Upload
others
View
0
Download
0
Embed Size (px)
Citation preview
Nex Gen
Human Health Risk Assessment Approaches for Chemicals with Limited Data Dr. David Dix u.s. EPA, Office of Research and Development
~.NIEHS~~ NlItionallnstitule of .;l Environmental Health Sciences
&EPA Unbd$bltas Environmentlll Protection AQency
NIH eM."" ICAL ~IL.NOMI(;1i CaN fllJo(
C.ieM1'~II:' "0'' D,jcA':;1:CD"T,.CI. a ND ~"C• .r:"'TIOH
Tox21 I ToxCastandI I I I
ExpoCast I I
reasing Weight of Evidence :
reening/Ranking
ILimited decision-making I I I I
I I Chemical SafetyI I I
for SustainabilitI I
ADVERSITY I I I I I
: I Regulatory decision-making
I
Agency
Tier I
Screening to Biological Pathway Altering Doses and Ultima
: Tier II . I
Tier III 100s of chemicals
tely Adversity
1O,OOOs of chemicals ,I 1000s of chemicals I
Inc
Sc
I
I
y
I
&EPA United States Environmental Protection
NexGen Risk Assessments:
Office of Research and Development 3 _
&EPA United States Environmental Protection Agency
CompTox and Chemical Safety for Sustainability: Supporting High Throughput Risk Assessments
• Understand chemical toxicity at a molecular level
• Understand using as few animal as possible
• Build predictive models • Initially screen and prioritization, eventually provide quantitative
points-of-departure
• Assess many chemicals - deal with the data gaps
_ Office of Research and Development 4
• • •
1000s/d ay
10,000s100,000s/d ay
.. , ..... . . .~..... ",.
1Os-1 OOs/yr
Human Relevance~
Cost/Complexity:
.... ........ .... . ......... ,, ~.. • <&
Gene-expression
.. ...
Throughput/
High-Throughput Screening Assays batch testing of chemicals for pharmacologicalltoxicological endpoints using automated liquid handling, detectors, and data acquisition
&EPA United States Environmental ProtAgency
ection
Simplicity Office of Research and Development _
&EPA United States Environmental Protection Agency
High Throughput Screening 101
Chemical Exposure
Assay Target Biology (e.g., Estrogen Receptor)
96-,384-, 1536 Well Plates HTS Robotic Platfonn
Office of Research and Development _
&EPA United States Environmental Protection Agency
Tox211ToxCast Data Analysis
~ssys~ • I I 1
. , -
_ : Assay-Chemical Hit
..,•
• •
•
Office of Research and Development 7 _
&EPA ToxCast: Multiple Targets per Pathway United States Environmental Protection Agency
~]J in P.CGF
rr"WI smr1~ • ! 'tEKlracellular rr:-::rm I'I\H!,
Inwli , rnAF~Cytoplasm ~I ~ S.3>""r~S2S"'C:r':119 ~
• M ,'\ I,• Biologically Multiplexed PPARi5 Li~and~""T?fdActivity Profiling (BioMAP) ('"4"
{t.-Ht + 1
o Multiplex Transcription WCK112 11,.0( ,,~ ~Reporter Assay
'"' cx~, _ =lSP':l~,~- --tt.-~
r@' ~_ ~ "P R6 Li~:oo
-~o Cell-based HTS Assays ~ Nucleus• Cell-free HIS Assays
a High Content Cell Imaging Assays
- ~STATS-STATS.- ~-
,~~l.ooIPy "~>l.J'- .rollr~ "IiUII 11.Jpld -<>moo,la:i.
~ ,roy flr <lm;c,. en me ~'~""'"~,,n1 ~.SI-.",pollr~ .Ii~":!- U,i<J"", "",liljs 4 '_~"In· r.f"lfn"!J~""oJ~
4 Hep91oc,..rir>;JG""'" ~ I An rx>r'fP. ,ffArM'''' m ::I.G U:O,. ~ '" I',U If' h""",,,l"'''
:' M",-"f'h'iJ" tllnr!lcY
Office of Research and Development
8
_
CRTC2 ~~~---.,:fOX01 .
n ~ 1TCF7L2 ~RE~ ~P:KA=;, ... GCK ~ :1f prolNS ~ Insulin
PDX1 et al :! PC1/3 ~ b-cell V\IV'~/~/~;:';\ ... differentiation
it' ~ Foxa2 Fgf /
... Fgfr2 _ Ngn3 _Hnf1b A. NIEHS
------....;;a~ ~~ H.tIonlllnstitut.of&'tlronnwRtloIH8IIJdtSct
I ...
b-cell mass expansion....( # V· .nc
Glut2
1~~~Aignalingin Pancreatic ~-Cells
United States ""'lEi---------Environmental Protection • InsulinA,,,,y IGF~1 ,-lnStUlinIGF1R llNSR
K'+Ca"Wnt Glc
0
~ Frizzled PI(3,4,5)P3
i GIUt2! lK' channel .1
Ca" ..'~ PD~I !~
GLK
Glc6PDishevelled K'.,PTEN t Insulin1 @~ Ca"., adenylyl_~~...,.;;;.~ A!SI [ATP] cyclase
'-Gsk3b to
F [cAMP]
]l-cateni
fficeO
M
_
&EPA United States Environmental Protection Agency
Sample Output From Signaling Hyperlinks to ToxCastDB
GSK3b You ue h.,e: EPA Hom•• Nation.1 C,nW for Compu''''on.1 Toxicolo~y' ToxC"tre- "'".y
c;c;;J ToXlofDI11 ToxCu.1>I II Ex~oC.<tDlI D'H.xDI I H,me 18M;' Info I D,t, Colle;~on U,t I Chem~,1 Li,j I (lenM A"o,i.ted ..th A",y, I Help
Assay: Novascreen Human GSK3b AS'iiIYl!I: SO'.~'
SOl. ce Na",e All
,~. No,.""," Hun.n GIK3b
Deicriplioll Hun.n GSK3b fluo""".in-p.ptid,
N",,,IJ., of S'~l5'"n""s m
Hu"lle, or CO'fIIIO""'~S
Sp.cies Hano ",i,n,
Parameters
CATALOG NUMBER 20)_0125
ASSAYCATEJORY Et1lj'tl1e I1hibiton
~SSAYCATE30RY In ~tro (Eiochellical) ASSAYTARGET GeK3b
~88!1YTMGET f!l~ILY Kinooc
ASSAYTARGET SCURCE Rocomb nant
ASSAY GENE ID 2932
ASSAY GENE NAME GeK38
,o.oOMT[CI tWLCOY rlcor.".n,. -D~O
ASSAY REFERENCE CO~PO~D St,uro",orine
ASSAY NOTE Ki~""SE
",SSAYSUBSTRATE NAIIE C~GC OIOUP A88AYATP CONCENTRATlON (~) NCCT_¥1
ASSAY LIGAND NA~E 1, E-06
ASSAY LIGAND C~CENTRATlON (~) 1.'OE-O' ~SSAY8wv( Filorescein-p,ptide' ATP -> Fluorescein-phosphopeptiJe' KlP
[-::-_-::-=::,0:::':::"::-=-=-::-:::Nil"'. CASRN NVS_[NZ_hCSK3b (lIM\ nurn ber of "actives" =3 Nanco,eb 80H-01-7 0.27
Naneb 124,7-38-2 0.32
CREB Assay: Attagene Factorial cis eRE Ass~ld; "Source All:>pv>e
Source ll.lllle AID ATC_CRE-CIS
ll.lme All:>9*N F~clorl~1 ell CR[
DesCllption f~c,,,,",1 ,.port., go... uoay
llumbel of SubsUnces m ,llumbel of Comllonents Slledes Homo oap~nt:
Parameters Puamete. Vallie
ill Out nIT _._ASSAYUil.
ASSAY CATEGORY In vlro (Celuler)
ASSAY TAROET cAMP Re$pOl"lSe R1etn':!rf
ASSAY TAROET fAMLY Tr8l1sc,jp:ioo Factor
ASSAY TAROET SOURcE Cellne
ASSAY TAROET SOURCE TYPE ASSAY 0Ef\E () """" ""'" ASSAY 0Ef\E NAAE CREBJ ASSAY TEOf\lOLOOY Reporter gene a::::ay
ASSAY~ DNA ::equerlCer
ASSAY REfERENCE COMI'OLN:l Forskoln cANP
ASSAY f>KITE "hW:~xed 'e~er gene aSSay, cAMP, cGMP, f>KI receptor, GPCR plllhwlltYs·
lIame-""''''' Az~·melh~
Azoxyslrobit
BendiocIllfD
Bisphenoj A
a_"",
"""~"'"'" CyazofMlid
OW.... D~zomet
AIellYn (d-ei::,tr8l1S)
f"lr.Hr..-1VI
CASRlI
15972-60-8
101-05-3
86-5o.<J 1311360-33-6
22781-23-3
0).05-' 1689-84·5
101-Zl-3
120116-88-3
1Zl552-61_2
533-74-4
584-79-2
!N-::IO-!l
ATG_CRf_CIS (tiM) ,. 59.0
27.0
".0 51.0 partial list: 300 number of total "actives" = 52 40.0
~.O
10.0
730
49.0 46.0
4.1 n Nellram-Ilnc 900(-42-2 I~.O
http://ador.epa.qovlactor/facesfToxM inerIH om e. isp
•
adenylyl cyclase
GSK3b
Fox01
FoxA2
PTB1b
&EPA United States Environmental Protection Agency PTEN AKT
TM ToxPi for Insulin Signaling in IGF1R
Pancreatic J3 Cells- Top 30 from W channels l.......~
309 Chemicals in ToxCast Phase I
CREB
Metirarn-zinc Mancozeb Maneb PFOS Cyclanilide 3-1000-2- Oxytetracycline Haled Berlomyl propynylbutylcarbamate dihydrate Tebufenpyrad----------------------'
Methylene bis(thiocyanate) Chlorothaklflil Niclosamide TCMTB Imazalil Spiro)lsmine Milbemectin Cyprdinil DiqU8tdibromide Fludioxonil
sethoxydim Trichlorfon Forchlorfenuroo d-cil, tnlnl BisphenolA PJopyzamide Anilazine Chlorpropham Captan Dichlaran Allethrin
Office of Research and Development http://epa.gov/ncctfToxPi/
'
_
&EPA United States Environmental Protection Agency
ToxCast and Tox21 Assays and Chemicals
500--.---
Phase I
Assays
50 -+- _______ Tox21 ---j
300 1000 10,000 Chemicals
_ Office of Research and Development 12
&EPA United States Environmental Protection Agency
What isHigh-Throughput Risk Assessment?
• Where does risk assessment come in?
- Estimate upper dose that is still protective
-RfD, BMD, POD
• Where does high-throughput come in? - Focus on molecular patnways and targets whose perturbation
can lead to adversity
-Screen hundreds to thousands of chemicals in in vitro assays for those targets
-Get oral dose using H-T pharmacokinetic modeling
• Incorporate population variability and uncertainty
_ Office of Research and Development 13
&EPA United States Environmental Protection Agency
Why do we need High Throughput Risk Assessment (HTRA)?
• Thousands of chemicals with no or little animal data
• Need starting points for setting health-protective exposure levels
• These starting points can be used to prioritize and target further testing
_ Office of Research and Development 14
&EPA United States Environmental Protection Agency HTRA Basic Outline
1. Define molecular pathways linked to adverse outcomes
2. Measure activity in vitro in concentration-response (PO)
3. Estimate external dose to internal concentration scaling (PK)
4. Estimate dose at which pathway is perturbed in vivo
5. Estimate population variability and uncertainty in PK and PO
6. Estimate lower end of dose range for perturbation of pathway
_ Office of Research and Development 15
&EPA United States Environmental Protection Agency
HTRA Publication
Chemical Research in Toxicology, in press, 2011
Estimating Toxicity-Related Biological Pathway Altering Doses for High-Throughput Chemical Risk Assessment
Richard S. Judson, Robert J. Kavlock, R. Woodrow Setzer, Elaine A. Cohen Hubal, Matthew T. Martin, Thomas B. Knudsen, Keith A. Houck, Russell S. Thomas, Barbara A. Wetmore, David J. Dix
National Center for Computational Toxicology, Office of Research and Development, U.S. Environmental Protection Agency
The Hamner Institutes for Health Sciences, Research Triangle Park, North Carolina
_ Office of Research and Development 16
&EPA United States Environmental Protection Agency
What Pathways to Use?
• Start with known targets (genes, proteins) and pathways
• Define levels of evidence and prioritize for analysis - Class 1 - the link between in vitro activity and adversity is clear
(e.g. cholinesterase activity). There is asingle target which, if significantly perturbed, can lead directly to undesirable phenotypic change.
- Class 2 - here is an association between perturbations of a pathway and some disease outcome, but the details and causal linkage is not clear (e.g. PPAR pathway perturbations and potential linkage with human disease).
-Class 3 - no clear linkage between in vitro activity and adverse in vivo outcomes is currently known.
_ Office of Research and Development 17
&EPA United States Environmental ProtectioAgency
Measuring the Pathways n
• ToxCast and Tox21 are using hundreds of assays on thousands of chemicals
• Need to determine concentration at which pathway is "altered"
• Many ways to do this -Simple - take minimum AC50 (AC20, etc.) of any assay mapping
to the pathway
- Harder - develop a systems-level model of the pathway and build a probabilistic concentration-response profile
• Add in estimates of population variability and uncertainty
_ Office of Research and Development 18
• •
• • •
- - - -
N '"
0 N
~ 0 c -'" 0 Co 0
0: ~
0-
- ~spheool A ACSO: 1 1 •
•
ATG ERa TRANS
o. , 0.5 50 50.0
Concentration fuMl
- SIspMnol A AC50: 0.64
•
ATG ERE CIS
0.1 0.5 5.0 50.0
Concentration luM\
&EPA Example: Concentration-Response United States Environmental Protection Agency Curves for Bisphenol A
Sample curves for SPA in two of six ToxCast ER assays
Note that full concentration-response profiles can be measured, at arbitrary spacing and to arbitrarily low concentrations (at moderate cost for a given chemical)
_ Office of Research and Development 19
~ nited States nvironmental Protection gency
Significance o ~of Reverse t:
~ 0
~ ..... Q) u c oicokinetics:
- Cl)
u <t:ing Kinetics ()
fil
Critical to ?N
f') o 0° 8 o
, , , •,
.J.
• I
•I
I
• I I
• I
~
I. ... I I
.J.
~derstanding ~
ynamics N o +CD .....
o o +(I) .,
N o I(I)
o ~
D Estimated Exposure I o 8 ;gO
on 0 8 ~ iaDt~ o ~ 8 ~ ~ ~ ~ ~ r B~8 ::
o 0" Q T , I ,.L :: :§~ G'nerig 6B O a ~ ~ B~~T 8'"~gD"-0 ~~tjI II I ~ ~ II : I :51 I I II -'-:I ::I I
O~QgOT I. I: I 10 1 I~ t·~ I I ~ ¥ ..L J.. .J. .L I I I I I I I ...l.."'0'" I ..L I I I I I I IT L..ri I I I I I I I t I •: I8 I : I I I C ~ I , ....I... ..... I:
I I ,~~ C I' ~ ~ I ..L I I I I: I I 0 l' I .L -'- .J.I I I I .Le nilI .L I
I I...l.. I IJ [J
ClB~ .L DclJ
lJ D
D Il I
D D-'
Office of Research and Development <b -'-------,.------,11-.-'-.-'--.1----,,---,',--.-1-.- , .-,-'- I' -'-,-'-,-'-,----',---'I:-r- ,.-----...-- 20I,.---D-,.--,-"-1-'-,--',--',----'I,--r- ,"------'-.-,-.-,--.,--"--'I~r'-r-,.--,,--,.---,, .-,-'- ,,----'I I
Ratroff, et al. Tax.Sci. 2010
I
q,E· UEA
Theo
ToxAdd
isUn
D
_
I Adverse Effect
MOA'\. 1
Key Events
1 Toxicity Pathway
BPADL
----• --• •Probability Distribution !!!!!! for Dose
HTSAssays that Activates
! Biological Pathway
Biological Pathway Activating Concentration (BPAC) Probability Distribution
Dose-to-Concentration Scaling Function (Cgg/DR)
Probability Distribution
" Populations PK Model
Plasma Protein Intrinsic Binding
&EPA Reverse Toxicokinetics (rTK): United States in vitro concentration to in vivo dosee ..... · ~---~ .. ~I .... ~-~ ~.~~ ••
Pharmacodynamics Pharmacokinetics
Clearance -
&EPA United States Environmental Protection Agency
Uncertainty and Variability
• RTK modeling explicitly incorporates human population variability in PK (SimCyp)
• Other uncertainty and variability ...
- PK uncertainty due to model and data uncertainty - PO variability due to intrinsic variability in enzymes, receptors,
pathways
- PO uncertainty due to details of assay performance, etc.
• Need to develop approach to move away from using defaults for HTRA
- Follow similar path to what is being developed for standard RA
_ Office of Research and Development 22
&EPA United States Environmental Protection Agency
Example: Bisphenol A Estrogenicity In Vitro vs. In Vivo Reproductive Toxicity
• Rat reproduction tests resulted in a No Effect Level of 50 mg/kg/day
• Adjusted for uncertainty and variability, the no effect dose is 0.5 mg/kg/day
• HTRA lower limit BPADL99 is 0.16 mg/kg/day, derived from six ToxCast estrogen receptor assays
_ Office of Research and Development 23
Estrogenicity
Lowest AC50 JUJUfrom 6 ToxCast HTSAssaysER assays
BPAC= 0.64 IJM A
Biological Pathway Activating Concentration (BPAC) Probability Distribution
Pharmacodynamics
( Adverse Effect ".
MOA"", 1 \ Key Events
TOXicity!athWay _.. -~
• ;&-, ..., i
Pharmacokinetics
" Populations PK Model
Plasma Protein
Dose-to-Concentration .-r- Scaling Function (Css/DR)
Pro7:\:ution
= kg/day
NEL/100= 0.5 mg/kg/day
BP~
Probability Distribution
BPADgg
0.44 m
for Dose that Activates
Biological Pathway
I~::::;"---__ Estrogenicity
BPADLgg = 0.16 mg/kg/day
Intrinsic Clearance
L....
Binding Exposure0.00008
=
mg/kg/day
&~~~s . Example: Bisphenol A Estrogenicity In Environmental Protection Agency Vitro vs. In Vivo Reproductive Toxicity
&EPA United States Environmental Protection Agency
HTRA Summary
1, Select Toxicity-related pathways 2. Develop assays to probe them 3. Estimate concentration at which pathway is "altered" (PO) 4. Estimate concentration-to-dose scaling (PK)
5. Estimate PK and PO uncertainty and variability 6. Combine to get BPAD distribution and safe tail
• Many (better) variants can be developed for each step (1-6)
• Use for analysis and prioritization of data poor chemicals
_ Office of Research and Development 25
&EPA United States Environmental Protection Agency
HTRA SUmmary (2)
• Pathway perturbation = MOA Key Event evidence
Necessary for MOA
- Sets lowest dose at which chemical acts through MOA
- Do not need to do low-dose extrapolation - just measure it
_ Office of Research and Development 26
&EPA NexGen Risk Assessment Data Requirements United States
~~~;~~m.""IP'O"";O" Being Met by CompTox and CSS Research
Tier I 1O,OOOs of chemicals
, Ultra-High Throughput I
Screening (uHTS) for II
Bioactivity Profiling- I
Tox21
• In vitro assays (dozens) • In silico assays
./QSAR
./Molecular Docking • ToxPi (Toxicological
Prioritization index) data integration
./Pathway, toxicity or disease associations
Increasing Weight of Evidence Screening/Ranking
Office of Research and Development
I I I
Tier II 1000s of chemicals
HTS, Metabolism, Dosimetry, Exposure, Modes ofAction and Systems Integration-
ToxCast and ExpoCast
• In vitro & in silico assays (hundreds)
• Metabolism and dosimetry • Exposure estimates • Alternative species, systems
modeling, virtual tissue simulations
• High Throughput Risk Assessments (HTRA) based on modes of action
I I I I I I I
Tier III 100s of chemicals
High Content, Lower Throughput, Animal or
Human Studies-Chemical Safety for
Sustainabilitv
• Molecular epidemiology & clinical studies
• Exposure modeling and biomarkers of exposure
• Molecular biology & targeted animal testing
• Pathway and disease outcomes
• Knowledge-Base integration and visualization
Adversity I I
Limited decision-making I
I Regulatory decision-making -
&EPA United States Environmental Protection Agency
Acknowledgements
• Participants in the Day 3/Tier 2 portion of Nov201 0 NexGen Workshop: Stan Barone (EPA), Derek Knight (ECHA), Karen Leach (Pfizer), Chris Portier (ATSDR), Mike Devito (NTP), Alex Tropsha UNC), Richard Judson (EPA), David Reif (EPA), Rusty Thomas (Hamner), Jason Lambert and Iia Cote (EPA)
• Tox21 teams at EPA, NIEHS/NTP, NHGRI/NCGC and FDA: led by Bob Kavlock, Ray Tice, Chris Austin and David Jacobson-Kram
• ToxCasUExpoCast EPA teams: led by Keith Houck and Elaine Cohen Hubal
• Newly forming Chemical Safety for Sustainability teams at EPA
_ Office of Research and Development 28