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+---
+author: Christoph Helma
+date: October 12, 2022
+title: Variability of chronic rodent bioassays
+---
+
+# Content
+
+Rodent Carcinogenicity
+
+: E Gottmann, S Kramer, B Pfahringer and C Helma\
+ *Data quality in predictive toxicology: reproducibility of rodent
+ carcinogenicity experiments*\
+ Environ Health Perspect 109:509--514 (2001)\
+ <https://doi.org/10.1289/ehp.01109509>
+
+Lowest observed adverse effect level (LOAEL)
+
+: C Helma, D Vorgrimmler, D Gebele, M Gütlein, B Engeli, J Zarn,
+ B Schilter and E Lo Piparo\
+ *Modeling Chronic Toxicity: A Comparison of Experimental Variability
+ With (Q)SAR/Read-Across Predictions*\
+ Front Pharmacol 9 (2018)\
+ <https://doi.org/10.3389/fphar.2018.00413>
+
+# Carcinogenicity Data
+
+- Carcinogenic Potency Database(CPDB, Gold 1997)
+- 1,289 unique compounds
+- 2 Subsets
+ - National Toxicology Program (NTP)
+ - General literature
+- 121 common compounds in both subsets
+
+# Carcinogenicity Classification
+
+- **57%** concordant classifications (69/121 compounds, 39
+ carcinogens, 30 non-carcinogens)
+
+Rats
+: 62% concordant classifications
+
+Mice
+: 49% concordant classifications
+
+Multi species carcinogens
+: 58% concordant classifications
+
+Multi organ carcinogens:
+: 52% concordant classifications
+
+- poor reproducibility of sex, species and organ specific effects
+
+# Carcinogenicity TD50's
+
+![](fig2.png)
+
+# Carcinogenicity caveats
+
+- low sample size
+- no standardized protocols for literature data
+
+Gold et al. (1987)
+
+: - 38 compounds from the literature
+ - 93% reproducibility for rats
+ - 76% for mice
+ - 34 studies were published by the same authors (!)
+
+# LOAEL Data
+
+Chronic (\>180 days) lowest observed effect levels (LOAEL) for rats
+(Rattus norvegicus) after oral (gavage, diet, drinking water)
+administration
+
+Nestlé Database
+
+: 567 LOAEL values for 445 unique chemical structures from the
+ literature (Mazzatorta et al., 2008)
+
+Swiss Food Safety and Veterinary Office (FSVO) Database
+
+: 493 rat LOAEL values for 381 unique chemical structures from
+ pesticide evaluations (Zarn et al., 2011, 2013)
+
+ - European Food Safety Authority (EFSA) (EFSA, 2014)
+ - Joint FAO/WHO Meeting on Pesticide Residues (JMPR) (WHO, 2011)
+ - US EPA (US EPA, 2011)
+
+Combined dataset
+
+: - compounds that occur in both databases
+ - 375 LOAEL values for 155 unique chemical structures
+
+# LOAEL Variability
+
+**Both** datasets contain substances with multiple measurements
+
+![](fphar-09-00413-g003.jpg)
+
+All datasets have almost the same experimental variability (standard
+deviations: 0.56 mg/kg_bw/day (Nestlé), 0.57 mg/kg_bw/day (FSVO), 0.56
+mg/kg_bw/day (combined))
+
+# LOAEL Correlation
+
+![r\^2: 0.52, RMSE: 0.59, p-value \< 2.2e-16](fphar-09-00413-g004.jpg)
+
+As both databases contain duplicates medians were used for the
+correlation plot and statistics
+
+# LOAEL Experiments vs Predictions
+
+![](fphar-09-00413-g005.jpg)
+
+# Conclusions
+
+- Carcinogenicity classifications seem to be poorly reproducible (57%
+ concordant classifications for repeated experiments)
+
+- Experimental LOAEL values have a variablity of approximately 1.5 log
+ units (orders of magnitude)
+
+- Variability in chronic *in vivo* bioassays might be caused by
+
+ - biological complexity
+ - long term experimental conditions
+ - evaluation complexity
+ - statistical limitations (low number of animals/treatment)
+
+- Good *in-silico* models have the same accuracy as biological
+ experiments (*in-vivo* and *in-vitro*) for **compounds in their
+ applicability domain**
+
+\
+\
+<https://in-silico.ch/presentations/epa-nam-2022/>