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

Accurate estimation of diffusion coefficient for molecular identification in a complex background

To eliminate the effects of complex background signals and to enhance the accuracy of the diffusion coefficient measurement, derivative NMR spectroscopy with negligible loss of the spectral quality is introduced based on the customized Savitzky-Golay method and used to construct diffusion-ordered NMR spectroscopy (DOSY). The criterion of the method was established by simulations. The application of this method on mouse urine and serum showed that the accuracy and precision of diffusion coefficient measurements in a complex background were improved to enhance the identification of molecules. Graphical abstract Diffusion-ordered NMR spectroscopy is a powerful tool for analyzing complex mixtures. To improve the accuracy of diffusion coefficient measurement, the magnitude of complex derivative spectra is introduced as a post-processing method to eliminate the effects of background signals, broad signals, or distorted baseline. And thus, accurate estimate of the diffusion coefficient is ensured to enhance the molecule identification.

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

Lake water is a micro-polluted water system, and characterization of its toxicity remains difficult. Microarray-based determination of altered gene expression might be an alterative approach. We chose raw water from Meiliang Bay, Lake Taihu, China as the target water. Male mice were exposed to the lake water for 90 days. Total hepatic RNA was applied to interrogate the Affymetrix Mouse Genome 430A 2.0 array. Gene ontology analysis, pathway analysis and gene network analysis were used to identify biological effects of differently expressed genes. The results showed that the expressions of 170 genes were altered. Nine biological processes and nine biological pathways were significantly perturbed (P ≤ 0.01), mainly linked to the regulation of cell processes, DNA repair, chromatin modification, oxidative reduction and carbohydrate metabolism. Important genes, such as Prkca, Pik3r1, Fgfr1 and Zbtb16, were identified by gene network analysis. This study provided excellent insights into early toxicological effects related to raw Lake Taihu water, and illustrated that the toxicogenomic approach might be a useful tool to evaluate potential environmental health effects of raw lake water.