Temporal variability in quantitative human gut microbiome profiles and implications for clinical research

While clinical gut microbiota research is ever-expanding, extending reference knowledge of healthy between- and within-subject gut microbiota variation and its drivers remains essential; in particular, temporal variability is under-explored, and a comparison with cross-sectional variation is missing. Here, we perform daily quantitative microbiome profiling on 713 fecal samples from 20 Belgian women over six weeks, combined with extensive anthropometric measurements, blood panels, dietary data, and stool characteristics. We show substantial temporal variation for most major gut genera; we find that for 78% of microbial genera, day-to-day absolute abundance variation is substantially larger within than between individuals, with up to 100-fold shifts over the study period. Diversity, and especially evenness indicators also fluctuate substantially. Relative abundance profiles show similar but less pronounced temporal variation. Stool moisture, and to a lesser extent diet, are the only significant host covariates of temporal microbiota variation, while menstrual cycle parameters did not show significant effects. We find that the dysbiotic Bact2 enterotype shows increased between- and within-subject compositional variability. Our results suggest that to increase diagnostic as well as target discovery power, studies could adopt a repeated measurement design and/or focus analysis on community-wide microbiome descriptors and indices. Here, the authors report quantitative daily gut microbiome variation of individual gut bacterial abundances in healthy individuals, linked to changes in transit time and diet, highlighting the potential need for multiple samplings for microbiome target identification and the development and application of reliable microbiome diagnostics.

Automated summary

The study reveals substantial temporal variation in gut microbiota, with greater changes occurring within individuals than between individuals. Factors such as stool moisture and diet play significant roles in influencing temporal microbiota variation. These findings suggest the importance of repeated measurements and community-wide microbiome analysis for diagnostic and target discovery purposes.