Understanding the anti-inflammatory effects of a microbiota-derived metabolite using high-content analysis and AlphaLISA

Microbiota has become a hot topic in science, not only due to their important role in maintaining homeostasis but also due to their different disease-modulating activities. One microbiota-derived metabolite in particular, urolithin A (UroA), has demonstrated a clear anti-inflammatory effect by inhibiting NF-_kB signalling and decreasing the production of pro-inflammatory cytokines.

This application note demonstrates a strategy that combines high-content analysis and AlphaLISA cytokine detection to further characterize the anti-inflammatory effect of UroA on LPS-stimulated human macrophage-like cells.

Key features:

• High-content assay to measure I_kB-a degradation
• No-wash AlphaLISA TNF quantification with as low as 5 µL of sample
• Orthogonal assays for quantification of inflammation