ABSTRACT
In order to control the spread of the COVID-19 pandemic, the prevention and control measures of public health emergencies were initiated in all provinces of China in early 2020, which had a certain impact on air quality. In this study, taking Jiangsu Province in China as an example, the air pollution levels in different regions under different levels of pandemic prevention and control (PPC) measures are evaluated. The implementation of the prevention and control policies of COVID-19 pandemic directly affected the concentration of air pollutants. No matter what level of PPC measures was implemented, the air quality index (AQI) and pollutant concentrations of NO2, CO, PM10 and PM2.5 were all reduced by varied degrees. The higher the level of PPC measures, the greater the reduction was in air pollutant concentrations. Specifically, NO2 was the most sensitive to PPC policies. The concentrations of CO and atmospheric particulate matter (PM10 and PM2.5) decreased most obviously under the first and second level of PPC. The response speed of air quality to different levels of PPC measures varied greatly among different cities. Southern Jiangsu, which has a higher level of economic development and is dominated by secondary and tertiary industries, had a faster response speed and a stronger responsiveness. The results of this study reflect the economic vitality of different cities in economically advanced regions (i.e., Jiangsu Province) in China. Furthermore, the results can provide references for the formulation of PPC policies and help the government make more scientific and reasonable strategies for air pollution prevention and control.
ABSTRACT
Pneumonia induced by severe acute respiratory coronavirus 2 (SARS-CoV-2) via ACE2 receptor may affect many organ systems like lung, heart and kidney. An autopsy report revealed positive SARS-Cov-2 detection results in ovary, however, the developmental-stage-specific and cell-type-specific risk in fetal primordial germ cells (PGCs) and adult women ovary remained unclear. In this study, we used single-cell RNA-sequencing (scRNA-seq) datasets spanning several developmental stages of ovary including PGCs and cumulus-oocyte complex (COC) to investigate the potential risk of SARS-CoV-2 infection. We found that PGCs and COC exhibited high ACE2 expression. More importantly, the ratio of ACE2-positive cells was sharply up-regulated in primary stage and ACE2 was expressed in all oocytes and cumulus cells in preovulatory stage, suggesting the possible risk of SARS-CoV-2 infection in follicular development. CatB/L, not TMPRSS2, was identified to prime for SARS-CoV-2 entry in follicle. Our findings provided insights into the potential risk of SARS-CoV-2 infection during folliculogenesis in adulthood and the possible risk in fetal PGCs.