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Impact of prematurity and nutrition on the developing gut microbiome and preterm infant growth

Overview of attention for article published in Microbiome, December 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
17 X users
reddit
1 Redditor

Citations

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105 Dimensions

Readers on

mendeley
254 Mendeley
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Title
Impact of prematurity and nutrition on the developing gut microbiome and preterm infant growth
Published in
Microbiome, December 2017
DOI 10.1186/s40168-017-0377-0
Pubmed ID
Authors

Alex Grier, Xing Qiu, Sanjukta Bandyopadhyay, Jeanne Holden-Wiltse, Haeja A. Kessler, Ann L. Gill, Brooke Hamilton, Heidie Huyck, Sara Misra, Thomas J. Mariani, Rita M. Ryan, Lori Scholer, Kristin M. Scheible, Yi-Horng Lee, Mary T. Caserta, Gloria S. Pryhuber, Steven R. Gill

Abstract

Identification of factors that influence the neonatal gut microbiome is urgently needed to guide clinical practices that support growth of healthy preterm infants. Here, we examined the influence of nutrition and common practices on the gut microbiota and growth in a cohort of preterm infants. With weekly gut microbiota samples spanning postmenstrual age (PMA) 24 to 46 weeks, we developed two models to test associations between the microbiota, nutrition and growth: a categorical model with three successive microbiota phases (P1, P2, and P3) and a model with two periods (early and late PMA) defined by microbiota composition and PMA, respectively. The more significant associations with phase led us to use a phase-based framework for the majority of our analyses. Phase transitions were characterized by rapid shifts in the microbiota, with transition out of P1 occurring nearly simultaneously with the change from meconium to normal stool. The rate of phase progression was positively associated with gestational age at birth, and delayed transition to a P3 microbiota was associated with growth failure. We found distinct bacterial metabolic functions in P1-3 and significant associations between nutrition, microbiota phase, and infant growth. The phase-dependent impact of nutrition on infant growth along with phase-specific metabolic functions suggests a pioneering potential for improving growth outcomes by tailoring nutrient intake to microbiota phase.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 254 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 254 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 13%
Student > Master 32 13%
Student > Bachelor 22 9%
Researcher 21 8%
Student > Doctoral Student 15 6%
Other 53 21%
Unknown 77 30%
Readers by discipline Count As %
Medicine and Dentistry 51 20%
Agricultural and Biological Sciences 29 11%
Biochemistry, Genetics and Molecular Biology 22 9%
Nursing and Health Professions 20 8%
Immunology and Microbiology 14 6%
Other 31 12%
Unknown 87 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 42. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 March 2019.
All research outputs
#842,693
of 23,011,300 outputs
Outputs from Microbiome
#246
of 1,455 outputs
Outputs of similar age
#21,177
of 439,919 outputs
Outputs of similar age from Microbiome
#6
of 38 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,455 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.4. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 439,919 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.