Modeling How the Human Body Handles Drugs and Toxicants - PowerPoint PPT Presentation

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Modeling How the Human Body Handles Drugs and Toxicants

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Modeling How the Human Body Handles Drugs and Toxicants Crispin Pierce, Ph.D. UWEC Faculty / Academic Staff Forum 27 October 2004 http://www.uwec.edu/piercech/model.ppt – PowerPoint PPT presentation

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Title: Modeling How the Human Body Handles Drugs and Toxicants


1
Modeling How the Human Body Handles Drugs and
Toxicants
  • Crispin Pierce, Ph.D.
  • UWEC Faculty / Academic Staff Forum
  • 27 October 2004

http//www.uwec.edu/piercech/model.ppt
2
UWEC Student-Faculty Research
Mia Jewell, Laura Schrage, Julie Friedhoff,
Alison Deneen, and Ashley LaCasse
3
Crispin Pierce, Mia Jewell, and Karen Bartosh Not
pictured Erin Moritz, Chris Judkins-Helpsmeet,
and Kristin Hardy
4
Acknowledgements
  • Michael Morgan and Russell Dills, University of
    Washington, Seattle
  • UWEC Office of Research and Sponsored Programs
  • NIOSH SERCA Grant 5 K01 OH00164
  • Superfund Basic Research program, NIEHS ES 04696
  • NIH/ NIBIB Grant 2 P41 EB001975

5
We Are Exposed to 1,000s of Chemicals Every Day
6
Voluntary exposure
  • Eating and drinking

http//www.runslinux.net/belanaomi/Friends.htm
7
  • Smoking

8
  • Filling up our gas tank

http//www.quantico.usmc-mccs.org/business/retail-
services.htm
9
  • Use of chemicals (e.g., pesticides, drugs)

10
Exposure at the Workplace
11
Ambient (Environmental) Exposure
12
How Do We Predict the Effects of These Chemicals?
  • Empirical Observations
  • Exposure to air pollution reduces lung function
    in children.
  • I take two aspirin to relieve pain.
  • Regular dosing with folic acid during the first
    trimester of pregnancy lowers risk of fetal
    health risks.
  • Chronic consumption of fatty meats raises risks
    of cardiovascular disease and cancer.

13
Dose-Response Relationships
  • We use animal dosing experiments and results from
    epidemiological studies to make observations
    about dose-response relationships.

http//homepage.psy.utexas.edu/HomePage/class/Psy3
08/salinas/Psychopharmacology/Psychopharm.html
14
All Substances Are Poisons at the Wrong Dose
http//homepage.psy.utexas.edu/HomePage/class/Psy3
08/salinas/Psychopharmacology/Psychopharm.html
15
Can We Open Up This Black Box?
16
Yes, We Can Examine the Changing Chemical
Concentration in Blood
From these data, we can estimate the rates of
absorption and excretion.
17
Half-Life is a Valuable Descriptor
http//www.geo.arizona.edu/palynology/geos462/10ra
diometric.html
18
We Can Also Create Models for How the Body
Eliminates Chemicals
  • The Georgia Center for Continuing Education

19
Why Would We Want to Understand How the Body
Handles the Chemical?
  • To answer the following questions
  • Why are some chemicals more toxic to test animals
    than humans, and vice versa?
  • Are cancer risks that we measure at very high
    doses in animal studies linear down to the low
    exposures that we receive?
  • Can we make drugs more effective and less toxic?
  • Can we develop new antidotes to poisons?

20
  • To figure out why different people react
    differently to the same dose of the same
    substance.

21
Student Project 1 Toxicokinetics of Toluene
  • Toxicokinetics toxicon (poison) kinetic
    (movement) movement of poisons throughout the
    body.
  • Toluene is the most widely-used industrial
    solvent.
  • An understanding of how the body handles toluene,
    a less toxic substance, can help us understand
    the much higher risks from similar substances
    such as benzene, which causes cancer.

22
  • Goal To see if anthropometric characteristics,
    including body weight, body fat percentage,
    height and age are predictive of how the body
    handles toluene.

23
  • Methods Seven males inhaled 50 ppm of 13C- and
    2H-toluene over a two hour period. Blood,
    breath, and urine samples were collected for up
    to 100 hr post-exposure and were analyzed for
    parent and metabolite concentrations. This
    portion of the study took place at the University
    of Washington and was approved by the Human
    Subjects Division.

24
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26
  • An Excel macro developed by Russell Dills was
    used to fit three lines through the data points
    a lagrange method, a log-trapezoidal method, and
    a linear method. The best visual method between
    each pair of points was used.

27
  • This macro determined the kinetic parameters of
    k-elimination, terminal half-life, area under the
    curve (AUC), clearance (Cl), mean residence time
    for the central compartment (MRTC), and volume of
    distribution at a steady state (Vdss).

28
  • Multiple regressions were used to determine which
    anthropometric characteristic were predictors of
    clearance, terminal half life, Vdss(the volume
    into which toluene distributes), MRTC (the
    average time a chemical spends in the body),
    maximum peak height/dose, and AUC/dose (how
    quickly the body gets rid of toluene).

29
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30
What About the Mechanism of How the Body Handles
Chemicals?
31
Student Project 2 Examining MTBE Risk
32
What Are MTBE and ETBE?
  • Fuel additives that increase O2 in gasoline
  • 1990 Clean Air Act Amendments
  • Reduce carbon monoxide ozone components in air
    pollution
  • 30 of U.S. gasoline is oxygenated
  • 87 of oxygenated gas contains MTBE

33
Problems With MTBE
  • Associated with complaints of headaches, nausea,
    disorientation
  • Ubiquitous in urban areas
  • Unpleasant odor and taste
  • Leaks into drinking water
  • Contaminated ground water in all 50 states
  • Possible human carcinogen

34
Methods of Exposure
  • Contaminated Water
  • Drinking
  • Showering
  • Inhalation
  • At the gas pump
  • While driving
  • Work environments

35
Previous Experiment
  • 10 Healthy Caucasian volunteers 5 women, 5 men.
  • Target inhaled concentrations of 2.5 ppm
    2H12-MTBE and 2.5 ppm ETBE.
  • Two hours of exposure with alternating periods of
    30 min 50W exercise and 15 min rest.

36
  • Model representing MTBE path through the body

37
Experimental Goals
  • Statistical testing of MTBE, ETBE, and TBA models
  • Risk assessment based on cancer- AUC

38
Statistical Testing
  • Monte Carlo
  • Used PopKinetics software to create a 95
    confidence interval around the mean predicted
    line

39
Compare the differences between the yellow data
points and the mean model prediction (black line)
to the differences between the upper or lower
confidence interval (gold or yellow line) and the
mean prediction (black line).
40
Monte Carlo 0.06718 gt Model Fits
41
Risk Determination
  • Used lowest literature standards for MTBE
  • Inhalation
  • Drinking water
  • Calculated a dose based on above values
  • Ran models with calculated dose as input
  • Determined overall risk
  • Used SAAMs AUC

42
MTBE Regulations
EPA Standard ACGIH 8-Hour TWA TLV New Jersey and New York Wisconsin California
2040 ppb drinking water 40 ppm in air 10 ppb drinking water 60 ppb drinking water 13 ppb (primary) 5 ppb (secondary) drinking water
43
Assumptions Used
  • 70 kg body weight and 25 adipose content
  • Alveolar ventilation and cardiac output rates
    were set as low and constant
  • Drinking water experiment
  • Drink 2 L of water per day (10 ppb MTBE)
  • 70-year lifetime
  • Inhalation experiment
  • 40 year working lifetime (40 ppm)

44
Area Under the Curve
45
Results Single-day AUCs
  • Typical daily exposure
  • Drinking water 9.17e-3 umol-hr/L
  • Inhalation (Gas pump) 1.36e-1 umol-hr/L
  • 15 times higher risk from gas pump exposure

46
Results Lifetime AUCs
  • Based on standards
  • Drinking water 2.44e2 umol-hr/L
  • Inhalation (Work exposure) 2.18e6 umol-hr/L
  • 9,000 times higher risk from work exposure.

47
Conclusions
  • Empirical and mechanistic approaches can be used
    to understand how the body handles chemicals
  • Anthropometric characteristics affect how
    different people handle a chemical.
  • Models can be used to predict risk of toxicity
    from different kinds of chemical exposures.

48
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