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Autophagy in eukaryotes functions to maintain homeostasis by degradation and recycling of long-lived and unwanted cellular materials. Autophagy plays important roles in pathogenicity of various fungal pathogens, suggesting that autophagy is a novel target for development of antifungal compounds. Here, we describe bioluminescence resonance energy transfer (BRET)-based high-throughput screening (HTS) strategy to identify compounds that inhibit fungal ATG4 cysteine protease-mediated cleavage of ATG8 that is critical for autophagosome formation. We identified ebselen (EB) and its analogs ebselen oxide (EO) and 2-(4-methylphenyl)-1,2-benzisothiazol-3(2H)-one (PT) as inhibitors of fungal pathogens Botrytis cinerea and Magnaporthe oryzae ATG4-mediated ATG8 processing. The EB and its analogs inhibit spore germination, hyphal development, and appressorium formation in Ascomycota pathogens, B. cinerea, M. oryzae, Sclerotinia sclerotiorum and Monilinia fructicola. Treatment with EB and its analogs significantly reduced fungal pathogenicity. Our findings provide molecular insights to develop the next generation of antifungal compounds by targeting autophagy in important fungal pathogens.

Abstract We measured the levels of High‐Mobility Group Box 1 (HMGB1), Receptor for Advanced Glycation Endproducts (RAGE), T Helper 17 cells (Th17), Regulatory T cells (Treg), and related cytokines in the peripheral blood of patients with severe preeclampsia (SPE) complicated with acute heart failure (AHF) to explore the expression changes in these indicators. In total, 96 patients with SPE admitted to Gansu Provincial Maternity and Child‐care Hospital between June 2020 and June 2022 were included in the study. The patients were divided into SPE+AHF (40 patients) and SPE (56 patients) groups based on whether they suffered from AHF. Additionally, 56 healthy pregnant women who either received prenatal examinations or were admitted to our hospital for delivery during the same period were selected as the healthy control group. An enzyme‐linked immunosorbent assay was performed to detect the expression levels of HMGB1, RAGE, interleukin (IL)‐17, IL‐6, transforming growth factor β (TGF‐β), IL‐10, and NT‐proBNP in plasma. Flow cytometry was employed to determine the percentages of Th17 and Treg cells. Compared to the healthy control group, the SPE+AHF and SPE groups had higher plasma levels of HMGB1 and RAGE expression, higher Th17 percentage and Th17/Treg ratio, and lower Treg percentage. Compared to the SPE group, the SPE+AHF group had higher plasma levels of HMGB1 and RAGE expression, higher Th17 percentage and Th17/Treg ratio, and lower Treg percentage (P

Accumulating evidence has shown that the apoptosis of trophoblast cells plays an important role in the pathogenesis of preeclampsia, and an intricate interplay between DNA methylation and polycomb group (PcG) protein-mediated gene silencing has been highlighted recently. Here, we provide evidence that the expression of nervous system polycomb 1 (NSPc1), a BMI1 homologous polycomb protein, is significantly elevated in trophoblast cells during preeclampsia, which accelerates trophoblast cell apoptosis. Since NSPc1 acts predominantly as a transcriptional inactivator that specifically represses HOXA11 expression in trophoblast cells during preeclampsia, we further show that NSPc1 is required for DNMT3a recruitment and maintenance of the DNA methylation in the HOXA11 promoter in trophoblast cells during preeclampsia. In addition, we find that the interplay of DNMT3a and NSPc1 represses the expression of HOXA11 and promotes trophoblast cell apoptosis. Taken together, these results indicate that the cooperation between NSPc1 and DNMT3a reduces HOXA11 expression in preeclampsia pathophysiology, which provides novel therapeutic approaches for targeted inhibition of trophoblast cell apoptosis during preeclampsia pathogenesis.

Autonomous path planning of UAV is a key technical problem for future UAV operation. In view of the shortcomings of traditional route planning methods,such as low efficiency,poor real-time performance,easy to fall into local optimum,an improved heuristic ant colony algorithm for UAV route planning is proposed. In the early stage of the algorithm,Dijkstra algorithm is used to initialize the track,and heuristic information is introduced to improve the search efficiency. Logistic chaotic map is used to initialize pheromone,so that the diversity of solutions can be increased and the convergence speed of the algorithm can be improved. In the middle and late stage of the algorithm,multi-track selection strategy and simulated annealing mechanism are used to improve the global search ability of the algorithm,which avoid falling into local optimum due to too fast convergence speed solution. The simulation results show that,compared with the basic ant colony algorithm,the improved ant colony algorithm can plan a path from the start to the end effectively in the complex environment with threats and obstacles. It also has higher optimization accuracy and faster convergence speed,which is of applicable value.

This retrospective study aimed to analyze the treatment effect and prognostic factors of pediatric acute myeloid leukemia (AML) patients with t(8;21). A total of 268 newly diagnosed pediatric AML (pAML) enrolled from 1 January 2005 to 31 December 2022 were retrospectively reviewed, and 50 (18.7%) patients harbored t(8;21) translocation. CR rate, OS, EFS, and RFS were assessed by multivariate Logistic and Cox regression models in these patients. Of the 50 patients, 2 patients abandoned treatment during the first induction course. Of the remaining 48 patients who received double-induction therapy and were included in the final analyses, CR1 and CR2 were 75.0% (36/48) and 95.8% (46/48), respectively. The overall three-year OS, EFS, and RFS were 68.4% (95% CI, 55.0–85.1), 64.2% (95% CI, 50.7–81.4), and 65.5% (95% CI, 51.9–82.8), respectively. The presence of loss of sex chromosome (LOS) at diagnosis (n = 21) was associated with a better 3-year OS [87.5% (95% CI, 72.7–100) vs. 52.7% (95% CI, 35.1–79.3), p = 0.0089], 3-year EFS [81.6% (95% CI, 64.7–100) vs. 49.7% (95% CI, 32.4–76.4), p = 0.023], and 3-year RFS [81.6% (95% CI, 64.7–100) vs. 51.7% (95% CI, 33.9–78.9), p = 0.036] than those without LOS (n = 27), and it was also an independent good prognostic factor of OS (HR, 0.08 [95% CI, 0.01–0.48], p = 0.005), EFS (HR, 0.22 [95% CI, 0.05–0.85], p = 0.029), and RFS (HR, 0.21 [95% CI, 0.05–0.90], p = 0.035). However, extramedullary leukemia (EML) featured the independent risk factors of inferior OS (HR, 10.99 [95% CI, 2.08–58.12], p = 0.005), EFS (HR, 4.75 [95% CI, 1.10–20.61], p = 0.037), and RFS (HR, 6.55 [95% CI, 1.40–30.63], p = 0.017) in pediatric individuals with t(8;21) AML. Further analysis of combining LOS with EML indicated that the EML+LOS− subgroup had significantly inferior OS (92.9%, [95% CI, 80.3–100]), EFS (86.2%, [95% CI, 70.0–100]), and RFS (86.2%, [95% CI, 80.3–100]) compared to the other three subgroups (all p < 0.001). LOS and EML are independent prognostic factors of OS, EFS, and RFS with t(8;21) pAML patients. LOS combined with EML may help improve risk stratification. [ABSTRACT FROM AUTHOR]

Along with the advancement of low-altitude airspace reform, it has become a developing trend that UAV leaves the isolation airspace and gets into the fusion low-altitude airspace to perform diverse missions. A serious threat is brought to UAV in the low dynamic complex fusion airspace, so the obstacle avoidance technology has become a key process in UAV mission decision-making system, to ensure the safe operation of the UAV and to improve working efficiency. Firstly, the relevant concepts, path evaluation indexes and key technologies of UAV obstacle avoidance are described. Then, the concepts of obstacle avoidance algorithms based on optimization, potential field and machine learning are described, and the advantages and disadvantages of these algorithms are compared. Finally, the current challenges that restrict the development of UAV obstacle avoidance and the future research directions are proposed.