rass mss webinar - january 11, 2017 german environmental … · 62.16 61.41 53.38 50.69 54.33 49.58...
TRANSCRIPT
For our Environment
German Environmental Survey and Specimen Bank and the use of the human biomonitoring data for risk assessment
RASS MSS Webinar - January 11, 2017
Marike Kolossa-Gehring, André Conrad, Petra Apel, Ulrike Fiddicke, Maria Rüther, Christine Schulz, Christa Schröter-Kermani, Gerda Schwedler
German Environment Agency (Umweltbundesamt)
Keeping an eye on chemicals
2
European Commission (2001): Global production of chemicals increased from 1 M t in 1930 to 400 M t in 2001. June 2015: Chemical Abstracts Service (CAS) assigned 100 Millionth CAS Registry Number®.
Chemical industry is Europe’s 3rd largest manufacturing industry.
Eurostat: about 30 M t of carcinogenic, mutagenic and reprotoxic chemicals produced in 2009. So
urc
e: C
C V
isio
n
0
100
200
300
400
500
600
700
800
0
1
2
3
4
5
6
1994 1997 2000 2003 2006 2009
Ge
rman
BPA
pro
du
ctio
n (
kt/y
)
BPA
in u
rin
e (
Me
dia
n in
µg
/L)
Why do we need HBM data? Bisphenol A production and human exposure
3
Data Source: German Environmental Specimen Bank (ESB)
Exposure quantifiable?
The German HBM System: Answering key questions concerning human exposure to chemicals
4
Variation in population?
(Risk groups, sources, etc.)
Regulation and voluntary measures sufficient?
Exposure health-
relevant?
German Environmental Survey - population- representative - ambient monitoring - interviews
German Environmental Specimen Bank - retrospective monitoring - time trends background exposure
Human Biomonitoring Commission at UBA
- HBM assessment
values
Cooperation for the promotion of HBM
- new analytical methods for chemicals of
interest
Sound HBM data for science and policy
Ulm (since 1997)
Halle/S. (since 1995)
Münster (since 1977)
Greifswald (since 1995)
German Environmental Survey (GerES)
Environmental Specimen Bank (ESB)
Survey Period Age Size
GerES I 1985 - 86 25 - 69 2,700
GerES II a
GerES II b 1990 - 92
25 - 69
6 - 14
4,000
730
GerES III 1997 - 99 18 - 69 4,800
GerES IV 2003 - 06 3 - 14 1,790
GerES V 2014 - 17 3 - 17 2,505
5
6
Instruments
GerES ESB
Study design and sample of GerES V
2,505 children and adolescents from 167 locations in Germany Age range: 3 to 17 Years Representative according to age, gender and community size. Randomly selected from the 2. wave of the KiGGS study (the German Health Interview and Examination Survey for Children and Adolescents),
conducted by the Robert Koch Institute (RKI)
Sou
rce:
Ro
ber
t K
och
Inst
itu
te
7
Environmental influences State of health
Exploration of associations
8
more than 2,000 pieces of information per child/adolescent
Drinking water
anorganic and organic compounds (from plastic pipes)
Indoor monitoring
- ultrafine particles, particulate matter PM2,5 and PAH
- house dust: „new“ plasticizers and flame retardants
- VOC and aldehydes
Noise
noise level , subjective annoyance
Integration of GIS data
Ambient monitoring
9
Source: mitev / Fotolia.com
Source: style photographs / Fotolia.com
Source: auris / Fotolia.com
Design of the German ESB (human samples)
Since 1997: regular standardized sampling at 4 locations approx. 120 healthy male and female adults (20 - 29 yrs.) in each city No specific exposure Urine (24 hrs.) Blood (whole blood, serum) Self-administered questionnaire Dental anamnesis
Cryo-archiving of samples: retrospective analyses
10
11 11
Biobanking
According to obligatory standard operation procedures (SOP)
Sampling Anamnesis
Sampling planning
Analyses Storage
Operated by Fraunhofer IBMT on behalf of the German Environment Agency
Source: Fraunhofer IBMT
Specimen regularly collected by the ESB
12
Spruce/Pine Beech/Poplar Earthworm Pigeon Deer
Zebra mussel Bream
Blue mussel Eelpout Herring gull
Soil
Suspended sediment
Human specimen
Environmental specimen
Whole blood/ Plasma
24 h sampling urine
Sources: Projektgruppe Trier (10), Fraunhofer IBMT (2), Fraunhofer IME (1), UBA (1)
German Initiative to further develop HBM
13
The German Chemical Industry Association (VCI)
Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety
German Environment Agency
development of new chemical-analytical HBM methods
HBM relevant
Chemicals
Federal Institute for Occupational Safety and Health (BAuA)
Federal Institute for Risk Assessment (BfR)
German Environment Agency (UBA)
Potential exposure of the general
population +
Potential health
relevance
Human biomonitoring & interview monitoring
first application of newly developed analytical methods
• Plasticiser: Hexamoll DINCH, DPHP,
ASE/ASEP („Mesamoll“), Tri(2-ethylhexyl) trimellitat TOTM, diethylhexylterephthalat DEHTP, Di-isononyladipat DINA, Di-2-ethylhexyladipat DEHA/DOHA
• Antioxidant: butylated hydroxy-toluene BHT
• Sun screens: 4-MBC, OMC , octisalate, octocrylene
• Biocides: CIT/MIT, climbazol
• Fragrances: geraniol, lysmeral, 7-hydroxycitronellal
• Polyurethane ingredients: TDI (2,4-TDI+ 2,6-TDI), MDI
• Technical solvents: NMP, NEP • Vulcanisator: 2-MBT • Glyphosate
Source: angellodeco / Fotolia.com
14
15
The German Human Biomonitoring Commission
Protection of the health of the population who is exposed to chemical substances from the environment
by scientific assessment and derivation of guidance values: • Statistically derived Reference values
• Toxicologically/epidemiologically based Human Biomonitoring Values ( HBM I= alert value & HBM II = action value)
New HBM values for emerging substances, inventory of reference and HBM values in force, and working principles of the German Human Biomonitoring Commission. Int J Hyg Environ Health. 2016 Sep 17, DOI: 10.1016/j.ijheh.2016.09.007.2
0,0 2,0 4,0 6,0 8,0 10,0 12,0 14,0
Percentage [%] exceeding the TDI* value
DEHP - Diethylhexylphthalat
TDI*: 50 µg/(kg KG∙d)
DnBP - Di-n-butylphthalat
TDI*: 10 µg/(kg KG∙d)
DiBP - Di-iso-butylphthalat
TDI*: 10 µg/(kg KG∙d)
1.4
11.7
%
9.1
GerES IV: Identification of a possible impact on health I
* TDI: Tolerable Daily Intake
Phthalates metabolites in urine of children aged 3 to 14
16
GerES IV: Identification of a possible impact on health II
GerES (2003-2006): children aged 3 to 14
Weighting according to factors decribed by Earl Gray, US-EPA
Intake rates: daily intake related to volume calculated by Wittassek
85% Exceedance of TDI (DnBP)
to to to to to to to to to to to
up to
1%
14%
18%
13%
10%
7%
4% 3%
2% 2% 1%
4%
23%
0%
5%
10%
15%
20%
25%
5
>5
10
>10
15
>15
20
>20
25
>25
30
>30
35
>35
40
>40
45
>45
50
>50
55
>55
60
>60
Phthalate intake (µg/kg BW/d)
% o
f valu
es
weighted intake rates of 5 phthalates
17
18
Phthalates: decision on measures and control of success Exposure of the general population, children, GerES IV: single substances: exceedance of HBM-I or TDI by 2 % to 12 % per substance aggregate exposure: exceedance by more than 50 % Regulation: Several steps: toys for children, cosmetics, food Danish proposal to ban phthalates rejected Authorisation since 2/2015 Toxicology: reproductive toxicants Substances of Very High Concern DEHP, DnBP, BBzP: SVHC in 2008; DiBP: SVHC in 2010 HBM Values DEHP sum of metabolites 5oxo-MEHP and 5OH-MEHP in urine: Children, aged 6 - 13: HBM-I 500 µg/ l Women in childbearing age HBM-I 300 µg/ l Others HBM-I 750 µg/ l assessment of aggregate exposure required
Sou
rce:
deb
ram
illet
/ F
oto
lia.c
om
ESB time trend phthalates 1988 to 2015
1.0
10.0
100.0
1000.0
1985 1990 1995 2000 2005 2010 2015 2020
Me
dia
ne
co
nc
en
tra
tio
n [
ng
/ml]
Year of sampling
DnBP
DEHP
DiBP
BzBP
DiNP
toys
SVHC
cosmetics
authorization
- 85.6%
- 66.5%
- 95.5%
+ 56.3%
- 84.5%
Regulations …
toys
Exposure to metabolites of 4 SVHC has decreased by 67- 96%, they are still to be detected in every single sample. DINP increased by 56%.
DiBP SVHC
Measured by Holger Koch, IPA, and Thomas Göen, IPASUM
19
20
N-Methyl-2-pyrrolidone (NMP) Use: Technical solvent Exposure of the general population: • by using paint and graffity remover, • indoors via paints and carpets Exposure pathway: inhalative, dermal Toxicology: a) specific metabolites in urine: 5-hydroxy-NMP (5-HNMP) and 2-hydroxy-N-methylsuccinimide(2-HMSI) b) reproductive toxicant Substance of Very High Concern (SVHC, 2011) HBM Values, sum of metabolites 5-HNMP + 2-HMSI in urine: Children: HBM-I = 10 mg/l, HBM-II = 30 mg/l Adults: HBM-I = 15 mg/l, HBM-II = 50 mg/l Substitute: N-Ethyl-2-pyrrolidone (NEP) CAVE: similiar toxicological profile assessment of aggregate exposure required
N O
CH3
BMUB/VCI-Cooperation
Sou
rce:
Kad
my
/ Fo
tolia
.co
m
Time trend of NMP-metabolites in 24h-urine
The internal exposure of the reprotoxic SVHC did not decline.
62.16 61.41 53.38 50.69 54.33 49.58 52.71 44.67 53.48
37.84 35.79 49.56 36.78
43.00 38.93
58.06
38.16
57.46
0
20
40
60
80
100
120
1991 1995 1999 2003 2006 2008 2010 2012 2014
%
Year of Sampling
Sum of NMP-Metabolites in human 24h-sampling urine
(1991 ≙ 100%)
2-HMNP 5-HNMP 5-HNMP values > LOQ 2-HMSI values > LOQ
Measured by Holger Koch, IPA
21
Time trend of NEP-metabolites in 24h-urine
The internal exposure of the reprotoxic substitute declines
70.65
37.64 49.80
95.00
34.50 21.66
47.68
18.19 33.98
29.35
23.17
64.31
24.37
26.11
12.54
13.36
22.20
27.68
0
20
40
60
80
100
120
1991 1995 1999 2003 2006 2008 2010 2012 2014
%
Year of Sampling
Sum of NEP-Metabolites in human 24h-sampling urine (1991 ≙ 100%)
5-HNEP 2-HESI 5-HNEP values > LOQ 2-HESI values > LOQ
22
Measured by Holger Koch, IPA
23
Glyphosate Use: • Broad spectrum systemic herbicide • Used for crop desiccation Toxicology: IARC: probably carcinogenic to humans (Group 2A) EFSA: Acceptable Daily Intake (ADI) 0,5 mg/kg bw/d
Clarification by the different agencies is indispensable Exposure of the general population: • By food • Home use for gardening
Analytical method: GC-MS/MS, LOQ: 0.1 µg Glyphosate/L urine
[Gly]cine [phos]phon[ate]
Sou
rce:
oti
cki /
Th
inks
tock
Time trend glyphosate in 24h-urine
Fraction of quantifiable levels decreases after 2012? Result of changes in application?
24
% o
f co
nce
ntr
atio
ns
of
at le
ast
LOQ
(0
.1 µ
g/L
)
0
10
20
30
40
50
60
70
80
90
100
2001 2003 2005 2007 2009 2011 2012 2013 2014 2015
Source: Conrad, Schröter-Kermani, Hoppe, Rüther, Pieper, Kolossa-Gehring (2016): Glyphosate in German adults – Time trend (2001 to 2015) of human exposure to a widely used herbicide, International Journal of Hygiene and Environmental Health, Volume 220, Issue 1 http://dx.doi.org/10.1016/j.ijheh.2016.09.016
Sex-related differences in exposure? Analysis of population-representative GerES V samples
Time trend glyphosate: differences male/female
25
0
10
20
30
40
50
60
70
80
90
100
2001 2003 2005 2007 2009 2011 2012 2013 2014 2015
% o
f co
nce
ntr
atio
ns
of
at le
ast
LOQ
(0
.1 µ
g/L
)
Source: Conrad, Schröter-Kermani, Hoppe, Rüther, Pieper, Kolossa-Gehring (2016): Glyphosate in German adults – Time trend (2001 to 2015) of human exposure to a widely used herbicide, International Journal of Hygiene and Environmental Health, Volume 220, Issue 1 http://dx.doi.org/10.1016/j.ijheh.2016.09.016
0
25
50
75
100
be
ta-H
CH
DD
E
PC
B 1
38
PC
B 1
53
PC
B 1
80
2,4
-DC
P
PC
P
1-O
H-P
yre
n
1-O
H-P
he
n.
Bis
ph
en
ol-
A
Mn
BP
MiB
P
MB
zP
ME
HP
OH
-MiN
P
oxo
-MiN
P
cx-M
iNP
Valu
es a
bo
ve L
OQ
[%
]
HBM Data from the German Environmental Survey GerES IV (2003-2006)
Multiple exposure in children: endocrine disruptors
15
Multiple exposure - conclusions
27
People are exposed to a large number of chemicals
Exposure consists of several chemicals with the same mode of action or affecting the same target organ HBM reveals co-exposures HBM helps to describe typical exposure situations HBM demonstrates that single substance assessment does not reflect realistic exposure scenarios
Policy advice: the example of mercury
28
Children
Adults
Number of teeth with amalgam fillings
0 2 4 6 8 10 12 14 16 18
Re
lati
ve c
han
ge o
f H
g in
uri
ne
(95
%-C
I)
100 %
200 %
300 %
GerES II (1990/92)
Official recommendation of the Federal Health Office (1992): “The use of dental amalgam should be considered very cautiously for children under the age of 6.”
Reduction in amalgam use (as observed in GerES)
29
GerES No tooth 1 tooth 2 or more teeth
II (1990/92) 37% 10% 53%
IV (2003/06) 92% 3% 5%
Exceedance of HBM assessment values for Hg (in %)
Mercury – Reduction in amalgam use (ESB)
30
Par
tici
pan
ts w
ith
am
alga
m f
illin
gs (
in %
)
Münster (West)
Mercury – multivariate analysis (ESB)
31
Contribution to Hg amount in 24h-urine (ng)
Source: Schulz, Rüdel, Uhlig, Hettwer, Kaltenbach (2015): Comparative examination of the human and environmental mercury exposure based on monitoring data derived from the German Environmental Specimen Bank (ESB) https://www.umweltprobenbank.de/upb_static/fck/download/Endbericht_Integrierte_Bewertung_Hg_2015_08_10_Web.pdf [in German]
Mercury - conclusions
32
Internal mercury exposure decreased substantially in Germany.
Dental amalgam is a main exposure determinant.
As the use of dental amalgam has decreased, exposure via food became relatively more important.
Source: marcel / Fotolia.com
Aims
• Preparation and conduct of a feasibility study • Harmonization of methods, questionnaires, quality assurance, … • Measurement of comparable results • Building up network & infrastructur • Use of HBM for improving policy
HBM in the EU: preparatory phase and pilot study
33
DEMOCOPHES: exposure of children to DEHP
Sweden
Germany
Luxembourg
Switzerland
Slowenia
Belgium
Denmark
Ireland
ALL
Cyprus
Slovakia
Portugal
Spain
Poland
Czech Republic
Hungary
Rumania
United Kingdom
0 10 20 30 40 50 60 70 80 90 100
DEHP-metabolite im urine (µg/L) , adjusted to creatinin, age and gender
p < 0.001
p < 0.001
p < 0.001
p < 0.001
p < 0.001
p < 0.001
p = 0.001
p = 0.54
p = 0.21
p = 0.004
p = 0.009
p < 0.001
p = 0.96
p < 0.001
p < 0.001
p < 0.001
p < 0.001
1,7% > HBM I
HBM I:
300 µg/L (mothers)
500 µg/L (children) ∑(OH-MEHP, oxo-MEHP)
34
35
Answer open policy relevant questions as defined by EU
Services and partner countries
Bridge the gap between science and
policy
Give policy makers a fast and easy access to results and
data
Sou
rce
(map
of
Euro
pe)
: © U
ser:
mai
x /
Wik
imed
ia C
om
mo
ns
/ C
C-B
Y-SA
2.5
36
an ambitious EU research programme designed especially to answer policy
relevant questions
Sou
rce
(map
of
Euro
pe)
: © U
ser:
mai
x /
Wik
imed
ia C
om
mo
ns
/ C
C-B
Y-SA
2.5
Who we are - the HBM4EU partners
22 EU Member States 3 Associated States, Switzerland, and EEA (3 candidates to join in later) 107 Partners 38 Grant Signatories Financial volume: ~ 74 M € Management Board Member
37
Prioritization process
38
EU level
JRC scientific and technical support
EEA
environment data, information, assessment
ECHA REACH regulation
EFSA risk assessment for food and feed
ENV
chemicals legislation
(e.g. REACH), air/water pollution,
noise
SANTE food
contaminant, pesticides,
biocides, EDs
EMPL worker safety,
exposure to chemicals
GROW product safety,
cosmetics, REACH
RTD R&I framework programme
Prioritization process
39
National Hub
German HBM Commission
Experts
Public institutions
and agencies with HBM expertise
Source: David Liuzzo, derivative work: MichaelBueker [CC BY-SA 3.0], via Wikimedia Commons
40
Nat
ion
al a
nd
EU
Sta
keh
old
ers
; A
dvi
sory
Bo
ard
Pillar 1: Science to Policy
WP4: Prioritisation and input to the annual work plan
WP6: Sustainability and capacity building
WP5: Translation of results into policy
WP7: Survey design and fieldwork preparation
WP8: Targeted field work surveys and alignment at EU level
WP9: Laboratory analysis and quality assurance
WP10: Data management and analysis
Pillar 2: European HBM Platform Pillar 3: Exposure and Health
WP13: Establishing exposure health relationships
WP14: Effect Biomarkers
WP12: From HBM to exposure
WP11: Linking HBM, health studies, and registers
WP15: Mixtures, HBM and human health risks
WP16: Emerging Chemicals
WP2: Knowledge Hub
WP1: Programme management and coordination
Scientific and Administrative Management
WP3: Internal Calls WP17: Ethics Requirements
Activities on mixtures in HBM4EU
• Identification of most relevant chemical mixtures for risk assessment - development of aggregated mixture indicators - integration of various approaches and conventions of countries - database of existing HBM mixture data • Joint survey on HBM mixtures in 3-5 countries, and apply overarching analysis across priority substances to get aggregated HBM profiles - study populations enrolled based on exposure gradient
- priority substances and pesticides (due to EU/EFSA approach)
• Identification of mixture health effects - close co-operation with ongoing EU projects - liaison with EFSA activities - use and/or development of effect markers
16
Conclusions
42
The human exposure to various chemicals is a key aspect of environmental health. • Evidence of toxicologically relevant properties alone does not
automatically reduced use and exposure • Safe or at least better substitutes can be identified • Regulation supports reduction of exposure • Control of the success of regulatory measures is necessary • Admission to SVHC list does not automatically decrease
human exposure • HBM helps to set priorities • Health risk assessment needs to include aggregate exposure
HBM helps bridging the gap between science and policy making
www.umweltprobenbank.de
Supporting policy, but also the public …
43
www.uba.de/geres
Thank you very much for your attention.
Funding by the German Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUB) is gratefully acknowledged.