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, Maria E. Zanolin

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Article numbere0206176
JournalPLoS One
Issue number10
Publication statusPublished - Oct 1 2018

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)


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