scholarly journals Metabolomics Approach for Validation of Self-Reported Ibuprofen and Acetaminophen Use

Metabolites ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 55
Author(s):  
Kristine Dennis ◽  
Brian Carter ◽  
Susan Gapstur ◽  
Victoria Stevens

Over-the-counter analgesic use is common and is typically assessed through self-report; therefore, it is subject to misclassification. Detection of drug metabolites in biofluids offers a viable tool for validating self-reported analgesic use. Thus, the aim of this study was to determine the utility of a metabolomics approach for the validation of acetaminophen and ibuprofen use in blood samples. Untargeted mass spectrometry-based metabolomics analysis was conducted in serum samples from 1547 women and plasma samples from 556 men. The presence of two metabolites each for acetaminophen and ibuprofen at levels at or above a defined cutoff value was used to determine concordance with self-reported use. For acetaminophen use based on the presence of both acetaminophen and acetamidophenylglucuronide, concordance was 98.5–100% among individuals reporting use today, and 79.8–91.4% for those reporting never or rare use. Ibuprofen use based on the presence of both carboxyibuprofen and hydroxyibuprofen resulted in concordance of 51.3–52.5% for individuals reporting use today and 99.4–100% for those reporting never or rare use. Our findings suggest that an untargeted metabolomics approach in blood samples may be useful for validating self-reported acetaminophen use. However, this approach appears unlikely to be suitable for validating ibuprofen use.

2005 ◽  
Vol 11 (3) ◽  
pp. 353-360 ◽  
Author(s):  
Roberta Seraglia ◽  
Susanna Vogliardi ◽  
Graziella Allegri ◽  
Stefano Comai ◽  
Mario Lise ◽  
...  

Fourteen blood samples from patients with melanomas and 11 blood samples from healthy subjects were analyzed by matrix-assisted laser desorption/ionization mass spectrometry. The study focussed on species of low molecular weight, in the 800–5000 Da range, present in plasma and sera. While for healthy subjects plasma samples lead to the production of a higher number of ionic species, for melanoma patients a high number of diagnostic ions, present with high frequency and with quite high relative abundance, are present, in particular, in serum samples and, to a lesser extent, also in plasma. Since plasma samples are obtained more easily in comparison to sera, it is possible to suggest that plasma can also be used for these studies.


2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 206-207
Author(s):  
Michael O Wellington ◽  
Michael A Bosompem ◽  
Veronika Nagl ◽  
Daniel A Columbus

Abstract Due to difficulties in obtaining consistent and/or reliable measures of deoxynivalenol (DON) in complete swine diets, we investigated whether measuring DON in biological samples could be used as an indicator of DON ingestion in pigs. In this study, graded levels of DON (1, 3, or 5 ppm) were fed to grower-finisher pigs for a period of 77-d. On d 35 and 77 of the study, urine samples were quantitatively collected over a 24-h period and blood samples were collected between 3 – 4 h after the morning meal on each of those days for serum DON analysis. For direct quantification of DON in urine, high-performance liquid chromatography with tandem mass spectrometry was performed. For serum samples, indirect quantification of DON was performed via enzymatic hydrolysis. We observed that DON content in urine increased linearly as intake of DON increased (Fig.1A; P < 0.05). Analysis of DON in serum follow a similar trend, where serum DON content was increased as DON intake increased (Fig.1B; P < 0.05). An average of 30% of DON ingested was recovered as DON in urine over a 24-h period. In summary, there was a linear relationship between DON intake and DON content in both urine and blood serum, therefore, analyzing DON concentration in serum and urine could be used as a tool to estimate for DON exposure in pigs under controlled conditions.


2005 ◽  
Vol 51 (9) ◽  
pp. 1637-1649 ◽  
Author(s):  
Rosamonde E Banks ◽  
Anthea J Stanley ◽  
David A Cairns ◽  
Jennifer H Barrett ◽  
Paul Clarke ◽  
...  

Abstract Background: Profiling approaches in proteomics, such as surface-enhanced laser desorption/ionization (SELDI) mass spectrometry, are used in disease marker discovery. The aim of this study was to investigate the potential influence of selected preanalytical factors on the results obtained. Methods: Plasma samples anticoagulated with EDTA, citrate, or heparin, and serum samples from healthy volunteers were profiled by SELDI on CM10, immobilized metal affinity capture (IMAC) array with copper, and H50 chip surfaces. Using linear mixed-effects models, we examined the influence of elapsed time between venipuncture and sample separation (immediate to 24 h) and the type of serum tube used (Greiner Vacuette activator, gel serum separator, or plain tubes). We analyzed purified platelets, as well as platelet-poor and platelet-rich plasma samples treated with calcium and/or thrombin to determine the platelet contribution, directly or via the clotting process, to the profiles generated. We then used cluster analysis to identify samples with similar peak profiles. Results: Different plasma types and sera could be distinguished on the basis of cluster analyses of their spectral profiles. Elapsed time between venipuncture and separation of plasma and serum from blood samples altered the profiles obtained, particularly for serum samples and particularly on IMAC chips. The type of serum collection tube also affected the profiles because of differences in clotting time. In vitro manipulation of platelets revealed that specific peaks in IMAC profiles of serum appeared to be derived directly from platelets. Several other peaks, including some of those exhibiting time-dependent changes, arose during the clotting process. Conclusion: Preanalytical variables, such as sample handling, can markedly influence results.


2019 ◽  
Vol 31 (5) ◽  
pp. 737-741
Author(s):  
Alexandra Hund ◽  
Armin Schaffer ◽  
Marlies Dolezal ◽  
Hermann Mascher ◽  
Thomas Wittek

Abomasal ulcers are common in cattle, especially in calves, and to date, there is no reliable antemortem method for diagnosis, to our knowledge. We assessed if measuring sucrose in blood after oral administration in calves could be used to identify animals with abomasal ulcers. Terminally ill calves ( n = 12; part A) and calves designated for slaughter ( n = 123; part B) were given a sucrose solution per os, and blood samples were taken 15, 30, 60, 90, and 120 min (part A) or 30 and 60 min (part B) after administration. The calves were then euthanized or slaughtered, and their abomasa were examined. Serum samples were analyzed using highperformance liquid chromatography-mass spectrometry, and data were analyzed using general linear mixed models. Calves both with and without affected abomasa had increasing sucrose values over time without significant differences. Also, there was no relationship between the size of the mucosal lesion and sucrose values.


Author(s):  
Isabella Brito Savieto ◽  
Alessandra Sussulini ◽  
Henrique Caracho Ribeiro ◽  
André Cunha Paiva ◽  
Leandro Wang Hantao

This work has the purpose of optimizing the analysis of serum samples by comprehensive two-dimensional gas chromatography coupled to mass spectrometry, using derivatization for sample preparation, and aiming at further application in metabolomics studies of bipolar disorder.


Cancers ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1002 ◽  
Author(s):  
Ariadna Martín-Blázquez ◽  
Cristina Jiménez-Luna ◽  
Caridad Díaz ◽  
Joaquina Martínez-Galán ◽  
Jose Prados ◽  
...  

Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive and lethal cancers, with a 5-year survival rate of less than 5%. In fact, complete surgical resection remains the only curative treatment. However, fewer than 20% of patients are candidates for surgery at the time of presentation. Hence, there is a critical need to identify diagnostic biomarkers with potential clinical utility in this pathology. In this context, metabolomics could be a powerful tool to search for new robust biomarkers. Comparative metabolomic profiling was performed in serum samples from 59 unresectable PDAC patients and 60 healthy controls. Samples were analyzed by using an untargeted metabolomics workflow based on liquid chromatography, coupled to high-resolution mass spectrometry in positive and negative electrospray ionization modes. Univariate and multivariate analysis allowed the identification of potential candidates that were significantly altered in PDAC patients. A panel of nine candidates yielded excellent diagnostic capacities. Pathway analysis revealed four altered pathways in our patients. This study shows the potential of liquid chromatography coupled to high-resolution mass spectrometry as a diagnostic tool for PDAC. Furthermore, it identified novel robust biomarkers with excellent diagnostic capacities.


1978 ◽  
Vol 24 (1) ◽  
pp. 137-139 ◽  
Author(s):  
N P Kubasik ◽  
H E Sine

Abstract We evaluated the results for serum vs. plasma samples for 15 selected radioassay procedures, using 19 manufacturers' kits. Blood samples were collected with heparin, oxalate-fluoride, or ethylenediaminetetraacetate anticoagulants and compared with serum samples. Differences were demonstrated between serum and plasma which may be of sufficient magnitude to alter clinical interpretation of the results. Assays also demonstrated significant differences based on the kit manufacturer and procedure used.


Nutrients ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 214
Author(s):  
Lukasz Szczerbinski ◽  
Gladys Wojciechowska ◽  
Adam Olichwier ◽  
Mark A. Taylor ◽  
Urszula Puchta ◽  
...  

Obesity rates among children are growing rapidly worldwide, placing massive pressure on healthcare systems. Untargeted metabolomics can expand our understanding of the pathogenesis of obesity and elucidate mechanisms related to its symptoms. However, the metabolic signatures of obesity in children have not been thoroughly investigated. Herein, we explored metabolites associated with obesity development in childhood. Untargeted metabolomic profiling was performed on fasting serum samples from 27 obese Caucasian children and adolescents and 15 sex- and age-matched normal-weight children. Three metabolomic assays were combined and yielded 726 unique identified metabolites: gas chromatography–mass spectrometry (GC–MS), hydrophilic interaction liquid chromatography coupled to mass spectrometry (HILIC LC–MS/MS), and lipidomics. Univariate and multivariate analyses showed clear discrimination between the untargeted metabolomes of obese and normal-weight children, with 162 significantly differentially expressed metabolites between groups. Children with obesity had higher concentrations of branch-chained amino acids and various lipid metabolites, including phosphatidylcholines, cholesteryl esters, triglycerides. Thus, an early manifestation of obesity pathogenesis and its metabolic consequences in the serum metabolome are correlated with altered lipid metabolism. Obesity metabolite patterns in the adult population were very similar to the metabolic signature of childhood obesity. Identified metabolites could be potential biomarkers and used to study obesity pathomechanisms.


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