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Items: 1 to 20 of 64

1.

Steroidomics for highlighting novel serum biomarkers of testosterone doping.

Ponzetto F, Boccard J, Nicoli R, Kuuranne T, Saugy M, Rudaz S.

Bioanalysis. 2019 Jun 10. doi: 10.4155/bio-2019-0079. [Epub ahead of print]

PMID:
31179715
2.

Protein pathway analysis to study development-dependent effects of acute and repeated trimethyltin (TMT) treatments in 3D rat brain cell cultures.

Schvartz D, González-Ruiz V, Walter N, Antinori P, Jeanneret F, Tonoli D, Boccard J, Zurich MG, Rudaz S, Monnet-Tschudi F, Sandström J, Sanchez JC.

Toxicol In Vitro. 2019 Jun 7;60:281-292. doi: 10.1016/j.tiv.2019.05.020. [Epub ahead of print]

PMID:
31176792
3.

DynaStI: A Dynamic Retention Time Database for Steroidomics.

Codesido S, Randazzo GM, Lehmann F, González-Ruiz V, García A, Xenarios I, Liechti R, Bridge A, Boccard J, Rudaz S.

Metabolites. 2019 Apr 30;9(5). pii: E85. doi: 10.3390/metabo9050085.

4.

An Integrative Multi-Omics Workflow to Address Multifactorial Toxicology Experiments.

González-Ruiz V, Schvartz D, Sandström J, Pezzatti J, Jeanneret F, Tonoli D, Boccard J, Monnet-Tschudi F, Sanchez JC, Rudaz S.

Metabolites. 2019 Apr 24;9(4). pii: E79. doi: 10.3390/metabo9040079.

5.

In vitro models to study insulin and glucocorticoids modulation of trimethyltin (TMT)-induced neuroinflammation and neurodegeneration, and in vivo validation in db/db mice.

Sandström J, Kratschmar DV, Broyer A, Poirot O, Marbet P, Chantong B, Zufferey F, Dos Santos T, Boccard J, Chrast R, Odermatt A, Monnet-Tschudi F.

Arch Toxicol. 2019 Jun;93(6):1649-1664. doi: 10.1007/s00204-019-02455-0. Epub 2019 Apr 16.

PMID:
30993381
6.

Toward a better understanding of chronic kidney disease with complementary chromatographic methods hyphenated with mass spectrometry for improved polar metabolome coverage.

Gagnebin Y, Pezzatti J, Lescuyer P, Boccard J, Ponte B, Rudaz S.

J Chromatogr B Analyt Technol Biomed Life Sci. 2019 May 15;1116:9-18. doi: 10.1016/j.jchromb.2019.03.031. Epub 2019 Mar 26.

PMID:
30951967
7.

A scoring approach for multi-platform acquisition in metabolomics.

Pezzatti J, González-Ruiz V, Codesido S, Gagnebin Y, Joshi A, Guillarme D, Schappler J, Picard D, Boccard J, Rudaz S.

J Chromatogr A. 2019 May 10;1592:47-54. doi: 10.1016/j.chroma.2019.01.023. Epub 2019 Jan 10.

PMID:
30685186
8.

Removal of batch effects using stratified subsampling of metabolomic data for in vitro endocrine disruptors screening.

Boccard J, Tonoli D, Strajhar P, Jeanneret F, Odermatt A, Rudaz S.

Talanta. 2019 Apr 1;195:77-86. doi: 10.1016/j.talanta.2018.11.019. Epub 2018 Nov 8.

PMID:
30625615
9.

Metabolomics in chronic kidney disease: Strategies for extended metabolome coverage.

Gagnebin Y, Julien B, Belén P, Serge R.

J Pharm Biomed Anal. 2018 Nov 30;161:313-325. doi: 10.1016/j.jpba.2018.08.046. Epub 2018 Aug 25. Review.

PMID:
30195171
10.

UHPLC-HRMS Analysis for Steroid Profiling in Serum (Steroidomics).

Ponzetto F, Boccard J, Nicoli R, Kuuranne T, Saugy M, Rudaz S.

Methods Mol Biol. 2018;1738:261-278. doi: 10.1007/978-1-4939-7643-0_18.

PMID:
29654596
11.

Steroid profiles in both blood serum and seminal plasma are not correlated and do not reflect sperm quality: Study on the male reproductive health of fifty young Swiss men.

Zufferey F, Rahban R, Garcia A, Gagnebin Y, Boccard J, Tonoli D, Jeanneret F, Stettler E, Senn A, Nef S, Rudaz S, Rossier MF.

Clin Biochem. 2018 Dec;62:39-46. doi: 10.1016/j.clinbiochem.2018.03.008. Epub 2018 Mar 16.

PMID:
29555320
12.

Dynamics of Metabolite Induction in Fungal Co-cultures by Metabolomics at Both Volatile and Non-volatile Levels.

Azzollini A, Boggia L, Boccard J, Sgorbini B, Lecoultre N, Allard PM, Rubiolo P, Rudaz S, Gindro K, Bicchi C, Wolfender JL.

Front Microbiol. 2018 Feb 5;9:72. doi: 10.3389/fmicb.2018.00072. eCollection 2018.

13.

Extracting Knowledge from MS Clinical Metabolomic Data: Processing and Analysis Strategies.

Boccard J, Rudaz S.

Methods Mol Biol. 2018;1730:371-384. doi: 10.1007/978-1-4939-7592-1_28.

PMID:
29363089
14.

Unravelling the effects of multiple experimental factors in metabolomics, analysis of human neural cells with hydrophilic interaction liquid chromatography hyphenated to high resolution mass spectrometry.

González-Ruiz V, Pezzatti J, Roux A, Stoppini L, Boccard J, Rudaz S.

J Chromatogr A. 2017 Dec 8;1527:53-60. doi: 10.1016/j.chroma.2017.10.055. Epub 2017 Oct 25.

PMID:
29106965
15.

Optimized selection of liquid chromatography conditions for wide range analysis of natural compounds.

Periat A, Guillarme D, Veuthey JL, Boccard J, Moco S, Barron D, Grand-Guillaume Perrenoud A.

J Chromatogr A. 2017 Jun 30;1504:91-104. doi: 10.1016/j.chroma.2017.05.024. Epub 2017 May 10.

PMID:
28521953
16.

Enhanced metabolite annotation via dynamic retention time prediction: Steroidogenesis alterations as a case study.

Randazzo GM, Tonoli D, Strajhar P, Xenarios I, Odermatt A, Boccard J, Rudaz S.

J Chromatogr B Analyt Technol Biomed Life Sci. 2017 Dec 15;1071:11-18. doi: 10.1016/j.jchromb.2017.04.032. Epub 2017 Apr 23.

PMID:
28479067
17.

High-resolution mass spectrometry as an alternative detection method to tandem mass spectrometry for the analysis of endogenous steroids in serum.

Ponzetto F, Boccard J, Baume N, Kuuranne T, Rudaz S, Saugy M, Nicoli R.

J Chromatogr B Analyt Technol Biomed Life Sci. 2017 May 1;1052:34-42. doi: 10.1016/j.jchromb.2017.03.016. Epub 2017 Mar 18.

PMID:
28346887
18.

Steroid profiling in H295R cells to identify chemicals potentially disrupting the production of adrenal steroids.

Strajhar P, Tonoli D, Jeanneret F, Imhof RM, Malagnino V, Patt M, Kratschmar DV, Boccard J, Rudaz S, Odermatt A.

Toxicology. 2017 Apr 15;381:51-63. doi: 10.1016/j.tox.2017.02.010. Epub 2017 Feb 22.

PMID:
28235592
19.

Targeted metabolomics shows plasticity in the evolution of signaling lipids and uncovers old and new endocannabinoids in the plant kingdom.

Gachet MS, Schubert A, Calarco S, Boccard J, Gertsch J.

Sci Rep. 2017 Jan 25;7:41177. doi: 10.1038/srep41177.

20.

Metabolomic analysis of urine samples by UHPLC-QTOF-MS: Impact of normalization strategies.

Gagnebin Y, Tonoli D, Lescuyer P, Ponte B, de Seigneux S, Martin PY, Schappler J, Boccard J, Rudaz S.

Anal Chim Acta. 2017 Feb 22;955:27-35. doi: 10.1016/j.aca.2016.12.029. Epub 2016 Dec 28.

PMID:
28088278

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