Metabolism has an essential role in biological systems. Identification and quantitation of the compounds in the metabolome is defined as metabolic profiling, and it is applied to define metabolic changes related to genetic differences, environmental influences and disease or drug perturbations. Chromatography-mass spectrometry (MS) platforms are frequently used to provide the sensitive and reproducible detection of hundreds to thousands of metabolites in a single biofluid or tissue sample. Here we describe the experimental workflow for long-term and large-scale metabolomic studies involving thousands of human samples with data acquired for multiple analytical batches over many months and years. Protocols for serum- and plasma-based metabolic profiling applying gas chromatography-MS (GC-MS) and ultraperformance liquid chromatography-MS (UPLC-MS) are described. These include biofluid collection, sample preparation, data acquisition, data pre-processing and quality assurance. Methods for quality control-based robust LOESS signal correction to provide signal correction and integration of data from multiple analytical batches are also described.
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http://dx.doi.org/10.1038/nprot.2011.335 | DOI Listing |
Sci Rep
December 2024
The University of Trans-Disciplinary Health Sciences and Technology (TDU), 74/2, Post Attur via Yelahanka, Jarakabande Kaval, Bengaluru, 560 064, India.
Triphala is a traditional Ayurvedic herbal formulation composed of three fruits: amla (Phyllanthus emblica), bibhitaki (Terminalia bellerica), and haritaki (Terminalia chebula). Triphala is a potent Ayurvedic remedy that promotes digestion, detoxification, and overall wellness, while also providing antioxidant benefits through its trio of nutrient-rich fruits. In order to elucidate the individual contributions of the three ingredients of Triphala from molecular perspective, the individual ingredients were used for the untargeted LCMS/MS analysis.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Research has shown various hydrolyzed proteins possessed beneficial physiological functions; however, the mechanism of how hydrolysates influence metabolism is unclear. Therefore, the current study aimed to examine the effects of different sources of protein hydrolysates, being the main dietary protein source in extruded diets, on metabolism in healthy adult dogs. Three complete and balanced extruded canine diets were formulated: control chicken meal diet (CONd), chicken liver and heart hydrolysate diet (CLHd), mechanically separated chicken hydrolysate diet (CHd).
View Article and Find Full Text PDFNat Commun
December 2024
IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy.
Acute myeloid leukemia (AML) is an aggressive disease with a high relapse rate. In this study, we map the metabolic profile of CD34(CD38) AML cells and the extracellular vesicle signatures in circulation from AML patients at diagnosis. CD34 AML cells display high antioxidant glutathione levels and enhanced mitochondrial functionality, both associated with poor clinical outcomes.
View Article and Find Full Text PDFJ Cosmet Dermatol
January 2025
Department of Dermatology, Chinese People's Liberation Army Western Theater Command General Hospital, Chengdu, China.
Background: Acne is a common skin disorder that may be linked to metabolic dysfunction. However, the causal impact of blood metabolites on acne has not been thoroughly investigated.
Methods: We performed a metabolome-wide Mendelian randomization (MR) analysis on 486 blood metabolites and acne using a genome-wide association dataset.
J Agric Food Chem
December 2024
Agronomy College, Guizhou University, Huaxi, 550025 Guiyang, Guizhou, P. R. China.
Safflower ( L.) is a valuable oil crop due to its bioactive ingredients and high linoleic acid content, which contribute to its antioxidant properties and potential for preventing atherosclerosis. Current research on safflower focuses on understanding the biosynthesis of seed oil through omics strategies, yet there is a lack of comprehensive knowledge of the dynamic changes in lipids and the regulatory mechanisms during seed development.
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