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Cross-fostering immediately after birth induces a permanent microbiota shift that is shaped by the nursing mother

Overview of attention for article published in Microbiome, April 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)

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Title
Cross-fostering immediately after birth induces a permanent microbiota shift that is shaped by the nursing mother
Published in
Microbiome, April 2015
DOI 10.1186/s40168-015-0080-y
Pubmed ID
Authors

Joseph G Daft, Travis Ptacek, Ranjit Kumar, Casey Morrow, Robin G Lorenz

Abstract

Current research has led to the appreciation that there are differences in the commensal microbiota between healthy individuals and individuals that are predisposed to disease. Treatments to reverse disease pathogenesis through the manipulation of the gastrointestinal (GI) microbiota are now being explored. Normalizing microbiota between different strains of mice in the same study is also needed to better understand disease pathogenesis. Current approaches require repeated delivery of bacteria and large numbers of animals and vary in treatment start time. A method is needed that can shift the microbiota of predisposed individuals to a healthy microbiota at an early age and sustain this shift through the lifetime of the individual. We tested cross-fostering of pups within 48 h of birth as a means to permanently shift the microbiota from birth. Taxonomical analysis revealed that the nursing mother was the critical factor in determining bacterial colonization, instead of the birth mother. Data was evaluated using bacterial 16S rDNA sequences from fecal pellets and sequencing was performed on an Illumina Miseq using a 251 bp paired-end library. The results show that cross-fostering is an effective means to induce an early and maintained shift in the commensal microbiota. This will allow for the evaluation of a prolonged microbial shift and its effects on disease pathogenesis. Cross-fostering will also eliminate variation within control models by normalizing the commensal microbiota between different strains of mice.

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X Demographics

The data shown below were collected from the profiles of 10 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
France 1 <1%
Unknown 103 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 30%
Researcher 17 16%
Student > Master 14 13%
Student > Bachelor 7 7%
Student > Doctoral Student 5 5%
Other 15 14%
Unknown 15 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 30%
Immunology and Microbiology 18 17%
Medicine and Dentistry 11 10%
Biochemistry, Genetics and Molecular Biology 10 10%
Veterinary Science and Veterinary Medicine 6 6%
Other 13 12%
Unknown 15 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 January 2020.
All research outputs
#6,112,323
of 24,885,505 outputs
Outputs from Microbiome
#1,397
of 1,705 outputs
Outputs of similar age
#66,389
of 270,450 outputs
Outputs of similar age from Microbiome
#12
of 15 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,705 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.5. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 270,450 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.