Edmondson Foss (lionquart33)

Background Synovial fluid analysis is essential for diagnosing crystal-induced arthritis. Monosodium urate monohydrate (MSU) crystals in gout and calcium pyrophosphate dihydrate (CPP) crystals in pseudogout trigger inflammatory reactions that result in white blood cell (WBC) activation. This study aimed to evaluate the predictive value of synovial fluid WBC count and total protein concentration for the absence of microcrystals. Materials and methods This prospective study analyzed all synovial fluid samples collected at a single center in a 6-month period. The absolute WBC count and total protein concentration were recorded for each sample. A single expert used polarized light microscopy to detect microcrystals. Mann-Whitney U-tests was used to compare mean counts and concentrations in samples with and without crystals. Diagnostic performance was assessed through the area under the receiver-operating characteristic curve (AUC). Results A total of 205 samples were included. The absolute WBC count was significantly higher in samples with crystals than in those without. No differences were found between MSU and CPP. The ROC curve showed an AUC 0.773, and an absolute WBC count less then 1650/mm3 yielded 95.7% sensitivity, 53.1% specificity, and 97.7% negative predictive value for predicting the absence of microcrystals. Total protein concentration was not significantly different between samples with and without crystals. Conclusion The WBC count is useful for screening for the absence of microcrystals in synovial fluid; the cutoff less then 1650 WBC/mm3 accurately predicts the absence of crystals, obviating the need for polarized light microscopy and thus simplifying and shortening laboratory analysis of synovial fluid, leading to a reduction in laboratory turnaround time.Brain malignancies can either originate from within the CNS (gliomas) or invade from other locations in the body (metastases). A highly immunosuppressive tumor microenvironment (TME) influences brain tumor outgrowth. Whether the TME is predominantly shaped by the CNS micromilieu or by the malignancy itself is unknown, as is the diversity, origin, and function of CNS tumor-associated macrophages (TAMs). Here, we have mapped the leukocyte landscape of brain tumors using high-dimensional single-cell profiling (CyTOF). The heterogeneous composition of tissue-resident and invading immune cells within the TME alone permitted a clear distinction between gliomas and brain metastases (BrM). selleck inhibitor The glioma TME presented predominantly with tissue-resident, reactive microglia, whereas tissue-invading leukocytes accumulated in BrM. Tissue-invading TAMs showed a distinctive signature trajectory, revealing tumor-driven instruction along with contrasting lymphocyte activation and exhaustion. Defining the specific immunological signature of brain tumors can facilitate the rational design of targeted immunotherapy strategies.Brain malignancies encompass a range of primary and metastatic cancers, including low-grade and high-grade gliomas and brain metastases (BrMs) originating from diverse extracranial tumors. Our understanding of the brain tumor microenvironment (TME) remains limited, and it is unknown whether it is sculpted differentially by primary versus metastatic disease. We therefore comprehensively analyzed the brain TME landscape via flow cytometry, RNA sequencing, protein arrays, culture assays, and spatial tissue characterization. This revealed disease-specific enrichment of immune cells with pronounced differences in proportional abundance of tissue-resident microglia, infiltrating monocyte-derived macrophages, neutrophils, and T cells. These integrated analyses also uncovered multifaceted immune cell activation within brain malignancies entailing converging transcriptional trajectories while maintaining disease- and cell-type-specific programs. Given the interest in developing TME-targeted therapies for brain malignancies, this comprehensive resource