Search

Your search keyword '"Céline Dalle"' showing total 16 results
Start Over Author "Céline Dalle"
16 results on '"Céline Dalle"'

1. Indazole–Quinolone Hybrids as Anti-Virulence Agents against Pseudomonas aeruginosa

Author

Marie Hanot, Marine Duplantier, Céline Dalle, Yani Ren, Sophie Da Nascimento, Jean-Paul Becker, Nicolas Taudon, Elodie Lohou, and Pascal Sonnet

Subjects
antibiotic resistance, Pseudomonas aeruginosa, quorum sensing, anti-virulence strategy, palladocatalyzed cross-coupling reactions, quinolone, Pharmacy and materia medica, RS1-441, Chemistry, QD1-999
Abstract

Antibiotic resistance is a critical public health issue. Among the multi-drug resistant microorganisms in question, Pseudomonas aeruginosa has been designated by the WHO as a priority threat. Its virulence is orchestrated through quorum sensing (QS). This sophisticated communication network relies on the release and perception of autoinducers acting as population density indicators. Therefore, the interest of a quorum silencing pharmacological approach has unfolded to quench bacterial pathogenicity without impairing growth. In this article, we reported the development of a family of indazole–quinolone hybrids as anti-virulence agents. These new biaromatic compounds were designed as potential specific QS quenchers against P. aeruginosa. Our transdisciplinary research methodology included their synthesis using palladocatalyzed cross-coupling reactions, as well as their in silico physicochemical and in vitro biological evaluation. The hit 7-chloro-2-indazolyl-4-quinolone Ie shows a promising anti-biofilm and anti-pyocyanin efficiency (35% inhibition at 25 µM and 35% inhibition at 100 µM, respectively) without an anti-pseudomonal bacteriostatic effect. It also demonstrated a moderate eukaryotic cytotoxicity. Its anti-QS properties have been investigated using metabolomic and molecular modelling studies.

Published
2024
Full Text
View/download PDF

2. Harmonized procedures lead to comparable quantification of total oxylipins across laboratories

Author

Malwina Mainka, Céline Dalle, Mélanie Pétéra, Jessica Dalloux-Chioccioli, Nadja Kampschulte, Annika I. Ostermann, Michael Rothe, Justine Bertrand-Michel, John W. Newman, Cécile Gladine, and Nils Helge Schebb

Subjects
eicosanoids, lipidomics, liquid chromatography, mass spectrometry, quantitation, harmonization, Biochemistry, QD415-436
Abstract

Oxylipins are potent lipid mediators involved in a variety of physiological processes. Their profiling has the potential to provide a wealth of information regarding human health and disease and is a promising technology for translation into clinical applications. However, results generated by independent groups are rarely comparable, which increases the need for the implementation of internationally agreed upon protocols. We performed an interlaboratory comparison for the MS-based quantitative analysis of total oxylipins. Five independent laboratories assessed the technical variability and comparability of 133 oxylipins using a harmonized and standardized protocol, common biological materials (i.e., seven quality control plasmas), standard calibration series, and analytical methods. The quantitative analysis was based on a standard calibration series with isotopically labeled internal standards. Using the standardized protocol, the technical variance was within ±15% for 73% of oxylipins; however, most epoxy fatty acids were identified as critical analytes due to high variabilities in concentrations. The comparability of concentrations determined by the laboratories was examined using consensus value estimates and unsupervised/supervised multivariate analysis (i.e., principal component analysis and partial least squares discriminant analysis). Interlaboratory variability was limited and did not interfere with our ability to distinguish the different plasmas. Moreover, all laboratories were able to identify similar differences between plasmas. In summary, we show that by using a standardized protocol for sample preparation, low technical variability can be achieved. Harmonization of all oxylipin extraction and analysis steps led to reliable, reproducible, and comparable oxylipin concentrations in independent laboratories, allowing the generation of biologically meaningful oxylipin patterns.

Published
2020
Full Text
View/download PDF

3. The Plasma Oxylipin Signature Provides a Deep Phenotyping of Metabolic Syndrome Complementary to the Clinical Criteria

Author

Céline Dalle, Jérémy Tournayre, Malwina Mainka, Alicja Basiak-Rasała, Mélanie Pétéra, Sophie Lefèvre-Arbogast, Jessica Dalloux-Chioccioli, Mélanie Deschasaux-Tanguy, Lucie Lécuyer, Emmanuelle Kesse-Guyot, Léopold K. Fezeu, Serge Hercberg, Pilar Galan, Cécilia Samieri, Katarzyna Zatońska, Philip C. Calder, Mads Fiil Hjorth, Arne Astrup, André Mazur, Justine Bertrand-Michel, Nils Helge Schebb, Andrzej Szuba, Mathilde Touvier, John W. Newman, Cécile Gladine, Unité de Nutrition Humaine (UNH), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), University of Wuppertal, Wrocław Medical University, Plateforme Exploration du Métabolisme (PFEM), Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-MetaboHUB-Clermont, MetaboHUB-MetaboHUB, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), MetaboHUB-MetaToul, MetaboHUB-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut des Maladies Métaboliques et Casdiovasculaires (UPS/Inserm U1297 - I2MC), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Sorbonne Paris Nord-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University Hospital Southampton NHS Foundation Trust, University of Southampton, Novo Nordisk Inc, NOVO NORDISK PARK, University of California [Davis] (UC Davis), University of California (UC), and Western Human Nutrition Research Center

Subjects
metabolic phenotyping, oxylipins, lipid mediators, Catalysis, metabolic syndrome, Inorganic Chemistry, Clinical Research, Genetics, Humans, 2.1 Biological and endogenous factors, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, Physical and Theoretical Chemistry, Aetiology, Molecular Biology, Spectroscopy, Nutrition, Metabolic Syndrome, Chemical Physics, Organic Chemistry, lipidomics, General Medicine, Computer Science Applications, Good Health and Well Being, Cardiovascular Diseases, Case-Control Studies, Other Biological Sciences, Other Chemical Sciences, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
Abstract

International audience; Metabolic syndrome (MetS) is a complex condition encompassing a constellation of cardiometabolic abnormalities. Oxylipins are a superfamily of lipid mediators regulating many cardiometabolic functions. Plasma oxylipin signature could provide a new clinical tool to enhance the phenotyping of MetS pathophysiology. A high-throughput validated mass spectrometry method, allowing for the quantitative profiling of over 130 oxylipins, was applied to identify and validate the oxylipin signature of MetS in two independent nested case/control studies involving 476 participants. We identified an oxylipin signature of MetS (coined OxyScore), including 23 oxylipins and having high performances in classification and replicability (cross-validated AUCROC of 89%, 95% CI: 85–93% and 78%, 95% CI: 72–85% in the Discovery and Replication studies, respectively). Correlation analysis and comparison with a classification model incorporating the MetS criteria showed that the oxylipin signature brings consistent and complementary information to the clinical criteria. Being linked with the regulation of various biological processes, the candidate oxylipins provide an integrative phenotyping of MetS regarding the activation and/or negative feedback regulation of crucial molecular pathways. This may help identify patients at higher risk of cardiometabolic diseases. The oxylipin signature of patients with metabolic syndrome enhances MetS phenotyping and may ultimately help to better stratify the risk of cardiometabolic diseases.

Published
2022
Full Text
View/download PDF

4. Oxylipin profiling identifies a mechanistic signature of metabolic syndrome: results from two independent cohorts

Author

Céline Dalle, Jérémy Tournayre, Malwina Mainka, Alicja Basiak-Rasała, Mélanie Pétéra, Sophie Lefèvre-Arbogast, Jessica Dalloux-Chioccioli, Mélanie Deschasaux-Tanguy, Lucie Lécuyer, Emmanuelle Kesse-Guyot, Léopold Fezeu, Serge Hercberg, Pilar Galan, Cécilia Samieri, Katarzyna Zatońska, Philip C. Calder, Mads Fiil Hjorth, Arne Astrup, André Mazur, Justine Bertrand-Michel, Nils H. Schebb, Andrzej Szuba, Mathilde Touvier, John W. Newman, and Cécile Gladine

Abstract

BackgroundMetabolic syndrome (MetS) is a complex condition encompassing a constellation of cardiometabolic abnormalities. Integratively phenotyping the molecular pathways involved in MetS would help to deeply characterize its pathophysiology and to better stratify the risk of cardiometabolic diseases. Oxylipins are a superfamilly of lipid mediators regulating most biological processes involved in cardiometabolic health.MethodsA high-throughput validated mass spectrometry method allowing the quantitative profiling of over 130 oxylipins was applied to identify and validate the oxylipin signature of MetS in two independent case/control studies involving 476 participants.ResultsWe have uncovered and validated an oxylipin signature of MetS (coined OxyScore) including 23 oxylipins and having high performances of classification and replicability (cross-validated AUCROCof 89%, 95% CI: 85%-93% and 78%, 95% CI: 72%-85% in the Discovery and Replication studies, respectively). Correlation analysis and comparison with a classification model incorporating both the oxylipins and the MetS criteria showed that the oxylipin signature brings consistent and complementary information supporting its clinical utility. Moreover, the OxyScore provides a unique mechanistic signature of MetS regarding the activation and/or negative feedback regulation of crucial molecular pathways that may help identify patients at higher risk of cardiometabolic diseases.ConclusionOxylipin profiling identifies a mechanistic signature of metabolic syndrome that may help to enhance MetS phenotyping and ultimately to better predict the risk of cardiometabolic diseasesviaa better patient stratification.

Published
2022
Full Text
View/download PDF

5. Plasma Metabolomic Signatures Associated with Long-term Breast Cancer Risk in the SU.VI.MAX Prospective Cohort

Author

Mélanie Pétéra, Lucie Lécuyer, Aicha Demidem, Stéphanie Durand, Delphine Centeno, Nathalie Druesne-Pecollo, Emmanuelle Kesse-Guyot, Mélanie Deschasaux, Valentin Partula, Pilar Galan, Adrien Rossary, Bernard Lyan, Marie-Paule Vasson, Bernard Srour, Serge Hercberg, Mathilde Touvier, Marie Lagree, Thomas Ferreira, Estelle Pujos-Guillot, Paule Latino-Martel, Céline Dalle, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Nutrition Humaine - Clermont Auvergne (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA), Plateforme d'Exploration du Métabolisme, MetaboHUB, Institut de Chimie, Université Clermont Auvergne (UCA), Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Plateforme Exploration du Métabolisme (PFEM), MetaboHUB-Clermont, MetaboHUB-MetaboHUB-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), and Université Clermont Auvergne [2017-2020] (UCA [2017-2020])

Subjects
Adult, 0301 basic medicine, Oncology, medicine.medical_specialty, Epidemiology, Breast Neoplasms, [SDV.CAN]Life Sciences [q-bio]/Cancer, Mass Spectrometry, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, Risk Factors, Internal medicine, Biomarkers, Tumor, medicine, Humans, Metabolomics, Prospective Studies, Prospective cohort study, Cell Proliferation, Cause of death, business.industry, Blood Proteins, Environmental exposure, Middle Aged, medicine.disease, 3. Good health, Glutamine, Oxidative Stress, 030104 developmental biology, Case-Control Studies, 030220 oncology & carcinogenesis, Etiology, Female, Energy Metabolism, business, Chromatography, Liquid, Follow-Up Studies, Cohort study, Blood drawing
Abstract

Background: Breast cancer is a major cause of death in occidental women. The role of metabolism in breast cancer etiology remains unclear. Metabolomics may help to elucidate novel biological pathways and identify new biomarkers to predict breast cancer long before symptoms appear. The aim of this study was to investigate whether untargeted metabolomic signatures from blood draws of healthy women could contribute to better understand and predict the long-term risk of developing breast cancer. Methods: A nested case–control study was conducted within the SU.VI.MAX prospective cohort (13 years of follow-up) to analyze baseline plasma samples of 211 incident breast cancer cases and 211 matched controls by LC/MS. Multivariable conditional logistic regression models were computed. Results: A total of 3,565 ions were detected and 1,221 were retained for statistical analysis. A total of 73 ions were associated with breast cancer risk (P < 0.01; FDR ≤ 0.2). Notably, we observed that a lower plasma level of O-succinyl-homoserine (OR = 0.70, 95%CI = [0.55-0.89]) and higher plasma levels of valine/norvaline [1.45 (1.15–1.83)], glutamine/isoglutamine [1.33 (1.07–1.66)], 5-aminovaleric acid [1.46 (1.14–1.87)], phenylalanine [1.43 (1.14–1.78)], tryptophan [1.40 (1.10–1.79)], γ-glutamyl-threonine [1.39 (1.09–1.77)], ATBC [1.41 (1.10–1.79)], and pregnene-triol sulfate [1.38 (1.08–1.77)] were associated with an increased risk of developing breast cancer during follow-up. Conclusion: Several prediagnostic plasmatic metabolites were associated with long-term breast cancer risk and suggested a role of microbiota metabolism and environmental exposure. Impact: After confirmation in other independent cohort studies, these results could help to identify healthy women at higher risk of developing breast cancer in the subsequent decade and to propose a better understanding of the complex mechanisms involved in its etiology.

Published
2019
Full Text
View/download PDF

6. A combined LC-MS and NMR approach to reveal metabolic changes in the hemolymph of honeybees infected by the gut parasite Nosema ceranae

Author

Cyril Vidau, Marie Diogon, Angélique Abila, Bernard Lyan, Hicham El Alaoui, Frédéric Delbac, Céline Dalle, Mounir Traïkia, Cyril Jousse, Institut de Chimie de Clermont-Ferrand (ICCF), SIGMA Clermont (SIGMA Clermont)-Institut de Chimie du CNRS (INC)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), MetaboHUB-Clermont, MetaboHUB, Laboratoire Microorganismes : Génome et Environnement (LMGE), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Institut de l'abeille (ITSAP), Abeilles et Environnement (AE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), UMT Protection des abeilles dans l’environnement (UMT PrADE), Association pour le Developpement de l'Apiculture Provencale (ADAPI)-Institut de l'abeille (ITSAP)-Centre National de la Recherche Scientifique (CNRS)-Terres Inovia-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), ANR-12-BSV3-0020,BEELOSS,Analyse de la synergie parasite/insecticide dans la perte des colonies d'abeilles à l'aide d'approches complémentaires chez Apis mellifera et l'organisme modèle Drosophila melanogaster(2012), MetaboHUB, Plateforme d’Exploration du Métabolisme, Université Clermont Auvergne, Institut Technique et Scientifique de l'Apiculture et de la Pollinisation (ITSAP-Institut de l'Abeille), and UMT PrADE

Subjects
0106 biological sciences, 0301 basic medicine, Magnetic Resonance Spectroscopy, Metabolite, Honeybee, Metabolomic, Biology, 01 natural sciences, 03 medical and health sciences, chemistry.chemical_compound, Metabolomics, Nosema, Tandem Mass Spectrometry, Hemolymph, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], [SDV.BC.IC]Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB], Animals, [SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology, [SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biochemistry [q-bio.BM], Pathogen, Ecology, Evolution, Behavior and Systematics, Chromatography, High Pressure Liquid, Intracellular parasite, [SDV.BA]Life Sciences [q-bio]/Animal biology, Lipid metabolism, Bees, biology.organism_classification, Nosema ceranae, 3. Good health, Spermidine, 010602 entomology, 030104 developmental biology, chemistry, Biochemistry, Stress biomarkers, Host-Pathogen Interactions, Metabolome, [SDV.EE.IEO]Life Sciences [q-bio]/Ecology, environment/Symbiosis
Abstract

International audience; Nosema ceranae is an emerging and invasive gut pathogen in Apis mellifera and is considered as a factor contributing to the decline of honeybee populations. Here, we used a combined LC-MS and NMR approach to reveal the metabolomics changes in the hemolymph of honeybees infected by this obligate intracellular parasite. For metabolic profiling, hemolymph samples were collected from both uninfected and N. ceranae-infected bees at two time points, 2 days and 10 days after the experimental infection of emergent bees. Hemolymph samples were individually analyzed by LC-MS, whereas each NMR spectrum was obtained from a pool of three hemolymphs. Multivariate statistical PLS-DA models clearly showed that the age of bees was the parameter with the strongest effect on the metabolite profiles. Interestingly, a total of 15 biomarkers were accurately identified and were assigned as candidate biomarkers representative of infection alone or combined effect of age and infection. These biomarkers included carbohydrates (α/β glucose, α/β fructose and hexosamine), amino acids (histidine and proline), dipeptides (Glu-Thr, Cys-Cys and γ-Glu-Leu/Ile), metabolites involved in lipid metabolism (choline, glycerophosphocholine and O-phosphorylethanolamine) and a polyamine compound (spermidine). Our study demonstrated that this untargeted metabolomics-based approach may be useful for a better understanding of pathophysiological mechanisms of the honeybee infection by N. ceranae.

Published
2020
Full Text
View/download PDF

7. Diet-Related Metabolomic Signature of Long-Term Breast Cancer Risk Using Penalized Regression: An Exploratory Study in the SU.VI.MAX Cohort

Author

Paule Latino-Martel, Pietro Ferrari, Céline Dalle, Emmanuelle Kesse-Guyot, Mathilde Touvier, Pierre Micheau, Adrien Rossary, Sophie Lefèvre-Arbogast, Pilar Galan, Cécilia Samieri, Mélanie Deschasaux, Delphine Centeno, Lucie Lécuyer, Bernard Lyan, Marie-Paule Vasson, Valentin Partula, Marie Lagree, Bernard Srour, Nada Assi, Serge Hercberg, Mélanie Pétéra, Nathalie Druesne-Pecollo, Vivian Viallon, Aicha Demidem, Stéphanie Durand, Claudine Manach, Estelle Pujos-Guillot, Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Sorbonne Paris Nord-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de Nutrition Humaine (UNH), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Plateforme d'Exploration du Métabolisme, MetaboHUB, Institut de Chimie de Clermont-Ferrand (ICCF), SIGMA Clermont (SIGMA Clermont)-Institut de Chimie du CNRS (INC)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre de Recherche en Cancérologie de Lyon (UNICANCER/CRCL), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Jean Perrin [Clermont-Ferrand] (UNICANCER/CJP), UNICANCER, ANR-11-INBS-0010,METABOHUB,Développement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation(2011), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Nutrition Humaine - Clermont Auvergne (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA), UMR 1219, Centre de Recherche Inserm-Université de Bordeaux, Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Bordeaux, Institut de Chimie, Université Clermont Auvergne (UCA), International Agency for Research on Cancer, Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Plateforme Exploration du Métabolisme (PFEM), MetaboHUB-Clermont, MetaboHUB-MetaboHUB-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), and Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)

Subjects
Adult, 0301 basic medicine, Oncology, medicine.medical_specialty, Epidemiology, Metabolite, education, Breast Neoplasms, [SDV.CAN]Life Sciences [q-bio]/Cancer, Risk Assessment, Mass Spectrometry, LEHA, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Metabolomics, Breast cancer, Risk Factors, Internal medicine, Biomarkers, Tumor, medicine, Humans, Steroid sulfate, Risk factor, Randomized Controlled Trials as Topic, Penalized regression, business.industry, Feeding Behavior, Middle Aged, medicine.disease, 3. Good health, Logistic Models, 030104 developmental biology, Clinical Trials, Phase III as Topic, chemistry, Case-Control Studies, 030220 oncology & carcinogenesis, Piperine, Cohort, Female, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
Abstract

Background: 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 of this exploratory study was to select diet-related metabolites discriminating women at higher risk of breast cancer using untargeted metabolomics. Methods: Baseline plasma samples of 200 incident breast cancer cases and matched controls, from a nested case–control study within the Supplémentation en Vitamines et Minéraux Antioxydants (SU.VI.MAX) cohort, were analyzed by untargeted LC-MS. Diet-related metabolites were identified by partial correlation with dietary exposures, and best predictors of breast cancer risk were then selected by Elastic Net penalized regression. The selection stability was assessed using bootstrap resampling. Results: 595 ions were selected as candidate diet–related metabolites. Fourteen of them were selected by Elastic Net regression as breast cancer risk discriminant ions. A lower level of piperine (a compound from pepper) and higher levels of acetyltributylcitrate (an alternative plasticizer to phthalates), pregnene-triol sulfate (a steroid sulfate), and 2-amino-4-cyano butanoic acid (a metabolite linked to microbiota metabolism) were observed in plasma from women who subsequently developed breast cancer. This metabolomic signature was related to several dietary exposures such as a “Western” dietary pattern and higher alcohol and coffee intakes. Conclusions: Our study suggested a diet-related plasma metabolic signature involving exogenous, steroid metabolites, and microbiota-related compounds associated with long-term breast cancer risk that should be confirmed in large-scale independent studies. Impact: These results could help to identify healthy women at higher risk of breast cancer and improve the understanding of nutrition and health relationship.

Published
2020
Full Text
View/download PDF

8. Untargeted plasma metabolomic profiles associated with overall diet in women from the SU.VI.MAX cohort

Author

Mélanie Deschasaux, Pierre Micheau, Mathilde Touvier, Nathalie Druesne-Pecollo, Adrien Rossary, Pilar Galan, Marie-Paule Vasson, Delphine Centeno, Bernard Srour, Aicha Demidem, Bernard Lyan, Paule Latino-Martel, Valentin Partula, Mélanie Pétéra, Céline Dalle, Lucie Lécuyer, Serge Hercberg, Emmanuelle Kesse-Guyot, Stéphanie Durand, Claudine Manach, Estelle Pujos-Guillot, Marie Lagree, Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Sorbonne Paris Nord-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de Nutrition Humaine (UNH), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de Chimie de Clermont-Ferrand (ICCF), SIGMA Clermont (SIGMA Clermont)-Institut de Chimie du CNRS (INC)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre Jean Perrin [Clermont-Ferrand] (UNICANCER/CJP), UNICANCER, Institut National du Cancer (INCA) France INCa_8085 INCa_11323Federative Institute for Biomedical Research IFRB Paris 13 Region Ile-de-France, Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), and HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
0301 basic medicine, [SDV]Life Sciences [q-bio], Population, Medicine (miscellaneous), 030209 endocrinology & metabolism, Cohort Studies, Decile, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Metabolomics, Vegetables, medicine, Humans, Food science, Carnitine, Dietary patterns, education, 2. Zero hunger, education.field_of_study, 030109 nutrition & dietetics, Nutrition and Dietetics, Overall diet, Mass spectrometry, business.industry, Cholic acid, 24-h dietary records, Plasma levels, Diet, 3. Good health, Cross-Sectional Studies, chemistry, Cohort, Female, Alcohol intake, business, medicine.drug
Abstract

Dietary intakes are reflected in plasma by the presence of hundreds of exogenous metabolites and variations in endogenous metabolites. The exploration of diet-related plasma metabolic profiles could help to better understand the impact of overall diet on health. Our aim was to identify metabolomic signatures reflecting overall diet in women from the French general population. This cross-sectional study included 160 women in the SU.VI.MAX cohort with detailed dietary data (≥ 10 24-h dietary records) selected according to their level of adherence to the French dietary recommendations, represented by the validated score mPNNS-GS; 80 women from the 10th decile of the score were matched with 80 women from the 1st decile. Plasma metabolomic profiles were acquired using untargeted UPLC-QToF mass spectrometry analysis. The associations between metabolomic profiles and the mPNNG-GS, its components and Principal Component Analyses-derived dietary patterns were investigated using multivariable conditional logistic regression models and partial correlations. Adherence to the dietary recommendations was positively associated with 3-indolepropionic acid and pipecolic acid (also positively associated with fruit and vegetable intake and a healthy diet)—2 metabolites linked to microbiota and inversely associated with lysophosphatidylcholine (LysoPC(17:1)), acylcarnitine C9:1 (also inversely associated with a healthy diet), acylcarnitine C11:1 and 2-deoxy-D-glucose. Increased plasma levels of piperine and Dihydro4mercapto-3(2H) furanone were observed in women who consumed a Western diet and a healthy diet, respectively. Ethyl-β-D-glucopyranoside was positively associated with alcohol intake. Plasma levels of LysoPC(17:1), cholic acid, phenylalanine-phenylalanine and phenylalanine and carnitine C9:1 decreased with the consumption of vegetable added fat, sweetened food, milk and dairy products and fruit and vegetable intakes, respectively. This study highlighted several metabolites from both host and microbial metabolism reflecting the long-term impact of the overall diet. SU.VI.MAX, clinicaltrials.gov NCT00272428. Registered 3 January 2006, https://clinicaltrials.gov/show/NCT00272428

Published
2020
Full Text
View/download PDF

9. Stability of oxylipins during plasma generation and long-term storage

Author

Laura Kutzner, Laura-Fabienne Froehlich, Nils Helge Schebb, Katharina M. Rund, Malwina Mainka, Elisabeth Koch, Céline Dalle, Justine Bertrand-Michel, Cécile Gladine, Annika I. Ostermann, University of Wuppertal, Unité de Nutrition Humaine (UNH), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Federal Ministry of Education & Research (BMBF) 01EA1702, and Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Chromatography, Blood sampling, biology, Chemistry, 010401 analytical chemistry, Lipid mediators, 02 engineering and technology, Lipid signaling, Oxylipin, 021001 nanoscience & nanotechnology, 01 natural sciences, 0104 chemical sciences, Analytical Chemistry, Lipoxygenase, chemistry.chemical_compound, Lipidomics, biology.protein, Eicosanoids, [CHIM]Chemical Sciences, Butylated hydroxytoluene, Sample preparation, Centrifugation, LC-MS/MS, 0210 nano-technology
Abstract

International audience; Oxidized unsaturated fatty acids - i.e. eicosanoids and other oxylipins - are lipid mediators involved in the regulation of numerous physiological functions such as inflammation, blood coagulation, vascular tone and endothelial permeability. They have raised strong interest in clinical lipidomics in order to understand their role in health and diseases and their use as biomarkers. However, before the clinical translation, it is crucial to validate the analytical reliability of oxylipins. This notably requires to assess the putative artificial formation or degradation of oxylipins by (unsuitable) blood handling during plasma generation, storage and sample preparation. Using a liquid chromatography-mass spectrometry method covering 133 oxylipins we comprehensively analyzed the total (free + esterified) oxylipin profile in plasma and investigated the influence of i) addition of additives during sample preparation, ii) different storage times and temperatures during the transitory stage of plasma generation and iii) long-term storage of plasma samples at -80 degrees C. Addition of radical scavenger butylated hydroxytoluene reduced the apparent concentrations of hydroxy-PUFA and thus should be added to the samples at the beginning of sample preparation. The concentrations of all oxylipin classes remained stable (within analytical variance of 20%) during the transitory stage of plasma generation up to 24 h at 4 degrees C or 4 h at 20 degrees C before centrifugation of EDTA-whole blood and up to 5 days at - 20 degrees C after plasma separation. The variations in oxylipin concentrations did not correlate with storage time, storage temperature or stage of plasma generation. A significant increase of potentially lipoxygenase derived hydroxy-PUFA compared to immediate processing was only detected when samples were stored for longer times before centrifugation, plasma separation as well as freezing of plasma revealing residual enzymatic activity. Autoxidative rather than enzymatic processes led to a slightly increased concentration of 9-HETE when plasma samples were stored at - 80 degrees C for 15 months. Overall, we demonstrate that total plasma oxylipins are robust regarding delays during plasma generation and long-term storage at -80 degrees C supporting the application of oxylipin profiling in clinical research.

Published
2019
Full Text
View/download PDF

10. Muscle loss associated changes of oxylipin signatures during biological aging: an exploratory study from the PROOF cohort

Author

Alice Decourt, Cécile Coudy-Gandilhon, Annika I. Ostermann, Thade Konrad, Cécile Gladine, Daniel Béchet, Nils Helge Schebb, Céline Dalle, Léonard Féasson, Frédéric Roche, André Mazur, Jean-Claude Barthélémy, Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Faculty of Mathematics and Natural Sciences, University of Wuppertal, University of Veterinary Medicine Hanover, Service de Physiologie Clinique et de l'Exercice, Faculté de Médecine Jacques Lisfranc, PRES Université de Lyon, Université Jean Monnet (Saint-Etienne), Université de Lyon, Service de Neurologie, Centre Hospitalier du Pays d'Aix, Laboratoire Interuniversitaire de Biologie de la Motricité (LIBM ), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), German Resaerch Foundation SCHE 1801Fondation Caisse d'Epargne Rhone-Alpes (CERA) 30French government IDEX-ISITE initiative 16-IDEX-0001 CAP 20-25French Ministry of Health, ProdInra, Archive Ouverte, Unité de Nutrition Humaine - Clermont Auvergne (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA), Institute for Food Toxicology, University of Veterinary Medicine, Chair of Food Chemistry, Faculty of Mathematics and Natural Sciences, service de chirurgie cardiaque, Centre Hospitalier Universitaire Gabriel Montpied, Service de Physiologie Clinique et de l'Exercice, CHU Nord, Faculté de Médecine Jacques Lisfranc, Unité de Myologie, Centre Référent Maladies Neuromusculaires Rares Rhône-Alpes, Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), Institute for Food Toxicology and Analytical Chemistry, University of Veterinary Medicine Hannover, Unité de Myologie, Centre Hospitalier Universitaire de Saint-Etienne, Service de Physiologie Clinique et de l'Exercice [CHU de Saint-Etienne], Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E)-Université Jean Monnet - Saint-Étienne (UJM), Université Jean Monnet - Saint-Étienne (UJM), Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Université Catholique de Louvain (UCLouvain). BEL., CHU Gabriel Montpied [Clermont-Ferrand], CHU Clermont-Ferrand-CHU Clermont-Ferrand, Institut Multidisciplinaire de Biochimie des Lipides (IMBL). FRA., Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), ANR-16-IDEX-0001,CAP 20-25,CAP 20-25(2016), Unité de Nutrition Humaine - Clermont Auvergne ( UNH ), Université Clermont Auvergne ( UCA ) -Institut national de la recherche agronomique [Auvergne/Rhône-Alpes] ( INRA Auvergne/Rhône-Alpes ), and Centre Hospitalier Universitaire de Saint-Etienne ( CHU de Saint-Etienne )

Subjects
0301 basic medicine, Male, Aging, Sarcopenia, [CHIM.ANAL] Chemical Sciences/Analytical chemistry, [ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition, Lipid mediators, Inflammation, medicine.disease_cause, Bioinformatics, analyse métabolomique, 03 medical and health sciences, 0302 clinical medicine, Metabolomics, Absorptiometry, Photon, [CHIM.ANAL]Chemical Sciences/Analytical chemistry, medicine, Humans, Longitudinal Studies, Oxylipins, Prospective Studies, perte de muscle, Aged, 80 and over, business.industry, Lipid signaling, vieillissement, Oxylipin, medicine.disease, [SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, 030104 developmental biology, oxylipine, Ageing, ageing, Cohort, Eicosanoids, Female, Geriatrics and Gerontology, medicine.symptom, business, étude de cohorte, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, 030217 neurology & neurosurgery, Oxidative stress, Biomarkers
Abstract

L’Unité de Nutrition Humaine (UNH - Clermont-Ferrand) organise cette année avec l’aide du laboratoire CarMeN (Lyon) la 18ème éditionL’Unité de Nutrition Humaine (UNH - Clermont-Ferrand) organise cette année avec l’aide du laboratoire CarMeN (Lyon) la 18ème édition; Characterizations of the multiple mechanisms determining biological aging are required tobetter understand the etiology and identify early biomarkers of sarcopenia. Oxylipins are a largefamily of signaling lipids involved in the regulation of various biological processes that becomedysregulated during aging.To investigate whether comprehensive oxylipin profiling could provide an integrated and finecharacterisation of the early phases of sarcopenia, we performed a quantitative targetedmetabolomics of oxylipins in plasma of 81-year old subjects from the PROOF cohort withdecreased (n=12), stable (n=16) or increased appendicular muscle mass (n=14).Multivariate and univariate analyses identified significant and concordant changes of oxylipinprofiles according to the muscle status. Of note, 90% of the most discriminant oxylipins werederived from EPA and DHA and were increased in the sarcopenic subjects. The oxylipinssignatures of sarcopenic subjects revealed subtle activation of inflammatory resolutionpathways, coagulation processes and oxidative stress and the inhibition of angiogenesis. Heatmaps highlighted relationships between oxylipins and the cardiometabolic health parameterswhich were mainly lost in sarcopenic subjects.This exploratory study supports that targeted metabolomics of oxylipins could provide relevantand subtle characterization of early disturbances associated with muscle-loss during aging.

Published
2019
Full Text
View/download PDF

11. Signatures métabolomiques associées à des profils alimentaires spécifiques dans la cohorte su.vi.max

Author

Pierre Micheau, Valentin Partula, Estelle Pujos-Guillot, Bernard Srour, Mélanie Deschasaux, Marie-Paule Vasson, S. Hercberg, Adrien Rossary, Mélanie Pétéra, Pilar Galan, Aicha Demidem, Claudine Manach, L. Lécuyer, Delphine Centeno, T. Mathilde, Bernard Lyan, Paule Latino-Martel, Céline Dalle, Emmanuelle Kesse-Guyot, Christine Morand, Stéphanie Durand, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Département de Santé Publique, Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), CHU Clermont-Ferrand, Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Paris 13 (UP13)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), département de santé publique, Unité de Recherche en Epidémiologie Nutritionnelle (UREN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Sorbonne Paris Cité (USPC)-Université Paris 13 (UP13)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Institut National de la Recherche Agronomique (INRA), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC), Unité de Nutrition Humaine - Clermont Auvergne (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA), Institut National de la Recherche Agronomique (INRA)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Clermont Université, Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC), Hôpital Avicenne, Assistance Publique - Hôpitaux de Paris (AP-HP), Clermont Université-Université d'Auvergne - Clermont-Ferrand I (UdA)-Institut National de la Recherche Agronomique (INRA), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Lécuyer, Lucie, ProdInra, Migration, Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), and HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
2. Zero hunger, 0303 health sciences, Nutrition and Dietetics, 030309 nutrition & dietetics, Endocrinology, Diabetes and Metabolism, [SDV]Life Sciences [q-bio], 030209 endocrinology & metabolism, signatures métabolomiques, [SDV] Life Sciences [q-bio], 03 medical and health sciences, 0302 clinical medicine, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Internal Medicine, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, ComputingMilieux_MISCELLANEOUS, su.vi.max
Abstract

Discipline Epidemiologie. Introduction et but de l’etude Notre alimentation se traduit au niveau plasmatique par la presence de divers metabolites exogenes et endogenes. L’identification de profils de metabolites plasmatiques lies a la nutrition permettrait d’ameliorer les mesures d’exposition alimentaire en epidemiologie nutritionnelle et de mieux comprendre les effets biologiques de certains composants alimentaires et notamment ceux de la qualite de l’alimentation sur la sante. Notre objectif etait donc de determiner les associations entre differents profils alimentaires et les profils de metabolites plasmatiques. Materiel et methodes Cette etude incluait 160 femmes de la cohorte SU.VI.MAX (≥10 R24). Ces femmes ont ete selectionnees selon leur niveau d’adequation aux recommandations du Programme National Nutrition Sante ; 80 femmes au sein du 10e decile de la distribution du score PNNS-GS, appariees avec 80 femmes du 1er decile. Les echantillons de plasma recoltes a l’inclusion, ont ete analyses en spectrometrie de masse non ciblee. Les donnees ont ete analysees avec des methodes de regressions logistiques conditionnelles (1e vs 10e decile du score PNNS-GS) et des analyses de correlations avec les composantes du score PNNS-GS et avec des patterns issus d’une Analyse en Composante Principale (ACP) realisee sur 29 groupes d’aliments. Resultats et analyse statistique Au total, 30 ions etaient associes aux donnees nutritionnelles, l’identification de ces ions est en cours. 10 ions etaient associes au score PNNS-GS (FDR |0,2|) ; 4 associes negativement au profil alimentaire « Western », dont l’acide pipecolique ; 5 associes positivement au profil alimentaire « Healthy », dont l’acide pipecolique et 1 associe negativement a ce dernier profil ; 1 associe negativement au profil alimentaire « Produits sucres ». L’acide pipecolique etait egalement associe (FDR |0,2|) a la composante « fruits et legumes » du score PNNS-GS. Conclusion Cette etude met en evidence des associations entre profils metabolomiques et profils alimentaires obtenus par deux methodes complementaires. Les premiers resultats permettent de reveler des signatures metabolomiques liees a des profils alimentaires differents. L’identification de ces signatures pourrait contribuer a terme a l’amelioration de l’evaluation des expositions nutritionnelles dans les etudes epidemiologiques et a une meilleure comprehension des mecanismes impliques dans les relations nutrition-sante.

Published
2018
Full Text
View/download PDF

12. Metabolomic study of the response to cold shock in a strain of Pseudomonas syringae isolated from cloud water

Author

Cédric Mendes, Isabelle Canet, Martine Sancelme, Pierre Amato, Anne-Marie Delort, Cyril Jousse, Marie Lagree, Mounir Traïkia, Céline Dalle, Bernard Lyan, Institut de Chimie de Clermont-Ferrand (ICCF), SIGMA Clermont (SIGMA Clermont)-Institut de Chimie du CNRS (INC)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Plateforme d'Exploration du Métabolisme, MetaboHUB, Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Plateforme d’exploration du métabolisme, Institut National de la Recherche Agronomique (INRA), Plateforme Exploration du Métabolisme (PFEM), MetaboHUB-Clermont, MetaboHUB-MetaboHUB-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Institut de Chimie de Clermont-Ferrand - Clermont Auvergne (ICCF), Sigma CLERMONT (Sigma CLERMONT)-Université Clermont Auvergne (UCA)-Centre National de la Recherche Scientifique (CNRS), Unité de Nutrition Humaine - Clermont Auvergne (UNH), and Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA)

Subjects
0301 basic medicine, Magnetic Resonance Spectroscopy, 010504 meteorology & atmospheric sciences, Endocrinology, Diabetes and Metabolism, influence de la température, Clinical Biochemistry, mass spectrum analysis, Pseudomonas syringae, 01 natural sciences, Biochemistry, Antioxidants, Mass Spectrometry, chemistry.chemical_compound, Cryoprotective Agents, spectrométrie de masse, oxidative stress, cloud, activité microbienne, bactérie, biology, Strain (chemistry), Pseudomonas, ROS, bacterium, Adaptation, Physiological, peptide, Cold Temperature, eau de nuage, Water Microbiology, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, microbial activity, analyse métabolomique, 03 medical and health sciences, Alkaloids, Metabolomics, [CHIM.ANAL]Chemical Sciences/Analytical chemistry, Metabolome, 0105 earth and related environmental sciences, Cold-Shock Response, stress oxydatif, Metabolism, MS, biology.organism_classification, Trehalose, [SDE.ES]Environmental Sciences/Environmental and Society, NMR, 030104 developmental biology, chemistry, peptides, cold stress, Database Management Systems, Energy Metabolism, Bacteria
Abstract

This research has been supported by the ANR French program MetaboHUB. We would like to thank Mélanie Pétéra for her valuable technical assistance; AbstractIntroduction: Active microorganisms have been recently discovered in clouds, thus demonstrating the capacity of microorganisms to exist in harsh environments, including exposure to UV and oxidants, osmotic and cold shocks, etc. It is important to understand how microorganisms respond to and survive such stresses at the metabolic level.Objectives: The objective of this work is to assess metabolome modulation in a strain of Pseudomonas syringae isolated from cloud water and facing temperature downshift from 17 to 5 °C by identifying key molecules and pathways of the response/adaptation to cold shock.Methods: Bacterial extracts from suspensions of cells grown at 17 °C and further incubated in microcosms at 5 and 17 °C to mimic cloud conditions were analysed by combining LC-MS and NMR; the results were evaluated in comparison to similar suspensions kept at constant temperature. The differences in the metabolome profiles were deciphered using multivariate statistics (PLS-DA).Results: Key cold shock biomarkers were observed, including cryoprotectants (trehalose, glucose, glycerol, carnitine, glutamate), antioxidants (glutathione and carnitine) and their precursors, alkaloids (bellendine and slaframine) and metabolites involved in energy metabolism (ATP, carbohydrates). Furthermore, new short peptides (nine dipeptides and a tetrapeptide) were found that have no known function.Conclusions: This study shows that in response to cold temperatures, Pseudomonas syringae PDD-32b-74 demonstrates numerous metabolism modifications to counteract the impacts of low temperatures.

Published
2018
Full Text
View/download PDF

13. Signatures métabolomiques par spectrométrie de masse et risque de cancer du sein

Author

Aicha Demidem, Mathilde Touvier, Emmanuelle Kesse-Guyot, Lucie Lécuyer, Pilar Galan, Bernard Lyan, Thomas Ferreira, Claudine Manach, Marie Lagree, Paule Latino-Martel, Valentin Partula, Céline Dalle, Mélanie Deschasaux, Stéphanie Durand, Bernard Srour, Estelle Pujos-Guillot, Marie-Paule Vasson, Mélanie Pétéra, S. Hercberg, Adrien Rossary, Delphine Centeno, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Centre de Recherche en Nutrition Humaine, Département de Santé Publique, Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), CHU Clermont-Ferrand, Fondation ARC., Réseau National Alimentation Cancer Recherche (réseau NACRe). FRA., ProdInra, Archive Ouverte, département de santé publique, Centre Jean Perrin [Clermont-Ferrand] (UNICANCER/CJP), UNICANCER, Societe Francaise de Nutrition Enterale et Parenterale (SFNEP). et Societe Francaise de Nutrition (SFN), FRA., Unité de Nutrition Humaine - Clermont Auvergne (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA), Hôpital Avicenne, Assistance Publique - Hôpitaux de Paris (AP-HP), Centre Jean Perrin - Centre Régional de Lutte contre le Cancer d'Auvergne, and Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)

Subjects
0303 health sciences, Nutrition and Dietetics, [CHIM.ANAL] Chemical Sciences/Analytical chemistry, 030309 nutrition & dietetics, Endocrinology, Diabetes and Metabolism, cancer du sein, mass spectrum analysis, étude prospective, 030209 endocrinology & metabolism, [SDV.CAN]Life Sciences [q-bio]/Cancer, mammary malignant tumor, 3. Good health, 03 medical and health sciences, [SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, 0302 clinical medicine, [CHIM.ANAL]Chemical Sciences/Analytical chemistry, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, spectrométrie de masse, Internal Medicine, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, métabolomique, plasma
Abstract

Remerciements : Institut National du Cancer (INCa) / Institut Fédératif de Recherche biomédicale (IFRB) / Canceropôle Ilede- France / Réseau NACReRemerciements : Institut National du Cancer (INCa) / Institut Fédératif de Recherche biomédicale (IFRB) / Canceropôle Ilede-France / Réseau NACRe; Introduction et but de l’étude : La métabolomique permet d’étudier l’ensemble des métabolites présents dans unbiofluide. Cette étude basée sur une analyse non ciblée en spectrométrie de masse a pour but d’étudier si des profils métabolomiques établis à partir d’un prélèvement sanguin sur des femmes à priori en bonne santé, pourrait contribuer à prédire le risque à long terme de développer le cancer du sein et d’améliorer la compréhension de son étiologie.Matériel et méthodes : Un cas-témoin niché prospectif a été mené dans la cohorte SU.VI.MAX, incluant 211 cas de cancer du sein et 211 témoins appariés. Les profils métabolomiques ont été établis sur des échantillons de plasma prélevés à l’inclusion, avant l’apparition du cancer, grâce à une analyse non ciblée par spectrométrie de masse (LC-MS). Des modèles de régressions logistiques conditionnelles multivariées ont été calculés sur chaque ion présélectionné grâce à une ANOVA et sur les combinaisons de potentiels biomarqueurs issus d’une Analyse en Composante Principale. Une correction de test multiple de type FDR (False Discovery Rate) a été appliquée.Résultats et Analyse statistique : Plusieurs métabolites étaient associés au risque de cancer du sein. La finalisation de l’identification des métabolites discriminants est en cours. Au vu des résultats actuels, les femmes caractérisées par un niveau plasmatique plus élevé de valine (OR=1,45 [1,15-1,83]; p= 0.009), de phénylalanine (OR=1,43 [1,14-1,78]; p=0,009), de tryptophane (OR=1,4 [1,1-1,79]; p=0,01), et de glutamine (OR=1,33 [1,07-1,66]; p=0,01) et d’un niveau plus bas d’OSuccinyl-L-homoserine (OR=0,7 [0,55-0,89]; p=0,01) auraient un risque plus important de développer le cancer du sein dans la décennie qui suit.Conclusion : Cette étude suggère plusieurs associations entre profils métabolomiques à l’inclusion et risque à long terme de développer le cancer du sein et confirme certains résultats que nous avons mis en évidence par une analyse RMN. Cette étude pourrait aider à améliorer l’identification des femmes à risque de développer un cancer du sein, bien avant l’apparition des symptômes. L’étude des biomarqueurs nutritionnels associés au risque de développer cette pathologie (actuellement en cours) pourra permettre de préciser le rôle de la nutrition (facteur modifiable) dans l’étiologie du cancer du sein et d’améliorer les stratégies préventives.

Published
2017

14. New metabolites of dietary terpenoids identified using in silico prediction of metabolism and high-resolution mass spectrometry

Author

Yannick Djoumbou Feunang, Céline Dalle, Mélanie Pétéra, Jarlei Fiamoncini, Stéphanie Durand, Claudine Manach, and David S. Wishart

Subjects
Terpene, chemistry.chemical_compound, Limonene, chemistry, Biochemistry, Myrcene, Perillyl alcohol, Pharmacometabolomics, Metabolome, Geraniol, Terpenoid
Abstract

Despite being well absorbed and displaying a range of biological properties, dietary terpenoids have been little studied. Better knowledge about their metabolism will help understanding the health effects of plant foods and provide information on the food metabolome. As part of the FoodBAll project we are investigating the metabolism of terpenes, identifying metabolites and biotransformations involved in their metabolism. PhytoHub (database that compiles all known metabolites of dietary phytochemicals, including terpenes) and Nexus Meteor (in silico prediction of metabolism), were used to identify biotransformations involved in the metabolism of dietary terpenoids. Selected biotransformations were used to predict the metabolism of camphene, camphor, carvacrol, carvone, caryophyllene, 1,4-cineole, 1,8-cineole, citral, citronellal, cuminaldehyde, p-cymene, fenchone, geraniol, limonene, linalool, menthol, myrcene, nootkatone, perillyl alcohol, pinene, pulegone, terpinen-4-ol and thymol. The metabolism prediction tool “BioTransformer” that is under development at Dr. Wishart’s lab was also used to generate predicted metabolites of the mentioned compounds. The urine of Wistar rats was collected before and after 5 days of the exposure to the dietary monoterpenes (given in the dose of 0.05% of diet). Untargeted metabolomics analysis was performed in urine using high-resolution mass spectrometry (UPLC-QToF). We identified twenty-two enzymatic reactions involved in the synthesis of terpenoid metabolites described in the literature. In average, 10 metabolites per compound were identified in rat urine, including new and known ones. Identification of metabolites was based on monoisotopic mass and formula match, presence of adducts and specific mass losses indicative of glucuronidation, sulphation and conjugation to amino acids. Validation of identification is being done using MS/MS experiments. The combination of in silico predictions and in vivo experiment allowed the identification of known and new metabolites of different dietary terpenoids. Predicted metabolites of terpenes will be added in databases such as PhytoHub to complement the database of known metabolites. The validations of the metabolism predictions are helping the development of BioTransformer. Funding: Grant from the Agence Nationale de la Recherche (#ANR-14-HDHL-0002-02) for FoodBAll project (JPI HDHL). JF is an AgreenSkills fellow.

Published
2017
Full Text
View/download PDF

15. Identification de biomarqueurs nutritionnels par une approche métabolomique en spectrométrie de masse

Author

Pilar Galan, Mélanie Deschasaux, Pierre Micheau, L. Lécuyer, Mathilde Touvier, Claudine Manach, Delphine Centeno, Valentin Partula, Mélanie Pétéra, Bernard Srour, Estelle Pujos-Guillot, Bernard Lyan, Serge Hercberg, Paule Latino-Martel, Emmanuelle Kesse-Guyot, Christine Morand, Céline Dalle, Stéphanie Durand, Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Département de Santé Publique, Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Unité de Recherche en Epidémiologie Nutritionnelle (UREN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Sorbonne Paris Cité (USPC)-Université Paris 13 (UP13)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Institut National de la Recherche Agronomique (INRA), Unité de Nutrition Humaine - Clermont Auvergne (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
2. Zero hunger, 0303 health sciences, étude épidémiologique, Nutrition and Dietetics, 030309 nutrition & dietetics, Endocrinology, Diabetes and Metabolism, Chimie analytique, 030209 endocrinology & metabolism, rôle nutritionnel, 3. Good health, 03 medical and health sciences, Santé publique et épidémiologie, 0302 clinical medicine, [CHIM.ANAL]Chemical Sciences/Analytical chemistry, Alimentation et Nutrition, Internal Medicine, Food and Nutrition, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, Analytical chemistry, biomarqueur, ComputingMilieux_MISCELLANEOUS, métabolomique
Abstract

International audience; Introduction et but de l’étude: Ce travail s’inscrit dans le cadre du projet Metabo-KS (2015-2017, INCa, PI : M Touvier), qui vise à: découvrir les biomarqueurs prédictifs du cancer du sein, de la qualité du régime alimentaire et d’aliments spécifiques en utilisant la métabolomique, puis à relier ces biomarqueurs pour améliorer la compréhension du rôle de la nutrition sur le risque de cancer du sein. Le présent travail porte sur la découverte de biomarqueurs plasmatiques des apports alimentaires usuels par l'exploration du métabolome alimentaire (« food metabolome ») par spectrométrie de masse non ciblée. Matériel et méthodes: Les femmes de la cohorte SU.VI.MAX ayant rempli au moins dix enregistrements alimentaires de 24h ont été stratifiées en déciles selon leur niveau d'adhésion aux recommandations du Programme français National Nutrition Santé. Au total, 80 femmes ont été sélectionnées aléatoirement dans le 10e décile de la distribution PNNS-GS et ont été appariées sur 80 femmes du 1er décile. Les échantillons de plasma prélevés à l’inclusion ont été analysés en spectrométrie de masse non ciblée en utilisant UPLC-ESI-QToF. 1575 et 601 signaux ont été détectés (mode positif et négatif). Les profils métabolomiques ont été comparés en utilisant des méthodes statistiques univariées et multivariées pour sélectionner les ions associés à la consommation de 58 aliments / groupes d’aliments. Résultats et Analyse statistique : 84 et 30 ions (mode positif et négatif) étaient associés à des aliments spécifiques / des groupes alimentaires (r> 0,3, valeur p avec BH

Published
2017
Full Text
View/download PDF

16. MS-based Lipidomic Profiling of Oxylipins Supports Mild Inflammation in Dysmetabolic Iron Overload Syndrome Affected Patients (P08-046-19)

Author

André Mazur, Clément Lahaye, Cécile Gladine, Céline Dalle, Marc Ruivard, and Rémy Bosviel

Subjects
Univariate analysis, medicine.medical_specialty, Nutrition and Dietetics, business.industry, Insulin, medicine.medical_treatment, Medicine (miscellaneous), Inflammation, Oxylipin, medicine.disease_cause, medicine.disease, Distal intestinal obstruction syndrome, chemistry.chemical_compound, Endocrinology, chemistry, Internal medicine, Energy and Macronutrient Metabolism, Medicine, Arachidonic acid, medicine.symptom, Metabolic syndrome, business, Oxidative stress, Food Science
Abstract

OBJECTIVES: Insulin resistance-associated hepatic iron overload, referred as dysmetabolic iron overload syndrome (DIOS) associates a mild increase of both liver and body iron stores and various components of the metabolic syndrome (MetS). DIOS occurrence is frequent and concerns up to 20% of patients with MetS. The causes and clinical relevance of DIOS are still misunderstood. Oxylipins refer to a large family of signaling lipids notably involved in the regulation of inflammation. We hypothesized that iron overload in DIOS could be associated with an altered oxylipin profile reflecting the dysregulation of inflammatory and oxidative stress status. METHODS: This case-control study involved 20 subjects with DIOS (DIOS), 20 subjects with metabolic syndrome without iron overload (MetS) and 20 healthy control subjects (Healthy). Oxylipin profiling was performed in plasma of each participant using mass spectrometry (MS)-based lipidomic profiling. RESULTS: Univariate analysis identified eleven oxylipins significantly higher in the DIOS group in comparison with MetS and healthy subjects. These include (i) prostaglandin D2 which is produced from arachidonic acid (AA) via the cylcooxygenase action, (ii) 8-hydroxy fatty acids including 5-HETE and 15-HETE, well known mediators of inflammation derived from AA via the lipooxygenase pathway, and (iii) two oxylipins of the cytochrome P450 pathways, namely 14,15-EET and 5,6-DiHETE. Of notes, PGD2 as well as 5- and 15-HETE are mediators of inflammation. Multivariate analysis including hierarchical cluster analysis and PCA did not discriminate subjects from the different groups. CONCLUSIONS: Iron overload in DIOS was associated with moderate alterations of the oxylipin profile suggesting a mild inflammation, but larger sample size would be necessary to confirm results from this pilot study. FUNDING SOURCES: This study was funded by the University Hospital of Clermont-Ferrand and by the French Society of Internal Medicine.

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results