1State Key Laboratory of Electrical Insulation and Power Equipment, Centre for Plasma Biomedicine, Xi'an Jiaotong University, Xi'an, 710049 Shaanxi People's Republic of China.

Qingjie Cui (Q)

2The School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049 Shaanxi People's Republic of China.

Zhijie Liu (Z)

1State Key Laboratory of Electrical Insulation and Power Equipment, Centre for Plasma Biomedicine, Xi'an Jiaotong University, Xi'an, 710049 Shaanxi People's Republic of China.

Xiaohua Wang (X)

1State Key Laboratory of Electrical Insulation and Power Equipment, Centre for Plasma Biomedicine, Xi'an Jiaotong University, Xi'an, 710049 Shaanxi People's Republic of China.

Dingxin Liu (D)

1State Key Laboratory of Electrical Insulation and Power Equipment, Centre for Plasma Biomedicine, Xi'an Jiaotong University, Xi'an, 710049 Shaanxi People's Republic of China.

Hailan Chen (H)

3Frank Reidy Center for Bioelectrics, Old Dominion University, Norfolk, VA 23508 USA.

Michael G Kong (MG)

1State Key Laboratory of Electrical Insulation and Power Equipment, Centre for Plasma Biomedicine, Xi'an Jiaotong University, Xi'an, 710049 Shaanxi People's Republic of China.
3Frank Reidy Center for Bioelectrics, Old Dominion University, Norfolk, VA 23508 USA.
4Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23529 USA.

Classifications MeSH