Associations of multiple exposures to persistent toxic substances with the risk of hyperuricemia and subclinical uric acid levels in BIOAMBIENT.ES study
Metadatos
Afficher la notice complèteAuteur
Arrebola Moreno, Juan PedroEditorial
Elsevier BV
Materia
Persistent toxic substances Uric acid Hyperuricemia Metabolic disruption Human biomonitoring
Date
2019-01-05Referencia bibliográfica
Arrebola, J. P., Ramos, J. J., Bartolomé, M., Esteban, M., Huetos, O., Cañas, A. I., ... & ES, B. (2019). Associations of multiple exposures to persistent toxic substances with the risk of hyperuricemia and subclinical uric acid levels in BIOAMBIENT. ES study. Environment international, 123, 512-521.
Patrocinador
This work was funded as part of a research agreement between the Ministerio de Agricultura, Alimentación y Medioambiente, Spain and the Instituto de Salud Carlos III, Madrid , Spain (Project N_ SEG 1251/ 07, 1210/10 and 1321/15).Résumé
Hyperuricemia is becoming a serious public health issue, which is highly influenced by environmental factors,
although there is still controversial information on the potential influence of the exposure to Persistent Toxic
Substances (PTSs) in the general population. In this study we aimed to assess the association. PTS exposure with
uric acid homeostasis in a sample of the Spanish population.
Participants were recruited during 2009–2010 in all the main geographical areas of Spain. Exposure to 34
PTSs was estimated by chemical analyses of serum levels of 6 Polychlorinated Biphenyls (PCBs, n=950), 13
Organochlorine Pesticides (OCPs, n=453), 6 Perfluoroalkyl Substances (PFAs, n=755), 7 Polybrominated
Diphenyl Ethers (PBDEs, n=365), urinary Cadmium (n=926), and Lead in whole blood (n=882). The two
study outcomes were defined as the prevalence of hyperuricemia in the study population and uric acid levels, the
latter only in individuals with no previous diagnosis of hyperuricemia. Statistical analyses were performed by
means of binomial logistic regression and linear regression, and mixture effects were screened using Weighted
Quantile Sum Regression (WQS).
Serum concentrations of γ-HCH, o,p´-DDE, PCB-138, PCB-153, PFOA, and urinary Cadmium were associated
with an increased risk of hyperuricemia, while PBDE-153 showed an inverse association with the effect.
Furthermore, exposure to Cadmium, PCB-138, and to PCB-153 was positively associated with uric acid levels.
Results were consistent after lipid adjustment or standardization. WQS analyses revealed a major contribution of
PCB-153 within the PCB mixture on both the risk of hyperuricemia and uric acid levels. Sensitivity analyses were
performed by adjusting for dietary habits, fasting glucose and estimated glomerular filtration rate.
Overall, we found novel associations between human exposure to mixtures of PTSs and disturbances in uric
acid homeostasis. However, we cannot completely rule out potential residual confounding effect or reversedcausality
related to the cross-sectional design.