Metabolomic Analysis of Resveratrol-Induced Effects in the Human Breast Cancer Cell Lines MCF-7 and MDA-MB-231

Jäger, Walter; Gruber, Alexandra Carina; Giessrigl, Benedikt; Krupitza, Georg; Szekeres, Thomas; Sonntag, Denise

doi:10.1089/omi.2010.0114

Cited by 30 publications

(14 citation statements)

References 18 publications

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“…Methods for detaching adherent cells from culture dishes using trypsin have been shown to cause significant metabolite leakage [23,24,25]. Lastly, methods developed for targeted analyses are not suitable for untargeted analyses as they are optimized to extract metabolites from a specific metabolite class (e.g., only polar metabolites) [26,27,28]. …”

Section: Introductionmentioning

confidence: 99%

Optimized Method for Untargeted Metabolomics Analysis of MDA-MB-231 Breast Cancer Cells

et al. 2016

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Cancer cells often have dysregulated metabolism, which is largely characterized by the Warburg effect—an increase in glycolytic activity at the expense of oxidative phosphorylation—and increased glutamine utilization. Modern metabolomics tools offer an efficient means to investigate metabolism in cancer cells. Currently, a number of protocols have been described for harvesting adherent cells for metabolomics analysis, but the techniques vary greatly and they lack specificity to particular cancer cell lines with diverse metabolic and structural features. Here we present an optimized method for untargeted metabolomics characterization of MDA-MB-231 triple negative breast cancer cells, which are commonly used to study metastatic breast cancer. We found that an approach that extracted all metabolites in a single step within the culture dish optimally detected both polar and non-polar metabolite classes with higher relative abundance than methods that involved removal of cells from the dish. We show that this method is highly suited to diverse applications, including the characterization of central metabolic flux by stable isotope labelling and differential analysis of cells subjected to specific pharmacological interventions.

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Section: Introductionmentioning

confidence: 99%

Optimized Method for Untargeted Metabolomics Analysis of MDA-MB-231 Breast Cancer Cells

et al. 2016

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“…Findings from our lab and others have demonstrated that Rev possesses various beneficial effects on cardiovascular disease, pulmonary disease, and cancers [19, 32-37]. Jager et al verified that Rev increased the production of serotonin, kynurenine and spermidine, and repressed the level of prostaglandin E2 (PGE2) in the human breast cancer cell lines MCF-7 and MDA-mb-231 [38], indicating that Rev might regulate some small molecules acting as potential markers for disease treatment.…”

Section: Discussionmentioning

confidence: 99%

Metabolomics Reveals Protection of Resveratrol in Diet-Induced Metabolic Risk Factors in Abdominal Muscle

Chen

Zhang

et al. 2018

Cell Physiol Biochem

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Background/Aims: Abdominal obesity is recognized as the main reason of metabolic syndrome, which is closely related to disordered skeletal and/or abdominal muscle metabolic functions. Metabolomics is a comprehensive assessment system in biological metabolites. The aim of our present study is to investigate the diet-induced metabolic risk factors by metabolic in the abdominal muscles and clarify the relationship between atheroprotective effects of Resveratrol (Rev) and abdominal muscles metabolic components during the development of atherosclerosis. Methods: The mice were randomly divided into three groups including normal group (N), high fat diet (HFD or H) group and high fat diet with Rev treated group (HR). GC-MS combined with pattern recognition approaches were employed to obtain comprehensive metabolic signatures and related differential metabolites after 24 week HFD feeding. Oil Red O staining and Electron microscopy technology (EMT) were employed to detect the size of fatty plaques and intracellular lipid accumulation, respectively. Results: The result indicated that 22 types of metabolites in the abdominal muscles were obviously altered by HFD feeding group. Moreover, Rev treatment obviously increased 11 different kinds of metabolites, most of which were involved in the carbohydrate, amino acid and lipid metabolisms. Importantly, these elevated different metabolites were involved in pathways mainly related to galactose metabolism, alanine, aspartate and glutamate metabolism, glyoxylate and dicarboxylate metabolism in abdominal muscles. Oil Red O staining and Electron microscopy showed less lipid accumulation in the lesions and decreased intracellular lipid deposition in the foam cells in HR group. Conclusions: We concluded that Rev produced a beneficial effect partially by modulating multiple metabolism pathways and metabolites in the abdominal muscles, which may provide a new protective mechanism of Rev on the progression of atherosclerosis. These notably changed metabolites might be potential biomarkers or therapeutic targets during development of metabolic syndrome and atherosclerosis.

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“…Other compounds require tricky preanalytical procedures or challenging analytical methods, for example, nitrated amino acids or oxidized nucleotides. Highly sophisticated sample preparation protocols and mass spectrometric assays have been developed for many of these analytes [139,140] but, due to their complexity and limited robustness, they are still far from a routine application in clinical chemistry.…”

Section: Oxidative Stress and Functional Consequencesmentioning

confidence: 99%

Towards Metabolic Biomarkers for the Diagnosis and Prognosis of CKD

Lundin¹,

Weinberger²

2018

Advances in Nephropathy

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Chronic kidney disease, the gradual loss of renal function, is an increasingly recognized burden for patients and health care systems; globally, it has a high and rapidly growing prevalence, a significant mortality, and causes disproportionately high costs, particularly for hemodialysis and kidney transplantations. Yet, the available diagnostic tools are either impractical in clinical routine or have serious shortcomings preventing a well-informed disease management, although optimized treatment strategies with impressive benefits for patients have been established. Advances in bioanalytics have facilitated the identification of many genomic, proteomic, and metabolic biomarker candidates, some of which have been validated in independent cohorts. Summarizing the markers discovered so far, this chapter focuses on compounds or pathways, for which quantitative data, substantiating evidence from translational research, and a mechanistic understanding is available. Also, multiparametric marker panels have been suggested with promising diagnostic and prognostic performance in initial analyses, although the data basis from prospective trials is very limited. Large-scale studies, however, are underway and will validate certain sets of parameters and discard others. Finally, the path from clinical research to routine application is discussed, focusing on potential obstacles such as the use of mass spectrometry, and the feasibility of obtaining regulatory approval for metabolomics assays.

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Metabolomic Analysis of Resveratrol-Induced Effects in the Human Breast Cancer Cell Lines MCF-7 and MDA-MB-231

Cited by 30 publications

References 18 publications

Optimized Method for Untargeted Metabolomics Analysis of MDA-MB-231 Breast Cancer Cells

Optimized Method for Untargeted Metabolomics Analysis of MDA-MB-231 Breast Cancer Cells

Metabolomics Reveals Protection of Resveratrol in Diet-Induced Metabolic Risk Factors in Abdominal Muscle

Towards Metabolic Biomarkers for the Diagnosis and Prognosis of CKD

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