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Influenza A virus infection impacts systemic microbiota dynamics and causes quantitative enteric dysbiosis

Overview of attention for article published in Microbiome, January 2018
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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 (92nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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1 blog
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1 patent

Citations

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194 Dimensions

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Title
Influenza A virus infection impacts systemic microbiota dynamics and causes quantitative enteric dysbiosis
Published in
Microbiome, January 2018
DOI 10.1186/s40168-017-0386-z
Pubmed ID
Authors

Soner Yildiz, Béryl Mazel-Sanchez, Matheswaran Kandasamy, Balaji Manicassamy, Mirco Schmolke

Abstract

Microbiota integrity is essential for a growing number of physiological processes. Consequently, disruption of microbiota homeostasis correlates with a variety of pathological states. Importantly, commensal microbiota provide a shield against invading bacterial pathogens, probably by direct competition. The impact of viral infections on host microbiota composition and dynamics is poorly understood. Influenza A viruses (IAV) are common respiratory pathogens causing acute infections. Here, we show dynamic changes in respiratory and intestinal microbiota over the course of a sublethal IAV infection in a mouse model. Using a combination of 16S rRNA gene-specific next generation sequencing and qPCR as well as culturing of bacterial organ content, we found body site-specific and transient microbiota responses. In the lower respiratory tract, we observed only minor qualitative changes in microbiota composition. No quantitative impact on bacterial colonization after IAV infection was detectable, despite a robust antimicrobial host response and increased sensitivity to bacterial super infection. In contrast, in the intestine, IAV induced robust depletion of bacterial content, disruption of mucus layer integrity, and higher levels of antimicrobial peptides in Paneth cells. As a functional consequence of IAV-mediated microbiota depletion, we demonstrated that the small intestine is rendered more susceptible to bacterial pathogen invasion, in a Salmonella typhimurium super infection model. We show for the first time the consequences of IAV infection for lower respiratory tract and intestinal microbiobiota in a qualitative and quantitative fashion. The discrepancy of relative 16S rRNA gene next-generation sequencing (NGS) and normalized 16S rRNA gene-specific qPCR stresses the importance of combining qualitative and quantitative approaches to correctly analyze composition of organ associated microbial communities. The transiently induced dysbiosis underlines the overall stability of microbial communities to effects of acute infection. However, during a short-time window, specific ecological niches might lose their microbiota shield and remain vulnerable to bacterial invasion.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 181 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 17%
Researcher 30 17%
Student > Master 18 10%
Student > Bachelor 18 10%
Student > Doctoral Student 9 5%
Other 29 16%
Unknown 47 26%
Readers by discipline Count As %
Immunology and Microbiology 33 18%
Biochemistry, Genetics and Molecular Biology 27 15%
Agricultural and Biological Sciences 24 13%
Medicine and Dentistry 12 7%
Veterinary Science and Veterinary Medicine 6 3%
Other 24 13%
Unknown 55 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 07 August 2023.
All research outputs
#1,530,021
of 25,519,924 outputs
Outputs from Microbiome
#536
of 1,773 outputs
Outputs of similar age
#34,911
of 452,042 outputs
Outputs of similar age from Microbiome
#25
of 51 outputs
Altmetric has tracked 25,519,924 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,773 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.1. This one has gotten more attention than average, scoring higher than 69% 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 452,042 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 92% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.