Objective: Whole genome sequencing (WGS) can help identify transmission of pathogens causing healthcare-associated infections (HAIs). However, the current gold standard of short-read, Illumina-based WGS is labor and time intensive. Given recent improvements in long-read Oxford Nanopore Technologies (ONT) sequencing, we sought to establish a low resource approach providing accurate WGS-pathogen comparison within a time frame allowing for infection prevention and control (IPC) interventions.
View Article and Find Full Text PDFThe SIDDHARTA-2 collaboration has developed a novel X-ray detection system based on cadmium-zinc-telluride (CZT, CdZnTe), marking the first application of this technology at the DAΦNE electron-positron collider at INFN-LNF. This work aims to demonstrate the stability of the detectors' performance in terms of linearity and resolution over short and long periods, thereby establishing their suitability for precise spectroscopic measurements within a collider environment. A reference calibration spectrum is presented in association with findings from assessments of linearity and resolution stability.
View Article and Find Full Text PDFMucormycosis is an emerging, life-threatening human infection caused by fungi of the order Mucorales. Metabolic disorders uniquely predispose an ever-expanding group of patients to mucormycosis via poorly understood mechanisms. Therefore, it is highly likely that uncharacterized host metabolic effectors confer protective immunity against mucormycosis.
View Article and Find Full Text PDFIntroduction: Despite the declining public health emergency status, COVID-19 still poses significant risks, especially for immunocompromised individuals. We aimed to evaluate the effectiveness of tixagevimab-cilgavimab (T-C) prophylaxis in preventing severe COVID-19 in patients with hematologic malignancies (HM) treated with anti-CD20 therapy during the early Omicron variant phase of the pandemic.
Methods: The European Society of Clinical Microbiology and Infectious Diseases Study Group for Respiratory Viruses (ESGREV) conducted a multicenter retrospective cohort study involving 15 centers from 5 countries.
Objective: Routine use of whole genome sequencing (WGS) has been shown to help identify transmission of pathogens causing healthcare-associated infections (HAIs). However, the current gold standard of short-read, Illumina-based WGS is labor and time-intensive. In light of recent improvements in long-read Oxford Nanopore Technologies (ONT) sequencing, we sought to establish a low resource utilization approach capable of providing accurate WGS-based comparisons of HAI pathogens within a time frame allowing for infection prevention and control (IPC) interventions.
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