NMR-based metabolic profiling for serum of mouse exposed to source water

Abstract

(1)H nuclear magnetic resonance (NMR) based metabonomic method was used to characterize the profile of low-molecular-weight endogenous metabolites in mouse (Mus musculus) serum following exposure to Taihu Lake source water for 90 days. The (1)H NMR spectra of mice sera were recoded and a total of 21 metabolites were identified. Data reduction and latent biomarkers identification were processed by pattern recognition (PR) analysis. The principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) identified differences in metabolic profiles between control and treatment groups. A number of serum metabolic perturbations were observed in sera of source water treatment mice compared to control mice, including decreased levels of acetone, pyruvate, glutamine, lysine and citrate. These results indicated that Taihu Lake source water could induce energy metabolism changes in mouse related to fatty acid β-oxidation, tricarboxylic acid (TCA) cycle, citric acid cycle, and metabolism of some amino acids. (1)H NMR-based metabolic profiling provides new insight into the toxic effect of Taihu Lake source water, and suggests potential biomarkers for noninvasive monitoring of health risk.

Hepatic gene expression analysis of mice exposed to raw water from Meiliang Bay, Lake Taihu, China

“…During the same exposure period of this study, another 20 mice were fed with pure water and Lake Taihu water under the same conditions. 1 H nuclear magnetic resonance (NMR) based metabonomic method was used to characterize the profiles of low‐molecular‐weight endogenous metabolites in mouse serum (Zhang et al ., ). The results showed that the raw lake water perturbed the energy and amino acid metabolism, which was partly consistent with the results of serum biochemistry analysis and microarray analysis.…”

“…Before exposure of the mice, 22 organic pollutants and 20 trace elements in water samples were determined. The monitoring data have been discussed in our previous report (Zhang et al ., ). In order to identify in detail the potential health effects of the measured pollutants, in this study, human health risk assessment was carried out.…”

“…cDNA microarray technology, combined with chronic animal experiments, provides an alternative for determination of global gene expression associated with environmental stress at the level of messenger RNA, especially for the early toxicological effects of pollutants at environmentally relevant exposure levels (Neumann and Galvez, ; Lettieri, ; Liu et al ., ; Andrew et al ., ; Leon et al ., ; Mattingly et al ., ). Our previous studies have reported that a cDNA microarray approach could effectively characterize the toxicological effects of Yangtze River source water (Wu et al ., ; Zhang et al ., ), and found raw lake water from Lake Taihu could reduce the variability in metabolic profiling of mouse serum (Zhang et al ., ). However, there is no report employing a cDNA microarray approach to evaluate in detail the early toxicological effects of water from Lake Taihu at a transcriptomic level.…”