Abstract
This study aims to investigate the metabolic difference between male and female healthy adults using a combination of GC–MS and NMR metabolomics techniques. While metabolomics has shown wide applications in characterizing the status and progression of many diseases, physiological factors such as gender often contribute high levels of variability that can hinder the detection of biomarkers of interest, such as in disease detection. We carried out a detailed exploration of gender related metabolic profiling of human urine using a Headspace-SPME/GC–MS approach and detected over two hundred peaks. Fifty-nine metabolites were identified using the NIST library. 1H NMR spectroscopy was also utilized, and resulted in the identification of eighteen metabolites. We find that both GC–MS and NMR are able to capture human gender metabolic differences, and their combination allows a significantly better understanding of this difference. Subtle differences between genders are found to be related to the metabolism of fats, amino acids, and TCA cycle intermediates.
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America, A. H., van Geffern, M. H., et al. (2006). Alignment and statistical difference analysis of complex peptide data sets generated by multidimensional LC-MS. Proteomics, 6(2), 641–653.
Arthur, C. L., & Pawliszyn, J. (1990). Solid-phase microextraction with thermal-desorption using fused-silica optical fibers. Analytical Chemistry, 62(19), 2145–2148.
Asiago, V. M., Alvarado, L. Z., et al. (2010). Early detection of recurrent breast cancer using metabolite profiling. Cancer Research, 70(21), 8309–8318.
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B, 57, 289–300.
Blaak, E. (2001). Gender differences in fat metabolism. Current Opinion in Clinical Nutrition and Metabolic Care, 4(6), 499–502.
Canto, J. G., Shlipak, M. G., et al. (2000). Prevalence, clinical characteristics, and mortality among patients with myocardial infarction presenting without chest pain. JAMA, 283(24), 3223–3229.
Chan, E. C. Y., Koh, P. K., et al. (2009). Metabolic profiling of human colorectal cancer using high-resolution magic angle spinning nuclear magnetic resonance (HR-MAS NMR) spectroscopy and gas chromatography mass spectrometry (GC/MS). Journal of Proteome Research, 8(1), 352–361.
Coen, M., Holmes, E., et al. (2008). NMR-based metabolic profiling and metabonomic approaches to problems in molecular toxicology. Chemical Research in Toxicology, 21(1), 9–27.
Dalgaard, P. (2002). Introductory statistics with R. Berlin: Springer-Verlag.
Ditscheid, B., Keller, S., et al. (2009). Faecal steroid excretion in humans is affected by calcium supplementation and shows gender-specific differences. European Journal of Nutrition, 48(1), 22–30.
Djurendic-Brenesel, M., Mimica-Dukic, N., et al. (2010). Gender-related differences in the pharmacokinetics of opiates. Forensic Science International, 194(1–3), 28–33.
Ferraro, R., Lillioja, S., et al. (1992). Lower sedentary metabolic rate in women compared with men. Journal of Clinical Investigation, 90(3), 780–784.
Franklin, R. B., Kahng, M. W., et al. (1986). The effect of testosterone on citrate synthesis and citrate oxidation and a proposed mechanism for regulation of net citrate production in prostate. Hormone and Metabolic Research, 18(3), 177–181.
Gowda, G. A. N., Zhang, S. C., et al. (2008). Metabolomics-based methods for early disease diagnostics. Expert Review of Molecular Diagnostics, 8(5), 617–633.
Gu, H., Pan, Z., et al. (2009) 1H NMR metabolomics study of age profiling in children. NMR in Biomedicine, 22(8), 826–833.
Gu, H. W., Chen, H. W., et al. (2007). Monitoring diet effects via biofluids and their implications for metabolomics studies. Analytical Chemistry, 79(1), 89–97.
Guillen, N., Acin, S., et al. (2008). Squalene in a sex-dependent manner modulates atherosclerotic lesion which correlates with hepatic fat content in apoE-knockout male mice. Atherosclerosis, 197(1), 72–83.
Hines, A., Yeung, W. H., et al. (2007). Comparison of histological, genetic, metabolomics, and lipid-based methods for sex determination in marine mussels. Analytical Biochemistry, 369(2), 175–186.
Hodson, M. P., Dear, G. J., et al. (2007). A gender-specific discriminator in Sprague-Dawley rat urine: the deployment of a metabolic profiling strategy for biomarker discovery and identification. Analytical Biochemistry, 362(2), 182–192.
Jia, C. R., Luo, Y. Z., et al. (1998). Solid phase microextraction combined with HPLC for determination of metal ions using crown ether as selective extracting reagent. Journal of Microcolumn Separations, 10(2), 167–173.
Jones, A. W. (2007). Age- and gender-related differences in blood amphetamine concentrations in apprehended drivers: lack of association with clinical evidence of impairment. Addiction, 102(7), 1085–1091.
Jones, A. W., Holmgren, A., et al. (2008). Driving under the influence of cannabis: a 10-year study of age and gender differences in the concentrations of tetrahydrocannabinol in blood. Addiction, 103(3), 452–461.
Kanehisa, M. (1997). A database for post-genome analysis. Trends in Genetics, 13(9), 375–376.
Kennedy, A., Gettys, T. W., et al. (1997). The metabolic significance of leptin in humans: Gender-based differences in relationship to adiposity, insulin sensitivity, and energy expenditure. Journal of Clinical Endocrinology and Metabolism, 82(4), 1293–1300.
Kochhar, S., Jacobs, D. M., et al. (2006). Probing gender-specific metabolism differences in humans by nuclear magnetic resonance-based metabonomics. Analytical Biochemistry, 352(2), 274–281.
Krisko, I., & Walker, J. B. (1966). Influence of sex hormones of amidinotransferase levels. metabolic control of creatine biosynthesis. Acta Endocrinologica, 53(4), 655.
Lawton, K. A., Berger, A., et al. (2008). Analysis of the adult human plasma metabolome. Pharmacogenomics, 9(4), 383–397.
Lindon, J. C., Holmes, E., et al. (2007). Metabonomics in pharmaceutical R & D. FEBS Journal, 274(5), 1140–1151.
Lindon, J. C., Nicholson, J. K., et al. (1999). NMR spectroscopy of biofluids. In G. A. Webb (Ed.), Annual Reports on NMR Spectroscopy (Vol. 38, pp. 1–88). Academic Press: London.
Lostroh, A. J. (1968). Regulation by testosterone and insulin of citrate secretion and protein synthesis in explanted mouse prostates. Proceedings of the National Academy of Sciences of the United States of America, 60(4), 1312.
Lu, G., Wang, J., et al. (2006). Study on gender difference based on metabolites in urine by ultra high performance liquid chromatography time of flight mass spectrometry. Chinese Journal of Chromatography, 24(2), 109–113.
Lu, X., Zhao, X. J., et al. (2008). LC-MS-based metabonomics analysis. Journal of Chromatography B, 866(1–2), 64–76.
Mittendorfer, B., Horowitz, J. F., et al. (2002). Effect of gender on lipid kinetics during endurance exercise of moderate intensity in untrained subjects. Amerian Journal of Physiology, Endocrinology and Metabolism, 283(1), E58–E65.
Mo, H. P., Harwood, J., et al. (2009). R: A quantitative measure of NMR signal receiving efficiency. Journal of Magnetic Resonance, 200(2), 239–244.
Pan, Z. Z., & Raftery, D. (2007). Comparing and combining NMR spectroscopy and mass spectrometry in metabolomics. Analytical and Bioanalytical Chemistry, 387(2), 525–527.
Penn, D. J., Oberzaucher, E., et al. (2007). Individual and gender fingerprints in human body odour. Journal of the Royal Society Interface, 4(13), 331–340.
Plumb, R., Granger, J., et al. (2003). Metabonomic analysis of mouse urine by liquid-chromatography-time of flight mass spectrometry (LC-TOFMS): detection of strain, diurnal and gender differences. Analyst, 128(7), 819–823.
Plumb, R. S., Granger, J. H., et al. (2005). A rapid screening approach to metabonomics using UPLC and oa-TOF mass spectrometry: application to age, gender and diurnal variation in normal/Zucker obese rats and black, white and nude mice. Analyst, 130(6), 844–849.
Priego, T., Sánchez, J., Picó, C., & Palou, A. (2008). Sex-differential expression of metabolism-related genes in response to a high-fat diet. Obesity, 16(4), 819–826.
Proteggente, A. R., England, T. G., et al. (2002). Gender differences in steady-state levels of oxidative damage to DNA in healthy individuals. Free Radical Research, 36(2), 157–162.
Psihogios, N. G., Gazi, I. F., et al. (2008). Gender-related and age-related urinalysis of healthy subjects by NMR-based metabonomics. NMR in Biomedicine, 21(3), 195–207.
Rezzi, S., Ramadan, Z., et al. (2007). Nutritional metabonomics: Applications and perspectives. Journal of Proteome Research, 6(2), 513–525.
Slupsky, C. M., Rankin, K. N., et al. (2007). Investigations of the effects of gender, diurnal variation, and age in human urinary metabolomic profiles. Analytical Chemistry, 79(18), 6995–7004.
Sreekumar, A., Poisson, L. M., et al. (2009). Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression. Nature, 457(7231), 910–914.
Taylor, R. W., Gold, E., et al. (1997). Gender differences in body fat content are present well before puberty. International Journal of Obesity, 21(11), 1082–1084.
Teul, J., Ruperez, F. J., et al. (2009). Improving metabolite knowledge in stable atherosclerosis patients by association and correlation of GC-MS and 1H NMR fingerprints. Journal of Proteome Research, 8(12), 5580–5589.
Tikunov, Y., Lommen, A., et al. (2005). A novel approach for nontargeted data analysis for metabolomics. Large-scale profiling of tomato fruit volatiles. Plant Physiology, 139(3), 1125–1137.
Viant, M. R., Bearden, D. W., et al. (2009). International NMR-based environmental metabolomics intercomparison exercise. Environmental Science and Technology, 43(1), 219–225.
Wikoff, W. R., Pendyala, G., et al. (2008). Metabolomic analysis of the cerebrospinal fluid reveals changes in phospholipase expression in the CNS of SIV-infected macaques. Journal of Clinical Investigation, 118(7), 2661–2669.
Wishart, D. S., Tzur, D., et al. (2007). HMDB: The human metabolome database. Nucleic Acids Research, 35, D521–D526.
Zhang, S., Gowda, G. A. N., et al. (2010). Advances in NMR-based biofluid analysis and metabolite profiling. Analyst, 135(7), 1490–1498.
Zhang, S. C., Nagana Gowda, G. A., et al. (2008). Correlative and quantitative 1H NMR-based metabolomics reveals specific metabolic pathway disturbances in diabetic rats. Analytical Biochemistry, 383(1), 76–84.
Zhu, Y. F., & Evans, M. I. (2001). Estrogen modulates the expression of l-arginine:glycine amidinotransferase in chick liver. Molecular and Cellular Biochemistry, 221(1–2), 139–145.
Acknowledgments
This work was supported by Purdue University. Daniel Raftery is a member of the Purdue Center for Cancer Research and Oncological Sciences Center. The authors thank all the volunteers who contributed their urine samples. Loan of GC–MS instrumentation from the Center for Authentic Science Practice in Education, Discovery Learning Center is gratefully acknowledged.
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Zhang, S., Liu, L., Steffen, D. et al. Metabolic profiling of gender: Headspace-SPME/GC–MS and 1H NMR analysis of urine. Metabolomics 8, 323–334 (2012). https://doi.org/10.1007/s11306-011-0315-2
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DOI: https://doi.org/10.1007/s11306-011-0315-2