Clinical Performance of the Novel GenMark Dx ePlex Blood Culture ID Gram-Positive Panel.

Rapid identification from positive blood cultures is standard of care (SOC) in many clinical microbiology laboratories. The GenMark Dx ePlex Blood Culture Identification Gram-Positive (BCID-GP) Panel is a multiplex nucleic acid amplification assay based on competitive DNA hybridization and electrochemical detection using eSensor technology. This multicenter study compared the investigational-use-only (IUO) BCID-GP Panel to other methods of identification of 20 Gram-positive bacteria, four antimicrobial resistance genes, and both Pan Candida and Pan Gram-Negative targets that are unique to the BCID-GP Panel. Ten microbiology laboratories throughout the United States collected residual, deidentified positive blood culture samples for analysis. Five laboratories tested both clinical and contrived samples with the BCID-GP Panel. Comparator identification methods included each laboratory's SOC, which included matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) and automated identification systems as well as targeted PCR/analytically validated real-time PCR (qPCR) with bidirectional sequencing. A total of 2,342 evaluable samples (1,777 clinical and 565 contrived) were tested with the BCID-GP Panel. The overall sample accuracy for on-panel organisms was 89% before resolution of discordant results. For pathogenic Gram-positive targets (Bacillus cereus group, Enterococcus spp., Enterococcus faecalis, Enterococcus faecium, Staphylococcus spp., Staphylococcus aureus, Staphylococcus epidermidis, Staphylococcus lugdunensis, Listeria spp., Listeria monocytogenes, Streptococcus spp., Streptococcus agalactiae, Streptococcus anginosus group, Streptococcus pneumoniae, and Streptococcus pyogenes), positive percent agreement (PPA) and negative percent agreement (NPA) ranged from 93.1% to 100% and 98.8% to 100%, respectively. For contamination rule-out targets (Bacillus subtilis group, Corynebacterium, Cutibacterium acnes, Lactobacillus, and Micrococcus), PPA and NPA ranged from 84.5% to 100% and 99.9% to 100%, respectively. Positive percent agreement and NPA for the Pan Candida and Pan Gram-Negative targets were 92.4% and 95.7% for the former and 99.9% and 99.6% for the latter. The PPAs for resistance markers were as follows: mecA, 97.2%; mecC, 100%; vanA, 96.8%; and vanB, 100%. Negative percent agreement ranged from 96.6% to 100%. In conclusion, the ePlex BCID-GP Panel compares favorably to SOC and targeted molecular methods for the identification of 20 Gram-positive pathogens and four antimicrobial resistance genes in positive blood culture bottles. This panel detects a broad range of pathogens and mixed infections with yeast and Gram-negative organisms from the same positive blood culture bottle.

Absolute and relative changes (delta) in troponin I for early diagnosis of myocardial infarction: Results of a prospective multicenter trial.

OBJECTIVES: We investigated absolute and relative cardiac troponin I (TnI) delta changes, optimal sampling protocols, and decision thresholds for early diagnosis of myocardial infarction (MI). Serial cardiac biomarker values demonstrating a rise and/or fall define MI diagnosis; however the magnitude of change, timing, and diagnostic accuracy of absolute versus relative (percentage) deltas remains unsettled. METHODS: We prospectively measured TnI (AccuTnI+3™, Beckman Coulter) at serial time intervals in 1929 subjects with chest pain or equivalent symptoms of acute coronary syndrome at 14 medical centers. Diagnosis was adjudicated by an independent central committee. RESULTS: Elevated TnI above a threshold of 0.03ng/mL demonstrated significant diagnostic efficacy (AUC 0.96). For patients with TnI<0.03ng/mL and symptom onset≥8h, 99.1% (NPV) were diagnosed with conditions other than MI. Absolute delta performed significantly better than relative delta at 1-3h (AUC 0.84 vs 0.69), 3-6h (0.85 vs 0.73), and 6-9h (0.91 vs 0.79). Current recommendations propose ≥20% delta within 3-6h; however, results were optimized using an absolute delta of 0.01 or 0.02ng/mL. Sensitivity results for absolute delta at 1-3h and 3-6h (75.8%, 78.3%) were superior to relative delta (48.0%, 61.3%). NPV (rule out) was 99.6% when baseline TnI<0.03ng/mL and absolute delta TnI<0.01ng/mL. CONCLUSIONS: Absolute delta performed significantly better than relative delta at all time intervals. Baseline TnI and absolute delta may be used in conjunction to estimate probability of MI. Consensus recommendations are supported for sampling on admission and 3h later, repeated at 6h in patients when clinical suspicion remains high.

Diagnostic performance of cardiac Troponin I for early rule-in and rule-out of acute myocardial infarction: Results of a prospective multicenter trial.

OBJECTIVES: To compare emergency department TnI serial sampling intervals, determine optimal diagnostic thresholds, and report representative diagnostic performance characteristics for early rule-in and rule-out of MI. METHODS: We prospectively measured TnI (AccuTnI+3™, Beckman Coulter) at serial time intervals in 1929 subjects with chest pain or equivalent ischemic symptoms suggestive of acute coronary syndromes at 14 medical centers. Diagnosis was adjudicated by an independent central committee. RESULTS: TnI ≥0.03ng/mL provided 96.0% sensitivity and 89.4% specificity at 1-3h after admission, and 94.9% sensitivity and 86.7% specificity at 3-6h. NPV (rule-out, non-MI) was 99.5% at 1-3h, and 99.0% at 3-6h when TnI is <0.03ng/mL. NPV was 99.1% when TnI is <0.03ng/mL and time of symptom onset is ≥8h. Approximately 50-58% (PPV) of patients with TnI ≥0.03ng/mL were diagnosed with MI, depending upon time from onset or admission; PPVs emphasize the importance of serial samples and delta TnI (rising or falling pattern) when low cutoffs are used. Nevertheless, even a single elevated TnI value increased the risk of MI. As TnI values rose, the probability of MI increased. Values ≥0.20ng/mL were associated with nearly 90% probability of MI. CONCLUSIONS: We report a large multicenter prospective adjudicated trial assessing troponin for early rule-in and rule-out using the Universal Definition of MI and conducted in primary care hospital-associated emergency departments. Our study demonstrates high diagnostic accuracy at early observation times, and reinforces consensus recommendations for sampling on admission and 3h later, repeated at 6h when clinical suspicion remains high.

Rapid assays for quantitating cytokine gene expression without target amplification.

Many drug discovery efforts are focused on finding candidates that alter gene expression of the cytokines involved in inflammation, allergy, and cell-mediated immunity. Current methods used to evaluate gene expression such as northern blot and RT-PCR are laborious, time-consuming, expensive, and are not conducive to high throughput screening. High Performance Signal Amplification (HPSA( trade mark )) gene expression assays quantitate mRNA targets directly from cell lysate samples using DNA probe hybridization and fluorescent signal amplification. The assay format eliminates the need for RNA purification prior to testing and does not involve target amplification. The 96 or 384-well microplate formats allow the method to be run manually, by a workstation approach, or with full automation. Cellular mRNA levels are quantitated relative to a standard curve comprised of highly purified in vitro RNA calibrators. The analytical sensitivity is in the low attomole (10(-18) mole) range. This technique was used to monitor the transcription patterns of mRNA encoding TNF-alpha, IL-1beta, and Interferon-gamma in human cell lines or primary PBMC treated with inducers such as PMA, ionomycin, and endotoxin. The specificity, precision and reproducibility of the assay are sufficient to provide a reliable screening system. The HPSA gene expression assay system offers a rapid and convenient alternative to more cumbersome, expensive methods.

A high-capacity assay for PPARgamma ligand regulation of endogenous aP2 expression in 3T3-L1 cells.

A novel class of insulin-sensitizing agents, the thiazolidinedines (TZDs), has proven effective in the treatment of type 2 diabetes. These compounds, as well as a subclass of non-TZD insulin-sensitizing agents, have been shown to be peroxisome proliferator-activated receptor (PPAR) gamma agonists. PPARgamma plays a critical role in adipogenesis and PPARgamma agonists have been shown to induce adipocyte differentiation. Here, PPARgamma ligand activity has been assessed in murine 3T3-L1 cells, a commonly used in vitro model of adipogenesis, by measuring their ability to induce adipocyte fatty acid-binding protein (aP2) mRNA expression. In order to perform this task, we have developed a novel, multiwell assay for the direct detection of aP2 mRNA in cell lysates that is based on hybridization of mRNA to target-specific oligonucleotides. These oligonucleotide probes are conjugated to enzymes that efficiently process unique chemical substrates into robust fluorescent products. Ribosomal protein 36B4 mRNA, a gene whose expression is unaffected by adipogenesis, serves as the control in the assay. Two assay formats have been developed, a single analyte assay in which aP2 and 36B4 mRNA expression are assayed in separate lysate aliquots and a dual analyte assay which can measure aP2 and 36B4 mRNA simultaneously. Both forms of the assay have been used to quantify attomole levels of aP2 and 36B4 mRNAs in differentiating 3T3-L1 preadipocytes treated with PPARgamma agonists. The potencies of PPARgamma agonists determined by this novel methodology showed good correlation with those derived from aP2 mRNA slot-blot analysis and PPARgamma transactivation assays. We conclude that the aP2 single and dual analyte assays both provide specific and sensitive measurements of endogenous aP2 mRNA levels that can be used to assess the activity of PPARgamma ligands in 3T3-L1 cells. Since the assay obviates the need for RNA isolation and is performed in an automatable multiwell format, it can serve as a high-throughput, cell-based screen for the identification and characterization of PPARgamma modulators.