RESUMEN
Tumor-associated macrophages (TAMs) play a vital role in glioma progression and are associated with poor outcomes in glioma patients. However, the specific roles of different subpopulations of TAMs remain poorly understood. Two distinct cell types, glioma and myeloid cells, were identified through single-cell sequencing analysis in gliomas. Within the TAMs-associated weighted gene co-expression network analysis (WGCNA) module, FPR3 emerged as a hub gene and was found to be expressed on CD163+ macrophages, while also being associated with clinical outcomes. Subsequently, a comprehensive assessment was undertaken to investigate the correlation between FPR3 expression and immune characteristics, revealing that FPR3 potentially plays a role in reshaping the glioma microenvironment. We identified a macrophage subset with the nonzero expression of CD163 and FPR3 (CD163+FPR3+). Using the expression profiles of CD163+FPR3+ macrophage-related signature, we employed ten machine learning algorithms to construct a prognostic model across six glioma cohorts. Subsequently, we employed an optimal algorithm to generate an artificial intelligence-driven prognostic signature specifically for CD163+FPR3+ macrophages. The development of this model was based on the average C-index observed in the aforementioned six cohorts. The risk score of this model consistently and effectively predicted overall survival, surpassing the accuracy of conventional clinical factors and 100 previously published signatures. Consequently, the CD163+FPR3+ macrophage-related score shows potential as a prognostic biomarker for glioma patients.
RESUMEN
According to new generation missile test and detection requirements, it is necessary to introduce hardware-in-the-loop (HIL) simulation technology to realize the performance test of the seeker. This paper introduces the concept of secondary imaging and uses the method of focal distance allocation so that the optical system field of view (FOV) can still be greater than 6°, under the condition that the exit pupil distance is larger than 800 mm and a high-quality lighting system is designed. The design results show that when the exit pupil distance of the system is 1000 mm and the FOV is 6.4°, the modulation transfer function (MTF) of the system is 60l p/m m>0.4, and the distortion is less than 0.1%. The uniformity of the illumination system is greater than 90%, meeting the requirements of the design index.
RESUMEN
Der p 2, a major allergen derived from the house dust mite Dermatophagoides pteronyssinus, is one of the most clinically relevant allergens worldwide. Recombinant Der p 2 (rDer p 2) is useful in clinical diagnosis and disease-specific immunotherapy. However, previous studies showed that Der p 2 can only be expressed in Escherichia coli (E. coli) cells as inclusion bodies, thus protein refolding is required to obtain functional products. Here we report a new method to produce biologically active Der p 2 protein in E. coli. N-terminal hexahistidine- and trigger factor (TF)-tagged Der p 2 was expressed in soluble form in E. coli and purified using a combination of chromatography processes. This procedure produced milligram-level high purity Der p 2 per liter of bacterial culture. Moreover, far-UV region circular dichroism (CD) analysis and serum specific IgE reactivity test demonstrated that the secondary structure and IgE reactivity properties of rDer p 2 produced in our study were almost identical to those of natural Der p 2 (nDer p 2). In conclusion, the method developed in this work provides a useful tool for the production of immunologically active recombinant Der p 2 for clinical applications.