| Literature DB >> 35622642 |
Matthieu Meslin1, Claire Beausoleil1, Florence Anna Zeman2, Jean-Philippe Antignac3, Marike Kolossa-Gehring4, Christophe Rousselle1, Petra Apel4.
Abstract
Within the European Joint Programme HBM4EU, Human Biomonitoring Guidance Values (HBM-GVs) were derived for several prioritised substances. In this paper, the derivation of HBM-GVs for the general population (HBM-GVGenPop) and workers (HBM-GVworker) referring to bisphenol S (BPS) is presented. For the general population, this resulted in an estimation of the total urinary concentration of BPS of 1.0 µg/L assuming a 24 h continuous exposure to BPS. For workers, the modelling was refined in order to reflect continuous exposure during the working day, leading to a total urinary concentration of BPS of 3.0 µg/L. The usefulness for risk assessment of the HBM-GVs derived for BPS and bisphenol A (BPA) is illustrated. Risk Characterisation Ratios (RCRs) were calculated leading to a clear difference between risk assessments performed for both bisphenols, with a very low RCR regarding exposure to BPA., contrary to that obtained for BPS. This may be due to the endocrine mediated endpoints selected to derive the HBM-GVs for BPS, whereas the values calculated for BPA are based on the temporary Tolerable Daily Intake (t-TDI) from EFSA set in 2015. A comparison with the revised TDI recently opened for comments by EFSA is also discussed. Regarding the occupational field, results indicate that the risk from occupational exposure to both bisphenols cannot be disregarded.Entities:
Keywords: HBM4EU; biomarkers; bisphenol A (BPA); bisphenol S (BPS); bisphenols; endocrine disruptors; human biomonitoring (HBM); human biomonitoring guidance value (HBM-GV); internal exposure; physiologically based pharmacokinetic modelling (PBPK); risk assessment
Year: 2022 PMID: 35622642 PMCID: PMC9146466 DOI: 10.3390/toxics10050228
Source DB: PubMed Journal: Toxics ISSN: 2305-6304
Figure 1General methodology used to derive HBM-GVs as presented in Apel et al., 2020 [29].
HBM-GVs calculated for the general population for total BPA in urine.
| Key Study | Critical Effect | External Toxicity | HBM-GVGenPop | Key Study |
|---|---|---|---|---|
| Tyl et al., 2008 | Increase in relative mean kidney weight in adult males F0 | t-TDI (EFSA, 2015) | 230 µg/L | 135 µg/L |
Reported concentrations of total urinary BPA in the general population (P95) and RCR calculated using the HBM-GVGenPop recommended by HBM4EU.
| Cohorts | References | Country | Populations | P95 | HBM-GVGenPop | RCR |
|---|---|---|---|---|---|---|
| IBS | Berman et al., 2014 [ | Israel | Adults (40–59 years old) | 20.48 | 230 | 0.09 |
| GerES IV * | Becker et al., 2009 [ | Germany | Children (3–14 years old) | 14 | 135 | 0.10 |
| GerES V | Tschersich et al., 2021 [ | Germany | Children (3–5 years old) | 7.79 | 135 | 0.06 |
| Children (6–10 years old) | 5.13 | 135 | 0.04 | |||
| Children (11–13 years old) | 9.95 | 135 | 0.07 | |||
| Adolescents (14–17 years old) | 7.65 | 230 | 0.03 | |||
| 3xG | Study website [ | Belgium | Adults (20–39 years old) | 4.61 | 230 | 0.02 |
| FLEHS II | Geens et al., 2014 [ | Belgium | Adolescents (14–15 years old) | 9.6 | 230 | 0.04 |
| DEMOCOPHES | Covaci et al., 2015 [ | Belgium, Denmark, Luxembourg, Slovenia, Spain, Sweden | Mothers (<45 years old) | 11.1 | 230 | 0.05 |
| Children (5–12 years old) | 13.1 | 135 | 0.10 | |||
| Belgium | Mothers (<45 years old) | 11.6 | 230 | 0.05 | ||
| Children (5–12 years old) | 13.4 | 135 | 0.10 | |||
| Denmark | Mothers (<45 years old) | 11.5 | 230 | 0.05 | ||
| Children (5–12 years old) | 7.9 | 135 | 0.06 | |||
| Luxembourg | Mothers (<45 years old) | 7.4 | 230 | 0.03 | ||
| Children (5–12 years old) | 8.3 | 135 | 0.06 | |||
| Slovenia | Mothers (<45 years old) | 13.4 | 230 | 0.06 | ||
| Children (5–12 years old) | 18.9 | 135 | 0.14 | |||
| Spain | Mothers (<45 years old) | 12.2 | 230 | 0.05 | ||
| Children (5–12 years old) | 9.8 | 135 | 0.07 | |||
| Sweden | Mothers (<45 years old) | 5 | 230 | 0.02 | ||
| Children (5–12 years old) | 6.2 | 135 | 0.05 | |||
| PBAT | Hartmann et al., 2016 [ | Austria | Children M (6–10 years old) | 7.3 | 135 | 0.05 |
| Children F (6–10 years old) | 5.8 | 135 | 0.04 | |||
| Teenagers M (11–15 years old) | 2.7 | 230 | 0.01 | |||
| Teenagers F (11–15 years old) | 5.2 | 230 | 0.02 | |||
| Adults M (18–64 years old) | 3.6 | 230 | 0.02 | |||
| Adults F (18–64 years old) | 1.3 | 230 | 0.01 | |||
| Senior M (65–79 years old) | 1.3 | 230 | 0.01 | |||
| Senior M (65–79 years old) | 4.6 | 230 | 0.02 | |||
| HELIX ** | Haug et al., 2018 [ | France, Greece, Lithuania, Norway, Spain, United Kingdom. | Pregnant women (>18 years old) | 22 | 230 | 0.10 |
| Children (6–12 years old) | 15.7 | 135 | 0.12 | |||
| Elfe | Dereumeaux et al., 2016 [ | France | Pregnant women (>18 years old) | 5.3 | 230 | 0.02 |
| Esteban | Balicco et al., 2019 [ | France | Children (6–10 years old) | 7.3 | 135 | 0.05 |
| Adolescents (11–14 years old) | 13.7 | 230 | 0.06 | |||
| Adolescents (15–17 years old) | 6 | 230 | 0.03 | |||
| Adults M (18–74 years old) | 10 | 230 | 0.04 | |||
| Adults F (18–74 years old) | 6.9 | 230 | 0.03 | |||
| Danish-HBM | Frederiksen et al., 2014 [ | Denmark | Pregnant women (>18 years old) | 7.52 | 230 | 0.03 |
| RefLim 2011 | Porras et al., 2014 [ | Finland | Adults (22–67 years old) | 7.9 | 230 | 0.03 |
| RHEA | Myridakis et al., 2015 [ | Greece | Pregnant women | 4.7 | 230 | 0.02 |
| Children (4 years old) | 16.6 | 135 | 0.12 | |||
| INMA | Casas et al., 2013 [ | Spain | Pregnant women | 11.9 | 230 | 0.05 |
| Children (4 years old) | 12.3 | 135 | 0.09 | |||
| TH Pregnant women | Machtinger et al., 2018 [ | Israel | Pregnant women | 14.2 | 230 | 0.06 |
| SLO-CRP | Tkalec et al., 2021 [ | Slovenia | Children (6–9 years old) | 9.5 | 135 | 0.07 |
| Adolescents (11–15 years old) | 7.3 | 230 | 0.03 |
* The HBM-GV value for children was used to calculate the RCR using a protective approach. ** Conversion carried out with concentrations of 0.75 g creatinine/L for pregnant women (MacPherson et al., 2018) and 0.68 g creatinine/L for children (Lau et al., 2018).
Figure 2Estimated free BPS and glucuronidated BPS plasmatic concentrations (nmol/L) for a 70 kg adult after 24 h constant and continuous oral exposure to 0.0266 µg BPS/kg bw averaged over 24 h in the general population.
Key studies and selection of the POD for the derivation of the HBM-GVs.
| Species, Exposure Duration | Critical Endpoint | POD | References |
|---|---|---|---|
| CD-1 Mice, oral exposure, GD 9 to PND 20 | Increased number of terminal end buds in the mammary gland | LOAEL = 2 µg/kg bw/day | Kolla et al., 2018 [ |
| CD-1 Mice, oral exposure, GD 9 to GD 16 or lactation day 20 | Dose dependent increase in ductal area in the mammary gland. | Kolla et al., 2019 [ | |
| Rat, oral exposure, GD8/9 to PND20/21 | Neurobehavioral toxicity | Catanese and Vandenberg, 2017 [ |
Figure 3Estimated total urinary BPS concentration (nmol/L) for a 70 kg adult after 24 h constant and continuous oral exposure to 0.0266 µg of BPS/kg bw averaged over 24 h in the general population.
Figure 4Estimated free BPS and glucuronidated BPS plasmatic concentrations (nmol/L) for an adult of 70 kg considering an occupational scenario lasting 5 days with daily exposure from 0 h to 8 h to 0.0798 µg/kg bw and from 8 h to 24 h to 0 µg/kg bw corresponding to an exposure for the entire day (0–24 h) of 0.0266 µg/kg bw/day.
Figure 5Estimated total urinary BPS concentrations (nmol/L) for an adult of 70 kg considering an occupational scenario lasting 5 days with daily exposure from 0 h to 8 h to 0.0798 µg/kg bw and from 8 h to 24 h to 0 µg/kg bw corresponding to an exposure for the entire day (0–24 h) of 0.0266 µg/kg bw/day.
Summary of HBM data and calculated RCRs for total urinary BPS for the general population.
| Cohort | Reference | Country | Population | HBM-GVGenPop (µg/L) | P25 | P50 | P75 | P90 | P95 | RCR |
|---|---|---|---|---|---|---|---|---|---|---|
| Esteban | Balicco et al., 2019 [ | France | Adults (18–74 years old) | 1.0 | 0.14 | 0.31 | 0.80 | 2.24 | 6.33 | 6.3 |
| Adult M (18–74 years old) | 1.0 | 0.15 | 0.38 | 0.88 | 2.44 | 9.71 | 9.7 | |||
| Adult F (18–74 years old) | 1.0 | 0.13 | 0.27 | 0.72 | 2.15 | 5.39 | 5.4 | |||
| Adults (18–29 years old) | 1.0 | 0.16 | 0.44 | 0.99 | 3.38 | 7.13 | 7.1 | |||
| Adults (30–44 years old) | 1.0 | 0.17 | 0.36 | 0.91 | 3.77 | 28.93 | 28.9 | |||
| Adults (45–59 years old) | 1.0 | 0.14 | 0.29 | 0.7 | 1.97 | 3.33 | 3.3 | |||
| Adults (60–74 years old) | 1.0 | 0.10 | 0.22 | 0.66 | 1.59 | 4.11 | 4.1 | |||
| Adults F (18–49 years old) | 1.0 | 0.16 | 0.30 | 0.69 | 2.51 | 6.08 | 6.1 | |||
| Adults F (50 years and older) | 1.0 | 0.11 | 0.23 | 0.78 | 1.98 | 3.49 | 3.5 | |||
| Euromix | Husøy et al., 2019 * [ | Norway | Adults (24–72 years old) | 1.0 | 0.11 | 0.16 | 0.29 | 0.56 | 0.90 | 0.9 |
| Sakhi et al., 2018 * [ | Norway | Mothers | 1.0 | <LOQ | <LOQ | 0.26 | 0.44 | 0.59 | 0.6 | |
| Children | 1.0 | <LOD | 0.13 | 0.39 | 0.95 | 1.68 | 1.7 | |||
| TH Pregnant women | Machtinger et al., 2018 [ | Israel | Pregnant women | 1.0 | <LOD | 0.40 | 0.4 | |||
| SLO-CRP | Tkalec et al., 2021 [ | Slovenia | Children (6–9 years old) | 1.0 | 0.3 | 0.59 | 0.70 | 0.7 | ||
| Teenagers (11–15 years old) | 1.0 | <LOQ | 1 | 1.80 | 1.8 |
* P95 reported as corrected by urine specific gravity.
Summary of HBM data and calculated RCRs for total BPS for the occupational population.
| Reference | Country | Population | HBM-GVGenPop (µg/L) | P50 | P95 | RCR |
|---|---|---|---|---|---|---|
| Ndaw et al., 2018 [ | France | Professional (cashiers) | 3.0 | 2.53 | 19.9 | 6.6 |
| Professional (controls) | 3.0 | 0.67 | 12.6 | 4.2 |