Evidence map›Paper›PMID 34930464›Full record

ArticleGut pathogens2021

Assessing the impact of storage time on the stability of stool microbiota richness, diversity, and composition.

Elizabeth A Holzhausen, Maria Nikodemova, Courtney L Deblois, Jodi H Barnet, Paul E Peppard, Garret Suen, Kristen M Malecki

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In one paragraph

Article in Gut pathogens, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Elizabeth A Holzhausen *Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, USA. holzhausen@wisc.edu.ORCID http://orcid.org/0000-0002-1773-0099
Maria Nikodemova *Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, USA.
Courtney L DebloisDepartment of Bacteriology, University of Wisconsin-Madison, Madison, USA.
Jodi H BarnetPopulation Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, USA.
Paul E PeppardPopulation Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, USA.
Garret SuenDepartment of Bacteriology, University of Wisconsin-Madison, Madison, USA.
Kristen M MaleckiPopulation Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, USA. kmalecki@wisc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNew technologies like next-generation sequencing have led to a proliferation of studies investigating the role of the gut microbiome in human health, particularly population-based studies that rely upon participant self-collection of samples. However, the impact of methodological differences in sample shipping, storage, and processing are not well-characterized for these types of studies, especially when transit times may exceed 24 h. The aim of this study was to experimentally assess microbiota stability in stool samples stored at 4 °C for durations of 6, 24, 48, 72, and 96 h with no additives to better understand effects of variable shipping times in population-based studies. These data were compared to a baseline sample that was immediately stored at - 80 °C after stool production.

resultsCompared to the baseline sample, we found that the alpha-diversity metrics Shannon's and Inverse Simpson's had excellent intra-class correlations (ICC) for all storage durations. Chao1 richness had good to excellent ICC. We found that the relative abundances of bacteria in the phyla Verrucomicrobia, Actinobacteria, and Proteobacteria had excellent ICC with baseline for all storage durations, while Firmicutes and Bacteroidetes ranged from moderate to good. We interpreted the ICCs as follows: poor: ICC < 0.50, moderate: 0.50 < ICC < 0.75, good: 0.75 < ICC < 0.90, and excellent: ICC > 0.90. Using the Bray-Curtis dissimilarity index, we found that the greatest change in community composition occurred between 0 and 24 h of storage, while community composition remained relatively stable for subsequent storage durations. Samples showed strong clustering by individual, indicating that inter-individual variability was greater than the variability associated with storage time.

conclusionsThe results of this analysis suggest that several measures of alpha diversity, relative abundance, and overall community composition are robust to storage at 4 °C for up to 96 h. We found that the overall community richness was influenced by storage duration in addition to the relative abundances of sequences within the Firmicutes and Bacteroidetes phyla. Finally, we demonstrate that inter-individual variability in microbiota composition was greater than the variability due to changing storage durations.

Identifiers

PMID34930464
PMCPMC8686582

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.