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Pulmonary invasive fungal infection in immunocompromised hosts is difficult to diagnose, and current tools for diagnosis or monitoring of response to antifungal treatments have inherent limitations. Droplet digital PCR (ddPCR) has emerged as a promising tool for pulmonary pathogen detection with high sensitivity. This study presents a novel ddPCR panel for rapid and sensitive identification of pulmonary fungal pathogens. First, a ddPCR method for detecting three fungal genera, including Pneumocystis, Aspergillus, and Cryptococcus, was established and evaluated. Then, the clinical validation performance of ddPCR was compared with that of qPCR using 170 specimens, and the 6 specimens with inconsistent results were further verified by metagenomics next-generation sequencing, which yielded results consistent with the ddPCR findings. Finally, the area under the ROC curve (AUC) was used to evaluate the efficiency of ddPCR. While the qPCR identified 16 (9.41%) cases of Aspergillus and 6 (3.53%) cases of Pneumocystis, ddPCR detected 20 (11.76%) Aspergillus cases and 8 (4.71%) Pneumocystis cases. The AUC for Aspergillus, Cryptococcus, and Pneumocystis was 0.974, 0.998, and 0.975, respectively. These findings demonstrated that the ddPCR assay is a highly sensitive method for identifying pathogens responsible for invasive fungal pulmonary infections, and is a promising tool for early diagnosis. [ABSTRACT FROM AUTHOR]

This research is focussed to quantify IGF1 by electroanalytical analysis on InterDigitated electrode surface and characterized by the microscopic observations. For the detection, antibody and aptamer were used to analyze the level of IGF1. The sandwich pattern (aptamer-IGF1-antibody) was designed on the chemically modified IDE surface and reached the limit of detection to 10 fM with 100 folds enhancement in the sensitivity. Different control experiments (absence of IGF1, binding with IGF2 and with non-complementary aptamer) were failed to show the current changes, discriminated the specific detection. A good detection strategy is to complement the currently following imaging systems for AAA. [ABSTRACT FROM AUTHOR]

Semen cuscutae is commonly used to treat male infertility (MI), and semen cuscutae flavonoid (SCF) is the main active component of semen cuscutae. The therapeutic mechanism of SCF on MI is still unclear. To clarify the mechanisms of SCF against MI. Network pharmacology and molecular docking were used to predict the potential pathways of SCF against MI. Primary Sertoli cells (SCs) were extracted from testis of 60-day-old rats and divided into Control, Model, and 3 treatment groups. The Control and Model groups were given normal medium, the treatment groups were treated with various concentrations of SCF-containing medium (200, 400, and 800 μg/mL). After 24 h, the Model and treatment groups were exposed to heat stress at 43 °C for 15 min. Western blotting and immunohistochemistry were used to detect the expression of targets. Network pharmacology indicated that the treatment of SCF on MI was closely related to PI3K-AKT signaling pathway. The in vitro experiments showed that SCF could up-regulated the expression of AKT, AR, occludin, and Ki67, and down-regulated the expression of CK-18 in SCs after heat stress. The AKT inhibitor could block this process. SCF can treat MI by regulating the proliferation and differentiation of SCs and the integrity of the blood-testis barrier. The study could provide experimental basis for clinical research. [ABSTRACT FROM AUTHOR]