Macropinocytosis enhances foamy macrophage formation and cholesterol crystallization to activate NLRP3 inflammasome after spinal cord injury.

After spinal cord injury (SCI), phagocytes endocytose myelin debris to form foam cells, exacerbating the inflammatory response. It has been previously shown that macrophages become foam cells through the phagocytosis of myelin debris via receptor-dependent mechanisms after SCI. Blocking receptor-mediated endocytosis did not completely prevent foam cell formation, so we investigated receptor-independent endocytosis.

Eyelid Reconstruction.

Reconstruction of the eyelid is a complex process that requires an understanding of eyelid anatomy and various reconstructive techniques to restore function and appearance. The eyelids, essential for globe protection, moisture retention, and expression, contain the lacrimal system and intricate musculature that make reconstruction challenging. Tumor excision commonly results in defects in the eyelid that require careful reconstructive planning, with consideration for defect dimensions, location, and involvement of surrounding tissue.

Late Age at First Birth is a Protective Factor for Preterm Labor and Delivery: The Evidence From the Genetic Study.

The objective of this study was to investigate the genetic link between the age at first birth (AFB) and the occurrence of preterm labor and delivery, utilizing Mendelian randomization (MR) data alongside genomewide association analysis (GWAS). We obtained AFB-related GWAS summary data from the European Bioinformatics Institute database and preterm labor and delivery data was sourced from the FinnGen Consortium. The study considered AFB as exposure variables, with the incidence of preterm labor and delivery serving as the outcome variable.

Multi-Scale Temporal-Spatial Feature-Based Hybrid Deep Neural Network for Remaining Useful Life Prediction of Aero-Engine.

Remaining useful life (RUL) prediction is crucial for simplifying maintenance procedures and extending the lifespan of aero-engines. Therefore, research on RUL prediction methods for aero-engines is increasingly gaining attention. In particular, some existing deep neural networks based on multiscale features extraction have achieved certain results in RUL predictions for aero-engines.

Comprehensive host cell proteins profiling in biopharmaceuticals by a sensitivity enhanced mass spectrometry strategy using TMT-labeling and signal boosting.

Background: Host Cell Proteins (HCPs) are impurities expressed in host cells during the biopharmaceutical production process, whichmay compromise product quality and potentially leading to immunogenic reactions or other adverse effects. Mass spectrometry (MS)-based strategy is more and more considered as a promising method for HCPs analysis, since it is capable of simultaneously quantifying thousands of proteins in a single test. However, considering the large excess biopharmaceutical product protein present in the system and the extremely low abundance of HCPs, sensitive MS methods are urgently needed in HCPs analysis.