RESUMO
γ-Coniceine, coniine, and N-methylconiine are toxic alkaloids present in poison hemlock (Conium maculatum). We previously reported the comparison of the relative potencies of (+)- and (-)-coniine enantiomers. In this study, we synthesized γ-coniceine and the enantiomers of N-methylconiine and determined the biological activity of γ-coniceine and each of the N-methylconiine enantiomers in vitro and in vivo. The relative potencies of these piperidine alkaloids on cells expressing human fetal muscle-type nicotinic acetylcholine receptors had the rank order of γ-coniceine > (-)-N-methylconiine > (±)-N-methylconiine > (+)-N-methylconiine. The relative lethalities of γ-coniceine and (-)-, (±)-, and (+)-N-methylconiine in vivo using a mouse bioassay were 4.4, 16.1, 17.8, and 19.2 mg/kg, respectively. The results from this study suggest γ-coniceine is a more potent agonist than the enantiomers of N-methylconiine and that there is a stereoselective difference in the in vitro potencies of the enantiomers of N-methylconiine that correlates with the relative toxicities of the enantiomers in vivo.
Assuntos
Alcaloides/toxicidade , Agonistas Nicotínicos/toxicidade , Piridinas/toxicidade , Alcaloides/química , Animais , Linhagem Celular Tumoral , Humanos , Dose Letal Mediana , Masculino , Camundongos , Agonistas Nicotínicos/química , Piridinas/química , Receptores Nicotínicos/metabolismo , EstereoisomerismoRESUMO
The utility of low viscosity mobile phases and long chromatographic columns for complex polymer analysis is demonstrated. We use long column supercritical fluid chromatography/mass spectrometry (SFC/MS) with electrospray ionization (ESI) to characterize a variety of complex, low molecular weight polymers. When quantitative analysis is desired, the resulting three-dimensional (time, intensity, and mass-to-charge ratio [m/z]) data are converted to images. Custom image analysis software is used to detect and integrate peaks in arbitrarily defined regions of the time-m/z map. These integrated peak volumes can be used to quantitate distinct component classes of the polymer mixtures.