PMID- 27136717
OWN - NLM
STAT- MEDLINE
DCOM- 20170217
LR  - 20181202
IS  - 2050-7895 (Electronic)
IS  - 2050-7887 (Linking)
VI  - 18
IP  - 8
DP  - 2016 Aug 10
TI  - Re-analysis of narcotic critical body residue data using the equilibrium 
      distribution concept and refined partition coefficients.
PG  - 1024-9
LID - 10.1039/c6em00180g [doi]
AB  - Narcosis occurs as a result of the accumulation of chemicals in the phospholipid 
      membrane. The toxic threshold concentration in the membrane is thought to be 
      relatively constant across different chemicals and species. Hence, estimating 
      chemical concentrations in the membrane is expected to reduce the variability of 
      narcotic critical body residue (CBR) data. In this study, a high quality CBR 
      dataset for three aquatic species reported recently in the literature was 
      evaluated with the internal equilibrium distribution concept. The raw 
      wet-weight-based CBR values were converted to membrane-weight-based CBR values by 
      assuming that the chemical is distributed in storage lipids, membranes, proteins, 
      and water according to the respective equilibrium partition coefficients. Several 
      sets of partition coefficients were compared for this analysis. The results were 
      consistent with the notion that the use of a structural protein instead of serum 
      albumin as a surrogate for the body protein fraction could reduce the variability 
      of CBRs. Partition coefficients predicted by polyparameter linear free energy 
      relationships (PP-LFERs) reduced the variability of CBRs as much as or even more 
      than experimental partition coefficients did. It is suggested that CBR data for 
      chemicals with larger structural diversity and biological species with more 
      distinct compositions are needed to evaluate further the equilibrium distribution 
      concept and the constant membrane threshold hypothesis.
FAU - Endo, Satoshi
AU  - Endo S
AD  - Urban Research Plaza & Graduate School of Engineering, Osaka City University, 
      Sugimoto 3-3-138, Sumiyoshi-ku, 558-8585 Osaka, Japan. 
      satoshi.endo@urban.eng.osaka-cu.ac.jp.
LA  - eng
PT  - Journal Article
PL  - England
TA  - Environ Sci Process Impacts
JT  - Environmental science. Processes & impacts
JID - 101601576
RN  - 0 (Narcotics)
RN  - 059QF0KO0R (Water)
SB  - IM
MH  - Amphipoda
MH  - Animals
MH  - Annelida
MH  - Body Burden
MH  - Cell Membrane/*chemistry
MH  - Narcotics/*chemistry/*toxicity
MH  - Poecilia
MH  - Stupor/*chemically induced
MH  - Toxicity Tests
MH  - Water
EDAT- 2016/05/04 06:00
MHDA- 2017/02/18 06:00
CRDT- 2016/05/04 06:00
PHST- 2016/05/04 06:00 [entrez]
PHST- 2016/05/04 06:00 [pubmed]
PHST- 2017/02/18 06:00 [medline]
AID - 10.1039/c6em00180g [doi]
PST - ppublish
SO  - Environ Sci Process Impacts. 2016 Aug 10;18(8):1024-9. doi: 10.1039/c6em00180g.