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7 results on '"Urine metabolite"'

1. Gas chromatography-mass spectrometry (GC/MS) reveals urine metabolites associated to light and heavy infections by Schistosoma mansoni in mice.

Author

Loyo RM, Zarate E, Barbosa CS, and Simoes-Barbosa A

Subjects
Animals, Feces parasitology, Female, Gas Chromatography-Mass Spectrometry, Mice, Mice, Inbred BALB C, Metabolomics methods, Schistosoma mansoni physiology, Schistosomiasis mansoni metabolism, Urine chemistry
Abstract

High-throughput profiling of metabolites has been used to identify metabolic changes in murine models as a response to the infection by the parasitic trematode Schistosoma. These investigations have contributed to our understanding on the pathogenesis of this tropical neglected disease, with a potential of helping diagnosis. Here, our study aimed to investigate the application of gas chromatography-mass spectrometry (GC/MS) on the profiling of urine metabolites from mice carrying infections by Schistosoma mansoni. Two larval infection doses created distinctive infection intensities in mice, whereby the heavily infected animals were found to release 25 times more eggs in faeces than lightly infected animals. Over 200 urine metabolites were identified from these animals by GC/MS, following two complementary derivatisation methods. A list of 14 individual metabolites with altered relative abundances between groups were identified. Most of the altered metabolites showed a trend of increased abundances in response to infection intensity, indicating host-specific metabolic alterations as a result of the disease. Hippurate, a metabolite which concentration is intimately modulated by the gut microbiota, was found to be highly correlated to infection intensity. Our study showed that urine metabolic profiling by GC/MS can distinguish non-infected animals from those carrying light and heavy infections by S. mansoni, revealing metabolites associated to the infection and providing insights on the pathogenesis of schistosomiasis., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Published
2021
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2. Detecting creatine excreted in the urine of swimming athletes by means of Raman spectroscopy.

Author

Moreira, Letícia Parada, Rocco, Débora Dias Ferraretto Moura, da Silva, Alexandre Galvão, Pacheco, Marcos Tadeu Tavares, Silveira, Landulfo, and Silveira, Landulfo Jr

Subjects
*RAMAN spectroscopy, *URINE, *ATHLETES, *CREATINE, *EXCRETION
Abstract

High-level sport requires analysis of athletes' metabolic conditions in order to improve the training. Raman spectroscopy can be used to assess urinary composition advantageously when compared to conventional methods of urinalysis. In this work, Raman spectroscopy has been employed to detect creatine in urine of professional swimmers before and after training compared to sedentaries. It has been collected urine samples from five swimmers before and immediately after 150 min of swimming and submitted to Raman spectroscopy (830 nm excitation, 350 mW laser power, 20 s integration time) and compared to the urine from a control group (14 sedentary subjects). The Raman spectra of urine from four swimmers after training showed peaks related to creatine at 829, 915, 1049, and 1397 cm-1, besides peaks referred to urea, creatinine, ketone bodies, and phosphate. A spectral model estimated the concentration of creatine to be from 0.26 to 0.72 g/dL in the urine of these athletes. The presence of this metabolic biomarker in the urine of some swimmers suggests a metabolic profile influenced by the diet, supplementation, individual metabolism, and the self-response to the training. Raman spectroscopy allows a rapid and reliable detection of creatine excreted in the urine of swimming athletes, which may be used to adjust the nutrition/supplementation of each individual as well as the individual response and energy consumption depending on the type and duration of the training. [ABSTRACT FROM AUTHOR]

Published
2020
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3. Individual variability in human urinary metabolites identifies age‐related, body mass index‐related, and sex‐related biomarkers

Author

Yanqing Wu, Ruili Lin, Zhang Yang, Pingrong Yang, Tianling Wang, Junquan He, Dian He, and Lei Tang

Subjects
Adult, Male, aging markers, Urinary system, Physiology, Urine, Carbohydrate metabolism, Biology, QH426-470, Urinalysis, chemistry.chemical_compound, Dehydroepiandrosterone sulfate, Metabolomics, Genetics, Humans, urine metabolite, Molecular Biology, Genetics (clinical), Acetaminophen, Dehydroepiandrosterone Sulfate, Sex related, Original Articles, Middle Aged, Metabolic pathway, CV value, chemistry, Biological Variation, Population, Original Article, Female, BMI markers, Body mass index, sex markers, Biomarkers, metabolomic
Abstract

Background Metabolites present in human urine can be influenced by individual physiological parameters (e.g., body mass index [BMI], age, and sex). Observation of altered metabolites concentrations could provide insight into underlying disease pathology, disease prognosis and diagnosis, and facilitate discovery of novel biomarkers. Methods Quantitative metabolomics analysis in the urine of 183 healthy individuals was performed based on high‐resolution liquid chromatography–mass spectrometry (LC–MS). Coefficients of variation were obtained for 109 urine metabolites of all the 183 human healthy subjects. Results Three urine metabolites (such as dehydroepiandrosterone sulfate, acetaminophen glucuronide, and p‐anisic acid) with CV183 > 0.3, for which metabolomics studies have been scarce, are considered highly variable here. We identified 30 age‐related metabolites, 18 BMI‐related metabolites, and 42 sex‐related metabolites. Among the identified metabolites, three metabolites were found to be associated with all three physiological parameters (age, BMI, and sex), which included dehydroepiandrosterone sulfate, 3‐methylcrotonylglycine and N‐acetyl‐aspartic acid. Pearson's coefficients demonstrated that some age‐, BMI‐, and sex‐related compounds are strongly correlated, suggesting that age, BMI, and sex could affect them concomitantly. Conclusion Metabolic differences between distinct physiological statuses were found to be related to several metabolic pathways (such as the caffeine metabolism, the amino acid metabolism, and the carbohydrate metabolism), and these findings may be key for the discovery of new diagnostics and treatments as well as new understandings on the mechanisms of some related diseases., Metabolites in human urine are affected by individual physiological parameters, and this study identified 30 age‐related, 18 BMI‐related, and 42 sex‐related metabolites. Among them, 3 metabolites were found to be associated with age, BMI, and sex, and the highly correlated pathways discovered based on metabolic pathway analysis may be the key to discovering new diagnosis and treatment methods.

Published
2021

4. Highly routinely reproducible alignment of 1H NMR spectral peaks of metabolites in huge sets of urines

Author

Beneduci, Amerigo, Chidichimo, Giuseppe, Dardo, Giuseppe, and Pontoni, Gabriele

Subjects
*METABOLITES, *NUCLEAR magnetic resonance spectroscopy, *URINE, *ACIDIFICATION, *MULTIVARIATE analysis, *HYDROGEN-ion concentration, *CREATININE, *PHOSPHATES
Abstract

Abstract: A method to obtain high reproducibility of 1H NMR chemical shift of peaks of biofluid metabolites, by simple acidification with HCl is evaluated. Biofluid 1H NMR analysis is indeed spoiled by a strong chemical shift dependence of metabolite peaks on parameters such as ionic strength, concentration of some earth alkali cations and, mostly, on pH of samples. The resulting chemical shift variations, as large as 0.1ppm, generate misalignments of homogeneous peaks, artifacts and misinterpretations. Reproducible alignment is essential in 1H NMR based metabonomics, where peak misalignments prevent even very wide bins (i.e., 0.04ppm, as elsewhere proposed) from being used to integrate spectral data for multivariate statistical analysis. Here is demonstrated that routine acidification with HCl to 1.2≤pH≤2.0 ensures highly reproducible peak alignment of urine 1H NMR spectra. In this respect, simple inspection of citrate peaks in the urine can be used to measure pH, as it will be extensively discussed, in that at such low pH they show no dependency on other urine components as reported at higher pH. Under these conditions, in as many as 493 urine samples, in which concentrations of Ca2+, Mg2+, K+, Na+, Cl−, phosphate, and creatinine and ionic strength measured by means of well standardized conventional procedures, showed very wide ranges, peaks align within a SD always lower than 0.002ppm, thus allowing the use of integration bins at least five times narrower than 0.04ppm. [Copyright &y& Elsevier]

Published
2011
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5. Correction to 'Elucidation of a Novel Human Urine Metabolite as a Seryl-Leucine Glycopeptide and as a Biomarker of Effective Anti-Tuberculosis Therapy'

Author

John L. Johnson, Bryna L. Fitzgerald, Sebabrata Mahapatra, Barbara Graham, Stephanus T. Malherbe, M. Nurul Islam, W. Henry Boom, John T. Belisle, Gerhard Walzl, Jill Winter, Moses Joloba, and Kristofor J. Webb

Subjects
Adult, Male, Metabolite, PET-CT, Antitubercular Agents, Urine, Pharmacology, core 1 oligosaccharide, Article, Young Adult, chemistry.chemical_compound, Anti tuberculosis, Leucine, Humans, Medicine, urine metabolite, prognostic biomarker, mass spectrometry, business.industry, Glycopeptides, treatment response, Middle Aged, Glycopeptide, glycopeptide, Infectious Diseases, chemistry, tuberculosis, Biomarker (medicine), Female, Drug Monitoring, business, Biomarkers
Abstract

The evaluation of new tuberculosis (TB) therapies is limited by the paucity of biomarkers to monitor treatment response. Previous work detected an uncharacterized urine metabolite with a molecular mass of 874.3547 Da that showed promise as a biomarker for successful TB treatment. Using mass spectrometry combined with enzymatic digestions, the metabolite was structurally characterized as a seryl-leucine core 1 O-glycosylated peptide (SLC1G) of human origin. Examination of SLC1G in urine revealed a significant abundance increase in individuals with active TB versus their household contacts and healthy controls. Moreover, differential decreases in SLC1G levels were observed by week one in TB patients during successful treatment versus those that failed treatment. The SLC1G levels were also associated with clinical parameters used to measure bacterial burden (GeneXpert) and inflammation (positron emission tomography-computed tomography (PET-CT)). These results demonstrate the importance of metabolite identification and provide strong evidence for applying SLC1G as a biomarker of TB treatment response.

Published
2019

6. Pyrethroid Pesticide Metabolite in Urine and Microelements in Hair of Children Affected by Autism Spectrum Disorders: A Preliminary Investigation

Author

Marina Marini, Provvidenza Maria Abruzzo, Alessandro Ghezzo, Paola Visconti, Gerardo Rossi, Marco Piangerelli, Rosita Gabbianelli, Luísa Correia-Sá, Marcello Giustozzi, Valentina F. Domingues, Cinzia Nasuti, Domingues, Valentina F., Nasuti, Cinzia, Piangerelli, Marco, Correia Sá, Luísa, Ghezzo, Alessandro, Marini, Marina, Abruzzo, PROVVIDENZA MARIA, Visconti, Paola, Giustozzi, Marcello, Rossi, Gerardo, Gabbianelli, Rosita, and Repositório Científico do Instituto Politécnico do Porto

Subjects
Male, Chromatography, Gas, Autism Spectrum Disorder, Health, Toxicology and Mutagenesis, Metabolite, lcsh:Medicine, Physiology, Urine, 010501 environmental sciences, 01 natural sciences, behavioral disciplines and activities, Benzoates, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Statistical significance, mental disorders, Pyrethrins, medicine, hair metals and microelements, Humans, Pesticides, urine metabolites, Child, 3-phenoxybenzoic acid, 0105 earth and related environmental sciences, Principal Component Analysis, Pyrethroid, business.industry, Communication, lcsh:R, Public Health, Environmental and Occupational Health, Case-control study, medicine.disease, 3. Good health, chemistry, Autism spectrum disorder, Hair metals and microelement, Case-Control Studies, Child, Preschool, Etiology, Urine metabolites, Urine metabolite, Autism, Female, Hair metals and microelements, business, 030217 neurology & neurosurgery, Hair
Abstract

The number of children affected by Autism Spectrum Disorders (ASD) is dramatically increasing as well as the studies aimed at understanding the risk factors associated with the development of ASD. Since the etiology of ASD is partly genetic and partly environmental, factors (i.e., heavy metals, pesticides) as well as lifestyle seem to have a key role in the development of the disease. ASD and Control (CTR) children, aged 5–12 years, were compared. Gas chromatography coupled with trap mass detector was used to measure the level of 3-PBA, the main pyrethroid metabolite in urine in a group of ASD patients, while optical emission spectrometry analysis was employed to estimate the level of metals and microelements in hair in a different group of ASD children. The presence of 3-PBA in urine seems to be independent of age in ASD children, while a positive correlation between 3-PBA and age was observed in the control group of the same age range. Urine concentration of 3-BPA in ASD children had higher values than in the control group, which were marginally significant (p = 0.054). Mg results were significantly decreased in ASD with respect to controls, while V, S, Zn, and Ca/Mg were marginally increased, without reaching statistical significance. Results of Principal Component (PC) analysis of metals and microelements in hair were not associated with either age or health status. In conclusion, 3-PBA in urine and Mg in hair were changed in ASD children relative to control ones.

Published
2016

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