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Sidney Nelson

Publications and source records attributed to Sidney Nelson.

2 recordsLinked to original sources

Identification of potential genomic biomarkers of hepatotoxicity caused by reactive metabolites of N-methylformamide: Application of stable isotope labeled compounds in toxicogenomic studies.

The inability to predict if a metabolically bioactivated compound will cause toxicity in later stages of drug development or post-marketing is of serious concern. One approach for improving the predictive success of compound toxicity has been to compare the gene expression profile in preclinical models dosed with novel compounds to a gene expression database generated from compounds with known toxicity. While this guilt-by-association approach can be useful, it is often difficult to elucidate gene expression changes that may be related to the generation of reactive metabolites. In an effort to address this issue, we compared the gene expression profiles obtained from animals treated with a soft-electrophile-producing hepatotoxic compound against corresponding deuterium labeled analogues resistant to metabolic processing. Our aim was to identify a subset of potential biomarker genes for hepatotoxicity caused by soft-electrophile-producing compounds. The current study utilized a known hepatotoxic compound N-methylformamide (NMF) and its two analogues labeled with deuterium at different positions to block metabolic oxidation at the formyl (d(1)) and methyl (d(3)) moieties. Groups of mice were dosed with each compound, and their livers were harvested at different time intervals. RNA was prepared and analyzed on Affymetrix GeneChip arrays. RNA transcripts showing statistically significant changes were identified, and selected changes were confirmed using TaqMan RT-PCR. Serum clinical chemistry and histopathologic evaluations were performed on selected samples as well. The data set generated from the different groups of animals enabled us to determine which gene expression changes were attributed to the bioactivating pathway. We were able to selectively modulate the metabolism of NMF by labeling various positions of the molecule with a stable isotope, allowing us to monitor gene changes specifically due to a particular metabolic pathway. Two groups of genes were identified, which were associated with the metabolism of a certain part of the NMF molecule. The metabolic pathway leading to the production of reactive methyl isocyanate resulted in distinct expression patterns that correlated with histopathologic findings. There was a clear correlation between the expression of certain genes involved in the cell cycle/apoptosis and inflammatory pathways and the presence of reactive metabolite. These genes may serve as potential genomic biomarkers of hepatotoxicity induced by soft-electrophile-producing compounds. However, the robustness of these potential genomic biomarkers will need to be validated using other hepatotoxicants (both soft- and hard-electrophile-producing agents) and compounds known to cause idiosyncratic liver toxicity before being adopted into the drug discovery screening process.

Animals↗

Optimization of reversed-phase microcapillary liquid chromatography for quantitative proteomics.

Currently, the field of shotgun proteomics relies primarily on the separation of peptides by reversed-phase microcapillary chromatography (RP-microLC) combined with either electrospray ionization (ESI) or matrix-assisted laser desorption ionization (MALDI) and tandem mass spectrometry (MS/MS) for protein identification as well as quantification. For this purpose we herein describe construction of a RP-microLC-ESI column-emitter along with optimized microLC conditions for using the device to quantify pair-wise changes in protein expression via the isotope coded affinity tag (ICAT) method that also maximize peak capacity. These optimized RP-microLC parameters required a balance be reached between the disparate needs of quantification which requires good peak shape and identification (i.e. proteome coverage) of proteins via peptide collision induced dissociation (CID) which requires peak capacity be maximized. A complex biological sample from a study of murine acetaminophen toxicity in hepatocyes was chosen for method development because of the high level complexity, but the biological results are not the focus of this manuscript.

Amino Acid Sequence↗