12 research outputs found

    Surgery and risk for multiple sclerosis: a systematic review and meta-analysis of case–control studies

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    Dental amalgam and multiple sclerosis: a case-control study in Montreal, Canada

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    High throughput, highly multiplexed transcriptional profiling of cytologic preparations from buccal mucosa

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    14104 Background: Alterations in gene expression can be sensitive and informative indicators that a biologically effective exposure occurred. For example, serial specimens could provide evidence that a dose with a biological effect was reached in Phase I testing. Sampling buccal mucosal can provide epithelial cell specimens rapidly with little discomfort. However, ribonucleases in saliva rapidly degrade epithelial cell RNA, prohibiting analysis by standard array techniques. Using buccal cells, we conducted a pilot study to optimize procedures for RNA isolation and analysis and determined influences of gender, race, and cigarette smoking on gene expression. Methods: Buccal cells were collected by scraping the inner cheek with a previously described standardized plastic tool (BioTechniques. 2004;36:484–487) made available Avrum Spira of Boston University. Preliminary experiments compared RNA extraction procedures, including methods based on trizol (Invitrogen, Carlsbad, CA), RNeasy columns (Qiagen, Valencia, CA), and the High Pure RNA Paraffin Kit (Roche, Indiana, USA). After standardization of the method, specimens were obtained from 64 subjects using a blocked design sampling equal numbers of subjects by gender, African American and white race, and smoking status. Gene expression levels were determined using the cDNA-mediated annealing, selection, extension, and ligation assay (Illumina, Inc.), which measures expression of over 500 genes per analysis. Results: The Roche extraction method provided the highest yield of RNA and was used for subsequent assays. Technical replicates were highly reproducible. Preliminary analyses revealed that using P=0.05, 38 genes were expressed differentially by gender, 20 by race, and 10 by smoking status. The genes most differentially expressed by gender included IRF1, MET, STAT1, RAP1GDS1; race CD9, CCNA2, CEACAM1, FVT1; smoking CD44, NQO1, SKI, SRC. Conclusions: Highly multiplexed gene expression analysis of buccal cells are feasible. Demographic characteristics of study subjects can be important, but they do not heavily influence levels for many genes. Results indicate the assays could be provide useful information in cross-sectional or serial studies of the impact of molecular therapeutics. No significant financial relationships to disclose. </jats:p
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