Omicron induced distinct immune respiratory transcriptomics signatures compared to pre-existing variants in critically ill COVID-19 patients.

Severe coronavirus disease 2019 (COVID-19) is related to dysregulated immune responses. We aimed to explore the effect of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants on the immune response by nasopharyngeal transcriptomic in critically-ill patients. This prospective monocentric study included COVID-19 patients requiring intensive care unit (ICU) admission between March 2020 and 2022. Patients were classified according to VOC (ancestral, Alpha, Delta, and Omicron). Eighty-eight patients with severe COVID-19 were included after matching (on prespecified clinical criteria). Profiling of gene expression markers of innate and adaptive immune responses were investigated by respiratory transcriptomics at ICU admission. Eighty-eight patients were included in the study after matching (ancestral [n = 24], Alpha [n = 24], Delta [n = 22], and Omicron [n = 18] variants). Respiratory transcriptomic analysis revealed distinct innate and adaptive immune profiling between variants. In comparison with the ancestral variant, there was a reduced expression of neutrophil degranulation, T cell activation, cytokines signalling pathways in patients infected with Alpha and Delta variants. In contrast, there was a higher expression of neutrophil degranulation, T and B cells activation, and inflammatory interleukins pathways in patients infected with Omicron. To conclude, Omicron induced distinct immune respiratory transcriptomics signatures compared to pre-existing variants in patients with severe COVID-19, pointing to an evolving pathophysiology of severe COVID-19 in the Omicron era.

Bacteriological and mechanical impact of the Sterrad sterilization method on personalized 3D printed guides for mandibular reconstruction.

Surgical cutting guides are increasingly used for maxillofacial reconstruction. They are usually provided by laboratories. In recent years, surgical teams have published studies on the possibility of manufacturing their own cutting guides thanks to 3D printers. The object of this study is to analyze the impact of the sterilization on the surface of those personalized models and to assess the effectiveness of sterilization. Using the data from high-resolution CT scan of patient, 3D models were generated through computerized assisted design and fabricated with a 3D printer using Acrylonitrile Butadiene Styrene (ABS). For the sterilization, a Sterrad method was used. In order to evaluate the effectiveness of sterilization, 3D models were artificially contaminated with several bacterial reference strains, sterilized and finally cultured. The surfaces and mechanical modifications were analyzed before and after sterilization with infrared spectrometry, surface contact angle, extensometer, scanning electron microscopy and atomic force microscopy. Ten models of different shapes and 24 samples were fabricated, sterilized and analyzed. The 3D models were designed in 48 h, printed in an average of 122 min and underwent a 47 min cycle of sterilization. All experimentally contaminated 3D models were negative in culture, with at least, a six log reduction of the initial inoculum. The hydrophobicity and roughness of the surface suffered few changes. The reproducibility of this procedure was proved by identical results in the three sterilization rounds. Using Sterrad process for the sterilization of ABS printed material doesn't represent a bacterial risk for the patient. It is a feasible and safe innovative reconstructive method that can save time particularly for oncological cases.