Metabolomics

Dataset Information

0

MetaboLights MTBLS1066 - GNPS Untargeted Metabolomics Reveals Molecular Effects of Ketogenic Diet on Healthy and Tumor Xenograft Mouse Models.


ABSTRACT: The application of ketogenic diet (KD) (high fat/low carbohydrate/adequate protein) as an auxiliary cancer therapy is a field of growing attention. KD provides sufficient energy supply for healthy cells, while possibly impairing energy production in highly glycolytic tumor cells. Moreover, KD regulates insulin and tumor related growth factors (like insulin growth factor-1, IGF-1). In order to provide molecular evidence for the proposed additional inhibition of tumor growth when combining chemotherapy with KD, we applied untargeted quantitative metabolome analysis on a spontaneous breast cancer xenograft mouse model, using MDA-MB-468 cells. Healthy mice and mice bearing breast cancer xenografts and receiving cyclophosphamide chemotherapy were compared after treatment with control diet and KD. Metabolomic profiling was performed on plasma samples, applying high-performance liquid chromatography coupled to tandem mass spectrometry. Statistical analysis revealed metabolic fingerprints comprising numerous significantly regulated features in the group of mice bearing breast cancer. This fingerprint disappeared after treatment with KD, resulting in recovery to the metabolic status observed in healthy mice receiving control diet. Moreover, amino acid metabolism as well as fatty acid transport were found to be affected by both the tumor and the applied KD. Our results provide clear evidence of a significant molecular effect of adjuvant KD in the context of tumor growth inhibition and suggest additional mechanisms of tumor suppression beyond the proposed constrain in energy supply of tumor cells.

INSTRUMENT(S): Q Exactive|1001911

ORGANISM(S): Mus Musculus|10090

SUBMITTER: David Licha  

PROVIDER: MSV000085879 | GNPS | Sat Aug 01 12:51:00 BST 2020

REPOSITORIES: GNPS

Similar Datasets

2019-10-08 | MTBLS1066 | MetaboLights
2014-06-30 | E-GEOD-37849 | biostudies-arrayexpress
2024-01-31 | GSE235445 | GEO
2021-08-26 | BIOMD0000001037 | BioModels
2013-01-29 | E-GEOD-39220 | biostudies-arrayexpress
2021-08-26 | BIOMD0000001038 | BioModels
2020-12-16 | PXD019495 | Pride
2012-06-29 | E-GEOD-28713 | biostudies-arrayexpress
2018-01-24 | ST000927 | MetabolomicsWorkbench
2018-01-24 | ST000928 | MetabolomicsWorkbench