Hyunwook Koh

TL;DR: This simplified animal model reveals multiple potential pathways to understand pathogenesis by which early-life gut microbiome perturbations alter a global suite of intestinal responses, contributing to the accelerated and enhanced T1D development.

TL;DR: OmiAT efficiently discovers significant association signals arising from varying microbial abundances and different relative contributions from microbial abundance and phylogenetic information, and MiCAM is especially efficient for the assessment of upper-level taxa by integrating OMiAT as a group analytic method.

TL;DR: O. formigenes presence was an indicator of altered host gut microbiota structure, including higher community diversity, global network connectivity, and stronger resilience to simulated disturbances, as well as potential underlying host–microbe relationships.

TL;DR: These findings establish RAGE as a mediator of IAPP-induced toxicity and suggest that targeting the IAPP/RAGE axis is a potential strategy to mitigate this source of cell dysfunction in metabolic disease.

TL;DR: A novel microbial diversity association test, namely, adaptive microbiome α-diversity-based association analysis (aMiAD), which simultaneously tests the significance and estimates the effect score of the microbial diversity on a host trait, while robustly maintaining high statistical power and accurate estimation with no issues in validity.