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Methodology for evidence
screening of chemicals developed
in the context of an impact
assessment on criteria to identify
endocrine disruptors
Brussels, 6th November 2015
Sharon Munn
Sander van der Linden
Alfonso Lostia
Systems Toxicology
Institute for Health & Consumer Protection
DISCLAIMER: This presentation and its contents do not constitute an
official position of the European Commission or any of its services.
Neither the European Commission nor any person acting on behalf of
the Commission is responsible for the use which might be made of
this presentation or its contents
GENERAL OUTLINE
OVERVIEW – Sharon Munn
DATA SOURCES AND DATASHEET POPULATION – Sander van der Linden
DATA ANALYSIS AND CHEMICAL SELECTION – Alfonso Lostia
2
3
Disclaimer
The screening methodology was developed in the context of an impact
assessment and cannot replace the regulatory decision making process of
determining the chemicals considered as having endocrine-disrupting
properties.
The methodology aims at estimating which substances may fall under the
different ED IA policy options.
The methodology is based on a screening of existing evidence (desk
work). No additional experimental data, experimental screening or
discussion in scientific committees is foreseen.
The screening does not substitute full evaluations of individual substances
to be carried out in the context of chemical legislation. Therefore, the
screening does not pre-empt the regulatory conclusions that may
eventually be made on the basis of such evaluations.
Scope of the screening methodology
 To assess in a limited amount of time the potential endocrine
disrupting properties of approximately 700 substances subject to:
• Plant Protection Products Regulation (PPPR) (approx. 400)
• Biocidal Products Regulation (BPR) (approx. 100)
• REACH Regulation
• Cosmetic Products Regulation
• Water Framework Directive (WFD)
 Apply the four policy options for criteria for identifying EDs in EC
Roadmap based on available data
 http://ec.europa.eu/smart-
regulation/impact/planned_ia/docs/2014_env_009_endocrine_disr
uptors_en.pdf
Sample of approx. 200
substances
Interim criteria set in the BPR and the PPPR to be applied.
Substances are or may be considered as EDs if they are or have to be
classified as:
• CLP "carcinogenic category 2" and "toxic for reproduction category 2",
OR
• CLP "toxic for reproduction category 2" and "toxic effects on the
endocrine organs"
Substances not fulfilling above criteria will be considered not ED according
to interim criteria
5
Option 1. No policy change.
An endocrine disrupter is an exogenous substance or mixture that alters
function(s) of the endocrine system* and consequently causes
adverse health effects in an intact organism, or its progeny, or
(sub)populations” (IPCS/WHO, 2002).
Two elements: adversity and *endocrine disrupting mode of action
6
Option 2. EDs identified according to
WHO/IPCS definition
Need evidence for both
Option 3 proposes two additional categories based on the strength of
evidence for fulfilling the WHO/IPCS definition:
• Cat I (fulfils WHO definition, equivalent to option 2)
• Cat II (suspected ED) –evidence insufficient to place in Cat I
• Cat III (endocrine active substance) –evidence insufficient to place in Cat
II
7
Option 3: WHO definition and additional
categories
Substances not fulfilling any of these
categories designated 'unclassified'
Potency refers to the amount of substance necessary to produce a certain
effect. A substance A which produces an effect at 5 mg is 10 times more
potent than a substance B which produces the same effect at 50 mg.
Applying a potency cut-off at 10 mg,
Substance A confirmed ED
Substance B not considered ED
8
Option 4: WHO definition with the
inclusion of potency
A
B
INFORMATION REQUIREMENTS
AND DATA SOURCES
9
Adversity ED
Endocrine activity
Plausiblelink
Potency(option4)
Adversity non-ED
Option 1. Interim criteria
ED / unclassified
Option 2. WHO definition
ED / unclassified
Option 3. WHO definition & categories
ED / suspected ED / endocrine active / unclassified
Option 4. WHO definition & potency
ED / unclassified
CLP classification
Information requirements
Focus
• Focus on EATS (Estrogens, Androgens, Thyroid,
Steroidogenesis), so endocrine disruption via other modes of
action not assessed
• Mammalian toxicity: reproductive toxicity, carcinogenicity and
repeated dose toxicity
• Ecotoxicology focus on fish and amphibians, to a limited extent
birds (not invertebrates)
11
OECD CONCEPTUAL FRAMEWORK
Level 1: Existing data and non-test information (incl. QSAR)
Level 2: In vitro assays providing data about selected endocrine mechanism(s)/pathway(s)
Level 3: In vivo assays providing data about selected endocrine mechanism(s)/pathway(s)
Level 4: In vivo assays providing data on adverse effects on endocrine-relevant endpoints
Level 5: In vivo assays providing more comprehensive data on adverse effects on
endocrine-relevant endpoints (more extensive part of organism life cycle)
12
OECD Guidance Document 150
Rely on already existing readily accessible information
Primarily: evaluated data from the existing regulatory assessment
reports, including EFSA conclusions, MS Draft Assessment Reports, MS
Competent Authority Reports, REACH restriction dossiers, Support
documents for identification of SVHC, opinions of Scientific Committee on
Consumer Safety (SCCS).
Supplemented by additional information: gathered from databases
focusing on endocrine effects including non-regulatory studies such as
JRC's Endocrine Active Substances Information System, TEDX, SIN list,
ToxCast, EDSP WoE analyses and targeted literature searching
13
Data Gathering: sources
ASSUMPTIONS AND LIMITATIONS
Regarding data quality
• All data in the regulatory documents are assessed (peer
reviewed) and relevant by default
• Published scientific literature are reliable
Regarding data relevance
• All mammalian data are human relevant, unless specifically
stated otherwise
• Understanding of the endocrine system of many invertebrate
species is limited, the focus for ecotoxicological effects is on
mammals, fish, amphibians and to a limited extent on birds
14
DECISION-MAKING WORKFLOW
15
Classified as
Reproductive toxicant
Cat 2?
Classified as carcinogen
Cat 2?
Yes Considered to be ED
(for regulatory
purposes)
Yes
Unclassified
No No
Toxic to endocrine
organ?
No Yes
Option 1 – Interim Criteria
Options 2 to 4 ED CAT I, II, III
17
Collect ED relevant
toxicological data
Data processing
Apply decision
tree including
limited WoE
Data Processing for options 2 to 4
18
Data processing
Options 2 & 3
ED CAT I, II, III
19
Apply decision
tree including
limited WoE
Path 1 leading to Cat I
20
Path 2 leading to Cat I
21
Path 3 leading to Cat I
22
Path 4 leading to Cat I
23
Options 2 & 3 – ED Categories II & III
Cat II
• Specific in vivo effects, indicating endocrine specific effects (level 4 and 5) not
secondary to generalised systemic toxicity, but without supporting
mechanistic evidence (in vivo, in vitro), plausibly linking to observed adverse in
vivo effects
• Positive mechanistic in vivo (level 3) evidence, without in vivo evidence of
adversity from level 4 and 5 assays
Cat III
• No in vivo evidence indicating endocrine specific effects (level 4 and 5) but
mechanistic evidence in vitro.
Unclassified
• No in vivo effects, indicating endocrine specific effects (level 4 and 5) and no
mechanistic evidence (in vivo, in vitro).
24
Assessment under option 4 - potency
Potency-based STOT-RE Cat 1 & 2 trigger values (from CLP)
proposed as cut-off criteria
25
Indicate for all EDs under option 2 whether there is an
observed ED effect at or below the designated
guidance value
If above guidance value not considered ED
(unclassified) for purposes of IA.
26
RESULTS
Practical Implementation
 Draft Screening Methodology submitted to contractor,
includes:-
 data sources to be consulted
 type of data to extract
 template for recording and summarising data
 decision trees to follow to apply options for criteria in a
systematic manner to 700 substances,
27
Data sources and
datasheet population
Brussels, 6th November 2015
Sander van der Linden
Systems Toxicology
Institute for Health & Consumer Protection
DISCLAIMER: This presentation and its contents do not constitute an
official position of the European Commission or any of its services.
Neither the European Commission nor any person acting on behalf of
the Commission is responsible for the use which might be made of
this presentation or its contents
29
Workflow of screening methodology
Source Documents
2. Data classification
• In vitro
• Mammalian toxicity
• Wildlife toxicity
1. Data collection
Adversity ED
Endocrine activity
Plausiblelink
Potency(option4)
Adversity non-ED
Option 1. Interim criteria
ED / unclassified
Option 2. WHO definition
ED / unclassified
Option 3. WHO definition & categories
ED / suspected ED / endocrine active / unclassified
Option 4. WHO definition & potency
ED / unclassified
CLP classification
Information requirements
Classification as C or R (cat 2)
Harmonized classification
• Plant protection products (EU Pesticide Database)
• Biocidal products (C&L Inventory)
• Other (C&L Inventory)
Proposed classification (if newer)
• Plant protection products (DAR/EFSA conclusion)
• Biocidal products (CAR)
• Other (CLH report, ECHA website)
• If present in more than one category: all collected
• If no classification found, indicated in data sheet
31
For the purpose of impact assessment…
Endocrine organ
• Hormone secreting organs and their targets that are included in
the OECD GD 150
This includes: mammary gland, accessory sex glands (e.g. Cowper’s gland,
seminal vesicles, prostate gland, bulbourethral glands, Glans penis), testis, epididymis,
penis, cervix, uterus (endometrium), vagina, hypothalamus, pituitary, thyroid,
adrenals, ovaries, placenta, Levator ani/bulbocavernosus muscles (LABC)
32
Adversity ED
Endocrine activity
Plausiblelink
Potency(option4)
Adversity non-ED
Option 1. Interim criteria
ED / unclassified
Option 2. WHO definition
ED / unclassified
Option 3. WHO definition & categories
ED / suspected ED / endocrine active / unclassified
Option 4. WHO definition & potency
ED / unclassified
CLP classification
Information requirements
Source documents for toxicological data
Rely on already existing readily accessible information
Primarily: evaluated data from the existing regulatory assessment reports,
including EFSA conclusions, MS Draft Assessment Reports, REACH
restriction dossiers, Support documents for identification of SVHC, MS
Competent Authority Report, opinions of Scientific Committee on Consumer
Safety.
Supplemented by additional sources
Open literature
• For all compounds, a literature search is performed
• SCOPUS: compound name & endocrine
• SciFinder: concept “endocrine disruption” & substance identifier based on CAS
ToxCast (US EPA)
• US EPA database with ED relevant in vitro assay data
Endocrine Disruptor Screening Program (US EPA)
 WoE analysis (summarized data) of ED relevant in vitro and in vivo assays,
focusing on estrogens, androgens, thyroid and steroidogenesis
ToxRefDB (US EPA)
• Database with ED relevant in vivo data.
35
Supplemented by additional sources
Open literature
• For all compounds, a literature search is performed
• SCOPUS: compound name & endocrine
• SciFinder: concept “endocrine disruption” & substance identifier based on CAS
ToxCast (US EPA)
• US EPA database with ED relevant in vitro assay data
Endocrine Disruptor Screening Program (US EPA)
 WoE analysis (summarized data) of ED relevant in vitro and in vivo assays,
focusing on estrogens, androgens, thyroid and steroidogenesis
ToxRefDB (US EPA)
• Database with ED relevant in vivo data.
36
Check for additional sources
The Endocrine Disruption Exchange (TEDX)
• List of chemicals that show the potential to affect the endocrine system
(reference(s) provided)
Substitute It Now (SIN)
•List of substances identified by NGO ChemSec as Substances of Very High
Concern, including ED criteria (reference(s) provided)
Public consultation
•List of references supplied by public consultation
Community Rolling Action Plan (ECHA)
• Flag presence of CoRAP if ED motivated
37
Type of studies to be captured
38
Mammalian toxicity
• developmental toxicity, reproductive toxicity, carcinogenicity and
(sub)chronic (repeated dose) toxicity
Ecotoxicology
• non-acute toxicity, reproductive toxicity in fish and amphibians
(and birds to a limited extent)
Focus on test methods specified within the OECD CF
(OECD GD 150 TG or equivalent)
Types of effects to be captured
• Production/action of steroid hormones (estrogen, testosterone),
impacts on reproduction (fertility, abnormalities in development,
onset of puberty) and thyroid hormones (impact on growth and
development)…
• In vitro and in vivo mechanistic assays informing on endocrine
modes of action (EATS)
40
• Species: rat
• Strain: Sprague-Dawley
• Number of animals per dose: 10
• Route of administration: oral
• Method of administration: feed
• Purity: 96 %
• Dose range
• Male: 0.5, 2, 10 ppm
• Female: 0.5, 2, 10/6 ppm
Structure of data template
• Spreadsheet based (Excel): versatile, easy to use
• 40 columns for data details
• Structured template to capture/store diverse types of data from
variety of sources (databases, scientific literature)
• All relevant effects captured from study (study ID)
• Capture all ED relevant effects
• Capture general toxicity effect at similar or lower dose (interpretation)
• Each row describes one effect at single dose from one study
41
General substance information
• Compound name
• CAS number
• CLP (harmonized), including date of classification
• CLP (proposed), including date of classification
• Co-RAP (concern - justification)
• Reason for inclusion on the SIN List
• Other information/comments
42
Data organisation
Study
information
Study details Effect Indications
Guideline No. animals Generation OECD CF level
Source Purity Sex OECD 150
Reference Route of administration Lifestage Comparable to OECD150
Date Doses tested (+units) Effect dose Pathway
Species Duration (+units) Effect type Human relevance
Effect target Adjusted effect dose
Description
Direction
43
Data Template
4410 November 2015
Effect type
In life observation
Organ Weight
Organ histopathology
Reproductive
Developmental
Abnormalities
Clinical chemistry
No relevant effect observed
[Not in list]
45
Food consumption
Body weight
Mortality
Maternal mortality
Systemic toxicity
Pup mortality
Litter/pup weight
Growth
Haematological
parameters
[Not in list]
Accessory sex glands weight
Adrenals weight
Coagulating gland weight
Cervix weight
Cowpers glands weight
Epididymis weight
Glans penis weight
LABC weight
Liver weight
Mammary gland weight
Ovary weight
Pituitary weight
Placental weight
Prostate weight
Seminal vesicles weight
Testis weight
Effect target
Age at first estrus
Age at preputial separation
Age at Vaginal opening
Birth index
Dystocia
Estrus cyclicity
Fertility
Gestational interval
Gestation length
Gestation Index
Intercurrent deaths
Lactation index
Litter size
Litter viability
Number of implantations,
corpora lutea
Categorisation of effects
46
Adversity ED
Endocrine activity
Plausiblelink
Potency(option4)
Adversity non-ED
Option 1. Interim criteria
ED / unclassified
Option 2. WHO definition
ED / unclassified
Option 3. WHO definition & categories
ED / suspected ED / endocrine active / unclassified
Option 4. WHO definition & potency
ED / unclassified
CLP classification
Information requirements
Categorisation under option 4
• No consensus on potency cut-off values
• STOT RE values proposed in literature
• Determine whether EATS specific effects still occur at or below
this dose
Note: these reference values refer to effects seen in a standard 90-
day toxicity study in rats
48
Route of exposure STOT-RE Cat 1 STOT-RE Cat 2
Oral 10 mg/kg bw/day 100 mg/kg bw/day
Dermal 20 mg/kg bw/day 200 mg/kg bw/day
Inhalation (vapour) 0.2 mg/l/6h/day 1.0 mg/l/6h/day
Inhalation (dust/mist/fume) 0.02 mg/l/6h/day 0.2 mg/l/6h/day
Time adjustments of the guidance value
Following Haber's rule:
• for a 28-day study the guidance values above are increased by a
factor of three
• for a 2-year study the guidance values are decreased by a factor
of eight.
Allometric scaling and different life spans of species for Repeated
Dose Toxicity not yet been integrated into the CLP guidance
The same guidance values for rat, mouse and dog studies have
been used
49
Equivalent guidance values for 28-day and
90-day studies for rat
Study type Unit Category 1
90-day
Category 1
28-day
Category 2
90-day
Category 2
28-day
Oral mg/kg
bw/d
≤ 10 ≤ 30 ≤ 100 ≤ 300
Dermal mg/kg
bw/d
≤ 20 ≤ 60 ≤ 200 ≤ 600
Inhalation (gas) ppmV/
6 h/d
≤ 50 ≤ 150 ≤ 250 ≤ 750
Inhalation
(vapour)
mg/l/
6 h/d
≤ 0.2 ≤ 0.6 ≤ 1 ≤ 3
Inhalation
(dust/mist/fume)
mg/l/
6 h/d
≤ 0.02 ≤ 0.06 ≤ 0.2 ≤ 0.6
50
Data Analysis and
Chemical Selection
Brussels, 6th November 2015
Alfonso Lostia
Systems Toxicology
Institute for Health & Consumer Protection
DISCLAIMER: This presentation and its contents do not constitute an
official position of the European Commission or any of its services.
Neither the European Commission nor any person acting on behalf of
the Commission is responsible for the use which might be made of
this presentation or its contents
Data Analysis
52
53
Workflow of screening methodology
• In vitro
• Mammalian toxicity
• Wildlife toxicity
1. Data collection
2. Data organisation3. Data Analysis
Policy Options
Source Documents
1
2
3
4
54
Workflow of screening methodology
• In vitro
• Mammalian toxicity
• Wildlife toxicity
1. Data collection
2. Data organisation3. Data Analysis
Policy Options
Source Documents
1
2
3
4
55
Stepwise approach to perform Data Analysis
Data collected in the template
56
Stepwise approach to perform Data Analysis
Data collected in the template
Data processing
57
Stepwise approach to perform Data Analysis
Data collected in the template
Data processing
Apply decision tree with limited WoE
5810 November 2015
Stepwise approach to perform Data Analysis
Data collected in the template
Data processing
Apply decision tree with limited WoE
WoE:
• Specificity: evaluating if EATS-endpoints are likely to be
secondary effects of general systemic toxicity
• Consistency of effects observed / pattern of effects (within
and between studies)
• Biological plausibility of effects observed
Complexity of Data Analysis
Going through all data captured in the template, to perform data-analysis, can be very complex
and time-consuming.
In the template there are 40 columns and potentially hundreds of rows depending on
substance.
5910 November 2015
There is the need to facilitate the data analysis by ensuring for substance evaluation:
• Usage of all data collected
• Transparency and traceabilty
• Medium-throughput (700 substances to be screened in a limited amount of time)
Can we find a simpler way to visualise
all the data to facilitate data-analysis?
Data analysis: build a data-matrix
Study 1
Study 2
Study 3
Study 4
Study 5
Endpoint1
Endpoint2
Endpoint3
Endpoint4
Endpoint5
Endpoint6
Data analysis: build a data-matrix
Study 1
Study 2
Study 3
Study 4
Study 5
Endpoint1
Endpoint2
Endpoint3
Endpoint4
Endpoint5
Endpoint6
For each study, a bit string is constructed
displaying all endpoints observed
Data matrix
62
Study design Endpoints
Information from 4 different columns
of the template is summarised in each
box:
• Effect direction
• Effect dose
• Effect description
• Effect determination
Data matrix
63
Study design Endpoints
Information from 4 different columns of
the template is summarised in each box:
• Effect direction
• Effect dose
• Effect description
• Effect determination
The data matrix is automatically
built from the template
Examples Data Matrix
64
Example 1
Morethan30studies
Endpoints specific of EATS pathways General adversity
Testosterone
levels
Testis
histopathology
and weight
Ano-genital
distance
Genitalia
abnormalities
6610 November 2015
Example 2
Most endpoints related to General
adversity
Few endpoints that may or
may not indicative of EATS
Body weight
Food
consumption
Systemic
Toxicity
Pup weight
Pup mortality
Organising the data facilitates the analysis
67
Chemical Selection
68
Scope of Chemical Selection
1. Chemicals to be screened take in account the following EU legislations:
• Plant Protection Products Regulation (PPPR)
• Biocides Products Regulation (BPR)
• REACH Regulation
• Cosmetics Regulation
• Water Framework Directive (WFD)
2. ED IA analysis to be performed on about 700 chemicals
3. For the selected chemicals, gather mechanistic-toxicological data to
then apply the four policy options for identifying EDs.
69
The selection of the substances considered time constraints and efficient use of public money. It
was based on the following principles:
• Transparency
• Objectivity, securing that all possible scenarios are covered to assess the impact of the various options for
criteria at least on a qualitative basis
• Consideration of availability of data, which are crucial for the screening assessment of ED properties.
• The selection should (as far as possible) not lead to a bias in the assessment of the four options.
For PPP and BPs, all approved substances were considered, and then non relevant substances
were taken out from the list.
For REACH and Cosmetics, the list was started with substances where information and
concerns were already identified. If the list ends up being longer than the available resources, a
selection would be done randomly.
The substances falling under the WFD were covered by the selection under REACH, Cosmetics,
PPPs and BPs and not listed separately.
Principles for Chemical Selection
Compile the list of all relevant chemicals from PPPR and BPR
Expand the initial list, by adding chemicals from REACH regulation,
Cosmetics Regulation and WFD
Cross-check if these chemicals are also listed in other regulatory /
toxicological / NGO databases that can be used to collect further
available mechanistic & toxicological data for the ED IA
71
Chemical selection: strategy
1st Step:
2nd Step:
3rd Step:
All approved chemical active substances from EU Pesticides database (DG
SANTE) and all Biocidal Active Substances (ECHA)
72
1st Step:
Selection of chemicals under PPPR and BPR
The following substances are not included:
• Microorganisms (living organisms, NOT chemicals)
• Basic substances (being substances of no concern and no inherent capacity to cause endocrine
disrupting effects, and where the approval procedures follow particular rules)
• Low risk substances (defined in Annex II to Regulation (EC) 1107/2009 as, among others properties,
not deemed to be an endocrine disruptor)
• Natural extracts, mixtures, or repellents
• Attractants (pheromones) or plant hormones
• Some inert substances, salts, acids
1. All substances on the Candidate List already identified as SVHCs because of ED
concerns under Art. 57(f)
2. All substances for which an SVHC opinion on the identification of the substance as
SVHC due to its endocrine disrupting properties was provided by the Member State
Committee at ECHA
3. All substances on the Candidate list identified as SVHC because of reprotoxicity
1A/1B
4. All substances listed in Annex XVII for restrictions due to a ED concern or because
of having a harmonised classification as reprotoxic 1A/1B
2nd Step:
Selection of substances under REACH Regulation
5. All substances placed on CoRAP due to ED concern
6. All substances discussed in the Endocrine Disruptor Expert Group
7. Substances flagged as SIN list substances because of ED concerns excluding those
which are pesticides, biocides and non-registered substances
8. Substances flagged as Category 1 and 2 in the Commission’s priority list of
substances for further testing of their role in endocrine disruption (EASIS)
excluding pesticides, biocides and non-registered substances
2nd Step:
Selection of substances under REACH Regulation
• Most substances for which an opinion of the Scientific Committee on Consumer Safety
(SCCS) was provided, which contained a discussion on their endocrine disrupting potential
• Most substances for which an SCCS opinion was provided due to the their potential or de
facto classification as CMR1A/1B or CMR2 under the CLP Regulation
• Most substances not classified as CMR but for which SCCS expressed some concern on
toxicity endpoints
• Substances for which concern was raised by stakeholders / Member States on potential
endocrine disrupting properties
75
2nd Step:
Selection of substances under Cosmetics Regulation
Cross-check if the chemicals selected from PPPR, BPR, REACH Regulation,
Cosmetic Regulation and WFD are present in any of these databases/lists:
• US-EPA Endocrine Disruptors Screening Program
• ToxCast: database with in vitro data from US EPA
• EASIS
• Tedx: list of potential Eds
• SIN: list of potential EDs compiled by NGO ChemSec
76
3rd Step:
overlap of chemicals with other databases to collect
additional data for ED IA
77
Inventory of chemicals to be screened
Indicate where to find relevant information to facilitate data-collection
Concluding Remarks
7810 November 2015
Concluding Remarks
79
 Contractor applied methodology to sample subset (35 substances) to
test practical operability
 Fine tuning/adjustments were made according to feedback
 Methodology currently being applied in a phased manner to PPPs,
Biocides and selection from REACH, cosmetic ingredients and priority
substances under Water Framework Directive
 Strike appropriate balance between resources, time constraints and
depth of analysis
 The JRC is continually supporting the contractor to ensure the faithful
implementation of the methodology
Concluding Remarks
80
 To keep in mind:
 The results of the screening do not constitute in any event a list of
recognised endocrine disruptors.
 Therefore, the results do not have any regulatory consequences,
nor do they pre-empt any future decision regarding identification of
a chemical substance as an endocrine disruptor.
Joint Research Centre (JRC)
The European Commission’s in-house science service
www.jrc.ec.europa.eu
Serving society - Stimulating innovation - Supporting
legislation

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Methodology for EU EDC screening

  • 1. Methodology for evidence screening of chemicals developed in the context of an impact assessment on criteria to identify endocrine disruptors Brussels, 6th November 2015 Sharon Munn Sander van der Linden Alfonso Lostia Systems Toxicology Institute for Health & Consumer Protection DISCLAIMER: This presentation and its contents do not constitute an official position of the European Commission or any of its services. Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this presentation or its contents
  • 2. GENERAL OUTLINE OVERVIEW – Sharon Munn DATA SOURCES AND DATASHEET POPULATION – Sander van der Linden DATA ANALYSIS AND CHEMICAL SELECTION – Alfonso Lostia 2
  • 3. 3 Disclaimer The screening methodology was developed in the context of an impact assessment and cannot replace the regulatory decision making process of determining the chemicals considered as having endocrine-disrupting properties. The methodology aims at estimating which substances may fall under the different ED IA policy options. The methodology is based on a screening of existing evidence (desk work). No additional experimental data, experimental screening or discussion in scientific committees is foreseen. The screening does not substitute full evaluations of individual substances to be carried out in the context of chemical legislation. Therefore, the screening does not pre-empt the regulatory conclusions that may eventually be made on the basis of such evaluations.
  • 4. Scope of the screening methodology  To assess in a limited amount of time the potential endocrine disrupting properties of approximately 700 substances subject to: • Plant Protection Products Regulation (PPPR) (approx. 400) • Biocidal Products Regulation (BPR) (approx. 100) • REACH Regulation • Cosmetic Products Regulation • Water Framework Directive (WFD)  Apply the four policy options for criteria for identifying EDs in EC Roadmap based on available data  http://ec.europa.eu/smart- regulation/impact/planned_ia/docs/2014_env_009_endocrine_disr uptors_en.pdf Sample of approx. 200 substances
  • 5. Interim criteria set in the BPR and the PPPR to be applied. Substances are or may be considered as EDs if they are or have to be classified as: • CLP "carcinogenic category 2" and "toxic for reproduction category 2", OR • CLP "toxic for reproduction category 2" and "toxic effects on the endocrine organs" Substances not fulfilling above criteria will be considered not ED according to interim criteria 5 Option 1. No policy change.
  • 6. An endocrine disrupter is an exogenous substance or mixture that alters function(s) of the endocrine system* and consequently causes adverse health effects in an intact organism, or its progeny, or (sub)populations” (IPCS/WHO, 2002). Two elements: adversity and *endocrine disrupting mode of action 6 Option 2. EDs identified according to WHO/IPCS definition Need evidence for both
  • 7. Option 3 proposes two additional categories based on the strength of evidence for fulfilling the WHO/IPCS definition: • Cat I (fulfils WHO definition, equivalent to option 2) • Cat II (suspected ED) –evidence insufficient to place in Cat I • Cat III (endocrine active substance) –evidence insufficient to place in Cat II 7 Option 3: WHO definition and additional categories Substances not fulfilling any of these categories designated 'unclassified'
  • 8. Potency refers to the amount of substance necessary to produce a certain effect. A substance A which produces an effect at 5 mg is 10 times more potent than a substance B which produces the same effect at 50 mg. Applying a potency cut-off at 10 mg, Substance A confirmed ED Substance B not considered ED 8 Option 4: WHO definition with the inclusion of potency A B
  • 10. Adversity ED Endocrine activity Plausiblelink Potency(option4) Adversity non-ED Option 1. Interim criteria ED / unclassified Option 2. WHO definition ED / unclassified Option 3. WHO definition & categories ED / suspected ED / endocrine active / unclassified Option 4. WHO definition & potency ED / unclassified CLP classification Information requirements
  • 11. Focus • Focus on EATS (Estrogens, Androgens, Thyroid, Steroidogenesis), so endocrine disruption via other modes of action not assessed • Mammalian toxicity: reproductive toxicity, carcinogenicity and repeated dose toxicity • Ecotoxicology focus on fish and amphibians, to a limited extent birds (not invertebrates) 11
  • 12. OECD CONCEPTUAL FRAMEWORK Level 1: Existing data and non-test information (incl. QSAR) Level 2: In vitro assays providing data about selected endocrine mechanism(s)/pathway(s) Level 3: In vivo assays providing data about selected endocrine mechanism(s)/pathway(s) Level 4: In vivo assays providing data on adverse effects on endocrine-relevant endpoints Level 5: In vivo assays providing more comprehensive data on adverse effects on endocrine-relevant endpoints (more extensive part of organism life cycle) 12 OECD Guidance Document 150
  • 13. Rely on already existing readily accessible information Primarily: evaluated data from the existing regulatory assessment reports, including EFSA conclusions, MS Draft Assessment Reports, MS Competent Authority Reports, REACH restriction dossiers, Support documents for identification of SVHC, opinions of Scientific Committee on Consumer Safety (SCCS). Supplemented by additional information: gathered from databases focusing on endocrine effects including non-regulatory studies such as JRC's Endocrine Active Substances Information System, TEDX, SIN list, ToxCast, EDSP WoE analyses and targeted literature searching 13 Data Gathering: sources
  • 14. ASSUMPTIONS AND LIMITATIONS Regarding data quality • All data in the regulatory documents are assessed (peer reviewed) and relevant by default • Published scientific literature are reliable Regarding data relevance • All mammalian data are human relevant, unless specifically stated otherwise • Understanding of the endocrine system of many invertebrate species is limited, the focus for ecotoxicological effects is on mammals, fish, amphibians and to a limited extent on birds 14
  • 16. Classified as Reproductive toxicant Cat 2? Classified as carcinogen Cat 2? Yes Considered to be ED (for regulatory purposes) Yes Unclassified No No Toxic to endocrine organ? No Yes Option 1 – Interim Criteria
  • 17. Options 2 to 4 ED CAT I, II, III 17 Collect ED relevant toxicological data Data processing Apply decision tree including limited WoE
  • 18. Data Processing for options 2 to 4 18 Data processing
  • 19. Options 2 & 3 ED CAT I, II, III 19 Apply decision tree including limited WoE
  • 20. Path 1 leading to Cat I 20
  • 21. Path 2 leading to Cat I 21
  • 22. Path 3 leading to Cat I 22
  • 23. Path 4 leading to Cat I 23
  • 24. Options 2 & 3 – ED Categories II & III Cat II • Specific in vivo effects, indicating endocrine specific effects (level 4 and 5) not secondary to generalised systemic toxicity, but without supporting mechanistic evidence (in vivo, in vitro), plausibly linking to observed adverse in vivo effects • Positive mechanistic in vivo (level 3) evidence, without in vivo evidence of adversity from level 4 and 5 assays Cat III • No in vivo evidence indicating endocrine specific effects (level 4 and 5) but mechanistic evidence in vitro. Unclassified • No in vivo effects, indicating endocrine specific effects (level 4 and 5) and no mechanistic evidence (in vivo, in vitro). 24
  • 25. Assessment under option 4 - potency Potency-based STOT-RE Cat 1 & 2 trigger values (from CLP) proposed as cut-off criteria 25 Indicate for all EDs under option 2 whether there is an observed ED effect at or below the designated guidance value If above guidance value not considered ED (unclassified) for purposes of IA.
  • 27. Practical Implementation  Draft Screening Methodology submitted to contractor, includes:-  data sources to be consulted  type of data to extract  template for recording and summarising data  decision trees to follow to apply options for criteria in a systematic manner to 700 substances, 27
  • 28. Data sources and datasheet population Brussels, 6th November 2015 Sander van der Linden Systems Toxicology Institute for Health & Consumer Protection DISCLAIMER: This presentation and its contents do not constitute an official position of the European Commission or any of its services. Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this presentation or its contents
  • 29. 29 Workflow of screening methodology Source Documents 2. Data classification • In vitro • Mammalian toxicity • Wildlife toxicity 1. Data collection
  • 30. Adversity ED Endocrine activity Plausiblelink Potency(option4) Adversity non-ED Option 1. Interim criteria ED / unclassified Option 2. WHO definition ED / unclassified Option 3. WHO definition & categories ED / suspected ED / endocrine active / unclassified Option 4. WHO definition & potency ED / unclassified CLP classification Information requirements
  • 31. Classification as C or R (cat 2) Harmonized classification • Plant protection products (EU Pesticide Database) • Biocidal products (C&L Inventory) • Other (C&L Inventory) Proposed classification (if newer) • Plant protection products (DAR/EFSA conclusion) • Biocidal products (CAR) • Other (CLH report, ECHA website) • If present in more than one category: all collected • If no classification found, indicated in data sheet 31
  • 32. For the purpose of impact assessment… Endocrine organ • Hormone secreting organs and their targets that are included in the OECD GD 150 This includes: mammary gland, accessory sex glands (e.g. Cowper’s gland, seminal vesicles, prostate gland, bulbourethral glands, Glans penis), testis, epididymis, penis, cervix, uterus (endometrium), vagina, hypothalamus, pituitary, thyroid, adrenals, ovaries, placenta, Levator ani/bulbocavernosus muscles (LABC) 32
  • 33. Adversity ED Endocrine activity Plausiblelink Potency(option4) Adversity non-ED Option 1. Interim criteria ED / unclassified Option 2. WHO definition ED / unclassified Option 3. WHO definition & categories ED / suspected ED / endocrine active / unclassified Option 4. WHO definition & potency ED / unclassified CLP classification Information requirements
  • 34. Source documents for toxicological data Rely on already existing readily accessible information Primarily: evaluated data from the existing regulatory assessment reports, including EFSA conclusions, MS Draft Assessment Reports, REACH restriction dossiers, Support documents for identification of SVHC, MS Competent Authority Report, opinions of Scientific Committee on Consumer Safety.
  • 35. Supplemented by additional sources Open literature • For all compounds, a literature search is performed • SCOPUS: compound name & endocrine • SciFinder: concept “endocrine disruption” & substance identifier based on CAS ToxCast (US EPA) • US EPA database with ED relevant in vitro assay data Endocrine Disruptor Screening Program (US EPA)  WoE analysis (summarized data) of ED relevant in vitro and in vivo assays, focusing on estrogens, androgens, thyroid and steroidogenesis ToxRefDB (US EPA) • Database with ED relevant in vivo data. 35
  • 36. Supplemented by additional sources Open literature • For all compounds, a literature search is performed • SCOPUS: compound name & endocrine • SciFinder: concept “endocrine disruption” & substance identifier based on CAS ToxCast (US EPA) • US EPA database with ED relevant in vitro assay data Endocrine Disruptor Screening Program (US EPA)  WoE analysis (summarized data) of ED relevant in vitro and in vivo assays, focusing on estrogens, androgens, thyroid and steroidogenesis ToxRefDB (US EPA) • Database with ED relevant in vivo data. 36
  • 37. Check for additional sources The Endocrine Disruption Exchange (TEDX) • List of chemicals that show the potential to affect the endocrine system (reference(s) provided) Substitute It Now (SIN) •List of substances identified by NGO ChemSec as Substances of Very High Concern, including ED criteria (reference(s) provided) Public consultation •List of references supplied by public consultation Community Rolling Action Plan (ECHA) • Flag presence of CoRAP if ED motivated 37
  • 38. Type of studies to be captured 38 Mammalian toxicity • developmental toxicity, reproductive toxicity, carcinogenicity and (sub)chronic (repeated dose) toxicity Ecotoxicology • non-acute toxicity, reproductive toxicity in fish and amphibians (and birds to a limited extent) Focus on test methods specified within the OECD CF (OECD GD 150 TG or equivalent)
  • 39. Types of effects to be captured • Production/action of steroid hormones (estrogen, testosterone), impacts on reproduction (fertility, abnormalities in development, onset of puberty) and thyroid hormones (impact on growth and development)… • In vitro and in vivo mechanistic assays informing on endocrine modes of action (EATS)
  • 40. 40 • Species: rat • Strain: Sprague-Dawley • Number of animals per dose: 10 • Route of administration: oral • Method of administration: feed • Purity: 96 % • Dose range • Male: 0.5, 2, 10 ppm • Female: 0.5, 2, 10/6 ppm
  • 41. Structure of data template • Spreadsheet based (Excel): versatile, easy to use • 40 columns for data details • Structured template to capture/store diverse types of data from variety of sources (databases, scientific literature) • All relevant effects captured from study (study ID) • Capture all ED relevant effects • Capture general toxicity effect at similar or lower dose (interpretation) • Each row describes one effect at single dose from one study 41
  • 42. General substance information • Compound name • CAS number • CLP (harmonized), including date of classification • CLP (proposed), including date of classification • Co-RAP (concern - justification) • Reason for inclusion on the SIN List • Other information/comments 42
  • 43. Data organisation Study information Study details Effect Indications Guideline No. animals Generation OECD CF level Source Purity Sex OECD 150 Reference Route of administration Lifestage Comparable to OECD150 Date Doses tested (+units) Effect dose Pathway Species Duration (+units) Effect type Human relevance Effect target Adjusted effect dose Description Direction 43
  • 45. Effect type In life observation Organ Weight Organ histopathology Reproductive Developmental Abnormalities Clinical chemistry No relevant effect observed [Not in list] 45 Food consumption Body weight Mortality Maternal mortality Systemic toxicity Pup mortality Litter/pup weight Growth Haematological parameters [Not in list] Accessory sex glands weight Adrenals weight Coagulating gland weight Cervix weight Cowpers glands weight Epididymis weight Glans penis weight LABC weight Liver weight Mammary gland weight Ovary weight Pituitary weight Placental weight Prostate weight Seminal vesicles weight Testis weight Effect target Age at first estrus Age at preputial separation Age at Vaginal opening Birth index Dystocia Estrus cyclicity Fertility Gestational interval Gestation length Gestation Index Intercurrent deaths Lactation index Litter size Litter viability Number of implantations, corpora lutea
  • 47. Adversity ED Endocrine activity Plausiblelink Potency(option4) Adversity non-ED Option 1. Interim criteria ED / unclassified Option 2. WHO definition ED / unclassified Option 3. WHO definition & categories ED / suspected ED / endocrine active / unclassified Option 4. WHO definition & potency ED / unclassified CLP classification Information requirements
  • 48. Categorisation under option 4 • No consensus on potency cut-off values • STOT RE values proposed in literature • Determine whether EATS specific effects still occur at or below this dose Note: these reference values refer to effects seen in a standard 90- day toxicity study in rats 48 Route of exposure STOT-RE Cat 1 STOT-RE Cat 2 Oral 10 mg/kg bw/day 100 mg/kg bw/day Dermal 20 mg/kg bw/day 200 mg/kg bw/day Inhalation (vapour) 0.2 mg/l/6h/day 1.0 mg/l/6h/day Inhalation (dust/mist/fume) 0.02 mg/l/6h/day 0.2 mg/l/6h/day
  • 49. Time adjustments of the guidance value Following Haber's rule: • for a 28-day study the guidance values above are increased by a factor of three • for a 2-year study the guidance values are decreased by a factor of eight. Allometric scaling and different life spans of species for Repeated Dose Toxicity not yet been integrated into the CLP guidance The same guidance values for rat, mouse and dog studies have been used 49
  • 50. Equivalent guidance values for 28-day and 90-day studies for rat Study type Unit Category 1 90-day Category 1 28-day Category 2 90-day Category 2 28-day Oral mg/kg bw/d ≤ 10 ≤ 30 ≤ 100 ≤ 300 Dermal mg/kg bw/d ≤ 20 ≤ 60 ≤ 200 ≤ 600 Inhalation (gas) ppmV/ 6 h/d ≤ 50 ≤ 150 ≤ 250 ≤ 750 Inhalation (vapour) mg/l/ 6 h/d ≤ 0.2 ≤ 0.6 ≤ 1 ≤ 3 Inhalation (dust/mist/fume) mg/l/ 6 h/d ≤ 0.02 ≤ 0.06 ≤ 0.2 ≤ 0.6 50
  • 51. Data Analysis and Chemical Selection Brussels, 6th November 2015 Alfonso Lostia Systems Toxicology Institute for Health & Consumer Protection DISCLAIMER: This presentation and its contents do not constitute an official position of the European Commission or any of its services. Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this presentation or its contents
  • 53. 53 Workflow of screening methodology • In vitro • Mammalian toxicity • Wildlife toxicity 1. Data collection 2. Data organisation3. Data Analysis Policy Options Source Documents 1 2 3 4
  • 54. 54 Workflow of screening methodology • In vitro • Mammalian toxicity • Wildlife toxicity 1. Data collection 2. Data organisation3. Data Analysis Policy Options Source Documents 1 2 3 4
  • 55. 55 Stepwise approach to perform Data Analysis Data collected in the template
  • 56. 56 Stepwise approach to perform Data Analysis Data collected in the template Data processing
  • 57. 57 Stepwise approach to perform Data Analysis Data collected in the template Data processing Apply decision tree with limited WoE
  • 58. 5810 November 2015 Stepwise approach to perform Data Analysis Data collected in the template Data processing Apply decision tree with limited WoE WoE: • Specificity: evaluating if EATS-endpoints are likely to be secondary effects of general systemic toxicity • Consistency of effects observed / pattern of effects (within and between studies) • Biological plausibility of effects observed
  • 59. Complexity of Data Analysis Going through all data captured in the template, to perform data-analysis, can be very complex and time-consuming. In the template there are 40 columns and potentially hundreds of rows depending on substance. 5910 November 2015 There is the need to facilitate the data analysis by ensuring for substance evaluation: • Usage of all data collected • Transparency and traceabilty • Medium-throughput (700 substances to be screened in a limited amount of time) Can we find a simpler way to visualise all the data to facilitate data-analysis?
  • 60. Data analysis: build a data-matrix Study 1 Study 2 Study 3 Study 4 Study 5 Endpoint1 Endpoint2 Endpoint3 Endpoint4 Endpoint5 Endpoint6
  • 61. Data analysis: build a data-matrix Study 1 Study 2 Study 3 Study 4 Study 5 Endpoint1 Endpoint2 Endpoint3 Endpoint4 Endpoint5 Endpoint6 For each study, a bit string is constructed displaying all endpoints observed
  • 62. Data matrix 62 Study design Endpoints Information from 4 different columns of the template is summarised in each box: • Effect direction • Effect dose • Effect description • Effect determination
  • 63. Data matrix 63 Study design Endpoints Information from 4 different columns of the template is summarised in each box: • Effect direction • Effect dose • Effect description • Effect determination The data matrix is automatically built from the template
  • 65. Example 1 Morethan30studies Endpoints specific of EATS pathways General adversity Testosterone levels Testis histopathology and weight Ano-genital distance Genitalia abnormalities
  • 66. 6610 November 2015 Example 2 Most endpoints related to General adversity Few endpoints that may or may not indicative of EATS Body weight Food consumption Systemic Toxicity Pup weight Pup mortality
  • 67. Organising the data facilitates the analysis 67
  • 69. Scope of Chemical Selection 1. Chemicals to be screened take in account the following EU legislations: • Plant Protection Products Regulation (PPPR) • Biocides Products Regulation (BPR) • REACH Regulation • Cosmetics Regulation • Water Framework Directive (WFD) 2. ED IA analysis to be performed on about 700 chemicals 3. For the selected chemicals, gather mechanistic-toxicological data to then apply the four policy options for identifying EDs. 69
  • 70. The selection of the substances considered time constraints and efficient use of public money. It was based on the following principles: • Transparency • Objectivity, securing that all possible scenarios are covered to assess the impact of the various options for criteria at least on a qualitative basis • Consideration of availability of data, which are crucial for the screening assessment of ED properties. • The selection should (as far as possible) not lead to a bias in the assessment of the four options. For PPP and BPs, all approved substances were considered, and then non relevant substances were taken out from the list. For REACH and Cosmetics, the list was started with substances where information and concerns were already identified. If the list ends up being longer than the available resources, a selection would be done randomly. The substances falling under the WFD were covered by the selection under REACH, Cosmetics, PPPs and BPs and not listed separately. Principles for Chemical Selection
  • 71. Compile the list of all relevant chemicals from PPPR and BPR Expand the initial list, by adding chemicals from REACH regulation, Cosmetics Regulation and WFD Cross-check if these chemicals are also listed in other regulatory / toxicological / NGO databases that can be used to collect further available mechanistic & toxicological data for the ED IA 71 Chemical selection: strategy 1st Step: 2nd Step: 3rd Step:
  • 72. All approved chemical active substances from EU Pesticides database (DG SANTE) and all Biocidal Active Substances (ECHA) 72 1st Step: Selection of chemicals under PPPR and BPR The following substances are not included: • Microorganisms (living organisms, NOT chemicals) • Basic substances (being substances of no concern and no inherent capacity to cause endocrine disrupting effects, and where the approval procedures follow particular rules) • Low risk substances (defined in Annex II to Regulation (EC) 1107/2009 as, among others properties, not deemed to be an endocrine disruptor) • Natural extracts, mixtures, or repellents • Attractants (pheromones) or plant hormones • Some inert substances, salts, acids
  • 73. 1. All substances on the Candidate List already identified as SVHCs because of ED concerns under Art. 57(f) 2. All substances for which an SVHC opinion on the identification of the substance as SVHC due to its endocrine disrupting properties was provided by the Member State Committee at ECHA 3. All substances on the Candidate list identified as SVHC because of reprotoxicity 1A/1B 4. All substances listed in Annex XVII for restrictions due to a ED concern or because of having a harmonised classification as reprotoxic 1A/1B 2nd Step: Selection of substances under REACH Regulation
  • 74. 5. All substances placed on CoRAP due to ED concern 6. All substances discussed in the Endocrine Disruptor Expert Group 7. Substances flagged as SIN list substances because of ED concerns excluding those which are pesticides, biocides and non-registered substances 8. Substances flagged as Category 1 and 2 in the Commission’s priority list of substances for further testing of their role in endocrine disruption (EASIS) excluding pesticides, biocides and non-registered substances 2nd Step: Selection of substances under REACH Regulation
  • 75. • Most substances for which an opinion of the Scientific Committee on Consumer Safety (SCCS) was provided, which contained a discussion on their endocrine disrupting potential • Most substances for which an SCCS opinion was provided due to the their potential or de facto classification as CMR1A/1B or CMR2 under the CLP Regulation • Most substances not classified as CMR but for which SCCS expressed some concern on toxicity endpoints • Substances for which concern was raised by stakeholders / Member States on potential endocrine disrupting properties 75 2nd Step: Selection of substances under Cosmetics Regulation
  • 76. Cross-check if the chemicals selected from PPPR, BPR, REACH Regulation, Cosmetic Regulation and WFD are present in any of these databases/lists: • US-EPA Endocrine Disruptors Screening Program • ToxCast: database with in vitro data from US EPA • EASIS • Tedx: list of potential Eds • SIN: list of potential EDs compiled by NGO ChemSec 76 3rd Step: overlap of chemicals with other databases to collect additional data for ED IA
  • 77. 77 Inventory of chemicals to be screened Indicate where to find relevant information to facilitate data-collection
  • 79. Concluding Remarks 79  Contractor applied methodology to sample subset (35 substances) to test practical operability  Fine tuning/adjustments were made according to feedback  Methodology currently being applied in a phased manner to PPPs, Biocides and selection from REACH, cosmetic ingredients and priority substances under Water Framework Directive  Strike appropriate balance between resources, time constraints and depth of analysis  The JRC is continually supporting the contractor to ensure the faithful implementation of the methodology
  • 80. Concluding Remarks 80  To keep in mind:  The results of the screening do not constitute in any event a list of recognised endocrine disruptors.  Therefore, the results do not have any regulatory consequences, nor do they pre-empt any future decision regarding identification of a chemical substance as an endocrine disruptor.
  • 81. Joint Research Centre (JRC) The European Commission’s in-house science service www.jrc.ec.europa.eu Serving society - Stimulating innovation - Supporting legislation