Increased HIV-1 transcriptional activity and infectious burden in peripheral blood and gut-associated CD4+ T cells expressing CD30

HIV-1-infected cells persist indefinitely despite the use of combination antiretroviral therapy (ART), and novel therapeutic strategies to target and purge residual infected cells in individuals on ART are urgently needed. Here, we demonstrate that CD4+ T cell-associated HIV-1 RNA is often highly enriched in cells expressing CD30, and that cells expressing this marker considerably contribute to the total pool of transcriptionally active CD4+ lymphocytes in individuals on suppressive ART. Using in situ RNA hybridization studies, we show co-localization of CD30 with HIV-1 transcriptional activity in gut-associated lymphoid tissues. We also demonstrate that ex vivo treatment with brentuximab vedotin, an antibody-drug conjugate (ADC) that targets CD30, significantly reduces the total amount of HIV-1 DNA in peripheral blood mononuclear cells obtained from infected, ART-suppressed individuals. Finally, we observed that an HIV-1-infected individual, who received repeated brentuximab vedotin infusions for lymphoma, had no detectable virus in peripheral blood mononuclear cells. Overall, CD30 may be a marker of residual, transcriptionally active HIV-1 infected cells in the setting of suppressive ART. Given that CD30 is only expressed on a small number of total mononuclear cells, it is a potential therapeutic target of persistent HIV-1 infection

DSP board-based pulmonary symptoms detection using sound processing through acoustical stethoscope

In this paper, an automatic wheeze and crackle detection system is developed. Lung sounds are recorded in a wave file using an acoustical stethoscope amplifier circuit connected to the Blackfin 537 DSP board. The spectrogram is generated from the recorded wave file using Fast Fourier Transfor (FFT). The spectrogram image is passed through a bilateral filter and a limiter to increase the contrast and isolate the higher components. Image processing is used to detect wheezes in the image. Katz-Sevcik fractal dimension (KSFD) is then used to detect crackles. KSFD measures the complexity of a signal. Applying the concepts and techniques used in this study, the system was able to correctly detect normal sounds with an accuracy of 75%, wheezes with an accuracy of 62.5% and crackles with an accuracy of 91.67%

Functional characterization of T cells in abdominal aortic aneurysms

Abdominal aortic aneurysms (AAA) exhibit features of a chronic inflammatory disorder. The functional attributes of the T cells in AAA tissue are unclear, with little quantitative or functional data. Using a novel, non-enzymatic method to isolate viable cells from AAA tissue, functional properties of AAA T cells were investigated for the first time. Composition and phenotype of AAA T cells was determined by flow cytometry and verified by immunohistochemistry. Tissue mononuclear cells (MNCs) were cultured in the presence of T-cell mitogens, and cell cycle analysis and cytokine production assessed. Typical cell yield was 4·5 × 10(6) cells per gram of AAA tissue. The majority (58·1 ± 5·3%) of haematopoietic (CD45(+)) cells recovered were CD3(+) T cells, B cells comprised 41·1 ± 5·7%, natural killer cells 7·3 ± 2·5%, and macrophages 2%. Freshly isolated T cells were in resting (G(1)) state, with 25% expressing the activation-associated cell surface antigens major histocompatibility complex II and CD25. When stimulated in vitro, a significant proportion entered S and G(2) phase of the cell cycle, up-regulated CD25, and secreted tumour necrosis factor-α, interferon-γ, interleukin (IL)-5 and IL-6. Despite patient differences, the composition of the AAA inflammatory infiltrate was remarkably consistent, and when re-stimulated ex-vivo T cells produced a stereotypical cytokine response, consistent with the hypothesis that AAA T cells can promote tissue inflammation by secretion of proinflammatory cytokines, and in addition provide signals for B-cell help