β-Glucuronidase-IN-3

Microbiome analysis characterizes microbial communities in biological or environmental samples by measuring community composition, diversity, taxonomic structure, functional potential, and associations with host or environmental phenotypes. 16S rRNA gene amplicon sequencing is commonly used for bacterial and archaeal taxonomic profiling, while shotgun metagenomics provides higher taxonomic resolution and direct functional information, including microbial genes, pathways, viruses, fungi, and antimicrobial-resistance genes when sequencing depth and host-DNA contamination are adequately controlled. Microbiome results are strongly affected by sample collection, storage, DNA extraction, contamination, sequencing method, reference database, and bioinformatic pipeline; therefore, standardized protocols, negative controls, mock communities, and transparent analysis workflows are required. Unresolved issues include low-biomass contamination, compositional-data bias, inconsistent species-level c

The NLRP3 inflammasome is a cytosolic innate immune signaling platform that integrates priming signals and danger-signal activation to promote caspase-1 activation, maturation of IL-1β and IL-18, and gasdermin D-mediated pyroptotic cell death. The core experimental logic is to determine whether inflammatory disease phenotypes are driven by increased NLRP3 expression, ASC-containing inflammasome assembly, caspase-1 cleavage, GSDMD cleavage, and extracellular release of IL-1β/IL-18 rather than by nonspecific cell injury alone. The pathway is strongly linked to inflammation-related disease phenotypes because monosodium urate crystals activate NALP3/NLRP3 inflammasome signaling in gout-like crystal inflammation, cholesterol crystals activate NLRP3 inflammasomes in atherogenesis models, and DSS-induced intestinal inflammation has been reported to involve NLRP3 inflammasome activity. However, experimental colitis studies also show context-dependent protective effects of NLRP3 inflammasome co