Biomedical subjects
Publications and source records attributed to J O Lay.
2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) has been detected at levels ranging from 20 to 173 parts per trillion in adipose tissue from three Vietnam veterans who were "heavily exposed" to Herbicide Orange. Some tissue samples from other Vietnam veterans and from controls also contained 2,3,7,8-TCDD at levels below 20 parts per trillion.
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The development of MALDI-TOF mass spectrometry methods for the characterization of bacteria is reviewed and discussed. The general use of MALDI for the characterization of large biomolecules led directly to obvious applications involving the analysis of isolated bacterial proteins. More surprising was the observation that MALDI-TOF mass spectrometry could be applied directly to crude cellular fractions or cellular suspensions and that the resulting data from such complex mixtures could provide evidence for chemotaxonomic classification. Versatility and the rapidity of analysis led to the rapid development of a number of MALDI-TOF methods involving bacteria. Examples of some of the applications covered in this review are the analysis of bacterial RNA and DNA, the detection of recombinant proteins, the characterization of targeted or unknown proteins, bacterial proteomics, the detection of virulence markers, and the very rapid characterization of bacteria at the genus, species, and strain level. The demonstrated capability of taxonomic classification at the strain level, using unprocessed cells, opens the possibility that MALDI-TOF and similar mass spectrometry approaches may contribute significantly to fulfilling emerging needs for the development of near real-time methods for the characterization of bacteria.
We have developed a spectroscopic data-activity relationship (SDAR) model based on 13C NMR spectral data for 30 estrogenic chemicals whose relative binding affinities (RBA) are available for the alpha (ERalpha) and beta (ERbeta) estrogen receptors. The SDAR models segregated the 30 compounds into strong and medium binding affinities. The SDAR model gave a leave-one-out (LOO) cross-validation of 90%. Two compounds that were classified incorrectly in the SDAR model were in the transition zone between classifications. Real and predicted 13C NMR chemical shifts were used with test compounds to evaluate the predictive behavior of the SDAR model. The 13C NMR SDAR model using predicted 13C NMR data for the test compounds provides a rapid, reliable, and simple way to screen whether a compound binds to the estrogen receptors.
We have developed four spectroscopic data-activity relationship (SDAR) models of monodechlorination of 32 chlorinated benzene compounds in anaerobic estuarine sediment. The SDAR models were based on combinations of 13C nuclear magnetic resonance (NMR), infrared absorption (IR), and electron ionization mass spectrometric (EI MS) data. The SDAR models segregated the 32 compounds into 17 readily monodechlorinated compounds and 15 not readily monodechlorinated compounds. The SDAR model based on 13C NMR, IR, and EI MS data gave a leave-one-out cross-validation of 93.8%. The SDAR model based on a composite of 13C NMR and IR data gave a leave-one-out cross-validation of 90.6%. The SDAR model based on a composite of IR and EI MS data gave a leave-one-out cross-validation of 84.4%. The SDAR model based on a composite of 13C NMR and EI MS data gave a leave-one-out cross-validation of 84.4%. These reliable SDAR models provide a rapid and simple way to predict whether a chlorinated benzene compound will readily go through monodechlorination. The FDA has filed a patent application on methods of using any combination of spectral data (NMR, MS, UV-vis, IR, and fluorescence, phosphorescence) to model a chemical, physical, or biological endpoint.
Five quantitative spectroscopic data-activity relationships (QSDAR) models for 50 steroidal inhibitors binding to aromatase enzyme have been developed based on simulated (13)C nuclear magnetic resonance (NMR) data. Three of the models were based on comparative spectral analysis (CoSA), and the two other models were based on comparative structurally assigned spectral analysis (CoSASA). A CoSA QSDAR model based on five principal components had an explained variance (r(2)) of 0.78 and a leave-one-out (LOO) cross-validated variance (q(2)) of 0.71. A CoSASA model that used the assigned (13)C NMR chemical shifts from a steroidal backbone at five selected positions gave an r(2) of 0.75 and a q(2) of 0.66. The (13)C NMR chemical shifts from atoms in the steroid template position 9, 6, 3, and 7 each had correlations greater than 0.6 with the relative binding activity to the aromatase enzyme. All five QSDAR models had explained and cross-validated variances that were better than the explained and cross-validated variances from a five structural parameter quantitative structure-activity relationship (QSAR) model of the same compounds. QSAR modeling suffers from errors introduced by the assumptions and approximations used in partial charges, dielectric constants, and the molecular alignment process of one structural conformation. One postulated reason that the variances of QSDAR models are better than the QSAR models is that (13)C NMR spectral data, based on quantum mechanical principles, are more reflective of binding than the QSAR model's calculated electrostatic potentials and molecular alignment process. The QSDAR models provide a rapid, simple way to model the steroid inhibitor activity in relation to the aromatase enzyme.
The covalent binding of the carcinogenic N-hydroxy metabolites of 2-amino-3-methylimidazo-[4,5-f]quinoline (IQ) and 2-amino-3,8-dimethylimidazo[4,5-f]quinoxaline (MeIQx) to deoxynucleosides and DNA was investigated in vitro. Two major adducts were formed by the reaction of the N-acetoxy derivatives of IQ and MeIQx with deoxyguanosine (dG); however, no adducts were formed with deoxycytidine, deoxyadenosine, or thymidine. From proton NMR and mass spectroscopic characterization the adducts were identified as 5-(deoxyguanosin-N2-yl)-2-amino-3-methylimidazo[4,5-f]quinoline (dG-N2-IQ),N-(deoxyguanosin-8-yl)-2-amino-3-methylimidazo-[4,5-f]q uinoline (dG-C8-IQ), 5-(deoxyguanosin-N2-yl)-2-amino-3,8-dimethylimidazo[4,5-f]qu inoxaline (dG-N2-MeIQx), and N-(deoxyguanosin-8-yl)-2-amino-3,8-dimethylimidazo[4,5-f]qui noxaline (dG-C8-MeIQx). The level of dG-C8 adducts was approximately 8-10 times greater than the amount of dG-N2 adducts formed from the reaction of dG with the N-acetoxy derivatives of IQ and MeIQx. The C-8-substituted dG adduct was also the major adduct formed from reactions of DNA with N-acetoxy-IQ and N-acetoxy-MeIQx. Approximately 60-80% of the bound carcinogens were recovered from DNA as dG-C8 adducts upon enzymatic digestion. The dG-N2 adducts also were detected and accounted for approximately 4% of the bound IQ and 10% of the bound MeIQx. These results suggest that the relative contributions of the nitrenium and carbenium ion resonance forms as well as DNA macromolecular structure are major determinants for DNA adduct substitution sites. Investigations on adduct conformation of 1H NMR spectroscopy revealed that the anti form is preferred for the dG-N2 adducts of IQ and MeIQx, while the syn form is preferred for the dG-C8 adducts. The possible role of these adducts in the initiation of carcinogenesis is discussed.
The covalent binding of the N-acetoxy-, N-hydroxy-, and nitro derivatives of the food-borne carcinogen 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP) to 2'-deoxyribonucleosides or DNA was investigated in vitro and in vivo. N-Acetoxy-PhIP reacted with deoxyguanosine (dG), but not with the other deoxyribonucleosides, to form N-(deoxyguanosin-8-yl)-PhIP (dG-C8-PhIP), whose structure was determined by NMR and mass spectral analyses and by ultraviolet absorption and pH-solvent partitioning characteristics. While reaction of N-acetoxy-PhIP with calf thymus DNA at pH 5.0 yielded 5.38 +/- 1.16 nmol of bound PhIP residues/mg of DNA, N-hydroxy-PhIP gave only 0.13-0.23 nmol binding/mg of DNA under identical reaction conditions. Nitro-PhIP produced no detectable binding under these conditions. HPLC analysis of 1-butanol extracts of enzymatically hydrolyzed DNA that had been modified by N-acetoxy-PhIP in vitro showed a major adduct which coeluted with and had an ultraviolet absorption and a mass spectrum that were identical to that of authentic dG-C8-PhIP. 32P-Postlabeling analysis of DNA isolated from colon, pancreas, lung, heart, and liver of rats treated orally with PhIP revealed the presence of a major PhIP-DNA adduct. This adduct had chromatographic properties identical to that of the 32P-labeled bis(phosphate) derivative of dG-C8-PhIP and represented 35-45% of the total adducts.(ABSTRACT TRUNCATED AT 250 WORDS)
Elimination and metabolic profiles of the glucuronide products of doxylamine and its N-demethylated metabolites were determined after the oral administration of (14C)-doxylamine succinate (13.3 and 133 mg/kg doses) to male and female Fischer 344 rats. The cumulative urinary and fecal eliminations of these conjugated doxylamine metabolites at the 13.3 mg/kg dose were 44.4 +/- 4.2% and 47.3 +/- 8.1% of the total recovered dose for male and female rats, respectively. The cumulative urinary and fecal eliminations of conjugated doxylamine metabolites at the 133 mg/kg dose were 55.2 +/- 2.6% and 47.9 +/- 2.5% of the total recovered dose for male and female rats, respectively. The conjugated doxylamine metabolites that were isolated, quantitated, and identified are doxylamine O-glucuronide, N-desmethyl-doxylamine O-glucuronide, and N,N-didesmethyldoxylamine O-glucuronide.