Comprehensive analysis of immunogenic cell death-related gene and construction of prediction model based on WGCNA and multiple machine learning in severe COVID-19.

The death of coronavirus disease 2019 (COVID-19) is primarily due to from critically ill patients, especially from ARDS complications caused by SARS-CoV-2. Therefore, it is essential to contribute an in-depth understanding of the pathogenesis of the disease and to identify biomarkers for predicting critically ill patients at the molecular level. Immunogenic cell death (ICD), as a specific variant of regulatory cell death driven by stress, can induce adaptive immune responses against cell death antigens in the host.

MiR-9a-5p alleviates ventilator-induced lung injury in rats by inhibiting the activation of the MAPK signaling pathway via CXCR4 expression downregulation.

Background: Globally, Mechanical ventilation is the most commonly used short-term life support technology. Ventilator-induced lung injury (VILI) is an inflammatory injury caused by mechanical ventilation. MicroRNAs (miRNAs) are considered as new gene regulators that play an important role in lung injury and inflammation.

[Effect of varying lingual traction forces on the space-closing speed in a typodont model].

Objective: To investigate the influences of varying lingual traction forces on the space-closing speed in a typodont model.

Methods: Forty-two Angle Class I standard typodont models of bimaxillary teeth protrusion were divided into 7 equal groups. Four regions of the model were paired to groups, and in the odd-numbered models, the top left and bottom left regions served as the experimental group and the top right and bottom right regions as the control group; in the even-numbered models, the regions in the model were grouped oppositely.