Metabolomics as a potential new approach for investigating human reproductive disorders

Journal of Proteome Research

Volumn 12, Issue 6, 2013, Pages 2914-2920

  Courant, Frédérique ^a   Antignac, Jean Philippe ^a   Monteau, Fabrice ^a   Le Bizec, Bruno ^a  

^a Waters Corporation   (France)

Author keywords

mass spectrometry; metabolomics; reproductive disorders

Indexed keywords

COMPLEMENT; COMPLEMENT COMPONENT C3F; UNCLASSIFIED DRUG;

ADULT; ARTICLE; CONTROLLED STUDY; HUMAN; HUMAN CELL; LIQUID CHROMATOGRAPHY; MAJOR CLINICAL STUDY; MALE; MALE GENITAL SYSTEM DISEASE; MASS SPECTROMETRY; METABOLOMICS; PRIORITY JOURNAL; SPERM; TESTIS FUNCTION;

EID: 84879364939     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/pr400204q     Document Type: Article

References (48)

1. Carlsen, E.; Giwercman, A.; Keiding, N. Evidence for decreasing quality of semen during past 50 years BMJ 1992, 305, 609-13
2. Jouannet, P.; Wang, C.; Eustache, F. Semen quality and male reproductive health: the controversy about human sperm concentration decline APMIS 2001, 109, 333-344
3. Merzenich, H.; Zeeb, H.; Blettner, M. Decreasing sperm quality: a global problem BMC Public Health 2010, 10, 24
4. Nordkap, L.; Joensen, U.; Jensen, M.; Jørgensen, N. Regional differences and temporal trends in male reproductive health disorders: Semen quality may be a sensitive marker of environmental exposures Mol. Cell. Endocrinol. 2012, 355, 221-230
5. Chia, V.; Quraishi, S.; Devesa, S. International trends in the incidence of testicular cancer, 1973-2002 Cancer Epidemiol. Biomarkers Prev. 2010, 5, 1151-1159
6. Boisen, K.; Chellakooty, M.; Schmidt, I. Hypospadias in a cohort of 1072 Danish newborn boys: prevalence and relationship to placental weight, anthropometrical measurements at birth, and reproductive hormone levels at three months of age J. Clin. Endocrinol. Metab. 2005, 7, 4041-4046
7. Skakkebaek, N.; Rajpert-De Meyts, E.; Main, K. M. Testicular dysgenesis syndrome: an Increasingly common developpmental disorder with environmental aspects Hum. Reprod. 2001, 16, 972-978
8. Jorgensen, N.; Joensen, U.; Jensen, T.; Jensen, M.; Almstrup, K.; Olesen, I. Human semen quality in the new millennium: a prospective cross-sectional population-based study of 4867 men BMJ Open 2012, 10.1136/bmjopen-2012-000990
9. Nicholson, J.; Lindon, J.; Holmes, E. 'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivaraiate statistical analysis of biological NMR spectroscopic data Xenobiotica 1999, 29, 1181-1189
10. Nicholson, J.; Connelly, J.; Lindon, J.; Holmes, E. Metabonomics: a platform for studying drug toxicity and gene function Nat. Rev. Drug Discovery 2002, 1, 153-161
11. Zhang, A.; Sun, H.; Wang, X. Serum metabolomics as a novel diagnostic approach for disease: a systematic review Anal. Bioanal. Chem. 2012, 404, 1239-1245
12. Deepinder, F.; Chowdary, H.; Agarwal, A. Role of metabolomic analysis of biomarkers in the management of male infertility Expert Rev. Mol. Diagn. 2007, 7, 351-358
13. Theodoridis, G.; Gika, H.; Wilson, I. LC-MS-based methodology for global metabolite profiling in metabonomics/metabolomics Trends Anal. Chem. 2008, 27, 251-260
14. Antignac, J. P.; Courant, F.; Pinel, G.; Monteau, F.; Le Bizec, B. Mass spectrometric based metabolomic in the field of chemical risk: state of the art, pitfalls, and future trends Trends Anal. Chem. 2011, 30, 292-301
15. Alexandre-Gouabau, M. C.; Courant, F.; Le Gall, G. Offspring metabolomic response to maternal protein restriction in a rat model of intrauterine growth restriction (IUGR) J. Proteome Res. 2011, 10, 3292-3302
16. Madalinski, G.; Godat, E.; Alves, S. Direct introduction of biological samples into a LTQ-Orbitrap hybrid mass spectrometer as a tool for fast metabolome analysis Anal. Chem. 2008, 80, 3291-3303
17. McDougall, G.; Martinussen, I.; Stewart, D. Towards fruitful metabolomics: high throughput analyses of polyphenol composition in berries using direct infusion mass spectrometry J. Chromatogr., B 2008, 871, 362-369
18. Pasikanti, K.; Ho, P.; Chan, E. Gas chromatography/mass spectrometry in metabolic profiling of biological fluids J. Chromatogr., B 2008, 871, 202-211
19. Anizan, S.; Bichon, E.; Monteau, F. A new reliable sample preparation for high throughput focused steroid profiling by Gas Chromatography-Mass Spectrometry J. Chromatogr., A 2010, 1217, 6652-6660
20. Zhang, Q.; Wang, G.; Du, Y.; Zhu, L. A. J. GC/MS analysis of the rat urine for metabonomic research J. Chromatogr., B 2007, 854, 20-25
21. Idborg, H.; Zamani, L.; Edlund, P.-O.; Schuppe-Koistinen, I.; Jacobsson, S. Metabolic fingerprinting of rat urine by LC/MS Part1. Analysis by hydrophilic interaction liquid chromatography-electrospray ionization mass spectrometry J. Chromatogr. B 2005, 828, 9-13
22. Idborg, H.; Zamani, L.; Edlund, P.-O.; Schuppe-Koistinen, I.; Jacobsson, S. Metabolic fingerprinting of rat urine by LC/MS Part 2. Data pretreatment methods for handling of complex data J. Chromatogr., B 2005, 828, 14-20
23. Garcia-Villalba, R.; Leon, C.; Dinelli, G. Comparative metabolomic study of transgenic versus conventional soybean using capillary electrophoresis-time- of-flight mass spectrometry J. Chromatogr., A 2008, 1195, 164-173
24. Platt, J.; Uy, O.; Heller, D.; Cotter, R.; Fenselau, C. Computer-based linear regression analysis of desorption mass spectra of microorganisms Anal. Chem. 1988, 60, 1415-1419
25. Dave, K.; Hamilton, B.; Wallis, T.; Furness, S.; Whitelaw, M.; Gorman, J. Identification of N,Nε-dimethyl-lysine in the murine dioxin receptor using MALDI-TOF/TOF- and ESI-LTQ-Orbitrap-FT-MS Int. J. Mass Spectrom. 2007, 268, 168-180
26. Jarman, K.; Cebula, S.; Saenz, A. An algorithm for automated bacterial identification using matrix-assisted laser desoption/ionisation mass spectrometry Anal. Chem. 2000, 72, 1217-1223
27. Nordström, A.; O'Maille, G.; Qin, C.; Siuzdak, G. Nonlinear data alignment for UPLC-MS and HPLC-MS based metabolomics: quantitative analysis of endogenous and exogenous metabolites in human serum Anal. Chem. 2006, 78, 3289-3295
28. Anizan, S.; Bichon, E.; Di Nardo, D. Screening of androstenedione misuse in cattle by LC-MS/MS profiling of glucuronide and sulfate steroids in urine Talanta 2011, 86, 186-194
29. n fragmentation Phytochemistry 2008, 69, 1671-1679
30. Sleighter, R.; Hatcher, P. The application of electrospray ionization coupled to ultrahigh resolution mass spectrometry for the molecular characterization of natural organic matter J. Mass Spectrom. 2007, 42, 559-574
31. Dunn, W.; Broadhurst, D.; Brown, M. Metabolic profiling of serum using Ultra Performance Liquid Chromatography and the LTQ-Orbitrap mass spectrometry system J. Chromatogr., B 2008, 871, 288-298
32. Courant, F.; Pinel, G.; Bichon, E. Development of a metabolomic approach based on liquid chromatography high resolution mass spectrometry to screen for clenbuterol abuse in calves Analyst 2009, 134, 1637-1646
33. Jorgensen, N.; Carlsen, E.; Nermoen, I. East-West gradient in semen quality in the Nordic-Baltic area: a study of men from the general population in Denmark, Norway, Estonia and Finland Hum. Reprod. 2002, 17, 2199-2208
34. Courant, F.; Royer, A. L.; Chéreau, S. Implementation of a semi-automated strategy for the annotation of metabolomic fingerprints generated by liquid chromatography-high resolution mass spectrometry from biological samples Analyst 2012, 137, 4958-4967
35. Smith, C.; Want, E.; O'Maille, G.; Abagyan, R.; Siuzdak, G. XCMS: Processing mass spectrometry data for metabolite profiling using non linear peak alignment, matching, and identification Anal. Chem. 2006, 78, 779-787
36. Trygg, J.; Wold, S. Orthogonal projections to latent structures (O-PLS) J. Chemom. 2002, 16, 119-128
37. Trygg, J. O2-PLS for qualitative and quantitative analysis in multivariate calibration J. Chemom. 2002, 16, 283-293
38. Eriksson, L.; Trygg, J.; Wold, S. CV-ANOVA for significance testing of PLS and OPLS models J. Chemom. 2008, 22, 594-600
39. van den Berg, R.; Hoefsloot, H.; Westerhuis, J.; Smilde, A.; van der Werf, M. Centering, scaling, and transformations: improving the biological information content of metabolomics data BMC Genomics 2006, 7
40. Silva, E.; Regal, P.; Atkinson, E.; Fente, C. A new approach for identifying patients with ovarian epithelial neoplasms based on high-resolution mass spectrometry Am. J. Clin. Pathol. 2010, 34, 903-909
41. Stella, C.; Beckwith-Hall, B.; Cloarec, O. Susceptibility of human metabolic phenotypes to dietary modulation J. Proteome Res. 2006, 5, 2780-2788
42. Hodson, M.; Dear, G.; Roberts, A. A gender-specific discriminator in Sprague-Dawley rat urine: The deployment of a metabolic profiling strategy for biomarker discovery and identification Anal. Biochem. 2007, 362, 182-192
43. Lenz, E.; Wilson, I. Analytical Strategies in Metabolomics J. Proteome Res. 2007, 6, 443-458
44. Lenz, E.; Bright, J.; Wilson, I. Metabonomics, dietary influences and cultural differences: a 1H NMR-based study of urine samples obtained from healthy British and Swedish subjects J. Pharm. Biomed. Anal. 2004, 36, 841-849
45. Dumas, M.; Maibaum, E.; Teague, C. Assessment of Analytical Reproducibility of 1H NMR Spectroscopy Based Metabonomics for Large-Scale Epidemiological Research: the INTERMAP Study Anal. Chem. 2006, 78, 2199-2208
46. van der Greef, J.; Smilde, A. Symbiosis of chemometrics and metabolomics: past, present, and future J. Chemom. 2005, 19, 376-386
47. van Velzen, E.; Westerhuis, J.; van Duynhoven, J. Multilevel data analysis of a crossover designed human nutritional intervention study J. Proteome Res. 2008, 7, 4483-4491
48. Van Dorsten, F.; Grün, C.; Van Velzen, E.; Jacobs, D.; Draijer, R.; Van Duynhoven, J. The metabolic fate of red wine and grape juice polyphenols in humans assessed by metabolomics Mol. Nutr. Food Res. 2010, 54, 897-908