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Mesnier A, Champion S, Louis L, Sauzet C, May P, Portugal H, Benbrahim K, Abraldes J, Alessi MC, Amiot-Carlin MJ, Peiretti F, Piccerelle P, Nalbone G, Villard PH. The Transcriptional Effects of PCB118 and PCB153 on the Liver, Adipose Tissue, Muscle and Colon of Mice: Highlighting of Glut4 and Lipin1 as Main Target Genes for PCB Induced Metabolic Disorders. PLoS One 2015; 10:e0128847. [PMID: 26086818 PMCID: PMC4473719 DOI: 10.1371/journal.pone.0128847] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Accepted: 04/30/2015] [Indexed: 12/21/2022] Open
Abstract
Epidemiological studies have associated environmental exposure to polychlorinated biphenyls (PCBs) with an increased risk of type 2 diabetes; however, little is known about the underlying mechanisms involved in the metabolic side-effects of PCB. Our study evaluated the transcriptional effects of a subchronic exposure (gavage at Day 0 and Day 15 with 10 or 100 μmol/Kg bw) to PCB118 (dioxin-like PCB), PCB153 (non-dioxin-like PCB), or an equimolar mixture of PCB118 and PCB153 on various tissues (liver, visceral adipose tissue, muscle, and colon) in mice. Our results showed that a short-term exposure to PCB118 and/or PCB153 enhanced circulating triglyceride levels but did not affect glycemia. Among the studied tissues, we did not observe any modification of the expression of inflammation-related genes, such as cytokines or chemokines. The main transcriptional effects were observed in visceral adipose and liver tissues. We found a downregulation of lipin1 and glut4 expression in these two target organs. In adipose tissue, we also showed a downregulation of Agpat2, Slc25a1, and Fasn. All of these genes are involved in lipid metabolism and insulin resistance. In muscles, we observed an induction of CnR1 and Foxo3 expression, which may be partly involved in PCB metabolic effects. In summary, our results suggest that lipin1 and glut4, notably in adipose tissue, are the main targeted genes in PCB-induced metabolic disorders, however, further studies are required to fully elucidate the mechanisms involved.
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Affiliation(s)
- Aurélia Mesnier
- IMBE (Institut Méditerranéen de Biodiversité et d'Ecologie Marine et Continentale), UMR CNRS 7263, IRD 237 Aix-Marseille Université Avignon Université, Campus Timone, Faculté de Pharmacie, 27 Boulevard Jean Moulin, F-13385, Marseille cedex 05, France
| | - Serge Champion
- IMBE (Institut Méditerranéen de Biodiversité et d'Ecologie Marine et Continentale), UMR CNRS 7263, IRD 237 Aix-Marseille Université Avignon Université, Campus Timone, Faculté de Pharmacie, 27 Boulevard Jean Moulin, F-13385, Marseille cedex 05, France
| | - Laurence Louis
- UMR S 910 Génétique Médicale et Génomique Fonctionnelle, Campus Timone, Faculté de Médecine, 27 Boulevard Jean Moulin, F-13385, Marseille cedex 05, France
| | - Christophe Sauzet
- IMBE (Institut Méditerranéen de Biodiversité et d'Ecologie Marine et Continentale), UMR CNRS 7263, IRD 237 Aix-Marseille Université Avignon Université, Campus Timone, Faculté de Pharmacie, 27 Boulevard Jean Moulin, F-13385, Marseille cedex 05, France
| | - Phealay May
- IMBE (Institut Méditerranéen de Biodiversité et d'Ecologie Marine et Continentale), UMR CNRS 7263, IRD 237 Aix-Marseille Université Avignon Université, Campus Timone, Faculté de Pharmacie, 27 Boulevard Jean Moulin, F-13385, Marseille cedex 05, France
| | - Henri Portugal
- UMR INSERM 1062, INRA 1260, Nutrition, Obésité et Risque Thrombotique (NORT), Aix-Marseille Université Campus Timone, Faculté de Médecine, 27 Boulevard Jean Moulin, F-13385, Marseille cedex 05, France
| | - Karim Benbrahim
- IMBE (Institut Méditerranéen de Biodiversité et d'Ecologie Marine et Continentale), UMR CNRS 7263, IRD 237 Aix-Marseille Université Avignon Université, Campus Timone, Faculté de Pharmacie, 27 Boulevard Jean Moulin, F-13385, Marseille cedex 05, France
| | - Joelle Abraldes
- IMBE (Institut Méditerranéen de Biodiversité et d'Ecologie Marine et Continentale), UMR CNRS 7263, IRD 237 Aix-Marseille Université Avignon Université, Campus Timone, Faculté de Pharmacie, 27 Boulevard Jean Moulin, F-13385, Marseille cedex 05, France
| | - Marie-Christine Alessi
- UMR INSERM 1062, INRA 1260, Nutrition, Obésité et Risque Thrombotique (NORT), Aix-Marseille Université Campus Timone, Faculté de Médecine, 27 Boulevard Jean Moulin, F-13385, Marseille cedex 05, France
| | - Marie-Josephe Amiot-Carlin
- UMR INSERM 1062, INRA 1260, Nutrition, Obésité et Risque Thrombotique (NORT), Aix-Marseille Université Campus Timone, Faculté de Médecine, 27 Boulevard Jean Moulin, F-13385, Marseille cedex 05, France
| | - Franck Peiretti
- UMR INSERM 1062, INRA 1260, Nutrition, Obésité et Risque Thrombotique (NORT), Aix-Marseille Université Campus Timone, Faculté de Médecine, 27 Boulevard Jean Moulin, F-13385, Marseille cedex 05, France
| | - Philippe Piccerelle
- IMBE (Institut Méditerranéen de Biodiversité et d'Ecologie Marine et Continentale), UMR CNRS 7263, IRD 237 Aix-Marseille Université Avignon Université, Campus Timone, Faculté de Pharmacie, 27 Boulevard Jean Moulin, F-13385, Marseille cedex 05, France
| | - Gilles Nalbone
- UMR INSERM 1062, INRA 1260, Nutrition, Obésité et Risque Thrombotique (NORT), Aix-Marseille Université Campus Timone, Faculté de Médecine, 27 Boulevard Jean Moulin, F-13385, Marseille cedex 05, France
| | - Pierre-Henri Villard
- IMBE (Institut Méditerranéen de Biodiversité et d'Ecologie Marine et Continentale), UMR CNRS 7263, IRD 237 Aix-Marseille Université Avignon Université, Campus Timone, Faculté de Pharmacie, 27 Boulevard Jean Moulin, F-13385, Marseille cedex 05, France
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Martin JC, Maillot M, Mazerolles G, Verdu A, Lyan B, Migné C, Defoort C, Canlet C, Junot C, Guillou C, Manach C, Jabob D, Bouveresse DJR, Paris E, Pujos-Guillot E, Jourdan F, Giacomoni F, Courant F, Favé G, Le Gall G, Chassaigne H, Tabet JC, Martin JF, Antignac JP, Shintu L, Defernez M, Philo M, Alexandre-Gouaubau MC, Amiot-Carlin MJ, Bossis M, Triba MN, Stojilkovic N, Banzet N, Molinié R, Bott R, Goulitquer S, Caldarelli S, Rutledge DN. Can we trust untargeted metabolomics? Results of the metabo-ring initiative, a large-scale, multi-instrument inter-laboratory study. Metabolomics 2015; 11:807-821. [PMID: 26109925 PMCID: PMC4475541 DOI: 10.1007/s11306-014-0740-0] [Citation(s) in RCA: 93] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2014] [Accepted: 10/04/2014] [Indexed: 02/03/2023]
Abstract
The metabo-ring initiative brought together five nuclear magnetic resonance instruments (NMR) and 11 different mass spectrometers with the objective of assessing the reliability of untargeted metabolomics approaches in obtaining comparable metabolomics profiles. This was estimated by measuring the proportion of common spectral information extracted from the different LCMS and NMR platforms. Biological samples obtained from 2 different conditions were analysed by the partners using their own in-house protocols. Test #1 examined urine samples from adult volunteers either spiked or not spiked with 32 metabolite standards. Test #2 involved a low biological contrast situation comparing the plasma of rats fed a diet either supplemented or not with vitamin D. The spectral information from each instrument was assembled into separate statistical blocks. Correlations between blocks (e.g., instruments) were examined (RV coefficients) along with the structure of the common spectral information (common components and specific weights analysis). In addition, in Test #1, an outlier individual was blindly introduced, and its identification by the various platforms was evaluated. Despite large differences in the number of spectral features produced after post-processing and the heterogeneity of the analytical conditions and the data treatment, the spectral information both within (NMR and LCMS) and across methods (NMR vs. LCMS) was highly convergent (from 64 to 91 % on average). No effect of the LCMS instrumentation (TOF, QTOF, LTQ-Orbitrap) was noted. The outlier individual was best detected and characterised by LCMS instruments. In conclusion, untargeted metabolomics analyses report consistent information within and across instruments of various technologies, even without prior standardisation.
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Affiliation(s)
- Jean-Charles Martin
- INRA UMR1260, “Nutrition, Obésité et Risque Thrombotique”, 13385 Marseille, France
- Faculté de Médecine, Aix-Marseille Université, 13385 Marseille, France
- INSERM, UMR1062 “Nutrition, Obésité et Risque Thrombotique”, 13385 Marseille, France
| | - Matthieu Maillot
- INRA UMR1260, “Nutrition, Obésité et Risque Thrombotique”, 13385 Marseille, France
- Faculté de Médecine, Aix-Marseille Université, 13385 Marseille, France
- INSERM, UMR1062 “Nutrition, Obésité et Risque Thrombotique”, 13385 Marseille, France
| | - Gérard Mazerolles
- INRA, UMR 1083 SPO, INRA Campus SupAgro, Plateforme Polyphénols, 2 Place Viala, 34060 Montpellier Cedex 02, France
| | - Alexandre Verdu
- BRUKER, 4 allée Hendrick Lorentz, 77447 Marne La Vallée Cedex 2, France
| | - Bernard Lyan
- INRA, UMR 1019, UNH, CRNH Auvergne, 63000 Clermond-Ferrand, France
- INRA, UMR 1019, Plateforme d’Exploration du Métabolisme, UNH, 63000 Clermond-Ferrand, France
| | - Carole Migné
- INRA, UMR 1019, UNH, CRNH Auvergne, 63000 Clermond-Ferrand, France
- INRA, UMR 1019, Plateforme d’Exploration du Métabolisme, UNH, 63000 Clermond-Ferrand, France
| | - Catherine Defoort
- INRA UMR1260, “Nutrition, Obésité et Risque Thrombotique”, 13385 Marseille, France
- Faculté de Médecine, Aix-Marseille Université, 13385 Marseille, France
- INSERM, UMR1062 “Nutrition, Obésité et Risque Thrombotique”, 13385 Marseille, France
| | - Cecile Canlet
- INRA, UMR 1331 TOXALIM (Research Center in Food Toxicology), Axiom-Metatoul, 31027 Toulouse, France
| | - Christophe Junot
- Laboratoire d’Etude du Métabolisme des Médicaments, DSV/iBiTec-S/SPI, CEA-Saclay, 91191 Gif-sur-Yvette Cedex, France
| | - Claude Guillou
- European Commission, Joint Research Centre, Institute for Health and Consumer Protection, Via Enrico Fermi 2749, 21027 Ispra, Italy
| | - Claudine Manach
- INRA, UMR 1019, UNH, CRNH Auvergne, 63000 Clermond-Ferrand, France
- INRA, UMR 1019, Plateforme d’Exploration du Métabolisme, UNH, 63000 Clermond-Ferrand, France
| | - Daniel Jabob
- INRA, UMR1332 Fruit Biology and Pathology, Centre INRA de Bordeaux, 33140 Villenave d’Ornon, France
| | - Delphine Jouan-Rimbaud Bouveresse
- INRA, UMR 1145 Ingénierie Procédés Aliments, 75005 Paris, France
- AgroParisTech, UMR 1145 Ingénierie Procédés Aliments, 75005 Paris, France
| | - Estelle Paris
- INRA, UMR 1145 Ingénierie Procédés Aliments, 75005 Paris, France
- AgroParisTech, UMR 1145 Ingénierie Procédés Aliments, 75005 Paris, France
| | - Estelle Pujos-Guillot
- INRA, UMR 1019, UNH, CRNH Auvergne, 63000 Clermond-Ferrand, France
- INRA, UMR 1019, Plateforme d’Exploration du Métabolisme, UNH, 63000 Clermond-Ferrand, France
| | - Fabien Jourdan
- INRA, UMR 1331 TOXALIM (Research Center in Food Toxicology), Metabolism of Xenobiotics (MeX), 31027 Toulouse, France
| | - Franck Giacomoni
- INRA, UMR 1019, UNH, CRNH Auvergne, 63000 Clermond-Ferrand, France
- INRA, UMR 1019, Plateforme d’Exploration du Métabolisme, UNH, 63000 Clermond-Ferrand, France
| | - Frédérique Courant
- LUNAM Université, Oniris, Laboratoire d’Etude des Résidus et Contaminants dans les Aliments (LABERCA), USC INRA 1329, BP 50707, 44307 Nantes Cedex 3, France
| | - Gaëlle Favé
- INRA UMR1260, “Nutrition, Obésité et Risque Thrombotique”, 13385 Marseille, France
- Faculté de Médecine, Aix-Marseille Université, 13385 Marseille, France
- INSERM, UMR1062 “Nutrition, Obésité et Risque Thrombotique”, 13385 Marseille, France
| | - Gwenaëlle Le Gall
- Institute of Food Research, Norwich Research Park, Norwich, NR4 7UA UK
| | - Hubert Chassaigne
- European Commission, Joint Research Centre, Institute for Health and Consumer Protection, Via Enrico Fermi 2749, 21027 Ispra, Italy
| | - Jean-Claude Tabet
- UPMC, Institut Parisien de Chimie Moléculaire, UMR-CNRS 7201, 4 Place Jussieu, Paris Cédex 05, France
| | - Jean-Francois Martin
- INRA, UMR 1019, UNH, CRNH Auvergne, 63000 Clermond-Ferrand, France
- INRA, UMR 1019, Plateforme d’Exploration du Métabolisme, UNH, 63000 Clermond-Ferrand, France
| | - Jean-Philippe Antignac
- LUNAM Université, Oniris, Laboratoire d’Etude des Résidus et Contaminants dans les Aliments (LABERCA), USC INRA 1329, BP 50707, 44307 Nantes Cedex 3, France
| | - Laetitia Shintu
- Aix-Marseille Université, ISM2, Campus Scientifique Saint Jérôme, 13397 Marseille Cedex 20, France
| | - Marianne Defernez
- Institute of Food Research, Norwich Research Park, Norwich, NR4 7UA UK
| | - Mark Philo
- Institute of Food Research, Norwich Research Park, Norwich, NR4 7UA UK
| | | | - Marie-Josephe Amiot-Carlin
- INRA UMR1260, “Nutrition, Obésité et Risque Thrombotique”, 13385 Marseille, France
- Faculté de Médecine, Aix-Marseille Université, 13385 Marseille, France
- INSERM, UMR1062 “Nutrition, Obésité et Risque Thrombotique”, 13385 Marseille, France
| | - Mathilde Bossis
- European Commission, Joint Research Centre, Institute for Health and Consumer Protection, Via Enrico Fermi 2749, 21027 Ispra, Italy
| | - Mohamed N. Triba
- Université Paris 13, Sorbonne Paris Cité, Laboratoire CSPBAT, CNRS (UMR 7244), 93017 Bobigny, France
| | - Natali Stojilkovic
- LCH, Laboratoire des Courses Hippiques, 91370 Verrières-le-Buisson, France
| | - Nathalie Banzet
- AP-HM, Hôpital Timone, Laboratoire de Biochimie, 13385 Marseille, France
| | - Roland Molinié
- Université de Picardie Jules Verne, EA 3900 BIOPI Biologie des plantes innovation, UFR de Pharmacie, 1 rue des Louvels, 80000 Amiens, France
| | - Romain Bott
- INRA UMR1260, “Nutrition, Obésité et Risque Thrombotique”, 13385 Marseille, France
- Faculté de Médecine, Aix-Marseille Université, 13385 Marseille, France
- INSERM, UMR1062 “Nutrition, Obésité et Risque Thrombotique”, 13385 Marseille, France
| | - Sophie Goulitquer
- MetaboMer, FR2424, CNRS/UPMC, Station Biologique de Roscoff, Place Georges Tessier, 29680 Roscoff, France
| | - Stefano Caldarelli
- Aix-Marseille Université, ISM2, Campus Scientifique Saint Jérôme, 13397 Marseille Cedex 20, France
| | - Douglas N. Rutledge
- INRA, UMR 1145 Ingénierie Procédés Aliments, 75005 Paris, France
- AgroParisTech, UMR 1145 Ingénierie Procédés Aliments, 75005 Paris, France
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Vincent S, Gerber M, Bernard MC, Defoort C, Loundou A, Portugal H, Planells R, Juhan-Vague I, Charpiot P, Grolier P, Amiot-Carlin MJ, Vague P, Lairon D. The Medi-RIVAGE study (Mediterranean Diet, Cardiovascular Risks and Gene Polymorphisms): rationale, recruitment, design, dietary intervention and baseline characteristics of participants. Public Health Nutr 2004; 7:531-42. [PMID: 15153259 DOI: 10.1079/phn2003547] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To report the rationale, recruitment, design, dietary intervention and baseline characteristics of participants in the Medi-RIVAGE study (Mediterranean Diet, Cardiovascular Risks and Gene Polymorphisms). DESIGN A randomised, parallel trial comparing a new nutritional programme with a conventional programme. SETTING Centre for Detection and Prevention of Arteriosclerosis, Timone University Hospital, Marseille, France, and collaborating teams. SUBJECTS Two hundred and twelve male and female volunteers with at least one cardiovascular risk factor. INTERVENTION A Mediterranean-type diet characterised mainly by the quality of fatty acids, amount of fish, vegetable foodstuffs and fibre was proposed and compared with a usually prescribed, low-fat/cholesterol diet. Body mass index, fasting lipids and lipoproteins, apolipoproteins, glucose, insulin and homocysteine were the main outcome measures. Gene polymorphisms of interest were determined. RESULTS Characteristics of men in the two arms were comparable with regard to sociodemographic variables, and clinical and biological cardiovascular risk factors. There were few differences between the groups of women (cholesterol-related parameters, P<0.05). There was no difference between arms in allelic distribution of the gene polymorphisms studied. Saturated fat and protein intakes were high while carbohydrate and fibre intakes were low, but with no difference between arms. Overall, the nutritional markers were comparable in both arms with few exceptions. Correlations between nutritional intakes and plasma nutrient levels ranged from 0.19 (beta-carotene) to 0.47 (folate). CONCLUSIONS The comparability of the two arms is notable and warrants a low risk of biases. Current diet departs from the traditional Mediterranean one. The assessment of nutritional intake is validated by correlations obtained between dietary intake and relevant biomarkers. This will be important to estimate participant compliance and to analyse intervention data.
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Affiliation(s)
- S Vincent
- Unit 476-Human Nutrition and Lipids at INSERM (National Institute of Health and Medical Research), Faculty of Medicine Timone, Méditerranée University, 27 boulevard Jean Moulin, F-13385 Marseille Cedex 5, France
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