BEGIN:VCALENDAR VERSION:2.0 PRODID:-//jEvents 2.0 for Joomla//EN CALSCALE:GREGORIAN METHOD:PUBLISH BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:35190410a9e752d8e006bcf5b901e6e14 CATEGORIES:Webinar SUMMARY:June ASCCT-ESTIV Webinar: PARC Consortium and Human Biomonitoring DESCRIPTION:
P resenters:
Greet Schoeters, PhD, University of Antwerp, Department of Biomedical Sciences & Toxicological Centre< br />Mirjam Luitjen, PhD, RIVM, EPAA Workgroup
P lease see below for our presenters' abstracts. Recordings and other materia ls from this webinar will be posted on the ASCCT webinar archive shortly after the web inar's close.
Human biomonitoring to support risk assessment and chemical polic ies in Europe: result s from HBM4EU
Presented by Greta Schoeters, PhD< /span>
Result s displayed the heterogeneity of internal chemical exposure of European res idents: geographically, according to the age group, according to the sampli ng period, according to the educational level of study participants. The levels of some substances in the human body of the European population are still so high that adverse health effects cannot be excluded according to current knowledge.
HBM4EU produced da ta that can serve as a baseline to evaluate the success of the measures tak en to operationalise the Chemicals Strategy for Sustainability and the Zero Pollution Agenda in the frame of the European Green Deal, it signaled upcoming subs tances that are present in the body. HBM4EU demonst rated that not only regulations but clear strategies are needed to prevent further p ollution on the human body.
Human biomonitoring for the identification of real-life chemical mixtures
Presented by Mirjam Luijten, PhD
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Human biomonitoring (HBM) approaches are valuable for chemical risk assessment, since they allow for measurements of chemicals or their metabolites directly in human tissues or fluids a nd hence aggregates chemical exposure from different sources and intake routes. As such, HBM data are also highly valuable for mixture risk a ssessment. Network analysis applied to HBM data may pro vide insight into real -life mixtures by visualizing chemical exposure patterns. The identificatio n of groups of more densely correlated biomarkers, so-called "communities", within these networks highlights which combination of substances should be considered in terms of real-life mixtures to which a population is exposed . We applied network analyses to HBM datasets from four different countries. Our approach demonstrates that network analysis applied to HBM data of highly varying origin provides useful information with regards to the existence of groups of biomarkers that are densely correlated. The next questions are whether the combined body burden of multiple chemicals is of potential health concern. If so, subsequent questions are which chemicals and which co-occurrence patterns are dr iving the potential health risks. To address this, we developed a biomonitoring hazard index. Our analysis rev ealed that this biolog ical index method can put forward communities of co-occurrence patterns of chemicals on a population level that need further assessment in toxicology or health effects studies.
Another valuable a pproach for mixture ri sk assessment is suspe ct screening. Within HBM4EU a harmonized suspect screening approach was develope d, aimed at the identification of new exposu re biomarkers < span class="NormalTextRun SCXW40813149 BCX9">for pesticides. This approach was used in a suspect-screening based study to describe the probab ility of (concomitant) exposure to a set of pesticide profiles in five Euro pean countries We explored whether living in an agricultural area (compared to living in a peri-urban area), being a a child (compared to being an adult), and the season in which the urine sampl e was collected had an impact on the probability of detection of pesticides . Forty pesticide biomarkers relating to 29 pesticides were identified at high levels of confidence in samples across all study sites. We observed differences in the probability of detection of a pesticide (metabolite) a mong children compared to adults, but not for area or season. This survey demonstrates the feasibility of conducting a harmonized pan-Europea n sample collection span>combined with suspect sc reening to provide insight into the presence of exposure to pesticide mixture s in the European population.
Taken together, our results from HBM4EU demonstrate the usefulness of HBM data for human h ealth risk assessment of chemical mixtures.