Detection of Influenza type A virus by LightCycler RT-PCR

Using the Roche LightCycler we developed a real-time reverse transcriptase polymerase chain reaction (RT-PCR) assay using the Influenza A LightCycler RT-PCR (FA-LC-RTPCR) for the rapid detection of Influenza A. The assay was used to examine 178 nasopharyngeal aspirate (NPA) samples, from patients with clinically recognised respiratory tract infection, for the presence of Influenza A RNA. The results were then compared to a testing algorithm combining direct immunofluorescent assy (DFA) and a culture augmented DFA (CA-DFA) assay. In total, 76 (43%) specimens were positive and 98 (55%) specimens were negative by both the FA-LC-RTPCR and the DFA and CA-DFA algorithm. In addition, the FA-LC-RTPCR detected a further 4 (2%) positive specimens, which were confirmed by a conventional RT-PCR method. The high level of sensitivity and specificity, combined with the rapid turnaround time for results, makes the LC-RT-PCR assay suitable for the detection of Influenza A in clinical specimens.

Increased TUNEL positive cells in human alcoholic brains

Alcohol-sensitive neuronal cell loss, which has been reported in the superior frontal cortex and hippocampus, may underlie the pathogenesis of subsequent cognitive deficits. In the present study, we have used the TUNEL labeling to detect the DNA damage in human alcoholic brains. Seven out of eleven alcoholics exhibited TUNEL-positive cells in both superior frontal cortex and hippocampus, which were co-localized with GFAP immunoreactivity. In contrast, almost no positive cells were detected in the non-alcoholic controls. None of the TUNEL-positive cells showed any typical morphological features of apoptosis or necrosis. TUNEL-positive cells observed in the present study may indicate DNA damage induced by ethanol-related overproduction of reactive oxygen species. (C) 2003 Elsevier Ireland Ltd. All rights reserved.

The variety of variables in automated real-time refinement

The refinement calculus is a well-established theory for deriving program code from specifications. Recent research has extended the theory to handle timing requirements, as well as functional ones, and we have developed an interactive programming tool based on these extensions. Through a number of case studies completed using the tool, this paper explains how the tool helps the programmer by supporting the many forms of variables needed in the theory. These include simple state variables as in the untimed calculus, trace variables that model the evolution of properties over time, auxiliary variables that exist only to support formal reasoning, subroutine parameters, and variables shared between parallel processes.

Inhibition of early tumor growth requires Jα18-positive (natural killer T) cells

The role of natural killer T (NKT) cells in the immune response to tumor cells has been largely unexplored. As a model of adoptive tumor immunotherapy, cells from the draining lymph nodes of mice immunized with a tumor-specific or irrelevant antigen were transferred to naive recipients with established tumor. Inhibition of early tumor growth (day 4) required the transfer of both CD8(+) and Jalpha18(+) (NKT) cells from immunized animals without regard to immunogen. In contrast, CD8(+) cells, but not Jalpha18(+) cells, were necessary for the inhibition of late tumor growth (day 8). Thus, the developing tumor changes in sensitivity to NKT-mediated events and the role for NKT cells cannot be replaced by the presence of tumor-specific cells during early tumor growth. This suggests that recruitment/activation of Jalpha18(+) NKT cells is an important consideration during the immune therapy of early stage tumors.