Publications by authors named "K Metzner"

The increasingly widespread application of next-generation sequencing (NGS) in clinical diagnostics and epidemiological research has generated a demand for robust, fast, automated, and user-friendly bioinformatics workflows. To guide the choice of tools for the assembly of full-length viral genomes from NGS datasets, we assessed the performance and applicability of four open-source bioinformatics pipelines (shiver-for which we created a user-friendly Dockerized version, referred to as dshiver; SmaltAlign; viral-ngs; and V-pipe) using both simulated and real-world HIV-1 paired-end short-read datasets and default settings. All four pipelines produced consensus genome assemblies with high quality metrics (genome fraction recovery, mismatch and indel rates, variant calling F1 scores) when the reference sequence used for assembly had high similarity to the analyzed sample.

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Background: Identifying risk factors for HIV rebound after treatment interruption is crucial for designing effective remission strategies.

Methods: Peripheral blood mononuclear cells from participants in the Zurich HIV Primary Infection Cohort (ZPHI, N=73) and ACTG study A5345 (N=44) were analyzed before ART interruption. We measured cell-associated HIV RNA, total HIV DNA, and proviral diversity (env gene).

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In people with HIV-1 (PWH), (MTB) infection poses a significant threat. While active tuberculosis (TB) accelerates immunodeficiency, the interaction between MTB and HIV-1 during asymptomatic phases remains unclear. Analysis of peripheral blood mononuclear cells (PBMC) transcriptomic profiles in PWH, with and without controlled viral loads, revealed distinct clustering in MTB-infected individuals.

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Background: Emerging evidence indicates that cyclic nucleotide phosphodiesterases exert distinct functions in pain processing and that targeting phosphodiesterases might be a novel strategy for pain relief. This study hypothesized that the phosphodiesterase isoform PDE10A might be a target for analgesic therapy.

Methods: In situ hybridization, immunostaining, cyclic nucleotide enzyme immunoassays, real-time cyclic guanosine monophosphate imaging, and real-time quantitative reverse transcription polymerase chain reaction were performed to investigate the expression and activity of PDE10A in the dorsal root ganglia and spinal cord.

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Quantitative micro-elastography (QME) is a compression-based optical coherence elastography technique enabling the estimation of tissue mechanical properties on the micro-scale. QME utilizes a compliant layer as an optical stress sensor, placed between an imaging window and tissue, providing quantitative estimation of elasticity. However, the implementation of the layer is challenging and introduces unpredictable friction conditions at the contact boundaries, deteriorating the accuracy and reliability of elasticity estimation.

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