Determination of adjusted reference intervals of urinary biomarkers of oxidative stress in healthy adults using GAMLSS models

Liliya Chamitava, Vanessa Garcia-Larsen, Lucia Cazzoletti, Paolo Degan, Andrea Pasini, Valeria Bellisario, Angelo G Corsico, Morena Nicolis, Mario Olivieri, Pietro Pirina, Marcello Ferrari, Mikis D Stasinopoulos and Maria E Zanolin

PLOS ONE, 2018, vol. 13, issue 10, 1-11

Abstract: In this study we aimed at identifying main demographic, laboratory and environmental factors influencing the level of urinary biomarkers (DNA-derived 8-oxodG and lipid membrane-derived 8-isoprostane), and deriving their adjusted 95% reference intervals (RI) in a sample of healthy people from the general population. Data from 281 healthy subjects from the Gene Environment Interactions in Respiratory Diseases survey were used in this study. Generalized additive models for location, scale and shape (GAMLSS) were used to find determinants of the biomarkers among gender, age, season and distance from collection (DFC), and to predict their RI. The RI of the biomarkers stratified by season and adjusted for DFC showed a slight statistically significant decrease in the biomarkers at the increasing DFC in two seasons, except the 8-oxodG during the warm season: median levels at the min and max values of DFC were (ng/mgcreat) 7.0–1.1 in the cold and 3.9–3.9 in the warm seasons for 8-oxodG, 0.7–0.2 in the cold and 1.3–0.6 in the warm seasons for 8-isoprostane. Both the biomarkers should be evaluated in association with the DFC and season in large epidemiological studies. The (semi)parametric GAMLSS method is a useful and flexible technique, which makes it possible to estimate adjusted RI.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0206176

DOI: 10.1371/journal.pone.0206176

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