No abstract

No abstract

No abstract

In this study, La Rioja wine terroir was investigated by the use of (1)H NMR metabolomics on must and wine samples. Rioja is a small wine region in central northern Spain which can geographically be divided into three subareas (Rioja Alta, Rioja Baja, and Rioja Alavesa). The winemaking process from must, through alcoholic and malolactic fermentation, was followed by NMR metabolomics and chemometrics of nine wineries in the Rioja subareas (terroirs). Application of interval extended canonical variate analysis (iECVA) showed discriminative power between wineries which are geographically very close. Isopentanol and isobutanol compounds were found to be key biomarkers for this differentiation.

In nutritional metabolomics a large inter-and intra-subject variability exists, and thus, it becomes important to limit the variance introduced by external factors. In a composite controlled study with full provision of all food for the standardized intervention, human urinary metabolite profiles were investigated for different factors, such as handling of urine collections, diet standardization, diet culture, cohabitation and gender. In study A, 8 healthy subjects (4 men; 4 women) collected 24-h urine, splitting each void into two specimens stored either at 4°C or at room temperature. In study B, 16 healthy subjects (7 men; 9 women) collected 24-h urine for three days while being on a standardized diet. Samples were analyzed by 1 H NMR and chemometrics. The NMR profiles indicated the presence of metabolites presumably originating from bacterial contamination in 3 out of 16 sample collections stored at room temperature. On the contrary, no changes in the NMR profiles due to contamination occurred in the 24-h urine samples stored at 4°C. The study also showed a trend towards a reduced inter-and intra-individual variation during 3 days of diet standardization. In study A, the urine metabolome showed a clear effect of diet culture and cohabitation, but these effects significantly attenuated after diet standardization (study B). Besides, gender-specific differences were found in both studies. Our results emphasize that best practice for any metabolomic study is a standardized, chilled sample collection procedure, and recommend that diet standardization is performed prior to dietary interventions in order to reduce intra-and intersubject variability.

No abstract

No abstract

Breast cancer is a major cause of death for women. To improve treatment, current oncology research focuses on discovering and validating new biomarkers for early detection of cancer; so far with limited success. Metabolic profiling of plasma samples and auxiliary lifestyle information was combined by chemometric data fusion. It was possible to create a biocontour, which we define as a complex pattern of relevant biological and phenotypic information. While single markers or known risk factors have close to no predictive value, the developed biocontour provides a forecast which, several years before diagnosis, is on par with how well most current biomarkers can diagnose current cancer. Hence, while e.g. mammography can diagnose current cancer with a sensitivity and specificity of around 75 %, the currently developed biocontour can predict that there is an increased risk that breast cancer will develop in a subject 2–5 years after the sample is taken with sensitivity and specificity well above 80 %. The model was built on data obtained in 1993–1996 and tested on persons sampled a year later in 1997. Metabolic forecasting of cancer by biocontours opens new possibilities for early prediction of individual cancer risk and thus for efficient screening. This may provide new avenues for research into disease mechanisms.Electronic supplementary materialThe online version of this article (doi:10.1007/s11306-015-0793-8) contains supplementary material, which is available to authorized users.