Citations

Abstract In this review, we summarize work over the past 15 years on mucin gene expression and regulation in the lung, as well as how mucin gene expression is altered in chronic lung diseases. This field owes a great debt to Carol Basbaum for her pioneering work in dissecting signaling pathways regulating mucin gene expression and for her tremendous energy in promoting the importance of understanding the basic pathogenic mechanisms that drive mucus overproduction in cystic fibrosis, chronic obstructive pulmonary disease, and asthma.

Abstract Rationale Patients with severe chronic obstructive pulmonary disease (COPD) may have varying levels of disability despite similar levels of lung function. This variation may reflect different COPD subtypes, which may have different genetic predispositions. Objectives To identify genetic associations for COPD-related phenotypes, including measures of exercise capacity, pulmonary function, and respiratory symptoms. Methods In 304 subjects from the National Emphysema Treatment Trial, we genotyped 80 markers in 22 positional and/or biologically plausible candidate genes. Regression models were used to test for association, using a test–replication approach to guard against false-positive results. For significant associations, effect estimates were recalculated using the entire cohort. Positive associations with dyspnea were confirmed in families from the Boston Early-Onset COPD Study. Results The test–replication approach identified four genes—microsomal epoxide hydrolase (EPHX1), latent transforming growth factor-β binding protein-4 (LTBP4), surfactant protein B (SFTPB), and transforming growth factor-β1 (TGFB1)—that were associated with COPD-related phenotypes. In all subjects, single-nucleotide polymorphisms (SNPs) in EPHX1 (p ⩽ 0.03) and in LTBP4 (p ⩽ 0.03) were associated with maximal output on cardiopulmonary exercise testing. Markers in LTBP4 (p ⩽ 0.05) and SFTPB (p = 0.005) were associated with 6-min walk test distance. SNPs in EPHX1 were associated with carbon monoxide diffusing capacity (p ⩽ 0.04). Three SNPs in TGFB1 were associated with dyspnea (p ⩽ 0.002), one of which replicated in the family study (p = 0.02). Conclusions Polymorphisms in several genes seem to be associated with COPD-related traits other than FEV1. These associations may identify genes in pathways important for COPD pathogenesis.

Arterial wall stiffness can be associated with various diseases. Arteriosclerosis involves the buildup of plaques within artery walls that stiffen the arteries. The stiffness of an artery can be assessed by measurement of the pulse wave velocity (PWV). Usually, PWV is estimated using the foot-to-foot method. However, the foot of the pressure wave is not very clear due to reflected waves. Also, the blood pressure wave generated by the heart is normally a low frequency wave, hence the time resolution is low. PWV is an average indicator of artery stiffness between the two measuring positions, and therefore cannot easily identify local stiffness. In this paper a force on the arterial wall is generated noninvasively by the radiation force of ultrasound. Techniques for measuring the propagating wave due to this localized force are studied. The excitation force can be either a very short pulse or a modulated cw signal of a few hundred hertz. The temporal resolution of this method, which is in the range of microseconds, is much higher than the conventional pressure PWV method, and therefore allows the wave velocity to be measured accurately over short distances of a few millimeters.

ABSTRACT Explanted orthopedic implants from 54 patients with aseptic failure and 24 patients with prosthetic knee or hip infection were sonicated in polyethylene bags. The sensitivities of periprosthetic tissue and sonicate fluid cultures for the diagnosis of prosthetic joint infection were 54% and 75%, whereas the specificities were 98% and 87%, respectively. Sonication in bags improved bacterial recovery from the surface of orthopedic implants; however, it lacked specificity, due to bag leakage.

ABSTRACT The Invader 1.0 assay (Invader HCV Genotyping Assay, version 1.0; Third Wave Technologies, Inc., Madison, WI) has been developed for the rapid differentiation of hepatitis C virus (HCV) genotypes 1 to 6 based on sequence variation within the HCV 5′ noncoding (NC) region. In the present study, we evaluated the compatibility of Invader 1.0 with the COBAS MONITOR (COBAS AMPLICOR HCV MONITOR Test, version 2.0; Roche Molecular Systems, Inc., Branchburg, NJ), COBAS AMPLICOR (COBAS AMPLICOR Hepatitis C Virus Test, version 2.0; Roche Molecular Systems, Inc.), and COBAS TaqMan (COBAS TaqMan HCV Test; Roche Molecular Systems, Inc.) assays. The minimum HCV RNA titers required for successful HCV genotyping (≥90% success rate) were 1,000 IU/ml for COBAS MONITOR, 100 IU/ml for COBAS AMPLICOR, and 10 IU/ml for COBAS TaqMan. Invader 1.0 results obtained from unpurified COBAS TaqMan amplification products of 111 retrospectively selected clinical serum specimens (genotypes 1 to 6, with virus titers ranging from 15.1 to 2.1 × 10 7 IU/ml) showed 98% concordance with results obtained from the TRUGENE HCV 5 ′ NC Genotyping Kit (Bayer HealthCare LLC, Tarrytown, NY), used in conjunction with COBAS AMPLICOR. Although the assay is sensitive, accurate, and easy to perform, additional optimization of the Invader 1.0 interpretive software (Invader Data Analysis Worksheet) may be necessary to reduce potential misidentification of HCV genotypes in low-titer specimens. In summary, Invader 1.0 is compatible with a variety of commercially available PCR-based HCV 5′ NC region amplification assays and is suitable for routine HCV genotyping in clinical laboratories.