Tag Archives: metabolomics

Metabolic profiling for the detection of early effects of environmental and lifestyle exposure to cadmium.

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“Metabolic Profiling Detects Early Effects of Environmental and Lifestyle Exposure to Cadmium in a Human Population” JK Ellis, TJ Athersuch, LDK Thomas, F Teichert, M Pérez-Trujillo, C Svendsen, D J. Spurgeon, R Singh, L Järup, JG Bundy and HC Keun.  BMC Medicine, February 2012.  DOI: 10.1186/1741-7015-10-61

The ‘exposome’ represents the accumulation of all environmental exposures across a lifetime. Top-down strategies are required to assess something this comprehensive, and could transform our understanding of how environmental factors affect human health. Metabolic profiling (metabonomics / metabolomics)  defines an individual’s metabolic phenotype, which is influenced by genotype, diet, lifestyle, health and xenobiotic exposure, and could also reveal intermediate biomarkers for disease risk that reflect adaptive response to exposure. Continue reading Metabolic profiling for the detection of early effects of environmental and lifestyle exposure to cadmium. →

Presentations to the Ibero-American NMR & GERMN Bienal & Iberian NMR joint meeting

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Next week several SeRMN members will present our research work at the IV Ibero-American NMR – VI GERMN Bienal – III Iberian NMR joint meeting that will take place in Aveiro (Portugal) from 25th to 28th September. Find below a summary of our contributions.

Continue reading Presentations to the Ibero-American NMR & GERMN Bienal & Iberian NMR joint meeting →

ECOMETABOLOMICS: Metabolomics in Ecological Studies

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“Strong relationship between elemental stoichiometry and metabolome in plants” Albert Rivas-Ubach, Jordi Sardans, Miriam Pérez-Trujillo, Marc Estiarte and Josep Peñuelas.  PNAS, February 2012. DOI: 10.1073/pnas.1116092109

Shifts in the elemental stoichiometry of organisms in response to their ontogeny and to changing environmental conditions should be related to metabolomic changes because elements operate mostly as parts of molecular compounds. Here we show this relationship in leaves of Erica multiflora throughout their seasonal development and in response to moderate experimental field conditions of drought and warming. Continue reading ECOMETABOLOMICS: Metabolomics in Ecological Studies →

CHIRAL METABONOMICS: Giving Metabonomics a Chiral Dimension

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“Chiral Metabonomics: 1H NMR-Based Enantiospecific Differentiation of Metabolites in Human Urine via Direct Cosolvation with β-Cyclodextrin” Míriam Pérez-Trujillo, John C. Lindon, Teodor Parella, Hector C. Keun, Jeremy K. Nicholson and Toby J. Athersuch. Analytical Chemistry, February 2012 DOI:10.1021/ac203291d

Differences in molecular chirality remain an important issue in drug metabolism and pharmacokinetics for the pharmaceutical industry and regulatory authorities and chirality is an important feature of many endogenous metabolites. We present a 1H NMR-based method for the rapid, direct differentiation and identification of chiral drug enantiomers in human urine without pre-treatment of any kind. Continue reading CHIRAL METABONOMICS: Giving Metabonomics a Chiral Dimension →

Hyperpolarized 13C magnetic resonance metabolic imaging in a mouse brain glioma model

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Magnetic resonance spectroscopic imaging (MRSI) of hyperpolarized [1-13C]pyruvate is a promising technique to noninvasively monitor metabolic changes in vivo. This method uses dynamic nuclear polarization (DNP) techniques to obtain tens of thousands fold enhancement in the polarization of [1-13C]pyruvate and its metabolic products, like lactate, providing sufficient MR signal for high spatial and temporal resolution spectroscopic imaging of these metabolites. Continue reading Hyperpolarized 13C magnetic resonance metabolic imaging in a mouse brain glioma model →

Classification of multiple sclerosis clinical forms by 1-H magnetic ressonance spectroscopy of cerebrospinal fluid

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Fuzzy Sets and Systems journal “Decision tree based fuzzy classifier of 1-H magnetic resonance spectra from cerebrospinal fluid samples ”, Francesc Xavier Aymerich, Juli Alonso, Miquel E. Cabañas, M. Comabella, P. Sobrevilla, Alex Rovira; Fuzzy Sets and Systems 170, 43-63 (2011). DOI: 10.1016/j.fss.2011.01.003

This paper presents a method for classifying cerebrospinal fluid (CSF) samples studied by proton magnetic resonance spectroscopy (1-H MRS) into clinical subgroups by means of a fuzzy classifier. The method focuses on the analysis of a low signal-to-noise region of the spectra and is designed to use a small number of samples because sampling can only be done through an invasive technique. Continue reading Classification of multiple sclerosis clinical forms by 1-H magnetic ressonance spectroscopy of cerebrospinal fluid →

Conference: Metabolomics

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Dr Toby Athersuch will be giving a talk on May the 20th at 12:00 h in the Sala de Graus 2, Facultat de Ciències i Biociències, Campus UAB. His talk is entitled “Adventures in metabolic hyperspace: an overview of metabonomic approaches and applications”. (Conference announcement: Conferència Toby – SeRMN)

Toby AthersuchDr Toby Athersuch is a Lecturer in Environmental Toxicology & Biomarkers in the MRC-HPA Centre for Environment & Health (Imperial College London). His appointment is jointly held between Biomolecular Medicine in the Department of Surgery & Cancer, and The Department of Epidemiology & Biostatistics in the School of Public Health. His research is primarily focused on the development and application of state-of-the-art analytical techniques such as high-resolution nuclear magnetic resonance (NMR) spectroscopic and mass spectrometric (MS) methods to the study of molecular mechanisms of human disease processes.  The application of metabolic profiling and other integrated post-genomic profiling technologies to answering epidemiological questions using various study designs is a rapidly expanding field of research, and requires the development of profiling techniques to underpin the required individual-level analyses. (See more: Short Bio – Toby Athersuch )

All interested individuals are welcome to attend this session.