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Time of sample collection is critical for the replicability of microbiome analyses. | LitMetric

AI Article Synopsis

  • The microbiome research is shifting towards mechanistic studies, highlighting the importance of controlling confounding variables like maternal and cage effects for accurate results.
  • Despite advancements, variability and issues with replicability persist, partly due to the dynamic nature of the microbiome which changes throughout the day.
  • This analysis reveals that sample collection timing in microbiome studies can drastically alter conclusions, with differences as short as 4 hours potentially leading to significant discrepancies between experimental groups.

Article 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 effect, cage effect, facility differences, as well as laboratory and sample handling protocols, 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 composition. 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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11309016PMC
http://dx.doi.org/10.1038/s42255-024-01064-1DOI Listing

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