Evidence map›Paper›PMID 30915455›Full record

ArticleFEMS microbiology ecology2019

Bacterial colonization and antimicrobial resistance genes in neonatal enteral feeding tubes.

Diana H Taft, Lauren K Salinero, Kannikar Vongbhavit, Karen M Kalanetra, Chad Masarweh, Alice Yu, Mark A Underwood, David A Mills

Open access · bronzeAbstract read
In one paragraph

Article in FEMS microbiology ecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. The neonate respiratory microbiome.Acta physiologica (Oxford, England) · 2025
    Review
  2. Article
  3. Article
  4. MAPLE Processed Nanostructures for Antimicrobial Coatings.International journal of molecular sciences · 2022
    Article
  5. Review
  6. Neonatal intestinal dysbiosis.Journal of perinatology : official journal of the California Perinatal Association · 2020
    Review
  7. 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

8 authors at 2 institutions in 2 countries.

Diana H TaftDepartment of Food Science and Technology, University of California at Davis, One Shields Ave, Davis, California, 95616, USA.
Lauren K SalineroDepartment of Food Science and Technology, University of California at Davis, One Shields Ave, Davis, California, 95616, USA.
Kannikar VongbhavitDepartment of Pediatrics, HRH Princess Maha Chakri Sirindhorn Medical Center, Srinakharinwirot University, Nakornayok, Thailand.
Karen M KalanetraDepartment of Food Science and Technology, University of California at Davis, One Shields Ave, Davis, California, 95616, USA.
Chad MasarwehDepartment of Food Science and Technology, University of California at Davis, One Shields Ave, Davis, California, 95616, USA.
Alice YuDepartment of Food Science and Technology, University of California at Davis, One Shields Ave, Davis, California, 95616, USA.
Mark A UnderwoodFoods for Health Institute, University of California at Davis, One Shields Ave, Davis, California, 95616, USA.
David A MillsDepartment of Food Science and Technology, University of California at Davis, One Shields Ave, Davis, California, 95616, USA.
University of California, Davis · USSrinakharinwirot University · TH

Funding

Activation of probiotic bifidobacteria by milk glyansR01AT008759 · NCCIH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI GERMAN, BRUCE, LEBRILLA, CARLITO B · 2014 to 2018
$4.2M
Genome Sequencer FLXS10RR029668 · NCRR · UNIVERSITY OF CALIFORNIA BERKELEY · PI NGAI, JOHN J. · 2010 to 2010
$623k
Illumina Sequencer to Facilitate Functional Genomics at BerkeleyS10RR027303 · NCRR · UNIVERSITY OF CALIFORNIA BERKELEY · PI TAYLOR, JOHN W. · 2010 to 2010
$500k
Effects of Bifidobacterium Dominance on the Infant MicrobiomeF32HD093185 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI TAFT, DIANA HAZARD · 2017 to 2020
$218k
NCCIH NIH HHS R01 AT008759NCRR NIH HHS S10 RR027303NCRR NIH HHS S10 RR029668NICHD NIH HHS F32 HD093185
6 · The paper itself

Abstract

Enteral feeding is a key component of care in neonatal intensive care units (NICUs); however, feeding tubes harbor microbes. These microbes have the potential to cause disease, yet their source remains controversial and clinical recommendations to reduce feeding tube colonization are lacking. This study aims to improve our understanding of the bacteria in neonatal feeding tubes and to evaluate factors that may affect these bacteria. 16S rRNA gene sequencing was used to characterize the bacteria present in pharyngeal, esophageal, and gastric portions of feeding tubes, residual fluid of the tubes, and infant stool using samples from 47 infants. Similar distributions of taxa were observed in all samples, although beta diversity differed by sample type. Feeding tube samples had lower alpha diversity than stool samples, and alpha diversity increased with gestational age, day of life, and tube dwell time. In a subset of samples from 6 infants analyzed by whole metagenome sequencing, there was greater overlap in transferable antimicrobial resistance genes between tube and fecal samples in breast milk fed infants than in formula fed infants. These findings develop our understanding of neonatal feeding tube colonization, laying a foundation for research into methods for minimizing NICU patients' exposure to antimicrobial resistant microbes.

Indexed as

BacteriaDrug Resistance, BacterialEnteral NutritionFecesGenome, BacterialHumansInfant FormulaInfant, NewbornIntensive Care Units, NeonatalMicrobiotaMilk, HumanRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNA gene sequencingantimicrobial resistance genesbacterianeonatal feeding tubepremature infantswhole metagenome sequencing

Identifiers

PMID30915455
PMCPMC6449222
OpenAlexW2924090430

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.