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Items: 1 to 20 of 48

1.

Plasma metabolomic signatures associated with long-term breast cancer risk in the SU.VI.MAX prospective cohort.

Lécuyer L, Dalle C, Lyan B, Demidem A, Rossary A, Vasson MP, Petera M, Lagree M, Ferreira T, Centeno D, Galan P, Hercberg S, Deschasaux M, Partula V, Srour B, Latino-Martel P, Kesse-Guyot E, Druesne-Pecollo N, Durand S, Pujos-Guillot E, Touvier M.

Cancer Epidemiol Biomarkers Prev. 2019 Jun 4. pii: cebp.0154.2019. doi: 10.1158/1055-9965.EPI-19-0154. [Epub ahead of print]

PMID:
31164347
2.

Mass spectral databases for metabolomics: How to build a consistently annotated mass spectral database from pure reference compounds analyzed under electrospray ionization conditions?

Damont A, Olivier MF, Warnet A, Lyan B, Pujos-Guillot E, Jamin EL, Debrauwer L, Bernillon S, Junot C, Tabet JC, Fenaille F.

J Mass Spectrom. 2019 May 13. doi: 10.1002/jms.4372. [Epub ahead of print]

PMID:
31083780
3.

A Data Integration Multi-Omics Approach to Study Calorie Restriction-Induced Changes in Insulin Sensitivity.

Dao MC, Sokolovska N, Brazeilles R, Affeldt S, Pelloux V, Prifti E, Chilloux J, Verger EO, Kayser BD, Aron-Wisnewsky J, Ichou F, Pujos-Guillot E, Hoyles L, Juste C, Doré J, Dumas ME, Rizkalla SW, Holmes BA, Zucker JD, Clément K; MICRO-Obes Consortium.

Front Physiol. 2019 Feb 5;9:1958. doi: 10.3389/fphys.2018.01958. eCollection 2018.

4.

Profound Changes in Net Energy and Nitrogen Metabolites Fluxes within the Splanchnic Area during Overfeeding of Yucatan Mini Pigs That Remain Euglycemic.

Isabelle SA, Ahmed-Ben M, Benoit C, Dominique D, Jérémie D, Noureddine H, Carole M, Estelle PG, Didier R, Sergio P.

Nutrients. 2019 Feb 19;11(2). pii: E434. doi: 10.3390/nu11020434.

5.

Identification of Pre-frailty Sub-Phenotypes in Elderly Using Metabolomics.

Pujos-Guillot E, Pétéra M, Jacquemin J, Centeno D, Lyan B, Montoliu I, Madej D, Pietruszka B, Fabbri C, Santoro A, Brzozowska A, Franceschi C, Comte B.

Front Physiol. 2019 Jan 24;9:1903. doi: 10.3389/fphys.2018.01903. eCollection 2018.

6.

Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies.

Ulaszewska MM, Weinert CH, Trimigno A, Portmann R, Andres Lacueva C, Badertscher R, Brennan L, Brunius C, Bub A, Capozzi F, Cialiè Rosso M, Cordero CE, Daniel H, Durand S, Egert B, Ferrario PG, Feskens EJM, Franceschi P, Garcia-Aloy M, Giacomoni F, Giesbertz P, González-Domínguez R, Hanhineva K, Hemeryck LY, Kopka J, Kulling SE, Llorach R, Manach C, Mattivi F, Migné C, Münger LH, Ott B, Picone G, Pimentel G, Pujos-Guillot E, Riccadonna S, Rist MJ, Rombouts C, Rubert J, Skurk T, Sri Harsha PSC, Van Meulebroek L, Vanhaecke L, Vázquez-Fresno R, Wishart D, Vergères G.

Mol Nutr Food Res. 2019 Jan;63(1):e1800384. doi: 10.1002/mnfr.201800384. Epub 2018 Oct 11. Review.

PMID:
30176196
7.

Targeting Colon Luminal Lipid Peroxidation Limits Colon Carcinogenesis Associated with Red Meat Consumption.

Martin OCB, Naud N, Taché S, Debrauwer L, Chevolleau S, Dupuy J, Chantelauze C, Durand D, Pujos-Guillot E, Blas-Y-Estrada F, Urbano C, Kuhnle GGC, Santé-Lhoutellier V, Sayd T, Viala D, Blot A, Meunier N, Schlich P, Attaix D, Guéraud F, Scislowski V, Corpet DE, Pierre FHF.

Cancer Prev Res (Phila). 2018 Sep;11(9):569-580. doi: 10.1158/1940-6207.CAPR-17-0361. Epub 2018 Jun 28.

PMID:
29954759
8.

Metabolomics Reveals that the Type of Protein in a High-Fat Meal Modulates Postprandial Mitochondrial Overload and Incomplete Substrate Oxidation in Healthy Overweight Men.

Pujos-Guillot E, Brandolini-Bunlon M, Fouillet H, Joly C, Martin JF, Huneau JF, Dardevet D, Mariotti F.

J Nutr. 2018 Jun 1;148(6):876-884. doi: 10.1093/jn/nxy049.

PMID:
29878266
9.

Exploratory GC/MS-Based Metabolomics of Body Fluids.

Migné C, Durand S, Pujos-Guillot E.

Methods Mol Biol. 2018;1730:239-246. doi: 10.1007/978-1-4939-7592-1_16.

PMID:
29363077
10.

Evaluation of oxidized phospholipids analysis by LC-MS/MS.

Khoury S, Pouyet C, Lyan B, Pujos-Guillot E.

Anal Bioanal Chem. 2018 Jan;410(2):633-647. doi: 10.1007/s00216-017-0764-1. Epub 2017 Nov 28.

PMID:
29184993
11.

Myofiber metabolic type determination by mass spectrometry imaging.

Centeno D, Vénien A, Pujos-Guillot E, Astruc T, Chambon C, Théron L.

J Mass Spectrom. 2017 Aug;52(8):493-496. doi: 10.1002/jms.3957.

PMID:
28776864
12.

Systems Metabolomics for Prediction of Metabolic Syndrome.

Pujos-Guillot E, Brandolini M, Pétéra M, Grissa D, Joly C, Lyan B, Herquelot É, Czernichow S, Zins M, Goldberg M, Comte B.

J Proteome Res. 2017 Jun 2;16(6):2262-2272. doi: 10.1021/acs.jproteome.7b00116. Epub 2017 May 4.

PMID:
28440083
13.

A Proof of Concept to Bridge the Gap between Mass Spectrometry Imaging, Protein Identification and Relative Quantitation: MSI~LC-MS/MS-LF.

Théron L, Centeno D, Coudy-Gandilhon C, Pujos-Guillot E, Astruc T, Rémond D, Barthelemy JC, Roche F, Feasson L, Hébraud M, Béchet D, Chambon C.

Proteomes. 2016 Oct 26;4(4). pii: E32. doi: 10.3390/proteomes4040032.

14.

Weight for gestational age and metabolically healthy obesity in adults from the Haguenau cohort.

Matta J, Carette C, Levy Marchal C, Bertrand J, Pétéra M, Zins M, Pujos-Guillot E, Comte B, Czernichow S.

BMJ Open. 2016 Aug 31;6(8):e011367. doi: 10.1136/bmjopen-2016-011367.

15.

Metabolic adaptations to HFHS overfeeding: how whole body and tissues postprandial metabolic flexibility adapt in Yucatan mini-pigs.

Polakof S, Rémond D, Bernalier-Donadille A, Rambeau M, Pujos-Guillot E, Comte B, Dardevet D, Savary-Auzeloux I.

Eur J Nutr. 2018 Feb;57(1):119-135. doi: 10.1007/s00394-016-1302-1. Epub 2016 Aug 27.

PMID:
27568059
16.

Variations in the metabolome in response to disease activity of rheumatoid arthritis.

Tatar Z, Migne C, Petera M, Gaudin P, Lequerre T, Marotte H, Tebib J, Pujos Guillot E, Soubrier M.

BMC Musculoskelet Disord. 2016 Aug 22;17(1):353. doi: 10.1186/s12891-016-1214-5.

17.

Dietary intake in young adults born small or appropriate for gestational age: data from the Haguenau cohort.

Matta J, Carette C, Levy Marchal C, Bertrand J, Pétéra M, Zins M, Pujos-Guillot E, Comte B, Czernichow S.

BMJ Open. 2016 Jul 29;6(7):e012309. doi: 10.1136/bmjopen-2016-012309.

18.

Feature Selection Methods for Early Predictive Biomarker Discovery Using Untargeted Metabolomic Data.

Grissa D, Pétéra M, Brandolini M, Napoli A, Comte B, Pujos-Guillot E.

Front Mol Biosci. 2016 Jul 8;3:30. doi: 10.3389/fmolb.2016.00030. eCollection 2016.

19.

Quantification of 4-hydroxy-2-nonenal-protein adducts in the in vivo gastric digesta of mini-pigs using a GC-MS/MS method with accuracy profile validation.

Delosière M, Santé-Lhoutellier V, Chantelauze C, Durand D, Thomas A, Joly C, Pujos-Guillot E, Rémond D, Comte B, Gladine C, Guy A, Durand T, Laurentie M, Dufour C.

Food Funct. 2016 Aug 10;7(8):3497-504. doi: 10.1039/c6fo00413j. Epub 2016 Jul 15.

PMID:
27418316
20.

Time Course of Molecular and Metabolic Events in the Development of Insulin Resistance in Fructose-Fed Rats.

Polakof S, Dardevet D, Lyan B, Mosoni L, Gatineau E, Martin JF, Pujos-Guillot E, Mazur A, Comte B.

J Proteome Res. 2016 Jun 3;15(6):1862-74. doi: 10.1021/acs.jproteome.6b00043. Epub 2016 May 4.

PMID:
27115730

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