BACKGROUND: There is no comprehensive analytical technique to analyze N-acetylated metabolites in urine. Many of these compounds are involved in inborn errors of metabolism. In the present study, we examined the potential of proton nuclear magnetic resonance ((1)H-NMR) spectroscopy as a tool to identify and quantify N-acetylated metabolites in urine of patients with various inborn errors of metabolism. METHODS: We performed (1)H-NMR spectroscopy on a 500 MHz spectrometer. Using a combination of one- and two-dimensional correlation spectroscopy (COSY) (1)H-NMR spectra, we were able to assign and quantify resonances of characteristic N-acetylated compounds products in urine of patients with 13 inborn errors of metabolism. RESULTS: The disease-specific N-acetylated metabolites were excreted at concentrations >100 micromol/mmol of creatinine in the patients' urine. In control urine samples, the concentration of individual N-acetyl-containing compounds was <40 micromol/mmol of creatinine. The combination of one- and two-dimensional COSY NMR spectroscopy led to the correct diagnosis of nine different inborn errors of metabolism. No abnormalities were observed in the spectra of urine from patients with G(M1)- or G(M2)-gangliosidosis. We also determined the (1)H-NMR characteristics of N-acetylated metabolites that may be relevant to human metabolism. CONCLUSION: (1)H-NMR spectroscopy may be used to identify and quantify N-acetylated metabolites of diagnostic importance for the field of inborn errors of metabolism.
BACKGROUND: There is no comprehensive analytical technique to analyze N-acetylated metabolites in urine. Many of these compounds are involved in inborn errors of metabolism. In the present study, we examined the potential of proton nuclear magnetic resonance ((1)H-NMR) spectroscopy as a tool to identify and quantify N-acetylated metabolites in urine of patients with various inborn errors of metabolism. METHODS: We performed (1)H-NMR spectroscopy on a 500 MHz spectrometer. Using a combination of one- and two-dimensional correlation spectroscopy (COSY) (1)H-NMR spectra, we were able to assign and quantify resonances of characteristic N-acetylated compounds products in urine of patients with 13 inborn errors of metabolism. RESULTS: The disease-specific N-acetylated metabolites were excreted at concentrations >100 micromol/mmol of creatinine in the patients' urine. In control urine samples, the concentration of individual N-acetyl-containing compounds was <40 micromol/mmol of creatinine. The combination of one- and two-dimensional COSY NMR spectroscopy led to the correct diagnosis of nine different inborn errors of metabolism. No abnormalities were observed in the spectra of urine from patients with G(M1)- or G(M2)-gangliosidosis. We also determined the (1)H-NMR characteristics of N-acetylated metabolites that may be relevant to human metabolism. CONCLUSION: (1)H-NMR spectroscopy may be used to identify and quantify N-acetylated metabolites of diagnostic importance for the field of inborn errors of metabolism.
Authors: F Mochel; F Sedel; A Vanderver; U F H Engelke; J Barritault; B Z Yang; B Kulkarni; D R Adams; F Clot; J H Ding; C R Kaneski; F W Verheijen; B W Smits; F Seguin; A Brice; M T Vanier; M Huizing; R Schiffmann; A Durr; R A Wevers Journal: Brain Date: 2009-01-19 Impact factor: 13.501
Authors: Fanny Mochel; Bingzhi Yang; Julie Barritault; Jerry N Thompson; Udo F H Engelke; Nathan H McNeill; William S Benko; Christine R Kaneski; David R Adams; Maria Tsokos; Mones Abu-Asab; Marjan Huizing; Francois Seguin; Ron A Wevers; Jiahuan Ding; Frans W Verheijen; Raphael Schiffmann Journal: Ann Neurol Date: 2009-06 Impact factor: 10.422
Authors: Narasimhamurthy Shanaiah; M Aruni Desilva; G A Nagana Gowda; Michael A Raftery; Bryan E Hainline; Daniel Raftery Journal: Proc Natl Acad Sci U S A Date: 2007-07-02 Impact factor: 11.205
Authors: Illa Tea; Gwénaëlle Le Gall; Alice Küster; Nadia Guignard; Marie-Cécile Alexandre-Gouabau; Dominique Darmaun; Richard J Robins Journal: PLoS One Date: 2012-01-23 Impact factor: 3.240
Authors: Souhaila Bouatra; Farid Aziat; Rupasri Mandal; An Chi Guo; Michael R Wilson; Craig Knox; Trent C Bjorndahl; Ramanarayan Krishnamurthy; Fozia Saleem; Philip Liu; Zerihun T Dame; Jenna Poelzer; Jessica Huynh; Faizath S Yallou; Nick Psychogios; Edison Dong; Ralf Bogumil; Cornelia Roehring; David S Wishart Journal: PLoS One Date: 2013-09-04 Impact factor: 3.240