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Multicellular Human Alveolar Model Composed of Epithelial Cells and Primary Immune Cells for Hazard Assessment
Published on: May 6, 2020
Predicting Human Aluminium Exposure from Vaccinations Using a Physiologically-Based Toxicokinetic Model
Karin Weisser1, Niklas Hartung2, Gaby Wangorsch1
1Division Safety of Biomedicines and Diagnostics, Paul-Ehrlich-Institut (Federal Institute for Vaccines and Biomedicines), Paul-Ehrlich-Straße 7, 63225 Langen, Germany.
None:
Background/Objectives: Poorly soluble aluminium (Al) compounds have successfully been used for decades as adjuvants in vaccines, enabling an effective immune response. Yet the safety of Al exposure from vaccines is consistently questioned, especially regarding infants. Since toxicokinetic data of aluminium after vaccination in humans are not available, model-informed predictions are needed for risk assessment. Methods: Using a physiologically-based toxicokinetic model, we predicted the Al exposure from i.m. injections of Al-adjuvanted vaccines for full-term neonates to 50-year-old adults following the recommended vaccination schedule in Germany 2025 in addition to the continuous oral background Al exposure from dietary intake. Results: During the first two years of life, moderate (max. 2-to-3-fold) but transient increases of Al concentrations in plasma and in the relevant target organs liver and bone due to vaccinations were predicted. Increase in brain Al content was 4%. Most importantly, in all tissues, maximum Al levels did not exceed normal levels observed in infants soon after birth or known from adults. In children and adults, the rise in Al concentrations in plasma and tissues due to single vaccinations was marginal. The calculated contribution of vaccinations to the Al body burden at age 50 was negligible. Conclusions: From a toxicokinetic perspective, the additional Al exposure in full-term infants, children and adults from vaccinations with Al-adjuvanted vaccines according to the current recommended schedules is considered safe. The model has proven a valuable tool for predictions of Al exposure from vaccinations.
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