Circulating MicroRNA Expression Profiles in Patients with Stable and Unstable Angina

OBJECTIVES: High incidence and case fatality of unstable angina (UA) is, to a large extent, a consequence of the lack of highly sensitive and specific non-invasive markers. Circulating microRNAs (miRNAs) have been widely recommended as potential biomarkers for numerous diseases. In the present study, we characterized distinctive miRNA expression profiles in patients with stable angina (SA), UA, and normal coronary arteries (NCA), and identified promising candidates for UA diagnosis. METHODS: Serum was collected from patients with SA, UA, and NCA who visited the Department of Cardiovascular Diseases of the Meizhou People’s Hospital. Small RNA sequencing was carried out on an Illumina HiSeq 2500 platform. miRNA expression in different groups of patients was profiled and then confirmed based on that in an independent set of patients. Functions of differentially expressed miRNAs were predicted using gene ontology classification and Kyoto Encyclopedia of Genes and Genomes pathway analysis. RESULTS: Our results indicated that circulating miRNA expression profiles differed between SA, UA, and NCA patients. A total of 36 and 161 miRNAs were dysregulated in SA and UA patients, respectively. miRNA expression was validated by reverse transcription quantitative polymerase chain reaction. CONCLUSION: The results suggest that circulating miRNAs are potential biomarkers of UA

Reduction Effect of Carbon Emission Trading Policy in Decreasing PM2.5 Concentrations in China

Carbon emissions trading is a market-based tool for solving environmental issues. This study used a difference-in-differences (DID) approach to estimate China’s carbon trading pilots to reduce PM2.5 concentrations. The results of this quasi-natural experiment show that the carbon trading policy effectively reduces PM2.5 by 2.7 μg/m3. We used a propensity score matching (PSM-DID) method to minimize selection bias to construct a treatment and a control group. The results show the policy effect is robust, with a PM2.5 concentration reduction of 2.6 μg/m3. Furthermore, we employed a series of robustness checks to support our findings, which notably indicate that the effect of carbon trading on reducing PM2.5 differs across regions over the years. The western region of China tends to be the most easily affected region, and the early years of carbon trading show slightly greater reduction effects. Our findings provide valuable policy implications for establishing and promoting carbon trading in China and other countries

Improved air quality from China’s clean air actions alleviates health expenditure inequality

Clean air actions aimed at improving air quality in China have brought about significant health benefits, thereby generating substantial savings in air-pollution-related healthcare spending. Yet, uneven regional air quality improvements and economic developments may alter existing inequality in health expenditures in the context of scarce healthcare resources. Here, we developed an econometric model that resolves individual characteristics at the city level to examine the disparity of public health expenditures in air quality improvements across regions differing in economic development and healthcare coverages and projected a range of future health expenditure savings under different air quality targets. We find that of the estimation on four air-pollution-related diseases (COPD, LRI, IHD, and stroke) in 98 cities over the year 2015–2017, a decline of 8.26 % in average hospitalization days and 10.21 % in hospitalization expenses was achieved, leading to a reduction of 8.09 % in total health expenditures as the implementation of clean air actions. Improved air quality has declined health expenditure inequality in low-middle cities and cities with imbalanced healthcare coverage. For example, the total expenses for the four diseases declined significantly in the low (−11.31 %) and medium (−7.34 %) per capita GDP groups, as well as a remarkable decline in the fewer medical resources. Health savings in some future scenarios are significant, showing substantial health expenditure savings under different air quality targets, but the savings will be greatly offset by an aging society. For example, In the Low-Level Improvement Pathway of air quality targets with aging (LLIPA scenario), health expenditure savings will be about 3537, 464, and 311 million CNY in the eastern, central, and western regions in 2035, respectively. Our findings thus highlight the importance of strengthening air pollution control policies and considering the equality of alleviating regional public health costs

A general equilibrium assessment of economic impacts of provincial unbalanced carbon intensity targets in China

It is necessary to measure the economic impacts of the attempts to achieve China's carbon emission intensity reduction target. Consequently, this study analyzes the economic impacts of the differentiated CO2 intensity targets between Guangxi Province and the rest of China. An improved two-region computable general equilibrium model with eight scenarios is used. Our results show that different CO2 intensity targets in different regions will affect Guangxi's GDP, carbon price, welfare, and output. The highest reduction target of 75% in the P75C65 scenario in Guangxi will lead to a cost of 0.42% in per capita GDP loss, 0.51% of welfare loss, and a carbon price of 49.4 USD/t. In addition, the output of the energy-intensive sectors is most vulnerable to carbon mitigation policy. The two mechanisms that affect economic indicators are price and scale effects. Under the P75C65 scenario, sectors such as vehicle manufacturing are winners and are affected by both price and scale effects in Guangxi, with export, provincial outflow, domestic supply, and output decreasing by 1.64%, 0.88%, 0.93%, and 0.93%, respectively. In contrast, sectors such as agriculture are losers and are affected by the scale effect, with these four indicators increasing by 1.25%, 0.97%, 0.59%, and 0.73%, respectively. These findings provide valuable insights for policy makers who wish to allocate provincial reduction targets and achieve co-benefits between the economy and the environment

Prevalence of risk factors associated with rupture of abdominal aortic aneurysm (AAA): a single center retrospective study

Background Abdominal aortic aneurysm (AAA) is a severe cardiovascular disease. The mortality rate for an AAA rupture is very high. Understanding the risk factors for AAA rupture would help AAA management, but little is known about these risk factors in the Chinese population. Methods This retrospective study included patients that were diagnosed with AAA during the last 5 years in a large national hospital in southern China. AAA patients were divided into a rupture and non-rupture group. Clinical data were extracted from the hospital medical record system. Clinical features were compared between the rupture and non-rupture groups. The associations between potential risk factors and rupture risk were evaluated using a multivariate logistic regression analysis. Results A total of 337 AAA patients were included for analysis in the present study. AAA diameter was significantly larger, and high-sensitivity C-reactive protein (hs-CRP) and serum creatinine levels were both significantly higher in AAA rupture patients. High-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and total cholesterol (TC) levels were significantly lower in AAA rupture patients. After adjustment, the multivariate logistic analysis found that AAA diameter and hs-CRP were independently positively associated with AAA rupture, and HDL-C level was adversely associated with AAA rupture. Conclusions Our data suggests that larger AAA diameter and higher hs-CRP level are associated with a higher risk of AAA rupture, and higher HDL-C level is associated with a lower risk of AAA rupture. The results of this study may be helpful for the management of AAA patients in southern China

Cleaner heating policies contribute significantly to health benefits and cost-savings: A case study in Beijing, China

Summary: Cleaner heating policies aim to reduce air pollution and may bring about health benefits to individuals. Based on a fixed-effect model focusing on Beijing, this study found that after the onset of air pollution, daily clinic visits, hospitalization days, and hospitalization expenses increased several days after the occurrence of air pollution. These hospitalization changes were observed in males and females and three different age groups. A difference-in-differences (DID) model was constructed to identify the influences of cleaner heating policies on health consequences. The study revealed that the policy positively affects health outcomes, with an average decrease of 3.28 thousand clinic visits for all diseases. The total hospitalization days and expenses tend to decrease by 0.22 thousand days and 0.34 million CNY (Chinese Yuan), respectively. Furthermore, implementing the policy significantly reduced the number of daily clinic visits for respiratory diseases, asthma, stroke, diabetes, and chronic obstructive pulmonary diseases (COPDs)

Uncovering the differentiated impacts of carbon neutrality and clean air policies in multi-provinces of China

Summary: Ambitious action plans have been launched to address climate change and air pollution. Through coupling the IMED|CGE, GAINS, and IMED|HEL models, this study investigate the impacts of implementing carbon neutrality and clean air policies on the energy-environment-health-economy chain in the Beijing-Tianjin-Hebei-Henan-Shandong-Shanxi region of China. Results show that Shandong holds the largest reduction in energy consumption and carbon emissions toward the 1.5°C target. Shandong, Henan, and Hebei are of particularly prominent pollutant reduction potential. Synergistic effects of carbon reduction on decreasing PM2.5 concentration will increase in the future, specifically in energy-intensive regions. Co-deployment of carbon reduction and end-of-pipe technologies are beneficial to decrease PM2.5-related mortalities and economic loss by 4.7–12.9% in 2050. Provincial carbon reduction cost will be higher than monetary health benefits after 2030, indicating that more zero-carbon technologies should be developed. Our findings provide scientific enlightenment on policymaking toward achieving carbon reduction and pollution mitigation from multiple perspectives

Antitumor effect of endostatin overexpressed in C6 glioma cells is associated with the down-regulation of VEGF

Science and Technology Commission, Fujian, China [02Y034]Endostatin is an anti-angiogenic agent that blocks endothelial cell proliferation, tumor growth, and metastasis. Several lines of direct evidence show that gliomas express high levels of endostatin. However, the anti-angiogenic activity and cellular mechanisms of endostatin from tumor cells have not been completely elucidated. In this study, we established C6 glioblastoma (GBM) xenografts in nude mice by subcutaneously injecting glioma cell lines, C6-null cells, and stable transfected-C6 cells overexpressing mock vector (C6-mock) and endostatin (C6-endo). We found that overexpression of endostatin in C6-endo cells significantly suppressed the expression of VEGF in tumor cells in vivo as well as in vitro. Furthermore, the tumor growth derived from C6-endo cells was inhibited. Our data demonstrate that endostatin could play a direct role in inhibiting tumor cells, and suggest that enhancing endostatin expression in gliomas could be an effective treatment strategy