A5069552188- Metabolomics and Mass Spectrometry Studies
- Nutritional Studies and Diet
- Diet and metabolism studies
- Nutrition, Genetics, and Disease
- Bioinformatics and Genomic Networks
- Advanced Proteomics Techniques and Applications
- Liver Disease Diagnosis and Treatment
- Cancer, Stress, Anesthesia, and Immune Response
- Ruminant Nutrition and Digestive Physiology
- Advanced Chemical Sensor Technologies
- Nutrition and Health in Aging
- Cancer, Lipids, and Metabolism
- Gut microbiota and health
- Birth, Development, and Health
- Genetic and phenotypic traits in livestock
- Analytical Chemistry and Chromatography
- Gene expression and cancer classification
- Eicosanoids and Hypertension Pharmacology
- Frailty in Older Adults
- Pharmacogenetics and Drug Metabolism
- Cancer-related cognitive impairment studies
- Alcohol Consumption and Health Effects
- Gestational Diabetes Research and Management
- Research Data Management Practices
- Effects of Environmental Stressors on Livestock
Unité de Nutrition Humaine
2015-2025
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2015-2025
Université Clermont Auvergne
2016-2025
Centre de Recherche en Nutrition Humaine d'Auvergne
2014-2023
MetaboHUB
2014-2023
Clermont Université
2016-2022
Metabo (Switzerland)
2017-2020
Institut National de la Recherche Agronomique du Niger
2016
Centre de Recherche en Nutrition Humaine Rhône-Alpes
2014
Sorbonne Université
2014
Galaxy is a mature, browser accessible workbench for scientific computing. It enables scientists to share, analyze and visualize their own data, with minimal technical impediments. A thriving global community continues use, maintain contribute the project, support from multiple national infrastructure providers that enable freely analysis training services. The Training Network supports free, self-directed, virtual >230 integrated tutorials. Project engagement metrics have continued grow...
Abstract Summary: The complex, rapidly evolving field of computational metabolomics calls for collaborative infrastructures where the large volume new algorithms data pre-processing, statistical analysis and annotation can be readily integrated whatever language, evaluated on reference datasets chained to build ad hoc workflows users. We have developed Workflow4Metabolomics (W4M), first fully open-source online platform metabolomics. W4M is a virtual research environment built upon Galaxy...
Untargeted metabolomics is a powerful phenotyping tool for better understanding biological mechanisms involved in human pathology development and identifying early predictive biomarkers. This approach, based on multiple analytical platforms, such as mass spectrometry (MS), chemometrics bioinformatics, generates massive complex data that need appropriate analyses to extract the biologically meaningful information. Despite various tools available, it still challenge handle large noisy datasets...
Ageing is a dynamic process depending on intrinsic and extrinsic factors its evolution continuum of transitions, involving multifaceted processes at multiple levels. It recognized that frailty sarcopenia are shared by the major age-related diseases thus contributing to elderly morbidity mortality. Pre-frailty still not well understood but it has been associated with global imbalance in several physiological systems, including inflammation, nutrition. Due complex phenotypes underlying...
ABSTRACT Background and Aims Metabolic dysfunction‐associated steatotic liver disease (MASLD) is the most common cause of hepatocellular carcinoma (HCC). In this study, we combine metabolomic gene expression analysis to compare HCC tissues with non‐tumoural (NTT). Methods A non‐targeted strategy LC–MS was applied 52 pairs human MASLD‐HCC NTT separated into 2 groups according fibrosis severity F0F1‐F2 versus F3F4. The genes related de Novo lipogenesis (DNL) fatty acid oxidation (FAO) has been...
Abstract Various spectrometric methods can be used to conduct metabolomics studies. Nuclear magnetic resonance (NMR) or mass spectrometry (MS) coupled with separation methods, such as liquid gas chromatography (LC and GC, respectively), are the most commonly techniques. Once raw data have been obtained, real challenge lies in bioinformatics required conduct: (i) processing (including preprocessing, normalization, quality control); (ii) statistical analysis for comparative studies (such...
The evolution of human health is a continuum transitions, involving multifaceted processes at multiple levels, and there an urgent need for integrative biomarkers that can characterize predict progression toward disease development. objective this work was to perform systems metabolomics approach metabolic syndrome (MetS) A case-control design used within the French occupational GAZEL cohort (n = 112 males: discovery study; n 94: replication/validation study). Our strategy combine untargeted...
Untargeted metabolomics may reveal preventive targets in cognitive aging, including within the food metabolome.
Breast cancer is a major cause of death in occidental women. The role metabolism breast etiology remains unclear. Metabolomics may help to elucidate novel biological pathways and identify new biomarkers predict long before symptoms appear. aim this study was investigate whether untargeted metabolomic signatures from blood draws healthy women could contribute better understand the long-term risk developing cancer.A nested case-control conducted within SU.VI.MAX prospective cohort (13 years...
Oxylipins are potent lipid mediators involved in a variety of physiological processes. Their profiling has the potential to provide wealth information regarding human health and disease is promising technology for translation into clinical applications. However, results generated by independent groups rarely comparable, which increases need implementation internationally agreed upon protocols. We performed an interlaboratory comparison MS-based quantitative analysis total oxylipins. Five...
Abstract There is scarce information on whether inhibition of rumen methanogenesis induces metabolic changes the host ruminant. Understanding these possible important for acceptance methane-reducing practices by producers. In this study we explored in plasma profiles associated with reduction methane emissions. Plasma samples were collected from lactating primiparous Holstein cows fed same diet (Treated, n = 12) or without (Control, 13) an anti-methanogenic feed additive six weeks. Daily...
BackgroundMetabolic syndrome (MetS), a cluster of factors associated with risks developing cardiovascular diseases, is public health concern because its growing prevalence. Considering the combination concomitant components, their development and severity, MetS phenotypes are largely heterogeneous, inducing disparity in diagnosis.MethodsA case/control study was designed within NuAge longitudinal cohort on aging. From 3-year follow-up 123 stable individuals, we present deep phenotyping...
Anti-Tumor Necrosis Factor (TNF) therapies are able to control rheumatoid arthritis (RA) disease activity and limit structural damage. Yet no predictive factor of response anti-TNF has been identified. Metabolomic profile is known vary in different inflammatory rheumatisms so determining it could substantially improve diagnosis and, consequently, prognosis. The aim this study was use mass spectrometry determine whether there variation the metabolome patients treated with any particular...
Diet has been recognized as a modifiable risk factor for breast cancer. Highlighting predictive diet-related biomarkers would be of great public health relevance to identify at-risk subjects. The aim this exploratory study was select metabolites discriminating women at higher cancer using untargeted metabolomics.
This study explored plasma biomarkers and metabolic pathways underlying feed efficiency measured as residual intake ( RFI ) in Charolais heifers. A total of 48 extreme individuals (High-RFI, n = 24; Low-RFI, 24) were selected from a population 142 heifers for classical metabolite hormone quantification metabolomic profiling through untargeted LC-MS. Most efficient (Low-RFI) had greater (P 0.03) concentrations IGF-1 tended to have 0.06) lower back fat depth compared least However, no changes...
Long-term treatment-related toxicities, such as neurologic and metabolic are major issues in breast cancer. We investigated the interest of metabolomic profiling to predict toxicities.
Patient stratification, prediction, prevention and prognosis
Lack of reliable peak detection impedes automated analysis large-scale gas chromatography-mass spectrometry (GC-MS) metabolomics datasets. Performance and outcome individual peak-picking algorithms can differ widely depending on both algorithmic approach parameters, as well data acquisition method. Therefore, comparing contrasting between is difficult. Here we present a workflow for improved picking (WiPP), parameter optimising, multi-algorithm GC-MS metabolomics. WiPP evaluates the quality...
Metabolic syndrome (MetS) is a complex condition encompassing constellation of cardiometabolic abnormalities. Oxylipins are superfamily lipid mediators regulating many functions. Plasma oxylipin signature could provide new clinical tool to enhance the phenotyping MetS pathophysiology. A high-throughput validated mass spectrometry method, allowing for quantitative profiling over 130 oxylipins, was applied identify and validate in two independent nested case/control studies involving 476...