Chengguo Xing

This study examines sex differences in anxiety-like behavior in male and female mice using open field and elevated plus maze tests, finding convergent activity measures but divergent anxiety dimensions.

This study identifies bioactive kavalactones in AB-free kava that suppress lung inflammation via PKA/CREB/COX-2 signaling, offering a new therapeutic approach for smoke-induced pulmonary diseases.

This study shows AB-free kava reduces anxiety-like behavior in mice without sedation but does not prevent nicotine-induced suppression of exploration.

This study shows AB-free kava reduces tobacco smoke-induced CREB phosphorylation in mouse cerebellum, suggesting a potential therapeutic role.

The paper develops an LC-MS/MS method to quantify NNAL-specific protein adducts in biological samples to assess tobacco exposure and estimate NNAL bioactivation.

This paper introduces a Bayesian framework for detecting circadian rhythmicity biomarkers across the genome, showing improved false discovery rate control and performance in RNA-sequencing data.

CosinorTest is an R Shiny app for circadian and differential analysis of transcriptomic data using Cosinor models, offering tools for rhythmicity detection, differential pattern assessment, and visualization.

This study evaluates AB-free kava's effects on tobacco smoke-exposed mice, showing it mitigates health deficits with safety, suggesting potential for reducing tobacco-related harm.

The paper develops linear mixed model methods to detect circadian rhythmicity and differential circadian patterns using repeated measurements, showing improved statistical power and validity.