重叠密度热图:代谢组学研究的新方法
Overlap Density Heatmaps: A Novel Approach to Metabolomics Research
Abstract
In this study, we introduce a novel tool, the Overlap Density Heatmap (ODH), for the visualization and quantitative evaluation
of the (dis)similarity in massive amounts of spectral or chromatographic data. This new spectral visualization tool was applied to a study of the 1 H NMR spectra of human serum samples from 37 diabetic and non-diabetic subjects. OD consensus spectra of the normal and diabetic samples were generated, and a difference spectrum of the two was determined. This difference spectrum identified diagnostic peak regions which can distinguish diabetic from normal patient samples. Using the difference spectrum as a search against the whole dataset revealed clear separation between both patient populations. Further, we then deployed the difference spectrum as a search query against a database of known metabolites. Only D-glucose, a known biomarker for diabetes, was retrieved. The result illustrates the versatility of applying the ODH to identifying the requisite metabolite/biomarker for a disease type such as diabetes.
In a complementary study, we deployed Principal Component Analysis (PCA) to the analysis of the same 37 samples. Good
class separation between both patient populations was obtained. The PCA loadings plot, which highlights important peak positions, and may also implicate metabolites, was compared to the difference spectrum from ODH and found to share many similar features. When used as a search query, the loadings plot spectrum retrieved a single hit, (D-glucose), from the metabolite database, similarly as was found for the ODH-based search query. These findings demonstrate that ODH can provide an unbiased approach to enhancing the multivariate analysis and interpretation of NMR-based metabolomics data.
Conclusions
We have shown that this new Overlay Heat Density (ODH) technique has wide applications in spectral visualization, analysis, and metabolomics research. In combination with chemometrics tools, the ODH technology offers a very powerful approach to the study of metabolite identification and characterization. Incorporation of Infometrix' chemometrics software (Pirouette ® ) into the KnowItAll package offers researchers a fully-integrated NMR-based metabolomics platform. Such an integrated platform opens the door to multi-technique metabolomics studies, which should provide more options for future research in this area.