Diagnostic and Predictive Value of LncRNA MCM3AP-AS1 in Sepsis and Its Regulatory Role in Sepsis-Induced Myocardial Dysfunction.

The present study focused on exploring the clinical value and molecular mechanism of LncRNA MCM3AP antisense RNA 1 (MCM3AP-AS1) in sepsis and sepsis-induced myocardial dysfunction (SIMD). 122 sepsis patients and 90 healthy were included. Sepsis patients were categorized into SIMD and non-MD. The expression levels of MCM3AP-AS1 and miRNA were examined using RT-qPCR. Diagnostic value of MCM3AP-AS1 in sepsis assessed by ROC curves. Logistic regression to explore risk factors influencing the occurrence of SIMD. Cardiomyocytes were induced by LPS to construct cell models in vitro. CCK-8, flow cytometry, and ELISA to analyze cell viability, apoptosis, and inflammation levels. Serum MCM3AP-AS1 was upregulated in patients with sepsis. The sensitivity and specificity of MCM3AP-AS1 were 75.41% and 93.33%, for recognizing sepsis from healthy controls. Additionally, elevated MCM3AP-AS1 is a risk factor for SIMD and can predict SIMD development. Compared with the LPS-induced cardiomyocytes, inhibition of MCM3AP-AS1 significantly attenuated LPS-induced apoptosis and inflammation; however, this attenuation was partially reversed by lowered miR-28-5p, but this reversal was partially eliminated by CASP2. MCM3AP-AS1 may be a novel diagnostic biomarker for sepsis and can predict the development of SIMD. MCM3AP-AS1 probably participated in SIMD progression by regulating cardiomyocyte inflammation and apoptosis through the target miR-28-5p/CASP2 axis.

Grappling with the trade-offs of carbon emission trading and green certificate: Achieving carbon neutrality in China.

Although our knowledge of national carbon emission trading system and green certificate trading system are powerful incentive instruments that can deliver on increasingly ambitious climate targets in China, there remains an uncertainty of systems' structural reforms. This study builds on and extends a well-established dynamic computable general equilibrium (CGE) model to incorporate carbon trading system and green certificate trading system into the modeling framework, simulating a diverse of system development pathways further allows an exploration of the many possible policy effect. Then, using total factor productivity as a comprehensive indicator to asses policy effectiveness, the evolutionary trend of comprehensive effects under different paths are separately evaluated to discover the reforms' optimal range. Our work offers main results: First, these instruments provide a price signal. The introduction of a carbon allowance auction drive up carbon prices, while the implementation of a green certificate punishment and the expansion of the trading scope promote an increase in green certificate prices. Second, all policy scenarios that help reduce carbon emission intensity and optimize the power supply structure. However, in achieving the net-zero goal, the green certificate policy incurs more economic costs than the carbon trading policy. Indeed, the combination of multiple policy tools alleviates the decline of social welfare levels. Third, synergism design among policy tools: the focus should be on carbon trading policy from 2021 to 2030, green certificate trading policy from 2030 to 2050, and strengthened policy from 2050 to 2060. Reform measures within policies may need to be introduced in a timely manner. This study offers specific insights and tailored policy proposals to support policymakers in balancing environmental goals with economic and social needs in light of the aforementioned findings.