A study published in iMetaMed reveals that the mTOR inhibitor Everolimus treats ulcerative colitis through a two-pronged approach: inhibiting the CLEC4E inflammatory pathway in macrophages and promoting beneficial gut bacteria that produce propionic acid, thereby restoring the intestinal barrier.

A new editorial published in Med Research addresses the critical imbalance between rapid technological advancements and global health accessibility. The authors outline a vision for a new interdisciplinary platform designed to bridge the gap between basic research and clinical application, advocating for an open, collaborative ecosystem that ensures medical breakthroughs benefit populations worldwide, regardless of geographic or economic limitations.

Primary malignant pericardial mesothelioma (PMPM) is an exceptionally rare and aggressive tumor originating in the lining of the heart. Due to its ambiguous symptoms and lack of specific guidelines, misdiagnosis is common and survival rates are low. A new expert consensus, published in the journal Med Research, synthesizes multicenter clinical expertise to establish the first standardized protocols for PMPM. The consensus highlights the necessity of multimodal imaging, molecular pathology, and the emerging role of immunotherapy in extending patient survival.

Abstract

Purpose – This paper aims to identify the macro variables that affect China’s ETS market through a mixed-frequency sampling data with a variable selection model.

Design/methodology/approach – This paper focuses on the Hubei, Guangdong and Shenzhen ETS in China. It integrates exogenous factors, in aspect of economic, financial, energy and environment, to identify key drivers of ETS market volatility. First, this study applies the GARCH-MIDAS model to process mixed-frequency data. Second, this paper employs the Lasso method to select the most predictive factors and enhance volatility forecasting. Finally, this paper evaluates the effectiveness of the conclusions through model parameter estimation, out-of-sample prediction, robustness test and economic value evaluation.

Findings – First, China’s ETS market volatility is primarily driven by the energy sector, with limited influence from policy and environmental factors. Second, ETS market volatility varies across regions. The power sector strongly influences the Hubei ETS market, whereas the Guangdong and Shenzhen ETS markets are more affected by the energy market. Third, out-of-sample analysis and robustness tests statistically indicate that the GARCH-MIDAS-Adaptive-Lasso model enhances forecasting accuracy.

Originality/value – First, this paper integrates multidimensional factors into the model. Second, this paper combines the adaptive Lasso method with the GARCH-MIDAS model to analyse the volatility of China’s ETS market. This method addresses both multicollinearity and variable selection challenges in mixed-frequency data. Third, this paper offers valuable insights for other developing countries seeking to establish or enhance ETS systems.