High resolution 1H NMR spectroscopy of biofluids, cells and tissue extracts allows rapid, non destructive analysis for a wide range of metabolites and organic compounds with minimal sample pre treatment. We have applied high resolution 1H NMR spectroscopy to investigate the biochemical effects of Cu II in two earthworm species Eisenia andrei n =78 and Lumbricus rubellus n =45 exposed under laboratory and semi field conditions respectively. The most marked metabolic response was the elevation of endogenous whole body free histidine in animals which positively correlated with increasing copper exposure and total copper burden in the semi field experiment. Histidine forms thermodynamically stable copper complexes under a wide range of physico chemical conditions and we proposed that the elevation of free histidine in response to copper challenge provides an energetically low cost detoxification mechanism. Histidine elevation may also provide a novel molecular biomarker of Cu II exposure in environmental situations.
Acetaminophen and its glucuronide, sulfate, N-acetyl-L-cysteinyl, and L-cysteinyl metabolites can be rapidly detected by 1H NMR spectroscopy of intact, untreated human urine. Study of the time course of excretion of these metabolites in five clinically normal men after ingestion of the usual 1-g therapeutic dose of the drug showed that the mean 24-h excretion of the drug and these metabolites as determined by NMR was 77.3% of the dose. Respective relative proportions of the above metabolites were 49.9%, 37.6%, 3.0%, and 9.5% (L-cysteinyl plus free drug). Excretion of some other metabolites in urine, including creatinine, citrate, hippurate, and sarcosine was measured concurrently. Excretion of creatinine and sarcosine was closely correlated.
Two-dimensional proton-proton correlated NMR spectra of concentrated urine from a subject who had ingested a 1-g dose of acetaminophen are reported. These "maps" provide a considerable simplification of the spectrum in comparison with conventional one-dimensional NMR spectra. In the present case, peaks for all the major acetaminophen metabolites, including the L-cysteinyl conjugate, can be unambiguously assigned.
Information on dietary supplements, medications, and other xenobiotics in epidemiologic surveys is usually obtained from questionnaires and is subject to recall and reporting biases. The authors used metabolite data obtained from hydrogen-1 (or proton) nuclear magnetic resonance ((1)H NMR) analysis of human urine specimens from the International Study of Macro-/Micro-Nutrients and Blood Pressure (INTERMAP Study) to validate self-reported analgesic use. Metabolic profiling of two 24-hour urine specimens per individual was carried out for 4,630 participants aged 40-59 years from 17 population samples in Japan, China, the United Kingdom, and the United States (data collection, 1996-1999). (1)H NMR-detected acetaminophen and ibuprofen use was low (∼4%) among East Asian population samples and higher (>16%) in Western population samples. In a comparison of self-reported acetaminophen and ibuprofen use with (1)H NMR-detected acetaminophen and ibuprofen metabolites among 496 participants from Chicago, Illinois, and Belfast, Northern Ireland, the overall rate of concordance was 81%-84%; the rate of underreporting was 15%-17%; and the rate of underdetection was approximately 1%. Comparison of self-reported unspecified analgesic use with (1)H NMR-detected acetaminophen and ibuprofen metabolites among 2,660 Western INTERMAP participants revealed similar levels of concordance and underreporting. Screening for urinary metabolites of acetaminophen and ibuprofen improved the accuracy of exposure information. This approach has the potential to reduce recall bias and other biases in epidemiologic studies for a range of substances, including pharmaceuticals, dietary supplements, and foods.
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