PMID- 19672409
OWN - NLM
STAT- MEDLINE
DCOM- 20091020
LR  - 20220318
IS  - 1552-9924 (Electronic)
IS  - 0091-6765 (Print)
IS  - 0091-6765 (Linking)
VI  - 117
IP  - 8
DP  - 2009 Aug
TI  - A multi-individual pharmacokinetic model framework for interpreting time trends 
      of persistent chemicals in human populations: application to a postban situation.
PG  - 1280-6
LID - 10.1289/ehp.0900648 [doi]
AB  - BACKGROUND: Human milk and blood are monitored to detect time trends of 
      persistent organic pollutants (POPs) in humans. It is current practice to use 
      log-linear regression to fit time series of averaged cross-sectional 
      biomonitoring data, here referred to as cross-sectional trend data (CSTD). 
      OBJECTIVE: The goals of our study are to clarify the interpretation of half-lives 
      derived from fitting exponential functions to declining CSTD and to provide a 
      method of estimating human elimination half-lives from CSTD collected in a 
      postban situation. METHODS: We developed a multi-individual pharmacokinetic model 
      framework and present analytical solutions for a postban period. For this case, 
      the framework quantitatively describes the relationships among the half-life for 
      reduction of body burdens of POPs derived from CSTD, the half-life describing 
      decline in daily intake, and the half-life of elimination from the human body. 
      RESULTS: The half-life derived from exponential fitting of CSTD collected under 
      postban conditions describes the exposure trend and is independent of human 
      elimination kinetics. We use a case study of DDT 
      (dichlorodiphenyltrichloroethane) to show that CSTD can be combined with exposure 
      data obtained from total diet studies to estimate elimination kinetics of POPs 
      for humans under background exposure conditions. CONCLUSIONS: CSTD provide 
      quantitative information about trends in human exposure and can be combined with 
      exposure studies to estimate elimination kinetics. The full utility of these data 
      has not been exploited so far. An efficient and informative monitoring strategy 
      for banned POPs in humans would coordinate sampling of consistent sets of CSTD 
      from young adults with total diet studies.
FAU - Ritter, Roland
AU  - Ritter R
AD  - Safety and Environmental Technology Group, ETH Zurich, Zurich, Switzerland.
FAU - Scheringer, Martin
AU  - Scheringer M
FAU - MacLeod, Matthew
AU  - MacLeod M
FAU - Schenker, Urs
AU  - Schenker U
FAU - Hungerbuhler, Konrad
AU  - Hungerbuhler K
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20090501
PL  - United States
TA  - Environ Health Perspect
JT  - Environmental health perspectives
JID - 0330411
RN  - 0 (Environmental Pollutants)
SB  - IM
CIN - Environ Health Perspect. 2009 Aug;117(8):A359. PMID: 19672392
MH  - Environmental Pollutants/*pharmacokinetics
MH  - Half-Life
MH  - Humans
MH  - *Models, Theoretical
PMC - PMC2721873
OTO - NOTNLM
OT  - DDT
OT  - biomonitoring
OT  - exposure science
OT  - modeling
OT  - persistent organic pollutants
EDAT- 2009/08/13 09:00
MHDA- 2009/10/21 06:00
PMCR- 2009/08/01
CRDT- 2009/08/13 09:00
PHST- 2009/02/02 00:00 [received]
PHST- 2009/05/01 00:00 [accepted]
PHST- 2009/08/13 09:00 [entrez]
PHST- 2009/08/13 09:00 [pubmed]
PHST- 2009/10/21 06:00 [medline]
PHST- 2009/08/01 00:00 [pmc-release]
AID - ehp-117-1280 [pii]
AID - 10.1289/ehp.0900648 [doi]
PST - ppublish
SO  - Environ Health Perspect. 2009 Aug;117(8):1280-6. doi: 10.1289/ehp.0900648. Epub 
      2009 May 1.