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Mendeley readers
Attention Score in Context
| Title |
Human blood monocytes support persistence, but not replication of the intracellular pathogen C. pneumoniae
|
|---|---|
| Published in |
BMC Immunology, December 2014
|
| DOI | 10.1186/s12865-014-0060-1 |
| Pubmed ID | |
| Authors |
Tanja Buchacher, Herbert Wiesinger-Mayr, Klemens Vierlinger, Beate M Rüger, Gerold Stanek, Michael B Fischer, Viktoria Weber |
| Abstract |
BackgroundIntracellular pathogens have devised various mechanisms to subvert the host immune response in order to survive and replicate in host cells. Here, we studied the infection of human blood monocytes with the intracellular pathogen C. pneumoniae and the effect on cytokine and chemokine profiles in comparison to stimulation with LPS.ResultsMonocytes purified from peripheral blood mononuclear cells by negative depletion were infected with C. pneumoniae. While immunofluorescence confirmed the presence of chlamydial lipopolysaccharide (LPS) in the cytoplasm of infected monocytes, real-time PCR did not provide evidence for replication of the intracellular pathogen. Complementary to PCR, C. pneumoniae infection was confirmed by an oligonucleotide DNA microarray for the detection of intracellular pathogens. Raman microspectroscopy revealed different molecular fingerprints for infected and non-infected monocytes, which were mainly due to changes in lipid and fatty acid content. Stimulation of monocytes with C. pneumoniae or with LPS induced similar profiles of tumor necrosis factor-alpha (TNF-¿) and interleukin (IL)-6, but higher levels of IL-1ß, IL-12p40 and IL-12p70 for C. pneumoniae which were statistically significant. C. pneumoniae also induced release of the chemokines MCP-1, MIP-1¿ and MIP-1ß, and CXCL-8, which correlated with TNF-¿ secretion.ConclusionInfection of human blood monocytes with intracellular pathogens triggers altered cytokine and chemokine pattern as compared to stimulation with extracellular ligands such as LPS. Complementing conventional methods, an oligonucleotide DNA microarray for the detection of intracellular pathogens as well as Raman microspectroscopy provide useful tools to trace monocyte infection. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 18% |
| Student > Bachelor | 3 | 14% |
| Student > Ph. D. Student | 3 | 14% |
| Student > Master | 2 | 9% |
| Student > Doctoral Student | 1 | 5% |
| Other | 4 | 18% |
| Unknown | 5 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 18% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Agricultural and Biological Sciences | 3 | 14% |
| Chemistry | 3 | 14% |
| Immunology and Microbiology | 3 | 14% |
| Other | 1 | 5% |
| Unknown | 5 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 October 2015.
All research outputs
#15,957,869
of 23,685,936 outputs
Outputs from BMC Immunology
#331
of 586 outputs
Outputs of similar age
#218,600
of 364,825 outputs
Outputs of similar age from BMC Immunology
#8
of 13 outputs
Altmetric has tracked 23,685,936 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 586 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 34th percentile – i.e., 34% 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 364,825 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.