Evidence map›Paper›PMID 28584706›Full record

ArticlePeerJ2017

Impact of enzymatic digestion on bacterial community composition in CF airway samples.

Kayla M Williamson, Brandie D Wagner, Charles E Robertson, Emily J Johnson, Edith T Zemanick, J Kirk Harris

Abstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Upper airway microbiota development in infants with cystic fibrosis diagnosed by newborn screen.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2023
    Article
  4. Article
  5. Article
  6. Article
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.

Kayla M WilliamsonDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Aurora, CO, United States of America.
Brandie D WagnerDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Aurora, CO, United States of America.
Charles E RobertsonDivision of Infectious Diseases, School of Medicine, University of Colorado, Aurora, CO, United States of America.
Emily J JohnsonDepartment of Pediatrics, School of Medicine, University of Colorado, Aurora, CO, United States of America.
Edith T ZemanickDepartment of Pediatrics, School of Medicine, University of Colorado, Aurora, CO, United States of America.
J Kirk HarrisDepartment of Pediatrics, School of Medicine, University of Colorado, Aurora, CO, United States of America.

Funding

Airway Microbiome in Cystic Fibrosis Pulmonary ExacerbationsK23HL114883 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI ZEMANICK, EDITH TOWLER · 2014 to 2017
$615k
NHLBI NIH HHS K23 HL114883
6 · The paper itself

Abstract

backgroundPrevious studies have demonstrated the importance of DNA extraction methods for molecular detection of

methodsDNA from 81 samples (39 sputum and 42 OP) collected from 63 patients with CF was extracted in duplicate with and without EnzD. Bacterial communities were determined by rRNA gene sequencing, and measures of alpha and beta diversity were calculated. Principal Coordinate Analysis (PCoA) was used to assess differences at the community level and Wilcoxon Signed Rank tests were used to compare relative abundance (RA) of individual genera for paired samples with and without EnzD.

resultsShannon Diversity Index (alpha-diversity) decreased in sputum and OP samples with the use of EnzD. Larger shifts in community composition were observed for OP samples (beta-diversity, measured by Morisita-Horn), whereas less change in communities was observed for sputum samples. The use of EnzD with OP swabs resulted in significant increase in RA for the genera DISCUSSION: We show that the application of EnzD to CF airway samples, particularly OP swabs, results in differences in microbial communities detected by sequencing. Use of EnzD can result in large changes in bacterial community composition, and is particularly useful for detection of

Indexed as

16s SequencingBeta diversityDNA extractionGram positiveMicrobiomeSputum

Identifiers

PMID28584706
PMCPMC5452939

What OpenQuestion holds

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Registered trials

None linked

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.