COVID-19 pandemic continues worldwide with many variants arising, especially those of variants of concern (VOCs). A recent VOC, Omicron (B.1.1.529), which obtains a large number of mutations in the receptor-binding domain (RBD) of the spike protein, has risen to intense scientific and public attention. Here we studied the binding properties between the human receptor ACE2 (hACE2) and the VOC RBDs and resolved the crystal and cryo- EM structures of the Omicron RBD-hACE2 complex, as well as the crystal structure of Delta RBD-hACE2 complex. We found that, unlike Alpha, Beta and Gamma, Omicron RBD binds to hACE2 at a similar affinity compared to that of the prototype RBD, which might be due to compensation of multiple mutations for both immune escape and transmissibility. The complex structures of Omicron-hACE2 and Delta-hACE2 reveal the structural basis of how RBD-specific mutations bind to hACE2.
An equation of state is established for the gas phase of CO 2 -H 2 O in the range 0-28 MPa and 323-645 K. The equation for gaseous CO 2 -H 2 O mixtures can accurately reproduce the experimental volumes with an average deviation of 0.25% and a maximum deviation of 2.8%. An accurate model for the molar volumes and densities of liquid CO 2 -H 2 O and CO 2 -H 2 O-NaCl mixtures is developed. The most accurate experimental density data for the CO 2 -H 2 O system in the range 273-623 K and 0.7-35 MPa can be reproduced within (0.05%, and the average deviation is 0.008%. The model for the liquid CO 2 -H 2 O-NaCl mixtures is developed on the basis of our CO 2 -H 2 O model and the H 2 O-NaCl model of Rogers and Pitzer (J. Phys. Chem. Ref. Data 1982,11 (1), 15-81). No additional empirical parameter is introduced for the ternary. This model can predict the ternary density data within experimental errors and is expected to be valid up to 573 K. It is found that both the density model and the equation of state can be extrapolated up to 100 MPa or higher pressure with accuracy close to those of experiments. Computer programs for the related calculations can be downloaded from http://www.geochemmodel.org/programs.htm.
d Pterostilbene (PTE) is a stilbene-derived phytoalexin that originates from several natural plant sources. In this study, we evaluated the activity of PTE against Candida albicans biofilms and explored the underlying mechanisms. In 2,3-bis-(2-methoxy-4-nitro-5-sulfophenyl)-2H-tetrazolium-5-carboxanilide (XTT) reduction assays, biofilm biomass measurement, confocal laser scanning microscopy, and scanning electron microscopy, we found that <16 g/ml PTE had a significant effect against C. albicans biofilms in vitro, while it had no fungicidal effect on planktonic C. albicans cells, which suggested a unique antibiofilm effect of PTE. Then we found that PTE could inhibit biofilm formation and destroy the maintenance of mature biofilms. At 4 g/ ml, PTE decreased cellular surface hydrophobicity (CSH) and suppressed hyphal formation. Gene expression microarrays and real-time reverse transcription-PCR showed that exposure of C. albicans to 16 g/ml PTE altered the expression of genes that function in morphological transition, ergosterol biosynthesis, oxidoreductase activity, and cell surface and protein unfolding processes (heat shock proteins). Filamentation-related genes, especially those regulated by the Ras/cyclic AMP (cAMP) pathway, including ECE1, ALS3, HWP1, HGC1, and RAS1 itself, were downregulated upon PTE treatment, indicating that the antibiofilm effect of PTE was related to the Ras/cAMP pathway. Then, we found that the addition of exogenous cAMP reverted the PTE-induced filamentous growth defect. Finally, with a rat central venous catheter infection model, we confirmed the in vivo activity of PTE against C. albicans biofilms. Collectively, PTE had strong activities against C. albicans biofilms both in vitro and in vivo, and these activities were associated with the Ras/cAMP pathway.
Candida albicans is the most common fungal pathogen. Galleria mellonella is widely used as an infection model host. Nevertheless, the G. mellonella-C. albicans infection model had not been optimized for drug evaluation before this study. In this work, we revealed that 5 × 10(5) colony forming unit (CFU)/larva was a suitable inoculum to optimize the G. mellonella-C. albicans infection model in order to evaluate antifungal agents. Using our optimized model, the antifungal effect of fluconazole, amphotericin B and flucytosine, and the synergy between amphotericin B and flucytosine were successfully verified. Thus, this study provides a rapid, inexpensive and reliable way to evaluate antifungals in vivo.
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