Michael Harrop
Active member
https://today.ucsd.edu/story/new-findings-may-fix-the-replicability-crisis-in-microbiome-research
https://www.nature.com/articles/s42255-024-01064-1
https://www.nature.com/articles/s42255-024-01064-1
“Unexplained variability and lack of replicability may be due to the fact that the microbiome oscillates throughout the day, with different populations of microbes dominating at different times,”. “We found that when a sample is taken can dramatically affect which microbes were present and the conclusions the scientists drew about the disease they were studying.”
"As little as four hours after a mouse eats breakfast, nearly 80 percent of its microbiome is different. For that reason, WHEN a sample is taken can dramatically affect which microbes are present and therefore the conclusions a scientist draws about the disease they are studying.”
Abstract
As the microbiome field moves from descriptive and associative research to mechanistic and interventional studies, being able to account for all confounding variables in the experimental design, which includes the maternal effect1, cage effect2, facility differences3, as well as laboratory and sample handling protocols4, is critical for interpretability of results. Despite significant procedural and bioinformatic improvements, unexplained variability and lack of replicability still occur.
One underexplored factor is that the microbiome is dynamic and exhibits diurnal oscillations that can change microbiome composition5,6,7. In this retrospective analysis of 16S amplicon sequencing studies in male mice, we show that sample collection time affects the conclusions drawn from microbiome studies and its effect size is larger than those of a daily experimental intervention or dietary changes. The timing of divergence of the microbiome composition between experimental and control groups is unique to each experiment. Sample collection times as short as only 4 hours apart can lead to vastly different conclusions. Lack of consistency in the time of sample collection may explain poor cross-study replicability in microbiome research. The impact of diurnal rhythms on the outcomes and study design of other fields is unknown but likely significant.
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