FASS logotyp
Receptbelagd

Peka på symbolerna och beteckningarna till vänster för en förklaring.

Kontakt

Sök apotek med läkemedlet i lager

Sök lagerstatus

Activelle®

Novo Nordisk

Filmdragerad tablett 1 mg/0,5 mg
(vit, rund, bikonvex, 6 mm i diameter, märkt NOVO 288 på ena sidan och med en apistjur på andra sidan)

Östrogen och gestagen, kombinationspreparat - systemisk effekt

Aktiva substanser (i bokstavsordning):
ATC-kod: G03FA01
Läkemedel från Novo Nordisk omfattas av Läkemedelsförsäkringen.
  • Vad är miljöinformation?

Miljöinformation

Miljöpåverkan

Estradiol

Miljörisk: Användning av estradiol har bedömts medföra medelhög risk för miljöpåverkan.
Nedbrytning: Estradiol bryts ned långsamt i miljön.
Bioackumulering: Estradiol har låg potential att bioackumuleras.


Läs mer

Detaljerad miljöinformation

Environmental risk assessment of estrogens in pharmaceutical products marketed by Novo Nordisk in Sweden in 2020


1. 17β-estradiol and its main metabolites estrone and estriol


Environmental risk: Use of 17β-estradiol has been considered to result in a moderate environmental risk. Both 17β-estradiol and its two main metabolites estrone and estriol are considered.


Degradation: 17β-estradiol is slowly degraded in the environment.


Bioaccumulation: 17β-estradiol is assessed not to have a high potential for bioaccumulation. The two main metabolites, estrone and estriol are considered to have a low poten-tial for bioaccumulation.


PBT/vPvB: Neither 17β-estradiol nor its two main metabolites are considered to be PBT/vPvB substances.


Detailed background information


2. The active pharmaceutical ingredients (API)


17β-estradiol is used for hormone replacement therapy of women with menopause complications.


17β-estradiol is metabolized during human metabolism into the major transformation products estrone, estriol, estrone sulfate and estrone glucoronide (Ref. 31, 48, 65).


17β-estradiol, estrone and estriol are natural estrogens which belong to the class of steroid hormones. 17β-estradiol is the primary female sex hormone and estrone is the primary metabolite of 17β-estradiol.


Chemical name 17β-estradiol (E2)

CAS no. 50-28-2

Molecular formula C18H24O2

Molecular weight 272.38 g/mol


Chemical name Estrone (E1)

CAS no. 53-16-7

Molecular formula C18H22O2

Molecular weight 270.37 g/mol


Chemical name Estriol (E3)

CAS no. 50-27-1

Molecular formula C18H24O3

Molecular weight 288.38 g/mol


3. Environmental Risk classification (PEC/PNEC ratio)


3.1 Predicted Environmental Concentration (PEC)

PEC (Predicted Environmental Concentration) is calculated according to the following formula:

PEC = (A*109*(100-R))/(365*P*V*D*100) = 1.5*10-6*A*(100-R) µg/L, where


A = Total amount of API (kg) sold in Sweden in a given year. The total amount of estradiol (hemihydrate and valerat) sold in Sweden in 2020 was 20.86 kg API based on IQVIA/LIF sales data (Ref. 10). Reduction of A may be justified based on metabolism data. It can be assumed that 17β-estradiol is metabolised in the female body and excreted as 33% 17β-estradiol, 54% Estrone and 13% Estriol (Ref. 5), so A is set to:

  • 17β-estradiol: 33% of 20.86 kg = 6.88 kg

  • Estrone: 54% of 20.86 kg = 11.26 kg

  • Estriol: 13% of 20.86 kg = 2.71 kg

R = Removal rate (%) due to loss by adsorption to sludge particles, by volatilization, hydrolysis or biodegradation. R = 0 if no data is available. The removal rates are based on estimation of distribution of estrogens in a municipal wastewater treatment plant in accordance with the principles of the EU TGD (Ref. 10), and by use of the program SimpleTreat 3.0, which estimates the relative distribution of chemicals to each compartment: effluent, sludge and air. The following removal rates (R) in wastewater treatment plants are estimated (Ref. 5):

  • 17β-estradiol: 40% ; Conjugated 17β-estradiol: 6-8%. 17β-estradiol is excreted by mammals as glucuronide or sulfate conjugates in urine or in the unmetabolized form in faeces. Adler et al. (Ref. 12) reported that 50% of 17β-estradiol and 58% of estrone were conjugated in raw sewage. Furthermore, they found by measurement that 87% of the non-conjungated 17β-estradiol was removed in wastwater treatment plant and 47% of the conjungated 17β-estradiol was removed. Overall, a measured removal of 67% was found for 17β-estradiol and its conjugates. Thus, it is considered conservative to keep the SimpleTreat estimated removal for 17β-estradiol of 40%.

  • Estrone: 8%; conjugated estrone: 0%. Adler et al. (Ref. 12) measured that 55% of the estrone was removed whereas a slightly higher concentration of the conjugated in the effluent than in the effluent was found (approximately 7.5 ng/L conjugate in the inlet and 8 ng/L conjugate in the outlet). Overall, a measured removal of 19% was found for estrone and its conjugates. Thus, it is considered conservative to keep the SimpleTreat estimated removal for estrone of 8%.

  • Estriol: 2%; conjugates: 0%. Thus, an overall removal for estriol of 0% is assumed here.

    P = number of inhabitants in Sweden = 9 *106

    V (L/day) = volume of wastewater per capital and day = 200 (ECHA default) (Ref. 11)

    D = factor for dilution of wastewater by surface water flow = 10 (ECHA default) (Ref. 11)

On this basis the following PECs in surface water can be calculated:

  • PEC for 17β-estradiol: 1.5 * 10-6 * 6.88 * (100-40) = 0.00062 µg/L

  • PEC for estrone: 1.5 * 10-6 * 11.26 * (100-8) = 0.0016 µg/L

  • PEC for estriol: 1.5 * 10-6 * 2.71 * (100) = 0.00041 µg/L


3.2 Predicted No Effect Concentration (PNEC)

Available eco-toxicological data for 17β-estradiol, estrone and estriol and the derivation of PNEC-values is presented in this section.


3.2.1 17β-estradiol

A proposed EU EQS (PNEC) value has been derived for the 17β-estradiol (Ref. 7) in connection with setting 17β-estradiol on a short-list of 19 possible new priority substances for the Water Frame Directive (Ref. 6). The data used for the derivation of the EQS-value is presented in Appendix together with the derivation, and only a short overview of the derivation is given here.


Knowledge of the mode of action of 17β-estradiol - and strongly supported by the acute and chronic test toxicity data (see Appendix) - suggests that fish and amphibians are likely to be the most sensitive organisms. This is supported by the available chronic toxicity data which indicates that fish are particularly sensitive to 17β-estradiol. Two studies were located on amphibians with LOECs in the range of 1000-2740 ng/l reported for Rana pipens and Xenopus laevis. These LOECs are far above the NOECs for fish. Therefore, a SSD (Species Sensitivity Distribution) was derived for 17β-estradiol based on data for the most sensitive taxonomic groups, fish - expecting that chronic fish data used for the derivation of an SSD would also be protective of the other less sensitive group.


The lowest no observed effect concentration for 17β-estradiol is a 35-50 d NOEC of 0.5 ng/l (Ref. 48) for the trout (Onchorhynchus mykiss). The observed effects were sperm volume, sperm density and fertilization success. The study was not carried out according to a guideline. Experiments took place in four identical flow-through 0.5 m3 tanks (three replicates and one control - each tank with 10 males and 3 females of approximate same size). Water inflow temperature was 6oC and air saturation of water was >90%. Fish were kept under natural photoperiod (experiments were carried out in Kreuzstein in Sankt Gilgen, Upper Austria during December – January).


Overall, reliable chronic NOEC values were available for 11 species of fish and the SSD was based on these 11 fish species (Ref. 7). The HC5 for the SSD was found at 0.8 ng/l. Based on the available dataset and the knowledge of the mode of action, an assessment factor of 2 was considered appropriate. This gives an AA-EQS of 0.4 ng/l.


This derivation of the AA-EQS was reviewed by SCHER (Ref. 8). Both the reliability and the ecological relevance of the endpoints and taxonomic groups were considered. Overall, the SCHER supported the proposed AA-EQS of 0.4 ng/l for 17β-estradiol.


In conclusion, a PNEC of 0.4 ng/L is used for 17β-estradiol


3.2.2 Estrone

A PNEC-value has been derived for estrone in connection with setting the substance (together with 17β-estradiol) on a short-list of 19 possible new priority substances for the Water Frame Directive (Ref. 6).

A well-accepted EU PNEC for estrone has been derived at 3.6 ng/l (Ref. 59).

 

Environmental toxicity data for estrone has been collected and are presented in the annex.


As for 17β-estradiol, the mode of action for estrone suggests that fish and amphibians are likely to be the most sensitive organisms. Based on available data, fish is found to be the most sensitive species to estrone. A NOEC for estrone of 36 ng/l was obtained in 40-day study with Danio rerio (according to OECD Draft Test Guideline: A 40-day Juvenile Zebrafish Assay for screening of Endocrine Disrupting Chemicals), and a NOEC for estrone of 5 ng/l was obtained in a 90-day study (no guideline followed, fish specie: Oryzias latipes, effects measured: Organ weight in relationship to body weight; hatch, Vitellogenin 1 mRNA).


As for 17β-estradiol, the mode of action for estrone is well-known and fish is the most sensitive species. Therefore, an assessment factor of 10 for the chronic fish toxicity data is considered justified.


Using an assessment factor of 10, a PNEC of 0.5 ng/L was obtained.


3.2.3 Estriol

As for 17β-estradiol and estrone, the mode of action for estriol is well-known and fish is the most sensitive species. Therefore, an assessment factor of 10 for the chronic fish toxicity data is considered justified.


The No Observed Effect Concentration (NOEC) for induction of vitellogenin, which is considered a chronic eco-toxicity test, is found at 0.0465 µg/l for estriol (Ref. 49; not-a guideline study; test species Oryzias latipes, duration of study 90 days, temperature: 25 ± 1 °C, three replicates and one control; 30 embryos per replicate).


Using an assessment factor of 10, a PNEC of 4.7 ng/L was obtained.


3.2.4 Derived PNECs

PNEC for the three APIs in surface water is:

  • PNEC for 17β-estradiol: 0.0004 µg/L

  • PNEC for estrone: 0.0005 µg/L

  • PNEC for estriol: 0.0047 µg/L


3.3 Calculation of the risk quotient (PEC/PNEC)

The following risk quotient PEC/PNEC can be calculated:

  • PEC/PNEC for 17β-estradiol: 0.00062/0.0004 = 1.55

  • PEC/PNEC for estrone: 0.0016/0.0005 = 3.2

  • PEC/PNEC for estriol: 0.00041/0.0047 = 0.087

The total PEC/PNEC ratio for 17β-estradiol, estrone and estriol is thus 4.8.


Based on the calculated PEC/PNEC ratios and information about degradation, bioaccumulation and eco-toxicity of 17β-estradiol, estrone and estriol the following environmental risk phrase should be applied to pharmaceutical products with estrogens according to the criteria in the FASS.se guidelines (Ref. 1):


”Use of pharmaceutical products with estrogens has been considered to result in moderate environmental risk”

This risk phrase is according to the FASS.se guidelines applicable for risk quotients in the interval: 1 < PEC/PNEC ≤ 10.


4. Biotic degradation


4.1. Degradation of 17β-estradiol

Activated sludge test according to OECD guideline no. 302A has shown that 17β-estradiol is inherently biodegradable under aerobic conditions in activated sludge (Ref. 30). 17β-estradiol is thus slowly degraded in the environment. In a 100 days simulation study of 17β-estradiol (OECD Test Method no. 308), an aerobic mineralisation (marine) of 61±1% respectively 62±3% mineralisation (freshwater) was found (Ref. 86). Thus, 17β-estradiol is found to be biodegradable in both marine and freshwater. In addition, an activated sludge tests (OECD 302, Ref. 2) show that 17β-estradiol is inherently biodegradable under aerobic conditions.


4.2. Abiotic degradation

Hydrolysis:

No data available


Photolysis:

No data available


5. Bioaccumulation


According to the FASS.se guidelines (Ref. 1), substances with Log Pow ≥ 4 or BCF ≥ 500 are considered to have high potential for bioaccumulation. Valid BCF-data has prevalence above log Pow data. One limitation in the use of log Pow for the estimation of the bioaccumulation potential is that metabolism within the test organism is not considered.


The following data on bioaccumulation are retrieved from the literature and calculations:

Substance

Parameter

Result

Specie

Method

Reference

17β-estradiol (E2)

log Pow

3.94

n-octanol

Calculation

Ref. 82

17β-estradiol (E2)

BCF

38 (day 21); 43 (day 81); 45 (day 141)

High-back crucian carp (Carassius auratus)

No standard followed. 200 juvenile caged fish were exposed to wastewater outlet at the secondary sedimentation tank (for up to 141 days). Concentrations in wastewater and fish were measured.

Ref. 53

17β-estradiol (E2)

BCF

174

Male fathead minnow, plasma

Method: no standard followed. Male and female fathead minnow were to 17β-oestradiol for 19 days at nominal concentrations that ranged from 27.2-2740 ng l-1. Tissues were collected and the concentration in the plasma was measured. The estimated BCF was 174 in males based on the relationship between waterborne and plasma 17β-oestradiol

concentrations in surviving fish from all treatments.

Ref. 47

17β-estradiol (E2)

BCF

6.5

Larvae and juvenile flounder

Method: no standard followed. The estradiol uptake (through 48 hours) and depuration (through 48 hours) was studied both for larvae and juvenile flounders. Five test concentrations (between 4nM and 1000 nM) and a control was applied in the uptake study. No BCF could be established for females

Ref. 69

17β-estradiol (E2)

log Klip,w

Varied between 2.29 (vesicle including cholesterol)-3.79 (vesicle including unsaturated acyl chains).

Three types of synthetic membrane liposomes were tested.

Method: no standard followed. The partitioning between water and the synthetic membrane liposomes were measured by equilibrium dialysis

Ref. 87

Estrone (E1)

Log Pow

3.43

n-octanol

Calculation

Ref. 82

Estrone (E1)

BCF

35 (day 21); 29 (day 81); 35 (day 141)

High-back crucian carp (Carassius auratus)

No standard followed. 200 juvenile caged fish were exposed to wastewater outlet at the secondary sedimentation tank (for up to 141 days). Concentrations in wastewater and fish were measured.

Ref. 53

Estrone (E1)

BCF

241/278 (4hr), 229 (16 hr), 165 24 hr

Daphnia magna

No standard followed. Uptake of E1 by the D. magna. was measured at 4, 16, and 24 h and the final concentration of E1 in the pond water was analyzed by LC/MS at each time point. The experiment was repeated at a lower concentration of E1 (40mg/L) and uptake in the D. magna and concentration of E1 in the water was determined after 4 h. All bioconcentration experiments were carried out in triplicate.

Ref. 38


log Klip,w

Varied between 2.45 (vesicle including cholesterol)-3.92 (vesicle including unsaturated acyl chains).

Three types of synthetic membrane liposomes were tested.

Method: no standard followed. The partitioning between water and the synthetic membrane liposomes were measured by equilibrium dialysis

Ref. 87

Estriol (E3)

Log Pow

2.81

n-octanol

Calculation

Ref. 82

Estriol (E3)

log Klip,w

Varied between 0.179 (vesicle including cholesterol)-0.96 (vesicle including unsaturated acyl chains).

Three types of synthetic membrane liposomes were tested.

Method: no standard followed. The partitioning between water and the synthetic membrane liposomes were measured by equilibrium dialysis

Ref. 87


It is noted that 17β-estradiol has a calculated log Pow slightly below but close to the cut-off value of 4. It can be mentioned that a logPow slightly above 4 (4.01) has been measured (Ref. 33, method not reported). Several measured BCFs are available for 17β-estradiol – all well below the cut-off value of 500. Therefore, 17β-estradiol is assessed not to have a high potential for bioaccumulation.


Both estrone and estriol have calculated log Pow well below 4. Actually, measured log Pow values are available for the two substances showing a log Pow of 3.13 respectively 2.45 (Ref. 33, method not reported). In addition, a BCF well below 100 is measured for estrone in the fish “high-back crucian carp”. Thus, both substances are considered to have a low potential for bioaccumulation.


Of some interest to note is the measured partitioning between water and synthetic membrane liposomes – mimicking biological specie-of the three substances. The partitioning of 17β-estradiol and estrone is on the very same level – whereas the partitioning of estriol to the membrane liposomes is much lower. This is in agreement with the calculated log Pow-values.


Overall, it is assessed that 17β-estradiol, estrone and estriol all have a low potential for bioaccumulation.


6. PBT/vPvB assessment


Considering all three aspects, 17β-estradiol, estrone and estriol do not meet the criteria for classification as a PBT or vPvB substance.


7. References

General references

1. Environmental classification of pharmaceuticals at FASS – Guidance for pharmaceutical companies 2012.

2. D'Ascenzo G., A. Di Corcia, A. Gentili, R. Mancini, R. Mastropasqua, M. Nazzari, et al. Fate of natural estrogen conjugates in municipal sewage transport and treatment facilities. Sci. Total Environ, 301 (2003), pp. 199-209

3. DHI (2001): Litteratur-review over økotoksikologiske data for østradiol og østron. November 2001. Udført af DHI. (only in Danish)

4. DHI (2003): Summary of selected investigations performed for Novo Nordisk A/S - Steroid hormones. October 2003. Prepared by DHI.

5. DHI (2003): Fate and effects of humanly excreted estrogens - 17 β-estradiol, estrone, estriol and ethinylestradiol. October 2003. Prepared by DHI.

6. European Union (2013). “Directive 2013/39/EU of the European Parliament and of the Council of 12 August 2013 amending Directives 2000/60/EC and 2008/105/EC as regards priority substances in the field of water policy”.

7. EU (2011): Beta-estradiol EQS dossier 2011.

8. SCHER (Scientific Committee on Health and Environmental Risks) (2011). OPINION ON "CHEMICALS AND THE WATER FRAMEWORK DIRECTIVE: DRAFT ENVIRONMENTAL QUALITY STANDARDS" 17β-estradiol (E2) SCHER adopted this opinion at its 12th plenary on 30 March 2011. 

9. ECHA, European Chemicals Agency. 2008 Guidance on information requirements and chemical safety assessment.

10. 10. ECHA (2016): Guidance on information requirements and Chemical Safety Assessment. Chapter R.16: Environmental exposure assessment. Version 3.0.

11. 8.11. IQVIA/LIF (2021): kg consumption 2020.

Data references

12. Adler P., Th. Steger-Hartmann, W. Kalbfuß (2001): Vorkommen natürlicher und synthetischer östrogener Steroide in Wässern des süd-und mitteldeutschen Raumes. Acta Hydrochim. Hydrobiol, 29 (2001), pp. 227-241

13. Andersen H R, Wollenberger L, Halling-Sørensen B, Kusk K O (2001): "Development of copepod nauplii to copepodites - a parameter for chronic toxicity including endocrine disruption." Environmental Toxicology and Chemistry 20(12): 2821-2829.

14. Billinghurst Z, Clare A S, Fileman T, McEvoy J, Readman J, Depledge M.H. (1998): "Inhibition of barnacle settlement by the environmental oestrogen 4-nonylphenol and the natural oestrogen 17-beta-oestradiol." Marine Pollution Bulletin 36(10): 833-839.

15. Bjerregaard, P., P.R. Hansen, K.J. Larsen, C. Erratico, B. Korsgaard, and H. Holbech(2008):Vitellogenin as a Biomarker for Estrogenic Effects in Brown Trout, Salmo trutta: Laboratory and Field Investigations. Environ. Toxicol. Chem.27(11): 2387-2396

16. Bjørnestad E (2002): Chronic toxicity test of 17 beta-Estradiol (CAS No. 50-28-2) with the crustacean Acartia tonsa. Rapport fra DHI Vand & Miljø.

17. Breitholtz M und Bengtsson B E (2001): "Oestrogens have no Hormonal Effect on the Development and Reproduction of the Harpacticoid Copepod Nitocra spinipes." Marine Pollution Bulletin 42(10): 879-886.

18. Brion F, Tyler C R, Palazzi X, Laillet B, Porcher J M, Garric J, Flammarion P (2004): "Impacts of 17-beta-estradiol, including environmentally relevant concentrations, on reproduction after exposure during embryo-larval-, juvenile- and adult-life stages in zebrafish (Danio rerio)." Aquatic Toxicology 68(3): 193-217.

19. Cripe G M, Hemmer B L, Goodman L R, Fournie J W, Raimondo S, Vennari J C, Danner R L, Smith K, Manfredonia B R, Kulaw D H, Hemmer M J (2009): "Multigenerational exposure of the estuarine sheepshead minnow (Cyprinodon variegatus) to 17-beta-estradiol. I. Organism-level effects over three generations." Environmental Toxicology and Chemistry 28(11): 2397-2408.

20. Dammann,A.A., N.W. Shappell, S.E. Bartell, and H.L. Schoenfuss(2011):Comparing Biological Effects and Potencies of Estrone and 17beta-Estradiol in Mature Fathead Minnows, Pimephales promelas. Aquat. Toxicol.105(3/4): 559-568

21. Ghekiere,A., T. Verslycke, and C. Janssen(2006):Effects of Methoprene, Nonylphenol, and Estrone on the Vitellogenesis of the Mysid Neomysis integer. Gen. Comp. Endocrinol.147(2): 190-195

22. DHI (2002): Algal growth inhibition test of ß-Estradiol with the micro alga Pseudokirchneriella subcapitata. 2002.06.17. Prepared by DHI.

23. DHI (2002): Algal growth inhibition test of Estrone with the micro alga Pseudokirchneriella subcapitata. 2002.06.27. Prepared by DHI.

24. DHI (2002): Chronic toxicity test of ß-Estradiol [CAS no. 50-28-2] with the crustacean Acartia tonsa. 2002.06.28. Prepared by DHI.

25. DHI (2002): Zebra fish chronic toxicity test with Estrone [CAS no. 53-16-7]. 2002.08.30. Prepared by DHI.

26. DHI (2002): Nitrification inhibition test of ß-Estradiol with activated sludge. 2002.07.03. Prepared by DHI.

27. DHI (2002): Nitrification inhibition test of Estrone with activated sludge. 2002.07.04. Prepared by DHI.

28. DHI (2002): Enchytraeus albidus chronic toxicity test with ß-Estradiol. 2002.07.05. Prepared by DHI.

29. DHI (2002): Ready Biodegradability – Closed Bottle Test with Estradiol. 2002.07.12. Prepared by DHI.

30. DHI (2002): Activated Sludge Biodegradability Simulation Test with Estradiol. 2002.07.12. Prepared by DHI.

31. Doyle C J und Lim R P (2005): Sexual behavior and impregnation success of adult male mosquitofish following exposure to 17-beta-estradiol. Ecotoxicology and Environmental Safety 61 :392–397.

32. Hirai N, Nanba A, Koshio M, Kondo T, Morita M, Tatarazako N (2006): Feminization of Japanese medaka (Oryzias latipes) exposed to 17β-estradiol: Formation of testis-ova and sex-transformation during early-ontogeny. Aquatic Toxicology 77 (1):78-86.

33. Hansch C., Leo A. and Hoekman D. (1995). Exploring QSAR - Hydrophobic, Electronic, and Steric Constants. Washington, DC., American Chemical Society.

34. Hobkirk R., Mellor J.D. and Nilsen M. (1975). In vitro metabolism of 17beta-estradiol by human liver tissue. Can. J. Biochem. 53, : 903-906.

35. Holbech,H., K. Kinnberg, G.I. Petersen, P. Jackson, K. Hylland, L. Norrgren, and P. Bjerregaard(2006):Detection of Endocrine Disrupters: Evaluation of a Fish Sexual Development Test (FSDT). Comp. Biochem. Physiol. C Comp. Pharmacol. Toxicol.144(1): 57-66

36. Huang Bin, Wenwen Sun,Xiaoman Li, Jingliang Liu, Qiang Li, Renmin Wang, Xuejun Pan (2015): Effects and bioaccumulation of 17β-estradioland 17α-ethynylestradiol following long-term exposure in crucian carp. Ecotoxicology and Environmental Safety 112, 169–176

37. Hutchinson, T.H., N.A. Pounds, M. Hampel & T.D. Williams (1999): Impact of natural and synthetic steroids on the survival, development and reproduction of marine copepods (Tisbe battagliai). The science of the Total Environment 233: 167-179

38. Gomes Rachel L., L.Hannah E. Deacon, Ka M. Lai, Jason W. Birkett, Mark D. Scrimshaw And John N. Lester (2004): Assessment Of The Bioaccumulation Of Estrone In Daphnia Magna

39. Environmental Toxicology and Chemistry, Vol. 23, No. 1, pp. 105–108, 2004

40. Imai S, Koyama J, Fujii K (2005): Effects of 17b-estradiol on reproduction of Java medaka (Oryzias javanicus), a new test fish. Mar Poll Bull 51: 708–714.

41. Imai S, Koyama J, Fujii K. 2007. Effects of estrone on full life cycle of Java medaka(Oryzias javanicus), a newmarine test fish. Environ Toxicol Chem 26:726–731.

42. Jukosky J A Watzin M C, Leiter J C (2008a): The effects of environmentally relevant mixtures of estrogens on Japanese medaka (Oryzias latipes) reproduction. Aquatic Toxicology 86:323–331.

43. Kang I J, Yokota H, Oshima Y, Tsuruda Y, Yamaguchi T, Maeda M, Imada N, Tadokoro H, Honjo T (2002): Effect of 17-beta-estradiol on the reproduction of Japanese medaka (Oryzias latipes). Chemosphere 47(1): 71-80.

44. Kashiwada et al. (2002): Fish test for endocrine disruption and estimation of water quality of Japanese rivers. Water Research 36: 2161-2166.

45. Kloas W, Lutz I and Einspanier R (1999): Amphibians as a model to study endocrine disruptors: II. Estrogenic activity of environmental chemicals in vitro and in vivo. Science of The Total Environment 225: 59-68.

46. Kramer V J, Miles-Richardson S, Pierens S L, Giesy J P (1998): Reproductive impairment and induction of alkaline-labile phosphate, a biomarker of estrogen exposure, in fathead minnows (Pimephales promelas) exposed to waterborne 17-beta-estradiol. Aquatic Toxicology 40(4): 335-360.

47. Kramer V.J., Miles-Richardson S., Pierens S.L. and Giesy J.P. (1998). "Reproductive impairment and induction of alkaline-labile phosphate, a biomarker of estrogen exposure, in fathead minnows (Pimephales promelas) Exposed to waterborne 17[beta]-estradiol." Aquatic Toxicology 40(4): 335-360

48. Lahnsteiner F, Berger B, Kletzl M, Weismann T (2006): Effect of 17β-estradiol on gamete quality and maturation in two salmonid species. Aquatic Toxicology. 79:124–131.

49. Lei,B., J. Kang, Y. Yu, J. Zha, W. Li, Z. Wang, Y. Wang, and Y. Wen(2014):Long-Term Exposure Investigating the Estrogenic Potency of Estriol in Japanese Medaka (Oryzias latipes). Comp. Biochem. Physiol. C Toxicol. Pharmacol.160:86-92

50. Lei,B., Y. Wen, X. Wang, J. Zha, W. Li, Z. Wang, Y. Sun, J. Kang, and Y. Wang(2013):Effects of Estrone on the Early Life Stages and Expression of Vitellogenin and Estrogen Receptor Genes of Japanese Medaka (Oryzias latipes). Chemosphere93(6): 1104-1110

51. Liao T, Guo Q L, Jin S W, Cheng W, Xu Y(2009): Comparative responses in rare minnow exposed to 17β-estradiol during different life stages, Fish Physiol. Biochem. 35: 341–349.

52. Lievertz R.W. (1987). Pharmacology and pharmacokinetics of estrogens. Am. J. Obstet. Gynecol. 156:1289-1293.

53. Liu Jingliang , Renmin Wang, Bin Huang, Chan Lin, Jiali Zhou, Xuejun Pan (2012):Biological effects and bioaccumulation of steroidal and phenolic endocrine disrupting chemicals in high-back crucian carp exposed to wastewater treatment plant effluents. Environmental Pollution 162 (2012) 325-331

54. Mackenzie C A, Berrill M, Metcalfe C, Pauli B D (2003): Gonadal differentiation in frogs exposed to estrogenic and antiestrogenic compounds. Environmental Toxicology and Chemistry. Volume 22, Issue 10: 2466–2475

55. Metcalfe C D, Metcalfe T L, Kiparissis Y, Koenig B, Khan C, Hughes R J, Croley T R, March R E , Thomas P. (2001). Estrogenic potency of chemicals detected in sewage treatment plant effluents as determined by in vivo assays with Japanese medaka (Oryzias latipes). Environmental Toxicology and Chemistry 20(2): 297-308.

56. Nash J P, Kime D E, van der Ven L T M , Wester P W , Brion F , Maack G, Stahlschmidt-Allner P. and Tyler C.R. (2004): Long-Term Exposure to Environmental Concentrations of the Pharmaceutical Ethynylestradiol Causes Reproductive Failure in Fish. Environmental Health Perspectives 112(17): 1725-1733.

57. Nimrod A C und Benson W H (1998): Reproduction and development of Japanese medaka following an early life stage exposure to xenoestrogens. Aquatic Toxicology 44(1-2): 141-156.

58. Notch,E.G., and G.D. Mayer(2013):Impact of Environmental Estrogens on Nucleotide Excision Repair Gene Expression in Embryonic Zebrafish. Comp. Biochem. Physiol. C Toxicol. Pharmacol.157(4): 361-365

59. Oekotoxzentrum, Eawag (2011): Proposed PNEC value for Estrone.

60. Panter, G.H., R.S. Thompson & J.P. Sumpter (1998): Adverse reproductive effects in male fathead minnows (Pimephales promelas) exposed to environmentally relevant concentrations of the natural oestrogenes, oestradiol and oestrone. Aquatic toxicology 42: 243-253

61. Pollino C A, Georgiades E,. Holdway D A (2007): Use Of The Australian Crimson-Spotted Rainbowfish (Melanotaenia Fluviatilis) As A Model Test Species For Investigating The Effects Of Endocrine Disruptors. Environmental Toxicology and Chemistry, Vol. 26, No. 10: 2171–2178

62. Robinson C D, Brown E, Craft J A, Davies I A, Megginson C, Miller C, Moffat C F (2007): Bioindicators and reproductive effects of prolonged 17-beta-oestradiol exposure in a marine fish, the sand goby (Pomatoschistus minutus). Aquatic Toxicology 81: 397–408.

63. Roepke T A, Snyder M J, Cherr G N (2005): Estradiol and endocrine disrupting compounds adversely affect development of sea urchin embryos at environmentally relevant concentrations. Aquatic Toxicology 71:155–173.

64. Routledge E J, Sheahan D, Desbrow C, Brighty G C, Waldock M, Sumpter J P (1998): Identification of estrogenic chemicals in STW effluent. 2. In vivo responses in trout and roach. Environmental Science and Technology 32: 1559-1565.

65. Schering AG (1995): Acute toxicity of 17beta-estradiol with the rainbow trout. Report A05662.

66. Schering AG (2002). Growth inhibition test with estradiol (ZK 5018) on the green algae Desmodesmus subspicatus. Report A30506.

67. Segner H, Navas J M, Schäfers C, Wenzel A (2003): Potencies of estrogenic compounds in in vitro screening assays and in life cycle tests with zebrafish in vivo. Ecotoxicology and Environmental Safety 54:315-322.

68. Slaunwhite R.W., Kirdani R.Y. and Sandberg A.A. (1973). Metabolic aspects of estrogens in man. In: R.O. Greep and E.B. Astwood (Eds.). Handbook of Physiology. Section 7: Endocrinology, Vol. 2, Female Reproductive System, part 1, Chapter 21, Washington DC, American Physiology Society. pp. 485-523.

69. Specker and Chandler (2003). Methodology for estradiol treatment in marine larval and juvenile fish: uptake and clearance in summer flounder. Aquaculture, 217, 663-672.

70. Schering AG (2002). Growth inhibition test with estradiol (ZK 5018) on the green algae Desmodesmus subspicatus. Report A30506.

71. Seki M., Yokota H., Maeda M. and Kobayashi K. (2005). "Fish full life-cycle testing for 17beta-estradiol on medaka (Oryzias latipes)." Environmental Toxicology and Chemistry 24(5): 1259-1266.

72. Shappell N W, Hyndman K M, Bartell S E, Schoenfuss H L (2010): Comparative biological effects and potency of 17-alpha- and 17-beta-estradiol in fathead minnows. Aquatic Toxicology:100: 1–8.

73. Shioda T und Wakabayashi M. (2000): Effect of certain chemicals on the reproduction of medaka (Oryzias latipes). Chemosphere 40(3): 239-243.

74. Tabata A, Kashiwada S, Ohnishi Y, Ishikawa H, Miyamoto N, Itoh M, Magara Y (2001): "Water Science and Technology. 43 2:109-116.

75. Tatarazako N, Takao Y, Kishi K, Onikura N, Arizono K, Iguchi T. (2002): Styrene dimers and trimers affect reproduction of daphnid (Ceriodaphnia dubia)." Chemosphere 48(6): 597-601.

76. Thorpe, K.L., T.H. Hutchinson, M.J Hetherudge, M. Scholtze, J.P Sumpter & C. Tyler (2001): Assessing the Biological Potency of Binary Mixtures of Environmental Estrogens using Vitellogenin Induction in Juvenile Rainbow Trout (oncorhynchus mykiss). Environ. Sci Technol. 35: 2476-2481

77. Thorpe K.L. Thomas H., Malcolm J.H., Martin S., P. Sumpter & And C.R. Tyler (2001): Assessing the Biological Potency of binary mixtures of Environmental Estrogens using Vitellogenin Induction in Juvenile Rainbow Trout. Environ. Sci. Technol. 2001, 35, 2476-2481. Environ Sci Technol. 2003;37(6):1142-9.

78. Thorpe K L, Benstead R, Hutchinson T H, Cummings R I, Tyler C R (2003): Reproductive effects of exposure to oestrone in the fathead minnow. Fish Physiology and Biochemistry 28: 451–452.

79. Thorpe K L, Cummings R I, Hutchinson T H, Scholze M, Brighty G, Sumpter J P, Tyler C R (2003):Relative Potencies and Combination Effects of Steroidal Estrogens in Fish.

80. Thorpe KL, Benstead R, Hutchinson TH, Tyler CR. 2007. Associations between altered vitellogenin concentrations and adverse health effects in fathead minnow (Pimephales promelas). Aquat Toxicol (Amst) 85:175–183.

81. Toft G und Battrup E (2003): Altered sexual characteristics in guppies (Poecilia reticulata) exposed to 17b-estradiol and 4-tert-octylphenol during sexual development. Ecotoxicology and Environmental Safety 56: 228–237.

82. US EPA (2012): EpiSuite

83. Van den Belt K, Berckmans P, Vangenechten C, Verheyen R, Witters H 2004): Comparative study on the in vitro and in vivo estrogenic potencies of 17β-estradiol, estrone, 17α-ethynylestradiol and nonylphenol. Aquat Toxicol 66(2):183-185.

84. Van der Ven LTM, Van den Brandhof E-J, Vos HJ, Wester PW (2007) Effects of the estrogen agonist 17β-Estradiol and antagonist tamoxifen in a partial life-cycle assay with zebrafish (Danio rerio). Environ Tox Chem 26(1):92-99.

85. Winther-Nielsen M (2002): Algal growth inhibition test of 17-beta-Estradiol with micro alga Pseudokirchneriella subcapitata. Rapport fra DHI - Institut for Vand & Miljø.

86. Winther-Nielsen (2011): Aerobic transformation of 17β-estradiol in aquatic sediment systems. DHI GLP report. 2011.03.31

87. Yamamoto Hiroshi and Howard M. Liljestrand (2004): Partitioning of Selected Estrogenic Compounds between Synthetic Membrane Vesicles and Water: Effects of Lipid Components.



Appendix


Nitrification inhibition test with activated sludge:

Substance

Method

Concentration & Exposure time

Effect parameter

EC20

Reference

17β-estradiol

ISO 9509

62,5–1.000 µg/L

2 hrs

Inhibition of nitrification rate

> 918 µg/L

Ref. 26

Estrone

ISO 9509

62,5–1.000 µg/L

2 hrs

Inhibition of nitrification rate

> 172 µg/L

Ref. 27


The studies did not show significant inhibition of the nitrification rate in activated sludge at the tested concentrations.


Biodegradation test of 17β-estradiol:

Substance

Method

Concentration & Exposure time

Result

Reference

17β-estradiol (E2)

OECD Test Method no. 308: “Aerobic transformation of 17β-estradiol in aquatic sediment systems”

Nominal concentrations 0.36 µg/L and 1.1 µg/L of unlabelled and 14C-labelled E2, respectively

100 days

61±1% mineralisation (marine)

62±3% mineralisation (freshwater)

Ref. 86

17β-estradiol

OECD Test Method no. 301D: “Closed Bottle Test”

1.64 mg/L

28 days

3.5-9.8 % of ThoD

Ref. 29

17β-estradiol (E2)

OECD Guideline no. 302A: “Inherent Biodegradability: Modified SCAS Test” and “Activated Sludge Biodegradability Simulation Test”

Ca. 20 µg/L

Aerobic: 48 hrs

Anoxic: 8 days

Aerobic:

See below *

Anoxic:

No significant degradation

Ref. 30


* Results according to OECD Guideline no. 302A:

  • The total 14C-concentration decreased by 70% of the initial added 14C within the first 45 minutes of the test period

  • During the first 45 minutes of the test period, a 1. order rate constant was estimated at 2.2 ± 0.2 L*day-1*gSS-1 for the total test substance concentrations > 2.5 µg E2/L

  • During the test period from 3-48 hours, a 1. order rate constant was estimated at 0.031 ± 0.003 L*day-1*gSS-1 for the total test substance concentrations < 2.5 µg E2/L


On basis of the biodegradation test results it can be concluded that:

  • 17 β-estradiol is not readily degradable under closed bottle conditions since the minimum requirement BOD = 60% of ThOD within 10 days is not fulfilled.

  • 17 β-estradiol is inherently biodegradable under aerobic conditions but not under anoxic conditions in activated sludge simulation.


Reproduction test for 17β-estradiol on the earth worm, Enchytraeus albidus

Method

Concentration &

Exposure time

Effect parameter

NOEC

Reference

OECD Draft Test Guideline 220: “Enchytraeidae Reproduction Test”, March 2000 and in agreement with the existing OECD Guideline No. 220: Enchytraeid Reproduction Test

50–1,000 mg/kg soil d.w.

21 days

Adult mortality

Inhibition of reproduction

Changes in behaviour and/or morphology

> 1,000 mg/kg

Ref. 28

The study did not show significant effect on neither of the stated parameters at the tested concentrations.


Derivation of PNEC for 17β-estradiol

A suggestion for AA-EQS has been drafted and reviewed (Ref. 7). The below derivation is based on this derivation.

Specie Group

Organism

Effect

Duration

End-Point

Value (µg/L)

KLIMISH Score

Reference

Short Term Data

Algae

Desmodesmus subspicatus

Growth (GLP)

72 h

EC50

>3100

1

Ref. 66

Invertebrate

Acartia tonsa

Mortality

48 h

EC50

>1000

2

Ref. 13

Fish

Cyprinus carpio

VTG induction in hepatocytes

3 d

EC50

24.52

2

Ref. 67

Fish

Oncorhynchus mykiss

Mortality

96 h

LC50

>500

1

Ref. 65

Fish

Oncorhynchus mykiss

VTG induction in hepatocytes

3 d

EC50

7.08

2

Ref. 67

Fish

Oryzias latipes

Egg and embryo mortality

72 h

LC50

460

2

Ref. 44

Fish

Oryzias latipes

Adult

72 h

LC50

3500

2

Ref. 44

Long-term data

Algae

Desmodesmus subspicatus

Growth

72 h

NOEC

>3100

1

Ref. 66

Algae

Pseudokirchneriella subcapitata

Growth (OECD 201, GLP)

72 h

NOEC

>523

2

Ref. 85

Arthropoda

Balanus amphrite

larval colonization

2 d

NOEC

=0.1

2

Ref. 14

Invertebrate

Acartia tonsa

development

5 d

EC10

370

2

Ref. 13

Invertebrate

Acartia tonsa

development

5 d

EC50

720

2

Ref. 13

Invertebrate

Acartia tonsa

Reproduction

GLP, Not a guideline study;

21 d

NOEC

>368

2

Ref. 16

Invertebrate

Ceriodaphnia dubia

reproduction

7 d

NOEC

=10000

2

Ref. 75

Copepoda

Nitocra spinipes

reproduction

18 d

NOEC

≥160

2

Ref. 17

Copepoda

Tisbe battagliai

reproduction

21 d

NOEC

≥100

2

Ref. 37

Amphibien

Xenopus laevis

feminization

84 d

LOEC

2.74

2

Ref. 45

Amphibien

Rana pipiens

Intersex

162 d

LOEC

≤1

2

Ref. 54

Fish

Cyprinodon variegatus

Proportion of viable eggs F1 and F2

280 d

LOEC

0.04

2

Ref. 19

Fish

Cyprinodon variegatus

Proportion of viable eggs F1 and F2

280 d

NOEC

0.01

2

Ref. 19

Fish

Danio rerio

altered gonadal histology, sex ratio

21 d

LOEC

0.1

2

Ref. 18

Fish

Danio rerio

altered gonadal histology, sex ratio

21 d

NOEC

0.025

2

Ref. 18

Fish

Danio rerio

altered gonadal histology, secondary sexual characteristics

21 d

NOEC

0.005

2

Ref. 18

Fish

Danio rerio

reproduction

200 d

NOEC

≤0.005

2

Ref. 56

Fish

Danio rerio

Egg number in the clutch and hatching

21 d

NOEC

0.087

2

Ref. 71

Fish

Gabiocypris rarus

sex ratio

21 d

LOEC

0.025

2

Ref. 51

Fish

Gabiocypris rarus

sex ratio

21 d

NOEC

0.005

2

Ref. 51

Fish

Gambusia holbrooki

reproductive success

84 d

LOEC

0.02

2

Ref. 31

Fish

Gambusia holbrooki

reproductive success

84 d

NOEC

0.1

2

Ref. 31

Fish

Melanotaenia fluviatilis

egg production

14 d

LOEC

0.3

2

Ref. 61

Fish

Melanotaenia fluviatilis

egg production

14 d

NOEC

0.1

2

Ref. 61

Fish

Oncorhynchus mykiss

Sperm volume, sperm density and fertilization success

35-50 d

LOEC

0.001

2

Ref. 48

Fish

Oncorhynchus mykiss

Sperm volume, sperm density and fertilization success

35-50 d

NOEC

0.0005

2

Ref. 48

Fish

Oryzias javanicus

Fertility of the eggs

187 d

LOEC

0.016

2

Ref. 40

Fish

Oryzias javanicus

Fertility of the eggs

187 d

NOEC

0.0095

2

Ref. 40

Fish

Oryzias latipes

Gender shift (testis-ova)

90 d

LOEC

0.1

2

Ref. 55

Fish

Oryzias latipes

Gender shift (testis-ova)

90 d

NOEC

0.01

2

Ref. 55

Fish

Oryzias latipes

total study

90 d

LOEC

0.004

3

Ref. 55

Fish

Oryzias latipes

total study

90 d

NOEC

0.0004

3

Ref. 55

Fish

Oryzias latipes

feminization

200-300 d

NOEC

0.1

2

Ref. 74

Fish

Oryzias latipes

reduced fertility

59 d

NOEC

0.0029

2

Ref. 71

Fish

Oryzias latipes

feminization

28 d

LOEC

≤0.01

2

Ref. 57

Fish

Oryzias latipes

number of eggs

14 d

NOEC

0.272

2

Ref. 73

Fish

Oryzias latipes

reduced fertility

21 d

NOEC

0.227

2

Ref. 43

Fish

Oryzias latipes

Hatching time

20 d

NOEC

0.034

2

Ref. 32

Fish

Oryzias latipes

various reproduction endpoints

14 d

NOEC

0.379

3

Ref. 42

Fish

Pimephales promelas

Feminization and weight gain

91 d

LOEC

0.0279

1

Ref. 65

Fish

Pimephales promelas

Feminization and weight gain

91 d

NOEC

>0.008

1

Ref. 65

Fish

Pimephales promelas

reduced egg production

19 d

EC10

0.0066

2

Ref. 46

Fish

Pimephales promelas

reproduction, reduced egg production

21 d

NOEC

0.044

3

Ref. 86

Fish

Poecilia reticulata

Feminization (GSI, sex ratio)

90 d

LOEC

0.5

2

Ref. 81

Fish

Poecilia reticulata

Feminization (GSI, sex ratio)

90 d

NOEC

0.1

2

Ref. 81

Fish

Pomatoschistus minutus

reproduction

240 d

NOEC

0.097

2

Ref. 62

Fish

Thymallus thymallus

Sperm volume, motility of sperm

50 d

LOEC

≥0.001

2

Ref. 48


Acute effects have been considered of no relevance and therefore no MAC-EQS has been derived.


Chronic toxicity data for 17β-estradiol is available for a range of species including algae, crustaceans, rotifers, amphibians and fish. It is concluded that the critical effect due to exposure of 17β-estradiol and its primary metabolites estrone and estriol is the induction of vitellogenin in fish that may cause a change in sex from male to female.


In order to apply the SSD (Species Sensitivity Distribution) approach the available dataset should preferably contain more than 15, but at least 10 NOECs/EC10s from different species covering at least 8 taxonomic groups. For estimating an AA-EQS freshwater using the SSD approach the following taxa would normally need to be represented, i.e.

  • a fish species

  • a second family in the phylum Chordata

  • a crustacean

  • an insect

  • a family in a phylum other than Arthropoda or Chordata

  • a family in any order of insect or any phylum not represented

  • algae

  • a higher plant

The available chronic toxicity dataset for 17β-estradiol does not meet the data requirements for using the SSD approach. However, 17β-estradiol is a naturally occurring hormone and has a specific mode of action with effects on the reproductive physiology of vertebrates. The EU guidance notes that if a chemical is known to have a specific mode of action an SSD can be derived for only those taxa that are expected to be particularly sensitive.


Knowledge of the mode of action of 17β-estradiol suggests that fish and amphibians are likely to be the most sensitive organisms. This is supported by the available chronic toxicity data which indicates that fish are particularly sensitive to 17β-estradiol. Two studies were located on amphibians with LOECs in the range of 1000-2740ng/l reported for Rana pipens and Xenopus laevis. It is therefore proposed that an SSD is derived for β -estradiol based on data for the most sensitive taxonomic groups. It is expected that based on knowledge of the mode of action the chronic fish data the derivation of an SSD based on fish species only should be protective of other less sensitive group.


Reliable chronic NOEC values were available for 11 species of fish. An SSD has therefore been derived based on 11 fish species. For several species a number of different studies have been reported. The EU guidance on the derivation of an SSD indicates that where a number of data points are available for a species a geometric mean should be calculated to propose a single value for a species. This approach is not appropriate for all the available data as the studies are often non-standard and consider a range of endpoints and exposure durations and are therefore not directly comparable. In these cases, the lowest NOEC value is used for a species.


The SSD based on the fish data is shown below. The distribution fit to a log normal distribution.

Affected species

The HC5 from the above SSD is 0.8 ng/l. An assessment factor in the range of 1-5 should be applied to the HC5 based on the guidance given in the TGD-EQS (E.C., 2011). Based on the available dataset and the knowledge of the mode of action it is considered that an assessment factor of 2 (mode of toxic action is well understood, HC5 has been derived based on data for the most sensitive taxonomic group, a wide range of endpoints and durations including population relevant endpoints such as hatching, fertilisation, changes in sex ratio are included in the dataset) is appropriate for the derivation of the AA-EQS.

This gives a EQS of 0.4 ng/l.


The derivation of the AA-EQS has been reviewed by SCHER (Ref. 8). Both the reliability and the ecological relevance of the endpoints and taxonomic groups have been considered. Overall, the SCHER supports the proposed AA-EQS of 0.4 ng/l.


Derivation of PNEC for estrone

Specie Group

Organism

Effect

Duration

End-Point

Value (µg/L)

KLIMISH Score

Reference

Short Term Data

Algae

Pseudokirchneriella subcapitata

Growth (OECD 201)

72 h

EC50

>451

1

Ref. 71

Crustacean

Acartia tonsa

Mortality

48 h

NOEC

≥1000

2

Ref. 13

Crustacean

Neomysis integer

Mortality

96 h

LC50

>10000


Ref. 21

Copepoda

Tisbe battagliai

Mortality

10 d

LC50

≥100


Ref. 31

Echinoderm

Strongylocentrotus purpuratus

Development

96 h

EC50

6,4.4

2

Ref. 63

Long-term data

Algae

Pseudokirchneriella subcapitata

Growth (OECD 201)

72 h

NOEC

≥451

2

Ref. 71

Crustacean

Acartia tonsa

Development

5 d

EC10

250

2

Ref. 13

Copepoda

Tisbe battagliai

Sex ratio; Re-production (method #1)

21 d

NOEC

≥100

2

Ref. 31

Fish

Danio rerio

Vitellogenin induction, sex ratio (OECD Draft Test Guideline: A 40-day Juvenile Zebrafish Assay for screening of Endocrine Disrupting Chemicals)

40 d

NOEC

0.036

2

Ref. 25

Fish

Danio rerio

Vitellogenin 1 mRNA; XPA mRNA; XPC mRNA

4 d

NOEC

0.1


Ref. 58

Fish

Danio rerio

Ovarian Somatic Index (OSI)

21 d

EC10

0.195

2

Ref. 83

Fish

Danio rerio

Vitellogenin induction

21 d

EC10

0.139

2

Ref. 83

Fish

Oncorhynchus mykiss

VTG-Induction (adult)

21 d

NOEC

0.048

2

Ref. 64

Fish

Oncorhynchus mykiss

VTG-Induction (adult)

14 d

NOEC

0.0032

3

Ref. 77

Fish

Oryzias latipes

Feminization


NOEC

0.1


Ref. 55

Fish

Oryzias latipes

Imposex, intersex conditions

- d

NOEC

<0.008


Ref. 55

Fish

Oryzias latipes

Hatch

15 d

NOEC

0.005


Ref. 49

Fish

Oryzias latipes

Vitellogenin 1 mRNA

90 d

NOEC

0.005


Ref. 49

Fish

Oryzias javanicus

Time to hatch


NOEC

0.198


Ref. 41

Fish

Oryzias javanicus

Number of eggs; number of fertilized eggs, time to hatch

239 d

NOEC

0.484


Ref. 41

Fish

Pimephales promelas

Vitellogenin induction (method #2)

21 d

NOEC

0.01

2

Ref. 60

Fish

Pimephales promelas

Egg production


NOEC

0.098


Ref. 80

Fish

Pimephales promelas

Hatch

4 d

NOEC

0.781


Ref. 80

Fish

Pimephales promelas

Organ weight in relationship to body weight; Sexual development; stage; Vacuolization

21 d

NOEC

0.054


Ref. 20

Fish

Pimephales promelas

Vitellogenin

4 d

NOEC

0.034


Ref. 80

Fish

Pimephales promelas

Vitellogenin

21 d

NOEC

0.054


Ref. 20

Fish

Pimephales promelas

Number of eggs

21 d

NOEC

0.307


Ref. 76

Fish

Pimephales promelas

Plasma vitellogenin

21 d

NOEC

0.00074


Ref. 77

Fish

Salmo trutta

Vitellogenin

10 d

NOEC

0.063


Ref. 21


Method#1: Newly released 24 h old species were exposed to the substance dissolved in sea water. Effects monitored in terms of survival, development and sex ratio after 10 days at 20oC. Adult males and females were then paired and exposures continued to investigate effects on reproductive output after 21 days total exposure.

Method#2: The effects on the plasma vitellogenin level and gonadosomatic index of male fathead minnows (Pimephales promelas) was studied in a continuous flow exposure system for 21 days. All fish were acclimated to the test conditions for a period of 24 h before the start of the exposure.


Derivation of PNEC for estriol

Specie Group

Organism

Effect

Duration

End-Point

Value (µg/L)

KLIMISH Score

Reference

Short Term Data

-

-







Long-term data

Fish

Danio rerio

Vitellogenin (method#1)

18 d

NOEC

0.3


Ref. 35

Fish

Danio rerio

Survival (method#1)

40 d

NOEC

21.7


Ref. 35

Fish

Danio rerio

Sex ratio (method#1)

40 d

NOEC

6.7


Ref. 35

Fish

Oryzias latipes

Abnormal(method#2)

15 d

NOEC

0.4622


Ref. 49

Fish

Oryzias latipes

Hatch

(method#2)

15 d

NOEC

0.04651


Ref. 49

Fish

Oryzias latipes

Sex ratio

(method#2)

30 d

NOEC

4.517


Ref. 49

Fish

Oryzias latipes

Vitellogenin 1 mRNA; hatch; Organ weight in relationship to body weight

(method#2)

90 d

NOEC

0.04651


Ref. 49

Fish


Oryzias latipes

Estrogen receptor alpha mRNA; Organ weight in relationship to body weight

(method#2)

90 d

NOEC

4.517


Ref. 49

[1]It was found that the Vtg gene in male medaka fish can be induced by estriol at environmentally relevant concentration of 5 ng/L. However, it was noted that the Vtg mRNA changes are hardly ever reflected in concomitant changes in functional protein. Therefore, further studies were concluded to be needed to detect more sex hormone pathway gene expressions and functional protein levels to evaluate comprehensively estrogen potency of estriol in fish.


Method#1: A Fish Sexual Development Test (FSDT) (an extension of the existing OECD TG 210, fish early life stage toxicity test).

Method#2: Measurement of the impact of estriol on the embryonic development, sex differentiation, growth, and changes of functional genes related to reproduction of medaka (O. latipes) exposed to different concentrations of estriol during embryo-larval-, juvenile- and adult life stages. The corresponding time to hatching, hatchability, gross abnormalities, sex ratio, hepatosomatic index (HSI), gonadosomatic index (GSI), and changes of Vtg-I and ERα genes in livers of the fish exposed to estriol for 90 days were determined. Embryos less than 4 h post-fertilization were used in the exposure experiments. The embryos were exposed to nominal estriol concentrations of 5, 50, 500 and 5000 ng/L in charcoal-dechlorinated tap water for 15 days. Each exposure level had 3 replicate test concentrations with 30 embryos per replicate. In addition, solvent controls (SC) were included in the experimental design. The embryos in each group were placed in a glass dish and incubated on a 16:8 h light: dark photoperiod cycle at 25 ± 1 °C. Eighty percent of the test solution was renewed every 24 h. Hatchability, time to hatching and gross abnormalities were recorded. Once hatched, the hatched fry were continuously maintained at the same concentrations for the additional 15 days. After the additional 15 days of exposure, the genetic sex ratio was determined. Ten fish including five females and five males were assigned randomly to a 5-L glass aquarium and duplicate aquaria were used at each exposure level. Fish were continuously exposed to nominal estriol concentrations of 5, 50, 500, and 5000 ng/L and the SC was included in the experiment design. The solution was renewed every 24 h. Treated and control fish were exposed for another 60 days. The entire test duration was 90 days.


Noretisteron

Miljörisk: Risk för miljöpåverkan av noretisteron kan inte uteslutas då det inte finns tillräckliga ekotoxikologiska data.
Nedbrytning: Noretisteron är potentiellt persistent.
Bioackumulering: Noretisteron har låg potential att bioackumuleras.


Läs mer

Detaljerad miljöinformation

Environmental risk assessment of norethisterone acetate (NETA) in pharmaceutical products marketed in Sweden in 2021


This document includes environmental risk assessment of norethisterone acetate (NETA) in pharmaceutical products marketed in Sweden in 2021. The risk assessment is performed in accordance with the FASS.se guidelines on environmental classification of pharmaceuticals (ref. 1).


1. Norethisterone acetate (NETA)

Environmental risk: A valid risk quotient (PEC/PNEC) for NETA cannot be calculated due to lack of eco-toxicity data. NETA is very toxic to green algae (Desmodesmus subspicatus).

Degradation: NETA is potentially persistent in the environment.

Bioaccumulation: NETA has low potential for bioaccumulation.

PBT/vPvB assessment: NETA does not meet the criteria for classification as a PBT or vPvB substance.


Since the PEC/PNEC cannot be calculated due to lack of eco-toxicity data the following environmental risk phrase should be applied to pharmaceutical products containing NETA according to the criteria in ref. 1:

”Risk of environmental impact of norethisterone acetate (NETA) cannot be excluded due to lack of eco-toxicity data”.


1.1. The active pharmaceutical ingredient

Norethisterone acetate (NETA), also known as norethindrone acetate, is a steroidal progestin that is used as a hormonal contraceptive. It is an acetate ester of norethisterone which belongs to the class of steroid hormones.


Chemical name Norethisterone Acetate (NETA)

CAS no. 51-98-9

Molecular formula C22H28O3

Molecular weight 340.46 g/mol

Water solubility 4.4 mg/L at 20ºC


2. Environmental Risk Assessment (ERA)


2.1. Predicted Environmental Concentration (PEC)

According to ref. 1, PEC (Predicted Environmental Concentration) in surface water is calculated according to the following formula:

PEC (μg/L) = (A*109*(100-R))/(365*P*V*D*100) = 1.5*10-6*A*(100-R)

PECSurface water = 0.00242 µg/L


where:

  • A = 16.16 kg (total amount of API, including norethisterone (1.09250 kg) and norethisterone acetate (15.06532 kg), sold in Sweden in year 2019, data from IQVIA and provided by LIF, Ref. 7). Reduction of A may be justified based on metabolism data.

  • R = 0 % removal rate (due to loss by adsorption to sludge particles, by volatilization, hydrolysis or biodegradation). R = 0 if no data is available.

  • P = number of inhabitants in Sweden = 9 *106

  • V (L/day) = volume of wastewater per capital and day = 200 (ECHA default) (Ref. 9)

  • D = factor for dilution of wastewater by surface water flow = 10 (ECHA default) (Ref. 9)

Due to lack of data, the calculation of PEC of NETA in surface water is based on the following assumptions:

  • no metabolism in the body

  • no removal in wastewater treatment plants.

2.2. Predicted No Effect Concentration (PNEC)

Ecotoxicological studies

Algae (Desmodesmus subspicatus) (Ref. 4):

Acute toxicity

EC50 (growth inhibition) = 0.4 mg/L biomass; 0.6 mg/L growth rate (OECD 201)


Chronic toxicity

No data available.

Since EC50 < 1 mg/L, NETA is considered to be very toxic to the green alga Desmodesmus subspicatus.


Crustacean (Daphnia Magna) (Ref. 2 and 3):

Acute toxicity

EC50 48h (immobilisation) = 4.4 - 4.6 mg/L (OECD 202)


Chronic toxicity

No data available.

Since 1 mg/L < EC50 ≤ 100 mg/L, NETA is considered to be moderate acute toxic to crustaceans.


Fish:

Acute toxicity:

No data available.


Chronic toxicity

No data available.


Bacteria (Pseudomonas putida) (Ref. 5):

Acute toxicity:

EC50 (growth inhibition) = no inhibition at saturated concentration (ca. 7.8 mg/L) (Schering method no. TX.ME.572.3 and DIN 38412 L8, March 1991)


Chronic toxicity

No data available.


According to ref. 1, calculation of PNEC (Predicted No Effect Concentration) in surface water should be based on eco-toxicological data for three trophic levels. However, it has only been possible to present eco-toxicological data for two trophic levels i.e. green algae and daphnia. Furthermore, it is not known if these organisms are the most sensitive to NETA.


Consequently, it is not possible to calculate a valid PNEC according to the requirement in ref. 1 on basis of the available eco-toxicological data.


2.3. Environmental risk classification (PEC/PNEC ratio)

The risk quotient (PEC/PNEC) cannot be calculated for the reason stated in section 2.2.


3. Degradation


3.1. Biotic degradation

Ready biodegradability:

Test results in <10 % degradation in 28 days under “modified Sturm test” (OECD 301b) (ref. 6 and 7).


Inherent degradability:

No data available.


Simulation studies:

No data available.


3.2. Abiotic degradation

Hydrolysis:

No data available.


Photolysis:

No data available.


Since less than 10 % was degraded in the biodegradation test, NETA is thus not readily biodegradable. It cannot be excluded that NETA is potentially persistent in the aquatic environment according to ref. 1.


4. Bioaccumulation

Bioconcentration factor (BCF):

No data available.


Partitioning coefficient:

The octanol/water coefficient for NETA has been determined to LogPow = 3.7 (ref. 8).


Since LogPow < 4 it indicates that NETA has low potential for bioaccumulation according to ref. 1.


5. Excretion

No data available.


6. PBT and vPvB assessment

Considering all three PBT aspects stated in EU REACH criteria, NETA does not meet the criteria as a PBT or vPvB substance (Ref. 9).


7. References

  1. Environmental classification of pharmaceuticals at www.fass.se – Guidance for pharmaceutical companies 2012.

  2. Research report from Schering, no. X211: Acute immobilization test of norethisterone with Daphnia magna, 02 May 1997.

  3. Research report from Schering, no. X224 - draft: Acute immobilization test of norethisterone acetate (ZK 5422) with Daphnia magna, 23 June 1997.

  4. Research report from Schering, no. A08345: Growth inhibition test of norethisterone acetate (ZK 5422) on the green algae Desmodesmus subspicatus, 20 January 2004.

  5. Research report from Schering, no. X126: Growth inhibition test of norethisterone on the bacterium Pseudomonas putida, 12. aug. 1996

  6. Research report from Schering, no. X128: Study on the biodegradability of norethisterone in the CO2-evolution test (modified Sturm-test), 12 Aug. 1996

  7. Research report from Schering, no. X308 – Draft: Study on the biodegradability of norethisterone acetate in the CO2-evolution test (modified Sturm test), 17 May 1999.

  8. Report from Schering, LJ03.

  9. ECHA, European Chemicals Agency. 2008 Guidance on information requirements and chemical safety assessment. http://guidance.echa.europa.eu/docs/guidance_document/information_requirements_en.htm