Direct and indirect alcohol biomarkers data collected in hair samples - multivariate data analysis and likelihood ratio interpretation perspectives

Eugenio Alladio; Agnieszka Martyna; Alberto Salomone; Valentina Pirro; Marco Vincenti; Grzegorz Zadora

doi:10.1016/j.dib.2017.03.026

Direct and indirect alcohol biomarkers data collected in hair samples - multivariate data analysis and likelihood ratio interpretation perspectives

Data Brief. 2017 Mar 16:12:1-8. doi: 10.1016/j.dib.2017.03.026. eCollection 2017 Jun.

Authors

Eugenio Alladio^{1

2}, Agnieszka Martyna³, Alberto Salomone², Valentina Pirro⁴, Marco Vincenti^{1

2}, Grzegorz Zadora^{3

5}

Affiliations

¹ Dipartimento di Chimica, Università degli Studi di Torino, Via P. Giuria 7, 10125 Torino, Italy.
² Centro Regionale Antidoping e di Tossicologia "A. Bertinaria", Regione Gonzole 10/1, 10043 Orbassano, Torino, Italy.
³ Department of Analytical Chemistry, Chemometric Research Group, Institute of Chemistry, The University of Silesia, Szkolna 9, 40-006 Katowice, Poland.
⁴ Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, 47907 Indiana, USA.
⁵ Institute of Forensic Research, Westerplatte 9, 31-033 Krakow, Poland.

Abstract

The concentration values of direct and indirect biomarkers of ethanol consumption were detected in blood (indirect) or hair (direct) samples from a pool of 125 individuals classified as either chronic (i.e. positive) and non-chronic (i.e. negative) alcohol drinkers. These experimental values formed the dataset under examination (Table 1). Indirect biomarkers included: aspartate transferase (AST), alanine transferase (ALT), gamma-glutamyl transferase (GGT), mean corpuscular volume of the erythrocytes (MCV), carbohydrate-deficient-transferrin (CDT). The following direct biomarkers were also detected in hair: ethyl myristate (E14:0), ethyl palmitate (E16:0), ethyl stearate (E18:1), ethyl oleate (E18:0), the sum of their four concentrations (FAEEs, i.e. Fatty Acid Ethyl Esters) and ethyl glucuronide (EtG; pg/mg). Body mass index (BMI) was also collected as a potential influencing factor. Likelihood ratio (LR) approaches have been used to provide predictive models for the diagnosis of alcohol abuse, based on different combinations of direct and indirect alcohol biomarkers, as described in "Evaluation of direct and indirect ethanol biomarkers using a likelihood ratio approach to identify chronic alcohol abusers for forensic purposes" (E. Alladio, A. Martyna, A. Salomone, V. Pirro, M. Vincenti, G. Zadora, 2017) [1].

Keywords: Alcohol; Empirical cross entropy; Ethyl glucuronide; Fatty Acid Ethyl Esters; Hair analysis; Likelihood ratio; Multivariate data analysis.