Lipopolysaccharide Preconditioning Induces an Anti-inflammatory Phenotype in BV2 Microglia.

Increasing evidence indicates that endotoxin tolerance is an essential immune-homeostatic response to repeated exposure to lipopolysaccharide (LPS) that induces a state of altered responsiveness in macrophage, resulting in repression of pro-inflammatory gene expression and increased expression of factors that mediate the resolution of inflammation. In this study, quantitative real-time polymerase chain reaction and Western blot for M1 and M2 markers were performed to characterize phenotypic changes of BV2 microglia. We found that the cytokine and chemokine expression during endotoxin tolerance were mostly similar to those found during M2 polarization. We further examined the expression of M1 and M2 markers in CD11b+ BV2 by double immunofluorescent staining. The expression of M2 markers (CD206) increased, whereas the expression of M1 (CD54) markers reduced during endotoxin tolerance. Moreover, expression of different transcription factor, known for their function in the regulation of pro- and anti-inflammatory reaction, was also different. Our data demonstrate that repeat LPS treatment activates a differentiation program that leads to microglial polarization toward M2-like phenotype.

A N-doped carbon substrate makes the Ru-Co alloy an efficient electrocatalyst for pH-universal seawater splitting.

Designing electrocatalysts for seawater splitting remains challenging. A Ru-Co alloy supported by an N-doped carbon substrate catalyst has been designed using etching and a low-temperature treatment method. Studies show that the superior performance of this catalyst is related to the hollow-structured N-doped carbon frame and surface reconstruction of the Ru-Co alloy.

Assessment of basic reproductive number for COVID-19 at global level: A meta-analysis.

BACKGROUND: There are large knowledge gaps regarding how transmission of 2019 novel coronavirus disease (COVID-19) occurred in different settings across the world. This study aims to summarize basic reproduction number (R0) data and provide clues for designing prevention and control measures. METHODS: Several databases and preprint platforms were retrieved for literature reporting R0 values of COVID-19. The analysis was stratified by the prespecified modeling method to make the R0 values comparable, and by country/region to explore whether R0 estimates differed across the world. The average R0 values were pooled using a random-effects model. RESULTS: We identified 185 unique articles, yielding 43 articles for analysis. The selected studies covered 5 countries from Asia, 5 countries from Europe, 12 countries from Africa, and 1 from North America, South America, and Australia each. Exponential growth rate model was most favored by researchers. The pooled global R0 was 4.08 (95% CI, 3.09-5.39). The R0 estimates for new and shifting epicenters were comparable or even higher than that for the original epicenter Wuhan, China. CONCLUSIONS: The high R0 values suggest that an extraordinary combination of control measures is needed for halting COVID-19.