Evidence map›Paper›PMID 24884524›Full record

ArticleBMC microbiology2014

Processing faecal samples: a step forward for standards in microbial community analysis.

Alba Santiago, Suchita Panda, Griet Mengels, Xavier Martinez, Fernando Azpiroz, Joel Dore, Francisco Guarner, Chaysavanh Manichanh

Abstract read
In one paragraph

Article in BMC microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Purification and Transcriptomic Characterization of Hypertrophied Hepatic Stellate Cells From CDAHFD Mouse Liver.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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  6. Review
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  9. Review
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  11. Faecal amino acids stability: investigating optimal sampling conditions for analysis.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

46 more citing papers are in PubMed but not listed here.

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

8 authors.

Alba Santiago
Suchita Panda
Griet Mengels
Xavier Martinez
Fernando Azpiroz
Joel Dore
Francisco Guarner
Chaysavanh ManichanhVall d'Hebron Research Institute, Digestive System Research Unit, Passeig de la Vall d'Hebron 119-129, Barcelona 08035, Spain. cmanicha@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe microbial community analysis of stools requires optimised and standardised protocols for their collection, homogenisation, microbial disruption and nucleic acid extraction. Here we examined whether different layers of the stool are equally representative of the microbiome. We also studied the effect of stool water content, which typically increases in diarrhoeic samples, and of a microbial disruption method on DNA integrity and, therefore, on providing an unbiased microbial composition analysis.

resultsWe collected faecal samples from healthy subjects and performed microbial composition analysis by pyrosequencing the V4 region of the 16S rRNA gene. To examine the effect of stool structure, we compared the inner and outer layers of the samples (N = 8). Both layers presented minor differences in microbial composition and abundance at the species level. These differences did not significantly bias the microbial community specific to an individual. To evaluate the effect of stool water content and bead-beating, we used various volumes of a water-based salt solution and beads of distinct weights before nucleic acid extraction (N = 4). The different proportions of water did not affect the UniFrac-based clustering of samples from the same subject However, the use or omission of a bead-beating step produced different proportions of Gram-positive and Gram-negative bacteria and significant changes in the UniFrac-based clustering of the samples.

conclusionThe degree of hydration and homogenisation of faecal samples do not significantly alter their microbial community composition. However, the use of bead-beating is critical for the proper detection of Gram-positive bacteria such as Blautia and Bifidobacterium.

Indexed as

BiotaBacteriaCluster AnalysisDNA, BacterialDNA, RibosomalFecesHealthy VolunteersHumansPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASpecimen HandlingDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID24884524
PMCPMC4021188

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LicenceCC BY
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Registered trials

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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.