Collecting fecal samples for microbiome analyses in epidemiology studies

Rashmi Sinha, Jun Chen, Amnon Amir, Emily Vogtmann, Jianxin Shi, Kristin S. Inman, Roberto Flores, Joshua Sampson, Rob Knight, Nicholas D Chia

Research output: Contribution to journalArticle

68 Scopus citations

Abstract

Background: The need to develop valid methods for sampling and analyzing fecal specimens for microbiome studies is increasingly important, especially for large population studies. Methods: Some of the most important attributes of any sampling method are reproducibility, stability, and accuracy. We compared seven fecal sampling methods [no additive, RNAlater, 70% ethanol, EDTA, dry swab, and pre/post development fecal occult blood test (FOBT)] using 16S rRNA microbiome profiling in two laboratories. We evaluated nine commonly used microbiome metrics: abundance of three phyla, two alpha-diversities, and four beta-diversities. We determined the technical reproducibility, stability at ambient temperature, and accuracy. Results: Although microbiome profiles showed systematic biases according to sample method and time at ambient temperature, the highest source of variation was between individuals. All collection methods showed high reproducibility. FOBT and RNAlater resulted in the highest stability without freezing for 4 days. In comparison with no-additive samples, swab, FOBT, and 70% ethanol exhibited the greatest accuracy when immediately frozen. Conclusions: Overall, optimal stability and reproducibility were achieved using FOBT, making this a reasonable sample collection method for 16S analysis. Impact: Having standardized method of collecting and storing stable fecal samples will allow future investigations into the role of gut microbiota in chronic disease etiology in large population studies.

Original languageEnglish (US)
Pages (from-to)407-416
Number of pages10
JournalCancer Epidemiology Biomarkers and Prevention
Volume25
Issue number2
DOIs
StatePublished - Feb 1 2016

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ASJC Scopus subject areas

  • Epidemiology
  • Oncology

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