Improving quality of analysis by suppression of unwanted signals through band-selective excitation in NMR spectroscopy for metabolomics studies
ConclusionThis, in turn, enables the identification of a greater number of metabolites. Additionally, it streamlines the experimental process, reducing the time required for the comparative quantification of metabolites in statistical studies in the field of metabolomics. (Source: Metabolomics)
Source: Metabolomics - December 19, 2023 Category: Biology Source Type: research
Maternal and newborn metabolomic changes associated with urinary polycyclic aromatic hydrocarbon metabolite concentrations at delivery: an untargeted approach
ConclusionIn this cross-sectional study, we identified associations between urinary PAH concentrations during late pregnancy and metabolic features associated with several metabolic pathways among pregnant women and newborns. Further studies are needed to explore the mediating role of the metabolome in the relationship between PAHs and adverse pregnancy outcomes. (Source: Metabolomics)
Source: Metabolomics - December 14, 2023 Category: Biology Source Type: research
Discrimination of different feed additives and poly-herbal formulations based on their untargeted phytochemical profiles
ConclusionsOur findings provide new insights into the comprehensive phytochemical composition of commercial feed additives and blend of botanical extracts used for both ruminant and non-ruminant nutrition. A great importance of polyphenols in relation to the biological activities was detected. (Source: Metabolomics)
Source: Metabolomics - December 11, 2023 Category: Biology Source Type: research
Comparison of nocturnal and diurnal metabolomes of rose flowers and leaves
ConclusionThe influence of day and night on the metabolome of rose flowers and leaves has been clearly demonstrated. The hormonal modulations occurring during the night and at day are consistent with the plant circadian cycle. A proposed management of the sesquiterpenoid and triterpenoid biosynthetic pathway may explain these changes in the flower. In leaves, the metabolic differences may reflect night-time regulation in favor of the salicylic acid pathway. (Source: Metabolomics)
Source: Metabolomics - December 8, 2023 Category: Biology Source Type: research
Non-targeted LC –MS/MS metabolomic profiling of human plasma uncovers a novel Mediterranean diet biomarker panel
ConclusionOur study highlights the utility of metabolomics as an approach for developing novel panels of dietary biomarkers. Quantitative profiling of these metabolites is required to validate their utility for evaluating dietary adherence. (Source: Metabolomics)
Source: Metabolomics - December 8, 2023 Category: Biology Source Type: research
Comparison of nocturnal and diurnal metabolomes of rose flowers and leaves
ConclusionThe influence of day and night on the metabolome of rose flowers and leaves has been clearly demonstrated. The hormonal modulations occurring during the night and at day are consistent with the plant circadian cycle. A proposed management of the sesquiterpenoid and triterpenoid biosynthetic pathway may explain these changes in the flower. In leaves, the metabolic differences may reflect night-time regulation in favor of the salicylic acid pathway. (Source: Metabolomics)
Source: Metabolomics - December 8, 2023 Category: Biology Source Type: research
Non-targeted LC –MS/MS metabolomic profiling of human plasma uncovers a novel Mediterranean diet biomarker panel
ConclusionOur study highlights the utility of metabolomics as an approach for developing novel panels of dietary biomarkers. Quantitative profiling of these metabolites is required to validate their utility for evaluating dietary adherence. (Source: Metabolomics)
Source: Metabolomics - December 8, 2023 Category: Biology Source Type: research
A new statistical workflow (R-packages based) to investigate associations between one variable of interest and the metabolome
ConclusionRobustness and benefits of the statistical workflow were clearly demonstrated, and everyone can directly re-use it for analysis of own data. (Source: Metabolomics)
Source: Metabolomics - November 30, 2023 Category: Biology Source Type: research
Machine learning for predicting diabetic metabolism in the Indian population using polar metabolomic and lipidomic features
ConclusionPolar metabolic and lipid profile of diabetic individuals is very different from that of healthy individuals. Lipid profile alters before the polar metabolic profile in diabetes-susceptible individuals. Without regard to glucose, the diabetic closeness of the metabolism of any individual can be determined. (Source: Metabolomics)
Source: Metabolomics - November 28, 2023 Category: Biology Source Type: research
