Abstract :
[en] Many in vitro or in vivo studies highlighted the potential deleterious effects of phenolic organohalogenated compounds
(POHs) on the health, particularly on the thyroid system homeostasis, however few large scale human
epidemiological studies have been carried out, especially in Europe. Further studies monitoring the human
contamination by POHs, the sources of exposure and the influence of these compounds on thyroid health
are still needed. Therefore we determined the concentrations of 16 POHs (pentachlorophenol (PCP),
tetrabromobisphenol A (TBBPA), 4 bromophenols (BPs), 3 hydroxy-polybromodiphenylethers (OH-PBDEs)
and 7 hydroxy-polychlorobiphenyls (OH-PCBs)) in serum from 274 people aged from 18 to 76 years old living
in Liege (Belgium) and the surrounding area. A questionnaire about their alimentary habits, life style and
home environment was also administered to the volunteers. The predominant compound measured in the population
was PCP (median concentration of 593.0 pg mL−1). 4-OH-CB 107, 4-OH-CB 146 and 4-OH-CB 187 were
detected in all samples and contributed for 75% of the sum of OH-PCBs (ΣOH-PCBs). The median measured in
our population for ΣOH-PCBs was 143.7 pg mL−1. TBBPA and 2,4,6-tribromophenol were detected in 31% and
63.8% of the samples respectively while the detection frequency observed for the other BPs and the OH-PBDEs
was close to zero. We computed multivariate regression models in order to assess the influence of demographic
and lifestyle parameters on the PCP and ΣOH-PCBs contamination levels. Significant correlation was found between
the PCP concentration and sex, smoker status, sea fish consumption and level of education, although the
model seemed to be a poor (R2 = 0.14) predictor of the PCP concentration. The model computed for ΣOHPCBs
was more explanatory (R2 = 0.61) and involved age, BMI and sea fish consumption. Finally, we assessed the parameters affecting the ΣOH-PCBs/ΣPCBs ratio. The model proposed involved age, BMI, smoker status and
parent PCB level, and explained 41% of the variability of the ΣOH-PCBs/ΣPCBs ratio.
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