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Review
. 2017 Aug 1;41(Supp_1):S154-S167.
doi: 10.1093/femsre/fux027.

Practical considerations for large-scale gut microbiome studies

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Review

Practical considerations for large-scale gut microbiome studies

Doris Vandeputte et al. FEMS Microbiol Rev. .

Abstract

First insights on the human gut microbiome have been gained from medium-sized, cross-sectional studies. However, given the modest portion of explained variance of currently identified covariates and the small effect size of gut microbiota modulation strategies, upscaling seems essential for further discovery and characterisation of the multiple influencing factors and their relative contribution. In order to guide future research projects and standardisation efforts, we here review currently applied collection and preservation methods for gut microbiome research. We discuss aspects such as sample quality, applicable omics techniques, user experience and time and cost efficiency. In addition, we evaluate the protocols of a large-scale microbiome cohort initiative, the Flemish Gut Flora Project, to give an idea of perspectives, and pitfalls of large-scale faecal sampling studies. Although cryopreservation can be regarded as the gold standard, freezing protocols generally require more resources due to cold chain management. However, here we show that much can be gained from an optimised transport chain and sample aliquoting before freezing. Other protocols can be useful as long as they preserve the microbial signature of a sample such that relevant conclusions can be drawn regarding the research question, and the obtained data are stable and reproducible over time.

Keywords: cold chain management; faecal sample preservation; gut microbiome; user experience faecal sampling.

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Figures

Figure 1.
Figure 1.
Importance of different features of a faecal sampling procedure. Volunteers were asked to rank six different aspects of the sampling procedure from most important to least important. The figure represents the percentage of people that ranked the feature (y-axis) at a certain level of importance (x-axis). The total score of each feature is given next to its distribution.

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