Global mass spectrometry (MS) profiling and spectral count quantitation are used to identify unique or differentially expressed proteins and can help identify potential biomarkers. MS has rarely been conducted in retrospective studies, because historically, available samples for protein analyses were limited to formalin-fixed, paraffin-embedded (FFPE) archived tissue specimens. Reliable methods for obtaining proteomic profiles from FFPE samples are needed. Proteomic analysis of these samples has been confounded by formalin-induced protein cross-linking. The performance of extracted proteins in a liquid chromatography tandem MS format from FFPE samples and extracts from whole and laser capture microdissected (LCM) FFPE and frozen/optimal cutting temperature (OCT)-embedded matched control rat liver samples were compared. Extracts from FFPE and frozen/OCT-embedded livers from atorvastatin-treated rats were further compared to assess the performance of FFPE samples in identifying atorvastatin-regulated proteins. Comparable molecular mass representation was found in extracts from FFPE and OCT-frozen tissue sections, whereas protein yields were slightly less for the FFPE sample. The numbers of shared proteins identified indicated that robust proteomic representation from FFPE tissue and LCM did not negatively affect the number of identified proteins from either OCT-frozen or FFPE samples. Subcellular representation in FFPE samples was similar to OCT-frozen, with predominantly cytoplasmic proteins identified. Biologically relevant protein changes were detected in atorvastatin-treated FFPE liver samples, and selected atorvastatin-related proteins identified by MS were confirmed by Western blot analysis. These findings demonstrate that formalin fixation, paraffin processing, and LCM do not negatively impact protein quality and quantity as determined by MS and that FFPE samples are amenable to global proteomic analysis.

S U M M A R Y Microarrays have been used to simultaneously monitor the expression of thousands of genes from biological samples, an approach that can potentially uncover previously unrecognized functions of genes. Microarray analyses can rarely be conducted retrospectively because of the requirement for RNA to be obtained from fresh or unfixed frozen tissues. Archived pathology specimens would need to be used for retrospective analyses, and these are typically preserved as formalin-fixed, paraffin-embedded (FFPE) tissue. Formalin-fixed tissues have been shown to yield compromised RNA compared with that obtained from frozen tissue. To begin to assess the performance of RNA extracted from FFPE samples on a microarray format, we compared RNA from a model system of pelleted lipopolysaccharidestimulated human bone marrow stromal cells that were snap frozen with RNA from FFPE cells. RNA integrity and Affymetrix quality control parameters were assessed, and differentially regulated genes were analyzed with Ingenuity Pathway Analysis software. Results demonstrate that both snap-frozen and FFPE samples yielded intact RNA suitable for amplification prior to Affymetrix GeneChip analysis. Although some transcriptional information was lost with RNA extracted from the FFPE samples, Ingenuity Pathway Analysis revealed that the major pathways identified as affected by drug treatment were similar. Results show that FFPE samples are amenable to Affymetrix GeneChip analysis, expanding the possibility for expression profiling on archived tissue blocks in pathology laboratories.

No abstract

Better biomarkers are needed to identify, characterize, and/or monitor drug-induced vascular injury (DIVI) in nonclinical species and patients. The Predictive Safety Testing Consortium (PSTC), a precompetitive collaboration of pharmaceutical companies and the U.S. Food and Drug Administration (FDA), formed the Vascular Injury Working Group (VIWG) to develop and qualify translatable biomarkers of DIVI. The VIWG focused its research on acute DIVI because early detection for clinical and nonclinical safety monitoring is desirable. The VIWG developed a strategy based on the premise that biomarkers of DIVI in rat would be translatable to humans due to the morphologic similarity of vascular injury between species regardless of mechanism. The histomorphologic lexicon for DIVI in rat defines degenerative and adaptive findings of the vascular endothelium and smooth muscles, and characterizes inflammatory components. We describe the mechanisms of these changes and their associations with candidate biomarkers for which advanced analytical method validation was completed. Further development is recommended for circulating microRNAs, endothelial microparticles, and imaging techniques. Recommendations for sample collection and processing, analytical methods, and confirmation of target localization using immunohistochemistry and in situ hybridization are described. The methods described are anticipated to aid in the identification and qualification of translational biomarkers for DIVI.

Transcriptional profiling of specific elements of vasculature from animal models of vascular toxicity is an approach to gain insight into molecular mechanisms of vascular injury. Feasibility of using laser capture microdissection (LCM) to evaluate differential gene expression in selected elements of mesenteric arteries (MA) from untreated rats and rats given a single vasotoxic dose of 100 mg/kg Fenoldopam and euthanized 1 or 4 hours postdose was assessed. Regions of MA (endothelial cells [EC] and vascular smooth muscle cells [VSMC]) were selectively microdissected from optimal-cutting-temperature (O.C.T.)-embedded-frozen tissue sections. RNA was isolated, linearly amplified (LA), and hybridized to Affymetrix GeneChips. Enrichment for specific vascular elements was evident by unique gene-expression profiles. Statistical analysis indicated that Fenoldopam treatment resulted in differential expression of 333 versus 458 genes in EC and 371 versus 618 genes in VSMC at the 1-hour or 4-hour time point, respectively. Analysis of regulated EC and VSMC genes common to both time points identified several gene functions or pathways affected by treatment. Several genes were identified in EC and/or VSMC that have not been previously linked to vascular structure or function. These data indicate that tissue-element-enrichment by LCM in conjunction with LA and GeneChip analysis offers a refined approach for assessment of injury-mediated transcriptome changes in distinct elements of the vasculature.