Andrey Morgun

This study examines gut microbiota changes in Asian elephants with GI issues and evaluates the impact of probiotic treatment on microbial composition and fecal health.

The paper identifies that post-inflammatory GI dysmotility results from ENS remodeling driven by monocyte recruitment and neuroinflammation, which can be prevented by enhancing HIF1 signaling in enteric neurons.

This study identifies gut microbial taxa associated with survival in dogs receiving anti-EGFR/HER2 immunotherapy, suggesting potential prognostic biomarkers for canine cancer immunotherapy outcomes.

The paper introduces TkNA, a causal-inference framework for analyzing host-microbiota multi-omics data to identify master regulators of interactions.

The paper identifies betacellulin as a target of omega-3 fatty acids in reducing NASH by suppressing inflammation and fibrosis through mechanisms involving hepatic stellate cells and macrophages.

This study shows that TXN reduces pro-inflammatory gut microbes and alleviates adipose tissue inflammation, improving metabolic syndrome in mice.

The paper introduces the C-SHIFT normalization method to recover the covariance matrix from gene expression data by minimizing noise and improving accuracy over existing techniques.

The paper provides a guide on using network analysis to transform omics data into biological knowledge, including software tools for network reconstruction and interrogation.

The paper introduces a statistical method to estimate and remove erroneous edges in gene regulatory networks, showing improved precision over FDR in large networks.