Discovery of a Human Metabolite That Mimics the Bacterial Quorum-Sensing Autoinducer AI-2.

Data in the converted files were analyzed using XCMS Online (Scripps Research Institute) in pairwise comparisons using the UPLC/UHD Q-TOF parameters. The peak picking algorithm was centWave, with significant features identified using unpaired parametric t -test (Welch t test) and a p -value threshold of 0.05. To identify highly significant molecular features, we sorted and filtered the data using the calculated q value, which provides the false discovery rate in multiple hypothesis testing.

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