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Conformational aspects of glutathione conjugates of chlorinated alkenes: a computational study

J Y Shim1, A M Richard

  • 1National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA.

Insights

Computational methods predict the stability and abundance of glutathione (GS) conjugate isomers of halogenated alkenes. This helps understand their varying toxicities and metabolic pathways in the kidney.

Area of Science:

  • Toxicology
  • Computational Chemistry
  • Environmental Health

Background:

  • Halogenated alkenes cause kidney toxicity via beta-lyase activation of hepatic glutathione (GS) conjugates.
  • Different isomers of these conjugates exhibit varying metabolic rates, pathways, and toxicities.

Purpose of the Study:

  • To computationally determine the relative stabilities of regioisomers and geometric isomers of GS-haloalkene conjugates.
  • To predict the relative abundance of these isomers under synthetic and in vivo conditions.

Main Methods:

  • Applied computational methods for conformational study of GS-haloalkene conjugates.
  • Calculated energies of GS conjugate products for 1,1,2-trichloroethylene (TCE), hexachloro-1,3-butadiene (HCBD), and 1,1,2-trichloro-3,3,3-trifluoro-1-propene (TCTFP).
  • Inferred relative isomer abundance based on computed energies, assuming thermodynamic control.

Main Results:

  • Computational predictions for TCE isomers agreed with experimental data.
  • Calculations supported one GS conjugate isomer assignment for HCBD, contradicting previous assumptions.
  • For TCTFP, calculations predicted similar populations for three isomers, while experiments detected only two.

Conclusions:

  • Computational energy calculations can predict the relative abundance and stability of GS-haloalkene isomers.
  • This approach aids in understanding the toxicological profiles of different halogenated alkene metabolites.
  • The study highlights the utility of computational chemistry in predicting isomer-specific toxicities and metabolic fates.

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