Assessment of PM2.5-related health effects: A comparative study using multiple methods and multi-source data in China.

In China, PM2.5 pollution has caused extensive death and economic loss. Thus, an accurate assessment of the spatial distribution of these losses is crucial for delineating priority areas for air pollution control in China. In this study, we assessed the PM2.5 exposure-related health effects according to the integrated exposure risk function and non-linear power law (NLP) function in 338 prefecture-level cities in China by utilizing online monitoring data and the PM2.5 Hindcast Database (PHD). Our results revealed no significant difference between the monitoring data and PHD (p value = 0.66 > 0.05). The number of deaths caused by PM2.5-related Stroke (cerebrovascular disease), ischemic heart disease, chronic obstructive pulmonary disease, and lung cancer at the national level estimated through the NLP function was 0.27 million (95% CI: 0.06-0.50), 0.23 million (95% CI: 0.08-0.38), 0.31 million (95% CI: 0.04-0.57), and 0.31 million (95% CI: 0.16-0.40), respectively. The total economic cost at the national level in 2016 was approximately US$80.25 billion (95% CI: 24.46-132.25). Based on a comparison of Z statistics, we propose that the evaluation results obtained using the NLP function and monitoring data are accurate. Additionally, according to scenario simulations, Beijing, Chongqing, Tianjin, and other cities should be priority areas for PM2.5 pollution control to achieve considerable health benefits. Our statistics can help improve the accuracy of PM2.5-related health effect assessments in China.

Comprehensive dynamic analysis of proteins in the spermatheca of female Haemaphysalis longicornis after copulation.

Ticks are obligate blood-sucking parasitic arthropods. When sucking the blood of hosts, they can also transmit a variety of pathogens to hosts that severely endanger the health of humans and animals. The spermatheca is an organ for the storage and protection of sperm and an important component of the reproductive system of female ticks. The spermatheca content changes dramatically over time after copulation. In particular, some proteins and polypeptide substances can influence the physiological functions of female ticks and promote blood feeding and egg laying by female ticks. To investigate the molecular mechanisms underlying the productive process of Haemaphysalis longicornis, data-independent acquisition (DIA) quantitative proteomics technology was used to perform in-depth research of the dynamic changes in all proteins in the spermatheca of ticks within a short time after copulation to look for key proteins in the spermatheca contents after copulation that affect the reproduction of female ticks in order to provide meaningful information for the comprehensive prevention and control of ticks.