Effects of Vancomycin and Ciprofloxacin on the NMRI Mouse Metabolism.
Zhigang LiuBing XiaJasmina SaricJürg UtzingerElaine HolmesJennifer KeiserJia V LiPublished in: Journal of proteome research (2018)
The reduction in gut microbiota diversity is associated with a range of human diseases. Overuse of antibiotics has been associated with a diminished gut-microbial diversity in humans and may promote microbiota-associated negative effects to physical health, such as the metabolic syndrome-cluster of diseases and mental illnesses. There is a pressing need to deepen the understanding of the effects of antibiotics at the biochemical level. The current study investigated metabolic effects of two widely prescribed antibiotics-vancomycin and ciprofloxacin-on biofluids and brain tissue samples of NMRI female mice using a 1H nuclear magnetic resonance (NMR) spectroscopy-based metabolic profiling approach. While both antibiotics significantly affected the host metabolic signatures of urine and feces, only ciprofloxacin induced metabolic changes in plasma. Metabolic perturbations were pronounced 1 day post-treatment, reverting back to baseline at day 20 post-treatment. Both antibiotics induced changes in the choline metabolism, host-microbial cometabolites, short chain fatty acid production, and protein/purine degradation. The metabolic profiles of brain tissue aqueous extracts did not show any antibiotics-related changes by day 20 post-treatment. The data suggest that the metabolic disruptions in biofluids caused by antibiotics are reversed by day 20 post-treatment when compared to the pre-treatment profiles.
Keyphrases
- magnetic resonance
- metabolic syndrome
- pseudomonas aeruginosa
- endothelial cells
- mental health
- magnetic resonance imaging
- type diabetes
- public health
- gene expression
- multiple sclerosis
- machine learning
- dna methylation
- mass spectrometry
- cardiovascular disease
- white matter
- staphylococcus aureus
- functional connectivity
- blood brain barrier
- cystic fibrosis
- binding protein
- contrast enhanced
- electronic health record
- artificial intelligence
- deep learning
- human health