Determination of Ethyl Glucuronide in Hair for Detection of Alcohol Consumption in Patients After Liver Transplantation

2015 ◽  
Vol 37 (4) ◽  
pp. 539-545 ◽  
Author(s):  
Hilke Andresen-Streichert ◽  
Gregor von Rothkirch ◽  
Eik Vettorazzi ◽  
Alexander Mueller ◽  
Ansgar W. Lohse ◽  
...  
2019 ◽  
Vol 26 (1) ◽  
pp. 177-196 ◽  
Author(s):  
Mateusz Kacper Woźniak ◽  
Marek Wiergowski ◽  
Jacek Namieśnik ◽  
Marek Biziuk

Background:Ethyl alcohol is the most popular legal drug, but its excessive consumption causes social problems. Despite many public campaigns against alcohol use, car accidents, instances of aggressive behaviour, sexual assaults and deterioration in labor productivity caused by inebriated people is still commonplace. Fast and easy diagnosis of alcohol consumption is required in order to introduce proper and effective therapy, and is crucial in forensic toxicology analysis. The easiest method to prove alcohol intake is determination of ethanol in body fluids or in breath. However, since ethanol is rapidly metabolized in the human organism, only recent consumption can be detected using this method. Because of that, the determination of alcohol biomarkers was introduced for monitoring alcohol consumption over a wider range of time.Objective:The objective of this study was to review published studies focusing on the sample preparation methods and chromatographic or biochemical techniques for the determination of alcohol biomarkers in whole blood, plasma, serum and urine.Methods:An electronic literature search was performed to discuss possibilities and limitations of application of alcohol biomarkers in toxicological analysis.Results:Authors described the markers of alcohol consumption such as: ethanol, its nonoxidative metabolites (ethyl glucuronide, ethyl sulfate, phosphatidylethanol, ethyl phosphate, fatty acid ethyl esters) and oxidative metabolites (acetaldehyde and acetaldehyde adducts). We also discussed issues concerning the detection window of these biomarkers, and possibilities and limitations of their use in routine analytical toxicology for monitoring alcohol consumption or sobriety during alcohol therapy.


2007 ◽  
Vol 13 (5) ◽  
pp. 757-761 ◽  
Author(s):  
Yesim Erim ◽  
Michael Böttcher ◽  
Uta Dahmen ◽  
Olof Beck ◽  
Christoph E. Broelsch ◽  
...  

2015 ◽  
Vol 69 (12) ◽  
Author(s):  
Beril Anilanmert ◽  
Ali Acar Özdemir ◽  
Muhammet Aydin ◽  
Meral Akgül ◽  
Salih Cengiz

AbstractEthyl glucuronide (EtG) is a metabolite and a specific marker of alcohol consumption that can be detected days after the complete elimination of alcohol after drinking. A rapid, simple, and sensitive LC-ESI-MS/MS method for the determination of urinary ethyl glucuronide was developed and fully validated in accordance with analytical standards, using the C


Hepatology ◽  
2011 ◽  
Vol 54 (5) ◽  
pp. 1640-1649 ◽  
Author(s):  
Katharina Staufer ◽  
Hilke Andresen ◽  
Eik Vettorazzi ◽  
Niels Tobias ◽  
Bjoern Nashan ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1993
Author(s):  
Fernando Pérez-Sanz ◽  
Miriam Riquelme-Pérez ◽  
Enrique Martínez-Barba ◽  
Jesús de la Peña-Moral ◽  
Alejandro Salazar Nicolás ◽  
...  

Liver transplantation is the only curative treatment option in patients diagnosed with end-stage liver disease. The low availability of organs demands an accurate selection procedure based on histological analysis, in order to evaluate the allograft. This assessment, traditionally carried out by a pathologist, is not exempt from subjectivity. In this sense, new tools based on machine learning and artificial vision are continuously being developed for the analysis of medical images of different typologies. Accordingly, in this work, we develop a computer vision-based application for the fast and automatic objective quantification of macrovesicular steatosis in histopathological liver section slides stained with Sudan stain. For this purpose, digital microscopy images were used to obtain thousands of feature vectors based on the RGB and CIE L*a*b* pixel values. These vectors, under a supervised process, were labelled as fat vacuole or non-fat vacuole, and a set of classifiers based on different algorithms were trained, accordingly. The results obtained showed an overall high accuracy for all classifiers (>0.99) with a sensitivity between 0.844 and 1, together with a specificity >0.99. In relation to their speed when classifying images, KNN and Naïve Bayes were substantially faster than other classification algorithms. Sudan stain is a convenient technique for evaluating ME in pre-transplant liver biopsies, providing reliable contrast and facilitating fast and accurate quantification through the machine learning algorithms tested.


2021 ◽  
Vol 413 (11) ◽  
pp. 3093-3105
Author(s):  
Mateusz Kacper Woźniak ◽  
Laura Banaszkiewicz ◽  
Justyna Aszyk ◽  
Marek Wiergowski ◽  
Iwona Jańczewska ◽  
...  

AbstractAlcohol consumption during pregnancy constitutes one of the leading preventable causes of birth defects and neurodevelopmental disorders in the exposed children. Fatty acid ethyl esters (FAEEs), ethyl glucuronide (EtG) and ethyl sulfate (EtS) have been studied as potential biomarkers of alcohol consumption. However, most analytical approaches proposed for their analysis in meconium samples consist of separated extraction procedures requiring the use of two meconium aliquots, which is costly in terms of both time and materials. Therefore, the aim of this study was to develop and validate a method for the simultaneous extraction of 9 FAEEs, EtG and EtS from one meconium aliquot. The sample was homogenized using methanol, and then FAEEs were extracted with hexane while EtG and EtS were isolated using acetonitrile. Then, extracts were applied to solid-phase extraction columns and analysed by gas chromatography mass spectrometry (FAEEs) and liquid chromatography tandem mass spectrometry (EtG and EtS). Calibration curves were linear with r values greater than 0.99. The LODs ranged from 0.8 to 7.5 ng/g for FAEEs and were 0.2 ng/g and 0.8 ng/g for EtS and EtG, respectively. LOQs ranged from 5 to 25 ng/g for FAEEs and were 1 ng/g and 2.5 ng/g for EtS and EtG, respectively. Accuracies and precisions were between 93.8 and 107% and between 3.5 and 9.7%, respectively. The recovery values ranged from 89.1 to 109%. The method proved to be sensitive, specific, simple and fast and allowed for the reduction of the amount of organic solvent used for extraction compared to other published data while higher recoveries were obtained. The method was used for analysis of meconium samples in two cases of mothers who were consuming alcohol during pregnancy.


2012 ◽  
Vol 57 (2) ◽  
pp. 306-312 ◽  
Author(s):  
Stéphanie Faure ◽  
Astrid Herrero ◽  
Boris Jung ◽  
Yohan Duny ◽  
Jean-Pierre Daures ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document