Publications by authors named "Patricia L Ruppel"

This study developed potential blood-based biomarker tests for diagnosing and differentiating schizophrenia (SZ), bipolar disorder type I (BD), and normal control (NC) subjects using mRNA gene expression signatures. A total of 90 subjects ( = 30 each for the three groups of subjects) provided blood samples at two visits. The Affymetrix exon microarray was used to profile the expression of over 1.

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Objective: Medication errors involving intravenous medications continue to be a significant problem, particularly in the pediatric population due to the high rate of point-of-care and weight-adjusted dosing. The pharmaceutical algorithm computerized calculator (pac2) assists in converting physician medication orders to correct volumes and rates of administration for intravenous medications. This study was designed to assess the efficacy of the pac2 in simulated clinical scenarios of point-of-care dosing.

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Background: Preliminary work suggests that single-pulse transcranial magnetic stimulation (sTMS) could be effective as a treatment for migraine. We aimed to assess the efficacy and safety of a new portable sTMS device for acute treatment of migraine with aura.

Methods: We undertook a randomised, double-blind, parallel-group, two-phase, sham-controlled study at 18 centres in the USA.

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In previous studies, we reported that key antioxidant and DNA repair genes are regulated differently in normal bronchial epithelial cells of lung cancer cases compared with non-lung cancer controls. In an effort to develop a biomarker for lung cancer risk, we evaluated the transcript expressions of 14 antioxidant, DNA repair, and transcription factor genes in normal bronchial epithelial cells (HUGO names CAT, CEBPG, E2F1, ERCC4, ERCC5, GPX1, GPX3, GSTM3, GSTP1, GSTT1, GSTZ1, MGST1, SOD1, and XRCC1). A test comprising these 14 genes accurately identified the lung cancer cases in two case-control studies.

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Background: Transcript abundance (TA) measurement in whole blood frequently is conducted to identify potential biomarkers for disease risk and to predict or monitor drug response. Potential biomarkers discovered in this way must be validated by quantitative technology. In this study we assessed the use of standardized reverse transcription PCR (StaRT-PCR) to validate potential biomarkers discovered through whole blood TA profiling.

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We have evaluated the performance characteristics of three quantitative gene expression technologies and correlated their expression measurements to those of five commercial microarray platforms, based on the MicroArray Quality Control (MAQC) data set. The limit of detection, assay range, precision, accuracy and fold-change correlations were assessed for 997 TaqMan Gene Expression Assays, 205 Standardized RT (Sta)RT-PCR assays and 244 QuantiGene assays. TaqMan is a registered trademark of Roche Molecular Systems, Inc.

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