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Metabolic host responses to infection by intracellular bacterial pathogens

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, January 2013
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Title
Metabolic host responses to infection by intracellular bacterial pathogens
Published in
Frontiers in Cellular and Infection Microbiology, January 2013
DOI 10.3389/fcimb.2013.00024
Pubmed ID
Authors

Wolfgang Eisenreich, Jürgen Heesemann, Thomas Rudel, Werner Goebel

Abstract

The interaction of bacterial pathogens with mammalian hosts leads to a variety of physiological responses of the interacting partners aimed at an adaptation to the new situation. These responses include multiple metabolic changes in the affected host cells which are most obvious when the pathogen replicates within host cells as in case of intracellular bacterial pathogens. While the pathogen tries to deprive nutrients from the host cell, the host cell in return takes various metabolic countermeasures against the nutrient theft. During this conflicting interaction, the pathogen triggers metabolic host cell responses by means of common cell envelope components and specific virulence-associated factors. These host reactions generally promote replication of the pathogen. There is growing evidence that pathogen-specific factors may interfere in different ways with the complex regulatory network that controls the carbon and nitrogen metabolism of mammalian cells. The host cell defense answers include general metabolic reactions, like the generation of oxygen- and/or nitrogen-reactive species, and more specific measures aimed to prevent access to essential nutrients for the respective pathogen. Accurate results on metabolic host cell responses are often hampered by the use of cancer cell lines that already exhibit various de-regulated reactions in the primary carbon metabolism. Hence, there is an urgent need for cellular models that more closely reflect the in vivo infection conditions. The exact knowledge of the metabolic host cell responses may provide new interesting concepts for antibacterial therapies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 282 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
Portugal 1 <1%
Germany 1 <1%
United Kingdom 1 <1%
Turkey 1 <1%
Spain 1 <1%
Russia 1 <1%
Unknown 270 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 71 25%
Researcher 51 18%
Student > Bachelor 29 10%
Student > Master 25 9%
Student > Doctoral Student 20 7%
Other 45 16%
Unknown 41 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 86 30%
Biochemistry, Genetics and Molecular Biology 51 18%
Immunology and Microbiology 34 12%
Medicine and Dentistry 23 8%
Engineering 10 4%
Other 25 9%
Unknown 53 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 May 2020.
All research outputs
#7,185,999
of 22,713,403 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#1,488
of 6,309 outputs
Outputs of similar age
#80,240
of 280,747 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#34
of 92 outputs
Altmetric has tracked 22,713,403 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 6,309 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 75% 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 280,747 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 92 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 61% of its contemporaries.