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Microbiota regulates bone marrow mesenchymal stem cell lineage differentiation and immunomodulation

Overview of attention for article published in Stem Cell Research & Therapy, September 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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1 blog
twitter
19 X users
reddit
1 Redditor

Citations

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33 Dimensions

Readers on

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57 Mendeley
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Title
Microbiota regulates bone marrow mesenchymal stem cell lineage differentiation and immunomodulation
Published in
Stem Cell Research & Therapy, September 2017
DOI 10.1186/s13287-017-0670-7
Pubmed ID
Authors

E Xiao, Linhai He, Qiong Wu, Junxiang Li, Yang He, Lu Zhao, Shuo Chen, Jingang An, Yansong Liu, Chider Chen, Yi Zhang

Abstract

Health is dependent on the homeostasis of both inner and external microenvironments. The microbiota as the external microenvironment plays a critical role in regulation of several organ systems in mammals. However, it is unclear whether the microbiota regulates homeostasis of the skeletal system and bone marrow mesenchymal stem cells (BMMSCs). Here, using a well-established germ-free (GF) mouse model, we show that the microbiota significantly alters the stemness of BMMSCs in comparison to specific-pathogen-free (SPF)-derived BMMSCs. Colonization of GF mice with SPF microbiota (conventionalized (ConvD)) normalizes the proliferation and differentiation abilities of BMMSCs. On the other hand, normal microbiota is required to maintain immunomodulatory properties of BMMSCs through induction of activated T-cell apoptosis and cytokine secretion. GF-derived BMMSCs lose the capacity to ameliorate disease phenotypes in dextran sulfate sodium-induced experimental colitis mice. Mechanistically, single-cell RNA-sequencing analysis shows that ConvD BMMSCs have a similar gene expression pattern to SPF-derived BMMSCs, which have a distinct gene distribution from GF-derived BMMSCs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 19%
Student > Master 9 16%
Student > Bachelor 9 16%
Student > Ph. D. Student 4 7%
Student > Doctoral Student 3 5%
Other 9 16%
Unknown 12 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 19%
Immunology and Microbiology 9 16%
Agricultural and Biological Sciences 8 14%
Medicine and Dentistry 6 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 9%
Unknown 17 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 19 April 2022.
All research outputs
#2,021,330
of 23,570,677 outputs
Outputs from Stem Cell Research & Therapy
#129
of 2,495 outputs
Outputs of similar age
#40,911
of 322,233 outputs
Outputs of similar age from Stem Cell Research & Therapy
#6
of 67 outputs
Altmetric has tracked 23,570,677 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,495 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 94% 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 322,233 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 87% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.