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48 Abstracts / Toxicology L

ostnatal month as well as the maximum concentration reacheduring the first 14 months. Mothers enrolled in this cohort had aedian blood concentration (5–95th percentiles) of 34 (7–76), 41

7–125) and 119 (42–518) ng/g lipids for PCB-153, HCB and DDE,espectively. Median cord blood levels were slightly lower thanedian maternal levels. Infant maximum blood concentrationsere on average two-fold higher than maternal levels with median

alues (5–95th percentiles) of 66 (15–199), 72 (13–250) and 22755–1258) ng/g lipids for PCB-153, HCB and DDE, respectively. Thenfant toxicokinetic profiles simulated using PBPK modeling wille used to thoroughly investigate associations between internal

evels during different postnatal time windows and neurodevelop-ent measurements. This approach will be applied to the six other

panish longitudinal birth cohorts involved in the INMA project.

oi:10.1016/j.toxlet.2010.03.194

102-011odeling the impact of short-term variations in

rihalomethane drinking water levels on internal exposure

. Catto 1, M. Rodriguez 2, J. Lavoué 1, G. Charest-Tardif 1, R.ardif 1

Université de Montréal, Canada, 2 Université Laval à Québec,anada

he variability in trihalomethane (THM) levels in drinking wateraises the question as whether or not the short-term vari-tions (within-day) should be accounted for when assessingxposure to those contaminants suspected for carcinogenicitynd reprotoxicity. This work aims at determining the magni-ude of the impact on the predicted biological levels of THMsinternal doses) exerted by within-day variations of THMs in drink-ng water. A database, excerpted from a campaign in Quebecity’s distribution system, allowed producing 81, 79 and 64 con-entration profiles for the three most abundant THMs, namelyhloroform (TCM), dichlorobromomethane (DCBM) and dibro-ochloromethane (DBCM), respectively. Using a physiologically

ased toxicokinetic (PBTK) modeling approach, we simulated expo-ures (1,5 L water/day and a 10-min shower) based on each ofhese profiles and predicted, for 2000 individuals (Monte-Carlo),he maximum blood concentrations (Cmax), the areas under theime versus blood concentrations curve (24 h-AUCcv) and thebsorbed doses (AD). Three different hypotheses were tested:A) assuming a constant THM concentration in water (e.g., meanalue of a day); (B) accounting for within-day variations in THMevels; and (C) a worst-case scenario assuming within-day vari-tions and showering while THM levels are maximal. For eachxposure profile, exposure indicator and individual, we calculatedhe ratios of values obtained according to each hypothesis (e.g.,maxB/CmaxA and CmaxC/CmaxA) and the values corresponding tohe 5th and 95th of these ratios. The more these percentiles arelose to the value of 1, the less is the error of assuming constantHM concentrations rather than their actual variability. Resultshowed that the minimal gap between these percentiles was forCM-ADB/TCM-ADA (5th; 95th = 0.91; 1.08) whereas the maximal

as for CDBM-CmaxC/CDBM-CmaxA (5th; 95th = 0.50; 3.40). Overall,

CM and AD were the ones less affected (TCM < DCBM < DBCM andD < AUCcv < Cmax). (Supported by RRSE, FRSQ)

oi:10.1016/j.toxlet.2010.03.195

196S (2010) S37–S351

P102-012Data harmonization: Comparative study of four poison centresusing INTOX data management system software

J.C. Rios Bustamante 1, L. Fruchtengarten 2, C. Meneses 3, A.M.Lynch 4, J. Tempowski 5, M. Bettini 1, J.J. Mieres 1, A. Zucollo 2, E.Paris 1

1 Centro de Información Toxicológica de la Facultad de Medicina,Pontificia Universidad Católica de Chile, Chile, 2 Poison Control Centreof Sao Paulo, Brazil, 3 Centro de Informacion y AsesoramientoToxicológico, Ecuador, 4 Western Australian Poisons InformationCentre, Australia, 5 WHO IPCS International Programme on Safety,Geneva, Switzerland

The INTOX data management system (INTOX-DMS) is a multilin-gual data collection tool using controlled and defined terminology,developed by WHO to register cases in poison centers. The pur-pose of this study was to evaluate the usefulness of the softwareto compare data from four different centers: Poison InformationCenter of the Catholic University (CITUC), Chile; Poison ControlCentre of Sao Paulo (CCI-SP), Brazil; Centro de Información y Aseso-ramiento Toxicológico (CIATOX), Ecuador; and Western AustralianPoisons Information Centre (WAPIC). All calls received in 2008 werecompared. Data were recovered using a report tool included inthe software, or by Microsoft Access® queries (WAPIC). All cen-ters successfully produced reports on: total number and type ofcommunications, number of communications per month, casesof human exposure by agent category and circumstance, casesof human exposure by agent category, age group and gender. Intotal, there were 63,599 cases: WAPIC 30,277, CITUC 25,037, CCI-SP7807 and CIATOX 478. Adult (20–75 years) cases were distributedas follows: CITUC 42.7%, CCI-SP 37.8%, CIATOX 59.0% and WAPIC36.6%, while children younger than 5-years were: CITUC 32.3%,CCI-SP 40.7%, CIATOX 7.3% and WAPIC 47.5%. Pharmaceutical prod-ucts were the main agent involved CCI-SP (46.4%), CITUC (55.9%),WAPIC (43.8%), except for Ecuador where pesticides predominated(31.2%). Gender was evenly distributed except for Chile wherewomen comprised over 60% of exposures. These results show thatthe INTOX-DMS is a useful tool for comparative data collectionbetween different poisons centres working in different languages.In conclusion, data recovered from the INTOX-DMS from differentparts in the world could assist in creating an international toxi-covigilance network. This registry would be useful to plan global aswell as local strategies to prevent poisonings.

doi:10.1016/j.toxlet.2010.03.196

P102-013Global DNA methylation in relation to DDT exposure andgenetical susceptibility among pregnant women in Morelos,Mexico

R. Ruiz-Ramos 1, L. Torres-Sanchez 2, M. La Merrill 3, L.López-Carrillob 2, J. Chen 3, M.E. Cebrián 1

1 CINVESTAV-IPN, 2 INSP, 3 Mount Sinai School of Medicine

DNA hypermethylation is associated with gene silencing in contrastto hypomethylation that is related to gene expression; both eventsmay be induced by genetic such as one-carbon metabolic genes,

and environmental factors, such as DDT and folate. Methylenete-trahydrofolate reductase (MTHFR) is a critical enzyme in folatemetabolism and is involved in DNA methylation. Mexico has one ofthe highest prevalence of the variant allele of the MTHFR 677C > T