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This is the first study to report the distribution of urolithin metabotypes (UMs) in Asian people, specifically in the Chinese. As was reported for Europeans and Latin Americans, three UMs were observed, UM-A (54.3%), UM-B (31.4%), and UM-0 (14.3%), in 35 healthy Chinese youth. The richness and diversity of gut microbiota were lower in UM-0 than in UM-A and UM-B at the genus level. Gordonibacter in UM-A and UM-B was significantly higher than that in UM-0. The Akkermansia was not found in UM-0. The correlation analysis between the type and content of urolithins and the gut microbiota at the genus level showed that 27 genera were significantly positively correlated with urolithin A and 20 genera were significantly positively associated with isourolithin A and urolithin B. In addition, different KEGG pathways such as TCA cycle, energy metabolism, and some disease were found between the gut microbiome of the three UMs. Further research is needed to explore the mechanisms of metabotypes and the differential health benefits or illness predisposition of the three UMs.

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Ellagic acid (EA) exhibits potential antiaging activity. Differences in individual ability to produce urolithins may result in large interindividual variability in the health effects of EA. Therefore, the effects and mechanism of EA on d-galactose-induced aging, considering urolithin A-producing ability, were investigated. Our results showed that EA improved cognitive impairment and hippocampal damage, increased the GABA (by 107.84–117.86%) and 5-HT (by 72.56–100.85%) levels, and suppressed the inflammatory and oxidative stress in aging rats. Thirteen plasma metabolites and 12 brain metabolites were improved by EA administration in aging rats. In particular, EA showed a better anti-aging effect in high-UroA-producing rats than in the low counterparts, while antibiotic intervention almost offset EA-alleviated aging induced by d-gal. Furthermore, the lower ratio of Firmicutes and Bacteroidota as well as the greater abundances of Akkermansia (by 139.21%), Bifidobacterium (by 88.04%), Clostridium_sensu_stricto_1 (by 183.47%), Lactobacillus (by 97.23%), and Turicibacter (by 83.06%) were observed in the high-UroA-producing group compared with the model group (p < 0.05). These findings provide novel insights into the anti-aging effects of EA and suggest that the ability of the gut microbiota responding to EA largely determines EA’s anti-aging performance.