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

Chamitava, Liliya, Garcia-Larsen, Vanessa, Cazzoletti, Lucia, Degan, Paolo, Pasini, Andrea, Bellisario, Valeria, Corsico, Angelo G., Nicolis, Morena, Olivieri, Mario, Pirina, Pietro, Ferrari, Marcello, Stasinopoulos, Mikis D. and Zanolin, Maria E. (2018) Determination of adjusted reference intervals of urinary biomarkers of oxidative stress in healthy adults using GAMLSS models. PloS one, 13 (10). ISSN 1932-6203

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Abstract / Description

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.

Item Type: Article
Additional Information: ** From PubMed via Jisc Publications Router.
Uncontrolled Keywords: urinary biomarkers of oxidative stress; Generalized additive models for location, scale and shape (GAMLSS)
Subjects: 500 Natural Sciences and Mathematics > 510 Mathematics
600 Technology > 610 Medicine & health
Department: School of Computing and Digital Media
SWORD Depositor: Pub Router
Depositing User: Pub Router
Date Deposited: 23 Nov 2018 11:25
Last Modified: 23 Nov 2018 11:25
URI: http://repository.londonmet.ac.uk/id/eprint/3775

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