Evidence map›Paper›PMID 34991717›Full record

ArticleMicrobiome2022

The bacterial density of clinical rectal swabs is highly variable, correlates with sequencing contamination, and predicts patient risk of extraintestinal infection.

Rishi Chanderraj, Christopher A Brown, Kevin Hinkle, Nicole Falkowski, Robert J Woods, Robert P Dickson

Abstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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. Review
  2. Article
  3. Review
  4. Anti-Anaerobic Antibiotics, Gut Microbiota, and Sepsis-associated Acute Kidney Injury.American journal of respiratory and critical care medicine · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Detection ofMicroorganisms · 2024
    Article
  12. Article
  13. The Gut Microbiome Modulates Body Temperature Both in Sepsis and Health.American journal of respiratory and critical care medicine · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
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

6 authors.

Rishi ChanderrajDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
Christopher A BrownDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
Kevin HinkleDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
Nicole FalkowskiDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
Robert J WoodsDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
Robert P DicksonDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA. rodickso@med.umich.edu.ORCID 0000-0002-6875-4277

Funding

PULMONARY CELLULAR AND MOLECULAR BIOLOGY TRAININGT32HL007749 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Robert Pickett Dickson · 1993 to 2026
$19.9M
Dynamical modeling of hospital transmission and antibiotic resistance evolution in a multidrug resistant nosocomial pathogenR01AI143852 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WOODS, ROBERT J · 2019 to 2023
$2.9M
The role of the lung microbiome in oxygen-induced lung injuryR01HL144599 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DICKSON, ROBERT PICKETT · 2019 to 2023
$2.1M
NHLBI NIH HHS R01 HL144599NHLBI NIH HHS T32 HL007749NIAID NIH HHS R01 AI143852
6 · The paper itself

Abstract

backgroundIn ecology, population density is a key feature of community analysis. Yet in studies of the gut microbiome, bacterial density is rarely reported. Studies of hospitalized patients commonly use rectal swabs for microbiome analysis, yet variation in their bacterial density-and the clinical and methodologic significance of this variation-remains undetermined. We used an ultra-sensitive quantification approach-droplet digital PCR (ddPCR)-to quantify bacterial density in rectal swabs from 118 hospitalized patients. We compared bacterial density with bacterial community composition (via 16S rRNA amplicon sequencing) and clinical data to determine if variation in bacterial density has methodological, clinical, and prognostic significance.

resultsBacterial density in rectal swab specimens was highly variable, spanning five orders of magnitude (1.2 × 10

conclusionsThe bacterial density of rectal swabs is highly variable, and this variability is of methodological, clinical, and prognostic significance. Microbiome studies using rectal swabs are vulnerable to sequencing contamination and should include appropriate negative sequencing controls. Among hospitalized patients, gut bacterial density is associated with clinical exposures (antibiotics, comorbidities) and independently predicts infection risk. Bacterial density is an important and under-studied feature of gut microbiome community analysis. Video abstract.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaBacteriaHumansRectumRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID34991717
PMCPMC8734160

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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.