Gut microbiome composition predicts biological aging pace independent of chronological age

Scientists have successfully predicted the pace of biological aging through gut microbiome composition, bypassing the need for chronological age as a variable. In a study of 123 Hawaiian and Pacific Islander participants, EpiBiome models built from 16S rRNA sequencing and DNA methylation data pinpointed critical bacterial taxa: Bifidobacterium adolescentis emerged as the dominant predictor of decelerated aging, while Succinivibrio dextrinosolvens showed the strongest association with accelerated aging. The species-level model achieved statistical significance (R² = 0.152), demonstrating that specific intestinal taxa are de facto markers of biological aging pace independent of chronological years. These findings open a mechanistic research pathway toward controlled probiotic and microbiota transplant therapies that could deliberately modulate hundreds of bacterial species, transforming a previously uncontrolled variable into a precision therapeutic tool for longevity-focused practitioners.