The research of cancer metabolism heterogeneity seeks to identify common metabolic pathways and processes that are shared across different types of cancer, mainly including specimen collection, data generation, and data analysis. This approach can avoid tumor heterogeneity and present a comprehensive metabolic panorama of tumors, thus helping to identify metabolic targets relevant to multiple cancer types and search for more sensitive markers to develop more broadly effective therapies.

Xiaoxuming decoction, a traditional Chinese medicine utilized for the treatment of ischemic stroke (IS). We use network pharmacology and molecular docking to identify active compounds, key targets, and underlying mechanisms that underpin the therapeutic effects of Xiaoxuming decoction in IS. This study enhances our comprehension of IS treatment and provide a broader perspective on complex mechanisms of disease and drug action.

In November 2022, a large number of Omicron infections suddenly appeared in Beijing, and we collected a series of epidemiology and clinical indexes to analyze the characteristics of the epidemic wave. We found that most mild and asymptomatic cases did not need treatment, indicating that home isolation is correct and feasible.

A large majority of clinical trials demonstrate the promising results of the addition of immune checkpoint inhibitor (ICI) to the existing treatment strategy for patients with advanced or metastatic esophageal squamous cell carcinoma (ESCC). Therefore, this article aims to discuss the results of these trials and to highlight the changes and future of ESCC treatment.

SARS-CoV-2 causing coronavirus disease-19 (COVID-19) triggers cytokine storm through various inflammatory mediators. Epicatechin gallate (ECG) has potential to bind various cytokines as well as pyroptosis-associated proteins like caspases and BAX. Therefore ECG could be a potential drug to subvert cytokine storm and pyroptosis during COVID-19.

The two-sample Mendelian randomization and linkage disequilibrium score regression analyses revealed no association between coronavirus disease 2019 and estradiol levels, menstruation, and female infertility. However, the infection may causally influence sex hormone-binding globulin and total testosterone levels in females, while its impact on female reproductive function appears to be largely independent of the disease severity.